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mode 100644 frontend/web/src/pages/AgentTasks.tsx rename {Front-End/webpr => frontend/web}/src/pages/Billing.tsx (94%) create mode 100644 frontend/web/src/pages/Chat.tsx rename {Front-End/webpr => frontend/web}/src/pages/CheckoutError.tsx (100%) rename {Front-End/webpr => frontend/web}/src/pages/CheckoutSuccess.tsx (100%) rename {Front-End/webpr => frontend/web}/src/pages/CommitMessages.tsx (100%) rename {Front-End/webpr => frontend/web}/src/pages/Controls.tsx (100%) rename {Front-End/webpr => frontend/web}/src/pages/Dashboard.tsx (100%) rename {Front-End/webpr => frontend/web}/src/pages/Invoices.tsx (100%) rename {Front-End/webpr => frontend/web}/src/pages/Landingpage.tsx (100%) rename {Front-End/webpr => frontend/web}/src/pages/Login.tsx (95%) rename {Front-End/webpr => frontend/web}/src/pages/Logs.tsx (100%) rename {Front-End/webpr => frontend/web}/src/pages/MyAccount.tsx (100%) rename {Front-End/webpr => frontend/web}/src/pages/NotFound.tsx (100%) rename {Front-End/webpr => frontend/web}/src/pages/PullRequests.tsx (100%) rename {Front-End/webpr => frontend/web}/src/pages/Settings.tsx (74%) rename {Front-End/webpr => frontend/web}/src/pages/SignupCheckout.tsx (100%) rename {Front-End/webpr => frontend/web}/src/pages/Workflows.tsx (100%) create mode 100644 frontend/web/src/types/chatkit-tools.d.ts rename {Front-End/webpr => frontend/web}/src/vite-env.d.ts (100%) rename {Front-End/webpr => frontend/web}/tailwind.config.ts (100%) create mode 100644 frontend/web/tsconfig.json create mode 100644 frontend/web/tsconfig.node.json create mode 100644 frontend/web/vite.config.ts diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml index 1b6e390a3..0ec1c32cf 100644 --- a/.github/workflows/deploy.yml +++ b/.github/workflows/deploy.yml @@ -1,4 +1,4 @@ -name: Deploy Employers AI +name: Deploy Software AI on: @@ -7,6 +7,8 @@ on: branches: - main +env: + NODE_VERSION: '22.x' jobs: build-and-deploy: @@ -36,25 +38,26 @@ jobs: rsync -avz --delete ./ ${{ secrets.DEPLOY_USER }}@${{ secrets.DEPLOY_HOST }}:/home/administrator/deploys/softwareai \ --exclude node_modules \ --exclude .git \ - --exclude front-end/node_modules + --exclude frontend/web/node_modules + --exclude electron/web/node_modules - name: Make dir on VPS run: | ssh ${{ secrets.DEPLOY_USER }}@${{ secrets.DEPLOY_HOST }} " - mkdir -p /home/administrator/deploys/softwareai/Back-End/Keys && \ - mkdir -p /home/administrator/deploys/softwareai/Front-End + mkdir -p /home/administrator/deploys/softwareai/backend/Keys && \ + mkdir -p /home/administrator/deploys/softwareai/frontend/web " - name: Create keys.env on VPS run: | ssh ${{ secrets.DEPLOY_USER }}@${{ secrets.DEPLOY_HOST }} " - printf '%s' '${{ secrets.BACK_END_ENV_KEYS }}' > /home/administrator/deploys/softwareai/Back-End/Keys/keys.env + printf '%s' '${{ secrets.BACK_END_ENV_KEYS }}' > /home/administrator/deploys/softwareai/backend/Keys/keys.env " - name: Create .env on VPS run: | ssh ${{ secrets.DEPLOY_USER }}@${{ secrets.DEPLOY_HOST }} " - printf '%s' '${{ secrets.FRONT_END_ENV_KEYS }}' > /home/administrator/deploys/softwareai/Front-End/.env + printf '%s' '${{ secrets.FRONT_END_ENV_KEYS }}' > /home/administrator/deploys/softwareai/frontend/web/.env " - name: Create COMPOSE on VPS @@ -72,3 +75,84 @@ jobs: docker container prune && \ docker compose up --build -d --no-deps softwareai_frontend softwareai_api " + + build-electron: + name: "⚡ Build Electron App" + runs-on: windows-latest + needs: build-frontend + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-node@v3 + with: + node-version: ${{ env.NODE_VERSION }} + - name: Install Modules + run: npm install + - name: Install Electron + run: npm install --save-dev electron@latest + - name: Download frontend/electron build + uses: actions/download-artifact@v4 + with: + name: vite-dist + path: dist + - name: Copy frontend/electron to Electron + shell: bash # ⬅️ use Bash em vez de pwsh + run: | + mkdir -p public + cp -r dist/* public/ + - name: Build Electron App + run: npx electron-builder --win --publish never + - uses: actions/upload-artifact@v4 + with: + name: electron-app + path: dist/*.exe # ◀️ captura o instalador Windows + + release: + name: "🚀 Create GitHub Release" + runs-on: ubuntu-latest + needs: build-electron + if: github.event.pull_request.merged == true + permissions: + contents: write + steps: + - name: "Checkout code (to read package.json)" + uses: actions/checkout@v4 + with: + fetch-depth: 1 + + - name: "Setup Node.js" + uses: actions/setup-node@v3 + with: + node-version: ${{ env.NODE_VERSION }} + + - name: "Get version from package.json" + id: get_version + run: | + version=$(node -p "require('./package.json').version") + echo "version=$version" >> $GITHUB_OUTPUT + + - name: "Download Electron artifact" + uses: actions/download-artifact@v4 + with: + name: electron-app + path: ./release-assets + + - name: Delete existing release (if any) + run: | + version=v${{ steps.get_version.outputs.version }} + gh release delete "$version" --yes || true + git push --delete origin "$version" || true + + env: + GH_TOKEN: ${{ secrets.GH_TOKEN }} + + - name: Create GitHub Release and Upload Assets + id: create_release + uses: softprops/action-gh-release@v1 + with: + tag_name: v${{ steps.get_version.outputs.version }} + name: "Release v${{ steps.get_version.outputs.version }}" + draft: false + prerelease: false + token: ${{ secrets.GH_TOKEN }} + files: | + ./release-assets/** \ No newline at end of file diff --git a/.gitignore b/.gitignore index 1fc2621b9..f337fc35c 100644 --- a/.gitignore +++ b/.gitignore @@ -1,12 +1,58 @@ -Back-End/Save/ +# Local databases +smart_call_triage.db +# OS +.DS_Store +Thumbs.db + +# Python +__pycache__/ +*.py[cod] +*.egg-info/ +.venv/ +.env +ENV/ + +# Node +node_modules/ +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +*.tsbuildinfo + +# Build artifacts +build/ +dist/ +.vite/ +.coverage/ +coverage/ +__pycache__/ +*.py[cod] +*.egg-info/ +.venv/ +*.env +.ruff_cache/ +.pytest_cache/ +.coverage/ +*.log +backend/Save/ mongo-init.js Legacy/AgentsWorkFlow/ +backend/Agents/gpt_engineer/keys.env +backend/WorkEnv/ +backend/Modules/ChatKit/data_tools/data.py +backend/Agents/AppAI/RequirementsPlanner/Knowledge/keys.env +backend/Agents/AppAI/SprintsSheduler/Sessions/ +backend/Agents/AppAI/RequirementsPlanner/save/ +backend/Modules/ChatKit/Thread_Sessions/ ProductionFiles/Certifi/ ProductionFiles/keys.env ProductionFiles/.env +backend/Agents/JobSearch/Curriculo/ +backend/Agents/JobSearch/Reports/ Legacy/Keys/InternalDocs/ -Back-End/Keys/ -Back-End/Invoices/ +backend/Keys/ +backend/Invoices/ Legacy/LocalProject/ node_modules/ Tests/ @@ -16,7 +62,7 @@ __pycache__/ *.pyc *.cpython-39.pyc **/__pycache__/ -Back-End/Keys/keys.env +backend/Keys/keys.env # Logs logs diff --git a/Back-End/.dockerignore b/Back-End/.dockerignore deleted file mode 100644 index 9d150e95f..000000000 --- a/Back-End/.dockerignore +++ /dev/null @@ -1,4 +0,0 @@ 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It is safest -to attach them to the start of each source file to most effectively -state the exclusion of warranty; and each file should have at least -the "copyright" line and a pointer to where the full notice is found. - - - Copyright (C) - - This program is free software: you can redistribute it and/or modify - it under the terms of the GNU Affero General Public License as published - by the Free Software Foundation, either version 3 of the License, or - (at your option) any later version. - - This program is distributed in the hope that it will be useful, - but WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - GNU Affero General Public License for more details. - - You should have received a copy of the GNU Affero General Public License - along with this program. If not, see . - -Also add information on how to contact you by electronic and paper mail. - - If your software can interact with users remotely through a computer -network, you should also make sure that it provides a way for users to -get its source. For example, if your program is a web application, its -interface could display a "Source" link that leads users to an archive -of the code. There are many ways you could offer source, and different -solutions will be better for different programs; see section 13 for the -specific requirements. - - You should also get your employer (if you work as a programmer) or school, -if any, to sign a "copyright disclaimer" for the program, if necessary. -For more information on this, and how to apply and follow the GNU AGPL, see -. diff --git a/Docs/git context layer.md b/Docs/git context layer.md new file mode 100644 index 000000000..c24b69a09 --- /dev/null +++ b/Docs/git context layer.md @@ -0,0 +1,94 @@ +# Documentação: PR AI - Git Context Layer + +O **Git Context Layer** é um recurso central dentro do aplicativo **PR AI** (Inteligência Artificial para Pull Requests) projetado para analisar diff na camada de pre staging de commit permitindo automatizar e aprimorar o processo de criação de mensagens de commit e o fluxo de trabalho Git/GitHub local do desenvolvedor. Ele utiliza modelos de Inteligência Artificial para gerar mensagens de commit contextuais, facilitando a manutenção de um histórico de commits limpo e descritivo. + +## Funcionalidades Principais + +| Componente | Função | Arquivo de Exemplo | +| :--- | :--- | :--- | +| **Geração de Commit AI** | Gera automaticamente mensagens de commit com base nas alterações do código-fonte (diffs) usando um modelo de IA configurável. | `CommitPreview.tsx` | +| **Configuração** | Permite que o usuário ajuste parâmetros do sistema, como o modelo de IA, limites de alteração (thresholds) e automações. | `ConfigPanel.tsx` | +| **Automação** | Oferece opções para **Auto Push** e **Auto Create PR** (Criação Automática de Pull Request) após um commit bem-sucedido. | `ConfigPanel.tsx` | +| **Interface de Usuário** | Interface de navegação lateral coesa e responsiva, com controle de estado de colapso. | `app-sidebar.tsx` | + +--- + +## 1. Navegação da Aplicação (AppSidebar) + +O componente `AppSidebar` define a estrutura de navegação principal da aplicação, sendo o ponto de entrada para todas as funcionalidades. + +### Componente `AppSidebar` (`app-sidebar.tsx`) + +| Recurso | Descrição | +| :--- | :--- | +| **Identidade Visual** | Exibe o nome **PR AI - Git Context Layer** e um ícone de `Bot` no cabeçalho. O título é ocultado quando a barra lateral está no estado **"collapsed"** (colapsada). | +| **Itens de Navegação** | Os links são definidos no array `navigationItems`. O contexto atual mostra: | +| | - **Git Context Layer** (`/gitcontextlayer`): Principal recurso de IA de Commits. | +| | - **Pull Requests** (`/prs`): Para monitoramento de PRs. | +| **Estilização Ativa** | O `getNavClassName` aplica estilos distintos (`bg-gradient-primary`, `shadow-glow`) ao item de menu que corresponde ao caminho atual, usando a função `isActive`. | +| **Funcionalidade de Logout** | O botão de `Logout` chama a função `handleLogout`, que utiliza o `useAuth().logout()` e, em seguida, recarrega a página (`window.location.reload()`) para efetuar a desconexão completa do usuário. | + +--- + +## 2. Pré-visualização e Ação de Commit (CommitPreview) + +O componente `CommitPreview` é a interface onde a mensagem de commit gerada pela IA é exibida e onde o usuário pode interagir para copiar ou realizar o commit de fato. + +### Componente `CommitPreview` (`CommitPreview.tsx`) + +| Propriedade (Props) | Tipo | Descrição | +| :--- | :--- | :--- | +| `message` | `string` | A mensagem de commit gerada pela IA. | +| `status` | `'SUCCESS' \| 'NO_CHANGES' \| 'ERROR'` | O status da operação de geração de commit. Controla a cor do indicador de status. | +| `onCommit` | `() => void` | Função de callback para ser executada quando o botão "Commit & Push" é clicado. | +| `isLoading` | `boolean` | Indica se o processo de commit está em andamento. | + +### Elementos de Interface + +* **Status do AI-Generated Commit**: Exibido com cores baseadas no `status`: **SUCCESS** (Verde), **NO\_CHANGES** (Laranja/Amarelo) ou **ERROR** (Vermelho). +* **Ação de Copiar**: Um botão com ícone de `Copy` que, ao ser clicado, copia a `message` para a área de transferência do sistema e exibe uma notificação (`toast.success`). +* **Área de Mensagem**: Usa `ScrollArea` para exibir a mensagem de commit (`message`) em uma fonte mono espaçada e com quebras de linha (`whitespace-pre-wrap`), garantindo que o formato do commit seja preservado. +* **Botão de Commit**: "Commit & Push". Está desabilitado se não houver `message`, se estiver `isLoading` ou se o `status` não for **SUCCESS**. O texto muda para "Committing..." durante o carregamento. + +--- + +## 3. Painel de Configuração (ConfigPanel) + +O `ConfigPanel` permite que o usuário gerencie as configurações que afetam tanto o comportamento da IA quanto as automações do Git. + +### Componente `ConfigPanel` (`ConfigPanel.tsx`) + +### Carregamento e Estado + +1. **Obtenção de Configurações**: No `useEffect`, o componente faz uma requisição `GET` para o endpoint de configurações (`/api/settings`) utilizando os dados de autenticação (`access_token`, `user_email`, `user_senha`) armazenados no `localStorage`. +2. **Mapeamento de Dados**: Os dados recebidos da API são mapeados para o estado local (`localConfig`). São fornecidos valores *default* caso algum campo esteja ausente, por exemplo, `ai_model: 'gpt-5-nano'`, `lines_threshold: 50`. + +### Campos de Configuração + +O painel é dividido em seções para gerenciar diferentes aspectos da aplicação: + +#### 3.1. Credenciais e Modelos +* **GitHub API Key**: Campo de `Input` tipo `password` para o `GITHUB_TOKEN`, essencial para interagir com a API do GitHub (ex: para criação de PRs ou push). +* **Language (`commitLanguage`)**: `Select` para definir o idioma das mensagens de commit geradas pela IA (`Português` ou `English`). O valor padrão é `'en'`. +* **AI Model (`ai_model`)**: `Select` para escolher o modelo de Inteligência Artificial que será usado para a geração dos commits. Opções de exemplo incluem: `gpt-5-nano` (padrão), `gpt-5-mini`, `gpt-5`, e `gpt-4`. + +#### 3.2. Limites (Thresholds) + +Esses limites definem as condições sob as quais o sistema de IA deve ser acionado ou as operações devem ocorrer. + +| Configuração | Descrição | Tipo | Padrão | +| :--- | :--- | :--- | :--- | +| **Lines Threshold** (`lines_threshold`) | Número máximo de linhas alteradas (incluindo inserções/deleções) a partir do qual a IA pode ser acionada. | `number` | `50` | +| **Files Threshold** (`files_threshold`) | Número máximo de arquivos alterados. | `number` | `5` | +| **Time Threshold (s)** (`time_threshold`) | Limite de tempo em segundos para alguma métrica interna. | `number` | `60` | +| **Throttle (ms)** (`throttle_ms`) | Intervalo mínimo de tempo em milissegundos entre operações. | `number` | `60000` | + +#### 3.3. Automações (Switches) + +* **Auto Push (`auto_push`)**: `Switch` booleano. Se ativado, o repositório local fará um `git push` automaticamente após um commit bem-sucedido. +* **Auto Create Pr (`auto_create_pr`)**: `Switch` booleano. Se ativado, uma Pull Request será criada automaticamente no GitHub após o `commit` e `push`. + +### Ação de Salvar + +* A função `handleSave` realiza uma requisição `PUT` para o endpoint `/api/settings`, enviando o `localConfig` atualizado. +* O botão **Save Configuration** é desabilitado e tem o texto alterado para "Saving..." enquanto a requisição de salvamento está em andamento. \ No newline at end of file diff --git a/mvp.md b/Docs/mvp.md similarity index 100% rename from mvp.md rename to Docs/mvp.md diff --git a/Front-End/git-genius-commit/.env b/Front-End/git-genius-commit/.env deleted file mode 100644 index dcb08b627..000000000 --- a/Front-End/git-genius-commit/.env +++ /dev/null @@ -1 +0,0 @@ -VITE_BACK_END=http://localhost:5910 \ No newline at end of file diff --git a/Front-End/git-genius-commit/README.md b/Front-End/git-genius-commit/README.md deleted file mode 100644 index 8c7c7c29c..000000000 --- a/Front-End/git-genius-commit/README.md +++ /dev/null @@ -1,73 +0,0 @@ -# Welcome to your Lovable project - -## Project info - -**URL**: https://lovable.dev/projects/1d94e90c-85d7-4aed-8fa2-ede2b4be6989 - -## How can I edit this code? - -There are several ways of editing your application. - -**Use Lovable** - -Simply visit the [Lovable Project](https://lovable.dev/projects/1d94e90c-85d7-4aed-8fa2-ede2b4be6989) and start prompting. - -Changes made via Lovable will be committed automatically to this repo. - -**Use your preferred IDE** - -If you want to work locally using your own IDE, you can clone this repo and push changes. Pushed changes will also be reflected in Lovable. - -The only requirement is having Node.js & npm installed - [install with nvm](https://github.com/nvm-sh/nvm#installing-and-updating) - -Follow these steps: - -```sh -# Step 1: Clone the repository using the project's Git URL. -git clone - -# Step 2: Navigate to the project directory. -cd - -# Step 3: Install the necessary dependencies. -npm i - -# Step 4: Start the development server with auto-reloading and an instant preview. -npm run dev -``` - -**Edit a file directly in GitHub** - -- Navigate to the desired file(s). -- Click the "Edit" button (pencil icon) at the top right of the file view. -- Make your changes and commit the changes. - -**Use GitHub Codespaces** - -- Navigate to the main page of your repository. -- Click on the "Code" button (green button) near the top right. -- Select the "Codespaces" tab. -- Click on "New codespace" to launch a new Codespace environment. -- Edit files directly within the Codespace and commit and push your changes once you're done. - -## What technologies are used for this project? - -This project is built with: - -- Vite -- TypeScript -- React -- shadcn-ui -- Tailwind CSS - -## How can I deploy this project? - -Simply open [Lovable](https://lovable.dev/projects/1d94e90c-85d7-4aed-8fa2-ede2b4be6989) and click on Share -> Publish. - -## Can I connect a custom domain to my Lovable project? - -Yes, you can! - -To connect a domain, navigate to Project > Settings > Domains and click Connect Domain. - -Read more here: [Setting up a custom domain](https://docs.lovable.dev/features/custom-domain#custom-domain) diff --git a/Front-End/git-genius-commit/src/App.tsx b/Front-End/git-genius-commit/src/App.tsx deleted file mode 100644 index d8edb38a7..000000000 --- a/Front-End/git-genius-commit/src/App.tsx +++ /dev/null @@ -1,50 +0,0 @@ - -import { Toaster } from "@/components/ui/toaster"; -import { Toaster as Sonner } from "@/components/ui/sonner"; -import { TooltipProvider } from "@/components/ui/tooltip"; -import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; -import { BrowserRouter, Routes, Route, Navigate } from "react-router-dom"; -import Login from "./pages/Login"; -import Index from "./pages/Index"; - -import { AuthProvider, useAuth } from "./contexts/AuthContext"; -import ProtectedRoute from "./components/ProtectedRoute"; - -const queryClient = new QueryClient(); - -const AppRoutes = () => { - const { isAuthenticated } = useAuth(); - - return ( - - {isAuthenticated ? ( - - } /> - } /> - {/* } /> */} - - ) : ( - - } /> - } /> - - } /> - - )} - - ); -}; - -const App = () => ( - - - - - - - - - -); - -export default App; diff --git a/Front-End/webpr/.dockerignore b/Front-End/webpr/.dockerignore deleted file mode 100644 index 40b878db5..000000000 --- a/Front-End/webpr/.dockerignore +++ /dev/null @@ -1 +0,0 @@ -node_modules/ \ No newline at end of file diff --git a/Front-End/webpr/.env b/Front-End/webpr/.env deleted file mode 100644 index 466e9f8d9..000000000 --- a/Front-End/webpr/.env +++ /dev/null @@ -1,2 +0,0 @@ -VITE_BACK_END=http://localhost:5910 -VITE_STRIPE_PUBLISHABLE_KEY=pk_test_51QpX90Cvm2cRLHtdoF7n2Ea4sRRjYBx8Csiii0e6M6ECTJJ8fKaQ1DKpJApfJZH5hIkWRojaMmaxY9sEcS50tspB00DF2IA12h \ No newline at end of file diff --git a/Front-End/webpr/bun.lockb b/Front-End/webpr/bun.lockb deleted file mode 100644 index 160304d398161f97165233dfe6636caa631bfdfb..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 198351 zcmeGF30RF?8~=@ONu|<6Q3*|y<|3jrNF!+^QJUv@AXGw;p~#qImZ35v6*5Gmk||0` zWJ-lXhC;mOXAj~EFVMZIWQyv`RPzc1k?x=>v=^*MK22XVYovG zqLAOu%U}!!T>!8EXmnI?fG5;_2zepM`+_2G2PzIa3M#?J#G#ZwbdbKtxrs4?g;PzP`#3#tNnj8_s=4D>tHmj-=GahE``ULXV` z2f76E76?*K_S+Q_V)=5 z@Lj~vrt$`$gP`06IP4$4;4thC#xMvD>xTq{284S=MR`IV`+*A-j130PkTlpj<;imBK+I8IrR$9AQIqTee}j+zXeg8V&DzrV+jm8m`aQQ#ddpv zV*mPkM1?I3WiSfmnSQRqe6;K_2bhggo-$IEf&gg*?u;g>W9nD}bsu zpW^M6nf5#*J-lE#GAbdDyzp42Jr7XyNBjl`LKwnZvu+-Lwq9r ze6$%1Qa(bJIZnPFQPB~=NBYD>VTg~R9NV`?jXBR=gW@;|QT4rp7oa=FL@Hh{|FEC{ zZ;wddD4zvBq0v#W?|6F$M25?0Fynm=itB{<^$1-A`=Xb>N2K3RJ4#>&=Zht*PwcO# zu+UJSNQ?*TL`PL?G0VMm)S?5R5tK4OJt8AL7P;y$+Xwk5e~)k{PT_2Q|#w=Rg!YI zFHrHGpmgm-X8R66UJ$s6dd&Sm9Tdm)=RU0#5Oo6bI3MokDi03x_K1Q7 zv<>Xw`t}Nrip37pgMP#Qv(;zXHv|=hygZcSzB2?A+w~PLFj&tUb~!cQ(5SbNM}N;j zF|I~X?2l`pI6pHD84TD064!xZJYFH*LFkX{&;Q)F$@PR>FaEjD|F8G+;}9oom5G_4 zI3735m~pRwJg#qYJ=ko{+!u&{ay=l|lLR=A{nTyAY-ckl+O43p02J--1jTwm*35pa z02PCLF(~%8ANa-VmmMh9yE>hj&jXc&{IVGg25i-d`c%A1pxDo1RDJQ8%=)cdO#Tk! zalCFp9{Dp=`7Ti02Uk!U1d8!Gf?~VJgW^6og39l=XZjfkd2B~#KV}>?pg6w&95-@3 z-2>;bJ;|WxF9a0*%m&5wO{UI|q?88~F#q;@~qd-$Z6+lBlvA!*JUJXsJz1d0tp~+*-}vW!OAXXU{yv-+1U(4~m&(Kgptw(L2NeJf@Cyx#gc;x)5bCW41AYm{9LtL+ z4aZw$*o!~|LIR>0MG?&NtAWQj%p;k8;Fe$k#&;g_$omF+L`VC0GZsTVjL#=3CORM( zuGdi!F+P!t7#&ee&L=87(g*zeK|SnGaPf10^Y99b#0JlWa*TgN471!E@;GkZKAtgn zWeNd1nBXcD45t_c5Cygm?kChB20xF$pJ6d#A_LR{p>B9g=pwH$Z=aP5nRbFfrJ%kJ zWmg;&=W%~f95?Xwvmd(xne834m>Fkal-kc*3%EXpdqhV0^n-GYbHWm)js?Yedlhsb zC|>kEp#6`*4#uAn$DB9ike7sf56lbnOZs6Zl;isGOJLfor{ak630Z*G-G7d^1=Pd! zLih>54}<(r&{3c(z&`r%0>%8(L}px9L2-Y%$YA!{4Nw8dllv)h|MF=WGmbXUzO2Vp zE12tstjkEqao@_K%2$A5Jieefp7x+ZE}O3A^RVGHl5N{K6qE|Yht*83DKD6nW#`uTMq%!YI> zDo<`sSn4jBf7f8;%!>Ss>CR@mn{xIIE$Lo;e4L2sIOS~<&hr+R44-+e(c9Bv;ANu` zj#``Y>l!MykJ$dOIkrT+?aB_#tKG}_6t7FYRR|N`cBtRSNZwW5MvYR1l{`x-?0T2P zH{S9aaxKSv?h{7x^_82)=kp8b$c5@|RNPurYiT_Dh+Tx&G~rLH?jITX?EJXgFJDIc ze~egc#z<-r8MTF1l>^J>UF+Ry7sm%IN?dxQ28MH)pf^4I9u^AZX796?WMNJcXn!r)Et{> z$s+TDgOmDYMe%Hi_sWdFZv#)vq#!^SI)*)65=(R(C2v5A@oO9dq z!|oS-#NM28UHf*cp4Y@KsYmpm@eoc@Of1+@UijVx`+zd8?{_!YCIp{*m|u`r z9g_BW|IGJhhgD}cIEc01HxhrGG3g>-Jb&A48N)s6zSKlr{9bFXKd??nFH}t2+H!|@ zal2IVxu8Yw3hNsU&n5JT`UHI+cVoM|rI&!*YNv)L-)|gK8aF6INh|x7bZgA#Z>1A@ zuKU<|uQ=gzYpmYPGy4M<#4P$gSH{9{?ZDMm&9`@Kuab%gIW2JI*g_Mrex^(I>D1Zm z&hDAuVDaERcf$DXb8_X|2PH2!H_zi{)$8ee%T#LjN8SlKIWKCp#rIR$3UTvij#QAl zT(@>+Pg&tPZqLkdUj)z3-jeSYJ3Qd_lN7i2(npp)KK8PZVRN~_vF@Db4$ZJz+tY`} zk2e-5WaL#}UZ-Q-@~LQrGH>?kJ@R91_Dxw68F=2+s;xYZ$90Fny6n(bAy;-dzqGsV zwSQFTYdWT#

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"@/components", - "utils": "@/lib/utils", - "ui": "@/components/ui", - "lib": "@/lib", - "hooks": "@/hooks" - } -} \ No newline at end of file diff --git a/Front-End/webpr/eslint.config.js b/Front-End/webpr/eslint.config.js deleted file mode 100644 index e67846f70..000000000 --- a/Front-End/webpr/eslint.config.js +++ /dev/null @@ -1,29 +0,0 @@ -import js from "@eslint/js"; -import globals from "globals"; -import reactHooks from "eslint-plugin-react-hooks"; -import reactRefresh from "eslint-plugin-react-refresh"; -import tseslint from "typescript-eslint"; - -export default tseslint.config( - { ignores: ["dist"] }, - { - extends: [js.configs.recommended, ...tseslint.configs.recommended], - files: ["**/*.{ts,tsx}"], - languageOptions: { - ecmaVersion: 2020, - globals: globals.browser, - }, - plugins: { - "react-hooks": reactHooks, - "react-refresh": reactRefresh, - }, - rules: { - ...reactHooks.configs.recommended.rules, - "react-refresh/only-export-components": [ - "warn", - { allowConstantExport: true }, - ], - "@typescript-eslint/no-unused-vars": "off", - }, - } -); diff --git a/Front-End/webpr/public/favicon.ico b/Front-End/webpr/public/favicon.ico deleted file mode 100644 index dd5a12627d36db7eb9c19fa2f931ff1509f0323e..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 7645 zcmV<39U|h1P)Px#L}ge>W=%~1DgXcg2mk?xX#fNO00031000^Q000001E2u_0{{R30RRC20H6W@ z1ONa40RR91NuUD&1ONa40RR91N&o-=0Bu*^%m4r#M@d9MRCodHn@y-?*;U8S$Gxv; ziKa3R(glL(KrGsUO^fCcg9dTXBXQOxs0f1HPEBid5tJsVoko;)lI|peB9gQNZ4pA! zaS{|mp_AYsRtLc^=#*g6_1?Yb9Dl$6+ULGk-IeZ62Cr)1d3EmIXYH@G{`lvG-pEl+SkK?g{{5{2o@oo)xID2~!1SoOQ2aP@V3@6r`SHtWwwgAyUpEYuo zYj0RWIv^CNq|`dFCv8>`kp?s>QUE0|TTBmf1B`iMKeS$I~?08in1Po7EcU+yg+EsuWqN;ixz7E>_T zxKlv1R1lgh#-n_dYX!FPuWD9$C*BNy7lRxSxP4{OX70(^3@5g0$ae0P~>V3TK z0%ZZqA zeSUb}4^OSN?ninTNZowtML6d<*I z9b@gS@bRgEBSNW!7Qc2s*>nJDIlgubZLV;m8}Ar0huvMVBT+W$7n#sqV`HlTVoZTT zHqrvn%Iqz3C84TmR(djPA7VjXNxJeW^$kmD^1kl${sr*^NPzQ1*Rw?)#sa1%%|u$o 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b/Front-End/webpr/public/placeholder.svg deleted file mode 100644 index e763910b2..000000000 --- a/Front-End/webpr/public/placeholder.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/Front-End/webpr/public/robots.txt b/Front-End/webpr/public/robots.txt deleted file mode 100644 index 6018e701f..000000000 --- a/Front-End/webpr/public/robots.txt +++ /dev/null @@ -1,14 +0,0 @@ -User-agent: Googlebot -Allow: / - -User-agent: Bingbot -Allow: / - -User-agent: Twitterbot -Allow: / - -User-agent: facebookexternalhit -Allow: / - -User-agent: * -Allow: / diff --git a/Front-End/webpr/src/App.css b/Front-End/webpr/src/App.css deleted file mode 100644 index b9d355df2..000000000 --- a/Front-End/webpr/src/App.css +++ /dev/null @@ -1,42 +0,0 @@ -#root { - max-width: 1280px; - margin: 0 auto; - padding: 2rem; - text-align: center; -} - -.logo { - height: 6em; - padding: 1.5em; - will-change: filter; - transition: filter 300ms; -} -.logo:hover { - filter: drop-shadow(0 0 2em #646cffaa); -} -.logo.react:hover { - filter: drop-shadow(0 0 2em #61dafbaa); -} - -@keyframes logo-spin { - from { - transform: rotate(0deg); - } - to { - transform: rotate(360deg); - } -} - -@media (prefers-reduced-motion: no-preference) { - a:nth-of-type(2) .logo { - animation: logo-spin infinite 20s linear; - } -} - -.card { - padding: 2em; -} - -.read-the-docs { - color: #888; -} diff --git a/Front-End/webpr/src/main.tsx b/Front-End/webpr/src/main.tsx deleted file mode 100644 index 719464e3d..000000000 --- a/Front-End/webpr/src/main.tsx +++ /dev/null @@ -1,5 +0,0 @@ -import { createRoot } from 'react-dom/client' -import App from './App.tsx' -import './index.css' - -createRoot(document.getElementById("root")!).render(); diff --git a/Front-End/webpr/tsconfig.app.json b/Front-End/webpr/tsconfig.app.json deleted file mode 100644 index 0b0e43e6b..000000000 --- a/Front-End/webpr/tsconfig.app.json +++ /dev/null @@ -1,30 +0,0 @@ -{ - "compilerOptions": { - "target": "ES2020", - "useDefineForClassFields": true, - "lib": ["ES2020", "DOM", "DOM.Iterable"], - "module": "ESNext", - "skipLibCheck": true, - - /* Bundler mode */ - "moduleResolution": "bundler", - "allowImportingTsExtensions": true, - "isolatedModules": true, - "moduleDetection": "force", - "noEmit": true, - "jsx": "react-jsx", - - /* Linting */ - "strict": false, - "noUnusedLocals": false, - "noUnusedParameters": false, - "noImplicitAny": false, - "noFallthroughCasesInSwitch": false, - - "baseUrl": ".", - "paths": { - "@/*": ["./src/*"] - } - }, - "include": ["src"] -} diff --git a/Front-End/webpr/tsconfig.json b/Front-End/webpr/tsconfig.json deleted file mode 100644 index 129b1a30f..000000000 --- a/Front-End/webpr/tsconfig.json +++ /dev/null @@ -1,19 +0,0 @@ -{ - "files": [], - "references": [ - { "path": "./tsconfig.app.json" }, - { "path": "./tsconfig.node.json" } - ], - "compilerOptions": { - "baseUrl": ".", - "paths": { - "@/*": ["./src/*"] - }, - "noImplicitAny": false, - "noUnusedParameters": false, - "skipLibCheck": true, - "allowJs": true, - "noUnusedLocals": false, - "strictNullChecks": false - } -} diff --git a/Front-End/webpr/tsconfig.node.json b/Front-End/webpr/tsconfig.node.json deleted file mode 100644 index 3133162c2..000000000 --- a/Front-End/webpr/tsconfig.node.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "compilerOptions": { - "target": "ES2022", - "lib": ["ES2023"], - "module": "ESNext", - "skipLibCheck": true, - - /* Bundler mode */ - "moduleResolution": "bundler", - "allowImportingTsExtensions": true, - "isolatedModules": true, - "moduleDetection": "force", - "noEmit": true, - - /* Linting */ - "strict": true, - "noUnusedLocals": false, - "noUnusedParameters": false, - "noFallthroughCasesInSwitch": true - }, - "include": ["vite.config.ts"] -} diff --git a/Front-End/webpr/vite.config.ts b/Front-End/webpr/vite.config.ts deleted file mode 100644 index 1343bcde0..000000000 --- a/Front-End/webpr/vite.config.ts +++ /dev/null @@ -1,34 +0,0 @@ -import { defineConfig } from "vite"; -import react from "@vitejs/plugin-react-swc"; -import path from "path"; -import { componentTagger } from "lovable-tagger"; - -// https://vitejs.dev/config/ -export default defineConfig(({ mode }) => ({ - server: { - host: "0.0.0.0", - port: 4343, - allowedHosts: ["5f063a99e43d.ngrok-free.app"], - hmr: { - protocol: 'wss', - host: '5f063a99e43d.ngrok-free.app', - }, - watch: { - ignored: ['**/node_modules/**'], - usePolling: true, - interval: 100, - }, - }, - - - plugins: [ - react(), - mode === 'development' && - componentTagger(), - ].filter(Boolean), - resolve: { - alias: { - "@": path.resolve(__dirname, "./src"), - }, - }, -})); diff --git a/ProductionFiles/docker-compose.yml b/ProductionFiles/docker-compose.yml index a4e067cc0..f580b70ad 100644 --- a/ProductionFiles/docker-compose.yml +++ b/ProductionFiles/docker-compose.yml @@ -62,7 +62,7 @@ services: softwareai_frontend: image: softwareai-frontend-server:latest build: - context: ./Front-End + context: ./Front-End/webpr dockerfile: Dockerfile container_name: softwareai_frontend working_dir: /app diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/.github/workflows/deploy.yml b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/.github/workflows/deploy.yml new file mode 100644 index 000000000..61b790b72 --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/.github/workflows/deploy.yml @@ -0,0 +1,74 @@ +name: Deploy Software AI + + +on: + pull_request: + types: [closed] + branches: + - main + + +jobs: + build-and-deploy: + if: github.event.pull_request.merged == true + runs-on: ubuntu-latest + + steps: + - name: Checkout code + uses: actions/checkout@v3 + + - name: Setup SSH + uses: webfactory/ssh-agent@v0.9.1 + with: + ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }} + + - name: Add remote host to known_hosts + run: | + mkdir -p ~/.ssh + chmod 700 ~/.ssh + ssh-keyscan -H ${{ secrets.DEPLOY_HOST }} >> ~/.ssh/known_hosts + chmod 644 ~/.ssh/known_hosts + echo "known_hosts:" + cat ~/.ssh/known_hosts + + - name: Copy entire project to VPS + run: | + rsync -avz --delete ./ ${{ secrets.DEPLOY_USER }}@${{ secrets.DEPLOY_HOST }}:/home/administrator/deploys/softwareai \ + --exclude node_modules \ + --exclude .git \ + --exclude front-end/node_modules + + - name: Make dir on VPS + run: | + ssh ${{ secrets.DEPLOY_USER }}@${{ secrets.DEPLOY_HOST }} " + mkdir -p /home/administrator/deploys/softwareai/Back-End/Keys && \ + mkdir -p /home/administrator/deploys/softwareai/Front-End + " + + - name: Create keys.env on VPS + run: | + ssh ${{ secrets.DEPLOY_USER }}@${{ secrets.DEPLOY_HOST }} " + printf '%s' '${{ secrets.BACK_END_ENV_KEYS }}' > /home/administrator/deploys/softwareai/Back-End/Keys/keys.env + " + + - name: Create .env on VPS + run: | + ssh ${{ secrets.DEPLOY_USER }}@${{ secrets.DEPLOY_HOST }} " + printf '%s' '${{ secrets.FRONT_END_ENV_KEYS }}' > /home/administrator/deploys/softwareai/Front-End/.env + " + + - name: Create COMPOSE on VPS + run: | + ssh ${{ secrets.DEPLOY_USER }}@${{ secrets.DEPLOY_HOST }} " + echo '${{ secrets.COMPOSE }}' | base64 --decode > /home/administrator/deploys/softwareai/docker-compose.yml + " + + - name: Deploy Docker Compose + run: | + ssh ${{ secrets.DEPLOY_USER }}@${{ secrets.DEPLOY_HOST }} " + cd /home/administrator/deploys/softwareai && \ + + docker rm -f softwareai_frontend softwareai_api || true && \ + docker container prune && \ + docker compose up --build -d --no-deps softwareai_frontend softwareai_api + " diff --git a/Back-End/Dockerfile b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Dockerfile similarity index 100% rename from Back-End/Dockerfile rename to backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Dockerfile diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Models/mongoDB/audit.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Models/mongoDB/audit.py new file mode 100644 index 000000000..ff11d4d2b --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Models/mongoDB/audit.py @@ -0,0 +1,34 @@ +from datetime import datetime, timedelta +from pymongo import MongoClient +from dotenv import load_dotenv +import os + +MONGO_URI = os.getenv('MONGO_URI', 'None') +MONGO_DB_NAME = os.getenv('MONGO_DB_NAME', 'controls_logs') +if MONGO_URI == 'None': + load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), '../', '../', 'Keys', 'keys.env')) + MONGO_URI = os.getenv('MONGO_URI', 'mongodb://localhost:27017/') + + +mongo_client = MongoClient(MONGO_URI) +mongo_db = mongo_client[MONGO_DB_NAME] +logs_collection = mongo_db.logs + +class AuditTrail: + collection = mongo_db['audit_trail'] + + @classmethod + def create(cls, entity, action, user, metadata=None): + entry = { + "entity": entity, + "action": action, + "user": user, + "metadata": metadata or {}, + "timestamp": datetime.utcnow() + } + result = cls.collection.insert_one(entry) + return str(result.inserted_id) + + @classmethod + def find_by_entity(cls, entity): + return list(cls.collection.find({"entity": entity}).sort("timestamp", -1)) \ No newline at end of file diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Models/mongoDB/logs.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Models/mongoDB/logs.py new file mode 100644 index 000000000..e8f28e763 --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Models/mongoDB/logs.py @@ -0,0 +1,39 @@ +from datetime import datetime, timedelta +from pymongo import MongoClient +from dotenv import load_dotenv +import os + +MONGO_URI = os.getenv('MONGO_URI', 'None') +MONGO_DB_NAME = os.getenv('MONGO_DB_NAME', 'controls_logs') +if MONGO_URI == 'None': + load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), '../', '../', 'Keys', 'keys.env')) + MONGO_URI = os.getenv('MONGO_URI', 'mongodb://localhost:27017/') + + +mongo_client = MongoClient(MONGO_URI) +mongo_db = mongo_client[MONGO_DB_NAME] +logs_collection = mongo_db.logs + +class Log: + collection = mongo_db['logs'] + + @classmethod + def create(cls, action, details, user, level="INFO"): + log_entry = { + "timestamp": datetime.utcnow(), + "action": action, + "details": details, + "user": user, + "level": level + } + result = cls.collection.insert_one(log_entry) + return str(result.inserted_id) + + @classmethod + def find_all(cls, limit=50): + return list(cls.collection.find().sort("timestamp", -1).limit(limit)) + + @classmethod + def find_by_user(cls, user): + return list(cls.collection.find({"user": user}).sort("timestamp", -1)) + diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Models/postgreSQL/user.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Models/postgreSQL/user.py new file mode 100644 index 000000000..db1cb2ee0 --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Models/postgreSQL/user.py @@ -0,0 +1,39 @@ +# user.py +from flask_sqlalchemy import SQLAlchemy +import bcrypt +from datetime import datetime, timedelta +import secrets +import json +from sqlalchemy import Numeric + +TOKEN_DEFAULT_EXPIRES_DAYS = 30 + +db = SQLAlchemy() + +class User(db.Model): + __tablename__ = 'users' + + id = db.Column(db.Integer, primary_key=True) + user_id = db.Column(db.Integer, db.ForeignKey('users.id'), nullable=True) + email = db.Column(db.String(120), unique=True, nullable=False) + username = db.Column(db.String(80), unique=True, nullable=True) + password_hash = db.Column(db.String(128), nullable=False) + acess_token = db.Column(db.String(255), nullable=True) + created_at = db.Column(db.DateTime, default=datetime.utcnow) + expires_at = db.Column(db.DateTime, nullable=True) + revoked_at = db.Column(db.DateTime, nullable=True) + + def set_password(self, password): + self.password_hash = bcrypt.hashpw(password.encode('utf-8'), bcrypt.gensalt()).decode('utf-8') + + def check_password(self, password): + return bcrypt.checkpw(password.encode('utf-8'), self.password_hash.encode('utf-8')) + + def create_access_token_for_user(self, expires_days: int = TOKEN_DEFAULT_EXPIRES_DAYS): + token = secrets.token_urlsafe(32) + self.acess_token = token + if expires_days: + self.expires_at = datetime.utcnow() + timedelta(days=int(expires_days)) + self.revoked_at = None + return token + \ No newline at end of file diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Config/setup.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Config/setup.py new file mode 100644 index 000000000..3b221006c --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Config/setup.py @@ -0,0 +1,42 @@ +import logging +import os +from dotenv import load_dotenv + +class Settings: + def __init__(self): + self.ENV = __import__('os').environ.get('FLASK_ENV', 'development') + self.SQLALCHEMY_DATABASE_URI = __import__('os').environ.get('DATABASE_URL', 'postgresql://postgres:postgres@meu_postgres2:5432/meubanco') + self.MONGO_URI = __import__('os').environ.get('MONGO_URI', 'mongodb://root:rootpassword@mongodb:27017/controls_logs?authSource=admin') + self.CELERY_BROKER_URL = __import__('os').environ.get('CELERY_BROKER_URL', 'redis://localhost:6379/0') + self.CELERY_RESULT_BACKEND = __import__('os').environ.get('CELERY_RESULT_BACKEND', 'redis://localhost:6379/0') + self.JWT_SECRET = __import__('os').environ.get('JWT_SECRET', 'supersecret') + self.SECRET_KEY = __import__('os').environ.get('SECRET_KEY', 'your-secret-key-here') + + diretorio_script = os.path.dirname(os.path.abspath(__file__)) + logger = logging.getLogger(__name__) + logger.setLevel(logging.INFO) + formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s') + os.makedirs(os.path.join(diretorio_script, '../', '../', 'Logs'), exist_ok=True) + file_handler = logging.FileHandler(os.path.join(diretorio_script, '../', '../', 'Logs', 'api.log')) + file_handler.setFormatter(formatter) + console_handler = logging.StreamHandler() + console_handler.setFormatter(formatter) + logger.addHandler(file_handler) + logger.addHandler(console_handler) + self.logger = logger + + load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), '../', '../', "Keys", 'keys.env')) + + + self.INVOICES_DIR = os.path.join(os.path.dirname(__file__), '../', '../', 'Invoices') + os.makedirs(self.INVOICES_DIR, exist_ok=True) + + + self.SMTP_HOST = os.getenv('SMTP_HOST') + self.SMTP_PORT = int(os.getenv('SMTP_PORT', 587)) + self.SMTP_USER = os.getenv('SMTP_USER') + self.SMTP_PASSWORD = os.getenv('SMTP_PASSWORD') + self.use_tls = os.getenv('SMTP_USE_TLS', 'true').lower() == 'true' + + self.STRIPE_SECRET_KEY = os.getenv("STRIPE_SECRET_KEY") + \ No newline at end of file diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Geters/logs.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Geters/logs.py new file mode 100644 index 000000000..cb8536fe3 --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Geters/logs.py @@ -0,0 +1,91 @@ +# Back-End\Modules\Geters\logs.py + +from Models.mongoDB.logs import logs_collection, mongo_db +from datetime import datetime, timedelta + +def get_recent_logs(user_id=None, limit=10): + """ + Retorna os logs mais recentes. Se user_id fornecido, filtra por user_id ou user. + Cada log terá 'timestamp' como ISO string. + """ + query = {} + if user_id is not None: + query = {"$or": [{"user_id": user_id}, {"user": user_id}]} + + raw = list(logs_collection.find(query).sort("timestamp", -1).limit(limit)) + adapted = [] + for log in raw: + ts = log.get("timestamp") + try: + ts_iso = ts.isoformat() if hasattr(ts, "isoformat") else str(ts) + except Exception: + ts_iso = str(ts) + adapted.append({ + "_id": str(log.get("_id")), + "timestamp": ts_iso, + "level": log.get("level"), + "action": log.get("action"), + "details": log.get("details", {}), + "prNumber": log.get("prNumber") or (log.get("details") or {}).get("pr_number") or (log.get("details") or {}).get("prNumber"), + "user": log.get("user"), + "user_id": log.get("user_id") + }) + return adapted + +def get_logs_by_user(user, limit=50): + """ + Recupera logs por usuário. + """ + return list( + logs_collection.find({"user": user}) + .sort("timestamp", -1) + .limit(limit) + ) + +def get_audit_trail(entity=None, limit=50): + """ + Recupera auditorias do MongoDB. + """ + audit_collection = mongo_db['audit_trail'] + query = {} + if entity: + query["entity"] = entity + + return list( + audit_collection.find(query) + .sort("timestamp", -1) + .limit(limit) + ) + +def get_system_health_recent(limit=50): + """ + Recupera registros recentes de health_check. + """ + system_health_collection = mongo_db['system_health'] + return list( + system_health_collection.find({}) + .sort("timestamp", -1) + .limit(limit) + ) + +def get_system_health_by_user(user_id, limit=50): + """ + Recupera registros de health_check filtrados por usuário. + """ + system_health_collection = mongo_db['system_health'] + return list( + system_health_collection.find({"user_id": user_id}) + .sort("timestamp", -1) + .limit(limit) + ) + +def get_system_health_by_status(status, limit=50): + """ + Recupera registros de health_check filtrados por status (ok, warning, error). + """ + system_health_collection = mongo_db['system_health'] + return list( + system_health_collection.find({"status": status}) + .sort("timestamp", -1) + .limit(limit) + ) \ No newline at end of file diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Geters/user_by_access_token.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Geters/user_by_access_token.py new file mode 100644 index 000000000..f5afead12 --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Geters/user_by_access_token.py @@ -0,0 +1,8 @@ + +from Models.postgreSQL.user import db, User +from datetime import datetime, timedelta + +def get_user_by_access_token(token_str): + if not token_str: + return None + return User.query.filter_by(acess_token=token_str).first() diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Geters/user_by_email.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Geters/user_by_email.py new file mode 100644 index 000000000..eae68e25e --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Geters/user_by_email.py @@ -0,0 +1,8 @@ + +from Models.postgreSQL.user import db, User +from datetime import datetime, timedelta + +def get_user_by_email(email): + if not email: + return None + return User.query.filter_by(email=email).first() diff --git a/Back-End/Modules/Resolvers/generate_invoice_pdf.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Resolvers/generate_invoice_pdf.py similarity index 100% rename from Back-End/Modules/Resolvers/generate_invoice_pdf.py rename to backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Resolvers/generate_invoice_pdf.py diff --git a/Back-End/Modules/Resolvers/send_email.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Resolvers/send_email.py similarity index 100% rename from Back-End/Modules/Resolvers/send_email.py rename to backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Resolvers/send_email.py diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Resolvers/user_identifier.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Resolvers/user_identifier.py new file mode 100644 index 000000000..e32ebb558 --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Resolvers/user_identifier.py @@ -0,0 +1,112 @@ +# Back-End\Modules\Resolvers\user_identifier.py +from datetime import datetime, timedelta +from functools import wraps +from flask import g, Flask, Response, request, jsonify +import logging +from Modules.Savers.log_action import log_action +from Modules.Geters.user_by_access_token import get_user_by_access_token +from Models.mongoDB.logs import ( + Log, + logs_collection, + mongo_client, + mongo_db, + ) +from Models.postgreSQL.user import db, User + +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s [%(levelname)s] %(message)s", + handlers=[ + logging.StreamHandler() + ] +) +logger = logging.getLogger(__name__) + +def auth_user(logs_collection, app, email='', password=''): + with app.app_context(): + header_token = request.headers.get('X-API-TOKEN') + + user = None + if header_token: + try: + user = get_user_by_access_token(header_token) + if user: + logger.info(f"auth_user login sucess") + return user, user.id, "success" + else: + logger.info(f"auth_user invalid token") + + user = resolve_user_identifier(email) + # evita usar user.id quando user é None (corrige crash no log) + if not user or not user.check_password(password): + log_action(logs_collection, 'login_failed', {'message': 'login_failed in if not user or not user.check_password(password):'}, level='warning', user=(user.id if user else None)) + return None, None, "invalid" + else: + logger.info(f"auth_user login sucess") + return user, user.id, "success" + + except Exception as e: + logger.info(f"auth_user_error {e}") + log_action( + logs_collection, + 'auth_user_error', + {'message': str(e)}, + level='warning' + ) + return None, None, "invalid" + + if not user: + return None, None, "invalid" + + return user, user.id, "success" + +def resolve_user_identifier(identifier): + """ + Aceita: + - None -> retorna None + - número (string ou int) -> busca por id + - string com @ -> busca por email + - string sem @ -> tenta converter para int, senão retorna None + Retorna User instance ou None. + """ + if not identifier: + return None + + try: + uid = int(identifier) + return User.query.get(uid) + except (ValueError, TypeError): + pass + + if isinstance(identifier, str) and "@" in identifier: + return User.query.filter_by(email=identifier).first() + + return User.query.filter_by(email=str(identifier).strip()).first() + +def is_token_revoked_or_expired(user: User): + if not user: + log_action(logs_collection, 'is_token_revoked_or_expired', {'message': "Usuário não encontrado"}, user=None) + + return True, "Usuário não encontrado" + if user.revoked_at is not None: + log_action(logs_collection, 'is_token_revoked_or_expired', {'username': user.email, 'message': "Token revogado"}, user=user.id) + + return True, "Token revogado" + if user.expires_at is not None: + try: + if datetime.utcnow() > user.expires_at: + log_action(logs_collection, 'is_token_revoked_or_expired', {'username': user.email, 'message': "Token expirado"}, user=user.id) + + return True, "Token expirado" + except Exception as err_unkwnow: + log_action(logs_collection, 'is_token_revoked_or_expired', {'username': user.email, 'message': f"err_unkwnow {err_unkwnow}"}, user=user.id) + + if not user.acess_token: + log_action(logs_collection, 'is_token_revoked_or_expired', {'username': user.email, 'message': "Usuário sem access token"}, user=user.id) + + return True, "Usuário sem access token" + return False, None + +def check_user_quota(user: User, required_tokens: int): + remaining = (user.limit_monthly_tokens or 0) - (user.tokens_used or 0) + return remaining >= required_tokens, remaining \ No newline at end of file diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Routes/auth.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Routes/auth.py new file mode 100644 index 000000000..435098431 --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Routes/auth.py @@ -0,0 +1,74 @@ +from flask import Blueprint, request, jsonify +from Models.postgreSQL.user import User, TOKEN_DEFAULT_EXPIRES_DAYS +from Modules.Savers.log_action import log_action +from Models.mongoDB.logs import ( + Log, + logs_collection, + mongo_client, + mongo_db, + ) +from Modules.Resolvers.user_identifier import auth_user + + +from api import db, app + +auth_bp = Blueprint('auth', __name__) + +@auth_bp.route('/register', methods=['POST']) +def register(): + """ + Registro simples: cria usuário, seta senha e cria acess_token, persiste. + """ + data = request.get_json() or {} + email = data.get("email") + password = data.get("password") + expires_days = data.get("expires_days", None) # opcional + + if not email or not password: + return jsonify({"error": "Email e senha são obrigatórios"}), 400 + if User.query.filter_by(email=email).first(): + return jsonify({"error": "Usuário já existe"}), 400 + try: + new_user = User(email=email) + new_user.set_password(password) + acess_token = new_user.create_access_token_for_user(expires_days if expires_days is not None else TOKEN_DEFAULT_EXPIRES_DAYS) + db.session.add(new_user) + db.session.commit() + log_action(logs_collection, 'user_registered', {'message': "Usuário criado com sucesso", 'username': email}) + + return jsonify({ + "message": "Usuário criado com sucesso", + "acess_token": acess_token, + "user_id": new_user.id, + "expires_at": new_user.expires_at.isoformat() if new_user.expires_at else None + }), 201 + except Exception as e: + db.session.rollback() + log_action(logs_collection, 'register_error', {'username': email, 'message': str(e)}, level='error') + return jsonify({'error': 'Failed to register user', 'detail': str(e)}), 500 + +@auth_bp.route('/login', methods=['GET']) +def login(): + try: + email = request.args.get('email') + password = request.args.get('password') + user, access_token_to_return, status = auth_user(logs_collection, app, email, password) + + if status == "invalid" or not user: + return jsonify({"error": "Credenciais inválidas"}), 401 + + log_action(logs_collection, 'login_success', {'message': f"Bem-vindo, {user.email}!"}, user=user.id) + return jsonify({ + "message": f"Bem-vindo, {user.email}!", + "acess_token": user.acess_token, + "user_id": user.id, + "plan_name": user.plan_name, + "limit_monthly_tokens": user.limit_monthly_tokens, + "tokens_used": user.tokens_used, + "expires_at": user.expires_at.isoformat() if user.expires_at else None + }), 200 + + except Exception as error_login: + db.session.rollback() + log_action(logs_collection, f'login_error {error_login}', {'message': 'Erro no login'}, level='error') + return jsonify({"error": "Erro no login"}), 500 diff --git a/Back-End/Modules/Savers/log_action.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Savers/log_action.py similarity index 100% rename from Back-End/Modules/Savers/log_action.py rename to backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Savers/log_action.py diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Savers/log_audit.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Savers/log_audit.py new file mode 100644 index 000000000..52c6246ec --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Savers/log_audit.py @@ -0,0 +1,21 @@ +# Back-End\Modules\Savers\log_audit.py + +from datetime import datetime, timedelta +from Models.mongoDB.audit import mongo_db + +audit_collection = mongo_db['audit_trail'] + +def log_audit(entity, action, user=None, metadata=None): + """ + Registra uma auditoria no MongoDB (coleção audit_trail). + """ + entry = { + "entity": entity, + "action": action, + "user": user, + "metadata": metadata or {}, + "timestamp": datetime.utcnow() + } + result = audit_collection.insert_one(entry) + return str(result.inserted_id) + diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Savers/log_system_health.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Savers/log_system_health.py new file mode 100644 index 000000000..bb835e174 --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/Modules/Savers/log_system_health.py @@ -0,0 +1,23 @@ +# Back-End\Modules\Savers\log_system_health.py +from datetime import datetime, timedelta +from Models.mongoDB.logs import mongo_db + +system_health_collection = mongo_db['system_health'] + +def log_system_health(user_id, health_status: dict): + """ + Registra status de saúde do sistema no MongoDB (coleção system_health). + """ + entry = { + "user_id": user_id, + "timestamp": datetime.utcnow(), + "postgres_status": health_status.get("postgres_connected", False), + "mongodb_status": health_status.get("mongodb_connected", False), + "github_status": health_status.get("github_api_reachable", False), + "openai_status": health_status.get("openai_api_reachable", False), + "status": health_status.get("status", "unknown"), + "message": health_status.get("message", ""), + "details": health_status + } + result = system_health_collection.insert_one(entry) + return str(result.inserted_id) diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/api.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/api.py new file mode 100644 index 000000000..f19da81c6 --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/api.py @@ -0,0 +1,64 @@ +# app.py +import os +import threading +import requests +import json +import stripe +import asyncio +from decimal import Decimal +from bson.json_util import dumps +from datetime import datetime, timedelta, timezone +import hmac +import hashlib +from flask import g, Flask, Response, request, jsonify, send_file, abort, redirect +from flask_cors import CORS +from asgiref.wsgi import WsgiToAsgi +from flask_limiter import Limiter +from flask_limiter.util import get_remote_address + + +from Models.postgreSQL.user import db +from Modules.Config.setup import Settings +from Modules.Routes.auth import auth_bp + +app = Flask(__name__) +asgi_app = WsgiToAsgi(app) +settings = Settings() + +app.config['SQLALCHEMY_DATABASE_URI'] = settings.SQLALCHEMY_DATABASE_URI +app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False +app.config['JWT_SECRET'] = settings.JWT_SECRET +app.config['MONGO_URI'] = settings.MONGO_URI +app.config['SECRET_KEY'] = settings.SECRET_KEY + +INVOICES_DIR = settings.INVOICES_DIR +SMTP_HOST = settings.SMTP_HOST +SMTP_PORT = settings.SMTP_PORT +SMTP_USER = settings.SMTP_USER +SMTP_PASSWORD = settings.SMTP_PASSWORD +use_tls = settings.use_tls +stripe.api_key = settings.STRIPE_SECRET_KEY + +if os.getenv("FLASK_ENV") == "development": + CORS(app, origins=os.getenv("FRONTEND_ORIGINS", "*").split(","), supports_credentials=True) + +limiter = Limiter( + get_remote_address, + app=app, + default_limits=[] +) + +db.init_app(app) + +@app.route('/') +def index(): + return jsonify({ + "message": "Backend Flask - API Principal", + "version": "1.0", + "database": "PostgreSQL + MongoDB", + "status": "running" + }) + + +app.register_blueprint(auth_bp, url_prefix='/auth') + diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/requirements.txt b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Back-End/requirements.txt new file mode 100644 index 000000000..e69de29bb diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Readme.md b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Readme.md new file mode 100644 index 000000000..6385bac87 --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/Readme.md @@ -0,0 +1,8 @@ +### 🧠 Diretrizes de tecnologia: +**Banco de dados:** PostgreSQL para dados, MongoDB Para logs +**Back End:** Flask + blueprint para api +**Front End:** Vite + React +**Filas e Agendamentos:** Celery + Redis +**Autenticação/Autorização:** Funcao propria do sistema que verifica se o usuario esta registrado no sistema, nao há necessidade de jwt +**Pagamentos:** Stripe (planos, subscriptions, webhooks) +**Observabilidade:** logs MongoDB centralizados, deploy com CI/CD via Git Actions diff --git a/build.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/build.py similarity index 100% rename from build.py rename to backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/build.py diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/docker-compose.yml b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/docker-compose.yml new file mode 100644 index 000000000..efcb512a3 --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Architectures/Stack1/docker-compose.yml @@ -0,0 +1,124 @@ + +version: '3.8' +services: + + meu_postgres2: + image: postgres:15 + container_name: meu_postgres2 + restart: always + environment: + POSTGRES_USER: postgres + POSTGRES_PASSWORD: postgres + POSTGRES_DB: meubanco + ports: + - "5932:5432" + networks: + - rede_externa + volumes: + - postgres_data:/var/lib/postgresql/data + mem_limit: 1g + cpus: "0.8" + + mongodb: + image: mongo:7 + environment: + MONGO_INITDB_ROOT_USERNAME: root + MONGO_INITDB_ROOT_PASSWORD: rootpassword + MONGO_INITDB_DATABASE: controls_logs + ports: + - "21017:21017" + restart: always + volumes: + - mongodb_data:/data/db + - ./mongo-init.js:/docker-entrypoint-initdb.d/mongo-init.js:ro + healthcheck: + test: ["CMD", "mongosh", "--eval", "db.adminCommand('ping')"] + interval: 30s + timeout: 10s + retries: 3 + networks: + - rede_externa + mem_limit: 1g + cpus: "0.8" + + redis: + image: redis:7-alpine + ports: + - "6189:6379" + command: redis-server --appendonly yes + restart: always + volumes: + - redis_data:/data + healthcheck: + test: ["CMD", "redis-cli", "ping"] + interval: 30s + timeout: 10s + retries: 3 + networks: + - rede_externa + mem_limit: 100MB + cpus: "0.3" + + nomedoapp_frontend: + image: nomedoapp-frontend-server:latest + build: + context: ./Front-End + dockerfile: Dockerfile + container_name: nomedoapp_frontend + working_dir: /app + environment: + - CHOKIDAR_USEPOLLING=true + - CHOKIDAR_INTERVAL=100 + ports: + - "4494:4494" + restart: always + command: > + sh -c "npm ci && npm run build && npx serve -s dist -l 4494" + + healthcheck: + test: ["CMD", "curl", "-f", "http://127.0.0.1:4494"] + interval: 129s + timeout: 2s + retries: 5 + mem_limit: 850MB + cpus: "0.8" + + nomedoapp_api: + image: nomedoapp-api-server:latest + build: + context: ./Back-End + dockerfile: Dockerfile + container_name: nomedoapp_api + working_dir: /app + privileged: true + volumes: + - /var/run/docker.sock:/var/run/docker.sock + restart: always + ports: + - "4941:4941" + command: > + sh -c "uvicorn api:asgi_app --host 0.0.0.0 --port 4941" + environment: + - FLASK_ENV=development + - DATABASE_URL=postgresql://postgres:postgres@meu_postgres2:5432/meubanco + - MONGO_URI=mongodb://root:rootpassword@mongodb:27017/controls_logs?authSource=admin + - REDIS_URL=redis://redis:6189/0 + depends_on: + - meu_postgres2 + - mongodb + - redis + mem_limit: 850MB + cpus: "0.80" + networks: + - rede_externa + +networks: + rede_externa: + external: true + +volumes: + postgres_data: + mongodb_data: + logger_data: + redis_data: + npm-modules: \ No newline at end of file diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Docs/folder_convetions.md b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Docs/folder_convetions.md new file mode 100644 index 000000000..246f49c28 --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/Docs/folder_convetions.md @@ -0,0 +1,83 @@ +``` +nomedoprojeto\ +├── Readme.md +├── docker-compose.yml +└── .github\ + └── workflows\ + ├── deploy.yml +└── Front-End\ + └── vite.config.ts + └── tsconfig.node.json + └── tsconfig.json + └── tsconfig.app.json + └── tailwind.config.ts + └── postcss.config.js + └── package.json + └── Dockerfile + └── package-lock.json + └── index.html + └── eslint.config.js + └── components.json + └── .env + └── public\ + └── src\ + └── components\ + ├── ... + └── constants\ + ├── ... + └── contexts\ + ├── ... + └── hooks\ + ├── ... + └── lib\ + ├── ... + └── pages\ + ├── Login.tsx + ├── ... + └── App.css + └── App.tsx + └── index.css + └── main.tsx + └── vite-env.d.ts + +└── Back-End\ + ├── requirements.txt + ├── Dockerfile + ├── api.py + └── Keys\ + ├── keys.env + └── Models\ + └── mongoDB\ + ├── audit.py + ├── logs.py + └── postgreSQL\ + ├── user.py + ├── ... + └── Modules\ + └── Config\ + ├── setup.py + ├── ... + └── Geters\ + ├── logs.py + ├── user_by_access_token.py + ├── user_by_email.py + ├── ... + └── Helpers\ + ├── ... + └── Resolvers\ + ├── generate_invoice_pdf.py + ├── send_email.py + ├── user_identifier.py + ├── ... + └── Routes\ + ├── auth.py + ├── ... + └── Savers\ + ├── log_action.py + ├── log_audit.py + ├── log_system_health.py + ├── ... + └── Updaters\ + ├── ... + +``` diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/_Test_embedings.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/_Test_embedings.py new file mode 100644 index 000000000..c4ff8932c --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/_Test_embedings.py @@ -0,0 +1,101 @@ +# requirements: openai, openai-agents, chromadb, tiktoken (opcional) +# pip install openai openai-agents chromadb + +import os +from agents import Agent, Runner, function_tool, SQLiteSession +import openai +import chromadb +from chromadb.config import Settings +from dotenv import load_dotenv +from openai import OpenAI + + +os.chdir(os.path.join(os.path.dirname(__file__))) +load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), '../', '../', '../', '../', 'Keys', 'keys.env')) + +OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY") +openai.api_key = OPENAI_API_KEY +client = OpenAI(api_key=OPENAI_API_KEY) + +# ---------- 1) Indexador simples: chunk + embeddings -> Chroma ---------- +def chunk_text(text, max_chars=1000): + # simples: quebrar por parágrafos ou janelas deslizantes + paragraphs = [p.strip() for p in text.split("\n\n") if p.strip()] + chunks = [] + cur = "" + for p in paragraphs: + if len(cur) + len(p) + 1 > max_chars: + if cur: + chunks.append(cur) + cur = p + else: + cur = (cur + "\n\n" + p).strip() if cur else p + if cur: chunks.append(cur) + return chunks + + + +def embed_texts(texts): + response = client.embeddings.create( + model="text-embedding-3-small", + input=texts + ) + return [item.embedding for item in response.data] + +def build_or_update_index(doc_id, full_text, chroma_dir="./chroma_store"): + # novo cliente persistente (substitui chromadb.Client(Settings(...))) + client = chromadb.PersistentClient(path=chroma_dir) + + collection = client.get_or_create_collection(name="backend_skeleton") + + # divide e embeda + chunks = chunk_text(full_text, max_chars=800) + embeddings = embed_texts(chunks) + ids = [f"{doc_id}__{i}" for i in range(len(chunks))] + metadatas = [{"doc_id": doc_id, "chunk_index": i} for i in range(len(chunks))] + + collection.add( + documents=chunks, + embeddings=embeddings, + ids=ids, + metadatas=metadatas + ) + print(f"Indexed {len(chunks)} chunks from {doc_id}") +# ---------- 2) Tool retriever: função registrada no SDK ---------- +@function_tool +def retrieve_backend_context(query: str, k: int = 4) -> str: + client_chroma = chromadb.PersistentClient(path="./chroma_store") + collection = client_chroma.get_collection("backend_skeleton") + + q_emb = client.embeddings.create( + model="text-embedding-3-small", + input=[query] + ).data[0].embedding + + results = collection.query( + query_embeddings=[q_emb], + n_results=k, + include=["documents", "metadatas"] + ) + + docs = results["documents"][0] + joined = "\n\n---\n\n".join(docs) + return f"Contexto recuperado (top {k}):\n\n{joined}" + +# # ---------- 3) Agente + sessão + runner ---------- +# agent = Agent( +# name="BackendExpert", +# instructions="Você é um especialista backend. Use as ferramentas quando precisar recuperar regras/estrutura do projeto.", +# tools=[retrieve_backend_context] +# ) + +# # usar SQLiteSession (memória persistente entre turns) +# session = SQLiteSession("agent_session_backend_01", db_path="embeddings.db") + +# # entrada do usuário +# user_input = "Como eu crio o endpoint de login seguindo a stack padrão do projeto?" + +# # rodar (Runner vai permitir tool calls automaticamente) +# result = Runner.run_sync(agent, user_input, session=session, max_turns=6) + +# print("Resposta final do agente:\n", result.final_output) diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/_Test_index_skeleton.py b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/_Test_index_skeleton.py new file mode 100644 index 000000000..c3a90506c --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/_Test_index_skeleton.py @@ -0,0 +1,98 @@ +""" +Script: index_skeleton.py +Função: Indexar automaticamente todos os arquivos do esqueleto backend (core/, services/, routes/, etc) +para o vetor store Chroma (./chroma_store). + +Requisitos: + pip install openai openai-agents chromadb +Execução: + python index_skeleton.py +""" + +import os +import sys +import openai +import chromadb +from chromadb.config import Settings +from pathlib import Path + +# Importa a função que você já tem +from _Test_embedings import build_or_update_index # ajuste o caminho se necessário +from dotenv import load_dotenv + +os.chdir(os.path.join(os.path.dirname(__file__))) +load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), '../', '../', '../', '../', 'Keys', 'keys.env')) + +# ---------- CONFIGURAÇÕES ---------- +OPENAI_API_KEY = os.getenv("OPENAI_API_KEY") +if not OPENAI_API_KEY: + print("❌ ERRO: variável OPENAI_API_KEY não definida.") + sys.exit(1) + +openai.api_key = OPENAI_API_KEY + +# diretórios padrão do seu backend +TARGET_DIRS = ["Architectures/Stack1", 'Docs'] + +# extensões de código relevantes +ALLOWED_EXTS = [".py", ".json", ".yml", ".yaml", ".toml", ".md"] + +# tamanho máximo por arquivo em bytes (para evitar binários ou logs enormes) +MAX_FILE_SIZE = 200_000 # ~200 KB + +# diretório base +BASE_DIR = Path(__file__).resolve().parent + + +# ---------- FUNÇÃO PRINCIPAL ---------- +def collect_files(base_dir: Path): + """Percorre os diretórios alvo e retorna lista de arquivos válidos""" + all_files = [] + for folder in TARGET_DIRS: + path = base_dir / folder + if not path.exists(): + print(f"⚠️ Diretório {folder}/ não encontrado, ignorando...") + continue + + for root, _, files in os.walk(path): + for f in files: + full_path = Path(root) / f + if full_path.suffix.lower() not in ALLOWED_EXTS: + continue + if full_path.stat().st_size > MAX_FILE_SIZE: + print(f"⚠️ Ignorando arquivo muito grande: {full_path.name}") + continue + if "__pycache__" in full_path.parts or f.startswith("."): + continue + all_files.append(full_path) + return all_files + + +def index_repository(): + """Percorre todos os arquivos e adiciona ao índice""" + files = collect_files(BASE_DIR) + if not files: + print("❌ Nenhum arquivo encontrado para indexar.") + return + + total_chunks = 0 + print(f"📂 Encontrados {len(files)} arquivos para indexar...") + + for file_path in files: + try: + with open(file_path, "r", encoding="utf-8") as f: + content = f.read().strip() + if not content: + continue + doc_id = str(file_path.relative_to(BASE_DIR)) + build_or_update_index(doc_id, content) + print(f"✅ Indexado: {doc_id}") + except Exception as e: + print(f"⚠️ Falha ao processar {file_path}: {e}") + + print("✅ Indexação concluída com sucesso!") + print(f"🧠 Dados salvos no diretório: ./chroma_store") + + +if __name__ == "__main__": + index_repository() diff --git a/backend/Agents/AppAI/CodeBackend/CodeKnowledge/chroma_store/2ed8a0d6-aedd-45cd-9366-a8c73d87e45d/data_level0.bin b/backend/Agents/AppAI/CodeBackend/CodeKnowledge/chroma_store/2ed8a0d6-aedd-45cd-9366-a8c73d87e45d/data_level0.bin new file mode 100644 index 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zW*=QGz>ZMQY7-zS?qk;fla$DlUH`9Cs^+RR58A7Cb8%(4*;=tGt+qK%qi3n_{{!i} B*E#?I literal 0 HcmV?d00001 diff --git a/backend/Agents/AppAI/CodeBackend/ai.py b/backend/Agents/AppAI/CodeBackend/ai.py new file mode 100644 index 000000000..b3568862d --- /dev/null +++ b/backend/Agents/AppAI/CodeBackend/ai.py @@ -0,0 +1,238 @@ +# Back-End\Agents\GitContextLayer\ai.py +from agents import Agent, Runner, ModelSettings +import logging +import os +from pydantic import BaseModel +from typing import List + +import os +from agents import Agent, Runner, function_tool, SQLiteSession +import openai +import chromadb +from chromadb.config import Settings +from dotenv import load_dotenv +from openai import OpenAI + + +from Functions.autosave.autosave import autosave +from Functions.autolistlocalproject.autolistlocalproject import autolistlocalproject +from Functions.retrieve_backend_context.retrieve_backend_context import retrieve_backend_context + + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger("SprintsPlanner_logger") + +class CodeBackEndAgentOutput(BaseModel): + saved_files: List[str] + + +async def CodeBackEndAgent( + OPENAI_API_KEY, + user_id, + tipo_app, + descricao, + user_content, + commit_language = 'pt', + model = "gpt-5-nano", + local_to_save = "./", + + ): + os.environ['OPENAI_API_KEY'] = OPENAI_API_KEY + os.makedirs(os.path.join(os.path.dirname(__file__), 'Sessions'), exist_ok=True) + logger.info(f"CodeBackEndAgent Agent") + name_chroma_store = "backend_skeleton" + chroma_store = os.path.join(os.path.dirname(__file__), 'CodeKnowledge', 'chroma_store') + + total_usage = { + "input": 0, "cached": 0, "reasoning": 0, "output": 0, "total": 0 + } + logger.info(f"language {commit_language}") + + if commit_language == 'en': + prompt_system_direct = f""" + + """ + + elif commit_language == 'pt': + prompt_system_direct = f""" +# IDENTIDADE E CONTEXTO +Você é um desenvolvedor backend sênior especializado em Python/Flask, responsável por implementar tarefas de backend de forma autônoma e eficiente. + +## INFORMAÇÕES DO PROJETO +- **Tipo**: {tipo_app} +- **Descrição**: {descricao} +- **Diretório Base**: {local_to_save} +- **Stack Tecnológica**: Flask (blueprints), SQLAlchemy (PostgreSQL), MongoDB (logs), Celery+Redis, Pydantic Settings + +--- + +# FLUXO DE TRABALHO OBRIGATÓRIO + +## 1️⃣ ANÁLISE INICIAL (SEMPRE EXECUTAR PRIMEIRO) +Antes de qualquer implementação, você DEVE: + +### A) Listar Estado Atual do Projeto + +{{ + "autolistlocalproject": {{ + "path_project": "{local_to_save}" + }} +}} +Objetivo: Mapear arquivos existentes, estrutura de diretórios e evitar conflitos. +B) Consultar Base de Conhecimento +json{{ + "retrieve_backend_context": {{ + "query": "[descreva claramente o que precisa: ex: 'padrões de autenticação JWT', 'estrutura de models SQLAlchemy']", + "k": 8, + "path": "{chroma_store}", + "name": "{name_chroma_store}" + }} +}} +Quando usar: + +Antes de criar novos endpoints +Ao definir schemas de banco de dados +Para decisões arquiteturais (autenticação, validação, etc.) + + +2️⃣ DESENVOLVIMENTO E SALVAMENTO +Regras de Implementação +✅ SEMPRE: + +Use nomenclatura clara e descritiva (snake_case para arquivos/funções) +Implemente tratamento de erros com logging adequado +Adicione docstrings em todas as funções/classes +Siga padrões RESTful para APIs +Use type hints (Python 3.10+) +Valide inputs com Pydantic models + +❌ NUNCA: + +Hardcode credenciais ou secrets +Crie arquivos fora de {local_to_save} +Sobrescreva arquivos sem verificar o conteúdo atual via autolistlocalproject + +Estrutura de Diretórios Padrão +{local_to_save}/ +├── app/ +│ ├── __init__.py +│ ├── models/ # SQLAlchemy models +│ ├── routes/ # Flask blueprints +│ ├── schemas/ # Pydantic schemas +│ ├── services/ # Business logic +│ └── utils/ # Helpers +├── tasks/ # Celery tasks +├── config/ # Settings (BaseSettings) +├── tests/ # Testes unitários +└── manifest.json # Metadata do projeto +Salvamento de Arquivos +Para cada arquivo implementado: +json{{ + "autosave": {{ + "code": "# Conteúdo completo do arquivo aqui\n# Inclua imports, docstrings, type hints\n\nfrom flask import Blueprint\n\nauth_bp = Blueprint('auth', __name__)\n\n@auth_bp.route('/login', methods=['POST'])\ndef login():\n \"\"\"Endpoint de autenticação.\"\"\"\n pass", + "path": "{local_to_save}/app/routes/auth.py" + }} +}} + +3️⃣ ATUALIZAÇÃO DO MANIFEST +Após salvar arquivos, atualize {local_to_save}/manifest.json: +json{{ + "autosave": {{ + "code": "{{\n \"project_name\": \"{tipo_app}\",\n \"last_update\": \"2025-10-07T10:30:00Z\",\n \"files\": [\n {{\n \"path\": \"app/routes/auth.py\",\n \"size_bytes\": 1024,\n \"created_at\": \"2025-10-07T10:30:00Z\"\n }}\n ]\n}}", + "path": "{local_to_save}/manifest.json" + }} +}} + +FORMATO DE RESPOSTA FINAL +Após concluir todas as etapas, retorne SOMENTE este JSON (sem texto adicional): +json{{ + "analysis_summary": {{ + "existing_files": ["lista de arquivos encontrados no autolistlocalproject"], + "knowledge_retrieved": "resumo breve do que foi consultado no retrieve_backend_context" + }}, + "implementation_details": {{ + "approach": "breve descrição da estratégia de implementação", + "stack_decisions": ["Flask blueprints", "SQLAlchemy models", "Pydantic validation"] + }}, + "saved_files": [ + "{local_to_save}/app/routes/auth.py", + "{local_to_save}/app/models/user.py", + "{local_to_save}/manifest.json" + ], + "next_steps": [ + "Configurar variáveis de ambiente no .env", + "Executar migrações do banco de dados" + ] +}} + +EXEMPLOS DE USO DAS FERRAMENTAS +Exemplo 1: Criar Endpoint de Autenticação +Sequência: + +autolistlocalproject → Verificar se já existe app/routes/auth.py +retrieve_backend_context → query: "melhores práticas JWT Flask" +autosave → Criar app/routes/auth.py com blueprint +autosave → Criar app/schemas/auth.py com Pydantic models +autosave → Atualizar manifest.json + +Exemplo 2: Implementar Model de Usuário +Sequência: + +autolistlocalproject → Mapear models existentes +retrieve_backend_context → query: "schema usuário autenticação PostgreSQL" +autosave → Criar app/models/user.py com SQLAlchemy +autosave → Atualizar manifest.json + + +CHECKLIST PRÉ-RESPOSTA +Antes de enviar o JSON final, confirme: + + Executei autolistlocalproject? + Consultei retrieve_backend_context para decisões importantes? + Todos os arquivos foram salvos via autosave? + O manifest.json foi atualizado? + O JSON de resposta está válido e completo? + +COMECE AGORA: Execute autolistlocalproject e retrieve_backend_context antes de qualquer implementação. + + """ + + imported_tools = [autosave, retrieve_backend_context, autolistlocalproject] + + session = SQLiteSession("agent_session_backend_01", db_path=os.path.join(os.path.dirname(__file__), 'Sessions', f"session_{user_id}.db")) + + agent = Agent( + name="Agent Code BackEnd", + instructions=prompt_system_direct, + model=model, + output_type=CodeBackEndAgentOutput, + model_settings=ModelSettings(include_usage=True), + tools=imported_tools + ) + result = await Runner.run( + agent, + user_content, + max_turns=300, + session=session + ) + final_output = result.final_output + saved_files = final_output.saved_files + + usage = result.context_wrapper.usage + total_usage["input"] = usage.input_tokens + total_usage["cached"] = usage.input_tokens_details.cached_tokens + total_usage["reasoning"] = usage.output_tokens_details.reasoning_tokens + total_usage["output"] = usage.output_tokens + total_usage["total"] = usage.total_tokens + + logger.info(f"Agent Final Usage: {total_usage['total']} total tokens.") + + + return total_usage["total"], saved_files + + + + + + + diff --git "a/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Arquitetura.md" "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Arquitetura.md" new file mode 100644 index 000000000..b72b0119e --- /dev/null +++ "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Arquitetura.md" @@ -0,0 +1,62 @@ +Padrões de Arquitetura Simplificada (Front-End) +0. Padrões de Arquitetura Simplificada +Arquitetura Padrão: SPA Simples (Vite/React) +ID: ARQ-SPA-SIMPLES +Palavras-Chave: arquitetura spa simples react componentes +Padrão: Adotar o padrão de Componentes (Pages -> Components -> Hooks/Lib) para organizar a interface. +Fluxo: A Page (View) coordena a aplicação (ex: carrega dados), chamando Hooks (Service) para a lógica de dados, que, por sua vez, usa a camada de Lib (Communication/API) para interagir com o Back-End. +Vantagem: É altamente modular, fácil de testar isoladamente e é a arquitetura inicial mais recomendada para aprender a base de React. + +2. Convenções de Nomenclatura e Arquivos +2.1. Nomenclatura de Arquivos +ID: CONV-FILE-NAMING-FE +Regra: Usar PascalCase para componentes React e camelCase para hooks e arquivos utilitários/lib. Extensão .tsx para componentes e .ts para lógica pura. +Bom: UserProfileCard.tsx, useFetchData.ts, apiClient.ts +Ruim: user_profile_card.tsx, usefetchdata.ts + +2.2. Nomenclatura de Funções/Hooks +ID: CONV-FUNC-NAMING-FE +Regra: Hooks customizados devem começar com use (ex: useUser()). Funções em Libs devem usar verbos no infinitivo para indicar a ação que realizam (ex: formatDate, getAuthToken). + +2.3. Uso de try...catch (Comunicação API) +ID: CONV-TRY-CATCH-FE +Regra: O bloco try...catch para chamadas de API (e tratamento de erro HTTP) DEVE ser usado na camada de Hooks (Service). A camada de Pages deve apenas receber a exceção tratada (ex: um erro amigável já formatado) para exibição. + +3. Arquitetura Desejável (Front-End) + +nomedoprojeto/ +├── Front-End/ +│ ├── ... (arquivos de config do Front-End como package.json, vite.config.ts) +│ └── src/ +│ ├── components/ +│ │ ├── Common/ +│ │ │ ├── Button.tsx +│ │ │ ├── ... +│ │ ├── Forms/ +│ │ │ ├── LoginForm.tsx +│ │ │ ├── ... +│ ├── constants/ +│ │ ├── apiUrls.ts +│ │ ├── ... +│ ├── contexts/ +│ │ ├── AuthContext.tsx +│ │ ├── ... +│ ├── hooks/ +│ │ ├── useAuth.ts +│ │ ├── useProductList.ts +│ │ ├── ... +│ ├── lib/ +│ │ ├── apiClient.ts // Cliente HTTP configurado +│ │ ├── typeguards.ts +│ │ ├── formatDate.ts +│ │ ├── ... +│ ├── pages/ +│ │ ├── Login.tsx +│ │ ├── Dashboard.tsx +│ │ ├── ... +│ ├── types/ +│ │ ├── api.ts +│ │ ├── models.ts +│ │ ├── ... +│ ├── App.tsx +│ └── main.tsx diff --git "a/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Comunica\303\247\303\243o.md" "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Comunica\303\247\303\243o.md" new file mode 100644 index 000000000..f3b1de4aa --- /dev/null +++ "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Comunica\303\247\303\243o.md" @@ -0,0 +1,20 @@ +Padrões de Comunicação (Front-End) + +1.1. Configuração de Requisições HTTP +ID: FRONT-API-COMMUNICATION +Palavras-Chave: front-end comunicação api axios fetch base url mock +Regra: O Front-End DEVE usar uma única instância de cliente HTTP configurada. Esta instância DEVE ser adaptável para chamar a API Real (usando BASE_URL) ou o Módulo de Mocking com base na variável de ambiente. + +1.2. Tratamento de Erro na Comunicação (Front-End) +ID: FRONT-API-ERROR-HANDLE +Palavras-Chave: front-end tratamento erro 400 401 +Regra: O Front-End DEVE capturar os status HTTP na camada de Hooks e reagir de acordo, utilizando o formato JSON de erro definido no Back-End (ID: CODE-API-ERROR-HANDLING). + +Status Code Ação Obrigatória do Front-End (Na camada de Hook/Context) +401 Unauthorized Redirecionar o usuário para a página de Login.tsx e limpar o token localmente (no Context/Storage). +400 Bad Request Retornar a mensagem de erro (campo message no JSON de erro) para a Page que irá exibir a mensagem no formulário. +404 Not Found Exibir mensagem genérica de "Recurso não encontrado" ou redirecionar para uma página de erro 404. +1.3. Padrão de Autenticação (Token) +ID: FRONT-API-AUTH-TOKEN +Palavras-Chave: front-end autenticação token jwt bearer +Regra: Após o login, o token de acesso (JWT) DEVE ser armazenado em um local seguro (ex: localStorage ou sessionStorage com as devidas precauções) e enviado em TODAS as requisições subsequentes no cabeçalho Authorization: Bearer . \ No newline at end of file diff --git "a/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Cont\303\252ineres.md" "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Cont\303\252ineres.md" new file mode 100644 index 000000000..80621fcb9 --- /dev/null +++ "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Cont\303\252ineres.md" @@ -0,0 +1,20 @@ +Padrões de Contêineres (Front-End) +1. Padrões de Contêineres (Docker) + +1.1. Dockerfile do Front-End (Vite/React) +ID: DEVOPS-DOCKER-FRONT +Palavras-Chave: dockerfile frontend react vite otimizacao +Regra: O Dockerfile do Front-End DEVE ser otimizado para a build estática do Vite, utilizando multi-stage build: + +Stage 1 (Build): Usar uma imagem Node.js (ex: node:20-slim) para instalar dependências (npm install) e realizar a build (npm run build). + +Stage 2 (Servidor): Usar uma imagem leve de servidor HTTP (ex: Nginx ou Caddy) para servir os arquivos estáticos gerados na etapa de build. + +1.2. Docker Compose para Ambiente Local +ID: DEVOPS-COMPOSE-LOCAL +Palavras-Chave: docker-compose ambiente local frontend +Regra: O docker-compose.yml é o padrão para o desenvolvimento local. Ele DEVE orquestrar o serviço: + +front: O contêiner Vite (Front-End). + +Regra de Conexão: O Front-End DEVE usar o nome do serviço do Back-End definido no docker-compose (ex: http://web:8080/api) para a BASE_URL de desenvolvimento, e NUNCA localhost. \ No newline at end of file diff --git "a/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de C\303\263digo.md" "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de C\303\263digo.md" new file mode 100644 index 000000000..51eab2388 --- /dev/null +++ "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de C\303\263digo.md" @@ -0,0 +1,39 @@ +Padrões de Convenção e Estrutura de Código (Front-End) +Este documento mapeia a estrutura de pastas do Front-End para as responsabilidades do código, garantindo que o time júnior saiba onde colocar cada tipo de lógica. + +1. Mapeamento da Estrutura de Módulos (Separation of Concerns) +A estrutura de Front-End/src implementa o padrão de Camadas de Apresentação (Presentation Layer), separando as preocupações: + +Pasta Responsabilidade Descrição Padrões de Uso (ID RAG) +pages View Principal (Controller/Coordinator) Contém os componentes principais (ex: Login.tsx, Dashboard.tsx). Sua única responsabilidade é coordenar o estado global, chamar hooks e renderizar os componentes de UI. NUNCA deve conter lógica de formatação ou acesso direto à API. ARQ-SPA-SIMPLES +components Componentes de UI (View) Blocos de construção reutilizáveis (ex: Button, Card, Header). Devem ser puros (stateless) e receber dados via props. ARQ-SPA-SIMPLES, CODE-REACT-PURE-COMPONENTS +hooks Lógica de Dados/Estado (Service) Lógica reusável para manipular o estado local ou chamar a API. Ex: useAuth(), useUserData(). É o ponto de contato entre a Page e a camada de Lib. CODE-REACT-HOOKS, FRONT-API-COMMUNICATION +lib Funções Utilitárias/API Código sem estado, reutilizável (ex: formatDate(), calculateTax()) e o cliente HTTP configurado. Ex: apiClient.ts. FRONT-API-COMMUNICATION, FRONT-API-ERROR-HANDLE +contexts Estado Global Mecanismo para gerenciar o estado global da aplicação (ex: Tema, Usuário Autenticado) sem prop-drilling. - +constants Constantes Globais Variáveis que não mudam (ex: URLs de API, textos estáticos). - + +Padrões de Código Essenciais (Front-End) +1. Padrão de Componentes React + +1.1. Componentes Puros e Tipagem (TypeScript) +ID: CODE-REACT-PURE-COMPONENTS +Palavras-Chave: react typescript componentes puros props +Regra: A maioria dos componentes em src/components DEVE ser funcional e pura (stateless), aceitando as propriedades (props) e emitindo eventos se necessário. Toda prop DEVE ser explicitamente tipada com interface ou type do TypeScript. + +1.2. Evitar Lógica de Negócio em Componentes (Separação de Preocupações) +ID: CODE-REACT-NO-BUSINESS-LOGIC +Regra: Componentes em src/components NÃO DEVEM conter lógica de negócio complexa, chamadas de API diretas (fetch ou axios dentro do componente), ou manipulação de estado que não seja puramente de UI. Delegar isso aos Hooks e Pages. + +2. Padrões de Hooks e Estado + +2.1. Hooks para Lógica de Dados +ID: CODE-REACT-HOOKS +Palavras-Chave: react hooks usememo usecallback +Regra: Utilizar Hooks customizados em src/hooks para isolar a lógica de acesso a dados, manipulação de estado complexa ou efeitos colaterais (useEffect). Isso torna a lógica reutilizável e mais fácil de testar. + +2.2. Otimização de Performance (Básica) +ID: CODE-REACT-PERFORMANCE-JUNIOR +Regra: Usar useMemo para memorizar cálculos caros e useCallback para memorizar funções que são passadas como props para componentes filhos, evitando re-renderizações desnecessárias. + +3. Padrão de Comunicação com a API (Ver documento de Comunicação) +Regra: A comunicação deve ser centralizada em lib/apiClient.ts e consumida pelos Hooks. \ No newline at end of file diff --git "a/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Design System.md" "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Design System.md" new file mode 100644 index 000000000..eb32ea098 --- /dev/null +++ "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Design System.md" @@ -0,0 +1,56 @@ +Padrões de Design System (DS) e Componentização de Alto Nível +Este documento eleva os componentes (já definidos em) a um Design System, fornecendo regras claras para a criação e uso de elementos de interface (UI/UX) consistentes. + +1. Princípios Fundamentais do Design System (DS) +1.1. Fonte Única da Verdade Visual (Single Source of Truth) +ID: DS-VISUAL-SSOT +Palavras-Chave: design system single source of truth atomic design +Regra: Todos os elementos de UI (Cores, Fontes, Espaçamentos, Componentes) DEVEM ser definidos e importados de um local central. O time júnior e o Agente de IA NUNCA devem aplicar estilos diretamente nos componentes de Pages ou Hooks; eles devem sempre usar os componentes de UI de src/components/Common/ ou tokens do Tailwind. + +1.2. Componentes Adaptáveis e Responsivos +ID: DS-RESPONSIVE-FIRST +Palavras-Chave: design system responsivo mobile first +Regra: O desenvolvimento DEVE ser Mobile First. Todos os componentes, por padrão, devem ser projetados e codificados para funcionar e parecerem excelentes em telas pequenas antes de serem adaptados para telas maiores (desktop). O uso de utilitários de responsividade do Tailwind CSS (ex: md:, lg:) é obrigatório. + +1.3. Documentação de Componentes +ID: DS-COMPONENT-DOCS +Regra: Embora estejamos focados na velocidade, cada componente de UI não trivial (ex: Modal, Table, Card) DEVE ter um arquivo de documentação ou story adjacente (ex: usando Storybook ou um README simples no componente) descrevendo suas props e casos de uso. +Requisito para o Agente de IA: A IA deve gerar comentários no código-fonte do componente descrevendo suas funcionalidades. + +2. Padrões de Componentização Específicos +2.1. Nomenclatura e Tipos de Componentes +ID: DS-COMPONENT-ATOMIC +Palavras-Chave: atomic design nomenclatura +Regra: Adotar a lógica do Atomic Design (Átomos, Moléculas, Organismos) para organizar a pasta src/components/ + +Nível Exemplo de Pasta/Nome Descrição Onde Usar +Átomos Button.tsx, Input.tsx Elementos HTML puros e básicos, com pouco ou nenhum estado interno. Em toda parte. +Moléculas LoginForm.tsx, UserCard.tsx Grupos de Átomos que funcionam juntos (ex: Input + Rótulo + Botão). Dentro de Organismos ou Pages. +Organismos Header.tsx, Sidebar.tsx Seções complexas da interface (ex: um Header com navegação e busca). Dentro de Pages. +2.2. Separação de Estilos (Tokens de Design) +ID: DS-STYLE-TOKENS +Regra: Todos os valores de estilo (cores, espaçamento, tamanhos de borda) DEVEM ser referenciados por meio de tokens definidos no arquivo de configuração do Tailwind (ou variáveis CSS se necessário) e NUNCA por valores literais. +Exemplo: Usar className="bg-primary-500" ao invés de style={{ backgroundColor: '#1A73E8' }}. + +3. Padrões de Interação e Feedback (Avançado) +3.1. Feedback Visual de Interação +ID: DS-INTERACTION-FEEDBACK +Palavras-Chave: hover focus active +Regra: Todo elemento interativo (botões, links, ícones clicáveis) DEVE fornecer feedback visual claro para os estados de Hover, Focus (acessibilidade com teclado), e Active (clique). O Tailwind deve ser usado para definir estes estados. + +3.2. Hierarquia Visual de Ações +ID: DS-ACTION-HIERARCHY +Palavras-Chave: botões primário secundário destrutivo +Regra: Botões e Ações devem ter uma hierarquia visual clara, geralmente usando apenas um Botão Primário (destacado, ex: cor principal) por tela/formulário, e os demais como Secundários (contorno/fundo claro) ou Destrutivos (cor de alerta/vermelha). + +3.3. Uso de Cores Semânticas +ID: DS-SEMANTIC-COLOR +Regra: As cores DEVEM ser usadas de forma consistente para transmitir significado, NUNCA apenas por estética: + +Primary (Azul/Verde): Ações Principais, Links. + +Success (Verde): Confirmação, Operação Bem-Sucedida. + +Warning (Amarelo): Atenção, Ações que Requerem Cuidado. + +Danger (Vermelho): Erros, Ações Destrutivas ou Irreversíveis. \ No newline at end of file diff --git "a/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Integra\303\247\303\243o Cont\303\255nua.md" "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Integra\303\247\303\243o Cont\303\255nua.md" new file mode 100644 index 000000000..5f30b26f4 --- /dev/null +++ "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Integra\303\247\303\243o Cont\303\255nua.md" @@ -0,0 +1,14 @@ +Padrões de Integração Contínua (Front-End) +2. Padrões de Integração Contínua (CI/CD) + +2.1. Arquivo de Deploy (deploy.yml) +ID: DEVOPS-CI-DEPLOY-FRONT +Palavras-Chave: ci/cd github actions deploy.yml frontend +Regra: O pipeline de CI/CD (localizado em .github/workflows/deploy.yml) DEVE ter, no mínimo, as seguintes etapas antes de qualquer deploy: + +Instalação/Build: Instalar dependências (npm install) e gerar a build de produção (npm run build). + +Testes: Executar os testes unitários (TEST-FE-TOOL) nas camadas de Hooks e Lib. + +Lint/Tipagem: Garantir que o código siga os padrões de formatação e que o TypeScript não gere erros (npm run lint e npm run type-check). + diff --git "a/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Mocking.md" "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Mocking.md" new file mode 100644 index 000000000..95b64633b --- /dev/null +++ "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Mocking.md" @@ -0,0 +1,49 @@ +Padrões de Mocking e Desenvolvimento Desacoplado (Front-End) +Este documento estabelece as regras para simular a API do Back-End no Front-End, permitindo que o desenvolvimento da interface e da experiência do usuário (UI/UX) ocorra em paralelo e seja validado rapidamente. + +1. Padrão de Contrato e Tipagem da API +1.1. Definição do Contrato da API (TypeScript Types) +ID: MOCK-CONTRACT-TYPES +Palavras-Chave: contrato api typescript interface mocking +Regra: Toda requisição e resposta de API DEVE ser primeiro definida em TypeScript Interfaces/Types em src/types/api.ts. Esta tipagem serve como o Contrato Oficial da API. O Front-End e o Back-End devem aderir a este contrato. +Exemplo: Antes de fazer a chamada, defina interface User { id: number; name: string; email: string; }. + +1.2. Mapeamento de Tipagem para Dados Mockados +ID: MOCK-DATA-STRUCTURE +Regra: Todos os dados mockados (simulados) DEVEM ser gerados de forma que correspondam exatamente às TypeScript Interfaces. Isso garante que, quando o Back-End real for conectado, não haja erros de tipagem no Front-End. + +2. Padrões de Simulação (Mocking) +2.1. Centralização do Mocking +ID: MOCK-TOOL-CENTRALIZATION +Palavras-Chave: mocking centralizado msw json-server +Regra: O Mocking de todas as rotas da API DEVE ser implementado em um módulo centralizado (ex: usando uma biblioteca como MSW - Mock Service Worker ou um serviço local simples em src/lib/mockApi.ts). + +2.2. Uso Obrigatório do Mocking no Desenvolvimento Local +ID: MOCK-ENV-DEV +Palavras-Chave: ambiente desenvolvimento mocking +Regra: Durante o desenvolvimento local (npm run dev), o Front-End DEVE consumir os dados mockados por padrão (lido de uma variável de ambiente como VITE_USE_MOCKING=true). +Justificativa: Isso permite que a IA gere a interface e o time júnior veja e valide a UI/UX imediatamente. + +2.3. Estrutura de Resposta Mockada (Padrão JSON) +ID: MOCK-RESPONSE-FORMAT +Regra: Os mocks de sucesso DEVEM retornar a resposta no formato JSON de sucesso definido (ID: CODE-API-SUCCESS), e os mocks de erro DEVEM retornar no formato de erro (ID: CODE-API-ERROR-HANDLING). +Exemplo de Mock de Sucesso (para uma lista de usuários): + +TypeScript + +{ + status: 'success', + message: 'Dados mockados com sucesso.', + data: [{ id: 1, name: 'Usuário Mock 1' }, { id: 2, name: 'Usuário Mock 2' }] +} +3. Integração com o Workflow de Aprovação +3.1. Chave de Toggle para Mocking +ID: MOCK-TOGGLE-KEY +Palavras-Chave: chave toggle mock +Regra: Deve haver uma chave de ambiente (ex: VITE_API_BASE_URL ou VITE_USE_MOCKING) que possa ser facilmente alternada para mudar o Front-End de Mock (Desenvolvimento/Aprovação Rápida) para API Real (Testes de Integração). +Requisito para Juniores: O Front-End gerado DEVE funcionar perfeitamente em ambos os modos, sem alterações no código dos componentes ou hooks. + +3.2. Mocks de Erro para UI/UX +ID: MOCK-ERROR-SIMULATION +Palavras-Chave: simulação de erro ui ux +Regra: O time Front-End DEVE criar mocks específicos para simular os erros de API mais comuns (400, 401, 500) para garantir que os estados de erro da UI/UX (ex: Toast de falha, redirecionamento para Login, mensagens de formulário) sejam exibidos corretamente e sejam amigáveis. \ No newline at end of file diff --git "a/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Requisitos.md" "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Requisitos.md" new file mode 100644 index 000000000..e3a3b57ed --- /dev/null +++ "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Requisitos.md" @@ -0,0 +1,39 @@ +Padrões de Requisitos Simplificados (Front-End) +3. Padrões de Requisitos Simplificados + +3.1. Template de Requisito Funcional (RF) - Básico +ID: TEMPLATE-RF-BASICO-FE +Palavras-Chave: modelo requisito funcional basico frontend +Foco em clareza, na Interação do Usuário e nos Passos de Teste para verificação manual. + +Exemplo Modelo: +RF-XXX: [Módulo] - Título da Funcionalidade +Descrição (O que deve fazer): O usuário deve ser capaz de realizar o cadastro no sistema através do formulário na página de Login.tsx. +Regras de Negócio Chave (Front-End): + +O campo de e-mail deve ser validado para o formato padrão. + +A confirmação de senha deve ser idêntica à senha (validação local). + +Em caso de sucesso na API (201 Created), o Front-End deve redirecionar o usuário para a página de /dashboard. +Passos de Teste (Para Estagiário): + +[ ] Tentar enviar o formulário com o campo de e-mail vazio. Esperar a mensagem de erro local. + +[ ] Tentar cadastrar com senha diferente da confirmação. Esperar a mensagem de erro local. + +[ ] Tentar cadastrar com dados válidos. Verificar se o usuário é redirecionado para o dashboard. + +3.2. Template de Requisito Não-Funcional (RNF) - Foco em Usabilidade/Performance +ID: TEMPLATE-RNF-SIMPLES-FE +Palavras-Chave: modelo requisito nao-funcional junior usabilidade performance +Os RNFs devem ser simples e diretamente relacionados à experiência do usuário ou à performance básica. + +Exemplo Modelo: +RNF-XXX: [Categoria: Usabilidade] - Estados de Carregamento +Especificação: Todo botão que dispara uma chamada de API (POST/PUT) DEVE exibir um estado de carregamento (loading=true) para evitar cliques duplos e informar ao usuário que a requisição está em andamento. +Justificativa: Melhorar a experiência do usuário e evitar envio de dados duplicados. + +RNF-YYY: [Categoria: Performance] - Carregamento Lento (Lazy Loading) +Especificação: As rotas menos acessadas (ex: /admin-panel) DEVERÃO utilizar o Lazy Loading (carregamento sob demanda) para não atrasar o carregamento inicial da aplicação. +Justificativa: Reduzir o initial load time da aplicação. \ No newline at end of file diff --git "a/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Testes Unit\303\241rios.md" "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Testes Unit\303\241rios.md" new file mode 100644 index 000000000..392053157 --- /dev/null +++ "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de Testes Unit\303\241rios.md" @@ -0,0 +1,21 @@ +Padrões de Testes Unitários (Front-End React) +Garantir que os juniores saibam como testar a UI e a lógica isoladamente. + +2.1. Ferramenta de Teste +ID: TEST-FE-TOOL +Palavras-Chave: testes frontend unitarios jest rtl +Regra: Utilizar Vitest como runner de testes e React Testing Library (RTL) como biblioteca principal para testes de componentes. Foco em testar o comportamento (o que o usuário vê) e não os detalhes de implementação do React. + +2.2. Testes para a Camada de Componentes (UI) +ID: TEST-FE-UI-COMPONENT +Palavras-Chave: testes componentes react rtl mock +Regra: Ao testar um componente em src/components/, é OBRIGATÓRIO utilizar mocking para simular funções passadas como props ou context (se aplicável). O teste deve verificar se o componente renderiza corretamente com as props fornecidas e se o evento correto é disparado (ex: fireEvent.click). + +2.3. Testes para a Camada de Lógica (Hooks/Lib) +ID: TEST-FE-LOGIC-HOOKS +Palavras-Chave: testes hooks lógica reativa +Regra: Testes de Hooks customizados devem usar a função renderHook do RTL (ou similar) para garantir que a lógica de estado e side effects esteja correta. O acesso à API (apiClient) DEVE ser mockado para que o teste seja unitário, verificando apenas o fluxo de sucesso/erro do hook. + +2.4. Localização dos Testes +ID: TEST-FE-LOCATION +Regra: Todos os arquivos de teste devem residir na mesma pasta que o código que está sendo testado (ex: src/components/Button.test.tsx) ou em uma pasta __tests__ adjacente, e ter o sufixo .test.tsx ou .test.ts. \ No newline at end of file diff --git "a/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de UI e UX.md" "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de UI e UX.md" new file mode 100644 index 000000000..8fae09807 --- /dev/null +++ "b/backend/Agents/AppAI/CodeFrontend/Knowledge/Docs/Padr\303\265es de UI e UX.md" @@ -0,0 +1,65 @@ +Padrões de Interface e Experiência do Usuário (UI/UX) +Este documento estabelece as regras básicas de design e interação para garantir uma aplicação com excelente usabilidade para o time júnior. O foco é na consistência, clareza e na minimização da frustração do usuário. + +1. Padrões de Formulários e Entradas +1.1. Estado de Feedback Imediato +ID: UX-FORM-FEEDBACK +Palavras-Chave: formulário feedback erro validação +Regra: A validação de campos (erros de formato, campos obrigatórios) DEVE ocorrer imediatamente (on-blur ou on-change) ANTES do envio para o Back-End (validação local no Front-End). O campo com erro DEVE ter sua borda destacada (ex: cor vermelha) e a mensagem de erro deve estar próxima ao campo. + +1.2. Rótulos e Placeholder +ID: UI-FORM-LABELS +Palavras-Chave: formulário rótulo placeholder +Regra: Todo campo de entrada DEVE ter um rótulo (

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fácil de navegar, testar e é a arquitetura inicial mais recomendada para aprender a base. + +Padrões de Convenção e Estrutura de Código (Back-End) +Este documento mapeia a estrutura de pastas do Back-End para as responsabilidades do código, garantindo que o time júnior saiba onde colocar cada tipo de lógica. + +1. Mapeamento da Estrutura de Módulos (Separation of Concerns) +A estrutura de Back-End/Modules implementa o padrão de Camadas de Serviço (Service Layer), separando as preocupações: + +Pasta + +Responsabilidade + +Descrição + +Padrões de Uso (ID RAG) + +Routes + +Interface (Controller) + +Contém os arquivos auth.py, user.py, etc., que definem as rotas (URL, métodos HTTP). A única responsabilidade é receber a requisição, validar a entrada (Pydantic), e chamar a camada de Service (Resolvers). NUNCA deve conter lógica de negócio ou acesso direto ao banco. + +STACK-BACK-FLASK, CODE-API-SUCCESS + +Resolvers + +Lógica de Negócio (Service) + +O coração da aplicação. Contém a lógica de negócio principal (ex: user_register.py, generate_invoice_pdf.py). Recebe dados validados da Routes, executa a regra de negócio e coordena chamadas a Geters, Savers e Helpers. + +ARQ-BUSINESS-SERVICE, CODE-API-ERROR-HANDLING + +Geters + +Acesso à Leitura (Repository) + +Funções puras para ler dados de PostgreSQL (via Flask-SQLAlchemy) ou MongoDB (logs/auditoria). Ex: get_user_by_email(). + +STACK-DB-POSTGRES, CODE-DB-READ-GET + +Savers + +Acesso à Escrita (Repository) + +Funções puras para escrever ou atualizar dados no PostgreSQL ou MongoDB. Ex: create_new_user(), log_action(). Contém o db.session.commit(). + +STACK-DB-POSTGRES, STACK-DB-MONGO-LOGS, CODE-DB-CREATE-COMMIT + +Helpers + +Funções Utilitárias + +Código sem estado, reutilizável, que não contém lógica de negócio ou acesso ao banco. Ex: format_date(), validate_cpf(), calculate_discount(). + +- + +Config + +Configuração da Aplicação + +Inicialização de módulos (Flask, SQLAlchemy, MongoDB, etc.) e carregamento de variáveis de ambiente. + +- + +2. Convenções de Nomenclatura e Arquivos +2.1. Nomenclatura de Arquivos +ID: CONV-FILE-NAMING +Regra: Usar snake_case para todos os nomes de arquivos Python e pastas, sendo descritivo. + +Bom: user_registration_resolver.py, get_all_products.py + +Ruim: UserRegistration.py, Getallproducts.py + +2.2. Nomenclatura de Funções +ID: CONV-FUNC-NAMING +Regra: Funções devem usar verbos no infinitivo para indicar a ação que realizam (ex: get, create, update, send, generate). + +Funções em Resolvers: Devem descrever o processo: register_new_user(), process_order(). + +Funções em Geters/Savers: Devem ser diretas ao DB: get_user_by_id(), save_new_log(). + +2.3. Uso de try...except +ID: CONV-TRY-EXCEPT +Regra: O bloco try...except DEVE ser usado primariamente na camada Resolvers (Service) e NÃO nas rotas. As rotas devem apenas capturar a exceção tratada e mapear para a resposta HTTP (ex: 400 Bad Request). + +Anti-Padrão: + +# Módulos/Routes/user.py (ANTI-PADRÃO) +@user_bp.route('/register', methods=['POST']) +def register(): + try: + # Lógica de negócio ou DB aqui + ... + except Exception as e: + return jsonify({"error": str(e)}), 500 + +3. arquitetura desejavel: +``` +nomedoprojeto\ +├── Readme.md +├── docker-compose.yml +└── .github\ + └── workflows\ + ├── deploy.yml +└── Front-End\ + └── vite.config.ts + └── tsconfig.node.json + └── tsconfig.json + └── tsconfig.app.json + └── tailwind.config.ts + └── postcss.config.js + └── package.json + └── Dockerfile + └── package-lock.json + └── index.html + └── eslint.config.js + └── components.json + └── .env + └── public\ + └── src\ + └── components\ + ├── ... + └── constants\ + ├── ... + └── contexts\ + ├── ... + └── hooks\ + ├── ... + └── lib\ + ├── ... + └── pages\ + ├── Login.tsx + ├── ... + └── App.css + └── App.tsx + └── index.css + └── main.tsx + └── vite-env.d.ts + +└── Back-End\ + ├── requirements.txt + ├── Dockerfile + ├── api.py + └── Keys\ + ├── keys.env + └── Models\ + └── mongoDB\ + ├── audit.py + ├── logs.py + └── postgreSQL\ + ├── user.py + ├── ... + └── Modules\ + └── Config\ + ├── setup.py + ├── ... + └── Geters\ + ├── logs.py + ├── user_by_access_token.py + ├── user_by_email.py + ├── ... + └── Helpers\ + ├── ... + └── Resolvers\ + ├── generate_invoice_pdf.py + ├── send_email.py + ├── user_identifier.py + ├── ... + └── Routes\ + ├── auth.py + ├── ... + └── Savers\ + ├── log_action.py + ├── log_audit.py + ├── log_system_health.py + ├── ... + └── Updaters\ + ├── ... + +``` diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de Comunica\303\247\303\243o.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de Comunica\303\247\303\243o.md" new file mode 100644 index 000000000..de8497e07 --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de Comunica\303\247\303\243o.md" @@ -0,0 +1,35 @@ +1. Padrão de Comunicação (Front-End) + +1.1. Configuração de Requisições HTTP + +ID: FRONT-API-COMMUNICATION +Palavras-Chave: front-end comunicação api axios fetch base url +Regra: O Front-End DEVE usar uma única instância de cliente HTTP (como Axios ou Fetch API) configurada com uma BASE_URL (lida do .env do Front-End) e com o cabeçalho Content-Type: application/json padrão. + +1.2. Tratamento de Erro na Comunicação (Front-End) + +ID: FRONT-API-ERROR-HANDLE +Palavras-Chave: front-end tratamento erro 400 401 +Regra: O Front-End DEVE capturar os status HTTP e reagir de acordo, utilizando o formato JSON de erro definido no Back-End (CODE-API-ERROR-HANDLING). + +Status Code + +Ação Obrigatória do Front-End + +401 Unauthorized + +Redirecionar o usuário para a página de Login.tsx e limpar o token localmente. + +400 Bad Request + +Exibir a mensagem de erro (campo message no JSON de erro) diretamente no formulário, de forma amigável ao usuário. + +404 Not Found + +Exibir mensagem genérica de "Recurso não encontrado" ou redirecionar para uma página de erro 404. + +1.3. Padrão de Autenticação (Token) + +ID: FRONT-API-AUTH-TOKEN +Palavras-Chave: front-end autenticação token jwt bearer +Regra: Após o login, o token de acesso (JWT) DEVE ser armazenado em um local seguro (ex: localStorage ou sessionStorage com as devidas precauções) e enviado em TODAS as requisições subsequentes no cabeçalho Authorization: Bearer . \ No newline at end of file diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de Cont\303\252ineres.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de Cont\303\252ineres.md" new file mode 100644 index 000000000..d954e079a --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de Cont\303\252ineres.md" @@ -0,0 +1,31 @@ +1. Padrões de Contêineres (Docker) + +1.1. Dockerfile do Back-End (Flask) + +ID: DEVOPS-DOCKER-BACK +Palavras-Chave: dockerfile backend flask python otimizacao +Regra: O Dockerfile do Back-End DEVE ser otimizado para o Python, utilizando multi-stage build (se possível) ou, no mínimo, um .dockerignore para excluir arquivos desnecessários (.git, __pycache__). + +Etapas Cruciais: + +Começar de uma imagem oficial de Python (ex: python:3.11-slim-buster). + +Copiar requirements.txt e instalá-los antes de copiar o código-fonte (para aproveitar o cache do Docker). + +Definir o ENTRYPOINT para executar o api.py ou um script de inicialização. + +1.2. Docker Compose para Ambiente Local + +ID: DEVOPS-COMPOSE-LOCAL +Palavras-Chave: docker-compose ambiente local postgres mongodb +Regra: O docker-compose.yml é o padrão para o desenvolvimento local. Ele DEVE orquestrar no mínimo três serviços: + +web: O contêiner Flask (Back-End). + +db: O contêiner PostgreSQL. + +mongo: O contêiner MongoDB. + +front: O contêiner Front-End (React/Vite) para simular o ambiente de produção. + +Regra de Conexão: O Back-End DEVE usar os nomes dos serviços definidos no docker-compose (ex: postgres://user:pass@db:5432/app) e NUNCA localhost. \ No newline at end of file diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de C\303\263digo.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de C\303\263digo.md" new file mode 100644 index 000000000..f7d47f64b --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de C\303\263digo.md" @@ -0,0 +1,113 @@ +Padrões de Código Essenciais (Flask e SQLAlchemy) + +Esta documentação fornece o "como fazer" para o time de desenvolvimento, garantindo que os requisitos gerados pelo agente sejam implementados de forma consistente e com boas práticas básicas na stack Flask/PostgreSQL. + +1. Padrão de Resposta e Erro da API (JSON) + +1.1. Resposta de Sucesso Padrão + +ID: CODE-API-SUCCESS +Palavras-Chave: flask resposta padrao json 200 201 +Regra: Todas as respostas de sucesso DEVERÃO ser em formato JSON, encapsulando o objeto de dados. + +Criação (POST): Usar status 201 Created. + +Leitura/Atualização (GET/PUT): Usar status 200 OK. + +Exemplo de Corpo de Resposta (200 OK): + +{ + "status": "success", + "message": "Operação realizada com sucesso.", + "data": { + "id": 101, + "nome": "Usuário Teste", + "email": "teste@exemplo.com" + } +} + + +1.2. Tratamento de Erro Padrão + +ID: CODE-API-ERROR-HANDLING +Palavras-Chave: flask tratamento erro 400 404 500 +Regra: Em caso de erro, o status HTTP DEVE refletir a natureza do problema, e a resposta DEVE conter a chave "error". + +Status Code + +Causa Comum + +Descrição para o Agente + +400 Bad Request + +Falha de validação de dados (ex: e-mail inválido, campo obrigatório faltando). + +Gerar requisito para validar a entrada antes de chamar o Service. + +401 Unauthorized + +Token de acesso inválido ou ausente. + +Gerar requisito para implementar um decorador de autenticação. + +404 Not Found + +Recurso não encontrado (ex: GET /usuarios/999 que não existe). + +Gerar requisito para tratar o erro "Resource Not Found" no Service layer. + +500 Internal Server Error + +Erro inesperado no servidor. + +Gerar requisito para um bloco try/except robusto na camada de Service. + +2. Padrões CRUD com Flask-SQLAlchemy + +2.1. Padrão de Leitura (Repository/Data Layer) + +ID: CODE-DB-READ-GET +Palavras-Chave: sqlalchemy leitura find_by_id orm get +Regra: Usar session.get(Model, id) para buscar por chave primária. +Anti-Padrão a evitar: Nunca expor o objeto de banco de dados diretamente ao Controller. Sempre mapear para um DTO (Data Transfer Object) simples ou um dicionário. + +2.2. Padrão de Criação e Commit + +ID: CODE-DB-CREATE-COMMIT +Palavras-Chave: sqlalchemy criacao add commit +Regra: A criação de novos registros DEVE seguir o padrão novo_obj = Model(**dados); db.session.add(novo_obj); db.session.commit(). + +2.3. Padrão de Logs Assíncronos (MongoDB) + +ID: CODE-DB-LOGS-MONGO +Palavras-Chave: mongodb logs assincronos +Regra: Logs de eventos não críticos (auditoria de acesso, erros não fatais) DEVERÃO ser enviados para o MongoDB. A chamada ao MongoDB deve ser non-blocking (se possível com thread ou pool), para não atrasar a resposta da API principal (PostgreSQL/Flask). + +Exemplo de Estrutura de Log (MongoDB): + +{ + "timestamp": "2025-10-07T10:00:00Z", + "user_id": 101, + "action": "LOGIN_SUCCESS", + "ip_address": "192.168.1.1", + "details": { + "device": "Mobile", + "browser": "Chrome" + } +} + + +3. Segurança Essencial para Juniores + +3.1. Validação de Entrada de Dados (Input Validation) + +ID: SEC-INPUT-VALIDATION +Palavras-Chave: segurança validacao pydantic +Regra: Toda entrada de dados (corpo da requisição, parâmetros de query) DEVE ser validada imediatamente no Controller/View com uma biblioteca como o Pydantic ou similar antes de chegar na camada de Service. Isso previne injeções e garante a integridade dos tipos de dados. + +3.2. Senhas Seguras (Hashing) + +ID: SEC-PASSWORD-HASH +Palavras-Chave: segurança hash de senha bcrypt +Regra: Senhas DEVERÃO ser armazenadas com hashing forte. O uso de Bcrypt é obrigatório. NUNCA armazenar senhas em texto puro ou com hash MD5/SHA-1. A verificação da senha deve ser feita pelo hash \ No newline at end of file diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de Integra\303\247\303\243o Cont\303\255nua.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de Integra\303\247\303\243o Cont\303\255nua.md" new file mode 100644 index 000000000..afd27cff9 --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de Integra\303\247\303\243o Cont\303\255nua.md" @@ -0,0 +1,17 @@ +2. Padrões de Integração Contínua (CI/CD) +2.1. Arquivo de Deploy (deploy.yml) +ID: DEVOPS-CI-DEPLOY +Palavras-Chave: ci/cd github actions deploy.yml +Regra: O pipeline de CI/CD (localizado em .github/workflows/deploy.yml) DEVE ter, no mínimo, as seguintes etapas antes de qualquer deploy: + +Build do Back-End: Instalar dependências e garantir que o Dockerfile possa ser construído. + +Testes: Executar os testes unitários (TEST-PY-TOOL) na camada de Resolvers e Geters/Savers. + +Lint/Formatação: Garantir que o código siga os padrões de formatação (ex: black para Python). + +2.2. Migrações de Banco de Dados +ID: DEVOPS-DB-MIGRATIONS +Palavras-Chave: migracao banco dados flask alembic flyway +Regra: Toda alteração no Models/postgreSQL/ DEVE ser acompanhada de um script de migração (ex: usando Alembic para Flask-SQLAlchemy). +Requisito de CI/CD: O pipeline DEVE rodar as migrações automaticamente ANTES de iniciar a nova versão do Back-End. NUNCA permitir que juniores alterem o banco de dados de produção manualmente. \ No newline at end of file diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de Requisitos.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de Requisitos.md" new file mode 100644 index 000000000..61669b3e6 --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de Requisitos.md" @@ -0,0 +1,37 @@ +3. Padrões de Requisitos Simplificados +3.1. Template de Requisito Funcional (RF) - Básico +ID: TEMPLATE-RF-BASICO +Palavras-Chave: modelo requisito funcional basico +Foco em clareza e nos Passos de Teste para verificação manual. + +Exemplo Modelo: +RF-XXX: [Módulo] - Título da Funcionalidade +Descrição (O que deve fazer): O usuário deve ser capaz de realizar o cadastro no sistema. +Regras de Negócio Chave: + +O e-mail deve ser único no sistema (verificar no PostgreSQL). + +A senha deve ter no mínimo 8 caracteres. + +Após o cadastro, o usuário deve ser redirecionado para a página de login. +Passos de Teste (Para Estagiário): + +[ ] Tentar cadastrar com um e-mail já existente. Esperar erro 400. + +[ ] Cadastrar com senha de 6 caracteres. Esperar mensagem de erro. + +[ ] Cadastrar com dados válidos. Verificar se o registro aparece na tabela usuarios do PostgreSQL. + +3.2. Template de Requisito Não-Funcional (RNF) - Foco em Usabilidade/Segurança +ID: TEMPLATE-RNF-SIMPLES +Palavras-Chave: modelo requisito nao-funcional junior usabilidade +Os RNFs devem ser simples e diretamente relacionados à experiência do usuário ou à segurança básica. + +Exemplo Modelo: +RNF-XXX: [Categoria: Usabilidade] - Mensagens de Erro +Especificação: Todas as mensagens de erro (validação de formulário ou API) DEVEM ser amigáveis e escritas em Português. +Justificativa: Garantir que o usuário entenda o problema e saiba como corrigi-lo. + +RNF-YYY: [Categoria: Segurança] - Logs de Acesso +Especificação: Toda tentativa de login (sucesso ou falha) DEVE gerar um log (IP, timestamp, status) no MongoDB para fins de auditoria básica. +Justificativa: Rastrear atividades suspeitas. \ No newline at end of file diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de Testes Unit\303\241rios.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de Testes Unit\303\241rios.md" new file mode 100644 index 000000000..0b3725165 --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Padr\303\265es de Testes Unit\303\241rios.md" @@ -0,0 +1,30 @@ +2. Padrões de Testes Unitários (Back-End Python) + +Garantir que os juniores saibam como testar as camadas separadas é o maior impulsionador de qualidade em um projeto monolítico. + +2.1. Ferramenta de Teste + +ID: TEST-PY-TOOL +Palavras-Chave: testes python unitarios pytest +Regra: Utilizar o pytest como framework de testes unitários padrão. + +2.2. Testes para a Camada de Serviço (Resolvers) + +ID: TEST-PY-RESOLVER-MOCK +Palavras-Chave: testes resolvers service mocking +Regra: Ao testar um arquivo em Modules/Resolvers/, é OBRIGATÓRIO utilizar mocking para simular as respostas das funções de acesso ao banco de dados (Geters e Savers). O teste deve verificar apenas a lógica de negócio (ex: o cálculo, a validação de regras). + +Exemplo: Para testar Resolvers/process_order.py, o teste deve simular que Savers/save_order.py retornou sucesso, sem tocar no PostgreSQL. + +2.3. Testes para as Camadas de Dados (Geters/Savers) + +ID: TEST-PY-DB-INTEGRATION +Palavras-Chave: testes geters savers banco dados integration +Regra: Testes de Geters e Savers devem ser considerados testes de integração (unitários) e DEVERIAM (se possível no ambiente de CI/CD) rodar contra um banco de dados temporário ou em memória para garantir que as queries SQL/ORM estão corretas. + +Alternativa Simples: Para juniores, o teste mais básico é garantir que, ao chamar a função Savers/save_order(), o objeto correto do ORM é criado e a sessão é chamada para adição. + +2.4. Localização dos Testes + +ID: TEST-PY-LOCATION +Regra: Todos os arquivos de teste devem residir em uma pasta separada (ex: Back-End/tests/) e ter o prefixo test_ no nome (ex: test_user_resolver.py). \ No newline at end of file diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Stack Tecnol\303\263gica.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Stack Tecnol\303\263gica.md" new file mode 100644 index 000000000..61be75d39 --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/backend/Stack Tecnol\303\263gica.md" @@ -0,0 +1,21 @@ +1. Stack Tecnológica Padrão e Justificativas +1.1. Backend para Início Rápido e Clareza +ID: STACK-BACK-FLASK +Palavras-Chave: stack backend python flask blueprint api +Decisão: Python com framework Flask. +Justificativa (Simplicidade): Flask é um micro-framework com pouca "magia" (convenções), permitindo que o desenvolvedor júnior entenda o fluxo de requisição e resposta rapidamente. +Estrutura de API: Utilizar Flask Blueprints para organizar a API por módulos (ex: blueprint_usuarios, blueprint_produtos), mantendo o código limpo e o roteamento claro. + +1.2. Banco de Dados Relacional (Transacional) +ID: STACK-DB-POSTGRES +Palavras-Chave: stack db postgresql flask_sqlalchemy dados transacionais +Decisão: PostgreSQL com ORM Flask-SQLAlchemy. +Justificativa (ACID): PostgreSQL é robusto e gratuito, garantindo integridade e atomicidade dos dados transacionais (pedidos, perfis, etc.). +Justificativa (ORM): O Flask-SQLAlchemy abstrai a complexidade do SQL, permitindo que juniores interajam com o banco de dados usando objetos Python (Modelos), o que acelera o desenvolvimento e reduz erros de SQL. + +1.3. Banco de Dados Não Relacional (Logs e Eventos) +ID: STACK-DB-MONGO-LOGS +Palavras-Chave: stack db mongodb logs auditoria eventos +Decisão: MongoDB para armazenamento de Logs, Auditoria e Eventos não estruturados. +Justificativa (Flexibilidade): Documentos JSON (BSON) são ideais para logs, pois o schema de um log pode mudar sem afetar a aplicação principal. Não é necessário definir schemas complexos para dados não críticos. +Regra de Ouro: NUNCA armazenar dados transacionais ou críticos para o negócio no MongoDB. \ No newline at end of file diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Arquitetura.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Arquitetura.md" new file mode 100644 index 000000000..b72b0119e --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Arquitetura.md" @@ -0,0 +1,62 @@ +Padrões de Arquitetura Simplificada (Front-End) +0. Padrões de Arquitetura Simplificada +Arquitetura Padrão: SPA Simples (Vite/React) +ID: ARQ-SPA-SIMPLES +Palavras-Chave: arquitetura spa simples react componentes +Padrão: Adotar o padrão de Componentes (Pages -> Components -> Hooks/Lib) para organizar a interface. +Fluxo: A Page (View) coordena a aplicação (ex: carrega dados), chamando Hooks (Service) para a lógica de dados, que, por sua vez, usa a camada de Lib (Communication/API) para interagir com o Back-End. +Vantagem: É altamente modular, fácil de testar isoladamente e é a arquitetura inicial mais recomendada para aprender a base de React. + +2. Convenções de Nomenclatura e Arquivos +2.1. Nomenclatura de Arquivos +ID: CONV-FILE-NAMING-FE +Regra: Usar PascalCase para componentes React e camelCase para hooks e arquivos utilitários/lib. Extensão .tsx para componentes e .ts para lógica pura. +Bom: UserProfileCard.tsx, useFetchData.ts, apiClient.ts +Ruim: user_profile_card.tsx, usefetchdata.ts + +2.2. Nomenclatura de Funções/Hooks +ID: CONV-FUNC-NAMING-FE +Regra: Hooks customizados devem começar com use (ex: useUser()). Funções em Libs devem usar verbos no infinitivo para indicar a ação que realizam (ex: formatDate, getAuthToken). + +2.3. Uso de try...catch (Comunicação API) +ID: CONV-TRY-CATCH-FE +Regra: O bloco try...catch para chamadas de API (e tratamento de erro HTTP) DEVE ser usado na camada de Hooks (Service). A camada de Pages deve apenas receber a exceção tratada (ex: um erro amigável já formatado) para exibição. + +3. Arquitetura Desejável (Front-End) + +nomedoprojeto/ +├── Front-End/ +│ ├── ... (arquivos de config do Front-End como package.json, vite.config.ts) +│ └── src/ +│ ├── components/ +│ │ ├── Common/ +│ │ │ ├── Button.tsx +│ │ │ ├── ... +│ │ ├── Forms/ +│ │ │ ├── LoginForm.tsx +│ │ │ ├── ... +│ ├── constants/ +│ │ ├── apiUrls.ts +│ │ ├── ... +│ ├── contexts/ +│ │ ├── AuthContext.tsx +│ │ ├── ... +│ ├── hooks/ +│ │ ├── useAuth.ts +│ │ ├── useProductList.ts +│ │ ├── ... +│ ├── lib/ +│ │ ├── apiClient.ts // Cliente HTTP configurado +│ │ ├── typeguards.ts +│ │ ├── formatDate.ts +│ │ ├── ... +│ ├── pages/ +│ │ ├── Login.tsx +│ │ ├── Dashboard.tsx +│ │ ├── ... +│ ├── types/ +│ │ ├── api.ts +│ │ ├── models.ts +│ │ ├── ... +│ ├── App.tsx +│ └── main.tsx diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Comunica\303\247\303\243o.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Comunica\303\247\303\243o.md" new file mode 100644 index 000000000..f3b1de4aa --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Comunica\303\247\303\243o.md" @@ -0,0 +1,20 @@ +Padrões de Comunicação (Front-End) + +1.1. Configuração de Requisições HTTP +ID: FRONT-API-COMMUNICATION +Palavras-Chave: front-end comunicação api axios fetch base url mock +Regra: O Front-End DEVE usar uma única instância de cliente HTTP configurada. Esta instância DEVE ser adaptável para chamar a API Real (usando BASE_URL) ou o Módulo de Mocking com base na variável de ambiente. + +1.2. Tratamento de Erro na Comunicação (Front-End) +ID: FRONT-API-ERROR-HANDLE +Palavras-Chave: front-end tratamento erro 400 401 +Regra: O Front-End DEVE capturar os status HTTP na camada de Hooks e reagir de acordo, utilizando o formato JSON de erro definido no Back-End (ID: CODE-API-ERROR-HANDLING). + +Status Code Ação Obrigatória do Front-End (Na camada de Hook/Context) +401 Unauthorized Redirecionar o usuário para a página de Login.tsx e limpar o token localmente (no Context/Storage). +400 Bad Request Retornar a mensagem de erro (campo message no JSON de erro) para a Page que irá exibir a mensagem no formulário. +404 Not Found Exibir mensagem genérica de "Recurso não encontrado" ou redirecionar para uma página de erro 404. +1.3. Padrão de Autenticação (Token) +ID: FRONT-API-AUTH-TOKEN +Palavras-Chave: front-end autenticação token jwt bearer +Regra: Após o login, o token de acesso (JWT) DEVE ser armazenado em um local seguro (ex: localStorage ou sessionStorage com as devidas precauções) e enviado em TODAS as requisições subsequentes no cabeçalho Authorization: Bearer . \ No newline at end of file diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Cont\303\252ineres.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Cont\303\252ineres.md" new file mode 100644 index 000000000..80621fcb9 --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Cont\303\252ineres.md" @@ -0,0 +1,20 @@ +Padrões de Contêineres (Front-End) +1. Padrões de Contêineres (Docker) + +1.1. Dockerfile do Front-End (Vite/React) +ID: DEVOPS-DOCKER-FRONT +Palavras-Chave: dockerfile frontend react vite otimizacao +Regra: O Dockerfile do Front-End DEVE ser otimizado para a build estática do Vite, utilizando multi-stage build: + +Stage 1 (Build): Usar uma imagem Node.js (ex: node:20-slim) para instalar dependências (npm install) e realizar a build (npm run build). + +Stage 2 (Servidor): Usar uma imagem leve de servidor HTTP (ex: Nginx ou Caddy) para servir os arquivos estáticos gerados na etapa de build. + +1.2. Docker Compose para Ambiente Local +ID: DEVOPS-COMPOSE-LOCAL +Palavras-Chave: docker-compose ambiente local frontend +Regra: O docker-compose.yml é o padrão para o desenvolvimento local. Ele DEVE orquestrar o serviço: + +front: O contêiner Vite (Front-End). + +Regra de Conexão: O Front-End DEVE usar o nome do serviço do Back-End definido no docker-compose (ex: http://web:8080/api) para a BASE_URL de desenvolvimento, e NUNCA localhost. \ No newline at end of file diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de C\303\263digo.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de C\303\263digo.md" new file mode 100644 index 000000000..51eab2388 --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de C\303\263digo.md" @@ -0,0 +1,39 @@ +Padrões de Convenção e Estrutura de Código (Front-End) +Este documento mapeia a estrutura de pastas do Front-End para as responsabilidades do código, garantindo que o time júnior saiba onde colocar cada tipo de lógica. + +1. Mapeamento da Estrutura de Módulos (Separation of Concerns) +A estrutura de Front-End/src implementa o padrão de Camadas de Apresentação (Presentation Layer), separando as preocupações: + +Pasta Responsabilidade Descrição Padrões de Uso (ID RAG) +pages View Principal (Controller/Coordinator) Contém os componentes principais (ex: Login.tsx, Dashboard.tsx). Sua única responsabilidade é coordenar o estado global, chamar hooks e renderizar os componentes de UI. NUNCA deve conter lógica de formatação ou acesso direto à API. ARQ-SPA-SIMPLES +components Componentes de UI (View) Blocos de construção reutilizáveis (ex: Button, Card, Header). Devem ser puros (stateless) e receber dados via props. ARQ-SPA-SIMPLES, CODE-REACT-PURE-COMPONENTS +hooks Lógica de Dados/Estado (Service) Lógica reusável para manipular o estado local ou chamar a API. Ex: useAuth(), useUserData(). É o ponto de contato entre a Page e a camada de Lib. CODE-REACT-HOOKS, FRONT-API-COMMUNICATION +lib Funções Utilitárias/API Código sem estado, reutilizável (ex: formatDate(), calculateTax()) e o cliente HTTP configurado. Ex: apiClient.ts. FRONT-API-COMMUNICATION, FRONT-API-ERROR-HANDLE +contexts Estado Global Mecanismo para gerenciar o estado global da aplicação (ex: Tema, Usuário Autenticado) sem prop-drilling. - +constants Constantes Globais Variáveis que não mudam (ex: URLs de API, textos estáticos). - + +Padrões de Código Essenciais (Front-End) +1. Padrão de Componentes React + +1.1. Componentes Puros e Tipagem (TypeScript) +ID: CODE-REACT-PURE-COMPONENTS +Palavras-Chave: react typescript componentes puros props +Regra: A maioria dos componentes em src/components DEVE ser funcional e pura (stateless), aceitando as propriedades (props) e emitindo eventos se necessário. Toda prop DEVE ser explicitamente tipada com interface ou type do TypeScript. + +1.2. Evitar Lógica de Negócio em Componentes (Separação de Preocupações) +ID: CODE-REACT-NO-BUSINESS-LOGIC +Regra: Componentes em src/components NÃO DEVEM conter lógica de negócio complexa, chamadas de API diretas (fetch ou axios dentro do componente), ou manipulação de estado que não seja puramente de UI. Delegar isso aos Hooks e Pages. + +2. Padrões de Hooks e Estado + +2.1. Hooks para Lógica de Dados +ID: CODE-REACT-HOOKS +Palavras-Chave: react hooks usememo usecallback +Regra: Utilizar Hooks customizados em src/hooks para isolar a lógica de acesso a dados, manipulação de estado complexa ou efeitos colaterais (useEffect). Isso torna a lógica reutilizável e mais fácil de testar. + +2.2. Otimização de Performance (Básica) +ID: CODE-REACT-PERFORMANCE-JUNIOR +Regra: Usar useMemo para memorizar cálculos caros e useCallback para memorizar funções que são passadas como props para componentes filhos, evitando re-renderizações desnecessárias. + +3. Padrão de Comunicação com a API (Ver documento de Comunicação) +Regra: A comunicação deve ser centralizada em lib/apiClient.ts e consumida pelos Hooks. \ No newline at end of file diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Design System.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Design System.md" new file mode 100644 index 000000000..eb32ea098 --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Design System.md" @@ -0,0 +1,56 @@ +Padrões de Design System (DS) e Componentização de Alto Nível +Este documento eleva os componentes (já definidos em) a um Design System, fornecendo regras claras para a criação e uso de elementos de interface (UI/UX) consistentes. + +1. Princípios Fundamentais do Design System (DS) +1.1. Fonte Única da Verdade Visual (Single Source of Truth) +ID: DS-VISUAL-SSOT +Palavras-Chave: design system single source of truth atomic design +Regra: Todos os elementos de UI (Cores, Fontes, Espaçamentos, Componentes) DEVEM ser definidos e importados de um local central. O time júnior e o Agente de IA NUNCA devem aplicar estilos diretamente nos componentes de Pages ou Hooks; eles devem sempre usar os componentes de UI de src/components/Common/ ou tokens do Tailwind. + +1.2. Componentes Adaptáveis e Responsivos +ID: DS-RESPONSIVE-FIRST +Palavras-Chave: design system responsivo mobile first +Regra: O desenvolvimento DEVE ser Mobile First. Todos os componentes, por padrão, devem ser projetados e codificados para funcionar e parecerem excelentes em telas pequenas antes de serem adaptados para telas maiores (desktop). O uso de utilitários de responsividade do Tailwind CSS (ex: md:, lg:) é obrigatório. + +1.3. Documentação de Componentes +ID: DS-COMPONENT-DOCS +Regra: Embora estejamos focados na velocidade, cada componente de UI não trivial (ex: Modal, Table, Card) DEVE ter um arquivo de documentação ou story adjacente (ex: usando Storybook ou um README simples no componente) descrevendo suas props e casos de uso. +Requisito para o Agente de IA: A IA deve gerar comentários no código-fonte do componente descrevendo suas funcionalidades. + +2. Padrões de Componentização Específicos +2.1. Nomenclatura e Tipos de Componentes +ID: DS-COMPONENT-ATOMIC +Palavras-Chave: atomic design nomenclatura +Regra: Adotar a lógica do Atomic Design (Átomos, Moléculas, Organismos) para organizar a pasta src/components/ + +Nível Exemplo de Pasta/Nome Descrição Onde Usar +Átomos Button.tsx, Input.tsx Elementos HTML puros e básicos, com pouco ou nenhum estado interno. Em toda parte. +Moléculas LoginForm.tsx, UserCard.tsx Grupos de Átomos que funcionam juntos (ex: Input + Rótulo + Botão). Dentro de Organismos ou Pages. +Organismos Header.tsx, Sidebar.tsx Seções complexas da interface (ex: um Header com navegação e busca). Dentro de Pages. +2.2. Separação de Estilos (Tokens de Design) +ID: DS-STYLE-TOKENS +Regra: Todos os valores de estilo (cores, espaçamento, tamanhos de borda) DEVEM ser referenciados por meio de tokens definidos no arquivo de configuração do Tailwind (ou variáveis CSS se necessário) e NUNCA por valores literais. +Exemplo: Usar className="bg-primary-500" ao invés de style={{ backgroundColor: '#1A73E8' }}. + +3. Padrões de Interação e Feedback (Avançado) +3.1. Feedback Visual de Interação +ID: DS-INTERACTION-FEEDBACK +Palavras-Chave: hover focus active +Regra: Todo elemento interativo (botões, links, ícones clicáveis) DEVE fornecer feedback visual claro para os estados de Hover, Focus (acessibilidade com teclado), e Active (clique). O Tailwind deve ser usado para definir estes estados. + +3.2. Hierarquia Visual de Ações +ID: DS-ACTION-HIERARCHY +Palavras-Chave: botões primário secundário destrutivo +Regra: Botões e Ações devem ter uma hierarquia visual clara, geralmente usando apenas um Botão Primário (destacado, ex: cor principal) por tela/formulário, e os demais como Secundários (contorno/fundo claro) ou Destrutivos (cor de alerta/vermelha). + +3.3. Uso de Cores Semânticas +ID: DS-SEMANTIC-COLOR +Regra: As cores DEVEM ser usadas de forma consistente para transmitir significado, NUNCA apenas por estética: + +Primary (Azul/Verde): Ações Principais, Links. + +Success (Verde): Confirmação, Operação Bem-Sucedida. + +Warning (Amarelo): Atenção, Ações que Requerem Cuidado. + +Danger (Vermelho): Erros, Ações Destrutivas ou Irreversíveis. \ No newline at end of file diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Integra\303\247\303\243o Cont\303\255nua.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Integra\303\247\303\243o Cont\303\255nua.md" new file mode 100644 index 000000000..5f30b26f4 --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Integra\303\247\303\243o Cont\303\255nua.md" @@ -0,0 +1,14 @@ +Padrões de Integração Contínua (Front-End) +2. Padrões de Integração Contínua (CI/CD) + +2.1. Arquivo de Deploy (deploy.yml) +ID: DEVOPS-CI-DEPLOY-FRONT +Palavras-Chave: ci/cd github actions deploy.yml frontend +Regra: O pipeline de CI/CD (localizado em .github/workflows/deploy.yml) DEVE ter, no mínimo, as seguintes etapas antes de qualquer deploy: + +Instalação/Build: Instalar dependências (npm install) e gerar a build de produção (npm run build). + +Testes: Executar os testes unitários (TEST-FE-TOOL) nas camadas de Hooks e Lib. + +Lint/Tipagem: Garantir que o código siga os padrões de formatação e que o TypeScript não gere erros (npm run lint e npm run type-check). + diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Mocking.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Mocking.md" new file mode 100644 index 000000000..95b64633b --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Mocking.md" @@ -0,0 +1,49 @@ +Padrões de Mocking e Desenvolvimento Desacoplado (Front-End) +Este documento estabelece as regras para simular a API do Back-End no Front-End, permitindo que o desenvolvimento da interface e da experiência do usuário (UI/UX) ocorra em paralelo e seja validado rapidamente. + +1. Padrão de Contrato e Tipagem da API +1.1. Definição do Contrato da API (TypeScript Types) +ID: MOCK-CONTRACT-TYPES +Palavras-Chave: contrato api typescript interface mocking +Regra: Toda requisição e resposta de API DEVE ser primeiro definida em TypeScript Interfaces/Types em src/types/api.ts. Esta tipagem serve como o Contrato Oficial da API. O Front-End e o Back-End devem aderir a este contrato. +Exemplo: Antes de fazer a chamada, defina interface User { id: number; name: string; email: string; }. + +1.2. Mapeamento de Tipagem para Dados Mockados +ID: MOCK-DATA-STRUCTURE +Regra: Todos os dados mockados (simulados) DEVEM ser gerados de forma que correspondam exatamente às TypeScript Interfaces. Isso garante que, quando o Back-End real for conectado, não haja erros de tipagem no Front-End. + +2. Padrões de Simulação (Mocking) +2.1. Centralização do Mocking +ID: MOCK-TOOL-CENTRALIZATION +Palavras-Chave: mocking centralizado msw json-server +Regra: O Mocking de todas as rotas da API DEVE ser implementado em um módulo centralizado (ex: usando uma biblioteca como MSW - Mock Service Worker ou um serviço local simples em src/lib/mockApi.ts). + +2.2. Uso Obrigatório do Mocking no Desenvolvimento Local +ID: MOCK-ENV-DEV +Palavras-Chave: ambiente desenvolvimento mocking +Regra: Durante o desenvolvimento local (npm run dev), o Front-End DEVE consumir os dados mockados por padrão (lido de uma variável de ambiente como VITE_USE_MOCKING=true). +Justificativa: Isso permite que a IA gere a interface e o time júnior veja e valide a UI/UX imediatamente. + +2.3. Estrutura de Resposta Mockada (Padrão JSON) +ID: MOCK-RESPONSE-FORMAT +Regra: Os mocks de sucesso DEVEM retornar a resposta no formato JSON de sucesso definido (ID: CODE-API-SUCCESS), e os mocks de erro DEVEM retornar no formato de erro (ID: CODE-API-ERROR-HANDLING). +Exemplo de Mock de Sucesso (para uma lista de usuários): + +TypeScript + +{ + status: 'success', + message: 'Dados mockados com sucesso.', + data: [{ id: 1, name: 'Usuário Mock 1' }, { id: 2, name: 'Usuário Mock 2' }] +} +3. Integração com o Workflow de Aprovação +3.1. Chave de Toggle para Mocking +ID: MOCK-TOGGLE-KEY +Palavras-Chave: chave toggle mock +Regra: Deve haver uma chave de ambiente (ex: VITE_API_BASE_URL ou VITE_USE_MOCKING) que possa ser facilmente alternada para mudar o Front-End de Mock (Desenvolvimento/Aprovação Rápida) para API Real (Testes de Integração). +Requisito para Juniores: O Front-End gerado DEVE funcionar perfeitamente em ambos os modos, sem alterações no código dos componentes ou hooks. + +3.2. Mocks de Erro para UI/UX +ID: MOCK-ERROR-SIMULATION +Palavras-Chave: simulação de erro ui ux +Regra: O time Front-End DEVE criar mocks específicos para simular os erros de API mais comuns (400, 401, 500) para garantir que os estados de erro da UI/UX (ex: Toast de falha, redirecionamento para Login, mensagens de formulário) sejam exibidos corretamente e sejam amigáveis. \ No newline at end of file diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Requisitos.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Requisitos.md" new file mode 100644 index 000000000..e3a3b57ed --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Requisitos.md" @@ -0,0 +1,39 @@ +Padrões de Requisitos Simplificados (Front-End) +3. Padrões de Requisitos Simplificados + +3.1. Template de Requisito Funcional (RF) - Básico +ID: TEMPLATE-RF-BASICO-FE +Palavras-Chave: modelo requisito funcional basico frontend +Foco em clareza, na Interação do Usuário e nos Passos de Teste para verificação manual. + +Exemplo Modelo: +RF-XXX: [Módulo] - Título da Funcionalidade +Descrição (O que deve fazer): O usuário deve ser capaz de realizar o cadastro no sistema através do formulário na página de Login.tsx. +Regras de Negócio Chave (Front-End): + +O campo de e-mail deve ser validado para o formato padrão. + +A confirmação de senha deve ser idêntica à senha (validação local). + +Em caso de sucesso na API (201 Created), o Front-End deve redirecionar o usuário para a página de /dashboard. +Passos de Teste (Para Estagiário): + +[ ] Tentar enviar o formulário com o campo de e-mail vazio. Esperar a mensagem de erro local. + +[ ] Tentar cadastrar com senha diferente da confirmação. Esperar a mensagem de erro local. + +[ ] Tentar cadastrar com dados válidos. Verificar se o usuário é redirecionado para o dashboard. + +3.2. Template de Requisito Não-Funcional (RNF) - Foco em Usabilidade/Performance +ID: TEMPLATE-RNF-SIMPLES-FE +Palavras-Chave: modelo requisito nao-funcional junior usabilidade performance +Os RNFs devem ser simples e diretamente relacionados à experiência do usuário ou à performance básica. + +Exemplo Modelo: +RNF-XXX: [Categoria: Usabilidade] - Estados de Carregamento +Especificação: Todo botão que dispara uma chamada de API (POST/PUT) DEVE exibir um estado de carregamento (loading=true) para evitar cliques duplos e informar ao usuário que a requisição está em andamento. +Justificativa: Melhorar a experiência do usuário e evitar envio de dados duplicados. + +RNF-YYY: [Categoria: Performance] - Carregamento Lento (Lazy Loading) +Especificação: As rotas menos acessadas (ex: /admin-panel) DEVERÃO utilizar o Lazy Loading (carregamento sob demanda) para não atrasar o carregamento inicial da aplicação. +Justificativa: Reduzir o initial load time da aplicação. \ No newline at end of file diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Testes Unit\303\241rios.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Testes Unit\303\241rios.md" new file mode 100644 index 000000000..392053157 --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de Testes Unit\303\241rios.md" @@ -0,0 +1,21 @@ +Padrões de Testes Unitários (Front-End React) +Garantir que os juniores saibam como testar a UI e a lógica isoladamente. + +2.1. Ferramenta de Teste +ID: TEST-FE-TOOL +Palavras-Chave: testes frontend unitarios jest rtl +Regra: Utilizar Vitest como runner de testes e React Testing Library (RTL) como biblioteca principal para testes de componentes. Foco em testar o comportamento (o que o usuário vê) e não os detalhes de implementação do React. + +2.2. Testes para a Camada de Componentes (UI) +ID: TEST-FE-UI-COMPONENT +Palavras-Chave: testes componentes react rtl mock +Regra: Ao testar um componente em src/components/, é OBRIGATÓRIO utilizar mocking para simular funções passadas como props ou context (se aplicável). O teste deve verificar se o componente renderiza corretamente com as props fornecidas e se o evento correto é disparado (ex: fireEvent.click). + +2.3. Testes para a Camada de Lógica (Hooks/Lib) +ID: TEST-FE-LOGIC-HOOKS +Palavras-Chave: testes hooks lógica reativa +Regra: Testes de Hooks customizados devem usar a função renderHook do RTL (ou similar) para garantir que a lógica de estado e side effects esteja correta. O acesso à API (apiClient) DEVE ser mockado para que o teste seja unitário, verificando apenas o fluxo de sucesso/erro do hook. + +2.4. Localização dos Testes +ID: TEST-FE-LOCATION +Regra: Todos os arquivos de teste devem residir na mesma pasta que o código que está sendo testado (ex: src/components/Button.test.tsx) ou em uma pasta __tests__ adjacente, e ter o sufixo .test.tsx ou .test.ts. \ No newline at end of file diff --git "a/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de UI e UX.md" "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de UI e UX.md" new file mode 100644 index 000000000..8fae09807 --- /dev/null +++ "b/backend/Agents/AppAI/RequirementsPlanner/Knowledge/Docs/frontend/Padr\303\265es de UI e UX.md" @@ -0,0 +1,65 @@ +Padrões de Interface e Experiência do Usuário (UI/UX) +Este documento estabelece as regras básicas de design e interação para garantir uma aplicação com excelente usabilidade para o time júnior. O foco é na consistência, clareza e na minimização da frustração do usuário. + +1. Padrões de Formulários e Entradas +1.1. Estado de Feedback Imediato +ID: UX-FORM-FEEDBACK +Palavras-Chave: formulário feedback erro validação +Regra: A validação de campos (erros de formato, campos obrigatórios) DEVE ocorrer imediatamente (on-blur ou on-change) ANTES do envio para o Back-End (validação local no Front-End). O campo com erro DEVE ter sua borda destacada (ex: cor vermelha) e a mensagem de erro deve estar próxima ao campo. + +1.2. Rótulos e Placeholder +ID: UI-FORM-LABELS +Palavras-Chave: formulário rótulo placeholder +Regra: Todo campo de entrada DEVE ter um rótulo (Ay zzpchYoDqz$(P>2wZgevqPDXCY5gB5D7+WW~Q_pWaq~ZMyG=brfFf1oO(t?9yiQL0y z=zAdyWZTh%!FfcRg=FsBCB+vBu}U=yvY5mB)GV!($UK6XcxfO8@3IfFN>`a59>tvN z1O-$(*=2FRMH=bTSq}$&19kb1+bC)I3Afa3u1U~{&rQUe{H{VAZxZJTw(~(^_MN2Q zdk*#WS)LMDmXv7!R71q>C~uouZfJHUZJ-m)srpAZqt4kK?z#ildyckn+S<(6RwEFXH+2>GQhIb8Z04)=gKzP?EQO0IqdU{?=2L-N%a=i{Te8X@>S zh4V295G5@w^bc=QKwXE#ameL)?$c89gnN)dGEwOAAo`JiB(zleZr>i-4@&wX3$P?fI5&?^c0E|lLI^V!9%Pet91rWz?VGN)9WVy zs4t=4;35aadGMHZ>f2%^hML|Ppjk1gGR*A>+M$G7O=!U~>;^obRI`IEoz(jrGU-MZ z+>CfnE8)~^bCRsQr>Te0l4wx~H_F0lYNFB7GTeT}1FVGxy(xEofntBTuGnqcKl(SY~-Za&DNNFOJ_@@eZGs;NO0w+H^OnC?H%lP`A`ft%k(?_m zaB#hzMc8%1P$Ex6k_IZ94xz^Y4IOa>NW*|28j#LHTTQW+I}j)yL?G=ef({HMqC%d= zyMzH=2@o#-PVyK4T%KHy8!3-meH5|}=Wfh$HjZO%4FY5))?uYop)uSA0{P%7oSJ|K zo9SC-n2#abZQOJ>z)1RVv54c0t^f;tbAT(5S8blN0eUZs(WQ8f-U)Nq@=EsS@WFE| zT2_XE(3Y~@fk^g<_?Lm 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retrieve_backend_context + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger("RequirementsPlanner_logger") + + +# ============================================================================ +# OUTPUT PRINCIPAL +# ============================================================================ +class RequirementsPlanOutput(BaseModel): + """ + Output completo do agente de análise de requisitos técnicos. + """ + documentation_files_created: List[str] = Field(..., description="Documentação gerada", min_items=3) + + +async def RequirementsPlannerAppAgent( + OPENAI_API_KEY, + user_id, + tipo_app, + descricao, + user_content, + commit_language = 'pt', + model = "gpt-5-nano", + local_to_save = "./", + type_requirements='backend' + ): + os.environ['OPENAI_API_KEY'] = OPENAI_API_KEY + logger.info(f"Requirements Planner App Agent") + os.makedirs(os.path.join(os.path.dirname(__file__), 'Sessions'), exist_ok=True) + + total_usage = { + "input": 0, "cached": 0, "reasoning": 0, "output": 0, "total": 0 + } + logger.info(f"language {commit_language}") + + if commit_language == 'en': + prompt_system_direct = f""" + + """ + + elif commit_language == 'pt': + if type_requirements == "frontend": + name_chroma_store = "knowledge_requirementsplanner_frontend" + chroma_store = os.path.join(os.path.dirname(__file__), 'Knowledge', 'chroma_store_frontend') + session = SQLiteSession("agent_session_RequirementsPlanner_frontend_01", db_path=os.path.join(os.path.dirname(__file__), 'Sessions', f"session_frontend_{user_id}.db")) + + prompt_system_direct = f""" +# IDENTIDADE E PAPEL +Você é um Analista de Requisitos Técnicos Sênior especializado em Front-End e UX/UI. Seu papel é transformar descrições de produtos em **especificações técnicas detalhadas, profissionais e implementáveis** para aplicações web ou mobile. + +## OBJETIVO PRINCIPAL +Analisar o produto descrito e gerar documentação técnica completa contendo: +- Requisitos funcionais de interface e interação +- Arquitetura Front-End detalhada +- Stack tecnológica justificada (frameworks, bibliotecas, state management) +- Padrões de comunicação com APIs e integração com Back-End +- Considerações de performance, acessibilidade, responsividade e segurança no navegador +- Estimativas de complexidade por componente/módulo + +--- + +# INFORMAÇÕES DE ENTRADA + +## Dados do Projeto +- **Tipo de Aplicação**: {tipo_app} + - `saas`, `ecommerce`, `projeto`, `site`, `portfólio` +- **Descrição do Produto**: {descricao} +- **Diretório de Conhecimento**: {chroma_store} + +--- + +# FLUXO DE TRABALHO OBRIGATÓRIO + +## ETAPA 1: ANÁLISE DE CONTEXTO E PESQUISA + +### 1.1) Consultar Base de Conhecimento Front-End +```json +{{ +"retrieve_backend_context": {{ + "query": "melhores práticas front-end {tipo_app} UI/UX performance", + "k": 5, + "path": "{chroma_store}", + "name": "{name_chroma_store}" +}} +}} +```` + +### 1.2) Consultar Padrões Tecnológicos + +```json +{{ +"retrieve_backend_context": {{ + "query": "stack front-end {tipo_app} frameworks state management", + "k": 4, + "path": "{chroma_store}", + "name": "{name_chroma_store}" +}} +}} +``` + +### 1.3) Consultar Requisitos de Domínio + +```json +{{ +"retrieve_backend_context": {{ + "query": "[extraia palavras-chave de {descricao}] funcionalidades UI/UX", + "k": 4, + "path": "{chroma_store}", + "name": "{name_chroma_store}" +}} +}} +``` + + +## REGRAS DE QUALIDADE + +✅ Sempre: + +* Base decisões em dados retrieve_backend_context +* Justifique escolhas tecnológicas +* Documente trade-offs +* Exemplo de código real, claro e testável + +❌ Nunca: + +* Criar requisitos genéricos +* Ignorar performance, acessibilidade ou responsividade +* Sugerir frameworks sem justificativa técnica + +Execute TODAS as consultas acima antes de prosseguir para análise. + +--- + +## ETAPA 2: ANÁLISE E DECOMPOSIÇÃO + +2.1) Identificar Componentes e Layouts + +* Componentes principais (botões, formulários, tabelas, cards) +* Layouts e templates (grid, responsivo, breakpoints) +* Padrões de navegação e fluxo do usuário + +2.2) Classificação de Complexidade + +* Baixa: Componente simples sem lógica complexa (1-3 story points) +* Média: Formulários, validações, integração com APIs (5-8 story points) +* Alta: Dashboard, gráficos dinâmicos, animações complexas, SSR/SSG (13-21 story points) + +--- + +## ETAPA 3: ESPECIFICAÇÃO TÉCNICA DETALHADA + +3.1) Estrutura da Documentação + +A) REQUISITOS FUNCIONAIS (RF) + +* RF-001: [Componente] - Título do Requisito +* Descrição: Detalhe do comportamento esperado +* Critérios de Aceitação: + + * [ ] Critério 1 testável + * [ ] Critério 2 testável +* Prioridade: Crítica | Alta | Média | Baixa +* Complexidade: Baixa | Média | Alta +* Dependências: [Lista de RF-XXX] + +B) REQUISITOS NÃO-FUNCIONAIS (RNF) + +* Performance: Tempo de renderização, lazy loading, caching +* Acessibilidade: WCAG 2.2 compliance +* Responsividade: Mobile-first, breakpoints definidos +* Segurança: XSS, CSRF, input sanitization +* Manutenibilidade: Componentização, testes unitários (Jest/React Testing Library) + +C) ARQUITETURA FRONT-END + +* Decisões arquiteturais (ADR-001, ADR-002...) +* Estrutura de pastas modular +* Comunicação com APIs (fetch, axios, SWR, React Query) +* Estado global (Redux, Zustand, Context API) +* SSR/SSG se aplicável (Next.js, Nuxt, Remix) + +D) EXEMPLOS DE CÓDIGO + +* Estrutura de componente React/Vue/Svelte +* Hooks personalizados e exemplos de integração com API +* Styled-components / Tailwind / CSS Modules conforme stack + +E) TESTES E QA + +* Unit tests, Integration tests, E2E +* Ferramentas sugeridas: Jest, Cypress, Playwright +* Cobertura mínima e critérios de aceitação + +--- + +## ETAPA 4: ESTIMATIVAS E PRIORIZAÇÃO + +* Matriz MoSCoW +* Story points por módulo/componente +* Dependências e ordem de implementação (sprints) + +--- +ETAPA 5: SALVAMENTO DA DOCUMENTAÇÃO +5.1) Salvar Especificação Completa +json{{ +"autosave": {{ + "code": "# [Conteúdo completo da especificação técnica em Markdown]\n\n# Technical Requirements Document\n## Project Overview\n...", + "path": "{local_to_save}/docs/technical-requirements.md" +}} +}} +5.2) Salvar ADRs +json{{ +"autosave": {{ + "code": "# ADR-001: [Título]\n## Context\n...", + "path": "{local_to_save}/docs/adr/001-architecture-decision.md" +}} +}} + +5.5) Salvar Resumo Executivo (MARKDOWN Profissional) +json{{ +"autosave": {{ + "code": "conteudo completo Resumo Executivo Profissional ", + "path": "{local_to_save}/docs/requirements-summary.md" +}} +}} + + +CHECKLIST PRÉ-RESPOSTA +Antes de enviar o JSON final, confirme: + +Executei TODAS as consultas retrieve_backend_context (mínimo 3)? +Especifiquei TODOS os Requisitos Funcionais com critérios de aceitação? +Especifiquei Requisitos Não-Funcionais ? +Criei pelo menos 3 ADRs justificando decisões arquiteturais? +Salvei TODOS os documentos via autosave? +O JSON de resposta está válido e completo? + + """ + + + elif type_requirements == "backend": + name_chroma_store = "knowledge_requirementsplanner" + chroma_store = os.path.join(os.path.dirname(__file__), 'Knowledge', 'chroma_store') + session = SQLiteSession("agent_session_RequirementsPlanner_backend_01", db_path=os.path.join(os.path.dirname(__file__), 'Sessions', f"session_backend_{user_id}.db")) + + prompt_system_direct = f""" + # IDENTIDADE E PAPEL + Você é um Analista de Requisitos Técnicos Sênior especializado em arquitetura de software e engenharia de sistemas. Seu papel é transformar descrições de produtos em especificações técnicas detalhadas, profissionais e implementáveis. + + ## OBJETIVO PRINCIPAL + Analisar o produto descrito e gerar uma documentação técnica completa contendo: + - Requisitos funcionais e não-funcionais + - Arquitetura de sistema detalhada + - Stack tecnológica justificada + - Especificações de API e banco de dados + - Considerações de segurança, performance e escalabilidade + - Estimativas de complexidade por módulo + + --- + + # INFORMAÇÕES DE ENTRADA + + ## Dados do Projeto + - **Tipo de Aplicação**: {tipo_app} + - `saas`: Software como Serviço (multi-tenant, subscriptions) + - `ecommerce`: Plataforma de comércio eletrônico + - `projeto`: Sistema corporativo/interno + - `site`: Website institucional/marketing + - `portfólio`: Portfólio profissional/pessoal + + - **Descrição do Produto**: {descricao} + + + --- + + # FLUXO DE TRABALHO OBRIGATÓRIO + + ## ETAPA 1: ANÁLISE DE CONTEXTO E PESQUISA + + ### 1.1) Consultar Base de Conhecimento de Arquitetura + Antes de definir qualquer requisito, você DEVE buscar referências relevantes: + ```json + {{ + "retrieve_backend_context": {{ + "query": "arquitetura {tipo_app} melhores práticas padrões design", + "k": 5, + "path": "{chroma_store}", + "name": "{name_chroma_store}" + }} + }} + 1.2) Consultar Padrões Tecnológicos + json{{ + "retrieve_backend_context": {{ + "query": "stack tecnológica {tipo_app} escalabilidade segurança", + "k": 4, + "path": "{chroma_store}", + "name": "{name_chroma_store}" + }} + }} + 1.3) Consultar Requisitos de Domínio + json{{ + "retrieve_backend_context": {{ + "query": "[extraia palavras-chave de {descricao}] requisitos funcionalidades", + "k": 4, + "path": "{chroma_store}", + "name": "{name_chroma_store}" + }} + }} + Importante: Execute TODAS as consultas acima antes de prosseguir para a análise. + + ETAPA 2: ANÁLISE E DECOMPOSIÇÃO + 2.1) Análise de Domínio + Baseado em {tipo_app} e {descricao}, identifique: + + Entidades Principais (substantivos no domínio) + + Exemplo para ecommerce: Produto, Pedido, Cliente, Pagamento + + + Ações Críticas (verbos de negócio) + + Exemplo para ecommerce: cadastrar produto, processar pagamento, rastrear entrega + + + Regras de Negócio (lógica específica do domínio) + + Exemplo: "Desconto só pode ser aplicado se carrinho > $50" + + + Fluxos Críticos (user journeys principais) + + Exemplo: Navegação → Carrinho → Checkout → Confirmação + + + + 2.2) Classificação de Complexidade + Para cada funcionalidade identificada, classifique: + + Baixa: CRUD simples, sem lógica complexa (1-3 story points) + Média: Integrações externas, validações complexas (5-8 story points) + Alta: Processamento assíncrono, algoritmos complexos (13-21 story points) + + + ETAPA 3: ESPECIFICAÇÃO TÉCNICA DETALHADA + 3.1) Estrutura da Documentação + A) REQUISITOS FUNCIONAIS (RF) + Liste todos os requisitos funcionais no formato: + RF-001: [Módulo] - Título do Requisito + Descrição: Detalhe completo do que o sistema deve fazer + Critérios de Aceitação: + - [ ] Critério 1 testável e mensurável + - [ ] Critério 2 testável e mensurável + Prioridade: Crítica | Alta | Média | Baixa + Complexidade: Baixa | Média | Alta (com justificativa) + Dependências: [Lista de RF-XXX que devem ser implementados antes] + Exemplo: + RF-001: [Autenticação] - Sistema de Login com JWT + Descrição: Usuários devem poder autenticar via email/senha e receber token JWT válido por 24h + Critérios de Aceitação: + - [ ] Endpoint POST /api/auth/login aceita email e senha + - [ ] Token JWT contém user_id, roles e expiration + - [ ] Senha é validada com bcrypt (min 8 caracteres) + - [ ] Rate limiting de 5 tentativas por minuto por IP + Prioridade: Crítica + Complexidade: Média (integração JWT + rate limiting + validações) + Dependências: RF-002 (Cadastro de Usuário) + B) REQUISITOS NÃO-FUNCIONAIS (RNF) + RNF-001: [Categoria] - Título + Especificação: Métrica mensurável + Justificativa: Por que é necessário + Verificação: Como será testado + Categorias Obrigatórias: + + Performance + + Tempo de resposta API (ex: p95 < 200ms) + Throughput (ex: 1000 req/s) + Tempo de carregamento de página + + + Escalabilidade + + Usuários simultâneos suportados + Estratégia de horizontal scaling + Cache e CDN + + + Segurança + + Autenticação e autorização (RBAC, OAuth2) + Proteção contra OWASP Top 10 + Criptografia de dados sensíveis + Rate limiting e DDoS protection + + + Confiabilidade + + Uptime esperado (ex: 99.9%) + Estratégia de backup + Disaster recovery (RPO/RTO) + + + Manutenibilidade + + Cobertura de testes (ex: >80%) + Documentação de API (OpenAPI/Swagger) + Logging e monitoring + + + + C) ARQUITETURA DE SISTEMA + C.1) Decisões Arquiteturais + Para cada decisão, documente: + ADR-001: [Título da Decisão] + Contexto: Problema ou necessidade + Decisão: Escolha técnica feita + Alternativas Consideradas: [Lista de opções descartadas] + Consequências: Trade-offs e implicações + Exemplo: + ADR-001: Utilizar Arquitetura de Microserviços + Contexto: Sistema SaaS multi-tenant com módulos independentes (auth, billing, analytics) + Decisão: Adotar microserviços com comunicação via message broker (RabbitMQ) + Alternativas Consideradas: + - Monolito modular: descartado por dificuldade de escalonamento independente + - Serverless: descartado por vendor lock-in e cold start latency + Consequências: + + Escalabilidade independente por serviço + + Deploy independente (CI/CD por microserviço) + - Complexidade operacional aumentada (service discovery, distributed tracing) + - Necessidade de API Gateway e centralização de logs + C.2) Diagrama de Componentes + [Representação textual da arquitetura] + + Exemplo para SaaS: + ┌─────────────────┐ + │ API Gateway │ (Kong/Traefik) + └────────┬────────┘ + │ + ┌────┴────┬────────────┬────────────┐ + ▼ ▼ ▼ ▼ + ┌─────┐ ┌────────┐ ┌──────────┐ ┌─────────┐ + │Auth │ │Billing │ │Analytics │ │Notif. │ + │Svc │ │Svc │ │Svc │ │Svc │ + └──┬──┘ └───┬────┘ └────┬─────┘ └────┬────┘ + │ │ │ │ + └─────────┴────────────┴─────────────┘ + │ + ┌─────▼─────┐ + │ Message │ (RabbitMQ/Kafka) + │ Broker │ + └───────────┘ + C.3) Stack Tecnológica Justificada + json{{ + "backend": {{ + "linguagem": "Python 3.11", + "justificativa": "Ecossistema maduro para data processing, ML integrations", + "framework": "FastAPI", + "justificativa_framework": "Performance superior, async nativo, validação automática com Pydantic" + }}, + "banco_dados": {{ + "principal": "PostgreSQL 15", + "justificativa": "ACID compliance, JSONB para flexibilidade, extensões (PostGIS, pg_vector)", + "cache": "Redis 7", + "justificativa_cache": "Low latency (<1ms), suporte a pub/sub para real-time features" + }}, + "infraestrutura": {{ + "containers": "Docker + Kubernetes", + "justificativa": "Orquestração, auto-scaling, service mesh com Istio", + "ci_cd": "GitHub Actions", + "monitoring": "Prometheus + Grafana + ELK Stack" + }} + }} + D) ESPECIFICAÇÃO DE BANCO DE DADOS + D.1) Modelo de Dados + Para cada entidade principal: + sql-- Exemplo: Tabela de Usuários para SaaS + CREATE TABLE users ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + email VARCHAR(255) UNIQUE NOT NULL, + password_hash VARCHAR(255) NOT NULL, + full_name VARCHAR(255), + role VARCHAR(50) NOT NULL CHECK (role IN ('admin', 'user', 'viewer')), + tenant_id UUID NOT NULL REFERENCES tenants(id) ON DELETE CASCADE, + is_active BOOLEAN DEFAULT true, + email_verified_at TIMESTAMP, + last_login_at TIMESTAMP, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP + ); + + -- Índices para performance + CREATE INDEX idx_users_email ON users(email); + CREATE INDEX idx_users_tenant_id ON users(tenant_id); + CREATE INDEX idx_users_role ON users(role) WHERE is_active = true; + + -- Particionamento (se aplicável) + -- Estratégia: Particionar por tenant_id para isolar dados multi-tenant + D.2) Estratégias de Otimização + + Índices: [Justifique cada índice baseado em queries frequentes] + Particionamento: [Se tabela > 10M registros] + Desnormalização: [Onde necessário para performance, com justificativa] + + E) ESPECIFICAÇÃO DE API + E.1) Endpoints Principais + POST /api/v1/auth/login + Request Body: + {{ + "email": "string (format: email, required)", + "password": "string (minLength: 8, required)" + }} + Response 200: + {{ + "access_token": "string (JWT)", + "refresh_token": "string", + "expires_in": "number (seconds)", + "user": {{ + "id": "uuid", + "email": "string", + "role": "string" + }} + }} + Response 401: + {{ + "error": "invalid_credentials", + "message": "Email ou senha inválidos" + }} + Rate Limit: 5 req/min per IP + Authentication: None (public endpoint) + E.2) Padrões de API + + Versionamento: URL path (/api/v1/) + Paginação: Cursor-based para listas grandes + Filtros: Query params padrão REST + Ordenação: ?sort=field:asc|desc + Erros: RFC 7807 (Problem Details) + + F) SEGURANÇA + F.1) Autenticação e Autorização + Estratégia: JWT com refresh token rotation + - Access token: 15 minutos (stateless) + - Refresh token: 7 dias (stored em DB, revogável) + - RBAC com permissões granulares + - MFA obrigatório para admin roles + F.2) Proteções Implementadas + + Input validation (Pydantic schemas) + SQL Injection (ORM parametrizado) + XSS (Content Security Policy) + CSRF (SameSite cookies + CSRF tokens) + Rate limiting (por IP e por usuário) + Secrets management (HashiCorp Vault / AWS Secrets Manager) + Audit logs (quem/quando/o quê para ações críticas) + + G) OBSERVABILIDADE + G.1) Logging + python# Estrutura de log padrão (JSON structured logging) + {{ + "timestamp": "2025-10-07T10:30:00Z", + "level": "INFO", + "service": "auth-service", + "trace_id": "abc123", + "span_id": "def456", + "user_id": "uuid", + "action": "login_attempt", + "metadata": {{ + "ip": "192.168.1.1", + "user_agent": "Mozilla/5.0..." + }} + }} + G.2) Métricas + + RED metrics: Rate, Errors, Duration (por endpoint) + Infra metrics: CPU, Memory, Disk, Network + Business metrics: User signups, conversions, revenue + + G.3) Tracing + + Distributed tracing com OpenTelemetry + Integração com Jaeger/Zipkin + + + ETAPA 4: ESTIMATIVAS E PRIORIZAÇÃO + 4.1) Matriz de Priorização (MoSCoW) + Classifique cada RF em: + + Must Have: Requisitos críticos para MVP + Should Have: Importantes mas não bloqueantes + Could Have: Desejáveis se houver tempo + Won't Have: Fora do escopo atual + + 4.2) Estimativa de Esforço + Módulo: Autenticação + RF-001: Login JWT - 5 story points (3 dias) + RF-002: Cadastro - 3 story points (2 dias) + RF-003: Reset senha - 5 story points (3 dias) + RF-004: MFA - 8 story points (5 dias) + Total Módulo: 21 story points (13 dias) + 4.3) Dependências e Ordem de Implementação + Sprint 1 (Fundação): + 1. Setup infraestrutura (Docker, DB, Redis) + 2. Configuração base (settings, logging) + 3. RF-002 (Cadastro) → RF-001 (Login) + + Sprint 2 (Core Features): + 4. RF-005 (CRUD Entidade Principal) + 5. RF-010 (Business Logic Crítica) + ... + + ETAPA 5: SALVAMENTO DA DOCUMENTAÇÃO + 5.1) Salvar Especificação Completa + json{{ + "autosave": {{ + "code": "# [Conteúdo completo da especificação técnica em Markdown]\n\n# Technical Requirements Document\n## Project Overview\n...", + "path": "{local_to_save}/docs/technical-requirements.md" + }} + }} + 5.2) Salvar ADRs + json{{ + "autosave": {{ + "code": "# ADR-001: [Título]\n## Context\n...", + "path": "{local_to_save}/docs/adr/001-architecture-decision.md" + }} + }} + + 5.5) Salvar Resumo Executivo (MARKDOWN Profissional) + json{{ + "autosave": {{ + "code": "conteudo completo Resumo Executivo Profissional ", + "path": "{local_to_save}/docs/requirements-summary.md" + }} + }} + + + CHECKLIST PRÉ-RESPOSTA + Antes de enviar o JSON final, confirme: + + Executei TODAS as consultas retrieve_backend_context (mínimo 3)? + Especifiquei TODOS os Requisitos Funcionais com critérios de aceitação? + Especifiquei Requisitos Não-Funcionais para TODAS as 5 categorias? + Criei pelo menos 3 ADRs justificando decisões arquiteturais? + Defini o schema de banco de dados com índices e justificativas? + Documentei endpoints de API com request/response completos? + Estimei story points e duração para TODOS os módulos? + Salvei TODOS os documentos via autosave? + O JSON de resposta está válido e completo? + As instruções para o próximo agente são claras e acionáveis? + + + REGRAS DE QUALIDADE + ✅ SEMPRE: + + Base decisões técnicas em dados da retrieve_backend_context + Justifique TODAS as escolhas tecnológicas (sem "porque sim") + Forneça exemplos concretos (código SQL, schemas JSON, etc.) + Estime complexidade baseado em dependências e integrações + Documente trade-offs (não existe bala de prata) + Use nomenclatura padronizada (kebab-case para arquivos, snake_case para DB) + + ❌ NUNCA: + + Crie requisitos genéricos ("O sistema deve ser rápido") + Recomende tecnologias sem justificativa técnica + Omita requisitos de segurança ou observabilidade + Estime sem considerar dependências e complexidade + Use jargão sem explicar (ou explique acronyms na primeira menção) + + + DIRETRIZES POR TIPO DE APLICAÇÃO + SaaS: + + Foco: Multi-tenancy, billing, subscriptions, analytics + Crítico: Isolamento de dados por tenant, escalabilidade horizontal + + E-commerce: + + Foco: Catálogo, carrinho, checkout, pagamentos, logística + Crítico: Consistência de estoque, PCI DSS compliance, integração com gateways + + Projeto Corporativo: + + Foco: Workflows, aprovações, relatórios, integrações + Crítico: SSO/LDAP, auditoria, compliance (LGPD/GDPR) + + Site/Portfólio: + + Foco: Performance, SEO, conteúdo estático + Crítico: CDN, caching agressivo, Core Web Vitals + + + COMECE AGORA: Execute as 3 consultas retrieve_backend_context obrigatórias antes de qualquer análise. + """ + + imported_tools = [autosave, retrieve_backend_context] + + agent = Agent( + name="Agent Requirements Planner App", + instructions=prompt_system_direct, + model=model, + output_type=AgentOutputSchema(RequirementsPlanOutput, strict_json_schema=True), + model_settings=ModelSettings(include_usage=True), + tools=imported_tools + ) + result = await Runner.run(agent, user_content, max_turns=300, session=session) + plan = result.final_output + documentation_files_created = plan.documentation_files_created + # descricao = plan.descricao + # total_horas = plan.total_horas_estimadas + # sprints = plan.sprints + + usage = result.context_wrapper.usage + total_usage["input"] = usage.input_tokens + total_usage["cached"] = usage.input_tokens_details.cached_tokens + total_usage["reasoning"] = usage.output_tokens_details.reasoning_tokens + total_usage["output"] = usage.output_tokens + total_usage["total"] = usage.total_tokens + + logger.info(f"Agent Final Usage: {total_usage['total']} total tokens.") + return total_usage["total"], documentation_files_created + + + diff --git "a/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Arquitetura.md" "b/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Arquitetura.md" new file mode 100644 index 000000000..10a747d2f --- /dev/null +++ "b/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Arquitetura.md" @@ -0,0 +1,186 @@ +0. Padrões de Arquitetura Simplificada +Arquitetura Padrão: Monolito Simples (MVC/Camadas) +ID: ARQ-MONOLITO-SIMPLES +Palavras-Chave: arquitetura monolito simples mvc camadas +Padrão: Adotar o padrão de Camadas (Presentation -> Service -> Data/Repository) ou MVC (Model-View-Controller) para organizar o código. +Fluxo: O Flask (Presentation/Controller) chama a camada de Serviço (Service) para executar a lógica de negócio, que, por sua vez, usa a camada de Repositório (Data/Repository) para interagir com o PostgreSQL. +Vantagem: É fácil de navegar, testar e é a arquitetura inicial mais recomendada para aprender a base. + +Padrões de Convenção e Estrutura de Código (Back-End) +Este documento mapeia a estrutura de pastas do Back-End para as responsabilidades do código, garantindo que o time júnior saiba onde colocar cada tipo de lógica. + +1. Mapeamento da Estrutura de Módulos (Separation of Concerns) +A estrutura de Back-End/Modules implementa o padrão de Camadas de Serviço (Service Layer), separando as preocupações: + +Pasta + +Responsabilidade + +Descrição + +Padrões de Uso (ID RAG) + +Routes + +Interface (Controller) + +Contém os arquivos auth.py, user.py, etc., que definem as rotas (URL, métodos HTTP). A única responsabilidade é receber a requisição, validar a entrada (Pydantic), e chamar a camada de Service (Resolvers). NUNCA deve conter lógica de negócio ou acesso direto ao banco. + +STACK-BACK-FLASK, CODE-API-SUCCESS + +Resolvers + +Lógica de Negócio (Service) + +O coração da aplicação. Contém a lógica de negócio principal (ex: user_register.py, generate_invoice_pdf.py). Recebe dados validados da Routes, executa a regra de negócio e coordena chamadas a Geters, Savers e Helpers. + +ARQ-BUSINESS-SERVICE, CODE-API-ERROR-HANDLING + +Geters + +Acesso à Leitura (Repository) + +Funções puras para ler dados de PostgreSQL (via Flask-SQLAlchemy) ou MongoDB (logs/auditoria). Ex: get_user_by_email(). + +STACK-DB-POSTGRES, CODE-DB-READ-GET + +Savers + +Acesso à Escrita (Repository) + +Funções puras para escrever ou atualizar dados no PostgreSQL ou MongoDB. Ex: create_new_user(), log_action(). Contém o db.session.commit(). + +STACK-DB-POSTGRES, STACK-DB-MONGO-LOGS, CODE-DB-CREATE-COMMIT + +Helpers + +Funções Utilitárias + +Código sem estado, reutilizável, que não contém lógica de negócio ou acesso ao banco. Ex: format_date(), validate_cpf(), calculate_discount(). + +- + +Config + +Configuração da Aplicação + +Inicialização de módulos (Flask, SQLAlchemy, MongoDB, etc.) e carregamento de variáveis de ambiente. + +- + +2. Convenções de Nomenclatura e Arquivos +2.1. Nomenclatura de Arquivos +ID: CONV-FILE-NAMING +Regra: Usar snake_case para todos os nomes de arquivos Python e pastas, sendo descritivo. + +Bom: user_registration_resolver.py, get_all_products.py + +Ruim: UserRegistration.py, Getallproducts.py + +2.2. Nomenclatura de Funções +ID: CONV-FUNC-NAMING +Regra: Funções devem usar verbos no infinitivo para indicar a ação que realizam (ex: get, create, update, send, generate). + +Funções em Resolvers: Devem descrever o processo: register_new_user(), process_order(). + +Funções em Geters/Savers: Devem ser diretas ao DB: get_user_by_id(), save_new_log(). + +2.3. Uso de try...except +ID: CONV-TRY-EXCEPT +Regra: O bloco try...except DEVE ser usado primariamente na camada Resolvers (Service) e NÃO nas rotas. As rotas devem apenas capturar a exceção tratada e mapear para a resposta HTTP (ex: 400 Bad Request). + +Anti-Padrão: + +# Módulos/Routes/user.py (ANTI-PADRÃO) +@user_bp.route('/register', methods=['POST']) +def register(): + try: + # Lógica de negócio ou DB aqui + ... + except Exception as e: + return jsonify({"error": str(e)}), 500 + +3. arquitetura desejavel: +``` +nomedoprojeto\ +├── Readme.md +├── docker-compose.yml +└── .github\ + └── workflows\ + ├── deploy.yml +└── Front-End\ + └── vite.config.ts + └── tsconfig.node.json + └── tsconfig.json + └── tsconfig.app.json + └── tailwind.config.ts + └── postcss.config.js + └── package.json + └── Dockerfile + └── package-lock.json + └── index.html + └── eslint.config.js + └── components.json + └── .env + └── public\ + └── src\ + └── components\ + ├── ... + └── constants\ + ├── ... + └── contexts\ + ├── ... + └── hooks\ + ├── ... + └── lib\ + ├── ... + └── pages\ + ├── Login.tsx + ├── ... + └── App.css + └── App.tsx + └── index.css + └── main.tsx + └── vite-env.d.ts + +└── Back-End\ + ├── requirements.txt + ├── Dockerfile + ├── api.py + └── Keys\ + ├── keys.env + └── Models\ + └── mongoDB\ + ├── audit.py + ├── logs.py + └── postgreSQL\ + ├── user.py + ├── ... + └── Modules\ + └── Config\ + ├── setup.py + ├── ... + └── Geters\ + ├── logs.py + ├── user_by_access_token.py + ├── user_by_email.py + ├── ... + └── Helpers\ + ├── ... + └── Resolvers\ + ├── generate_invoice_pdf.py + ├── send_email.py + ├── user_identifier.py + ├── ... + └── Routes\ + ├── auth.py + ├── ... + └── Savers\ + ├── log_action.py + ├── log_audit.py + ├── log_system_health.py + ├── ... + └── Updaters\ + ├── ... + +``` diff --git "a/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Comunica\303\247\303\243o.md" "b/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Comunica\303\247\303\243o.md" new file mode 100644 index 000000000..de8497e07 --- /dev/null +++ "b/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Comunica\303\247\303\243o.md" @@ -0,0 +1,35 @@ +1. Padrão de Comunicação (Front-End) + +1.1. Configuração de Requisições HTTP + +ID: FRONT-API-COMMUNICATION +Palavras-Chave: front-end comunicação api axios fetch base url +Regra: O Front-End DEVE usar uma única instância de cliente HTTP (como Axios ou Fetch API) configurada com uma BASE_URL (lida do .env do Front-End) e com o cabeçalho Content-Type: application/json padrão. + +1.2. Tratamento de Erro na Comunicação (Front-End) + +ID: FRONT-API-ERROR-HANDLE +Palavras-Chave: front-end tratamento erro 400 401 +Regra: O Front-End DEVE capturar os status HTTP e reagir de acordo, utilizando o formato JSON de erro definido no Back-End (CODE-API-ERROR-HANDLING). + +Status Code + +Ação Obrigatória do Front-End + +401 Unauthorized + +Redirecionar o usuário para a página de Login.tsx e limpar o token localmente. + +400 Bad Request + +Exibir a mensagem de erro (campo message no JSON de erro) diretamente no formulário, de forma amigável ao usuário. + +404 Not Found + +Exibir mensagem genérica de "Recurso não encontrado" ou redirecionar para uma página de erro 404. + +1.3. Padrão de Autenticação (Token) + +ID: FRONT-API-AUTH-TOKEN +Palavras-Chave: front-end autenticação token jwt bearer +Regra: Após o login, o token de acesso (JWT) DEVE ser armazenado em um local seguro (ex: localStorage ou sessionStorage com as devidas precauções) e enviado em TODAS as requisições subsequentes no cabeçalho Authorization: Bearer . \ No newline at end of file diff --git "a/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Cont\303\252ineres.md" "b/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Cont\303\252ineres.md" new file mode 100644 index 000000000..d954e079a --- /dev/null +++ "b/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Cont\303\252ineres.md" @@ -0,0 +1,31 @@ +1. Padrões de Contêineres (Docker) + +1.1. Dockerfile do Back-End (Flask) + +ID: DEVOPS-DOCKER-BACK +Palavras-Chave: dockerfile backend flask python otimizacao +Regra: O Dockerfile do Back-End DEVE ser otimizado para o Python, utilizando multi-stage build (se possível) ou, no mínimo, um .dockerignore para excluir arquivos desnecessários (.git, __pycache__). + +Etapas Cruciais: + +Começar de uma imagem oficial de Python (ex: python:3.11-slim-buster). + +Copiar requirements.txt e instalá-los antes de copiar o código-fonte (para aproveitar o cache do Docker). + +Definir o ENTRYPOINT para executar o api.py ou um script de inicialização. + +1.2. Docker Compose para Ambiente Local + +ID: DEVOPS-COMPOSE-LOCAL +Palavras-Chave: docker-compose ambiente local postgres mongodb +Regra: O docker-compose.yml é o padrão para o desenvolvimento local. Ele DEVE orquestrar no mínimo três serviços: + +web: O contêiner Flask (Back-End). + +db: O contêiner PostgreSQL. + +mongo: O contêiner MongoDB. + +front: O contêiner Front-End (React/Vite) para simular o ambiente de produção. + +Regra de Conexão: O Back-End DEVE usar os nomes dos serviços definidos no docker-compose (ex: postgres://user:pass@db:5432/app) e NUNCA localhost. \ No newline at end of file diff --git "a/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de C\303\263digo.md" "b/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de C\303\263digo.md" new file mode 100644 index 000000000..f7d47f64b --- /dev/null +++ "b/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de C\303\263digo.md" @@ -0,0 +1,113 @@ +Padrões de Código Essenciais (Flask e SQLAlchemy) + +Esta documentação fornece o "como fazer" para o time de desenvolvimento, garantindo que os requisitos gerados pelo agente sejam implementados de forma consistente e com boas práticas básicas na stack Flask/PostgreSQL. + +1. Padrão de Resposta e Erro da API (JSON) + +1.1. Resposta de Sucesso Padrão + +ID: CODE-API-SUCCESS +Palavras-Chave: flask resposta padrao json 200 201 +Regra: Todas as respostas de sucesso DEVERÃO ser em formato JSON, encapsulando o objeto de dados. + +Criação (POST): Usar status 201 Created. + +Leitura/Atualização (GET/PUT): Usar status 200 OK. + +Exemplo de Corpo de Resposta (200 OK): + +{ + "status": "success", + "message": "Operação realizada com sucesso.", + "data": { + "id": 101, + "nome": "Usuário Teste", + "email": "teste@exemplo.com" + } +} + + +1.2. Tratamento de Erro Padrão + +ID: CODE-API-ERROR-HANDLING +Palavras-Chave: flask tratamento erro 400 404 500 +Regra: Em caso de erro, o status HTTP DEVE refletir a natureza do problema, e a resposta DEVE conter a chave "error". + +Status Code + +Causa Comum + +Descrição para o Agente + +400 Bad Request + +Falha de validação de dados (ex: e-mail inválido, campo obrigatório faltando). + +Gerar requisito para validar a entrada antes de chamar o Service. + +401 Unauthorized + +Token de acesso inválido ou ausente. + +Gerar requisito para implementar um decorador de autenticação. + +404 Not Found + +Recurso não encontrado (ex: GET /usuarios/999 que não existe). + +Gerar requisito para tratar o erro "Resource Not Found" no Service layer. + +500 Internal Server Error + +Erro inesperado no servidor. + +Gerar requisito para um bloco try/except robusto na camada de Service. + +2. Padrões CRUD com Flask-SQLAlchemy + +2.1. Padrão de Leitura (Repository/Data Layer) + +ID: CODE-DB-READ-GET +Palavras-Chave: sqlalchemy leitura find_by_id orm get +Regra: Usar session.get(Model, id) para buscar por chave primária. +Anti-Padrão a evitar: Nunca expor o objeto de banco de dados diretamente ao Controller. Sempre mapear para um DTO (Data Transfer Object) simples ou um dicionário. + +2.2. Padrão de Criação e Commit + +ID: CODE-DB-CREATE-COMMIT +Palavras-Chave: sqlalchemy criacao add commit +Regra: A criação de novos registros DEVE seguir o padrão novo_obj = Model(**dados); db.session.add(novo_obj); db.session.commit(). + +2.3. Padrão de Logs Assíncronos (MongoDB) + +ID: CODE-DB-LOGS-MONGO +Palavras-Chave: mongodb logs assincronos +Regra: Logs de eventos não críticos (auditoria de acesso, erros não fatais) DEVERÃO ser enviados para o MongoDB. A chamada ao MongoDB deve ser non-blocking (se possível com thread ou pool), para não atrasar a resposta da API principal (PostgreSQL/Flask). + +Exemplo de Estrutura de Log (MongoDB): + +{ + "timestamp": "2025-10-07T10:00:00Z", + "user_id": 101, + "action": "LOGIN_SUCCESS", + "ip_address": "192.168.1.1", + "details": { + "device": "Mobile", + "browser": "Chrome" + } +} + + +3. Segurança Essencial para Juniores + +3.1. Validação de Entrada de Dados (Input Validation) + +ID: SEC-INPUT-VALIDATION +Palavras-Chave: segurança validacao pydantic +Regra: Toda entrada de dados (corpo da requisição, parâmetros de query) DEVE ser validada imediatamente no Controller/View com uma biblioteca como o Pydantic ou similar antes de chegar na camada de Service. Isso previne injeções e garante a integridade dos tipos de dados. + +3.2. Senhas Seguras (Hashing) + +ID: SEC-PASSWORD-HASH +Palavras-Chave: segurança hash de senha bcrypt +Regra: Senhas DEVERÃO ser armazenadas com hashing forte. O uso de Bcrypt é obrigatório. NUNCA armazenar senhas em texto puro ou com hash MD5/SHA-1. A verificação da senha deve ser feita pelo hash \ No newline at end of file diff --git "a/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Integra\303\247\303\243o Cont\303\255nua.md" "b/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Integra\303\247\303\243o Cont\303\255nua.md" new file mode 100644 index 000000000..afd27cff9 --- /dev/null +++ "b/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Integra\303\247\303\243o Cont\303\255nua.md" @@ -0,0 +1,17 @@ +2. Padrões de Integração Contínua (CI/CD) +2.1. Arquivo de Deploy (deploy.yml) +ID: DEVOPS-CI-DEPLOY +Palavras-Chave: ci/cd github actions deploy.yml +Regra: O pipeline de CI/CD (localizado em .github/workflows/deploy.yml) DEVE ter, no mínimo, as seguintes etapas antes de qualquer deploy: + +Build do Back-End: Instalar dependências e garantir que o Dockerfile possa ser construído. + +Testes: Executar os testes unitários (TEST-PY-TOOL) na camada de Resolvers e Geters/Savers. + +Lint/Formatação: Garantir que o código siga os padrões de formatação (ex: black para Python). + +2.2. Migrações de Banco de Dados +ID: DEVOPS-DB-MIGRATIONS +Palavras-Chave: migracao banco dados flask alembic flyway +Regra: Toda alteração no Models/postgreSQL/ DEVE ser acompanhada de um script de migração (ex: usando Alembic para Flask-SQLAlchemy). +Requisito de CI/CD: O pipeline DEVE rodar as migrações automaticamente ANTES de iniciar a nova versão do Back-End. NUNCA permitir que juniores alterem o banco de dados de produção manualmente. \ No newline at end of file diff --git "a/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Requisitos.md" "b/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Requisitos.md" new file mode 100644 index 000000000..61669b3e6 --- /dev/null +++ "b/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Requisitos.md" @@ -0,0 +1,37 @@ +3. Padrões de Requisitos Simplificados +3.1. Template de Requisito Funcional (RF) - Básico +ID: TEMPLATE-RF-BASICO +Palavras-Chave: modelo requisito funcional basico +Foco em clareza e nos Passos de Teste para verificação manual. + +Exemplo Modelo: +RF-XXX: [Módulo] - Título da Funcionalidade +Descrição (O que deve fazer): O usuário deve ser capaz de realizar o cadastro no sistema. +Regras de Negócio Chave: + +O e-mail deve ser único no sistema (verificar no PostgreSQL). + +A senha deve ter no mínimo 8 caracteres. + +Após o cadastro, o usuário deve ser redirecionado para a página de login. +Passos de Teste (Para Estagiário): + +[ ] Tentar cadastrar com um e-mail já existente. Esperar erro 400. + +[ ] Cadastrar com senha de 6 caracteres. Esperar mensagem de erro. + +[ ] Cadastrar com dados válidos. Verificar se o registro aparece na tabela usuarios do PostgreSQL. + +3.2. Template de Requisito Não-Funcional (RNF) - Foco em Usabilidade/Segurança +ID: TEMPLATE-RNF-SIMPLES +Palavras-Chave: modelo requisito nao-funcional junior usabilidade +Os RNFs devem ser simples e diretamente relacionados à experiência do usuário ou à segurança básica. + +Exemplo Modelo: +RNF-XXX: [Categoria: Usabilidade] - Mensagens de Erro +Especificação: Todas as mensagens de erro (validação de formulário ou API) DEVEM ser amigáveis e escritas em Português. +Justificativa: Garantir que o usuário entenda o problema e saiba como corrigi-lo. + +RNF-YYY: [Categoria: Segurança] - Logs de Acesso +Especificação: Toda tentativa de login (sucesso ou falha) DEVE gerar um log (IP, timestamp, status) no MongoDB para fins de auditoria básica. +Justificativa: Rastrear atividades suspeitas. \ No newline at end of file diff --git "a/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Testes Unit\303\241rios.md" "b/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Testes Unit\303\241rios.md" new file mode 100644 index 000000000..0b3725165 --- /dev/null +++ "b/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Padr\303\265es de Testes Unit\303\241rios.md" @@ -0,0 +1,30 @@ +2. Padrões de Testes Unitários (Back-End Python) + +Garantir que os juniores saibam como testar as camadas separadas é o maior impulsionador de qualidade em um projeto monolítico. + +2.1. Ferramenta de Teste + +ID: TEST-PY-TOOL +Palavras-Chave: testes python unitarios pytest +Regra: Utilizar o pytest como framework de testes unitários padrão. + +2.2. Testes para a Camada de Serviço (Resolvers) + +ID: TEST-PY-RESOLVER-MOCK +Palavras-Chave: testes resolvers service mocking +Regra: Ao testar um arquivo em Modules/Resolvers/, é OBRIGATÓRIO utilizar mocking para simular as respostas das funções de acesso ao banco de dados (Geters e Savers). O teste deve verificar apenas a lógica de negócio (ex: o cálculo, a validação de regras). + +Exemplo: Para testar Resolvers/process_order.py, o teste deve simular que Savers/save_order.py retornou sucesso, sem tocar no PostgreSQL. + +2.3. Testes para as Camadas de Dados (Geters/Savers) + +ID: TEST-PY-DB-INTEGRATION +Palavras-Chave: testes geters savers banco dados integration +Regra: Testes de Geters e Savers devem ser considerados testes de integração (unitários) e DEVERIAM (se possível no ambiente de CI/CD) rodar contra um banco de dados temporário ou em memória para garantir que as queries SQL/ORM estão corretas. + +Alternativa Simples: Para juniores, o teste mais básico é garantir que, ao chamar a função Savers/save_order(), o objeto correto do ORM é criado e a sessão é chamada para adição. + +2.4. Localização dos Testes + +ID: TEST-PY-LOCATION +Regra: Todos os arquivos de teste devem residir em uma pasta separada (ex: Back-End/tests/) e ter o prefixo test_ no nome (ex: test_user_resolver.py). \ No newline at end of file diff --git "a/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Stack Tecnol\303\263gica.md" "b/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Stack Tecnol\303\263gica.md" new file mode 100644 index 000000000..61be75d39 --- /dev/null +++ "b/backend/Agents/AppAI/SprintsPlanner/Knowledge/Docs/Stack Tecnol\303\263gica.md" @@ -0,0 +1,21 @@ +1. Stack Tecnológica Padrão e Justificativas +1.1. Backend para Início Rápido e Clareza +ID: STACK-BACK-FLASK +Palavras-Chave: stack backend python flask blueprint api +Decisão: Python com framework Flask. +Justificativa (Simplicidade): Flask é um micro-framework com pouca "magia" (convenções), permitindo que o desenvolvedor júnior entenda o fluxo de requisição e resposta rapidamente. +Estrutura de API: Utilizar Flask Blueprints para organizar a API por módulos (ex: blueprint_usuarios, blueprint_produtos), mantendo o código limpo e o roteamento claro. + +1.2. Banco de Dados Relacional (Transacional) +ID: STACK-DB-POSTGRES +Palavras-Chave: stack db postgresql flask_sqlalchemy dados transacionais +Decisão: PostgreSQL com ORM Flask-SQLAlchemy. +Justificativa (ACID): PostgreSQL é robusto e gratuito, garantindo integridade e atomicidade dos dados transacionais (pedidos, perfis, etc.). +Justificativa (ORM): O Flask-SQLAlchemy abstrai a complexidade do SQL, permitindo que juniores interajam com o banco de dados usando objetos Python (Modelos), o que acelera o desenvolvimento e reduz erros de SQL. + +1.3. Banco de Dados Não Relacional (Logs e Eventos) +ID: STACK-DB-MONGO-LOGS +Palavras-Chave: stack db mongodb logs auditoria eventos +Decisão: MongoDB para armazenamento de Logs, Auditoria e Eventos não estruturados. +Justificativa (Flexibilidade): Documentos JSON (BSON) são ideais para logs, pois o schema de um log pode mudar sem afetar a aplicação principal. Não é necessário definir schemas complexos para dados não críticos. +Regra de Ouro: NUNCA armazenar dados transacionais ou críticos para o negócio no MongoDB. \ No newline at end of file diff --git a/backend/Agents/AppAI/SprintsPlanner/Knowledge/_Test_create_embedings.py b/backend/Agents/AppAI/SprintsPlanner/Knowledge/_Test_create_embedings.py new file mode 100644 index 000000000..e5d49aebf --- /dev/null +++ b/backend/Agents/AppAI/SprintsPlanner/Knowledge/_Test_create_embedings.py @@ -0,0 +1,148 @@ +""" +Script: index_skeleton.py +Função: Indexar automaticamente todos os arquivos do esqueleto backend (core/, services/, routes/, etc) +para o vetor store Chroma (./chroma_store). + +Requisitos: + pip install openai openai-agents chromadb +Execução: + python index_skeleton.py +""" + +import os +import sys +import openai +import chromadb +from chromadb.config import Settings +from pathlib import Path +import os +from agents import Agent, Runner, function_tool, SQLiteSession +import openai +import chromadb +from chromadb.config import Settings +from dotenv import load_dotenv +from openai import OpenAI +from dotenv import load_dotenv + +os.chdir(os.path.join(os.path.dirname(__file__))) +load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), 'keys.env')) + +OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY") +openai.api_key = OPENAI_API_KEY +client = OpenAI(api_key=OPENAI_API_KEY) +OPENAI_API_KEY = os.getenv("OPENAI_API_KEY") +if not OPENAI_API_KEY: + print("❌ ERRO: variável OPENAI_API_KEY não definida.") + sys.exit(1) + +openai.api_key = OPENAI_API_KEY + +# diretórios padrão do seu backend +TARGET_DIRS = ["Docs"] + +# extensões de código relevantes +ALLOWED_EXTS = [".py", ".json", ".yml", ".yaml", ".toml", ".md"] + +# tamanho máximo por arquivo em bytes (para evitar binários ou logs enormes) +MAX_FILE_SIZE = 200_000 # ~200 KB + +# diretório base +BASE_DIR = Path(__file__).resolve().parent + + +# ---------- 1) Indexador simples: chunk + embeddings -> Chroma ---------- +def chunk_text(text, max_chars=1000): + # simples: quebrar por parágrafos ou janelas deslizantes + paragraphs = [p.strip() for p in text.split("\n\n") if p.strip()] + chunks = [] + cur = "" + for p in paragraphs: + if len(cur) + len(p) + 1 > max_chars: + if cur: + chunks.append(cur) + cur = p + else: + cur = (cur + "\n\n" + p).strip() if cur else p + if cur: chunks.append(cur) + return chunks + + + +def embed_texts(texts): + response = client.embeddings.create( + model="text-embedding-3-small", + input=texts + ) + return [item.embedding for item in response.data] + +def build_or_update_index(doc_id, full_text, chroma_dir="./chroma_store", name="backend_skeleton"): + client = chromadb.PersistentClient(path=chroma_dir) + + collection = client.get_or_create_collection(name=name) + + # divide e embeda + chunks = chunk_text(full_text, max_chars=800) + embeddings = embed_texts(chunks) + ids = [f"{doc_id}__{i}" for i in range(len(chunks))] + metadatas = [{"doc_id": doc_id, "chunk_index": i} for i in range(len(chunks))] + + collection.add( + documents=chunks, + embeddings=embeddings, + ids=ids, + metadatas=metadatas + ) + print(f"Indexed {len(chunks)} chunks from {doc_id}") + +def collect_files(base_dir: Path): + """Percorre os diretórios alvo e retorna lista de arquivos válidos""" + all_files = [] + for folder in TARGET_DIRS: + path = base_dir / folder + if not path.exists(): + print(f"⚠️ Diretório {folder}/ não encontrado, ignorando...") + continue + + for root, _, files in os.walk(path): + for f in files: + full_path = Path(root) / f + if full_path.suffix.lower() not in ALLOWED_EXTS: + continue + if full_path.stat().st_size > MAX_FILE_SIZE: + print(f"⚠️ Ignorando arquivo muito grande: {full_path.name}") + continue + if "__pycache__" in full_path.parts or f.startswith("."): + continue + all_files.append(full_path) + return all_files + + +def index_repository(name): + """Percorre todos os arquivos e adiciona ao índice""" + files = collect_files(BASE_DIR) + if not files: + print("❌ Nenhum arquivo encontrado para indexar.") + return + + total_chunks = 0 + print(f"📂 Encontrados {len(files)} arquivos para indexar...") + + for file_path in files: + try: + with open(file_path, "r", encoding="utf-8") as f: + content = f.read().strip() + if not content: + continue + doc_id = str(file_path.relative_to(BASE_DIR)) + build_or_update_index(doc_id, content, name=name) + print(f"✅ Indexado: {doc_id}") + except Exception as e: + print(f"⚠️ Falha ao processar {file_path}: {e}") + + print("✅ Indexação concluída com sucesso!") + print(f"🧠 Dados salvos no diretório: ./chroma_store") + + +if __name__ == "__main__": + name = "knowledge_requirementsplanner" + index_repository(name) diff --git a/backend/Agents/AppAI/SprintsPlanner/Knowledge/_Test_embedings.py b/backend/Agents/AppAI/SprintsPlanner/Knowledge/_Test_embedings.py new file mode 100644 index 000000000..237b6eb88 --- /dev/null +++ b/backend/Agents/AppAI/SprintsPlanner/Knowledge/_Test_embedings.py @@ -0,0 +1,57 @@ +# requirements: openai, openai-agents, chromadb, tiktoken (opcional) +# pip install openai openai-agents chromadb + +import os +from agents import Agent, Runner, function_tool, SQLiteSession +import openai +import chromadb +from chromadb.config import Settings +from dotenv import load_dotenv +from openai import OpenAI + + +os.chdir(os.path.join(os.path.dirname(__file__))) +load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), '../', '../', '../', '../', 'Keys', 'keys.env')) + +OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY") +openai.api_key = OPENAI_API_KEY +client = OpenAI(api_key=OPENAI_API_KEY) + +# ---------- 2) Tool retriever: função registrada no SDK ---------- +@function_tool +def retrieve_backend_context(query: str, k: int = 4) -> str: + client_chroma = chromadb.PersistentClient(path="./chroma_store") + collection = client_chroma.get_collection("backend_skeleton") + + q_emb = client.embeddings.create( + model="text-embedding-3-small", + input=[query] + ).data[0].embedding + + results = collection.query( + query_embeddings=[q_emb], + n_results=k, + include=["documents", "metadatas"] + ) + + docs = results["documents"][0] + joined = "\n\n---\n\n".join(docs) + return f"Contexto recuperado (top {k}):\n\n{joined}" + +# # ---------- 3) Agente + sessão + runner ---------- +# agent = Agent( +# name="BackendExpert", +# instructions="Você é um especialista backend. Use as ferramentas quando precisar recuperar regras/estrutura do projeto.", +# tools=[retrieve_backend_context] +# ) + +# # usar SQLiteSession (memória persistente entre turns) +# session = SQLiteSession("agent_session_backend_01", db_path="embeddings.db") + +# # entrada do usuário +# user_input = "Como eu crio o endpoint de login seguindo a stack padrão do projeto?" + +# # rodar (Runner vai permitir tool calls automaticamente) +# result = Runner.run_sync(agent, user_input, session=session, max_turns=6) + +# print("Resposta final do agente:\n", result.final_output) diff --git a/backend/Agents/AppAI/SprintsPlanner/Knowledge/chroma_store/9c518196-15aa-4b84-9773-595109289dd4/data_level0.bin b/backend/Agents/AppAI/SprintsPlanner/Knowledge/chroma_store/9c518196-15aa-4b84-9773-595109289dd4/data_level0.bin new file mode 100644 index 0000000000000000000000000000000000000000..4975f180e444b0c05e92c3d7adb092735fc1c844 GIT binary patch literal 628400 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/dev/null +++ b/backend/Agents/AppAI/SprintsPlanner/ai.py @@ -0,0 +1,297 @@ +# Back-End\Agents\GitContextLayer\ai.py +from agents import Agent, Runner, ModelSettings, SQLiteSession +import logging +import os +from pydantic import BaseModel +from typing import List +from Modules.Helpers.EgetTools import Egetoolsv2 + +from Functions.autosave.autosave import autosave +from Functions.retrieve_backend_context.retrieve_backend_context import retrieve_backend_context +from Functions.task_sheduler.task_sheduler import task_sheduler +from Functions.autogetcurrenttime.autogetcurrenttime import autogetcurrenttime + + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger("SprintsPlanner_logger") + + +class SprintTaskBlock(BaseModel): + intervalo_horas: str # ex: "1-2" + titulo: str # ex: "MVP Base" + tarefas: List[str] # lista de tarefas técnicas + +class SprintsPlanOutput(BaseModel): + tipo_app: str # ex: "saas" + descricao: str # breve descrição do app + total_horas_estimadas: int # soma das horas do plano + sprints: List[SprintTaskBlock] # lista de blocos de horas + +class SprintsPlanOutput2(BaseModel): + caminho_do_arquivo: str + +async def SprintsPlannerAppAgent( + OPENAI_API_KEY, + user_id, + tipo_app, + descricao, + saved_files, + commit_language = 'pt', + model = "gpt-5-nano", + local_to_save = "./" + ): + os.environ['OPENAI_API_KEY'] = OPENAI_API_KEY + logger.info(f"Sprints Planner App Agent") + os.makedirs(os.path.join(os.path.dirname(__file__), 'Sessions'), exist_ok=True) + name_chroma_store = "knowledge_requirementsplanner" + chroma_store = os.path.join(os.path.dirname(__file__), 'Knowledge', 'chroma_store') + + total_usage = { + "input": 0, "cached": 0, "reasoning": 0, "output": 0, "total": 0 + } + logger.info(f"language {commit_language}") + + files = [] + contents = [] + os.chdir(local_to_save) + for md in saved_files: + with open(md, "r", encoding='utf-8') as file: + mdcontent = file.read() + files.append(md) + contents.append(mdcontent) + + user_content = f""" + files: + {files} + + contents: + {contents} + + """ + + if commit_language == 'en': + prompt_system_direct = f""" + + """ + + elif commit_language == 'pt': + prompt_system_direct = f""" +# IDENTIDADE E PAPEL +Você é um **Tutor de Sprints Técnicas**, atuando como Analista de Requisitos Técnicos Sênior e Engenheiro de Software Sênior. +Seu papel é **organizar, distribuir e documentar as tarefas técnicas existentes** em um **plano de sprints detalhado, sequencial e executável**, **sem recriar requisitos, arquitetura ou código**. + +--- + +## 🎯 OBJETIVO PRINCIPAL +- Ler todos os documentos técnicos do tutor de requisitos +- Gerar **sprints técnicas otimizadas** em blocos de minutos (cada tarefa será estimada em minutos) +- Manter **ordem lógica, dependências e prioridades** +- Garantir **estimativas e justificativas técnicas claras** +- Salvar o plano completo em formato Markdown, sem criar agendamentos + +--- + +# 🔁 FLUXO DE TRABALHO + +## ETAPA 1: CONSULTAR BASE DE CONHECIMENTO + +Antes de distribuir as tarefas, **sempre consulte a base de conhecimento**: + +```json +{{ + "retrieve_backend_context": {{ + "query": "arquitetura, padrões, modelos e requisitos existentes para {tipo_app}", + "k": 8, + "path": "{chroma_store}", + "name": "{name_chroma_store}" + }} +}} +```` + +Use apenas informações já documentadas (requisitos, ADRs, APIs, entidades, fluxos, etc). +Jamais invente novos requisitos, APIs ou estruturas. + +--- + +## ETAPA 2: ANÁLISE E MAPEAMENTO + +* Liste e relacione todas as entidades, módulos e funcionalidades existentes. +* Detecte dependências técnicas entre módulos. +* Classifique a complexidade (baixa, média, alta). +* Registre **minutos estimados** com base na complexidade e no tamanho técnico. +* Defina a prioridade (1–10) conforme impacto e dependência. + +--- + +## ETAPA 3: DISTRIBUIÇÃO DAS SPRINTS + +* Agrupe as tarefas em **sprints sequenciais** (2–5 tarefas por sprint). +* Cada tarefa pode conter no máximo **2 subtarefas diretas**. +* As tarefas devem seguir **ordem lógica e cronológica**, respeitando dependências. +* Calcule a duração total da sprint com base nos **minutos estimados**. +* Indique, de forma simbólica, a sequência temporal (ex: “após Tarefa 2” ou “Sprint 2 inicia após Sprint 1”). + +Exemplo ilustrativo: + +``` +## Sprint 1 + +* Início da sprint: **2025-10-07 15:25:47** (horário de São Paulo) +* Duração total estimada: **60min** *(soma das tarefas listadas)* +* Objetivo: Implementar autenticação básica, RBAC inicial e estratégias de confiabilidade. + +1. **RF-001: [Autenticação] Registro de usuário multi-tenant** + + * Descrição: Registro de usuário com validação por tenant, hash de senha (bcrypt). + * Complexidade: Média + * Minutos estimados: **30min** + * Dependências: **RF-009, RF-010** + * Início: **2025-10-07 15:25:47** + * Fim estimado: **2025-10-07 15:55:47** + * Subtarefas: + [ + "* Subtarefa 1.1: Criar model User com campo tenant_id e constraints", + "* Subtarefa 1.2: Implementar endpoint POST /register com validação de tenant", + "* Subtarefa 1.3: Integrar hashing de senha (bcrypt) e testes unitários", + "* Subtarefa 1.4: Documentar inputs/outputs e critérios de aceitação" + ] + +2. **RF-002: [Autenticação] Login com JWT** + + * Descrição: Endpoint de login, geração de access_token JWT e refresh_token com rotação. + * Complexidade: Média + * Minutos estimados: **30min** + * Dependências: **RF-001** + * Início: **2025-10-07 15:55:47** *(inicia imediatamente após RF-001 terminar)* + * Fim estimado: **2025-10-07 16:25:47** + * Subtarefas: + [ + "* Subtarefa 2.1: Implementar endpoint POST /login e validação de credenciais", + "* Subtarefa 2.2: Gerar access_token JWT com claims essenciais e definir expiration", + "* Subtarefa 2.3: Implementar refresh_token com rotação segura e endpoint /refresh", + ] + + +--- + +## ETAPA 4: REGISTRO DE HORÁRIO DE REFERÊNCIA + +Obtenha a **data e hora atual de São Paulo** apenas como referência de início (não para agendar tarefas): + +```json +{{ + "autogetcurrenttime": {{ + "timezone": "America/Sao_Paulo", + "format": "%Y-%m-%d %H:%M:%S" + }} +}} +``` + +Use esse horário apenas como ponto de partida simbólico para a linha do tempo da sprint. + +--- + +## ETAPA 5: SALVAMENTO AUTOMÁTICO + +Salve o plano completo em Markdown, pronto para integração: + +```json +{{ + "autosave": {{ + "code": "# Plano de Sprints Técnicas\\n[conteúdo gerado em Markdown]", + "path": "{local_to_save}/sprint_plan.md" + }} +}} +``` + +--- + +## 🧠 REGRAS FUNDAMENTAIS + +✅ Sempre: + +* Baseie-se apenas em documentos técnicos existentes +* Respeite dependências e sequência técnica +* Gere estimativas justificadas e coerentes +* Mantenha JSONs válidos e completos + +❌ Nunca: + +* Recriar requisitos ou código +* Criar novas tarefas fora do escopo +* Agendar ou definir horários exatos de execução +* Atribuir múltiplas subtarefas sem justificativa + +--- + +## 💡 SAÍDA ESPERADA + +* Um **plano de sprints em Markdown detalhado**, com: + + * Nome da sprint + * Objetivo técnico + * Lista de tarefas e subtarefas + * Estimativa em minutos + * Dependências e prioridades +* Um **JSON válido** contendo o registro do plano salvo +* Nenhum agendamento — apenas criação e estruturação técnica + + """ + + + imported_tools = [autosave, retrieve_backend_context, autogetcurrenttime] + + session = SQLiteSession("agent_session_SprintsPlanner_01", db_path=os.path.join(os.path.dirname(__file__), 'Sessions', f"session_{user_id}.db")) + + agent = Agent( + name="Agent Sprints Planner", + instructions=prompt_system_direct, + model=model, + output_type=SprintsPlanOutput2, + model_settings=ModelSettings(include_usage=True), + tools=imported_tools + ) + result = await Runner.run(agent, user_content, max_turns=300, session=session) + plan = result.final_output + caminho_do_arquivo = plan.caminho_do_arquivo + # descricao = plan.descricao + # total_horas = plan.total_horas_estimadas + # sprints = plan.sprints + + usage = result.context_wrapper.usage + total_usage["input"] = usage.input_tokens + total_usage["cached"] = usage.input_tokens_details.cached_tokens + total_usage["reasoning"] = usage.output_tokens_details.reasoning_tokens + total_usage["output"] = usage.output_tokens + total_usage["total"] = usage.total_tokens + + logger.info(f"Agent Final Usage: {total_usage['total']} total tokens.") + return total_usage["total"], caminho_do_arquivo + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/backend/Agents/AppAI/SprintsSheduler/ai.py b/backend/Agents/AppAI/SprintsSheduler/ai.py new file mode 100644 index 000000000..5b4490f59 --- /dev/null +++ b/backend/Agents/AppAI/SprintsSheduler/ai.py @@ -0,0 +1,207 @@ +# Back-End\Agents\AppAI\SprintsSheduler\ai.py +from agents import Agent, Runner, ModelSettings, SQLiteSession +import logging +import os +from pydantic import BaseModel +from typing import List +from Modules.Helpers.EgetTools import Egetoolsv2 + +from Functions.task_sheduler.task_sheduler import task_sheduler +from Functions.autogetcurrenttime.autogetcurrenttime import autogetcurrenttime + + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger("SprintsPlanner_logger") + +class Output(BaseModel): + total_de_tarefas_agendadas: str + +async def SprintsShedulerAppAgent( + OPENAI_API_KEY, + user_id, + ACCESS_TOKEN, + user_content, + BACKEND_URL, + commit_language = 'pt', + model = "gpt-5-nano", + ): + os.environ['OPENAI_API_KEY'] = OPENAI_API_KEY + logger.info(f"Sprints Sheduler App Agent") + os.makedirs(os.path.join(os.path.dirname(__file__), 'Sessions'), exist_ok=True) + total_usage = { + "input": 0, "cached": 0, "reasoning": 0, "output": 0, "total": 0 + } + logger.info(f"language {commit_language}") + + + if commit_language == 'en': + prompt_system_direct = f""" + + """ + + elif commit_language == 'pt': + prompt_system_direct = f""" + +# IDENTIDADE E PAPEL +Você é um **Agente de Agendamento de Sprints Técnicas**, atuando como Engenheiro de Software Sênior. +Seu papel é **receber um documento de sprints técnicas já definidas** e **agendar cada tarefa individualmente no backend**, usando **exatamente o conteúdo da tarefa**, incluindo nome, subtarefas e dependências. + +--- + +## 🎯 OBJETIVO PRINCIPAL +- Ler o Markdown ou JSON contendo as sprints detalhadas +- Para cada tarefa, criar `SPRINT_OBJECTIVE` contendo: + - Nome da tarefa + - Todas as subtarefas listadas + - Todas as dependências explícitas + - O Objetivo listado +- Calcular `eta_str` baseado no horário da tarefa anterior, respeitando dependências +- Criar agendamentos individuais no backend usando `task_sheduler` + +--- + +## 🔁 FLUXO DE TRABALHO + +### ETAPA 1: CONSULTAR DOCUMENTO EXISTENTE +- Leia o plano de sprints fornecido (`Markdown` ou `JSON`) contendo: + - Nome da sprint + - Lista de tarefas e subtarefas + - Dependências entre tarefas + - Estimativa de horas +- **Não crie novas tarefas**, use somente as existentes no documento. + +- **Importante:** cada `SPRINT_OBJECTIVE` deve conter **tudo que está na tarefa**, incluindo subtarefas e dependências, sem modificar ou resumir. + +--- + +### ETAPA 2: OBTENÇÃO DO HORÁRIO INICIAL +- Obtenha o horário atual em **São Paulo** como referência para a primeira tarefa. + +```json +{{ + "autogetcurrenttime": {{ + "timezone": "America/Sao_Paulo", + "format": "%Y-%m-%d %H:%M:%S" + }} +}} +```` + +--- + +### ETAPA 3: CALCULAR HORÁRIOS (`eta_str`) + +* Para cada tarefa: + + * Somar o tempo estimado da tarefa anterior para definir `eta_str` + * Respeitar dependências + * Garantir **nenhuma sobreposição de horários** + +--- + +### ETAPA 4: ENVIAR AGENDAMENTOS PARA O BACKEND + +Para cada tarefa, gerar o JSON de execução usando `task_sheduler`: + +```json +{{ + "task_sheduler": {{ + "BACKEND_URL": "{BACKEND_URL}", + "ACCESS_TOKEN": "{ACCESS_TOKEN}", + "EMPLOYER_CATEGORY": "desenvolvimento", + "SPRINT_NAME": "nome da sprint", + "SPRINT_OBJECTIVE": "conteúdo completo da tarefa + todas subtarefas + dependências conforme documento", + "user_id": {user_id}, + "priority": "nível de prioridade (1-10)", + "hours": "minutos estimados da tarefa", + "lang": "pt", + "eta_str": "data e hora de execução da tarefa (%Y-%m-%d %H:%M:%S)" + }} +}} +``` + +⚠️ **Importante:** + +* `SPRINT_OBJECTIVE` **deve refletir 100% do conteúdo original**, incluindo subtarefas e dependências +* `eta_str` calculado dinamicamente, sem sobreposição de horários + +--- + +## 🧠 REGRAS FUNDAMENTAIS + +✅ Sempre: + +* Use **exatamente** nome + subtarefas + dependências da tarefa do documento +* Respeite dependências, sequência e prioridades +* Gere horários coerentes e progressivos +* Produza JSONs válidos para backend + +❌ Nunca: + +* Alterar objetivos, subtarefas ou dependências +* Criar tarefas extras +* Reutilizar horários + +--- + +## 💡 SAÍDA ESPERADA + +* JSONs individuais para cada tarefa com `SPRINT_OBJECTIVE` completo (título + subtarefas + dependências) +* Horários (`eta_str`) progressivos e coerentes +* Integração pronta com backend para execução automática + + + """ + + + imported_tools = [task_sheduler, autogetcurrenttime] + + session = SQLiteSession("agent_session_SprintsSheduler_01", db_path=os.path.join(os.path.dirname(__file__), 'Sessions', f"session_{user_id}.db")) + + agent = Agent( + name="Agent Sprints Sheduler", + instructions=prompt_system_direct, + model=model, + output_type=Output, + model_settings=ModelSettings(include_usage=True), + tools=imported_tools + ) + result = await Runner.run(agent, user_content, max_turns=300, session=session) + plan = result.final_output + total_de_tarefas_agendadas = plan.total_de_tarefas_agendadas + usage = result.context_wrapper.usage + total_usage["input"] = usage.input_tokens + total_usage["cached"] = usage.input_tokens_details.cached_tokens + total_usage["reasoning"] = usage.output_tokens_details.reasoning_tokens + total_usage["output"] = usage.output_tokens + total_usage["total"] = usage.total_tokens + + logger.info(f"Agent Final Usage: {total_usage['total']} total tokens.") + return total_usage["total"], total_de_tarefas_agendadas + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/Back-End/Agents/GitContextLayer/ai.py b/backend/Agents/GitContextLayer/ai.py similarity index 100% rename from Back-End/Agents/GitContextLayer/ai.py rename to backend/Agents/GitContextLayer/ai.py diff --git a/backend/Agents/JobSearch/AIJobAutomation.py b/backend/Agents/JobSearch/AIJobAutomation.py new file mode 100644 index 000000000..fb0efd0d3 --- /dev/null +++ b/backend/Agents/JobSearch/AIJobAutomation.py @@ -0,0 +1,529 @@ +from openai import OpenAI +from dotenv import load_dotenv +import os +import json +import schedule +import time +from datetime import datetime +import smtplib +from email.mime.multipart import MIMEMultipart +from email.mime.text import MIMEText +from email.mime.base import MIMEBase +from email import encoders +import logging +import re + +# Configuração de logging +diretorio_script = os.path.dirname(os.path.abspath(__file__)) +logger = logging.getLogger(__name__) +logger.setLevel(logging.INFO) +formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s') +os.makedirs(os.path.join(diretorio_script, 'Logs'), exist_ok=True) +file_handler = logging.FileHandler(os.path.join(diretorio_script, 'Logs', 'job_automation.log')) +file_handler.setFormatter(formatter) +console_handler = logging.StreamHandler() +console_handler.setFormatter(formatter) +logger.addHandler(file_handler) +logger.addHandler(console_handler) + +# Carregar variáveis de ambiente +load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), 'Keys', 'keys.env')) + +class AutomatedJobSearcher: + def __init__(self): + self.client = OpenAI(api_key=os.getenv('OPENAI_API_KEY')) + self.model = "gpt-4o" + self.email_config = { + 'smtp_user': os.getenv("SMTP_USER"), + 'smtp_password': os.getenv("SMTP_PASSWORD"), + 'smtp_host': os.getenv("SMTP_HOST"), + 'smtp_port': int(os.getenv("SMTP_PORT", 587)), + 'use_tls': os.getenv("SMTP_USE_TLS", "true").lower() == "true", + 'recipient_email': os.getenv("RECIPIENT_EMAIL") # Email para receber relatórios + } + self.reports_dir = os.path.join(diretorio_script, 'Reports') + os.makedirs(self.reports_dir, exist_ok=True) + + def get_current_resume(self): + """Obtém o currículo atual e extrai tecnologias/frameworks""" + try: + # Busca por arquivo de currículo no diretório + resume_files = [f for f in os.listdir(diretorio_script) + if f.lower().endswith(('.txt', '.md', '.pdf', '.docx')) + and 'curriculo' in f.lower() or 'resume' in f.lower()] + + if resume_files: + resume_path = os.path.join(diretorio_script, resume_files[0]) + if resume_path.endswith('.txt') or resume_path.endswith('.md'): + with open(resume_path, 'r', encoding='utf-8') as f: + resume_content = f.read() + logger.info(f"resume_content {resume_content}") + else: + # Para arquivos PDF/DOCX, usar placeholder ou implementar extração + resume_content = "Currículo com experiência em Python, JavaScript, React, Django, FastAPI" + else: + # Currículo padrão se não encontrar arquivo + resume_content = """ + Desenvolvedor Full Stack com experiência em: + - Python (Django, FastAPI, Flask) + - JavaScript (React, Node.js, Vue.js) + - Bancos de dados (PostgreSQL, MongoDB, MySQL) + - DevOps (Docker, AWS, Git) + - Machine Learning (TensorFlow, scikit-learn) + """ + + return self.extract_technologies_from_resume(resume_content) + + except Exception as e: + logger.error(f"Erro ao obter currículo: {str(e)}") + return { + 'languages': ['Python', 'JavaScript'], + 'frameworks': ['Django', 'React', 'FastAPI'], + 'databases': ['PostgreSQL', 'MongoDB'], + 'tools': ['Docker', 'Git', 'AWS'] + } + + def extract_technologies_from_resume(self, resume_content): + """Extrai tecnologias do currículo usando GPT""" + try: + response = self.client.responses.create( + model=self.model, + input=f""" + Analise este currículo e extraia todas as tecnologias, linguagens de programação, + frameworks e ferramentas mencionadas. Organize em categorias. + + Retorne em formato JSON assim: + {{ + "languages": ["Python", "JavaScript", "Java"], + "frameworks": ["Django", "React", "Angular"], + "databases": ["PostgreSQL", "MongoDB"], + "tools": ["Docker", "AWS", "Git"], + "other": ["outras tecnologias"] + }} + + Currículo: + {resume_content} + """, + + ) + + # Extrair JSON da resposta + json_match = re.search(r'\{.*\}', response.output_text, re.DOTALL) + if json_match: + return json.loads(json_match.group()) + else: + raise Exception("Não foi possível extrair JSON da resposta") + + except Exception as e: + logger.error(f"Erro na extração de tecnologias: {str(e)}") + return self.get_default_technologies() + + def get_default_technologies(self): + """Tecnologias padrão caso falhe a extração""" + return { + 'languages': ['Python', 'JavaScript', 'TypeScript'], + 'frameworks': ['Django', 'React', 'FastAPI', 'Node.js'], + 'databases': ['PostgreSQL', 'MongoDB', 'MySQL'], + 'tools': ['Docker', 'Git', 'AWS'], + 'other': ['REST API', 'GraphQL'] + } + + def search_jobs_by_technologies(self, technologies): + """Busca vagas baseadas nas tecnologias do currículo""" + all_jobs = [] + + # Criar queries de busca baseadas nas tecnologias + tech_combinations = [ + f"{tech} desenvolvedor Brasil remoto" for tech in technologies['languages'][:3] + ] + [ + f"{framework} developer vagas freelance" for framework in technologies['frameworks'][:3] + ] + [ + f"full stack {' '.join(technologies['languages'][:2])} vagas" + ] + + for query in tech_combinations: + try: + logger.info(f"Buscando vagas para: {query}") + + response = self.client.responses.create( + model=self.model, + input=f""" + Você é um especialista em busca de vagas de emprego e freelances. + Busque vagas e projetos freelance para: {query} + + Para CADA vaga/freela encontrada, formate EXATAMENTE assim: + + ## TÍTULO_DA_VAGA + - **URL**: link_da_vaga_ou_N/A + - **Empresa/Cliente**: nome_da_empresa_ou_cliente + - **Ganhos**: valor_salario_ou_projeto + - **Tecnologias**: lista_de_tecnologias_requeridas + - **Tempo**: tempo_dedicacao_ou_duracao_projeto + - **Tipo**: CLT/PJ/Freelance + - **Local**: cidade_ou_remoto + - **Descrição**: resumo_breve_da_vaga + + --- + + Encontre pelo menos 10-20 oportunidades relevantes. Seja específico e detalhado. + """, + tools=[{ + "type": "web_search_preview", + "search_context_size": "low", + }], + ) + + all_jobs.append({ + 'query': query, + 'results': response.output_text + }) + + # Pequena pausa entre buscas + time.sleep(2) + + except Exception as e: + logger.error(f"Erro na busca para {query}: {str(e)}") + continue + + return all_jobs + + def generate_report(self, technologies, jobs_data, report_type): + """Gera relatório consolidado em Markdown""" + try: + # Combinar todos os resultados + combined_results = "\n\n".join([job['results'] for job in jobs_data]) + + if report_type == "vagas": + title = "# 📊 Relatório de Vagas CLT/PJ" + section_title = "## 💼 Vagas CLT/PJ" + prompt_sections = f""" + Crie um relatório profissional em Markdown consolidando estas informações sobre vagas CLT/PJ. + + ESTRUTURA OBRIGATÓRIA: + + # 📊 Relatório de Vagas CLT/PJ + **Data**: {datetime.now().strftime('%d/%m/%Y')} + **Tecnologias do Perfil**: {', '.join(technologies['languages'] + technologies['frameworks'])} + + ## 🎯 Resumo Executivo + [Resumo das oportunidades CLT/PJ, tendências de mercado, faixa salarial] + + ## 💼 Vagas CLT/PJ + [Listar vagas de emprego encontradas com todos os metadados] + + ## 📈 Análise de Mercado para Vagas + [Análise das tecnologias mais demandadas, empresas que mais contratam] + + ## 💡 Recomendações + [Sugestões para o profissional em relação a vagas de emprego] + + --- + + DADOS COLETADOS: + {combined_results} + + IMPORTANTE: Mantenha TODOS os metadados (URL, ganhos, tecnologias, tempo, tipo, etc.) + organizados de forma clara e profissional. + """ + elif report_type == "freelances": + title = "# 🚀 Relatório de Projetos Freelance" + section_title = "## 🚀 Projetos Freelance" + prompt_sections = f""" + Crie um relatório profissional em Markdown consolidando estas informações sobre projetos freelance. + + ESTRUTURA OBRIGATÓRIA: + + # 🚀 Relatório de Projetos Freelance + **Data**: {datetime.now().strftime('%d/%m/%Y')} + **Tecnologias do Perfil**: {', '.join(technologies['languages'] + technologies['frameworks'])} + + ## 🎯 Resumo Executivo + [Resumo das oportunidades freelance, tendências de projetos, faixas de valor] + + ## 🚀 Projetos Freelance + [Listar projetos freelance encontrados com todos os metadados] + + ## 📈 Análise de Mercado para Freelances + [Análise das tecnologias mais demandadas em projetos, tipos de clientes] + + ## 💡 Recomendações + [Sugestões para o profissional em relação a projetos freelance] + + --- + + DADOS COLETADOS: + {combined_results} + + IMPORTANTE: Mantenha TODOS os metadados (URL, ganhos, tecnologias, tempo, tipo, etc.) + organizados de forma clara e profissional. + """ + else: + raise ValueError("Tipo de relatório inválido. Use 'vagas' ou 'freelances'.") + + response = self.client.responses.create( + model=self.model, + input=prompt_sections.format( + datetime=datetime, + technologies=technologies, + combined_results=combined_results + ) + ) + + return response.output_text + + except Exception as e: + logger.error(f"Erro na geração do relatório de {report_type}: {str(e)}") + return self.generate_fallback_report(technologies, jobs_data) + + def generate_fallback_report(self, technologies, jobs_data): + """Gera relatório básico em caso de erro""" + report = f"""# 📊 Relatório de Oportunidades Profissionais +**Data**: {datetime.now().strftime('%d/%m/%Y')} +**Tecnologias do Perfil**: {', '.join(technologies['languages'] + technologies['frameworks'])} + +## 🎯 Dados Coletados + +""" + for job in jobs_data: + report += f"### Busca: {job['query']}\n" + report += f"{job['results']}\n\n---\n\n" + + return report + + def save_report(self, report_content, report_type): + """Salva o relatório em arquivo .md""" + timestamp = datetime.now().strftime('%Y%m%d_%H%M%S') + filename = f"relatorio_{report_type}_{timestamp}.md" + filepath = os.path.join(self.reports_dir, filename) + + try: + with open(filepath, 'w', encoding='utf-8') as f: + f.write(report_content) + + logger.info(f"Relatório de {report_type} salvo em: {filepath}") + return filepath + + except Exception as e: + logger.error(f"Erro ao salvar relatório de {report_type}: {str(e)}") + return None + + def send_email_with_attachment(self, subject, body, attachment_paths): + """Envia email com múltiplos anexos usando a configuração existente""" + try: + msg = MIMEMultipart() + msg['From'] = f"Job Automation <{self.email_config['smtp_user']}>" + msg['To'] = self.email_config['recipient_email'] + msg['Subject'] = subject + + # Corpo do email + msg.attach(MIMEText(body, 'plain', 'utf-8')) + + # Anexar arquivos + for attachment_path in attachment_paths: + if attachment_path and os.path.exists(attachment_path): + with open(attachment_path, "rb") as attachment: + part = MIMEBase('application', 'octet-stream') + part.set_payload(attachment.read()) + + encoders.encode_base64(part) + part.add_header( + 'Content-Disposition', + f'attachment; filename= {os.path.basename(attachment_path)}' + ) + msg.attach(part) + + # Enviar email + server = smtplib.SMTP(self.email_config['smtp_host'], self.email_config['smtp_port']) + + if self.email_config['use_tls']: + server.starttls() + + server.login(self.email_config['smtp_user'], self.email_config['smtp_password']) + server.send_message(msg) + server.quit() + + logger.info("Email enviado com sucesso!") + return True + + except Exception as e: + logger.error(f"Erro ao enviar email: {str(e)}") + return False + + def run_daily_search(self): + """Executa a busca diária completa""" + logger.info("=== INICIANDO BUSCA DIÁRIA DE OPORTUNIDADES ===") + + try: + # 1. Obter currículo e tecnologias + logger.info("1. Obtendo tecnologias do currículo...") + technologies = self.get_current_resume() + logger.info(f" Tecnologias encontradas: {technologies['languages']}") + + # 2. Buscar vagas baseadas nas tecnologias + logger.info("2. Buscando vagas em plataformas específicas...") + jobs_data = self.search_jobs_by_technologies(technologies) + logger.info(f" Realizadas {len(jobs_data)} buscas em diferentes plataformas") + + # Separar os dados em CLT/PJ e Freelance + vagas_data = [j for j in jobs_data if 'CLT/PJ' in j['results'] or 'vagas' in j['query']] + freelances_data = [j for j in jobs_data if 'Freelance' in j['results'] or 'freelance' in j['query']] + + # 3. Gerar relatórios separados + logger.info("3. Gerando relatórios separados...") + report_vagas = self.generate_report(technologies, vagas_data, "vagas") + report_freelances = self.generate_report(technologies, freelances_data, "freelances") + + # 4. Adicionar instruções de busca manual + report_vagas = self.add_manual_search_instructions(report_vagas, technologies) + report_freelances = self.add_manual_search_instructions(report_freelances, technologies) + + # 5. Salvar relatórios + logger.info("4. Salvando relatórios...") + report_vagas_path = self.save_report(report_vagas, "vagas") + report_freelances_path = self.save_report(report_freelances, "freelances") + + # 6. Enviar por email + logger.info("5. Enviando email com anexos...") + attachment_paths = [] + if report_vagas_path: + attachment_paths.append(report_vagas_path) + if report_freelances_path: + attachment_paths.append(report_freelances_path) + + if attachment_paths: + email_subject = f"📊 Relatório de Oportunidades - {datetime.now().strftime('%d/%m/%Y')}" + email_body = f""" +Olá! + +Segue o relatório diário de oportunidades profissionais, agora separado em duas categorias para melhor organização: +- **Relatório de Vagas CLT/PJ** +- **Relatório de Projetos Freelance** + +🎯 Tecnologias pesquisadas: {', '.join(technologies['languages'][:3] + technologies['frameworks'][:2])} +📅 Data: {datetime.now().strftime('%d/%m/%Y às %H:%M')} + +💡 DICA: Configure alertas de vaga diretamente nas plataformas mencionadas! + +Atenciosamente, +Sistema de Busca Automatizada +""" + success = self.send_email_with_attachment(email_subject, email_body, attachment_paths) + if success: + logger.info(" Email enviado com sucesso!") + else: + logger.error(" Falha no envio do email") + else: + logger.error(" Nenhum relatório foi gerado para envio.") + + logger.info("=== BUSCA DIÁRIA CONCLUÍDA COM SUCESSO ===") + + except Exception as e: + logger.error(f"Erro na busca diária: {str(e)}") + # Enviar email de erro + error_subject = "⚠️ Erro na Busca Diária de Vagas" + error_body = f""" +Ocorreu um erro na busca diária de vagas: + +ERRO: {str(e)} +TIMESTAMP: {datetime.now().strftime('%d/%m/%Y às %H:%M')} + +O sistema tentará executar novamente no próximo horário agendado. + +Verifique os logs para mais detalhes. +""" + self.send_email_with_attachment(error_subject, error_body, []) + + def add_manual_search_instructions(self, report, technologies): + """Adiciona instruções detalhadas para busca manual""" + tech_list = ', '.join(technologies['languages'][:3]) + + instructions = f""" + +## 🔍 Guia de Busca Manual nas Plataformas + +### 🎯 Palavras-chave Recomendadas +**Principais**: {tech_list} +**Frameworks**: {', '.join(technologies['frameworks'][:3])} +**Termos complementares**: desenvolvedor, programador, full stack, backend, frontend + +### 🌐 Links Diretos das Plataformas + +#### 💼 Vagas CLT/PJ +- **Programathor**: https://programathor.com.br/jobs +- **InfoJobs**: https://www.infojobs.com.br/ +- **Vagas.com**: https://www.vagas.com.br/ +- **LinkedIn Jobs**: https://www.linkedin.com/jobs/ +- **Indeed**: https://br.indeed.com/ + +#### 🚀 Freelances/Projetos +- **99Freelas**: https://www.99freelas.com.br/ +- **Workana**: https://www.workana.com/pt/ +- **Freelancer**: https://www.freelancer.com/ +- **GetNinjas**: https://www.getninjas.com.br/ + +#### 🏠 Trabalho Remoto +- **Remotar**: https://remotar.com.br/ +- **Remote.co**: https://remote.co/ +- **We Work Remotely**: https://weworkremotely.com/ + +### 📱 Como Configurar Alertas + +#### LinkedIn +1. Acesse LinkedIn Jobs +2. Busque por "{tech_list.split(', ')[0]} desenvolvedor" +3. Clique em "Criar alerta" +4. Configure frequência diária + +#### Google Jobs +1. Google: "vagas {tech_list.split(', ')[0]} desenvolvedor" +2. Clique em "Criar alerta" nos resultados +3. Receba notificações por email + +### 💡 Dicas de Busca Eficaz +- Use aspas para termos exatos: "{tech_list.split(', ')[0]} developer" +- Combine tecnologias: "{tech_list.split(', ')[0]} + {tech_list.split(', ')[1] if len(tech_list.split(', ')) > 1 else 'JavaScript'}" +- Filtre por data: últimas 24h/semana +- Configure filtros de localização e salário + +""" + + return report + instructions + +def setup_scheduler(): + """Configura o agendamento das buscas""" + searcher = AutomatedJobSearcher() + + # Agendar para horários de trabalho (9h, 13h, 17h) + schedule.every().day.at("09:00").do(searcher.run_daily_search) + schedule.every().day.at("13:00").do(searcher.run_daily_search) + schedule.every().day.at("17:00").do(searcher.run_daily_search) + + logger.info("Scheduler configurado para: 09:00, 13:00, 17:00") + + return searcher + +def main(process): + """Função principal - pode ser executada manualmente ou via scheduler""" + import sys + + if process == 'test': + # Execução de teste + logger.info("=== MODO TESTE ===") + searcher = AutomatedJobSearcher() + searcher.run_daily_search() + elif process == 'scheduler': + # Modo scheduler contínuo + logger.info("=== INICIANDO SCHEDULER ===") + setup_scheduler() + + while True: + schedule.run_pending() + time.sleep(60) # Verifica a cada minuto + else: + # Execução única + logger.info("=== EXECUÇÃO ÚNICA ===") + searcher = AutomatedJobSearcher() + searcher.run_daily_search() + +if __name__ == "__main__": + main('test') \ No newline at end of file diff --git a/Back-End/Agents/PrSumary/ai.py b/backend/Agents/PrSumary/ai.py similarity index 100% rename from Back-End/Agents/PrSumary/ai.py rename to backend/Agents/PrSumary/ai.py diff --git a/backend/Agents/TecnicalDoc/ai.py b/backend/Agents/TecnicalDoc/ai.py new file mode 100644 index 000000000..190b0030e --- /dev/null +++ b/backend/Agents/TecnicalDoc/ai.py @@ -0,0 +1,291 @@ +# Back-End\Agents\TecnicalDoc\ai.py +from agents import Agent, handoff, RunContextWrapper, Runner, SQLiteSession +import requests +from dotenv import load_dotenv, find_dotenv +import os +from agents.extensions.handoff_prompt import RECOMMENDED_PROMPT_PREFIX +from pydantic import BaseModel +import logging + +from api import app +from Models.postgressSQL import db, User, Message, Config, AlfredFile, AgentStatus +from Modules.FileServer.download_ import download_ +from Modules.Agents.EgetMetadataAgent import * +from Modules.Functions.autosave import autosave +from Modules.Functions.TicketProblem import * + +from Modules.Services.Resolvers.send_email import SendEmail + +from Modules.Services.Geters.user_file_paths import get_user_file_paths + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +from pydantic import BaseModel + +class TecnicalDocData(BaseModel): + path_boletim: str + +class TecnicalDoc: + def __init__(self): + self.logger = logging.getLogger(__name__) + if not self.logger.handlers: + logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s') + + self.nameAlfred = "TecnicalDoc" + self.model_selectAlfred = "gpt-5-nano" + self.adxitional_instructions_Alfred = "" + self.system_ = "siga com os objetivos da instrucao" + self.Knowledge_Patch = os.path.join(os.path.dirname(__file__), '../', '../', 'Knowledge') + + self.logger.info(self.nameAlfred) + self.logger.info(self.model_selectAlfred) + + load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), '../', '../', 'Keys', 'keys.env')) + + self.UPLOAD_URL_VIDEOMANAGER = os.getenv("UPLOAD_URL") + self.project_name = os.getenv("Employers_AI_Support") + self.USER_ID_FOR_TEST = os.getenv("USER_ID_FOR_TEST") + + async def run(self, mensagem, user_platform_id, conversation_id, ticket_id): + all_paths = get_user_file_paths(app, user_platform_id, + self.UPLOAD_URL_VIDEOMANAGER, + self.project_name, + self.USER_ID_FOR_TEST + + ) + all_content = "" + for path in all_paths: + file_extension = path.rsplit('.', 1)[1].lower() if '.' in path else '' + if file_extension in {'md', 'txt', 'csv', 'json'}: + try: + with open(path, "r", encoding="utf-8") as f: + content = f.read() + all_content += content + "\n\n--- FIM DO ARQUIVO ---\n\n" # Adicionar um separador + except Exception as e: + print(f"Erro ao ler arquivo de texto {path}: {e}") + + self.logger.info(all_content) + self.instruction_db = f""" +## Objetivo +O Agente de Boletim Técnico é responsável por processar problemas técnicos reportados, documentá-los adequadamente e encaminhá-los ao time de desenvolvimento de forma estruturada e eficiente. + +## Fluxo de Trabalho + +### 1. Obtenção do Problema +- **Fonte**: Receber problema via ticket, chat, email ou sistema de monitoramento +- **Coleta Inicial**: + - Identificar o usuário/sistema afetado + - Registrar data e horário do incidente + - Coletar logs iniciais se disponíveis + - Verificar criticidade (Baixa, Média, Alta, Crítica) + +### 2. Análise e Investigação +- **Reprodução**: Tentar reproduzir o problema em ambiente controlado +- **Coleta de Evidências**: + - Screenshots ou videos demonstrativos + - Logs detalhados do sistema + - Configurações relevantes + - Versões de software/hardware envolvidas +- **Categorização**: Classificar o tipo de problema (Bug, Feature Request, Melhoria, etc.) + +### 3. Criação da Descrição Completa do Problema + +#### Estrutura da Descrição: +```markdown +## [ID-TICKET] - [TÍTULO DESCRITIVO] + +### Resumo Executivo +Breve descrição do problema em 2-3 linhas + +### Detalhamento do Problema +- **Ambiente Afetado**: [Produção/Teste/Desenvolvimento] +- **Sistema/Módulo**: [Nome do sistema específico] +- **Versão**: [Versão do software] +- **Usuários Impactados**: [Quantidade/Tipo de usuários] + +### Comportamento Observado +Descrição detalhada do que está acontecendo + +### Comportamento Esperado +Descrição do que deveria acontecer + +### Passos para Reprodução +1. Passo 1 +2. Passo 2 +3. Passo 3 +... + +### Evidências +- Links para logs +- Screenshots +- Vídeos demonstrativos +- Arquivos de configuração + +### Impacto nos Negócios +- Severidade: [1-5] +- Urgência: [1-5] +- Descrição do impacto + +### Análise Técnica Preliminar +- Possíveis causas identificadas +- Componentes envolvidos +- Dependências afetadas + +### Solução Temporária (se aplicável) +Descrição de workarounds disponíveis + +### Informações Adicionais +Qualquer informação relevante adicional +``` + +### 4. Definição do Assunto do Email + +#### Formato do Assunto: +``` +[PRIORIDADE] [SISTEMA] - [DESCRIÇÃO BREVE] - [ID-TICKET] +``` + +#### Exemplos: +- `[CRÍTICO] ERP - Falha no módulo de faturamento - #TKT-2024-001` +- `[ALTO] Portal Cliente - Login intermitente - #TKT-2024-002` +- `[MÉDIO] Relatórios - Performance lenta - #TKT-2024-003` + +### 5. Salvamento em Arquivo .md + +#### Nomenclatura do Arquivo: +``` +YYYY-MM-DD_HH-MM_[SISTEMA]_[ID-TICKET]_boletim-tecnico.md +``` + +#### Exemplo: +``` +2024-03-15_14-30_ERP_TKT-2024-001_boletim-tecnico.md +``` + +#### Localização: +- Pasta: `{self.Knowledge_Patch}` + + +Detalhes:\n + + +# ### **Detalhes do autosave:** +# - **code:** conteudo completo do documento tecnico sem omissoes por breviedade +# - **path:** `{self.Knowledge_Patch}` +\n + +### 6. Envio do Email + + +#### Corpo do Email: +``` +Prezado Time de Desenvolvimento, + +Segue em anexo boletim técnico referente ao problema reportado. + +RESUMO RÁPIDO: +- Sistema: [Nome do Sistema] +- Problema: [Breve descrição] +- Prioridade: [Nível de prioridade] +- Ticket: [ID do Ticket] + +O arquivo em anexo contém todas as informações técnicas detalhadas para análise e resolução. + +Aguardo retorno com estimativa de resolução. + +Atenciosamente, +Agente de Boletim Técnico +``` + +#### Anexos: +- Arquivo .md do boletim técnico +- Screenshots (se aplicável) +- Logs compactados (se necessário) +- Arquivos de configuração relevantes + +## Critérios de Qualidade + +### Checklist Pré-Envio: +- [ ] Problema claramente descrito +- [ ] Passos de reprodução detalhados +- [ ] Evidências coletadas e anexadas +- [ ] Impacto nos negócios avaliado +- [ ] Prioridade corretamente definida +- [ ] Arquivo .md salvo no local correto +- [ ] Assunto do email formatado adequadamente +- [ ] Destinatários corretos incluídos +- [ ] Anexos verificados + +### Métricas de Acompanhamento: +- Tempo de documentação: Máximo 30 minutos por boletim +- Qualidade da documentação: Avaliada pelo time de desenvolvimento +- Taxa de retrabalho: Menor que 10% +- Satisfação do time: Pesquisa trimestral + +## Escalação +Se o problema for classificado como **CRÍTICO**: +1. Notificar imediatamente por telefone/WhatsApp +2. Enviar email com flag de alta prioridade +3. Acompanhar resolução em tempo real +4. Comunicar status a cada 2 horas + +## Ferramentas Necessárias +- Sistema de tickets +- Editor de texto/markdown +- Cliente de email corporativo +- Ferramenta de captura de tela +- Acesso aos logs do sistema +- Sistema de controle de versão de documentos + +## Observações Importantes +- Manter confidencialidade das informações +- Seguir padrões de nomenclatura estabelecidos +- Documentar lições aprendidas +- Manter histórico organizado para consultas futuras +- Revisar e atualizar processos trimestralmente + """ + self.instruction = f""" + +{self.instruction_db} +--- + +**Contexto e informacoes:** +Aqui voce encontra Contexto e informacoes de documentos para conseguir entender melhor o contexto do aplicativo +{all_content} + + """ + Tools_Name_dict = [autosave] + + session = SQLiteSession(f"{conversation_id}", os.path.join(os.path.dirname(__file__), '../', '../', 'Knowledge', 'Db', 'conversations.db')) + + agent = Agent( + name=self.nameAlfred, + instructions =self.instruction, + model=self.model_selectAlfred, + tools=Tools_Name_dict, + output_type=TecnicalDocData + ) + + result = await Runner.run(agent, mensagem, max_turns=300, session=session) + path_boletim = result.final_output.path_boletim + logger.info(f"path_boletim? {path_boletim}") + + with open(path_boletim, "r", encoding="utf-8") as file: + content_boletim = file.read() + + SendEmail( + appname="Employers AI", + Subject=F"Ticket #{ticket_id}", + user_email_origin="freitasalexandre810@gmail.com", + body=content_boletim, + SMTP_ADM=os.getenv("SMTP_USER"), + SMTP_PASSWORD=os.getenv("SMTP_PASSWORD"), + SMTP_HOST=os.getenv("SMTP_HOST"), + SMTP_PORT=int(os.getenv("SMTP_PORT", 587)), + use_tls=os.getenv("SMTP_USE_TLS", "true").lower() == "true", + ) + + + return path_boletim + diff --git a/backend/Agents/TecnicalDoc/example.py b/backend/Agents/TecnicalDoc/example.py new file mode 100644 index 000000000..acc438fb2 --- /dev/null +++ b/backend/Agents/TecnicalDoc/example.py @@ -0,0 +1,16 @@ +from Agents.TecnicalDoc.ai import TecnicalDoc +import asyncio + +from api import app + +TecnicalDoc_instance = TecnicalDoc() +TecnicalDoc_Runner = TecnicalDoc_instance.run + +mensagem = """ +Não consigo acessar mais de 10 vídeos anteriores no modo de seleção de vídeo específico por nome do canal. Ao tentar navegar pelo histórico, parece limitar o acesso aos primeiros 10 vídeos e não carrega os demais. +""" +user_platform_id = "teste@gmail.com" +conversation_id = "chatsession_1235" +ticket_id = 'f99ea' +asyncio.run(TecnicalDoc_Runner(mensagem, user_platform_id, conversation_id, ticket_id)) + \ No newline at end of file diff --git a/backend/Agents/gpt_engineer/__init__.py b/backend/Agents/gpt_engineer/__init__.py new file mode 100644 index 000000000..518f9f8cc --- /dev/null +++ b/backend/Agents/gpt_engineer/__init__.py @@ -0,0 +1,4 @@ +# Adding convenience imports to the package + +# from gpt_engineer.tools import code_vector_repository +# from gpt_engineer.core.default import on_disk_repository diff --git a/backend/Agents/gpt_engineer/applications/__init__.py b/backend/Agents/gpt_engineer/applications/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/Agents/gpt_engineer/applications/cli/__init__.py b/backend/Agents/gpt_engineer/applications/cli/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/Agents/gpt_engineer/applications/cli/cli_agent.py b/backend/Agents/gpt_engineer/applications/cli/cli_agent.py new file mode 100644 index 000000000..80a98c98a --- /dev/null +++ b/backend/Agents/gpt_engineer/applications/cli/cli_agent.py @@ -0,0 +1,226 @@ +""" +This module provides the CliAgent class which manages the lifecycle of code generation and improvement +using an AI model. It includes functionalities to initialize code generation, improve existing code, +and process the code through various steps defined in the step bundle. +""" + +from typing import Callable, Optional, TypeVar + +# from Agents.gpt_engineer.core.default.git_version_manager import GitVersionManager +from Agents.gpt_engineer.core.ai import AI +from Agents.gpt_engineer.core.base_agent import BaseAgent +from Agents.gpt_engineer.core.base_execution_env import BaseExecutionEnv +from Agents.gpt_engineer.core.base_memory import BaseMemory +from Agents.gpt_engineer.core.default.disk_execution_env import DiskExecutionEnv +from Agents.gpt_engineer.core.default.disk_memory import DiskMemory +from Agents.gpt_engineer.core.default.paths import PREPROMPTS_PATH +from Agents.gpt_engineer.core.default.steps import ( + execute_entrypoint, + gen_code, + gen_entrypoint, + improve_fn, +) +from Agents.gpt_engineer.core.files_dict import FilesDict +from Agents.gpt_engineer.core.preprompts_holder import PrepromptsHolder +from Agents.gpt_engineer.core.prompt import Prompt + +CodeGenType = TypeVar("CodeGenType", bound=Callable[[AI, str, BaseMemory], FilesDict]) +CodeProcessor = TypeVar( + "CodeProcessor", bound=Callable[[AI, BaseExecutionEnv, FilesDict], FilesDict] +) +ImproveType = TypeVar( + "ImproveType", bound=Callable[[AI, str, FilesDict, BaseMemory], FilesDict] +) + + +class CliAgent(BaseAgent): + """ + The `CliAgent` class is responsible for managing the lifecycle of code generation and improvement + using an AI model. It orchestrates the generation of new code and the improvement of existing code + based on given prompts and utilizes a memory system and execution environment for processing. + + Parameters + ---------- + memory : BaseMemory + An instance of a class that adheres to the BaseMemory interface, used for storing and retrieving + information during the code generation process. + execution_env : BaseExecutionEnv + An instance of a class that adheres to the BaseExecutionEnv interface, used for executing code + and managing the execution environment. + ai : AI, optional + An instance of the AI class that manages calls to the language model. If not provided, a default + instance is created. + code_gen_fn : CodeGenType, optional + A callable that takes an AI instance, a prompt, and a memory instance to generate code. Defaults + to the `gen_code` function. + improve_fn : ImproveType, optional + A callable that takes an AI instance, a prompt, a FilesDict instance, and a memory instance to + improve code. Defaults to the `improve` function. + process_code_fn : CodeProcessor, optional + A callable that takes an AI instance, an execution environment, and a FilesDict instance to + process code. Defaults to the `execute_entrypoint` function. + preprompts_holder : PrepromptsHolder, optional + An instance of PrepromptsHolder that manages preprompt templates. If not provided, a default + instance is created using the PREPROMPTS_PATH. + + Attributes + ---------- + memory : BaseMemory + The memory instance where the agent stores and retrieves information. + execution_env : BaseExecutionEnv + The execution environment instance where the agent executes and manages code. + ai : AI + The AI instance used for interacting with the language model. + code_gen_fn : CodeGenType + The function used for generating code. + improve_fn : ImproveType + The function used for improving code. + process_code_fn : CodeProcessor + The function used for processing code. + preprompts_holder : PrepromptsHolder + The holder for preprompt templates. + """ + + def __init__( + self, + memory: BaseMemory, + execution_env: BaseExecutionEnv, + ai: AI = None, + code_gen_fn: CodeGenType = gen_code, + improve_fn: ImproveType = improve_fn, + process_code_fn: CodeProcessor = execute_entrypoint, + preprompts_holder: PrepromptsHolder = None, + repo_path='' + ): + self.memory = memory + self.execution_env = execution_env + self.ai = ai + #or AI() + self.code_gen_fn = code_gen_fn + self.process_code_fn = process_code_fn + self.improve_fn = improve_fn + self.preprompts_holder = preprompts_holder or PrepromptsHolder(PREPROMPTS_PATH) + self.repo_path = repo_path + + @classmethod + def with_default_config( + cls, + memory: DiskMemory, + execution_env: DiskExecutionEnv, + ai: AI = None, + code_gen_fn: CodeGenType = gen_code, + improve_fn: ImproveType = improve_fn, + process_code_fn: CodeProcessor = execute_entrypoint, + preprompts_holder: PrepromptsHolder = None, + repo_path='', + diff_timeout=3, + ): + """ + Creates a new instance of CliAgent with default configurations for memory, execution environment, + AI, and other functional parameters. + + Parameters + ---------- + memory : DiskMemory + An instance of DiskMemory for storing and retrieving information. + execution_env : DiskExecutionEnv + An instance of DiskExecutionEnv for executing code. + ai : AI, optional + An instance of AI for interacting with the language model. Defaults to None, which will create + a new AI instance. + code_gen_fn : CodeGenType, optional + A function for generating code. Defaults to `gen_code`. + improve_fn : ImproveType, optional + A function for improving code. Defaults to `improve`. + process_code_fn : CodeProcessor, optional + A function for processing code. Defaults to `execute_entrypoint`. + preprompts_holder : PrepromptsHolder, optional + An instance of PrepromptsHolder for managing preprompt templates. Defaults to None, which will + create a new PrepromptsHolder instance using PREPROMPTS_PATH. + + Returns + ------- + CliAgent + An instance of CliAgent configured with the provided or default parameters. + """ + return cls( + memory=memory, + execution_env=execution_env, + ai=ai, + code_gen_fn=code_gen_fn, + process_code_fn=process_code_fn, + improve_fn=improve_fn, + preprompts_holder=preprompts_holder or PrepromptsHolder(PREPROMPTS_PATH), + repo_path=repo_path, + ) + + def init(self, prompt: Prompt) -> FilesDict: + """ + Generates a new piece of code using the AI and step bundle based on the provided prompt. + + Parameters + ---------- + prompt : str + A string prompt that guides the code generation process. + + Returns + ------- + FilesDict + An instance of the `FilesDict` class containing the generated code. + """ + + files_dict = self.code_gen_fn( + self.ai, prompt, self.memory, self.preprompts_holder + ) + entrypoint = gen_entrypoint( + self.ai, prompt, files_dict, self.memory, self.preprompts_holder + ) + combined_dict = {**files_dict, **entrypoint} + files_dict = FilesDict(combined_dict) + files_dict = self.process_code_fn( + self.ai, + self.execution_env, + files_dict, + preprompts_holder=self.preprompts_holder, + prompt=prompt, + memory=self.memory, + ) + return files_dict + + def improve( + self, + files_dict: FilesDict, + prompt: Prompt, + execution_command: Optional[str] = None, + diff_timeout=3, + ) -> FilesDict: + """ + Improves an existing piece of code using the AI and step bundle based on the provided prompt. + + Parameters + ---------- + files_dict : FilesDict + An instance of `FilesDict` containing the code to be improved. + prompt : str + A string prompt that guides the code improvement process. + execution_command : str, optional + An optional command to execute the code. If not provided, the default execution command is used. + + Returns + ------- + FilesDict + An instance of the `FilesDict` class containing the improved code. + """ + + files_dict = self.improve_fn( + self.ai, + prompt, + files_dict, + self.memory, + self.preprompts_holder, + self.repo_path, + diff_timeout=diff_timeout, + ) + + + return files_dict diff --git a/backend/Agents/gpt_engineer/applications/cli/collect.py b/backend/Agents/gpt_engineer/applications/cli/collect.py new file mode 100644 index 000000000..4a54471b9 --- /dev/null +++ b/backend/Agents/gpt_engineer/applications/cli/collect.py @@ -0,0 +1,177 @@ +""" +Module `collect` - Data Handling and RudderStack Integration + +This module provides functionalities to handle and send learning data to RudderStack +for the purpose of analysis and to improve the gpt-engineer system. The data is sent +only when the user gives consent to share. + +Functions: + send_learning(learning): Sends learning data to RudderStack. + collect_learnings(prompt, model, temperature, config, memory, review): Processes and sends learning data. + collect_and_send_human_review(prompt, model, temperature, config, memory): Collects human feedback and sends it. + +Dependencies: + hashlib: For generating SHA-256 hash. + typing: For type annotations. + Agents.gpt_engineer.core: Core functionalities of gpt-engineer. + Agents.gpt_engineer.cli.learning: Handles the extraction of learning data. + +Notes: + Data sent to RudderStack is not shared with third parties and is used solely to + improve gpt-engineer and allow it to handle a broader range of use cases. + Consent logic is in gpt_engineer/learning.py. +""" + +from typing import Tuple + +from Agents.gpt_engineer.applications.cli.learning import ( + Learning, + Review, + extract_learning, + human_review_input, +) +from Agents.gpt_engineer.core.default.disk_memory import DiskMemory +from Agents.gpt_engineer.core.prompt import Prompt + + +def send_learning(learning: Learning): + """ + Send the learning data to RudderStack for analysis. + + Parameters + ---------- + learning : Learning + An instance of the Learning class containing the data to be sent. + + Notes + ----- + This function is only called if consent is given to share data. + Data is not shared to a third party. It is used with the sole purpose of + improving gpt-engineer, and letting it handle more use cases. + Consent logic is in gpt_engineer/learning.py. + """ + import rudderstack.analytics as rudder_analytics + + rudder_analytics.write_key = "2Re4kqwL61GDp7S8ewe6K5dbogG" + rudder_analytics.dataPlaneUrl = "https://gptengineerezm.dataplane.rudderstack.com" + + rudder_analytics.track( + user_id=learning.session, + event="learning", + properties=learning.to_dict(), # type: ignore + ) + + +def collect_learnings( + prompt: Prompt, + model: str, + temperature: float, + config: any, + memory: DiskMemory, + review: Review, +): + """ + Collect the learning data and send it to RudderStack for analysis. + + Parameters + ---------- + prompt : str + The initial prompt or question that was provided to the model. + model : str + The name of the model used for generating the response. + temperature : float + The temperature setting used in the model's response generation. + config : any + Configuration parameters used for the learning session. + memory : DiskMemory + An instance of DiskMemory for storing and retrieving data. + review : Review + An instance of Review containing human feedback on the model's response. + + Notes + ----- + This function attempts to send the learning data to RudderStack. If the data size exceeds + the maximum allowed size, it trims the data and retries sending it. + """ + learnings = extract_learning(prompt, model, temperature, config, memory, review) + try: + send_learning(learnings) + except RuntimeError: + # try to remove some parts of learning that might be too big + # rudderstack max event size is 32kb + max_size = 32 << 10 # 32KB in bytes + current_size = len(learnings.to_json().encode("utf-8")) # get size in bytes + + overflow = current_size - max_size + + # Add some extra characters for the "[REMOVED...]" string and for safety margin + remove_length = overflow + len(f"[REMOVED {overflow} CHARACTERS]") + 100 + + learnings.logs = ( + learnings.logs[:-remove_length] + + f"\n\n[REMOVED {remove_length} CHARACTERS]" + ) + + print( + "WARNING: learning too big, removing some parts. " + "Please report if this results in a crash." + ) + try: + send_learning(learnings) + except RuntimeError: + print( + "Sending learnings crashed despite truncation. Progressing without saving learnings." + ) + + +# def steps_file_hash(): +# """ +# Compute the SHA-256 hash of the steps file. +# +# Returns +# ------- +# str +# The SHA-256 hash of the steps file. +# """ +# with open(steps.__file__, "r") as f: +# content = f.read() +# return hashlib.sha256(content.encode("utf-8")).hexdigest() + + +def collect_and_send_human_review( + prompt: Prompt, + model: str, + temperature: float, + config: Tuple[str, ...], + memory: DiskMemory, +): + """ + Collects human feedback on the code and sends it for analysis. + + Parameters + ---------- + prompt : str + The initial prompt or question that was provided to the model. + model : str + The name of the model used for generating the response. + temperature : float + The temperature setting used in the model's response generation. + config : Tuple[str, ...] + Configuration parameters used for the learning session. + memory : DiskMemory + An instance of DiskMemory for storing and retrieving data. + + Returns + ------- + None + + Notes + ----- + This function prompts the user for a review of the generated or improved code using the + `human_review_input` function. If a valid review is provided, it's serialized to JSON format + and stored within the database's memory under the "review" key. + """ + + review = human_review_input() + if review: + collect_learnings(prompt, model, temperature, config, memory, review) diff --git a/backend/Agents/gpt_engineer/applications/cli/file_selector.py b/backend/Agents/gpt_engineer/applications/cli/file_selector.py new file mode 100644 index 000000000..64c80a94d --- /dev/null +++ b/backend/Agents/gpt_engineer/applications/cli/file_selector.py @@ -0,0 +1,551 @@ +""" +file_selector.py + +This module offers interactive file selection for projects. Leveraging a terminal-based, +tree-structured display, users can navigate and select files for editing or processing. +It integrates with system editors for direct file modification and supports saving +selections for later use. Designed for efficient workflow enhancement in file-intensive +environments, it offers customizable file filtering and seamless editor integration. + +Key Components: +- FileSelector: Manages file selection and interaction. +- DisplayablePath: Provides a structured view of file paths. + +Usage: +Typically used in project setup or management phases for selecting specific files. +It operates within the GPT-Engineer environment, relying on core functionalities for +file handling and persistence. +""" + +import fnmatch +import os +import subprocess + +from pathlib import Path +from typing import Any, Dict, Generator, List, Union + +import toml + +from Agents.gpt_engineer.core.default.disk_memory import DiskMemory +from Agents.gpt_engineer.core.default.paths import metadata_path +from Agents.gpt_engineer.core.files_dict import FilesDict +from Agents.gpt_engineer.core.git import filter_by_gitignore, is_git_repo + + +class FileSelector: + """ + Manages file selection and interaction within a project directory. + + This class provides methods to interactively select files from the terminal, + save selections for later use, and integrate with system editors for direct + file modification. + + Attributes + ---------- + IGNORE_FOLDERS : set + A set of directory names to ignore during file selection. + FILE_LIST_NAME : str + The name of the file that stores the selected files list. + COMMENT : str + The comment string to be added to the top of the file selection list. + """ + + IGNORE_FOLDERS = {"site-packages", "node_modules", "venv", "__pycache__"} + FILE_LIST_NAME = "file_selection.toml" + COMMENT = ( + "# Remove '#' to select a file or turn off linting.\n\n" + "# Linting with BLACK (Python) enhances code suggestions from LLMs. " + "To disable linting, uncomment the relevant option in the linting settings.\n\n" + "# gpt-engineer can only read selected files. " + "Including irrelevant files will degrade performance, " + "cost additional tokens and potentially overflow token limit.\n\n" + ) + LINTING_STRING = '[linting]\n# "linting" = "off"\n\n' + is_linting = True + + def __init__(self, project_path: Union[str, Path]): + """ + Initializes the FileSelector with a given project path. + + Parameters + ---------- + project_path : Union[str, Path] + The path to the project directory where file selection is to be performed. + """ + self.project_path = project_path + self.metadata_db = DiskMemory(metadata_path(self.project_path)) + self.toml_path = self.metadata_db.path / self.FILE_LIST_NAME + + def ask_for_files(self, skip_file_selection=False) -> tuple[FilesDict, bool]: + """ + Prompts the user to select files for context improvement. + + This method supports selection from the terminal or using a previously saved list. + In test mode, it retrieves files from a predefined TOML configuration. + + Returns + ------- + FilesDict + A dictionary with file paths as keys and file contents as values. + """ + + # --- Skip toda a parte interativa e de TOML quando solicitado --- + if os.getenv("GPTE_TEST_MODE") or skip_file_selection: + # Carrega todos os arquivos do projeto diretamente, sem seleção + all_files = self.get_current_files(self.project_path) + content_dict = {} + for rel_path in all_files: + full_path = Path(self.project_path) / rel_path + try: + with open(full_path, "r", encoding="utf-8") as f: + content_dict[rel_path] = f.read() + except (FileNotFoundError, UnicodeDecodeError): + # pula arquivos faltantes ou binários + continue + # desabilita linting para não cair no pdb depois + self.is_linting = False + return FilesDict(content_dict), self.is_linting + else: + # Otherwise, use the editor file selector for interactive selection + if self.FILE_LIST_NAME in self.metadata_db: + print( + f"File list detected at {self.toml_path}. Edit or delete it if you want to select new files." + ) + selected_files = self.editor_file_selector(self.project_path, False) + else: + selected_files = self.editor_file_selector(self.project_path, True) + + content_dict = {} + for file_path in selected_files: + # selected files contains paths that are relative to the project path + try: + # to open the file we need the path from the cwd + with open( + Path(self.project_path) / file_path, "r", encoding="utf-8" + ) as content: + content_dict[str(file_path)] = content.read() + except FileNotFoundError: + print(f"Warning: File not found {file_path}") + except UnicodeDecodeError: + print(f"Warning: File not UTF-8 encoded {file_path}, skipping") + + return FilesDict(content_dict), self.is_linting + + def editor_file_selector( + self, input_path: Union[str, Path], init: bool = True + ) -> List[str]: + """ + Provides an interactive file selection interface using a .toml file. + + Parameters + ---------- + input_path : Union[str, Path] + The path where file selection is to be performed. + init : bool, optional + Indicates whether to initialize the .toml file with the file tree. + + Returns + ------- + List[str] + A list of strings representing the paths of selected files. + """ + + root_path = Path(input_path) + tree_dict = {} + toml_file = DiskMemory(metadata_path(input_path)).path / "file_selection.toml" + # Define the toml file path + + # Initialize .toml file with file tree if in initial state + if init: + tree_dict = {x: "selected" for x in self.get_current_files(root_path)} + + s = toml.dumps({"files": tree_dict}) + + # add comments on all lines that match = "selected" + s = "\n".join( + [ + "# " + line if line.endswith(' = "selected"') else line + for line in s.split("\n") + ] + ) + # Write to the toml file + with open(toml_file, "w") as f: + f.write(self.COMMENT) + f.write(self.LINTING_STRING) + f.write(s) + + else: + # Load existing files from the .toml configuration + all_files = self.get_current_files(root_path) + s = toml.dumps({"files": {x: "selected" for x in all_files}}) + + # get linting status from the toml file + with open(toml_file, "r") as file: + linting_status = toml.load(file) + if ( + "linting" in linting_status + and linting_status["linting"].get("linting", "").lower() == "off" + ): + self.is_linting = False + self.LINTING_STRING = '[linting]\n"linting" = "off"\n\n' + print("\nLinting is disabled") + + with open(toml_file, "r") as file: + selected_files = toml.load(file) + + lines = s.split("\n") + s = "\n".join( + lines[:1] + + [ + line + if line.split(" = ")[0].strip('"') in selected_files["files"] + else "# " + line + for line in lines[1:] + ] + ) + + # Write the merged list back to the .toml for user review and modification + with open(toml_file, "w") as file: + file.write(self.COMMENT) # Ensure to write the comment + file.write(self.LINTING_STRING) + file.write(s) + + print( + "Please select and deselect (add # in front) files, save it, and close it to continue..." + ) + self.open_with_default_editor( + toml_file + ) # Open the .toml file in the default editor for user modification + return self.get_files_from_toml( + input_path, toml_file + ) # Return the list of selected files after user edits + + def open_with_default_editor(self, file_path: Union[str, Path]): + """ + Opens a file with the system's default text editor. + + Parameters + ---------- + file_path : Union[str, Path] + The path to the file to be opened in the text editor. + """ + + editors = [ + "gedit", + "notepad", + "nvim", + "write", + "nano", + "vim", + "emacs", + ] # Putting the beginner-friendly text editor forward + chosen_editor = os.environ.get("EDITOR") + + # Try the preferred editor first, then fallback to common editors + if chosen_editor: + try: + subprocess.run([chosen_editor, file_path]) + return + except Exception: + pass + + for editor in editors: + try: + subprocess.run([editor, file_path]) + return + except Exception: + continue + print("No suitable text editor found. Please edit the file manually.") + + def is_utf8(self, file_path: Union[str, Path]) -> bool: + """ + Checks if the file at the given path is UTF-8 encoded. + + Parameters + ---------- + file_path : Union[str, Path] + The path to the file to be checked. + + Returns + ------- + bool + True if the file is UTF-8 encoded, False otherwise. + """ + + try: + with open(file_path, "rb") as file: + file.read().decode("utf-8") + return True + except UnicodeDecodeError: + return False + + def get_files_from_toml( + self, input_path: Union[str, Path], toml_file: Union[str, Path] + ) -> List[str]: + """ + Retrieves a list of selected files from a .toml configuration file. + + Parameters + ---------- + input_path : Union[str, Path] + The path where file selection was performed. + toml_file : Union[str, Path] + The path to the .toml file containing the file selection. + + Returns + ------- + List[str] + A list of strings representing the paths of selected files. + + Raises + ------ + Exception + If no files are selected in the .toml file. + """ + selected_files = [] + edited_tree = toml.load(toml_file) # Load the edited .toml file + + # check if users have disabled linting or not + if ( + "linting" in edited_tree + and edited_tree["linting"].get("linting", "").lower() == "off" + ): + self.is_linting = False + print("\nLinting is disabled") + else: + self.is_linting = True + + # Iterate through the files in the .toml and append selected files to the list + for file, _ in edited_tree["files"].items(): + selected_files.append(file) + + # Ensure that at least one file is selected, or raise an exception + if not selected_files: + raise Exception( + "No files were selected. Please select at least one file to proceed." + ) + + print(f"\nYou have selected the following files:\n{input_path}") + + project_path = Path(input_path).resolve() + selected_paths = set( + project_path.joinpath(file).resolve(strict=False) for file in selected_files + ) + + for displayable_path in DisplayablePath.make_tree(project_path): + if displayable_path.path in selected_paths: + p = displayable_path + while p.parent and p.parent.path not in selected_paths: + selected_paths.add(p.parent.path) + p = p.parent + + try: + for displayable_path in DisplayablePath.make_tree(project_path): + if displayable_path.path in selected_paths: + print(displayable_path.displayable()) + + except FileNotFoundError: + print("Specified path does not exist: ", project_path) + except Exception as e: + print("An error occurred while trying to display the file tree:", e) + + print("\n") + return selected_files + + def merge_file_lists( + self, existing_files: Dict[str, Any], new_files: Dict[str, Any] + ) -> Dict[str, Any]: + """ + Merges two lists of files, preserving the selection status. + + Parameters + ---------- + existing_files : Dict[str, Any] + The dictionary of existing files with their properties. + new_files : Dict[str, Any] + The dictionary of new files with their properties. + + Returns + ------- + Dict[str, Any] + The updated dictionary of files after merging. + """ + # Update the existing files with any new files or changes + for file, properties in new_files.items(): + if file not in existing_files: + existing_files[file] = properties # Add new files as unselected + # If you want to update other properties of existing files, you can do so here + + return existing_files + + def should_filter_file(self, file_path: Path, filters: List[str]) -> bool: + """ + Determines if a file should be ignored based on .gitignore rules. + """ + for f in filters: + if fnmatch.fnmatchcase(str(file_path), f): + return True + return False + + def get_current_files(self, project_path: Union[str, Path]) -> List[str]: + """ + Generates a list of all files in the project directory. Will use .gitignore files if project_path is a git repository. + + Parameters + ---------- + project_path : Union[str, Path] + The path to the project directory. + + Returns + ------- + List[str] + A list of strings representing the relative paths of all files in the project directory. + """ + all_files = [] + project_path = Path( + project_path + ).resolve() # Ensure path is absolute and resolved + + file_list = project_path.glob("**/*") + + for path in file_list: # Recursively list all files + if path.is_file(): + relpath = path.relative_to(project_path) + parts = relpath.parts + if any(part.startswith(".") for part in parts): + continue # Skip hidden files + if any(part in self.IGNORE_FOLDERS for part in parts): + continue + if relpath.name == "prompt": + continue # Skip files named 'prompt' + + all_files.append(str(relpath)) + + if is_git_repo(project_path) and "projects" not in project_path.parts: + all_files = filter_by_gitignore(project_path, all_files) + + return sorted(all_files, key=lambda x: Path(x).as_posix()) + + +class DisplayablePath(object): + """ + Represents and displays a file system path in a tree-like structure. + + This class is used to visually represent the structure of directories and files + in a way that is similar to a file explorer's tree view. + """ + + display_filename_prefix_middle = "├── " + display_filename_prefix_last = "└── " + display_parent_prefix_middle = " " + display_parent_prefix_last = "│ " + + def __init__( + self, path: Union[str, Path], parent_path: "DisplayablePath", is_last: bool + ): + """ + Initializes a DisplayablePath object with a given path and parent. + + Parameters + ---------- + path : Union[str, Path] + The file system path to be displayed. + parent_path : DisplayablePath + The parent path in the tree structure. + is_last : bool + Indicates whether this is the last sibling in the tree structure. + """ + self.depth = 0 + self.path = Path(str(path)) + self.parent = parent_path + self.is_last = is_last + if self.parent: + self.depth = self.parent.depth + 1 # Increment depth if it has a parent + + @property + def display_name(self) -> str: + """ + Get the display name of the file or directory. + """ + if self.path.is_dir(): + return self.path.name + "/" + return self.path.name + + @classmethod + def make_tree( + cls, root: Union[str, Path], parent=None, is_last=False, criteria=None + ) -> Generator["DisplayablePath", None, None]: + """ + Creates a tree of DisplayablePath objects from a root directory. + + Parameters + ---------- + root : Union[str, Path] + The root directory from which to start creating the tree. + parent : DisplayablePath, optional + The parent path in the tree structure. + is_last : bool, optional + Indicates whether this is the last sibling in the tree structure. + criteria : callable, optional + A function to filter the paths included in the tree. + + Yields + ------ + DisplayablePath + The next DisplayablePath object in the tree. + """ + root = Path(str(root)) # Ensure root is a Path object + criteria = criteria or cls._default_criteria + displayable_root = cls(root, parent, is_last) + yield displayable_root + + if root.is_dir(): # Check if root is a directory before iterating + children = sorted( + list(path for path in root.iterdir() if criteria(path)), + key=lambda s: str(s).lower(), + ) + count = 1 + for path in children: + is_last = count == len(children) + yield from cls.make_tree( + path, parent=displayable_root, is_last=is_last, criteria=criteria + ) + count += 1 + + @classmethod + def _default_criteria(cls, path: Path) -> bool: + """ + The default criteria function to filter the paths. + """ + return True + + def displayable(self) -> str: + """ + Returns a string representation of the path for display in a tree-like structure. + + Returns + ------- + str + The displayable string representation of the file or directory. + """ + if self.parent is None: + return self.display_name + + _filename_prefix = ( + self.display_filename_prefix_last + if self.is_last + else self.display_filename_prefix_middle + ) + + parts = ["{!s} {!s}".format(_filename_prefix, self.display_name)] + + parent = self.parent + while parent and parent.parent is not None: + parts.append( + self.display_parent_prefix_middle + if parent.is_last + else self.display_parent_prefix_last + ) + parent = parent.parent + + return "".join(reversed(parts)) # Assemble the parts into the final string diff --git a/backend/Agents/gpt_engineer/applications/cli/learning.py b/backend/Agents/gpt_engineer/applications/cli/learning.py new file mode 100644 index 000000000..7084660d5 --- /dev/null +++ b/backend/Agents/gpt_engineer/applications/cli/learning.py @@ -0,0 +1,301 @@ +""" +The `learning` module is designed to facilitate the collection and storage of user feedback on the outputs generated by the GPT Engineer tool. It provides mechanisms for obtaining user consent, capturing user reviews, and storing this information for future analysis and enhancement of the tool's performance. + +Classes +------- +Review : dataclass + Represents a user's review of the generated code, including whether it ran, was perfect, was useful, and any additional comments. +Learning : dataclass + Encapsulates the metadata and feedback collected during a session of using the GPT Engineer tool, including the prompt, model, temperature, configuration, logs, session identifier, user review, and timestamp. + +Functions +--------- +human_review_input() -> Optional[Review] + Interactively gathers feedback from the user regarding the performance of generated code and returns a Review instance. +check_collection_consent() -> bool + Checks if the user has previously given consent to store their data and, if not, asks for it. +ask_collection_consent() -> bool + Prompts the user for consent to store their data for the purpose of improving GPT Engineer. +extract_learning(prompt: Prompt, model: str, temperature: float, config: Tuple[str, ...], memory: DiskMemory, review: Review) -> Learning + Extracts feedback and session details to create a Learning instance based on the provided parameters. +get_session() -> str + Retrieves a unique identifier for the current user session, creating one if it does not exist. + +Constants +--------- +TERM_CHOICES : tuple + Terminal color choices for user interactive prompts, formatted with termcolor for readability. +""" + +import json +import random +import tempfile + +from dataclasses import dataclass, field +from datetime import datetime +from pathlib import Path +from typing import Optional, Tuple + +from dataclasses_json import dataclass_json +from termcolor import colored + +from Agents.gpt_engineer.core.default.disk_memory import DiskMemory +from Agents.gpt_engineer.core.prompt import Prompt + + +@dataclass_json +@dataclass +class Review: + """ + A dataclass that represents a user's review of the generated code. + + Attributes + ---------- + ran : Optional[bool] + Indicates whether the generated code ran without errors. + perfect : Optional[bool] + Indicates whether the generated code met all the user's requirements. + works : Optional[bool] + Indicates whether the generated code was useful, even if not perfect. + comments : str + Any additional comments provided by the user. + raw : str + A raw string representation of the user's responses. + """ + + ran: Optional[bool] + perfect: Optional[bool] + works: Optional[bool] + comments: str + raw: str + + +@dataclass_json +@dataclass +class Learning: + """ + A dataclass that encapsulates the learning data collected during a GPT Engineer session. + + Attributes + ---------- + prompt : str + A JSON string representing the prompt provided to GPT Engineer. + model : str + The name of the model used during the session. + temperature : float + The temperature setting used for the model's responses. + config : str + A JSON string representing the configuration settings for the session. + logs : str + A JSON string representing the logs of the session. + session : str + A unique identifier for the user session. + review : Optional[Review] + The user's review of the generated code. + timestamp : str + The UTC timestamp when the learning data was created. + version : str + The version of the learning data schema. + """ + + prompt: str + model: str + temperature: float + config: str + logs: str + session: str + review: Optional[Review] + timestamp: str = field(default_factory=lambda: datetime.utcnow().isoformat()) + version: str = "0.3" + + +TERM_CHOICES = ( + colored("y", "green") + + "/" + + colored("n", "red") + + "/" + + colored("u", "yellow") + + "(ncertain): " +) + + +def human_review_input() -> Optional[Review]: + """ + Interactively prompts the user to review the generated code and returns their feedback encapsulated in a Review object. + + This function will first check if the user has given consent to collect their feedback. If consent is given, it will ask the user a series of questions about the generated code's performance and capture their responses. + + Returns + ------- + Optional[Review] + A Review object containing the user's feedback, or None if consent is not given. + """ + print() + if not check_collection_consent(): + return None + print() + print( + colored("To help gpt-engineer learn, please answer 3 questions:", "light_green") + ) + print() + + ran = input("Did the generated code run at all? " + TERM_CHOICES) + ran = ask_for_valid_input(ran) + + if ran == "y": + perfect = input( + "Did the generated code do everything you wanted? " + TERM_CHOICES + ) + perfect = ask_for_valid_input(perfect) + + if perfect != "y": + useful = input("Did the generated code do anything useful? " + TERM_CHOICES) + useful = ask_for_valid_input(useful) + else: + useful = "" + else: + perfect = "" + useful = "" + + if perfect != "y": + comments = input( + "If you have time, please explain what was not working " + + colored("(ok to leave blank)\n", "light_green") + ) + else: + comments = "" + + return Review( + raw=", ".join([ran, perfect, useful]), + ran={"y": True, "n": False, "u": None, "": None}[ran], + works={"y": True, "n": False, "u": None, "": None}[useful], + perfect={"y": True, "n": False, "u": None, "": None}[perfect], + comments=comments, + ) + + +def ask_for_valid_input(ran): + while ran not in ("y", "n", "u"): + ran = input("Invalid input. Please enter y, n, or u: ") + return ran + + +def check_collection_consent() -> bool: + """ + Checks if the user has previously given consent to store their data for feedback collection. + + This function looks for a file that stores the user's consent status. If the file exists and contains 'true', consent is assumed. If the file does not exist or does not contain 'true', the function will prompt the user for consent. + + Returns + ------- + bool + True if the user has given consent, False otherwise. + """ + path = Path(".gpte_consent") + if path.exists() and path.read_text() == "true": + return True + else: + return ask_collection_consent() + + +def ask_collection_consent() -> bool: + """ + Asks the user for their consent to store their data for the purpose of improving the GPT Engineer tool. + + The user's response is recorded in a file for future reference. If the user consents, the function will write 'true' to the file. If the user does not consent, no data will be collected, and the function will not modify the file. + + Returns + ------- + bool + True if the user consents, False otherwise. + """ + answer = input( + "Is it ok if we store your prompts to help improve GPT Engineer? (y/n)" + ) + while answer.lower() not in ("y", "n"): + answer = input("Invalid input. Please enter y or n: ") + + if answer.lower() == "y": + path = Path(".gpte_consent") + path.write_text("true") + print(colored("Thank you️", "light_green")) + print() + print( + "(If you no longer wish to participate in data collection, delete the file .gpte_consent)" + ) + return True + else: + print( + colored( + "No worries! GPT Engineer will not collect your prompts. ❤️", + "light_green", + ) + ) + return False + + +def extract_learning( + prompt: Prompt, + model: str, + temperature: float, + config: Tuple[str, ...], + memory: DiskMemory, + review: Review, +) -> Learning: + """ + Constructs a Learning object containing the session's metadata and user feedback. + + Parameters + ---------- + prompt : str + The initial prompt provided to the GPT Engineer. + model : str + The name of the model used during the session. + temperature : float + The temperature setting used for the model's responses. + config : Tuple[str, ...] + A tuple representing the configuration settings for the session. + memory : DiskMemory + An object representing the disk memory used during the session. + review : Review + The user's review of the generated code. + + Returns + ------- + Learning + An instance of Learning containing all the session details and user feedback. + """ + return Learning( + prompt=prompt.to_json(), + model=model, + temperature=temperature, + config=json.dumps(config), + session=get_session(), + logs=memory.to_json(), + review=review, + ) + + +def get_session() -> str: + """ + Retrieves or generates a unique identifier for the current user session. + + This function attempts to read a unique user ID from a temporary file. If the file does not exist, it generates a new random ID, writes it to the file, and returns it. This ID is used to uniquely identify the user's session. + + Returns + ------- + str + A unique identifier for the user session. + """ + path = Path(tempfile.gettempdir()) / "gpt_engineer_user_id.txt" + + try: + if path.exists(): + user_id = path.read_text() + else: + # random uuid: + user_id = str(random.randint(0, 2**32)) + path.write_text(user_id) + return user_id + except IOError: + return "ephemeral_" + str(random.randint(0, 2**32)) diff --git a/backend/Agents/gpt_engineer/applications/cli/main.py b/backend/Agents/gpt_engineer/applications/cli/main.py new file mode 100644 index 000000000..4cf69ccbb --- /dev/null +++ b/backend/Agents/gpt_engineer/applications/cli/main.py @@ -0,0 +1,574 @@ +""" +Fixed non-interactive CLI implementation +This removes ALL interactive elements and makes it truly returnable. +""" +import time +import difflib +import json +import logging +from datetime import datetime +import os +import platform +import subprocess +import sys +from pathlib import Path +from typing import Optional, Dict, Any, Tuple +from fastapi import WebSocket +import openai +from dotenv import load_dotenv +from langchain.globals import set_llm_cache +from langchain_community.cache import SQLiteCache +from termcolor import colored +from firebase_admin import App, db + +# Import your existing modules +from Agents.gpt_engineer.applications.cli.cli_agent import CliAgent +from Agents.gpt_engineer.applications.cli.file_selector import FileSelector +from Agents.gpt_engineer.core.ai import AI +from Agents.gpt_engineer.core.default.disk_execution_env import DiskExecutionEnv +from Agents.gpt_engineer.core.default.disk_memory import DiskMemory +from Agents.gpt_engineer.core.default.file_store import FileStore +from Agents.gpt_engineer.core.default.paths import PREPROMPTS_PATH, memory_path +from Agents.gpt_engineer.core.default.steps import ( + execute_entrypoint, + gen_code, + handle_improve_mode, + improve_fn as improve_fn, +) +from Agents.gpt_engineer.core.files_dict import FilesDict +from Agents.gpt_engineer.core.git import stage_uncommitted_to_git +from Agents.gpt_engineer.core.preprompts_holder import PrepromptsHolder +from Agents.gpt_engineer.core.prompt import Prompt +from Agents.gpt_engineer.tools.custom_steps import clarified_gen, lite_gen, self_heal +# from modules.Chat.history.save_history_user import save_history_user +# from modules.Chat.history.save_history_system import save_history_system + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger("main_logger") + +class GPTEngineerResult: + """Class to hold the results of GPT Engineer execution.""" + + def __init__(self, + success: bool = False, + files_dict: Optional[FilesDict] = None, + error_message: Optional[str] = None, + changes_made: bool = False, + token_usage: Optional[Dict[str, Any]] = None, + system_info: Optional[Dict[str, Any]] = None, + diff_output: Optional[str] = None): + self.success = success + self.files_dict = files_dict + self.error_message = error_message + self.changes_made = changes_made + self.token_usage = token_usage + self.system_info = system_info + self.diff_output = diff_output + + def to_dict(self) -> Dict[str, Any]: + """Convert result to dictionary.""" + return { + 'success': self.success, + 'files_dict': self.files_dict.to_dict() if self.files_dict else None, + 'error_message': self.error_message, + 'changes_made': self.changes_made, + 'token_usage': self.token_usage, + 'system_info': self.system_info, + 'diff_output': self.diff_output + } + + +class NonInteractiveFileSelector: + """Non-interactive version of FileSelector that doesn't prompt user.""" + + def __init__(self, project_path: str): + self.project_path = project_path + + def ask_for_files(self, skip_file_selection: bool = True) -> Tuple[FilesDict, bool]: + """Non-interactive file selection - returns all relevant files.""" + files_dict = FilesDict() + project_path = Path(self.project_path) + + # Extensões de arquivos de código, incluindo React/Vite + code_extensions = { + '.py', '.js', '.jsx', '.ts', '.tsx', '.mjs', '.cjs', + '.html', '.css', '.json', '.txt', '.md', + '.yml', '.yaml', '.toml', '.env', '.gitignore' + } + + for file_path in project_path.rglob('*'): + if ( + file_path.is_file() and + file_path.suffix.lower() in code_extensions and + not any(part.startswith('.') for part in file_path.parts) and + 'node_modules' not in file_path.parts and + '__pycache__' not in file_path.parts + ): + try: + relative_path = file_path.relative_to(project_path) + with file_path.open('r', encoding='utf-8', errors='ignore') as f: + content = f.read() + files_dict[str(relative_path)] = content + except Exception as e: + print(f"Warning: Could not read {file_path}: {e}") + + # False indica que não é só linters, mas uso normal + return files_dict, False + +def load_env_if_needed(): + """Load environment variables if the OPENAI_API_KEY is not already set.""" + if os.getenv("OPENAI_API_KEY") is None: + load_dotenv() + if os.getenv("OPENAI_API_KEY") is None: + load_dotenv(dotenv_path=os.path.join(os.getcwd(), ".env")) + + openai.api_key = os.getenv("OPENAI_API_KEY") + + if os.getenv("ANTHROPIC_API_KEY") is None: + load_dotenv() + if os.getenv("ANTHROPIC_API_KEY") is None: + load_dotenv(dotenv_path=os.path.join(os.getcwd(), ".env")) + + +def concatenate_paths(base_path, sub_path): + """Compute the relative path from base_path to sub_path.""" + relative_path = os.path.relpath(sub_path, base_path) + if not relative_path.startswith(".."): + return sub_path + return os.path.normpath(os.path.join(base_path, sub_path)) + + +def load_prompt_non_interactive( + input_repo: DiskMemory, + improve_mode: bool, + prompt_file: str, + image_directory: str, + entrypoint_prompt_file: str = "", + default_prompt: str = "", + default_improve_prompt: str = "" +) -> Prompt: + """Load prompt from file or use default prompts (non-interactive version).""" + + if os.path.isdir(prompt_file): + raise ValueError( + f"The path to the prompt, {prompt_file}, already exists as a directory. " + "No prompt can be read from it. Please specify a prompt file using --prompt_file" + ) + + prompt_str = input_repo.get(prompt_file) + if prompt_str: + print(colored("Using prompt from file:", "green"), prompt_file) + print(prompt_str) + else: + if not improve_mode: + if not default_prompt: + raise ValueError( + "No prompt file found and no default_prompt provided. " + "Please provide a prompt file or default_prompt parameter." + ) + prompt_str = default_prompt + print(colored("Using default prompt:", "yellow")) + print(prompt_str) + else: + if not default_improve_prompt: + raise ValueError( + "No prompt file found and no default_improve_prompt provided. " + "Please provide a prompt file or default_improve_prompt parameter." + ) + prompt_str = default_improve_prompt + print(colored("Using default improve prompt:", "yellow")) + print(prompt_str) + + if entrypoint_prompt_file == "": + entrypoint_prompt = "" + else: + full_entrypoint_prompt_file = concatenate_paths( + input_repo.path, entrypoint_prompt_file + ) + if os.path.isfile(full_entrypoint_prompt_file): + entrypoint_prompt = input_repo.get(full_entrypoint_prompt_file) + else: + raise ValueError("The provided file at --entrypoint-prompt does not exist") + + if image_directory == "": + return Prompt(prompt_str, entrypoint_prompt=entrypoint_prompt) + + full_image_directory = concatenate_paths(input_repo.path, image_directory) + if os.path.isdir(full_image_directory): + if len(os.listdir(full_image_directory)) == 0: + raise ValueError("The provided --image_directory is empty.") + image_repo = DiskMemory(full_image_directory) + return Prompt( + prompt_str, + image_repo.get(".").to_dict(), + entrypoint_prompt=entrypoint_prompt, + ) + else: + raise ValueError("The provided --image_directory is not a directory.") + + +def get_preprompts_path(use_custom_preprompts: bool, input_path: Path) -> Path: + """Get the path to the preprompts, using custom ones if specified.""" + original_preprompts_path = PREPROMPTS_PATH + if not use_custom_preprompts: + return original_preprompts_path + + custom_preprompts_path = input_path / "preprompts" + if not custom_preprompts_path.exists(): + custom_preprompts_path.mkdir() + + for file in original_preprompts_path.glob("*"): + if not (custom_preprompts_path / file.name).exists(): + (custom_preprompts_path / file.name).write_text(file.read_text()) + return custom_preprompts_path + + +def compare_files(f1: FilesDict, f2: FilesDict) -> str: + """Compare two FilesDict objects and return diff as string.""" + def colored_diff(s1, s2): + lines1 = s1.splitlines() + lines2 = s2.splitlines() + diff = difflib.unified_diff(lines1, lines2, lineterm="") + + RED = "\033[38;5;202m" + GREEN = "\033[92m" + RESET = "\033[0m" + + colored_lines = [] + for line in diff: + if line.startswith("+"): + colored_lines.append(GREEN + line + RESET) + elif line.startswith("-"): + colored_lines.append(RED + line + RESET) + else: + colored_lines.append(line) + + return "\n".join(colored_lines) + + diff_output = [] + for file in sorted(set(f1) | set(f2)): + diff = colored_diff(f1.get(file, ""), f2.get(file, "")) + if diff: + diff_output.append(f"Changes to {file}:") + diff_output.append(diff) + + return "\n".join(diff_output) + + +def get_system_info() -> Dict[str, Any]: + """Get system information for debugging.""" + system_info = { + "os": platform.system(), + "os_version": platform.version(), + "architecture": platform.machine(), + "python_version": sys.version, + "packages": format_installed_packages(get_installed_packages()), + } + return system_info + + +def get_installed_packages(): + """Get installed Python packages.""" + try: + result = subprocess.run( + [sys.executable, "-m", "pip", "list", "--format=json"], + capture_output=True, + text=True, + ) + packages = json.loads(result.stdout) + return {pkg["name"]: pkg["version"] for pkg in packages} + except Exception as e: + return str(e) + + +def format_installed_packages(packages): + """Format installed packages for display.""" + if isinstance(packages, str): + return packages + return "\n".join([f"{name}: {version}" for name, version in packages.items()]) + + +# Non-interactive execution function that doesn't prompt +def non_interactive_execute_entrypoint(ai, execution_env, files_dict, **kwargs): + """Non-interactive version that doesn't ask for user input.""" + print("Skipping execution confirmation in non-interactive mode") + return files_dict + + +def run_gpt_engineer( + project_path: str = ".", + model: str = None, + temperature: float = 0.1, + improve_mode: bool = False, + lite_mode: bool = False, + clarify_mode: bool = False, + self_heal_mode: bool = False, + azure_endpoint: str = "", + use_custom_preprompts: bool = False, + llm_via_clipboard: bool = False, + verbose: bool = False, + debug: bool = False, + prompt_file: str = "prompt", + entrypoint_prompt_file: str = "", + image_directory: str = "", + use_cache: bool = False, + skip_file_selection: bool = True, + no_execution: bool = False, + diff_timeout: int = 3, + default_prompt: str = "", + default_improve_prompt: str = "", + auto_apply_changes: bool = True, + return_system_info: bool = False, + skip_entrypoint_execution: bool = True, + WebSocketFlag: Optional[WebSocket] = None, + session_id: Optional[str] = None, + user_email: Optional[str] = None, + appcompany: Optional[App] = None, +) -> GPTEngineerResult: + """ + Non-interactive version of the main GPT Engineer function. + + Parameters + ---------- + skip_entrypoint_execution : bool + If True, skips the execution step that asks for user confirmation + + Returns + ------- + GPTEngineerResult + Object containing the results of the operation. + """ + + try: + # save_history_user(session_id, user_email, default_prompt, appcompany) + + + # Set model default + if model is None: + model = os.environ.get("MODEL_NAME", "gpt-4o") + + # Return system info if requested + if return_system_info: + sys_info = get_system_info() + return GPTEngineerResult( + success=True, + system_info=sys_info + ) + + # Validate arguments + if improve_mode and (clarify_mode or lite_mode): + return GPTEngineerResult( + success=False, + error_message="Error: Clarify and lite mode are not compatible with improve mode." + ) + + # Set up logging + logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO) + if use_cache: + set_llm_cache(SQLiteCache(database_path=".langchain.db")) + + load_env_if_needed() + + if WebSocketFlag == None: + ai = AI( + model_name=model, + temperature=temperature, + azure_endpoint=azure_endpoint, + ActiveWebSocket=None + ) + else: + ai = AI( + model_name=model, + temperature=temperature, + azure_endpoint=azure_endpoint, + ActiveWebSocket=WebSocketFlag, + session_id=session_id, + user_email=user_email, + appcompany=appcompany, + ) + + path = Path(project_path) + print("Running gpt-engineer in", path.absolute(), "\n") + + + # Load prompt (non-interactive version) + prompt = load_prompt_non_interactive( + DiskMemory(path), + improve_mode, + prompt_file, + image_directory, + entrypoint_prompt_file, + default_prompt, + default_improve_prompt + ) + + if not ai.vision: + prompt.image_urls = None + + # Configure generation function + if clarify_mode: + code_gen_fn = clarified_gen + elif lite_mode: + code_gen_fn = lite_gen + else: + code_gen_fn = gen_code + + # Configure execution function - use non-interactive version + if skip_entrypoint_execution: + execution_fn = non_interactive_execute_entrypoint + elif self_heal_mode: + execution_fn = self_heal + else: + execution_fn = execute_entrypoint + + preprompts_holder = PrepromptsHolder( + get_preprompts_path(use_custom_preprompts, Path(project_path)) + ) + + memory = DiskMemory(memory_path(project_path)) + memory.archive_logs() + + execution_env = DiskExecutionEnv() + agent = CliAgent.with_default_config( + memory, + execution_env, + ai=ai, + code_gen_fn=code_gen_fn, + improve_fn=improve_fn, + process_code_fn=execution_fn, + preprompts_holder=preprompts_holder, + repo_path=project_path + ) + + files = FileStore(project_path) + files_dict = None + diff_output = None + changes_made = False + + if not no_execution: + if improve_mode: + # Use non-interactive file selector + file_selector = NonInteractiveFileSelector(project_path) + files_dict_before, is_linting = file_selector.ask_for_files( + skip_file_selection=skip_file_selection + ) + + # Lint the code + if is_linting: + files_dict_before = files.linting(files_dict_before) + + files_dict = handle_improve_mode( + prompt, agent, memory, files_dict_before, diff_timeout=diff_timeout + ) + + if not files_dict or files_dict_before == files_dict: + return GPTEngineerResult( + success=False, + error_message=f"No changes applied. Debug log available in {memory.path}/logs folder" + ) + else: + diff_output = compare_files(files_dict_before, files_dict) + changes_made = True + + if not auto_apply_changes: + # Return the diff for manual review + return GPTEngineerResult( + success=True, + files_dict=files_dict, + changes_made=changes_made, + diff_output=diff_output, + token_usage="0" + ) + + else: + files_dict = agent.init(prompt) + changes_made = True + + # Apply changes + stage_uncommitted_to_git(path, files_dict, improve_mode) + files.push(files_dict) + + return GPTEngineerResult( + success=True, + files_dict=files_dict, + changes_made=changes_made, + token_usage="0", + diff_output=diff_output + ) + + except Exception as e: + if debug: + import traceback + traceback.print_exc() + + return GPTEngineerResult( + success=False, + error_message=str(e) + ) + + +def _get_token_usage(ai) -> Dict[str, Any]: + """Helper function to get token usage information.""" + try: + if hasattr(ai, 'token_usage_log'): + if ai.token_usage_log.is_openai_model(): + return { + 'cost': ai.token_usage_log.usage_cost(), + 'type': 'openai' + } + elif os.getenv("LOCAL_MODEL"): + return { + 'cost': 0.0, + 'type': 'local' + } + else: + return { + 'total_tokens': ai.token_usage_log.total_tokens(), + 'type': 'other' + } + except Exception: + pass + return {'type': 'unknown'} + + +# # Simple test script +# if __name__ == "__main__": +# # Test the non-interactive function +# result = run_gpt_engineer( +# project_path="./my_project", +# default_prompt="Create a simple web server using Flask", +# model="gpt-4o", +# auto_apply_changes=True, +# skip_entrypoint_execution=True, +# verbose=True +# ) + +# print("\n" + "="*50) +# print("RESULT:") +# print("="*50) + +# if result.success: +# print("✅ GPT Engineer completed successfully") +# print(f"📁 Changes made: {result.changes_made}") + +# if result.files_dict: +# print(f"📄 Generated files:") +# for filename in result.files_dict.keys(): +# print(f" - {filename}") + +# if result.token_usage: +# if result.token_usage['type'] == 'openai': +# print(f"💰 Total API cost: ${result.token_usage.get('cost', 'unknown')}") +# elif result.token_usage['type'] == 'local': +# print("💰 Total API cost: $0.0 (using local LLM)") +# else: +# print(f"🔢 Total tokens used: {result.token_usage.get('total_tokens', 'unknown')}") + +# if result.diff_output: +# print("\n📝 Changes made:") +# print(result.diff_output) + +# else: +# print(f"❌ GPT Engineer failed: {result.error_message}") + +# print("\nResult object:", result.to_dict()) \ No newline at end of file diff --git a/backend/Agents/gpt_engineer/benchmark/__init__.py b/backend/Agents/gpt_engineer/benchmark/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/Agents/gpt_engineer/benchmark/__main__.py b/backend/Agents/gpt_engineer/benchmark/__main__.py new file mode 100644 index 000000000..7a0022127 --- /dev/null +++ b/backend/Agents/gpt_engineer/benchmark/__main__.py @@ -0,0 +1,154 @@ +""" +Main entry point for the benchmarking tool. + +This module provides a command-line interface for running benchmarks using Typer. +It allows users to specify the path to an agent, the benchmark(s) to run, and other +options such as verbosity. + +Functions +--------- +get_agent : function + Dynamically imports and returns the default configuration agent from the given path. + +main : function + The main function that runs the specified benchmarks with the given agent. + Outputs the results to the console. + +Attributes +---------- +__name__ : str + The standard boilerplate for invoking the main function when the script is executed. +""" +import importlib +import os.path +import sys + +from typing import Annotated, Optional + +import typer + +from langchain.globals import set_llm_cache +from langchain_community.cache import SQLiteCache + +from Agents.gpt_engineer.applications.cli.main import load_env_if_needed +from Agents.gpt_engineer.benchmark.bench_config import BenchConfig +from Agents.gpt_engineer.benchmark.benchmarks.load import get_benchmark +from Agents.gpt_engineer.benchmark.run import export_yaml_results, print_results, run + +app = typer.Typer( + context_settings={"help_option_names": ["-h", "--help"]} +) # creates a CLI app + + +def get_agent(path): + """ + Dynamically imports and returns the default configuration agent from the given path. + + Parameters + ---------- + path : str + The file path to the module containing the default configuration agent. + + Returns + ------- + BaseAgent + An instance of the imported default configuration agent. + """ + # Dynamically import the python module at path + sys.path.append(os.path.dirname(path)) + agent_module = importlib.import_module(path.replace("/", ".").replace(".py", "")) + return agent_module.default_config_agent() + + +@app.command( + help=""" + Run any benchmark(s) against the specified agent. + + \b + Currently available benchmarks are: apps and mbpp + """ +) +def main( + path_to_agent: Annotated[ + str, + typer.Argument( + help="python file that contains a function called 'default_config_agent'" + ), + ], + bench_config: Annotated[ + str, typer.Argument(help="optional task name in benchmark") + ] = os.path.join(os.path.dirname(__file__), "default_bench_config.toml"), + yaml_output: Annotated[ + Optional[str], + typer.Option(help="print results for each task", show_default=False), + ] = None, + verbose: Annotated[ + Optional[bool], + typer.Option(help="print results for each task", show_default=False), + ] = False, + use_cache: Annotated[ + Optional[bool], + typer.Option( + help="Speeds up computations and saves tokens when running the same prompt multiple times by caching the LLM response.", + show_default=False, + ), + ] = True, +): + """ + The main function that runs the specified benchmarks with the given agent and outputs the results to the console. + + Parameters + ---------- + path_to_agent : str + The file path to the Python module that contains a function called 'default_config_agent'. + bench_config : str, default=default_bench_config.toml + Configuration file for choosing which benchmark problems to run. See default config for more details. + yaml_output: Optional[str], default=None + Pass a path to a yaml file to have results written to file. + verbose : Optional[bool], default=False + A flag to indicate whether to print results for each task. + use_cache : Optional[bool], default=True + Speeds up computations and saves tokens when running the same prompt multiple times by caching the LLM response. + Returns + ------- + None + """ + if use_cache: + set_llm_cache(SQLiteCache(database_path=".langchain.db")) + load_env_if_needed() + config = BenchConfig.from_toml(bench_config) + print("using config file: " + bench_config) + benchmarks = list() + benchmark_results = dict() + for specific_config_name in vars(config): + specific_config = getattr(config, specific_config_name) + if hasattr(specific_config, "active"): + if specific_config.active: + benchmarks.append(specific_config_name) + + for benchmark_name in benchmarks: + benchmark = get_benchmark(benchmark_name, config) + if len(benchmark.tasks) == 0: + print( + benchmark_name + + " was skipped, since no tasks are specified. Increase the number of tasks in the config file at: " + + bench_config + ) + continue + agent = get_agent(path_to_agent) + + results = run(agent, benchmark, verbose=verbose) + print( + f"\n--- Results for agent {path_to_agent}, benchmark: {benchmark_name} ---" + ) + print_results(results) + print() + benchmark_results[benchmark_name] = { + "detailed": [result.to_dict() for result in results] + } + if yaml_output is not None: + export_yaml_results(yaml_output, benchmark_results, config.to_dict()) + + +if __name__ == "__main__": + typer.run(main) diff --git a/backend/Agents/gpt_engineer/benchmark/bench_config.py b/backend/Agents/gpt_engineer/benchmark/bench_config.py new file mode 100644 index 000000000..a209dad82 --- /dev/null +++ b/backend/Agents/gpt_engineer/benchmark/bench_config.py @@ -0,0 +1,69 @@ +from dataclasses import dataclass, field +from pathlib import Path + +from tomlkit.items import Integer + +from Agents.gpt_engineer.core.project_config import read_config + + +@dataclass +class AppsConfig: + active: bool | None = True + test_start_index: int | None = 0 + test_end_index: int | None = 1 + train_start_index: int | None = 0 + train_end_index: int | None = 0 + examples_per_problem: int | None = 10 + + +@dataclass +class MbppConfig: + active: bool | None = True + test_len: int | None = 1 + train_len: int | None = 0 + + +@dataclass +class GptmeConfig: + active: bool | None = True + + +@dataclass +class BenchConfig: + """Configuration for the GPT Engineer CLI and gptengineer.app via `gpt-engineer.toml`.""" + + apps: AppsConfig = field(default_factory=AppsConfig) + mbpp: MbppConfig = field(default_factory=MbppConfig) + gptme: GptmeConfig = field(default_factory=GptmeConfig) + + @classmethod + def from_toml(cls, config_file: Path | str): + if isinstance(config_file, str): + config_file = Path(config_file) + config_dict = read_config(config_file) + return cls.from_dict(config_dict) + + @classmethod + def from_dict(cls, config_dict: dict): + return cls( + apps=AppsConfig(**config_dict.get("apps", {})), + mbpp=MbppConfig(**config_dict.get("mbpp", {})), + gptme=GptmeConfig(**config_dict.get("gptme", {})), + ) + + @staticmethod + def recursive_resolve(data_dict): + for key, value in data_dict.items(): + if isinstance(value, Integer): + data_dict[key] = int(value) + elif isinstance(value, dict): + BenchConfig.recursive_resolve(value) + + def to_dict(self): + dict_config = { + benchmark_name: {key: val for key, val in spec_config.__dict__.items()} + for benchmark_name, spec_config in self.__dict__.items() + } + BenchConfig.recursive_resolve(dict_config) + + return dict_config diff --git a/backend/Agents/gpt_engineer/benchmark/benchmarks/apps/load.py b/backend/Agents/gpt_engineer/benchmark/benchmarks/apps/load.py new file mode 100644 index 000000000..3cd5f4582 --- /dev/null +++ b/backend/Agents/gpt_engineer/benchmark/benchmarks/apps/load.py @@ -0,0 +1,118 @@ +""" +Module for loading APPS evaluation tasks. + +This module provides functionality to load tasks for evaluating GPT-based models +on smaller, more focused tasks. It defines a set of tasks with predefined prompts +and assertions to benchmark the performance of AI models. + +Functions +--------- +load_apps : function + Loads the APPS benchmark, which consists of a series coding problems. +""" +from pathlib import Path +from subprocess import TimeoutExpired +from typing import Union + +from datasets import Dataset, DatasetDict, load_dataset, load_from_disk + +from Agents.gpt_engineer.benchmark.bench_config import AppsConfig +from Agents.gpt_engineer.benchmark.benchmarks.apps.problem import Problem +from Agents.gpt_engineer.benchmark.types import Assertable, Benchmark, Task +from Agents.gpt_engineer.core.default.disk_execution_env import DiskExecutionEnv +from Agents.gpt_engineer.core.files_dict import FilesDict +from Agents.gpt_engineer.core.prompt import Prompt + +DATASET_PATH = Path(__file__).parent / "dataset" + + +class AppsAssertion: + def __init__(self, expected: str, command: str): + self.expected_output = self._format(expected) + self.command = command + + def evaluate(self, assertable: Assertable) -> bool: + # Create new execution environment for every run to avoid side effects + env = DiskExecutionEnv() + env.upload(assertable.files) + pro = env.popen(self.command) + try: + stdout, stderr = pro.communicate(timeout=2) + stdout, stderr = stdout.decode("utf-8"), stderr.decode("utf-8") + except TimeoutExpired: + print("Execution Timeout") + return False + + return self.expected_output in self._format(stdout) + + def _format(self, string: str) -> str: + return string.replace(" ", "").replace("\n", "") + + +def _get_dataset() -> Union[Dataset, DatasetDict]: + try: + return load_from_disk(str(DATASET_PATH)) + except FileNotFoundError: + print("Dataset not found locally, downloading...") + + dataset = load_dataset("codeparrot/apps", trust_remote_code=True) + dataset.save_to_disk(str(DATASET_PATH)) + + return dataset + + +def load_apps(config: AppsConfig) -> Benchmark: + """ + Loads the APPS benchmark, which consists of a series coding problems. + + Returns + ------- + Benchmark + A Benchmark object containing a list of Task objects for the APPS evaluation. + """ + dataset = _get_dataset() + tasks = [] + problems = list() + for dataset_type in ["test", "train"]: + problems += [ + Problem( + id=problem["problem_id"], + question=problem["question"], + input_output=problem["input_output"], + starter_code=problem["starter_code"], + ) + for index, problem in enumerate(dataset[dataset_type]) + if (index < config.__getattribute__(dataset_type + "_end_index")) + and (index >= config.__getattribute__(dataset_type + "_start_index")) + ] + + for problem in problems: + prompt = Prompt( + problem.question + + "\nThe program, including its inputs, should be run from the command " + "line like 'python main \"input1 input2 etc \"', with all inputs inside " + "the quotation marks. The program should not read inputs from stdin." + ) + + tasks.append( + Task( + name=str(problem.id), + initial_code=FilesDict({"main.py": problem.starter_code}), + command=None, # Explicitly setting `None` because each assertion specifies its command + prompt=prompt, + assertions={ + f"correct output {i}": AppsAssertion( + expected=problem.outputs[i], + command="python main.py" + ' "' + problem.inputs[i] + '"', + ).evaluate + for i in range( + min(len(problem.outputs), config.examples_per_problem) + ) + }, + ) + ) + + return Benchmark( + name="apps", + tasks=tasks, + ) diff --git a/backend/Agents/gpt_engineer/benchmark/benchmarks/apps/problem.py b/backend/Agents/gpt_engineer/benchmark/benchmarks/apps/problem.py new file mode 100644 index 000000000..b44567a42 --- /dev/null +++ b/backend/Agents/gpt_engineer/benchmark/benchmarks/apps/problem.py @@ -0,0 +1,25 @@ +import json + +from dataclasses import dataclass +from functools import cached_property +from typing import List + + +@dataclass(frozen=True) +class Problem: + id: int + question: str + input_output: str + starter_code: str + + @property + def inputs(self) -> List[str]: + return self._parsed_inputs_outputs["inputs"] + + @property + def outputs(self) -> List[str]: + return self._parsed_inputs_outputs["outputs"] + + @cached_property + def _parsed_inputs_outputs(self): + return json.loads(self.input_output.replace("\n", "")) diff --git a/backend/Agents/gpt_engineer/benchmark/benchmarks/apps/problems.py b/backend/Agents/gpt_engineer/benchmark/benchmarks/apps/problems.py new file mode 100644 index 000000000..a4481104c --- /dev/null +++ b/backend/Agents/gpt_engineer/benchmark/benchmarks/apps/problems.py @@ -0,0 +1,3 @@ +# TODO: Pick problems +# Temporary testing against these problems +PROBLEM_IDS = list(range(0, 50)) diff --git a/backend/Agents/gpt_engineer/benchmark/benchmarks/gptme/load.py b/backend/Agents/gpt_engineer/benchmark/benchmarks/gptme/load.py new file mode 100644 index 000000000..d6e82b04c --- /dev/null +++ b/backend/Agents/gpt_engineer/benchmark/benchmarks/gptme/load.py @@ -0,0 +1,104 @@ +""" +Module for loading GPT-Me evaluation tasks. + +This module provides functionality to load tasks for evaluating GPT-based models +on smaller, more focused tasks. It defines a set of tasks with predefined prompts +and assertions to benchmark the performance of AI models. + +Functions +--------- +load_gptme : function + Loads the GPT-Me benchmark, which consists of a series of tasks for evaluation. +""" +from Agents.gpt_engineer.benchmark.bench_config import GptmeConfig +from Agents.gpt_engineer.benchmark.types import Benchmark, Task +from Agents.gpt_engineer.core.files_dict import FilesDict +from Agents.gpt_engineer.core.prompt import Prompt + + +def load_gptme(config: GptmeConfig) -> Benchmark: + """ + Loads the GPT-Me benchmark, which consists of a series of tasks for evaluation. + + Returns + ------- + Benchmark + A Benchmark object containing a list of Task objects for the GPT-Me evaluation. + """ + return Benchmark( + name="gptme", + tasks=[ + Task( + name="hello", + initial_code=FilesDict({"hello.py": "print('Hello, world!')"}), + command="python hello.py", + prompt=Prompt("Change the code in hello.py to print 'Hello, human!'"), + assertions={ + "correct output": lambda assertable: assertable.stdout + == "Hello, human!\n", + "correct file": lambda assertable: assertable.files[ + "hello.py" + ].strip() + == "print('Hello, human!')", + }, + ), + Task( + name="hello-patch", + initial_code=FilesDict({"hello.py": "print('Hello, world!')"}), + command="python hello.py", + prompt=Prompt("Patch the code in hello.py to print 'Hello, human!'"), + assertions={ + "correct output": lambda assertable: assertable.stdout + == "Hello, human!\n", + "correct file": lambda assertable: assertable.files[ + "hello.py" + ].strip() + == "print('Hello, human!')", + }, + ), + Task( + name="hello-ask", + initial_code=FilesDict({"hello.py": "print('Hello, world!')"}), + command="echo 'Erik' | python hello.py", + prompt=Prompt( + "modify hello.py to ask the user for their name and print 'Hello, !'. don't try to execute it" + ), + assertions={ + "correct output": lambda assertable: "Hello, Erik!" + in assertable.stdout, + }, + ), + Task( + name="prime100", + initial_code=FilesDict( + {} + ), # Empty dictionary since no initial code is provided + command="python prime.py", + prompt=Prompt( + "write a script prime.py that computes and prints the 100th prime number" + ), + assertions={ + "correct output": lambda assertable: "541" + in assertable.stdout.split(), + }, + ), + Task( + name="init-git", + initial_code=FilesDict( + {} + ), # Empty dictionary since no initial code is provided + command="git status", + prompt=Prompt( + "initialize a git repository, write a main.py file, and commit it" + ), + assertions={ + "clean exit": lambda assertable: assertable.process.returncode == 0, + "clean working tree": lambda assertable: "nothing to commit, working tree clean" + in assertable.stdout, + "main.py exists": lambda assertable: "main.py" in assertable.files, + "we have a commit": lambda assertable: "No commits yet" + not in assertable.stdout, + }, + ), + ], + ) diff --git a/backend/Agents/gpt_engineer/benchmark/benchmarks/load.py b/backend/Agents/gpt_engineer/benchmark/benchmarks/load.py new file mode 100644 index 000000000..44c10c04b --- /dev/null +++ b/backend/Agents/gpt_engineer/benchmark/benchmarks/load.py @@ -0,0 +1,48 @@ +""" +Module for loading benchmarks. + +This module provides a central point to access different benchmarks by name. +It maps benchmark names to their respective loading functions. + +Functions +--------- +get_benchmark : function + Retrieves a Benchmark object by name. Raises ValueError if the benchmark is unknown. +""" +from Agents.gpt_engineer.benchmark.bench_config import BenchConfig +from Agents.gpt_engineer.benchmark.benchmarks.apps.load import load_apps +from Agents.gpt_engineer.benchmark.benchmarks.gptme.load import load_gptme +from Agents.gpt_engineer.benchmark.benchmarks.mbpp.load import load_mbpp +from Agents.gpt_engineer.benchmark.types import Benchmark + +BENCHMARKS = { + "gptme": load_gptme, + "apps": load_apps, + "mbpp": load_mbpp, +} + + +def get_benchmark(name: str, config: BenchConfig) -> Benchmark: + """ + Retrieves a Benchmark object by name. Raises ValueError if the benchmark is unknown. + + Parameters + ---------- + name : str + The name of the benchmark to retrieve. + config : BenchConfig + Configuration object for the benchmarks. + + Returns + ------- + Benchmark + The Benchmark object corresponding to the given name. + + Raises + ------ + ValueError + If the benchmark name is not found in the BENCHMARKS mapping. + """ + if name not in BENCHMARKS: + raise ValueError(f"Unknown benchmark {name}.") + return BENCHMARKS[name](config.__getattribute__(name)) diff --git a/backend/Agents/gpt_engineer/benchmark/benchmarks/mbpp/load.py b/backend/Agents/gpt_engineer/benchmark/benchmarks/mbpp/load.py new file mode 100644 index 000000000..ffdab4ec7 --- /dev/null +++ b/backend/Agents/gpt_engineer/benchmark/benchmarks/mbpp/load.py @@ -0,0 +1,114 @@ +""" +Module for loading MBPP evaluation tasks. + +This module provides functionality to load tasks for evaluating GPT-based models +on smaller, more focused tasks. It defines a set of tasks with predefined prompts +and assertions to benchmark the performance of AI models. + +Functions +--------- +load_mbpp : function + Loads the MBPP benchmark, which consists of a series coding problems. +""" +from pathlib import Path +from subprocess import TimeoutExpired +from typing import Union + +from datasets import Dataset, DatasetDict, load_dataset, load_from_disk + +from Agents.gpt_engineer.benchmark.bench_config import MbppConfig +from Agents.gpt_engineer.benchmark.benchmarks.mbpp.problem import Problem +from Agents.gpt_engineer.benchmark.types import Assertable, Benchmark, Task +from Agents.gpt_engineer.core.default.disk_execution_env import DiskExecutionEnv +from Agents.gpt_engineer.core.files_dict import FilesDict +from Agents.gpt_engineer.core.prompt import Prompt + +DATASET_PATH = Path(__file__).parent / "dataset" + + +class MbppAssertion: + def __init__(self, assertion: str): + self.assertion = assertion + + def evaluate(self, assertable: Assertable) -> bool: + generated_code = assertable.files["main.py"] + code_with_assertion = f"{generated_code}\n{self.assertion}" + + # Create new execution environment for every run to avoid side effects + env = DiskExecutionEnv() + env.upload(FilesDict({"main.py": code_with_assertion})) + pro = env.popen("python main.py") + + try: + stdout, stderr = pro.communicate(timeout=2) + stdout, stderr = stdout.decode("utf-8"), stderr.decode("utf-8") + except TimeoutExpired: + print("Execution Timeout") + return False + + return not stderr + + +def _get_dataset() -> Union[Dataset, DatasetDict]: + try: + return load_from_disk(str(DATASET_PATH)) + except FileNotFoundError: + print("Dataset not found locally, downloading...") + + dataset = load_dataset("mbpp", "sanitized", trust_remote_code=True) + dataset.save_to_disk(str(DATASET_PATH)) + + return dataset + + +def load_mbpp(config: MbppConfig) -> Benchmark: + """ + Loads the MBPP benchmark, which consists of a series coding problems. + + Returns + ------- + Benchmark + A Benchmark object containing a list of Task objects for the MBPP evaluation. + """ + dataset = _get_dataset() + tasks = [] + problems = [] + for dataset_type in ["test", "train"]: + problems += [ + Problem( + source_file=problem["source_file"], + task_id=problem["task_id"], + prompt=problem["prompt"], + code=problem["code"], + test_imports=problem["test_imports"], + test_list=problem["test_list"], + ) + for index, problem in enumerate(dataset[dataset_type]) + if index < config.__getattribute__(dataset_type + "_len") + ] + + for problem in problems: + prompt = Prompt( + problem.prompt + + "Please extend given function without changing it's declaration including arguments." + ) + + tasks.append( + Task( + name=str(problem.task_id), + initial_code=FilesDict({"main.py": problem.starting_code}), + command=None, # Explicitly setting `None` because each assertion runs code + prompt=prompt, + assertions={ + f"correct assertion {i}": MbppAssertion( + assertion=assertion + ).evaluate + for i, assertion in enumerate(problem.test_list) + }, + ) + ) + + return Benchmark( + name="mbpp", + tasks=tasks, + ) diff --git a/backend/Agents/gpt_engineer/benchmark/benchmarks/mbpp/problem.py b/backend/Agents/gpt_engineer/benchmark/benchmarks/mbpp/problem.py new file mode 100644 index 000000000..ca3cd0ad4 --- /dev/null +++ b/backend/Agents/gpt_engineer/benchmark/benchmarks/mbpp/problem.py @@ -0,0 +1,25 @@ +from dataclasses import dataclass +from typing import List + + +@dataclass(frozen=True) +class Problem: + source_file: int + task_id: str + prompt: str + code: str + test_imports: str + test_list: List[str] + + @property + def starting_code(self) -> str: + lines: List[str] = [] + + for line in self.code.split("\n"): + lines.append(line) + + if line.startswith("def "): + lines.append("pass # TODO: Implement method\n") + break + + return "\n".join(lines) diff --git a/backend/Agents/gpt_engineer/benchmark/benchmarks/mbpp/problems.py b/backend/Agents/gpt_engineer/benchmark/benchmarks/mbpp/problems.py new file mode 100644 index 000000000..c9dffd97a --- /dev/null +++ b/backend/Agents/gpt_engineer/benchmark/benchmarks/mbpp/problems.py @@ -0,0 +1,3 @@ +# TODO: Pick problems +# Temporary testing against these problems +PROBLEM_IDS = range(0, 100) diff --git a/backend/Agents/gpt_engineer/benchmark/default_bench_config.toml b/backend/Agents/gpt_engineer/benchmark/default_bench_config.toml new file mode 100644 index 000000000..50205dc70 --- /dev/null +++ b/backend/Agents/gpt_engineer/benchmark/default_bench_config.toml @@ -0,0 +1,16 @@ +# For apps, the maximal range is 0:5000 for both train and test +[apps] +active = true +test_start_index = 0 +test_end_index = 2 +train_start_index = 0 +train_end_index = 2 + +# For mbpp, the maximal range is 0:47 +[mbpp] +active = true +test_len = 2 +train_len = 2 + +[gptme] +active = true diff --git a/backend/Agents/gpt_engineer/benchmark/run.py b/backend/Agents/gpt_engineer/benchmark/run.py new file mode 100644 index 000000000..de303dadd --- /dev/null +++ b/backend/Agents/gpt_engineer/benchmark/run.py @@ -0,0 +1,150 @@ +""" +Module for running benchmarks. + +This module defines functions to run benchmarks using a given agent and to print +the results of the benchmark tasks. + +Functions +--------- +run : function + Runs the benchmark tasks using the provided agent and returns a list of TaskResult objects. + +print_results : function + Prints the results of the benchmark tasks to the console. +""" +import time + +from typing import List + +import yaml + +from Agents.gpt_engineer.benchmark.types import Assertable, Benchmark, TaskResult +from Agents.gpt_engineer.core.base_agent import BaseAgent +from Agents.gpt_engineer.core.default.disk_execution_env import DiskExecutionEnv + + +def run( + agent: BaseAgent, + benchmark: Benchmark, + verbose=False, +) -> List[TaskResult]: + """ + Runs the benchmark tasks using the provided agent and returns a list of TaskResult objects. + + Parameters + ---------- + agent : BaseAgent + The agent to use for running the benchmark tasks. + benchmark : Benchmark + The benchmark containing the tasks to run. + verbose : bool, default=False + A flag to indicate whether to print verbose output during the benchmark. + + Returns + ------- + List[TaskResult] + A list of TaskResult objects representing the results of the benchmark tasks. + """ + task_results = [] + for task in benchmark.tasks: + print(f"--> Running task: {task.name}\n") + + t0 = time.time() + files_dict = agent.improve(task.initial_code, task.prompt) + t1 = time.time() + + env = DiskExecutionEnv() + env.upload(files_dict) + + if task.command: + p = env.popen(task.command) + stdout, stderr = p.communicate(benchmark.timeout) + stdout, stderr = stdout.decode("utf-8"), stderr.decode("utf-8") + else: + p, stdout, stderr = None, None, None + + exec_result = Assertable( + files=files_dict, + env=env, + process=p, + stdout=stdout, + stderr=stderr, + ) + + task_results.append( + TaskResult( + task_name=task.name, + assertion_results={ + assertion_name: assertion(exec_result) + for assertion_name, assertion in task.assertions.items() + }, + duration=t1 - t0, + ) + ) + + if verbose: + print_results(task_results) + return task_results + + +def print_results(results: list[TaskResult]): + """ + Prints the results of the benchmark tasks to the console. + + Parameters + ---------- + results : list[TaskResult] + A list of TaskResult objects representing the results of the benchmark tasks. + + Returns + ------- + None + """ + for task_result in results: + print(f"\n--- Results for {task_result.task_name} ---") + print(f"{task_result.task_name} ({task_result.duration:.2f}s)") + for assertion_name, assertion_result in task_result.assertion_results.items(): + checkmark = "✅" if assertion_result else "❌" + print(f" {checkmark} {assertion_name}") + print() + + success_rates = [task_result.success_rate for task_result in results] + avg_success_rate = sum(success_rates) / len(results) + + total_time = sum(task_result.duration for task_result in results) + + correct_assertions = sum( + sum( + assertion_result + for assertion_result in task_result.assertion_results.values() + ) + for task_result in results + ) + total_assertions = sum( + len(task_result.assertion_results) for task_result in results + ) + correct_tasks = [ + task_result for task_result in results if task_result.success_rate == 1 + ] + + print("--- Results ---") + print(f"Total time: {total_time:.2f}s") + print(f"Completely correct tasks: {len(correct_tasks)}/{len(results)}") + print(f"Total correct assertions: {correct_assertions}/{total_assertions}") + print(f"Average success rate: {avg_success_rate * 100}% on {len(results)} tasks") + print("--- Results ---") + print() + + +def export_yaml_results(yaml_path, complete_results, config): + for results in complete_results.values(): + correct_tasks = [ + task_result + for task_result in results["detailed"] + if task_result["solved"] == 1.0 + ] + fraction_correct = len(correct_tasks) / len(results["detailed"]) + results["fully_solved"] = fraction_correct + complete_results["config"] = config + with open(yaml_path, "w") as f: + yaml.dump(complete_results, f, indent=4) diff --git a/backend/Agents/gpt_engineer/benchmark/types.py b/backend/Agents/gpt_engineer/benchmark/types.py new file mode 100644 index 000000000..426cb360b --- /dev/null +++ b/backend/Agents/gpt_engineer/benchmark/types.py @@ -0,0 +1,94 @@ +""" +Module defining types used in benchmarking. + +This module contains dataclass definitions for various types used throughout the +benchmarking process, such as Assertable, Task, Benchmark, and TaskResult. + +Classes: + Assertable: + Represents an object that can be asserted against in a benchmark task. + + Assertion: + Type alias for a callable that takes an Assertable and returns a boolean. + + Task: + Represents a single task within a benchmark, including its assertions. + + Benchmark: + Represents a collection of tasks used to evaluate a model's performance. + + TaskResult: + Represents the result of running a single task within a benchmark. +""" +from dataclasses import dataclass +from subprocess import Popen +from typing import Callable, Dict, Optional + +from Agents.gpt_engineer.core.base_execution_env import BaseExecutionEnv +from Agents.gpt_engineer.core.files_dict import FilesDict +from Agents.gpt_engineer.core.prompt import Prompt + + +@dataclass +class Assertable: + """ + A class representing an object which can be asserted against. + + Attributes: + files (FilesDict): The code files involved in the assertion. + env (BaseExecutionEnv): The execution environment in which the code is run. + process (Popen): The subprocess in which the code is run. + stdout (str): The standard output from the code execution. + stderr (str): The standard error from the code execution. + """ + + files: FilesDict + env: BaseExecutionEnv + process: Optional[Popen] + stdout: Optional[str] + stderr: Optional[str] + + +Assertion = Callable[[Assertable], bool] + + +@dataclass +class Task: + name: str + initial_code: Optional[FilesDict] + command: Optional[str] + prompt: Prompt + assertions: Optional[Dict[str, Assertion]] + + +@dataclass +class Benchmark: + """A benchmark is a collection of tasks that evaluate a model's performance.""" + + name: str + tasks: list[Task] + timeout: Optional[int] = None + + +@dataclass +class TaskResult: + task_name: str + assertion_results: dict[str, bool] + duration: float + + # Returns success rate from 0.00 up to 1.00 + @property + def success_rate(self) -> float: + if not self.assertion_results: + return 0.0 + + succeeded = len( + [result for result in self.assertion_results.values() if result is True] + ) + + return succeeded / len(self.assertion_results) + + def to_dict(self) -> dict: + out_dict = {key: value for key, value in self.__dict__.items()} + out_dict["solved"] = self.success_rate + return out_dict diff --git a/backend/Agents/gpt_engineer/core/WebSocketStreamingCallbackHandler.py b/backend/Agents/gpt_engineer/core/WebSocketStreamingCallbackHandler.py new file mode 100644 index 000000000..be71149d8 --- /dev/null +++ b/backend/Agents/gpt_engineer/core/WebSocketStreamingCallbackHandler.py @@ -0,0 +1,97 @@ +""" +WebSocket AI Streaming Module + +This module extends the existing AI class to support real-time token streaming via WebSocket. +It includes a custom callback handler for WebSocket streaming and an enhanced AI class. +""" + +import asyncio +import json +import sys +import logging +from typing import Any, Dict, List, Optional, Union +from langchain.callbacks.base import BaseCallbackHandler +from langchain.schema import LLMResult +import websockets +from fastapi import WebSocket +from firebase_admin import App +# from modules.Chat.history.save_history_user import save_history_user +# from modules.Chat.history.save_history_system import save_history_system + +logger = logging.getLogger(__name__) + + +class WebSocketStreamingCallbackHandler(BaseCallbackHandler): + """ + Custom callback handler that streams LLM tokens to WebSocket clients in real-time. + """ + + def __init__(self, websocketactivedstream: WebSocket, session_id: str, user_email: str, appcompany: App): + super().__init__() + self.websocketactivedstream = websocketactivedstream + self.session_id = session_id + self.user_email = user_email + self.appcompany = appcompany + self.is_streaming = False + self.buffer_system = "" + + async def on_llm_start( + self, serialized: Dict[str, Any], prompts: List[str], **kwargs: Any + ) -> None: + """Called when LLM starts generating.""" + self.is_streaming = True + logger.info(f"stream_start") + await self._send_message(type="stream_start", message={ + "status": "started", + "timestamp": asyncio.get_event_loop().time() + } + ) + # save_history_user(self.session_id, self.user_email, prompts, self.appcompany) + + async def on_llm_new_token(self, token: str, **kwargs: Any) -> None: + """Called when a new token is generated.""" + if self.is_streaming: + await self._send_message(type="real_stream", message=f"{token}") + self.buffer_system += token + # sys.stdout.write(token) + # sys.stdout.flush() + + async def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None: + """Called when LLM finishes generating.""" + self.is_streaming = False + await self._send_message(type="stream_end", message={ + "status": "completed", + "timestamp": asyncio.get_event_loop().time() + } + ) + logger.info(f"stream_end") + # save_history_system(self.session_id, self.user_email, self.buffer_system, self.appcompany) + # self.buffer_system = "" + + + async def on_llm_error(self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any) -> None: + """Called when LLM encounters an error.""" + self.is_streaming = False + await self._send_message(type="error", message={ + "error": str(error), + "timestamp": asyncio.get_event_loop().time() + } + ) + + + async def _send_message(self, type: str, message) -> None: + """Send message to WebSocket client.""" + payload = { + "Chat Agent": { + "type": type, + "message": message + } + } + + try: + await self.websocketactivedstream.send_json(payload) + except websockets.exceptions.ConnectionClosed: + logger.warning("WebSocket connection closed during streaming") + except Exception as e: + logger.error(f"Error sending WebSocket message: {e}") + diff --git a/backend/Agents/gpt_engineer/core/__init__.py b/backend/Agents/gpt_engineer/core/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/Agents/gpt_engineer/core/ai.py b/backend/Agents/gpt_engineer/core/ai.py new file mode 100644 index 000000000..9e5b296dc --- /dev/null +++ b/backend/Agents/gpt_engineer/core/ai.py @@ -0,0 +1,472 @@ +""" +AI Module + +This module provides an AI class that interfaces with language models to perform various tasks such as +starting a conversation, advancing the conversation, and handling message serialization. It also includes +backoff strategies for handling rate limit errors from the OpenAI API. + +Classes: + AI: A class that interfaces with language models for conversation management and message serialization. + +Functions: + serialize_messages(messages: List[Message]) -> str + Serialize a list of messages to a JSON string. +""" + +from __future__ import annotations + +import json +import logging +import os +from pydantic import BaseModel, Field +from pathlib import Path +from typing import Any, List, Optional, Union + +import backoff +import openai +import pyperclip +from fastapi import WebSocket +from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler +from langchain.chat_models.base import BaseChatModel +from langchain.schema import ( + AIMessage, + HumanMessage, + SystemMessage, + messages_from_dict, + messages_to_dict, +) +from langchain_core.messages import ( + AIMessage, + AnyMessage, + BaseMessage, + BaseMessageChunk, + HumanMessage, + convert_to_messages, + convert_to_openai_image_block, + is_data_content_block, + message_chunk_to_message, +) +from langchain_anthropic import ChatAnthropic +from langchain_openai import AzureChatOpenAI, ChatOpenAI +from Agents.gpt_engineer.core.WebSocketStreamingCallbackHandler import WebSocketStreamingCallbackHandler +from Agents.gpt_engineer.core.token_usage import TokenUsageLog +from firebase_admin import App + +# Type hint for a chat message +Message = Union[AIMessage, HumanMessage, SystemMessage] + +# Set up logging +logger = logging.getLogger(__name__) + +class AI: + """ + A class that interfaces with language models for conversation management and message serialization. + + This class provides methods to start and advance conversations, handle message serialization, + and implement backoff strategies for rate limit errors when interacting with the OpenAI API. + + Attributes + ---------- + temperature : float + The temperature setting for the language model. + azure_endpoint : str + The endpoint URL for the Azure-hosted language model. + model_name : str + The name of the language model to use. + streaming : bool + A flag indicating whether to use streaming for the language model. + llm : BaseChatModel + The language model instance for conversation management. + token_usage_log : TokenUsageLog + A log for tracking token usage during conversations. + + Methods + ------- + start(system: str, user: str, step_name: str) -> List[Message] + Start the conversation with a system message and a user message. + next(messages: List[Message], prompt: Optional[str], step_name: str) -> List[Message] + Advances the conversation by sending message history to LLM and updating with the response. + backoff_inference(messages: List[Message]) -> Any + Perform inference using the language model with an exponential backoff strategy. + serialize_messages(messages: List[Message]) -> str + Serialize a list of messages to a JSON string. + deserialize_messages(jsondictstr: str) -> List[Message] + Deserialize a JSON string to a list of messages. + _create_chat_model() -> BaseChatModel + Create a chat model with the specified model name and temperature. + """ + + def __init__( + self, + model_name="gpt-4-turbo", + temperature=0.1, + azure_endpoint=None, + streaming=True, + vision=False, + ActiveWebSocket: Optional[WebSocket] = None, + session_id: Optional[str] = None, + user_email: Optional[str] = None, + appcompany: Optional[App] = None, + ): + """ + Initialize the AI class. + + Parameters + ---------- + model_name : str, optional + The name of the model to use, by default "gpt-4". + temperature : float, optional + The temperature to use for the model, by default 0.1. + """ + self.ActiveWebSocket = ActiveWebSocket + self.session_id=session_id + self.user_email=user_email + self.appcompany=appcompany + self.temperature = temperature + self.azure_endpoint = azure_endpoint + self.model_name = model_name + self.streaming = streaming + self.vision = ( + ("vision-preview" in model_name) + or ("gpt-4-turbo" in model_name and "preview" not in model_name) + or ("claude" in model_name) + ) + self.llm = self._create_chat_model() + self.llm_with_tools = self.llm.bind_tools([AutosaveTool]) + self.structured_llm = self.llm.with_structured_output(DiffOutput) + + self.token_usage_log = TokenUsageLog(model_name) + print(f"Using model {self.model_name}") + logger.debug(f"Using model {self.model_name}") + + def start(self, system: str, user: Any, *, step_name: str) -> List[Message]: + """ + Start the conversation with a system message and a user message. + + Parameters + ---------- + system : str + The content of the system message. + user : str + The content of the user message. + step_name : str + The name of the step. + + Returns + ------- + List[Message] + The list of messages in the conversation. + """ + + messages: List[Message] = [ + SystemMessage(content=system), + HumanMessage(content=user), + ] + return self.next(messages, step_name=step_name) + + def next( + self, + messages: List[Message], + prompt: Optional[str] = None, + tools: bool = False, + structured_output: bool = False, + *, + step_name: str, + ) -> List[Message]: + """ + Advances the conversation by sending message history + to LLM and updating with the response. + + Parameters + ---------- + messages : List[Message] + The list of messages in the conversation. + prompt : Optional[str], optional + The prompt to use, by default None. + step_name : str + The name of the step. + + Returns + ------- + List[Message] + The updated list of messages in the conversation. + """ + + if prompt: + messages.append(HumanMessage(content=prompt)) + + logger.debug( + "Creating a new chat completion: %s", + # "\n".join([m.pretty_repr() for m in messages]), + ) + + if not self.vision: + messages = self._collapse_text_messages(messages) + + if tools == True: + response, content = self.backoff_inference(messages, tools=True) + elif structured_output == True: + response, content = self.backoff_inference(messages, structured_output=True) + else: + response, content = self.backoff_inference(messages) + + self.token_usage_log.update_log( + messages=messages, answer=content, step_name=step_name + ) + messages.append(response) + logger.debug(f"Chat completion finished: {messages}") + + return messages + + @backoff.on_exception(backoff.expo, openai.RateLimitError, max_tries=7, max_time=45) + def backoff_inference(self, messages, tools=False, structured_output=False): + """ + Perform inference using the language model while implementing an exponential backoff strategy. + + This function will retry the inference in case of a rate limit error from the OpenAI API. + It uses an exponential backoff strategy, meaning the wait time between retries increases + exponentially. The function will attempt to retry up to 7 times within a span of 45 seconds. + + Parameters + ---------- + messages : List[Message] + A list of chat messages which will be passed to the language model for processing. + + callbacks : List[Callable] + A list of callback functions that are triggered after each inference. These functions + can be used for logging, monitoring, or other auxiliary tasks. + + Returns + ------- + Any + The output from the language model after processing the provided messages. + + Raises + ------ + openai.error.RateLimitError + If the number of retries exceeds the maximum or if the rate limit persists beyond the + allotted time, the function will ultimately raise a RateLimitError. + + Example + ------- + >>> messages = [SystemMessage(content="Hello"), HumanMessage(content="How's the weather?")] + >>> response = backoff_inference(messages) + """ + if tools == True: + tool_results = [] + response_inference = self.llm_with_tools.invoke(messages) + logger.info(f"Tool calls retornadas pelo LLM: {response_inference.tool_calls}") + for tool_call in getattr(response_inference, "tool_calls", []): + tool_name = tool_call.get("name") + args = tool_call.get("args", {}) + if tool_name == "AutosaveTool": + result = self.autosave(AutosaveTool(**args)) + logger.info(f"Resultado da tool:{result}") + tool_results.append(result) + content_str = f"Tool calls retornadas pelo LLM: {response_inference.tool_calls}\n All Response Tools: {tool_results}" + response = BaseMessage(type="ai", content=content_str) + content = response.content + return response, content + elif structured_output == True: + response_inference = self.structured_llm.invoke(messages) + diff = response_inference.diff + filename = response_inference.filename + content_str = f"{filename}\n{diff}" + response = BaseMessage(type="ai", content=content_str) + content = response.content + return response, content + else: + response = self.llm.invoke(messages) + content = response.content + return response, content + + @staticmethod + def serialize_messages(messages: List[Message]) -> str: + """ + Serialize a list of messages to a JSON string. + + Parameters + ---------- + messages : List[Message] + The list of messages to serialize. + + Returns + ------- + str + The serialized messages as a JSON string. + """ + return json.dumps(messages_to_dict(messages)) + + @staticmethod + def deserialize_messages(jsondictstr: str) -> List[Message]: + """ + Deserialize a JSON string to a list of messages. + + Parameters + ---------- + jsondictstr : str + The JSON string to deserialize. + + Returns + ------- + List[Message] + The deserialized list of messages. + """ + data = json.loads(jsondictstr) + # Modify implicit is_chunk property to ALWAYS false + # since Langchain's Message schema is stricter + prevalidated_data = [ + {**item, "tools": {**item.get("tools", {}), "is_chunk": False}} + for item in data + ] + return list(messages_from_dict(prevalidated_data)) # type: ignore + + def _create_chat_model(self) -> BaseChatModel: + """ + Create a chat model with the specified model name and temperature. + + Parameters + ---------- + model : str + The name of the model to create. + temperature : float + The temperature to use for the model. + + Returns + ------- + BaseChatModel + The created chat model. + """ + if self.ActiveWebSocket == None: + callhandler_ = StreamingStdOutCallbackHandler() + else: + callhandler_ = WebSocketStreamingCallbackHandler( + websocketactivedstream=self.ActiveWebSocket, + session_id=self.session_id, + user_email=self.user_email, + appcompany=self.appcompany + + ) + + + + if self.azure_endpoint: + return AzureChatOpenAI( + azure_endpoint=self.azure_endpoint, + openai_api_version=os.getenv( + "OPENAI_API_VERSION", "2024-05-01-preview" + ), + deployment_name=self.model_name, + openai_api_type="azure", + streaming=self.streaming, + callbacks=[callhandler_], + ) + elif "claude" in self.model_name: + return ChatAnthropic( + model=self.model_name, + temperature=self.temperature, + callbacks=[callhandler_], + streaming=self.streaming, + max_tokens_to_sample=4096, + ) + elif self.vision: + return ChatOpenAI( + model=self.model_name, + temperature=self.temperature, + streaming=self.streaming, + callbacks=[callhandler_], + max_tokens=4096, # vision models default to low max token limits + ) + else: + return ChatOpenAI( + model=self.model_name, + temperature=self.temperature, + streaming=self.streaming, + callbacks=[callhandler_], + ) + + def autosave(self, data: AutosaveTool) -> dict: + """Função que salva o código, chamada pela tool do LLM""" + try: + os.makedirs(os.path.dirname(data.path), exist_ok=True) + with open(data.path, 'w', encoding='utf-8') as f: + f.write(data.code) + logger.info(f"Arquivo salvo com sucesso: {data.path}") + return {"status": "success", "file_path": data.path} + except Exception as e: + logger.error(f"Erro ao salvar arquivo {data.path}: {e}") + return {"status": "error", "message": str(e)} + + def _extract_content(self, content): + """ + Extracts text content from a message, supporting both string and list types. + Parameters + ---------- + content : Union[str, List[dict]] + The content of a message, which could be a string or a list. + Returns + ------- + str + The extracted text content. + """ + if isinstance(content, str): + return content + elif isinstance(content, list) and content and "text" in content[0]: + # Assuming the structure of list content is [{'type': 'text', 'text': 'Some text'}, ...] + return content[0]["text"] + else: + return "" + + def _collapse_text_messages(self, messages: List[Message]): + """ + Combine consecutive messages of the same type into a single message, where if the message content + is a list type, the first text element's content is taken. This method keeps `combined_content` as a string. + + This method iterates through the list of messages, combining consecutive messages of the same type + by joining their content with a newline character. If the content is a list, it extracts text from the first + text element's content. This reduces the number of messages and simplifies the conversation for processing. + + Parameters + ---------- + messages : List[Message] + The list of messages to collapse. + + Returns + ------- + List[Message] + The list of messages after collapsing consecutive messages of the same type. + """ + collapsed_messages = [] + if not messages: + return collapsed_messages + + previous_message = messages[0] + combined_content = self._extract_content(previous_message.content) + + for current_message in messages[1:]: + if current_message.type == previous_message.type: + combined_content += "\n\n" + self._extract_content( + current_message.content + ) + else: + collapsed_messages.append( + previous_message.__class__(content=combined_content) + ) + previous_message = current_message + combined_content = self._extract_content(current_message.content) + + collapsed_messages.append(previous_message.__class__(content=combined_content)) + return collapsed_messages + +class AutosaveTool(BaseModel): + """Tool para salvar código Python em arquivo""" + code: str = Field(..., description="Código Python a ser salvo") + path: str = Field(..., description="Caminho completo do arquivo onde o código será salvo") + +class DiffOutput(BaseModel): + filename: str + diff: str + + +def serialize_messages(messages: List[Message]) -> str: + return AI.serialize_messages(messages) diff --git a/backend/Agents/gpt_engineer/core/base_agent.py b/backend/Agents/gpt_engineer/core/base_agent.py new file mode 100644 index 000000000..24e31ae2e --- /dev/null +++ b/backend/Agents/gpt_engineer/core/base_agent.py @@ -0,0 +1,31 @@ +""" +Base Agent Module + +This module provides an abstract base class for an agent that interacts with code. It defines the interface +for agents capable of initializing and improving code based on a given prompt. Implementations of this class +are expected to provide concrete methods for these actions. + +Classes: + BaseAgent: Abstract base class for an agent that interacts with code. +""" +from abc import ABC, abstractmethod + +from Agents.gpt_engineer.core.files_dict import FilesDict +from Agents.gpt_engineer.core.prompt import Prompt + + +class BaseAgent(ABC): + """ + Abstract base class for an agent that interacts with code. + + Defines the interface for agents capable of initializing and improving code based on a given prompt. + Implementations of this class are expected to provide concrete methods for these actions. + """ + + @abstractmethod + def init(self, prompt: Prompt) -> FilesDict: + pass + + @abstractmethod + def improve(self, files_dict: FilesDict, prompt: Prompt) -> FilesDict: + pass diff --git a/backend/Agents/gpt_engineer/core/base_execution_env.py b/backend/Agents/gpt_engineer/core/base_execution_env.py new file mode 100644 index 000000000..6c43fe38c --- /dev/null +++ b/backend/Agents/gpt_engineer/core/base_execution_env.py @@ -0,0 +1,42 @@ +from abc import ABC, abstractmethod +from subprocess import Popen +from typing import Optional, Tuple + +from Agents.gpt_engineer.core.files_dict import FilesDict + + +class BaseExecutionEnv(ABC): + """ + Abstract base class for an execution environment capable of running code. + + This class defines the interface for execution environments that can execute commands, + handle processes, and manage file uploads and downloads. + """ + + @abstractmethod + def run(self, command: str, timeout: Optional[int] = None) -> Tuple[str, str, int]: + """ + Runs a command in the execution environment. + """ + raise NotImplementedError + + @abstractmethod + def popen(self, command: str) -> Popen: + """ + Runs a command in the execution environment. + """ + raise NotImplementedError + + @abstractmethod + def upload(self, files: FilesDict) -> "BaseExecutionEnv": + """ + Uploads files to the execution environment. + """ + raise NotImplementedError + + @abstractmethod + def download(self) -> FilesDict: + """ + Downloads files from the execution environment. + """ + raise NotImplementedError diff --git a/backend/Agents/gpt_engineer/core/base_memory.py b/backend/Agents/gpt_engineer/core/base_memory.py new file mode 100644 index 000000000..a491ae0aa --- /dev/null +++ b/backend/Agents/gpt_engineer/core/base_memory.py @@ -0,0 +1,15 @@ +""" +Base Memory Module + +This module provides a type alias for a mutable mapping that represents the base memory structure +used in the GPT Engineer project. The base memory is a mapping from file names (as strings or Path objects) +to their corresponding code content (as strings). + +Type Aliases: + BaseMemory: A mutable mapping from file names to code content. +""" + +from pathlib import Path +from typing import MutableMapping, Union + +BaseMemory = MutableMapping[Union[str, Path], str] diff --git a/backend/Agents/gpt_engineer/core/chat_to_files.py b/backend/Agents/gpt_engineer/core/chat_to_files.py new file mode 100644 index 000000000..7d2c23d8b --- /dev/null +++ b/backend/Agents/gpt_engineer/core/chat_to_files.py @@ -0,0 +1,312 @@ +""" +This Python script provides functionalities for parsing chat transcripts that contain file paths and code blocks, +applying diffs to these files, and parsing unified git diff format strings. The script is designed to work within +a larger system that involves processing and manipulating code files based on chat inputs and diff information. + +Key Components: +- chat_to_files_dict: Parses a chat transcript, extracting file paths and associated code blocks, and organizes + them into a FilesDict object, which is a custom dictionary format designed to hold file contents keyed by their paths. + +- apply_diffs: Takes a dictionary of Diff objects (which represent changes to be made to files) and a FilesDict + object containing the current state of files. It applies the changes described by the Diff objects to the + corresponding files in the FilesDict, updating the file contents as specified by the diffs. + +- parse_diffs: Parses a string containing diffs in the unified git diff format, extracting the changes described + in the diffs and organizing them into a dictionary of Diff objects, keyed by the filename to which each diff applies. + +- parse_diff_block: Parses a single block of text from a diff string, translating it into a Diff object that + represents the changes described in that block of text. + +This script is intended for use in environments where code collaboration or review is conducted through chat interfaces, +allowing for the dynamic application of changes to code bases and the efficient handling of file and diff information in chat transcripts. +""" + +import logging +import re + +from typing import Dict, Tuple + +from regex import regex +import tempfile +from pathlib import Path +from Agents.gpt_engineer.core.diff import ADD, REMOVE, RETAIN, Diff, Hunk +from Agents.gpt_engineer.core.diffprocessor import DiffProcessor +from Agents.gpt_engineer.core.files_dict import FilesDict, file_to_lines_dict + + + +# Initialize a logger for this module +logger = logging.getLogger(__name__) + +def chat_to_files_dict(chat: str) -> FilesDict: + """ + Converts a chat string containing file paths and code blocks into a FilesDict object. + """ + + # REGEX COMBINADO: + # 1. Estrutura Antiga: (\S+)\n\s*```[^\n]*\n(.+?)``` (Grupos 1 e 2) + # 2. Estrutura ####: ####\s*`([^`]+)`\n\s*```[^\n]*\n(.+?)``` (Grupos 3 e 4) + # 3. Estrutura ##: ##\s*\d*\.?\s*([^ \n]+)\n\s*```[^\n]*\n(.+?)``` (Grupos 5 e 6) + # 4. Estrutura File: File:\s*([^ \n]+)\n\s*```[^\n]*\n(.+?)``` (Grupos 7 e 8) + + # Usamos grupos de não-captura (?:...) para agrupar as quatro estruturas. + regex = ( + r"(?:(\S+)\n\s*```[^\n]*\n(.+?)```)|" # Padrão 1 (Grupos 1 e 2) + r"(?:####\s*`([^`]+)`\n\s*```[^\n]*\n(.+?)```)|" # Padrão 2 (Grupos 3 e 4) + r"(?:##\s*\d*\.?\s*([^ \n]+)\n\s*```[^\n]*\n(.+?)```)|" # Padrão 3 (Grupos 5 e 6) + r"(?:File:\s*([^ \n]+)\n\s*```[^\n]*\n(.+?)```)" # Padrão 4 (Grupos 7 e 8) + ) + + # Agora temos 8 grupos de captura no total. + matches = re.finditer(regex, chat, re.DOTALL) + + files_dict = FilesDict() + for match in matches: + + # Lógica para encontrar o caminho (path) e o conteúdo (content) corretos + # path será o primeiro grupo não-nulo entre G1, G3, G5, G7 + # content será o primeiro grupo não-nulo entre G2, G4, G6, G8 + + # Encontra o Caminho (Path) - (Grupos 1, 3, 5, 7) + path = ( + match.group(1) or + match.group(3) or + match.group(5) or + match.group(7) + ) + + # Encontra o Conteúdo (Content) - (Grupos 2, 4, 6, 8) + content = ( + match.group(2) or + match.group(4) or + match.group(6) or + match.group(8) + ) + + if not path or not content: + continue # Pula se algo deu errado na extração + + # Clean and standardize the file path + # O código de limpeza é robusto o suficiente para funcionar com o novo padrão: + # Ele remove os caracteres inválidos e trata crases e colchetes. + path = re.sub(r'[\:<>"|?*]', "", path) + path = re.sub(r"^\[(.*)\]$", r"\1", path) + path = re.sub(r"^`(.*)`$", r"\1", path) + path = re.sub(r"[\]\:]$", "", path) + + # Add the cleaned path and content to the FilesDict + files_dict[path.strip()] = content.strip() + + return files_dict + +def apply_diffs(diffs, files_dict, repo_path="."): + """ + Aplica todos os diffs encontrados usando o DiffProcessor. + Cada diff é salvo temporariamente e aplicado via `git apply --3way`. + """ + applied = [] + failed = [] + + for filename, diff_obj in diffs.items(): + try: + # Salva o conteúdo do diff num arquivo temporário + with tempfile.NamedTemporaryFile("w+", suffix=".diff", delete=False) as tmp: + tmp.write(diff_obj.diff_to_string()) + tmp_path = Path(tmp.name) + + dp = DiffProcessor(tmp_path) + dp.parse() + dp.validate() + dp.apply(repo_path) + + applied.append(filename) + tmp_path.unlink(missing_ok=True) + + except Exception as e: + failed.append(f"{filename}: {e}") + logger.error(f"❌ Falha ao aplicar diff em {filename}: {e}") + + if failed: + logger.warning(f"⚠️ Alguns diffs falharam:\n" + "\n".join(failed)) + else: + logger.info("✅ Todos os diffs foram aplicados com sucesso.") + + return files_dict # mantido para compatibilidade + +# def apply_diffs(diffs: Dict[str, Diff], files: FilesDict) -> FilesDict: +# """ +# Applies diffs to the provided files. + +# Args: +# - diffs (Dict[str, Diff]): A dictionary of diffs to apply, keyed by filename. +# - files (FilesDict): The original files to which diffs will be applied. + +# Returns: +# - FilesDict: The updated files after applying diffs. +# """ +# files = FilesDict(files.copy()) +# REMOVE_FLAG = "" # Placeholder to mark lines for removal +# for diff in diffs.values(): +# if diff.is_new_file(): +# # If it's a new file, create it with the content from the diff +# files[diff.filename_post] = "\n".join( +# line[1] for hunk in diff.hunks for line in hunk.lines +# ) +# else: +# # Convert the file content to a dictionary of lines +# line_dict = file_to_lines_dict(files[diff.filename_pre]) +# for hunk in diff.hunks: +# current_line = hunk.start_line_pre_edit +# for line in hunk.lines: +# if line[0] == RETAIN: +# current_line += 1 +# elif line[0] == ADD: +# # Handle added lines +# current_line -= 1 +# if ( +# current_line in line_dict.keys() +# and line_dict[current_line] != REMOVE_FLAG +# ): +# line_dict[current_line] += "\n" + line[1] +# else: +# line_dict[current_line] = line[1] +# current_line += 1 +# elif line[0] == REMOVE: +# # Mark removed lines with REMOVE_FLAG +# line_dict[current_line] = REMOVE_FLAG +# current_line += 1 + +# # Remove lines marked for removal +# line_dict = { +# key: line_content +# for key, line_content in line_dict.items() +# if REMOVE_FLAG not in line_content +# } +# # Reassemble the file content +# files[diff.filename_post] = "\n".join(line_dict.values()) +# return files + + +def parse_diffs(diff_string: str, diff_timeout=3) -> dict: + """ + Parses a diff string in the unified git diff format. + + Args: + - diff_string (str): The diff string to parse. + + Returns: + - dict: A dictionary of Diff objects keyed by filename. + """ + # Regex to match individual diff blocks + diff_block_pattern = regex.compile( + r"```.*?\n\s*?--- .*?\n\s*?\+\+\+ .*?\n(?:@@ .*? @@\n(?:[-+ ].*?\n)*?)*?```", + re.DOTALL, + ) + + diffs = {} + try: + for block in diff_block_pattern.finditer(diff_string, timeout=diff_timeout): + diff_block = block.group() + + # Parse individual diff blocks and update the diffs dictionary + diff = parse_diff_block(diff_block) + for filename, diff_obj in diff.items(): + if filename not in diffs: + diffs[filename] = diff_obj + else: + print( + f"\nMultiple diffs found for {filename}. Only the first one is kept." + ) + except TimeoutError: + print("gpt-engineer timed out while parsing git diff") + + if not diffs: + print( + "GPT did not provide any proposed changes. Please try to reselect the files for uploading and edit your prompt file." + ) + + return diffs + + +def parse_diff_block(diff_block: str) -> dict: + """ + Parses a block of diff text into a Diff object. + + Args: + - diff_block (str): A single block of diff text. + + Returns: + - dict: A dictionary containing a single Diff object keyed by the post-edit filename. + """ + lines = diff_block.strip().split("\n")[1:-1] # Exclude the opening and closing ``` + diffs = {} + current_diff = None + hunk_lines = [] + filename_pre = None + filename_post = None + hunk_header = None + + for line in lines: + if line.startswith("--- "): + # Pre-edit filename + filename_pre = line[4:] + elif line.startswith("+++ "): + # Post-edit filename and initiation of a new Diff object + if ( + filename_post is not None + and current_diff is not None + and hunk_header is not None + ): + current_diff.hunks.append(Hunk(*hunk_header, hunk_lines)) + hunk_lines = [] + filename_post = line[4:] + current_diff = Diff(filename_pre, filename_post) + diffs[filename_post] = current_diff + elif line.startswith("@@ "): + # Start of a new hunk in the diff + if hunk_lines and current_diff is not None and hunk_header is not None: + current_diff.hunks.append(Hunk(*hunk_header, hunk_lines)) + hunk_lines = [] + hunk_header = parse_hunk_header(line) + elif line.startswith("+"): + # Added line + hunk_lines.append((ADD, line[1:])) + elif line.startswith("-"): + # Removed line + hunk_lines.append((REMOVE, line[1:])) + else: + # Retained line + hunk_lines.append((RETAIN, line[1:])) + + # Append the last hunk if any + if current_diff is not None and hunk_lines and hunk_header is not None: + current_diff.hunks.append(Hunk(*hunk_header, hunk_lines)) + + return diffs + + +def parse_hunk_header(header_line) -> Tuple[int, int, int, int]: + """ + Parses the header of a hunk from a diff. + + Args: + - header_line (str): The header line of a hunk. + + Returns: + - tuple: A tuple containing start and length information for pre- and post-edit. + """ + pattern = re.compile(r"^@@ -\d{1,},\d{1,} \+\d{1,},\d{1,} @@$") + + if not pattern.match(header_line): + # Return a default value if the header does not match the expected format + return 0, 0, 0, 0 + + pre, post = header_line.split(" ")[1:3] + start_line_pre_edit, hunk_len_pre_edit = map(int, pre[1:].split(",")) + start_line_post_edit, hunk_len_post_edit = map(int, post[1:].split(",")) + return ( + start_line_pre_edit, + hunk_len_pre_edit, + start_line_post_edit, + hunk_len_post_edit, + ) diff --git a/backend/Agents/gpt_engineer/core/default/__init__.py b/backend/Agents/gpt_engineer/core/default/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/Agents/gpt_engineer/core/default/constants.py b/backend/Agents/gpt_engineer/core/default/constants.py new file mode 100644 index 000000000..9eddadd97 --- /dev/null +++ b/backend/Agents/gpt_engineer/core/default/constants.py @@ -0,0 +1,12 @@ +""" +Module defining constants used throughout the application. + +This module contains definitions of constants that are used across various +components of the application to maintain consistency and ease of configuration. + +Constants +--------- +MAX_EDIT_REFINEMENT_STEPS : int + The maximum number of refinement steps allowed when generating edit blocks. +""" +MAX_EDIT_REFINEMENT_STEPS = 1 diff --git a/backend/Agents/gpt_engineer/core/default/disk_execution_env.py b/backend/Agents/gpt_engineer/core/default/disk_execution_env.py new file mode 100644 index 000000000..57d5a9637 --- /dev/null +++ b/backend/Agents/gpt_engineer/core/default/disk_execution_env.py @@ -0,0 +1,111 @@ +""" +Module for managing the execution environment on the local disk. + +This module provides a class that handles the execution of code stored on the local +file system. It includes methods for uploading files to the execution environment, +running commands, and capturing the output. + +Classes +------- +DiskExecutionEnv + An execution environment that runs code on the local file system and captures + the output of the execution. + +Imports +------- +- subprocess: For running shell commands. +- time: For timing the execution of commands. +- Path: For handling file system paths. +- Optional, Tuple, Union: For type annotations. +- BaseExecutionEnv: For inheriting the base execution environment interface. +- FileStore: For managing file storage. +- FilesDict: For handling collections of files. +""" + +import subprocess +import time + +from pathlib import Path +from typing import Optional, Tuple, Union + +from Agents.gpt_engineer.core.base_execution_env import BaseExecutionEnv +from Agents.gpt_engineer.core.default.file_store import FileStore +from Agents.gpt_engineer.core.files_dict import FilesDict + + +class DiskExecutionEnv(BaseExecutionEnv): + """ + An execution environment that runs code on the local file system and captures + the output of the execution. + + This class is responsible for executing code that is stored on disk. It ensures that + the necessary entrypoint file exists and then runs the code using a subprocess. If the + execution is interrupted by the user, it handles the interruption gracefully. + + Attributes + ---------- + store : FileStore + An instance of FileStore that manages the storage of files in the execution + environment. + """ + + def __init__(self, path: Union[str, Path, None] = None): + self.files = FileStore(path) + + def upload(self, files: FilesDict) -> "DiskExecutionEnv": + self.files.push(files) + return self + + def download(self) -> FilesDict: + return self.files.pull() + + def popen(self, command: str) -> subprocess.Popen: + p = subprocess.Popen( + command, + shell=True, + cwd=self.files.working_dir, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + ) + return p + + def run(self, command: str, timeout: Optional[int] = None) -> Tuple[str, str, int]: + start = time.time() + print("\n--- Start of run ---") + # while running, also print the stdout and stderr + p = subprocess.Popen( + command, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + cwd=self.files.working_dir, + text=True, + shell=True, + ) + print("$", command) + stdout_full, stderr_full = "", "" + + try: + while p.poll() is None: + assert p.stdout is not None + assert p.stderr is not None + stdout = p.stdout.readline() + stderr = p.stderr.readline() + if stdout: + print(stdout, end="") + stdout_full += stdout + if stderr: + print(stderr, end="") + stderr_full += stderr + if timeout and time.time() - start > timeout: + print("Timeout!") + p.kill() + raise TimeoutError() + except KeyboardInterrupt: + print() + print("Stopping execution.") + print("Execution stopped.") + p.kill() + print() + print("--- Finished run ---\n") + + return stdout_full, stderr_full, p.returncode diff --git a/backend/Agents/gpt_engineer/core/default/disk_memory.py b/backend/Agents/gpt_engineer/core/default/disk_memory.py new file mode 100644 index 000000000..b691420ae --- /dev/null +++ b/backend/Agents/gpt_engineer/core/default/disk_memory.py @@ -0,0 +1,326 @@ +""" +Disk Memory Module +================== + +This module provides a simple file-based key-value database system, where keys are +represented as filenames and values are the contents of these files. The `DiskMemory` class +is responsible for the CRUD operations on the database. + +Attributes +---------- +None + +Functions +--------- +None + +Classes +------- +DiskMemory + A file-based key-value store where keys correspond to filenames and values to file contents. +""" + +import base64 +import json +import shutil + +from datetime import datetime +from pathlib import Path +from typing import Any, Dict, Iterator, Optional, Union + +from Agents.gpt_engineer.core.base_memory import BaseMemory +from Agents.gpt_engineer.tools.supported_languages import SUPPORTED_LANGUAGES + + +# This class represents a simple database that stores its tools as files in a directory. +class DiskMemory(BaseMemory): + """ + A file-based key-value store where keys correspond to filenames and values to file contents. + + This class provides an interface to a file-based database, leveraging file operations to + facilitate CRUD-like interactions. It allows for quick checks on the existence of keys, + retrieval of values based on keys, and setting new key-value pairs. + + Attributes + ---------- + path : Path + The directory path where the database files are stored. + """ + + def __init__(self, path: Union[str, Path]): + """ + Initialize the DiskMemory class with a specified path. + + Parameters + ---------- + path : str or Path + The path to the directory where the database files will be stored. + + """ + self.path: Path = Path(path).absolute() + + self.path.mkdir(parents=True, exist_ok=True) + + def __contains__(self, key: str) -> bool: + """ + Determine whether the database contains a file with the specified key. + + Parameters + ---------- + key : str + The key (filename) to check for existence in the database. + + Returns + ------- + bool + Returns True if the file exists, False otherwise. + + """ + return (self.path / key).is_file() + + def __getitem__(self, key: str) -> str: + """ + Retrieve the content of a file in the database corresponding to the given key. + If the file is an image with a .png or .jpeg extension, it returns the content + in Base64-encoded string format. + + Parameters + ---------- + key : str + The key (filename) whose content is to be retrieved. + + Returns + ------- + str + The content of the file associated with the key, or Base64-encoded string if it's a .png or .jpeg file. + + Raises + ------ + KeyError + If the file corresponding to the key does not exist in the database. + """ + full_path = self.path / key + + if not full_path.is_file(): + raise KeyError(f"File '{key}' could not be found in '{self.path}'") + + if full_path.suffix in [".png", ".jpeg", ".jpg"]: + with full_path.open("rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode("utf-8") + mime_type = "image/png" if full_path.suffix == ".png" else "image/jpeg" + return f"data:{mime_type};base64,{encoded_string}" + else: + with full_path.open("r", encoding="utf-8") as f: + return f.read() + + def get(self, key: str, default: Optional[Any] = None) -> Any: + """ + Retrieve the content of a file in the database, or return a default value if not found. + + Parameters + ---------- + key : str + The key (filename) whose content is to be retrieved. + default : Any, optional + The default value to return if the file does not exist. Default is None. + + Returns + ------- + Any + The content of the file if it exists, a new DiskMemory instance if the key corresponds to a directory. + """ + + item_path = self.path / key + try: + if item_path.is_file(): + return self[key] + elif item_path.is_dir(): + return DiskMemory(item_path) + else: + return default + except: + return default + + def __setitem__(self, key: Union[str, Path], val: str) -> None: + """ + Set or update the content of a file in the database corresponding to the given key. + + Parameters + ---------- + key : str or Path + The key (filename) where the content is to be set. + val : str + The content to be written to the file. + + Raises + ------ + ValueError + If the key attempts to access a parent path. + TypeError + If the value is not a string. + + """ + if str(key).startswith("../"): + raise ValueError(f"File name {key} attempted to access parent path.") + + if not isinstance(val, str): + raise TypeError("val must be str") + + full_path = self.path / key + full_path.parent.mkdir(parents=True, exist_ok=True) + + full_path.write_text(val, encoding="utf-8") + + def __delitem__(self, key: Union[str, Path]) -> None: + """ + Delete a file or directory from the database corresponding to the given key. + + Parameters + ---------- + key : str or Path + The key (filename or directory name) to be deleted. + + Raises + ------ + KeyError + If the file or directory corresponding to the key does not exist in the database. + + """ + item_path = self.path / key + if not item_path.exists(): + raise KeyError(f"Item '{key}' could not be found in '{self.path}'") + + if item_path.is_file(): + item_path.unlink() + elif item_path.is_dir(): + shutil.rmtree(item_path) + + def __iter__(self) -> Iterator[str]: + """ + Iterate over the keys (filenames) in the database. + + Yields + ------ + Iterator[str] + An iterator over the sorted list of keys (filenames) in the database. + + """ + return iter( + sorted( + str(item.relative_to(self.path)) + for item in sorted(self.path.rglob("*")) + if item.is_file() + ) + ) + + def __len__(self) -> int: + """ + Get the number of files in the database. + + Returns + ------- + int + The number of files in the database. + + """ + return len(list(self.__iter__())) + + def _supported_files(self) -> str: + valid_extensions = { + ext for lang in SUPPORTED_LANGUAGES for ext in lang["extensions"] + } + file_paths = [ + str(item) + for item in self + if Path(item).is_file() and Path(item).suffix in valid_extensions + ] + return "\n".join(file_paths) + + def _all_files(self) -> str: + file_paths = [str(item) for item in self if Path(item).is_file()] + return "\n".join(file_paths) + + def to_path_list_string(self, supported_code_files_only: bool = False) -> str: + """ + Generate a string representation of the file paths in the database. + + Parameters + ---------- + supported_code_files_only : bool, optional + If True, filter the list to include only supported code file extensions. + Default is False. + + Returns + ------- + str + A newline-separated string of file paths. + + """ + if supported_code_files_only: + return self._supported_files() + else: + return self._all_files() + + def to_dict(self) -> Dict[Union[str, Path], str]: + """ + Convert the database contents to a dictionary. + + Returns + ------- + Dict[Union[str, Path], str] + A dictionary with keys as filenames and values as file contents. + + """ + return {file_path: self[file_path] for file_path in self} + + def to_json(self) -> str: + """ + Serialize the database contents to a JSON string. + + Returns + ------- + str + A JSON string representation of the database contents. + + """ + return json.dumps(self.to_dict()) + + def log(self, key: Union[str, Path], val: str) -> None: + """ + Append to a file or create and write to it if it doesn't exist. + + Parameters + ---------- + key : str or Path + The key (filename) where the content is to be appended. + val : str + The content to be appended to the file. + + """ + + if str(key).startswith("../"): + raise ValueError(f"File name {key} attempted to access parent path.") + + if not isinstance(val, str): + raise TypeError("val must be str") + + full_path = self.path / "logs" / key + full_path.parent.mkdir(parents=True, exist_ok=True) + + # Touch if it doesnt exist + if not full_path.exists(): + full_path.touch() + + with open(full_path, "a", encoding="utf-8") as file: + file.write(f"\n{datetime.now().isoformat()}\n") + file.write(val + "\n") + + def archive_logs(self): + """ + Moves all logs to archive directory based on current timestamp + """ + if "logs" in self: + archive_dir = ( + self.path / f"logs_{datetime.now().strftime('%Y-%m-%d-%H-%M-%S')}" + ) + shutil.move(self.path / "logs", archive_dir) diff --git a/backend/Agents/gpt_engineer/core/default/file_store.py b/backend/Agents/gpt_engineer/core/default/file_store.py new file mode 100644 index 000000000..0bf483287 --- /dev/null +++ b/backend/Agents/gpt_engineer/core/default/file_store.py @@ -0,0 +1,62 @@ +import tempfile + +from pathlib import Path +from typing import Union + +from Agents.gpt_engineer.core.files_dict import FilesDict +from Agents.gpt_engineer.core.linting import Linting + + +class FileStore: + """ + Module for managing file storage in a temporary directory. + + This module provides a class that manages the storage of files in a temporary directory. + It includes methods for uploading files to the directory and downloading them as a + collection of files. + + Classes + ------- + FileStore + Manages file storage in a temporary directory, allowing for upload and download of files. + + Imports + ------- + - tempfile: For creating temporary directories. + - Path: For handling file system paths. + - Union: For type annotations. + - FilesDict: For handling collections of files. + """ + + def __init__(self, path: Union[str, Path, None] = None): + if path is None: + path = Path(tempfile.mkdtemp(prefix="gpt-engineer-")) + + self.working_dir = Path(path) + self.working_dir.mkdir(parents=True, exist_ok=True) + self.id = self.working_dir.name.split("-")[-1] + + def push(self, files: FilesDict): + for name, content in files.items(): + path = self.working_dir / name + path.parent.mkdir(parents=True, exist_ok=True) + with open(path, "w") as f: + f.write(content) + return self + + def linting(self, files: FilesDict) -> FilesDict: + # lint the code + linting = Linting() + return linting.lint_files(files) + + def pull(self) -> FilesDict: + files = {} + for path in self.working_dir.glob("**/*"): + if path.is_file(): + with open(path, "r") as f: + try: + content = f.read() + except UnicodeDecodeError: + content = "binary file" + files[str(path.relative_to(self.working_dir))] = content + return FilesDict(files) diff --git a/backend/Agents/gpt_engineer/core/default/paths.py b/backend/Agents/gpt_engineer/core/default/paths.py new file mode 100644 index 000000000..748659e5f --- /dev/null +++ b/backend/Agents/gpt_engineer/core/default/paths.py @@ -0,0 +1,86 @@ +""" +Module defining file system paths used by the application. + +This module contains definitions of file system paths that are used throughout the +application to locate and manage various files and directories, such as logs, memory, +and preprompts. + +Constants +--------- +META_DATA_REL_PATH : str + The relative path to the directory where metadata is stored. + +MEMORY_REL_PATH : str + The relative path to the directory where memory-related files are stored. + +CODE_GEN_LOG_FILE : str + The filename for the log file that contains all output from code generation. + +DEBUG_LOG_FILE : str + The filename for the log file that contains debug information. + +ENTRYPOINT_FILE : str + The filename for the entrypoint script that is executed to run the application. + +ENTRYPOINT_LOG_FILE : str + The filename for the log file that contains the chat related to entrypoint generation. + +PREPROMPTS_PATH : Path + The file system path to the directory containing preprompt files. + +Functions +--------- +memory_path : function + Constructs the full path to the memory directory based on a given base path. + +metadata_path : function + Constructs the full path to the metadata directory based on a given base path. +""" +import os + +from pathlib import Path + +META_DATA_REL_PATH = ".gpteng" +MEMORY_REL_PATH = os.path.join(META_DATA_REL_PATH, "memory") +CODE_GEN_LOG_FILE = "all_output.txt" +IMPROVE_LOG_FILE = "improve.txt" +DIFF_LOG_FILE = "diff_errors.txt" +DEBUG_LOG_FILE = "debug_log_file.txt" +ENTRYPOINT_FILE = "run.sh" +ENTRYPOINT_LOG_FILE = "gen_entrypoint_chat.txt" +PREPROMPTS_PATH = Path(__file__).parent.parent.parent / "preprompts" + + + +def memory_path(path): + """ + Constructs the full path to the memory directory based on a given base path. + + Parameters + ---------- + path : str + The base path to append the memory directory to. + + Returns + ------- + str + The full path to the memory directory. + """ + return os.path.join(path, MEMORY_REL_PATH) + + +def metadata_path(path): + """ + Constructs the full path to the metadata directory based on a given base path. + + Parameters + ---------- + path : str + The base path to append the metadata directory to. + + Returns + ------- + str + The full path to the metadata directory. + """ + return os.path.join(path, META_DATA_REL_PATH) diff --git a/backend/Agents/gpt_engineer/core/default/simple_agent.py b/backend/Agents/gpt_engineer/core/default/simple_agent.py new file mode 100644 index 000000000..87e54bd73 --- /dev/null +++ b/backend/Agents/gpt_engineer/core/default/simple_agent.py @@ -0,0 +1,100 @@ +""" +Module for defining a simple agent that uses AI to manage code generation and improvement. + +This module provides a class that represents an agent capable of initializing and improving +a codebase using AI. It handles interactions with the AI model, memory, and execution +environment to generate and refine code based on user prompts. + +""" + +import tempfile + +from typing import Optional + +from Agents.gpt_engineer.core.ai import AI +from Agents.gpt_engineer.core.base_agent import BaseAgent +from Agents.gpt_engineer.core.base_execution_env import BaseExecutionEnv +from Agents.gpt_engineer.core.base_memory import BaseMemory +from Agents.gpt_engineer.core.default.disk_execution_env import DiskExecutionEnv +from Agents.gpt_engineer.core.default.disk_memory import DiskMemory +from Agents.gpt_engineer.core.default.paths import PREPROMPTS_PATH, memory_path +from Agents.gpt_engineer.core.default.steps import gen_code, gen_entrypoint, improve_fn +from Agents.gpt_engineer.core.files_dict import FilesDict +from Agents.gpt_engineer.core.preprompts_holder import PrepromptsHolder +from Agents.gpt_engineer.core.prompt import Prompt + + +class SimpleAgent(BaseAgent): + """ + An agent that uses AI to generate and improve code based on a given prompt. + + This agent is capable of initializing a codebase from a prompt and improving an existing + codebase based on user input. It uses an AI model to generate and refine code, and it + interacts with a repository and an execution environment to manage and execute the code. + + Attributes + ---------- + memory : BaseMemory + The memory interface where the code and related data are stored. + execution_env : BaseExecutionEnv + The execution environment in which the code is executed. + ai : AI + The AI model used for generating and improving code. + preprompts_holder : PrepromptsHolder + The holder for preprompt messages that guide the AI model. + """ + + def __init__( + self, + memory: BaseMemory, + execution_env: BaseExecutionEnv, + ai: AI = None, + preprompts_holder: PrepromptsHolder = None, + ): + self.preprompts_holder = preprompts_holder or PrepromptsHolder(PREPROMPTS_PATH) + self.memory = memory + self.execution_env = execution_env + self.ai = ai or AI() + + @classmethod + def with_default_config( + cls, path: str, ai: AI = None, preprompts_holder: PrepromptsHolder = None + ): + return cls( + memory=DiskMemory(memory_path(path)), + execution_env=DiskExecutionEnv(), + ai=ai, + preprompts_holder=preprompts_holder or PrepromptsHolder(PREPROMPTS_PATH), + ) + + def init(self, prompt: Prompt) -> FilesDict: + files_dict = gen_code(self.ai, prompt, self.memory, self.preprompts_holder) + entrypoint = gen_entrypoint( + self.ai, prompt, files_dict, self.memory, self.preprompts_holder + ) + combined_dict = {**files_dict, **entrypoint} + files_dict = FilesDict(combined_dict) + return files_dict + + def improve( + self, + files_dict: FilesDict, + prompt: Prompt, + execution_command: Optional[str] = None, + ) -> FilesDict: + files_dict = improve_fn( + self.ai, prompt, files_dict, self.memory, self.preprompts_holder + ) + return files_dict + + +def default_config_agent(): + """ + Creates an instance of SimpleAgent with default configuration. + + Returns + ------- + SimpleAgent + An instance of SimpleAgent with a temporary directory as its base path. + """ + return SimpleAgent.with_default_config(tempfile.mkdtemp()) diff --git a/backend/Agents/gpt_engineer/core/default/steps.py b/backend/Agents/gpt_engineer/core/default/steps.py new file mode 100644 index 000000000..d9c0946a4 --- /dev/null +++ b/backend/Agents/gpt_engineer/core/default/steps.py @@ -0,0 +1,468 @@ +""" +Module for defining the steps involved in generating and improving code using AI. + +This module provides functions that represent different steps in the process of generating +and improving code using an AI model. These steps include generating code from a prompt, +creating an entrypoint for the codebase, executing the entrypoint, and refining code edits. + +Functions +--------- +curr_fn : function + Returns the name of the current function. + +setup_sys_prompt : function + Sets up the system prompt for generating code. + +gen_code : function + Generates code from a prompt using AI and returns the generated files. + +gen_entrypoint : function + Generates an entrypoint for the codebase and returns the entrypoint files. + +execute_entrypoint : function + Executes the entrypoint of the codebase. + +setup_sys_prompt_existing_code : function + Sets up the system prompt for improving existing code. + + +improve : function + Improves the code based on user input and returns the updated files. +""" + +import inspect +import io +import re +import subprocess +import sys +import traceback +import tempfile +from pathlib import Path +from typing import List, MutableMapping, Union +import tempfile +import os +from langchain.schema import HumanMessage, SystemMessage +from termcolor import colored + +from Agents.gpt_engineer.core.ai import AI +from Agents.gpt_engineer.core.base_execution_env import BaseExecutionEnv +from Agents.gpt_engineer.core.base_memory import BaseMemory +from Agents.gpt_engineer.core.chat_to_files import apply_diffs, chat_to_files_dict, parse_diffs +from Agents.gpt_engineer.core.default.constants import MAX_EDIT_REFINEMENT_STEPS +from Agents.gpt_engineer.core.default.paths import ( + CODE_GEN_LOG_FILE, + DEBUG_LOG_FILE, + DIFF_LOG_FILE, + ENTRYPOINT_FILE, + ENTRYPOINT_LOG_FILE, + IMPROVE_LOG_FILE, +) +from Agents.gpt_engineer.core.files_dict import FilesDict, file_to_lines_dict +from Agents.gpt_engineer.core.preprompts_holder import PrepromptsHolder +from Agents.gpt_engineer.core.prompt import Prompt +from Agents.gpt_engineer.core.diffprocessor import DiffProcessor + +def curr_fn() -> str: + """ + Returns the name of the current function. + + Returns + ------- + str + The name of the function that called this function. + """ + return inspect.stack()[1].function + + +def setup_sys_prompt(preprompts: MutableMapping[Union[str, Path], str]) -> str: + """ + Sets up the system prompt for generating code. + + Parameters + ---------- + preprompts : MutableMapping[Union[str, Path], str] + A mapping of preprompt messages to guide the AI model. + + Returns + ------- + str + The system prompt message for the AI model. + """ + return ( + preprompts["roadmap"] + + preprompts["generate"].replace("FILE_FORMAT", preprompts["file_format"]) + + "\nUseful to know:\n" + + preprompts["philosophy"] + ) + + +def setup_sys_prompt_existing_code( + preprompts: MutableMapping[Union[str, Path], str] +) -> str: + """ + Sets up the system prompt for improving existing code. + + Parameters + ---------- + preprompts : MutableMapping[Union[str, Path], str] + A mapping of preprompt messages to guide the AI model. + + Returns + ------- + str + The system prompt message for the AI model to improve existing code. + """ + return ( + preprompts["roadmap"] + + preprompts["improve"].replace("FILE_FORMAT", preprompts["file_format_diff"]) + + "\nUseful to know:\n" + + preprompts["philosophy"] + ) + + +def gen_code( + ai: AI, prompt: Prompt, memory: BaseMemory, preprompts_holder: PrepromptsHolder +) -> FilesDict: + """ + Generates code from a prompt using AI and returns the generated files. + + Parameters + ---------- + ai : AI + The AI model used for generating code. + prompt : str + The user prompt to generate code from. + memory : BaseMemory + The memory interface where the code and related data are stored. + preprompts_holder : PrepromptsHolder + The holder for preprompt messages that guide the AI model. + + Returns + ------- + FilesDict + A dictionary of file names to their respective source code content. + """ + preprompts = preprompts_holder.get_preprompts() + messages = ai.start( + setup_sys_prompt(preprompts), prompt.to_langchain_content(), step_name=curr_fn() + ) + chat = messages[-1].content.strip() + memory.log(CODE_GEN_LOG_FILE, "\n\n".join(x.pretty_repr() for x in messages)) + files_dict = chat_to_files_dict(chat) + return files_dict + + +def gen_entrypoint( + ai: AI, + prompt: Prompt, + files_dict: FilesDict, + memory: BaseMemory, + preprompts_holder: PrepromptsHolder, +) -> FilesDict: + """ + Generates an entrypoint for the codebase and returns the entrypoint files. + + Parameters + ---------- + ai : AI + The AI model used for generating the entrypoint. + files_dict : FilesDict + The dictionary of file names to their respective source code content. + memory : BaseMemory + The memory interface where the code and related data are stored. + preprompts_holder : PrepromptsHolder + The holder for preprompt messages that guide the AI model. + + Returns + ------- + FilesDict + A dictionary containing the entrypoint file. + """ + user_prompt = prompt.entrypoint_prompt + if not user_prompt: + user_prompt = """ + Make a unix script that + a) installs dependencies + b) runs all necessary parts of the codebase (in parallel if necessary) + """ + preprompts = preprompts_holder.get_preprompts() + messages = ai.start( + system=(preprompts["entrypoint"]), + user=user_prompt + + "\nInformation about the codebase:\n\n" + + files_dict.to_chat(), + step_name=curr_fn(), + ) + print() + chat = messages[-1].content.strip() + regex = r"```\S*\n(.+?)```" + matches = re.finditer(regex, chat, re.DOTALL) + entrypoint_code = FilesDict( + {ENTRYPOINT_FILE: "\n".join(match.group(1) for match in matches)} + ) + memory.log(ENTRYPOINT_LOG_FILE, "\n\n".join(x.pretty_repr() for x in messages)) + return entrypoint_code + + +def execute_entrypoint( + ai: AI, + execution_env: BaseExecutionEnv, + files_dict: FilesDict, + prompt: Prompt = None, + preprompts_holder: PrepromptsHolder = None, + memory: BaseMemory = None, +) -> FilesDict: + """ + Executes the entrypoint of the codebase. + + Parameters + ---------- + ai : AI + The AI model used for generating the entrypoint. + execution_env : BaseExecutionEnv + The execution environment in which the code is executed. + files_dict : FilesDict + The dictionary of file names to their respective source code content. + preprompts_holder : PrepromptsHolder, optional + The holder for preprompt messages that guide the AI model. + + Returns + ------- + FilesDict + The dictionary of file names to their respective source code content after execution. + """ + if ENTRYPOINT_FILE not in files_dict: + raise FileNotFoundError( + "The required entrypoint " + + ENTRYPOINT_FILE + + " does not exist in the code." + ) + + command = files_dict[ENTRYPOINT_FILE] + + print() + print( + colored( + "Do you want to execute this code? (Y/n)", + "red", + ) + ) + print() + print(command) + print() + if input("").lower() not in ["", "y", "yes"]: + print("Ok, not executing the code.") + return files_dict + print("Executing the code...") + print() + print( + colored( + "Note: If it does not work as expected, consider running the code" + + " in another way than above.", + "green", + ) + ) + print() + print("You can press ctrl+c *once* to stop the execution.") + print() + + execution_env.upload(files_dict).run(f"bash {ENTRYPOINT_FILE}") + return files_dict + + +def handle_improve_mode(prompt, agent, memory, files_dict, diff_timeout=3): + captured_output = io.StringIO() + old_stdout = sys.stdout + sys.stdout = Tee(sys.stdout, captured_output) + + try: + files_dict = agent.improve(files_dict, prompt, diff_timeout=diff_timeout) + except Exception as e: + print( + f"Error while improving the project: {e}\nCould you please upload the debug_log_file.txt in {memory.path}/logs folder to github?\nFULL STACK TRACE:\n" + ) + traceback.print_exc(file=sys.stdout) # Print the full stack trace + finally: + # Reset stdout + sys.stdout = old_stdout + + # Get the captured output + captured_string = captured_output.getvalue() + print(captured_string) + memory.log(DEBUG_LOG_FILE, "\nCONSOLE OUTPUT:\n" + captured_string) + + return files_dict + +def improve_fn( + ai: AI, + prompt: Prompt, + files_dict: FilesDict, + memory: BaseMemory, + preprompts_holder: PrepromptsHolder, + repo_path='', + diff_timeout=3, +) -> FilesDict: + """ + Improves the code based on user input and returns the updated files. + + Parameters + ---------- + ai : AI + The AI model used for improving code. + prompt :str + The user prompt to improve the code. + files_dict : FilesDict + The dictionary of file names to their respective source code content. + memory : BaseMemory + The memory interface where the code and related data are stored. + preprompts_holder : PrepromptsHolder + The holder for preprompt messages that guide the AI model. + + Returns + ------- + FilesDict + The dictionary of file names to their respective updated source code content. + """ + preprompts = preprompts_holder.get_preprompts() + messages = [ + SystemMessage(content=setup_sys_prompt_existing_code(preprompts)), + ] + + # Add files as input + messages.append(HumanMessage(content=f"{files_dict.to_chat()}")) + messages.append(HumanMessage(content=prompt.to_langchain_content())) + memory.log( + DEBUG_LOG_FILE, + "UPLOADED FILES:\n" + files_dict.to_log() + "\nPROMPT:\n" + prompt.text, + ) + return _improve_loop(ai, files_dict, memory, messages, repo_path, diff_timeout=diff_timeout) + +def _improve_loop( + ai: AI, + files_dict: FilesDict, + memory: BaseMemory, + messages: List, + repo_path='', + diff_timeout=3 +) -> FilesDict: + messages = ai.next(messages, step_name=curr_fn(), structured_output=True) + files_dict, errors = salvage_correct_hunks( + messages, files_dict, memory, repo_path, diff_timeout=diff_timeout + ) + + + retries = 0 + while errors and retries < MAX_EDIT_REFINEMENT_STEPS: + messages.append( + HumanMessage( + content="Some previously produced diffs were not on the requested format, or the code part was not found in the code. Details:\n" + + "\n".join(errors) + + "\n Only rewrite the problematic diffs, making sure that the failing ones are now on the correct format and can be found in the code. Make sure to not repeat past mistakes. \n" + ) + ) + messages = ai.next(messages, step_name=curr_fn(), structured_output=True) + files_dict, errors = salvage_correct_hunks( + messages, files_dict, memory, repo_path, diff_timeout + ) + retries += 1 + + return files_dict + +def salvage_correct_hunks(messages, files_dict, memory, repo_path, diff_timeout=3): + import os, subprocess, tempfile + from pathlib import Path + + error_messages = [] + diff_text = messages[-1].content.strip() + filename = messages[-1].filename + base_name = os.path.basename(filename) + + repo = Path(repo_path).resolve() + if not (repo / base_name).exists(): + error_messages.append(f"Arquivo {base_name} não encontrado dentro de {repo}") + return files_dict, error_messages + + # Garante cabeçalhos válidos + if not diff_text.startswith("--- "): + diff_text = f"--- {base_name}\n+++ {base_name}\n" + diff_text + + # Cria arquivo temporário com o patch + with tempfile.NamedTemporaryFile("w+", delete=False, suffix=".diff", encoding="utf-8") as tmp: + tmp.write(diff_text) + tmp_path = tmp.name + + print(f"[diff] Aplicando via git apply em {repo}") + + try: + # Primeiro tenta modo seguro 3-way + result = subprocess.run( + ["git", "apply", "--3way", "--ignore-space-change", "--whitespace=nowarn", tmp_path], + cwd=repo, + text=True, + capture_output=True, + ) + if result.returncode != 0: + print(f"[diff] ⚠ Falha no modo 3way, tentando modo direto...") + result = subprocess.run( + ["git", "apply", "--ignore-space-change", "--whitespace=nowarn", "--reject", tmp_path], + cwd=repo, + text=True, + capture_output=True, + ) + + if result.returncode == 0: + print(f"[diff] ✅ Patch aplicado com sucesso em {base_name}") + else: + print(f"[diff] ❌ Falha ao aplicar patch:\n{result.stderr}") + error_messages.append(result.stderr.strip()) + + finally: + os.remove(tmp_path) + + return files_dict, error_messages + +# def salvage_correct_hunks( +# messages: List, files_dict: FilesDict, memory: BaseMemory, repo_path='', diff_timeout=3 +# ) -> tuple[FilesDict, List[str]]: +# error_messages = [] +# ai_response = messages[-1].content.strip() + +# diffs = parse_diffs(ai_response, diff_timeout=diff_timeout) +# print(f"diff {diffs}") + +# for _, diff in diffs.items(): +# print(f"_ {_}") +# print(f"diff {diff}") +# print(f"files_dict.keys() {files_dict.keys()}") + +# # Se o arquivo pré-existente não existe, criar vazio +# if not diff.is_new_file() and diff.filename_pre not in files_dict: +# files_dict[diff.filename_pre] = "" + + +# # if diff is a new file, validation and correction is unnecessary +# if not diff.is_new_file(): +# problems = diff.validate_and_correct( +# file_to_lines_dict(files_dict[diff.filename_pre]) +# ) +# error_messages.extend(problems) + +# files_dict = apply_diffs(diffs, files_dict) + +# memory.log(IMPROVE_LOG_FILE, "\n\n".join(x.pretty_repr() for x in messages)) +# memory.log(DIFF_LOG_FILE, "\n\n".join(error_messages)) +# return files_dict, error_messages + + +class Tee(object): + def __init__(self, *files): + self.files = files + + def write(self, obj): + for file in self.files: + file.write(obj) + + def flush(self): + for file in self.files: + file.flush() + diff --git a/backend/Agents/gpt_engineer/core/diff.py b/backend/Agents/gpt_engineer/core/diff.py new file mode 100644 index 000000000..b66393262 --- /dev/null +++ b/backend/Agents/gpt_engineer/core/diff.py @@ -0,0 +1,421 @@ +""" +File Overview: diff.py + +This Python module is designed for processing and analyzing diffs in source code files. Diffs represent the changes between two versions of a file, which are crucial in version control systems for tracking file modifications. The module focuses on the detailed examination of these diffs, enabling users to understand, validate, and correct changes between file versions. + +Key Features: + +1. The `Hunk` class encapsulates a contiguous block of changes within a file. It includes detailed information such as start lines before and after edits, lengths of change blocks, and specific line changes categorized as additions, deletions, or unchanged. + +2. The `Diff` class represents a complete set of changes across a file and may contain multiple `Hunk` objects. It facilitates operations like generating string representations of diffs, and validating and correcting hunks based on the original file content. + +3. Functions within the module allow for the validation of hunks against original files, identifying mismatches, and making necessary corrections. This feature ensures that diffs are accurate and reflect true changes. + +4. Utility functions `is_similar` and `count_ratio` offer the capability to compare strings for similarity, accounting for variations in spacing and case. This aids in the validation process by allowing a flexible comparison of code lines. + +Dependencies: + +- `logging`: Utilized for logging warnings and errors encountered during the validation and correction process. +- `collections.Counter`: Used for counting occurrences of characters in strings, supporting the string similarity assessment functions. + +Functions and Classes: + +1. `Hunk`: Class representing a block of changes within a file, with methods for managing and validating these changes. + +2. `Diff`: Class representing the entire set of changes in a file, containing multiple `Hunk` instances and methods for overall diff management. + +3. `is_similar(str1, str2, similarity_threshold)`: Function to compare two strings for similarity, useful in validating line changes in hunks. + +4. `count_ratio(str1, str2)`: Function that computes the ratio of common characters to the length of the longer string, aiding in the assessment of line similarity. + +This module is essential for developers and teams utilizing version control systems, providing tools for a deeper analysis and correction of diffs, ensuring the integrity and accuracy of code changes. + +""" +import logging + +from collections import Counter +from typing import List + +RETAIN = "retain" +ADD = "add" +REMOVE = "remove" + + +class Hunk: + """ + Represents a section of a file diff, containing changes made to that section. + + Attributes: + start_line_pre_edit (int): The starting line number in the original file. + hunk_len_pre_edit (int): The length of the hunk in the original file. + start_line_post_edit (int): The starting line number in the edited file. + hunk_len_post_edit (int): The length of the hunk in the edited file. + lines (list): A list of tuples representing the lines in the hunk and their types (RETAIN, ADD, REMOVE). + category_counts (dict): A count of lines by their type. + is_new_file (bool): Flag indicating if the hunk represents a new file. + """ + + def __init__( + self, + start_line_pre_edit, + hunk_len_pre_edit, + start_line_post_edit, + hunk_len_post_edit, + lines, + ) -> None: + self.start_line_pre_edit = start_line_pre_edit + self.hunk_len_pre_edit = hunk_len_pre_edit + self.start_line_post_edit = start_line_post_edit + self.hunk_len_post_edit = hunk_len_post_edit + self.category_counts = {RETAIN: 0, ADD: 0, REMOVE: 0} + self.lines = list() + self.add_lines(lines) + self.forward_block_len = 10 + # Note that this assumption should not be done on hunk level, however, if the below is true, no validation is possible anyway. + if self.category_counts[RETAIN] == 0 and self.category_counts[REMOVE] == 0: + self.is_new_file = True + else: + self.is_new_file = False + + def add_retained_line(self, line, index) -> None: + """Adds a retained line to the hunk at the specified index.""" + self.lines.insert(index, (RETAIN, line)) + self.category_counts[RETAIN] += 1 + + def relabel_line(self, index, new_label) -> None: + """Changes the label of a line at the specified index.""" + old_label = self.lines[index][0] + self.lines[index] = (new_label, self.lines[index][1]) + self.category_counts[old_label] -= 1 + self.category_counts[new_label] += 1 + + def pop_line(self, line, index) -> None: + """Removes a line from the hunk at the specified index.""" + self.lines.pop(index) + assert self.category_counts[line[0]] > 0 + self.category_counts[line[0]] -= 1 + + def add_lines(self, new_lines) -> None: + """Adds multiple lines to the hunk.""" + for line in new_lines: + self.lines.append(line) + self.category_counts[line[0]] += 1 + + def hunk_to_string(self) -> str: + """Converts the hunk to a string representation.""" + string = f"@@ -{self.start_line_pre_edit},{self.hunk_len_pre_edit} +{self.start_line_post_edit},{self.hunk_len_post_edit} @@\n" + for line_type, line_content in self.lines: + line_prefix = ( + " " if line_type == RETAIN else "+" if line_type == ADD else "-" + ) + string += f"{line_prefix}{line_content}\n" + return string + + def make_forward_block(self, hunk_ind: int, forward_block_len) -> str: + """Creates a block of lines for forward comparison.""" + forward_lines = [ + line[1] for line in self.lines[hunk_ind:] if not line[0] == ADD + ] + forward_block = "\n".join(forward_lines[0:forward_block_len]) + return forward_block + + def check_start_line(self, lines_dict: dict) -> bool: + """Check if the starting line of a hunk is present in the original code and returns a boolean value accordingly.""" + if self.is_new_file: + # this hunk cannot be falsified and is by definition true + return True + if self.start_line_pre_edit in lines_dict: + # check the location of the actual starting line: + is_similar(self.lines[0][1], lines_dict[self.start_line_pre_edit]) + else: + pass + + def find_start_line(self, lines_dict: dict, problems: list) -> bool: + """Finds the starting line of the hunk in the original code and returns a boolean value accordingly. If the starting line is not found, it appends a problem message to the problems list.""" + + # ToDo handle the case where the start line is 0 or 1 characters separately + if self.lines[0][0] == ADD: + # handle the case where the start line is an add + start_line = None + # find the first line that is not an add + for index, line in enumerate(self.lines): + if line[0] != ADD: + for line_number, line_content in lines_dict.items(): + # if the line is similar to a non-blank line in line_dict, we can pick the line prior to it + if is_similar(line[1], line_content) and line[1] != "": + start_line = line_number - 1 + break + # if the start line is not found, append a problem message + if start_line is None: + problems.append( + f"In {self.hunk_to_string()}:can not find the starting line of the diff" + ) + return False + + else: + # the line prior to the start line is found now we insert it to the first place as the start line + self.start_line_pre_edit = start_line + retain_line = lines_dict.get(start_line, "") + if retain_line: + self.add_retained_line(lines_dict[start_line], 0) + return self.validate_and_correct(lines_dict, problems) + else: + problems.append( + f"In {self.hunk_to_string()}:The starting line of the diff {self.hunk_to_string()} does not exist in the code" + ) + return False + pot_start_lines = { + key: is_similar(self.lines[0][1], line) for key, line in lines_dict.items() + } + sum_of_matches = sum(pot_start_lines.values()) + if sum_of_matches == 0: + # before we go any further, we should check if it's a comment from LLM + if self.lines[0][1].count("#") > 0: + # if it is, we can mark it as an ADD lines + self.relabel_line(0, ADD) + # and restart the validation at the next line + return self.validate_and_correct(lines_dict, problems) + + else: + problems.append( + f"In {self.hunk_to_string()}:The starting line of the diff {self.hunk_to_string()} does not exist in the code" + ) + return False + elif sum_of_matches == 1: + start_ind = list(pot_start_lines.keys())[ + list(pot_start_lines.values()).index(True) + ] # lines are one indexed + else: + logging.warning("multiple candidates for starting index") + # ToDo handle all the cases better again here. Smartest choice is that, for each candidate check match to the next line etc (recursively) + start_ind = list(pot_start_lines.keys())[ + list(pot_start_lines.values()).index(True) + ] + self.start_line_pre_edit = start_ind + + # This should now be fulfilled by default + assert is_similar(self.lines[0][1], lines_dict[self.start_line_pre_edit]) + return True + + def validate_lines(self, lines_dict: dict, problems: list) -> bool: + """Validates the lines of the hunk against the original file and returns a boolean value accordingly. If the lines do not match, it appends a problem message to the problems list.""" + hunk_ind = 0 + file_ind = self.start_line_pre_edit + # make an orig hunk lines for logging + # orig_hunk_lines = deepcopy(self.lines) + while hunk_ind < len(self.lines) and file_ind <= max(lines_dict): + if self.lines[hunk_ind][0] == ADD: + # this cannot be validated, jump one index + hunk_ind += 1 + elif not is_similar(self.lines[hunk_ind][1], lines_dict[file_ind]): + # before we go any further, we should relabel the comment from LLM + if self.lines[hunk_ind][1].count("#") > 0: + self.relabel_line(hunk_ind, ADD) + continue + + # make a forward block from the code for comparisons + forward_code = "\n".join( + [ + lines_dict[ind] + for ind in range( + file_ind, + min( + file_ind + self.forward_block_len, + max(lines_dict.keys()), + ), + ) + ] + ) + # make the original forward block for quantitative comparison + forward_block = self.make_forward_block( + hunk_ind, self.forward_block_len + ) + orig_count_ratio = count_ratio(forward_block, forward_code) + # Here we have 2 cases + # 1) some lines were simply skipped in the diff and we should add them to the diff + # If this is the case, adding the line to the diff, should give an improved forward diff + forward_block_missing_line = self.make_forward_block( + hunk_ind, self.forward_block_len - 1 + ) + # insert the missing line in front of the block + forward_block_missing_line = "\n".join( + [lines_dict[file_ind], forward_block_missing_line] + ) + missing_line_count_ratio = count_ratio( + forward_block_missing_line, forward_code + ) + # 2) Additional lines, not belonging to the code were added to the diff + forward_block_false_line = self.make_forward_block( + hunk_ind + 1, self.forward_block_len + ) + false_line_count_ratio = count_ratio( + forward_block_false_line, forward_code + ) + if ( + orig_count_ratio >= missing_line_count_ratio + and orig_count_ratio >= false_line_count_ratio + ): + problems.append( + f"In Hunk:{self.hunk_to_string()}, there was at least one mismatch." + ) + return False + + elif missing_line_count_ratio > false_line_count_ratio: + self.add_retained_line(lines_dict[file_ind], hunk_ind) + hunk_ind += 1 + file_ind += 1 + # NOTE: IF THE LLM SKIPS SOME LINES AND HAS ADDs ADJACENT TO THE SKIPPED BLOCK, + # WE CANNOT KNOW WHETHER THE ADDs SHOULD BE BEFORE OR AFTER THE BLOCK. WE OPT FOR PUTTING IT BEFORE. + # IF IT MATTERED, WE ASSUME THE LLM WOULD NOT SKIP THE BLOCK + else: + self.pop_line(self.lines[hunk_ind], hunk_ind) + + else: + hunk_ind += 1 + file_ind += 1 + # if we have not validated all lines, we have a problem + if hunk_ind < len(self.lines) - 1: + remaining_lines = "\n".join( + f"{line_type}: {line_content}" + for line_type, line_content in self.lines[file_ind + 1 :] + ) + problems.append( + f"In {self.hunk_to_string()}:Hunk validation stopped before the lines {remaining_lines} were validated. The diff is incorrect" + ) + return False + return True + + def validate_and_correct( + self, + lines_dict: dict, + problems: list, + ) -> bool: + """ + Validates and corrects the hunk based on the original lines. + + This function attempts to validate the hunk by comparing its lines to the original file and making corrections + where necessary. It also identifies problems such as non-matching lines or incorrect line types. + """ + start_true = self.check_start_line(lines_dict) + + if not start_true: + if not self.find_start_line(lines_dict, problems): + return False + + # Now we should be able to validate the hunk line by line and add missing line + if not self.validate_lines(lines_dict, problems): + return False + # Pass the validation + return True + + +class Diff: + """ + Represents a file diff, containing multiple hunks of changes. + + Attributes: + filename_pre (str): The name of the original file. + filename_post (str): The name of the edited file. + hunks (list): A list of Hunk objects representing the changes in the diff. + """ + + def __init__(self, filename_pre, filename_post) -> None: + self.filename_pre = filename_pre + self.filename_post = filename_post + self.hunks = [] + + def is_new_file(self) -> bool: + """Determines if the diff represents a new file.""" + if self.filename_pre == "/dev/null": + return True + return any(hunk.is_new_file for hunk in self.hunks) + + def diff_to_string(self) -> str: + """Converts the diff to a string representation.""" + string = f"--- {self.filename_pre}\n+++ {self.filename_post}\n" + for hunk in self.hunks: + string += hunk.hunk_to_string() + return string.strip() + + def validate_and_correct(self, lines_dict: dict) -> List[str]: + """Validates and corrects each hunk in the diff.""" + problems = [] + past_hunk = None + cut_lines_dict = lines_dict.copy() + for hunk in self.hunks: + if past_hunk is not None: + # make sure to not cut so much that the start_line gets out of range + cut_ind = min( + past_hunk.start_line_pre_edit + past_hunk.hunk_len_pre_edit, + hunk.start_line_pre_edit, + ) + cut_lines_dict = { + key: val for key, val in cut_lines_dict.items() if key >= (cut_ind) + } + is_valid = hunk.validate_and_correct(cut_lines_dict, problems) + if not is_valid and len(problems) > 0: + for idx, val in enumerate(problems): + print(f"\nInvalid Hunk NO.{idx}---\n{val}\n---") + self.hunks.remove(hunk) + # now correct the numbers, assuming the start line pre-edit has been fixed + hunk.hunk_len_pre_edit = ( + hunk.category_counts[RETAIN] + hunk.category_counts[REMOVE] + ) + hunk.hunk_len_post_edit = ( + hunk.category_counts[RETAIN] + hunk.category_counts[ADD] + ) + if past_hunk is not None: + hunk.start_line_post_edit = ( + hunk.start_line_pre_edit + + past_hunk.hunk_len_post_edit + - past_hunk.hunk_len_pre_edit + + past_hunk.start_line_post_edit + - past_hunk.start_line_pre_edit + ) + else: + hunk.start_line_post_edit = hunk.start_line_pre_edit + past_hunk = hunk + return problems + + +def is_similar(str1, str2, similarity_threshold=0.9) -> bool: + """ + Compares two strings for similarity, ignoring spaces and case. + + Parameters + ---------- + str1, str2 : str + The strings to compare. + similarity_threshold: float + How similar must the strings be + + Returns + ------- + bool + True if the strings are similar, False otherwise. + """ + + return count_ratio(str1, str2) >= similarity_threshold + + +def count_ratio(str1, str2) -> float: + """ + Computes the ratio of common characters to the length of the longer string, ignoring spaces and case. + + Parameters: + - str1, str2 (str): The strings to compare. + + Returns: + - float: The ratio of common characters to the length of the longer string. + """ + str1, str2 = str1.replace(" ", "").lower(), str2.replace(" ", "").lower() + + counter1, counter2 = Counter(str1), Counter(str2) + intersection = sum((counter1 & counter2).values()) + longer_length = max(len(str1), len(str2)) + if longer_length == 0: + return 1 + else: + return intersection / longer_length + + diff --git a/backend/Agents/gpt_engineer/core/diffprocessor.py b/backend/Agents/gpt_engineer/core/diffprocessor.py new file mode 100644 index 000000000..a3776d182 --- /dev/null +++ b/backend/Agents/gpt_engineer/core/diffprocessor.py @@ -0,0 +1,111 @@ +""" +File Overview: diffprocessor.py + +Este módulo substitui toda a lógica manual de parsing e aplicação de diffs. +Agora utiliza a biblioteca `unidiff` para leitura e análise detalhada dos patches +e delega a aplicação real para o `git apply --3way`, garantindo máxima compatibilidade +com o comportamento nativo do Git. + +Principais recursos: +- Leitura de diffs padrão (unified format) usando `unidiff`. +- Validação básica dos blocos de alteração. +- Aplicação real do patch usando `git apply --3way` com fallback seguro. +- Logs estruturados para auditoria e debugging. + +Dependências: +- unidiff (pip install unidiff) +- git instalado no sistema +""" + +import subprocess +import logging +from pathlib import Path +from unidiff import PatchSet + +logger = logging.getLogger(__name__) +logging.basicConfig(level=logging.INFO, format="[diff] %(message)s") + + +class DiffProcessor: + """ + Classe de alto nível para leitura, análise e aplicação de diffs. + Usa o `unidiff` para parsing e `git apply` para a aplicação real. + """ + + def __init__(self, diff_path="", diff_content=False, f=""): + if diff_content == False: + self.diff_path = Path(diff_path) + if not self.diff_path.exists(): + raise FileNotFoundError(f"Arquivo de diff não encontrado: {self.diff_path}") + self.patchset = None + elif diff_content == True: + self.patchset = PatchSet(f) + + def parse(self): + """Lê e analisa o diff usando `unidiff`.""" + with open(self.diff_path, "r", encoding="utf-8") as f: + self.patchset = PatchSet(f) + logger.info(f"Diff carregado com {len(self.patchset)} arquivos modificados.") + return self.patchset + + def summary(self): + """Retorna um resumo textual das mudanças contidas no diff.""" + if not self.patchset: + self.parse() + + summary_lines = [] + for patched_file in self.patchset: + added = sum(1 for h in patched_file for l in h if l.is_added) + removed = sum(1 for h in patched_file for l in h if l.is_removed) + summary_lines.append( + f"{patched_file.path}: +{added} / -{removed} linhas" + ) + return "\n".join(summary_lines) + + def validate(self): + """Valida se os arquivos referenciados existem antes de aplicar.""" + if not self.patchset: + self.parse() + + problems = [] + for patched_file in self.patchset: + if not Path(patched_file.path).exists() and not patched_file.is_added_file: + problems.append(f"Arquivo não encontrado: {patched_file.path}") + if problems: + logger.warning("⚠️ Problemas de validação encontrados:\n" + "\n".join(problems)) + else: + logger.info("✅ Todos os arquivos do diff foram validados com sucesso.") + return problems + + def apply(self, repo_path: str = "."): + """ + Aplica o diff usando `git apply --3way`. + Caso falhe, tenta fallback com `--reject` (gera .rej com falhas). + """ + repo = Path(repo_path) + if not repo.exists(): + raise FileNotFoundError(f"Repositório não encontrado: {repo_path}") + + try: + logger.info("Tentando aplicar patch com git apply --3way ...") + subprocess.run( + ["git", "apply", "--3way", '--ignore-whitespace', str(self.diff_path)], + cwd=repo, + check=True, + text=True, + capture_output=True, + ) + logger.info("✅ Patch aplicado com sucesso (modo 3-way).") + except subprocess.CalledProcessError as e: + logger.warning("⚠️ Falha no modo 3-way, tentando fallback com --reject...") + reject_proc = subprocess.run( + ["git", "apply", "--reject", str(self.diff_path)], + cwd=repo, + text=True, + capture_output=True, + ) + if reject_proc.returncode == 0: + logger.info("✅ Patch parcialmente aplicado (arquivos .rej gerados).") + else: + logger.error(f"❌ Erro ao aplicar patch:\n{reject_proc.stderr}") + raise RuntimeError("Falha ao aplicar patch.") from e diff --git a/backend/Agents/gpt_engineer/core/files_dict.py b/backend/Agents/gpt_engineer/core/files_dict.py new file mode 100644 index 000000000..3f26a3ff2 --- /dev/null +++ b/backend/Agents/gpt_engineer/core/files_dict.py @@ -0,0 +1,115 @@ +""" +FilesDict Module + +This module provides a FilesDict class which is a dictionary-based container for managing code files. +It extends the standard dictionary to enforce string keys and values, representing filenames and their +corresponding code content. It also provides methods to format its contents for chat-based interaction +with an AI agent and to enforce type checks on keys and values. + +Classes: + FilesDict: A dictionary-based container for managing code files. +""" +from collections import OrderedDict +from pathlib import Path +from typing import Union + + +# class Code(MutableMapping[str | Path, str]): +# ToDo: implement as mutable mapping, potentially holding a dict instead of being a dict. +class FilesDict(dict): + """ + A dictionary-based container for managing code files. + + This class extends the standard dictionary to enforce string keys and values, + representing filenames and their corresponding code content. It provides methods + to format its contents for chat-based interaction with an AI agent and to enforce + type checks on keys and values. + """ + + def __setitem__(self, key: Union[str, Path], value: str): + """ + Set the code content for the given filename, enforcing type checks on the key and value. + + Overrides the dictionary's __setitem__ to enforce type checks on the key and value. + The key must be a string or a Path object, and the value must be a string representing + the code content. + + Parameters + ---------- + key : Union[str, Path] + The filename as a key for the code content. + value : str + The code content to associate with the filename. + + Raises + ------ + TypeError + If the key is not a string or Path, or if the value is not a string. + """ + if not isinstance(key, (str, Path)): + raise TypeError("Keys must be strings or Path's") + if not isinstance(value, str): + raise TypeError("Values must be strings") + super().__setitem__(key, value) + + def to_chat(self): + """ + Formats the items of the object (assuming file name and content pairs) + into a string suitable for chat display. + + Returns + ------- + str + A string representation of the files. + """ + chat_str = "" + for file_name, file_content in self.items(): + lines_dict = file_to_lines_dict(file_content) + chat_str += f"File: {file_name}\n" + for line_number, line_content in lines_dict.items(): + chat_str += f"{line_number} {line_content}\n" + chat_str += "\n" + return f"```\n{chat_str}```" + + def to_log(self): + """ + Formats the items of the object (assuming file name and content pairs) + into a string suitable for log display. + + Returns + ------- + str + A string representation of the files. + """ + log_str = "" + for file_name, file_content in self.items(): + log_str += f"File: {file_name}\n" + log_str += file_content + log_str += "\n" + return log_str + + +def file_to_lines_dict(file_content: str) -> dict: + """ + Converts file content into a dictionary where each line number is a key + and the corresponding line content is the value. + + Parameters + ---------- + file_name : str + The name of the file. + file_content : str + The content of the file. + + Returns + ------- + dict + A dictionary with file names as keys and dictionaries (line numbers as keys and line contents as values) as values. + """ + lines_dict = OrderedDict( + { + line_number: line_content + for line_number, line_content in enumerate(file_content.split("\n"), 1) + } + ) + return lines_dict diff --git a/backend/Agents/gpt_engineer/core/git.py b/backend/Agents/gpt_engineer/core/git.py new file mode 100644 index 000000000..b6475c999 --- /dev/null +++ b/backend/Agents/gpt_engineer/core/git.py @@ -0,0 +1,85 @@ +import shutil +import subprocess + +from pathlib import Path +from typing import List + +from Agents.gpt_engineer.core.files_dict import FilesDict + + +def is_git_installed(): + return shutil.which("git") is not None + + +def is_git_repo(path: Path): + return ( + subprocess.run( + ["git", "rev-parse", "--is-inside-work-tree"], + cwd=path, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + ).returncode + == 0 + ) + + +def init_git_repo(path: Path): + subprocess.run(["git", "init"], cwd=path) + + +def has_uncommitted_changes(path: Path): + return bool( + subprocess.run( + ["git", "diff", "--exit-code"], + cwd=path, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + ).returncode + ) + + +def filter_files_with_uncommitted_changes( + basepath: Path, files_dict: FilesDict +) -> List[Path]: + files_with_diff = ( + subprocess.run( + ["git", "diff", "--name-only"], cwd=basepath, stdout=subprocess.PIPE + ) + .stdout.decode() + .splitlines() + ) + return [f for f in files_dict.keys() if f in files_with_diff] + + +def stage_files(path: Path, files: List[str]): + subprocess.run(["git", "add", *files], cwd=path) + + +def filter_by_gitignore(path: Path, file_list: List[str]) -> List[str]: + out = subprocess.run( + ["git", "-C", ".", "check-ignore", "--no-index", "--stdin"], + cwd=path, + input="\n".join(file_list).encode(), + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + ) + paths = out.stdout.decode().splitlines() + # return file_list but filter out the results from git check-ignore + return [f for f in file_list if f not in paths] + + +def stage_uncommitted_to_git(path, files_dict, improve_mode): + # Check if there's a git repo and verify that there aren't any uncommitted changes + if is_git_installed() and not improve_mode: + if not is_git_repo(path): + print("\nInitializing an empty git repository") + init_git_repo(path) + + if is_git_repo(path): + modified_files = filter_files_with_uncommitted_changes(path, files_dict) + if modified_files: + print( + "Staging the following uncommitted files before overwriting: ", + ", ".join(modified_files), + ) + stage_files(path, modified_files) diff --git a/backend/Agents/gpt_engineer/core/linting.py b/backend/Agents/gpt_engineer/core/linting.py new file mode 100644 index 000000000..f36229a36 --- /dev/null +++ b/backend/Agents/gpt_engineer/core/linting.py @@ -0,0 +1,64 @@ +import black + +from Agents.gpt_engineer.core.files_dict import FilesDict + + +class Linting: + def __init__(self): + # Dictionary to hold linting methods for different file types + self.linters = {".py": self.lint_python} + + import black + + def lint_python(self, content, config): + """Lint Python files using the `black` library, handling all exceptions silently and logging them. + This function attempts to format the code and returns the formatted code if successful. + If any error occurs during formatting, it logs the error and returns the original content. + """ + try: + # Try to format the content using black + linted_content = black.format_str(content, mode=black.FileMode(**config)) + except black.NothingChanged: + # If nothing changed, log the info and return the original content + print("\nInfo: No changes were made during formatting.\n") + linted_content = content + except Exception as error: + # If any other exception occurs, log the error and return the original content + print(f"\nError: Could not format due to {error}\n") + linted_content = content + return linted_content + + def lint_files(self, files_dict: FilesDict, config: dict = None) -> FilesDict: + """ + Lints files based on their extension using registered linting functions. + + Parameters + ---------- + files_dict : FilesDict + The dictionary of file names to their respective source code content. + config : dict, optional + A dictionary of configuration options for the linting tools. + + Returns + ------- + FilesDict + The dictionary of file names to their respective source code content after linting. + """ + if config is None: + config = {} + + for filename, content in files_dict.items(): + extension = filename[ + filename.rfind(".") : + ].lower() # Ensure case insensitivity + if extension in self.linters: + original_content = content + linted_content = self.linters[extension](content, config) + if linted_content != original_content: + print(f"Linted {filename}.") + else: + print(f"No changes made for {filename}.") + files_dict[filename] = linted_content + else: + print(f"No linter registered for {filename}.") + return files_dict diff --git a/backend/Agents/gpt_engineer/core/preprompts_holder.py b/backend/Agents/gpt_engineer/core/preprompts_holder.py new file mode 100644 index 000000000..17b0d3789 --- /dev/null +++ b/backend/Agents/gpt_engineer/core/preprompts_holder.py @@ -0,0 +1,29 @@ +from pathlib import Path +from typing import Dict + +from Agents.gpt_engineer.core.default.disk_memory import DiskMemory + + +class PrepromptsHolder: + """ + A holder for preprompt texts that are stored on disk. + + This class provides methods to retrieve preprompt texts from a specified directory. + + Attributes + ---------- + preprompts_path : Path + The file path to the directory containing preprompt texts. + + Methods + ------- + get_preprompts() -> Dict[str, str] + Retrieve all preprompt texts from the directory and return them as a dictionary. + """ + + def __init__(self, preprompts_path: Path): + self.preprompts_path = preprompts_path + + def get_preprompts(self) -> Dict[str, str]: + preprompts_repo = DiskMemory(self.preprompts_path) + return {file_name: preprompts_repo[file_name] for file_name in preprompts_repo} diff --git a/backend/Agents/gpt_engineer/core/project_config.py b/backend/Agents/gpt_engineer/core/project_config.py new file mode 100644 index 000000000..137a5558c --- /dev/null +++ b/backend/Agents/gpt_engineer/core/project_config.py @@ -0,0 +1,158 @@ +""" +Functions for reading and writing the `gpt-engineer.toml` configuration file. + +The `gpt-engineer.toml` file is a TOML file that contains project-specific configuration used by the GPT Engineer CLI and gptengineer.app. +""" +from dataclasses import asdict, dataclass, field +from pathlib import Path + +import tomlkit + +default_config_filename = "gpt-engineer.toml" + +example_config = """ +[run] +build = "npm run build" +test = "npm run test" +lint = "quick-lint-js" + +[paths] +base = "./frontend" # base directory to operate in (for monorepos) +src = "./src" # source directory (under the base directory) from which context will be retrieved + +[gptengineer-app] # this namespace is used for gptengineer.app, may be used for internal experiments +project_id = "..." + +# we support multiple OpenAPI schemas, used as context for the LLM +openapi = [ + { url = "https://api.gptengineer.app/openapi.json" }, + { url = "https://some-color-translating-api/openapi.json" }, +] +""" + + +@dataclass +class _PathsConfig: + base: str | None = None + src: str | None = None + + +@dataclass +class _RunConfig: + build: str | None = None + test: str | None = None + lint: str | None = None + format: str | None = None + + +@dataclass +class _OpenApiConfig: + url: str + + +@dataclass +class _GptEngineerAppConfig: + project_id: str + openapi: list[_OpenApiConfig] | None = None + + +def filter_none(d: dict) -> dict: + # Drop None values and empty dictionaries from a dictionary + return { + k: v + for k, v in ( + (k, filter_none(v) if isinstance(v, dict) else v) + for k, v in d.items() + if v is not None + ) + if not (isinstance(v, dict) and not v) # Check for non-empty after filtering + } + + +@dataclass +class Config: + """Configuration for the GPT Engineer CLI and gptengineer.app via `gpt-engineer.toml`.""" + + paths: _PathsConfig = field(default_factory=_PathsConfig) + run: _RunConfig = field(default_factory=_RunConfig) + gptengineer_app: _GptEngineerAppConfig | None = None + + @classmethod + def from_toml(cls, config_file: Path | str): + if isinstance(config_file, str): + config_file = Path(config_file) + config_dict = read_config(config_file) + return cls.from_dict(config_dict) + + @classmethod + def from_dict(cls, config_dict: dict): + run = _RunConfig(**config_dict.get("run", {})) + paths = _PathsConfig(**config_dict.get("paths", {})) + + # load optional gptengineer-app section + gptengineer_app_dict = config_dict.get("gptengineer-app", {}) + gptengineer_app = None + if gptengineer_app_dict: + assert ( + "project_id" in gptengineer_app_dict + ), "project_id is required in gptengineer-app section" + gptengineer_app = _GptEngineerAppConfig( + # required if gptengineer-app section is present + project_id=gptengineer_app_dict["project_id"], + openapi=[ + _OpenApiConfig(**openapi) + for openapi in gptengineer_app_dict.get("openapi", []) + ] + or None, + ) + + return cls(paths=paths, run=run, gptengineer_app=gptengineer_app) + + def to_dict(self) -> dict: + d = asdict(self) + d["gptengineer-app"] = d.pop("gptengineer_app", None) + + # Drop None values and empty dictionaries + # Needed because tomlkit.dumps() doesn't handle None values, + # and we don't want to write empty sections. + d = filter_none(d) + + return d + + def to_toml(self, config_file: Path | str, save=True) -> str: + """Write the configuration to a TOML file.""" + if isinstance(config_file, str): + config_file = Path(config_file) + + # Load the TOMLDocument and overwrite it with the new values + config = read_config(config_file) + default_config = Config().to_dict() + for k, v in self.to_dict().items(): + # only write values that are already explicitly set, or that differ from defaults + if k in config or v != default_config[k]: + if isinstance(v, dict): + config[k] = { + k2: v2 + for k2, v2 in v.items() + if ( + k2 in config[k] + or default_config.get(k) is None + or v2 != default_config[k].get(k2) + ) + } + else: + config[k] = v + + toml_str = tomlkit.dumps(config) + if save: + with open(config_file, "w") as f: + f.write(toml_str) + + return toml_str + + +def read_config(config_file: Path) -> tomlkit.TOMLDocument: + """Read the configuration file""" + assert config_file.exists(), f"Config file {config_file} does not exist" + with open(config_file, "r") as f: + return tomlkit.load(f) diff --git a/backend/Agents/gpt_engineer/core/prompt.py b/backend/Agents/gpt_engineer/core/prompt.py new file mode 100644 index 000000000..4d8286343 --- /dev/null +++ b/backend/Agents/gpt_engineer/core/prompt.py @@ -0,0 +1,44 @@ +import json + +from typing import Dict, Optional + + +class Prompt: + def __init__( + self, + text: str, + image_urls: Optional[Dict[str, str]] = None, + entrypoint_prompt: str = "", + ): + self.text = text + self.image_urls = image_urls + self.entrypoint_prompt = entrypoint_prompt + + def __repr__(self): + return f"Prompt(text={self.text!r}, image_urls={self.image_urls!r})" + + def to_langchain_content(self): + content = [{"type": "text", "text": f"Request: {self.text}"}] + + if self.image_urls: + for name, url in self.image_urls.items(): + image_content = { + "type": "image_url", + "image_url": { + "url": url, + "detail": "low", + }, + } + content.append(image_content) + + return content + + def to_dict(self): + return { + "text": self.text, + "image_urls": self.image_urls, + "entrypoint_prompt": self.entrypoint_prompt, + } + + def to_json(self): + return json.dumps(self.to_dict()) diff --git a/backend/Agents/gpt_engineer/core/token_usage.py b/backend/Agents/gpt_engineer/core/token_usage.py new file mode 100644 index 000000000..7adc80452 --- /dev/null +++ b/backend/Agents/gpt_engineer/core/token_usage.py @@ -0,0 +1,301 @@ +import base64 +import io +import logging +import math + +from dataclasses import dataclass +from typing import List, Union + +import tiktoken +from typing import Optional +from langchain.schema import AIMessage, HumanMessage, SystemMessage +from PIL import Image + +# workaround for function moved in: +# https://github.com/langchain-ai/langchain/blob/535db72607c4ae308566ede4af65295967bb33a8/libs/community/langchain_community/callbacks/openai_info.py +try: + from langchain.callbacks.openai_info import ( + get_openai_token_cost_for_model, # fmt: skip + ) +except ImportError: + from langchain_community.callbacks.openai_info import ( + get_openai_token_cost_for_model, # fmt: skip + ) + + +Message = Union[AIMessage, HumanMessage, SystemMessage] + +logger = logging.getLogger(__name__) + + +@dataclass +class TokenUsage: + """ + Dataclass representing token usage statistics for a conversation step. + + Attributes + ---------- + step_name : str + The name of the conversation step. + in_step_prompt_tokens : int + The number of prompt tokens used in the step. + in_step_completion_tokens : int + The number of completion tokens used in the step. + in_step_total_tokens : int + The total number of tokens used in the step. + total_prompt_tokens : int + The cumulative number of prompt tokens used up to this step. + total_completion_tokens : int + The cumulative number of completion tokens used up to this step. + total_tokens : int + The cumulative total number of tokens used up to this step. + """ + + """ + Represents token usage statistics for a conversation step. + """ + + step_name: str + in_step_prompt_tokens: int + in_step_completion_tokens: int + in_step_total_tokens: int + total_prompt_tokens: int + total_completion_tokens: int + total_tokens: int + + +class Tokenizer: + """ + Tokenizer for counting tokens in text. + """ + + def __init__(self, model_name): + self.model_name = model_name + # tenta mapear o modelo, mas cai para cl100k_base se não reconhecido + try: + if "gpt-4" in model_name or "gpt-3.5" in model_name: + self._tiktoken_tokenizer = tiktoken.encoding_for_model(model_name) + else: + self._tiktoken_tokenizer = tiktoken.get_encoding("cl100k_base") + except KeyError: + # fallback genérico + self._tiktoken_tokenizer = tiktoken.get_encoding("cl100k_base") + + def num_tokens(self, txt: str) -> int: + """ + Get the number of tokens in a text. + + Parameters + ---------- + txt : str + The text to count the tokens in. + + Returns + ------- + int + The number of tokens in the text. + """ + return len(self._tiktoken_tokenizer.encode(txt)) + + def num_tokens_for_base64_image( + self, image_base64: str, detail: str = "high" + ) -> int: + """ + Calculate the token size for a base64 encoded image based on OpenAI's token calculation rules. + + Parameters: + - image_base64 (str): The base64 encoded string of the image. + - detail (str): The detail level of the image, 'low' or 'high'. + + Returns: + - int: The token size of the image. + """ + + if detail == "low": + return 85 # Fixed cost for low detail images + + # Decode image from base64 + image_data = base64.b64decode(image_base64) + + # Convert byte data to image for size extraction + image = Image.open(io.BytesIO(image_data)) + + # Calculate the initial scale to fit within 2048 square while maintaining aspect ratio + max_dimension = max(image.size) + scale_factor = min(2048 / max_dimension, 1) # Ensure we don't scale up + new_width = int(image.size[0] * scale_factor) + new_height = int(image.size[1] * scale_factor) + + # Scale such that the shortest side is 768px + shortest_side = min(new_width, new_height) + if shortest_side > 768: + resize_factor = 768 / shortest_side + new_width = int(new_width * resize_factor) + new_height = int(new_height * resize_factor) + + # Calculate the number of 512px tiles needed + width_tiles = math.ceil(new_width / 512) + height_tiles = math.ceil(new_height / 512) + total_tiles = width_tiles * height_tiles + + # Each tile costs 170 tokens, plus a base cost of 85 tokens for high detail + token_cost = total_tiles * 170 + 85 + + return token_cost + + def num_tokens_from_messages(self, messages: List[Message]) -> int: + """ + Get the total number of tokens used by a list of messages, accounting for text and base64 encoded images. + + Parameters + ---------- + messages : List[Message] + The list of messages to count the tokens in. + + Returns + ------- + int + The total number of tokens used by the messages. + """ + n_tokens = 0 + for message in messages: + n_tokens += 4 # Account for message framing tokens + + if isinstance(message.content, str): + # Content is a simple string + n_tokens += self.num_tokens(message.content) + elif isinstance(message.content, list): + # Content is a list, potentially mixed with text and images + for item in message.content: + if item.get("type") == "text": + n_tokens += self.num_tokens(item["text"]) + elif item.get("type") == "image_url": + image_detail = item["image_url"].get("detail", "high") + image_base64 = item["image_url"].get("url") + n_tokens += self.num_tokens_for_base64_image( + image_base64, detail=image_detail + ) + + n_tokens += 2 # Account for assistant's reply framing tokens + + return n_tokens + + +class TokenUsageLog: + """ + Represents a log of token usage statistics for a conversation. + """ + + def __init__(self, model_name): + self.model_name = model_name + self._cumulative_prompt_tokens = 0 + self._cumulative_completion_tokens = 0 + self._cumulative_total_tokens = 0 + self._log = [] + self._tokenizer = Tokenizer(model_name) + + def update_log(self, messages: List[Message], answer: str, step_name: str) -> None: + """ + Update the token usage log with the number of tokens used in the current step. + + Parameters + ---------- + messages : List[Message] + The list of messages in the conversation. + answer : str + The answer from the AI. + step_name : str + The name of the step. + """ + prompt_tokens = self._tokenizer.num_tokens_from_messages(messages) + completion_tokens = self._tokenizer.num_tokens(answer) + total_tokens = prompt_tokens + completion_tokens + + self._cumulative_prompt_tokens += prompt_tokens + self._cumulative_completion_tokens += completion_tokens + self._cumulative_total_tokens += total_tokens + + self._log.append( + TokenUsage( + step_name=step_name, + in_step_prompt_tokens=prompt_tokens, + in_step_completion_tokens=completion_tokens, + in_step_total_tokens=total_tokens, + total_prompt_tokens=self._cumulative_prompt_tokens, + total_completion_tokens=self._cumulative_completion_tokens, + total_tokens=self._cumulative_total_tokens, + ) + ) + + def log(self) -> List[TokenUsage]: + """ + Get the token usage log. + + Returns + ------- + List[TokenUsage] + A log of token usage details per step in the conversation. + """ + return self._log + + def format_log(self) -> str: + """ + Format the token usage log as a CSV string. + + Returns + ------- + str + The token usage log formatted as a CSV string. + """ + result = "step_name,prompt_tokens_in_step,completion_tokens_in_step,total_tokens_in_step,total_prompt_tokens,total_completion_tokens,total_tokens\n" + for log in self._log: + result += f"{log.step_name},{log.in_step_prompt_tokens},{log.in_step_completion_tokens},{log.in_step_total_tokens},{log.total_prompt_tokens},{log.total_completion_tokens},{log.total_tokens}\n" + return result + + def is_openai_model(self) -> bool: + """ + Check if the model is an OpenAI model. + + Returns + ------- + bool + True if the model is an OpenAI model, False otherwise. + """ + return "gpt" in self.model_name.lower() + + def total_tokens(self) -> int: + """ + Return the total number of tokens used in the conversation. + + Returns + ------- + int + The total number of tokens used in the conversation. + """ + return self._cumulative_total_tokens + + def usage_cost(self) -> Optional[float]: + """ + Return the total cost in USD of the API usage. + + Returns + ------- + float + Cost in USD. + """ + if not self.is_openai_model(): + return None + + try: + result = 0 + for log in self.log(): + result += get_openai_token_cost_for_model( + self.model_name, log.total_prompt_tokens, is_completion=False + ) + result += get_openai_token_cost_for_model( + self.model_name, log.total_completion_tokens, is_completion=True + ) + return result + except Exception as e: + print(f"Error calculating usage cost: {e}") + return None diff --git a/backend/Agents/gpt_engineer/core/version_manager.py b/backend/Agents/gpt_engineer/core/version_manager.py new file mode 100644 index 000000000..02ffe9920 --- /dev/null +++ b/backend/Agents/gpt_engineer/core/version_manager.py @@ -0,0 +1,30 @@ +""" +Version Manager Module + +This module provides an abstract base class for a version manager that handles the creation of snapshots +for code. Implementations of this class are expected to provide methods to create a snapshot of the given +code and return a reference to it. +""" +from abc import ABC, abstractmethod +from pathlib import Path +from typing import Union + +from Agents.gpt_engineer.core.files_dict import FilesDict + + +class BaseVersionManager(ABC): + """ + Abstract base class for a version manager. + + Defines the interface for version managers that handle the creation of snapshots for code. + Implementations of this class are expected to provide methods to create a snapshot of the given + code and return a reference to it. + """ + + @abstractmethod + def __init__(self, path: Union[str, Path]): + pass + + @abstractmethod + def snapshot(self, files_dict: FilesDict) -> str: + pass diff --git a/backend/Agents/gpt_engineer/preprompts/clarify b/backend/Agents/gpt_engineer/preprompts/clarify new file mode 100644 index 000000000..5fae0da39 --- /dev/null +++ b/backend/Agents/gpt_engineer/preprompts/clarify @@ -0,0 +1,3 @@ +Given some instructions, determine if anything needs to be clarified, do not carry them out. +You can make reasonable assumptions, but if you are unsure, ask a single clarification question. +Otherwise state: "Nothing to clarify" diff --git a/backend/Agents/gpt_engineer/preprompts/entrypoint b/backend/Agents/gpt_engineer/preprompts/entrypoint new file mode 100644 index 000000000..455aeb6e0 --- /dev/null +++ b/backend/Agents/gpt_engineer/preprompts/entrypoint @@ -0,0 +1,9 @@ +You will receive information about a React + Vite codebase located in the current folder on disk. +When asked, provide a series of terminal commands to set up and run the project. + +* ALWAYS use React with Vite as the framework and build tool +* NEVER use raw HTML, CSS, and JavaScript files +* NEVER install dependencies globally +* NEVER use `sudo` in any commands +* Use example values (for instance, `.` for the target folder) instead of placeholders +* Provide only the necessary shell commands in code blocks; do not include explanations or comments diff --git a/backend/Agents/gpt_engineer/preprompts/file_format b/backend/Agents/gpt_engineer/preprompts/file_format new file mode 100644 index 000000000..ca0c3dbf6 --- /dev/null +++ b/backend/Agents/gpt_engineer/preprompts/file_format @@ -0,0 +1,67 @@ +You will output the content of each file necessary to achieve the goal, including **ALL** code. +Represent files like so: + +`FILENAME` +``` +CODE +``` + +The following tokens must be replaced like so: + +FILENAME is the lowercase combined path and file name including the file extension +CODE is the code in the file + +Example representation of a file: + +`src/components/features.tsx` +``` +import React from 'react'; + +const featuresData = [ + { title: 'CodeDocumentation', description: 'Generate clear, comprehensive documentation for your code bases. JSDoc, README files, and API docs.' }, + { title: 'CodeFrontEnd', description: 'Assistance with UI/UX development, component design, responsive layouts and frontend optimizations.' }, + { title: 'CodePreProject', description: 'Help with project setup, architecture decisions, tech stack selection, and boilerplates.' }, + { title: 'CodeRefactoring', description: 'Transform messy code into clean, maintainable solutions following best practices.' }, + { title: 'CodeReview', description: 'Thorough code reviews identifying bugs, security issues, and performance bottlenecks.' }, + { title: 'CodeUnittests', description: 'Generate comprehensive test suites to ensure your code works as expected.' }, + { title: 'Decisions', description: 'Weigh pros and cons of technology choices and architectural decisions.' }, + { title: 'ProjectRequirements', description: 'Help define project scope, user stories, and acceptance criteria.' }, + { title: 'ProjectSchedule', description: 'Estimate timelines and create project roadmaps with realistic milestones.' }, +]; + +const Features: React.FC = () => ( +
    +
    +
    +

    Specialized AI Agents

    +

    + Each agent is trained specifically for its domain to deliver expert-level assistance +

    +
    +
    + {featuresData.map((feature) => ( +
    +

    {feature.title}

    +

    {feature.description}

    +
    + ))} +
    +
    +
    +); + +export default Features; +``` + + +Only the above representation file is accepted; do not add or invent any other representation file. +Any other representation file are unacceptable; use only +`FILENAME` +``` +**CODE** +``` + +All content must be written in English, even if the request comes in other languages. + +Do not comment on what every file does. Please note that the code should be fully functional. No placeholders. + diff --git a/backend/Agents/gpt_engineer/preprompts/file_format_diff b/backend/Agents/gpt_engineer/preprompts/file_format_diff new file mode 100644 index 000000000..486e76a2e --- /dev/null +++ b/backend/Agents/gpt_engineer/preprompts/file_format_diff @@ -0,0 +1,41 @@ +You will output the content of each file necessary to achieve the goal, including ALL code. +Output requested code changes and new code in the unified "git diff" syntax. Example: + +```diff +--- example.txt ++++ example.txt +@@ -6,3 +6,4 @@ + line content A + line content B ++ new line added +- original line X ++ modified line X with changes +@@ -26,4 +27,5 @@ + condition check: +- action for condition A ++ if certain condition is met: ++ alternative action for condition A + another condition check: +- action for condition B ++ modified action for condition B +``` + +Example of a git diff creating a new file: + +```diff +--- /dev/null ++++ new_file.txt +@@ -0,0 +1,3 @@ ++First example line ++ ++Last example line +``` + +RULES: +-A program will apply the diffs you generate exactly to the code, so diffs must be precise and unambiguous! +-Every diff must be fenced with triple backtick ```. +-The file names at the beginning of a diff, (lines starting with --- and +++) is the relative path to the file before and after the diff. +-LINES TO BE REMOVED (starting with single -) AND LINES TO BE RETAIN (no starting symbol) HAVE TO REPLICATE THE DIFFED HUNK OF THE CODE EXACTLY LINE BY LINE. KEEP THE NUMBER OF RETAIN LINES SMALL IF POSSIBLE. +-EACH LINE IN THE SOURCE FILES STARTS WITH A LINE NUMBER, WHICH IS NOT PART OF THE SOURCE CODE. NEVER TRANSFER THESE LINE NUMBERS TO THE DIFF HUNKS. +-AVOID STARTING A HUNK WITH AN EMPTY LINE. +-ENSURE ALL CHANGES ARE PROVIDED IN A SINGLE DIFF CHUNK PER FILE TO PREVENT MULTIPLE DIFFS ON THE SAME FILE. diff --git a/backend/Agents/gpt_engineer/preprompts/file_format_fix b/backend/Agents/gpt_engineer/preprompts/file_format_fix new file mode 100644 index 000000000..69dade918 --- /dev/null +++ b/backend/Agents/gpt_engineer/preprompts/file_format_fix @@ -0,0 +1,22 @@ +Please fix any errors in the code above. + +You will output the content of each new or changed. +Represent files like so: + +FILENAME +``` +CODE +``` + +The following tokens must be replaced like so: +FILENAME is the lowercase combined path and file name including the file extension +CODE is the code in the file + +Example representation of a file: + +src/hello_world.py +``` +print("Hello World") +``` + +Do not comment on what every file does. Please note that the code should be fully functional. No placeholders. diff --git a/backend/Agents/gpt_engineer/preprompts/generate b/backend/Agents/gpt_engineer/preprompts/generate new file mode 100644 index 000000000..5683397ca --- /dev/null +++ b/backend/Agents/gpt_engineer/preprompts/generate @@ -0,0 +1,99 @@ + +Think step by step and reason to the correct decisions to ensure a fully working implementation. + + +1. First, list the names of the core React components, utility functions, and hooks that will be necessary, accompanied by a brief comment on each one’s purpose. +2. Follow the UI/UX Excellence Guidelines: + - Implement consistent design system (colors, typography, spacing) + - Add hover/focus/active states to all interactive elements + - Include loading states with skeleton screens + - Create delightful empty states + - Ensure WCAG 2.1 AA accessibility compliance + - Use realistic mock data from data/mock/ directory + - Implement responsive design (mobile-first) + - Add smooth transitions and microinteractions + +3. Follow file format guidelines: + You will output the content of each file necessary to achieve the goal, including **ALL** code. + Represent files like so: + + `FILENAME` + ``` + CODE + ``` + + The following tokens must be replaced like so: + + FILENAME is the lowercase combined path and file name including the file extension + CODE is the code in the file + + Example representation of a file: + + `src/components/features.tsx` + ``` + import React from 'react'; + + const featuresData = [ + { title: 'CodeDocumentation', description: 'Generate clear, comprehensive documentation for your code bases. JSDoc, README files, and API docs.' }, + { title: 'CodeFrontEnd', description: 'Assistance with UI/UX development, component design, responsive layouts and frontend optimizations.' }, + { title: 'CodePreProject', description: 'Help with project setup, architecture decisions, tech stack selection, and boilerplates.' }, + { title: 'CodeRefactoring', description: 'Transform messy code into clean, maintainable solutions following best practices.' }, + { title: 'CodeReview', description: 'Thorough code reviews identifying bugs, security issues, and performance bottlenecks.' }, + { title: 'CodeUnittests', description: 'Generate comprehensive test suites to ensure your code works as expected.' }, + { title: 'Decisions', description: 'Weigh pros and cons of technology choices and architectural decisions.' }, + { title: 'ProjectRequirements', description: 'Help define project scope, user stories, and acceptance criteria.' }, + { title: 'ProjectSchedule', description: 'Estimate timelines and create project roadmaps with realistic milestones.' }, + ]; + + const Features: React.FC = () => ( +
    +
    +
    +

    Specialized AI Agents

    +

    + Each agent is trained specifically for its domain to deliver expert-level assistance +

    +
    +
    + {featuresData.map((feature) => ( +
    +

    {feature.title}

    +

    {feature.description}

    +
    + ))} +
    +
    +
    + ); + + export default Features; + ``` + + + Only the above representation file is accepted; do not add or invent any other representation file. + Any other representation file are unacceptable; use only + `FILENAME` + ``` + **CODE** + ``` + + All content must be written in English, even if the request comes in other languages. + + Do not comment on what every file does. Please note that the code should be fully functional. No placeholders. + + + + +4. The file creation order must start with the entry point `src/main.jsx` `index.css` `App.jsx` `App.css`, then proceed to any modules it imports, and so on through the dependency graph. +5. Follow React and Vite best practices for file and folder naming conventions. +6. Include all necessary imports, TypeScript types (if using TS), and ensure compatibility across files. +7. If uncertain about specifics, implement a plausible version that clearly demonstrates the feature. +8. Provide a `package.json` and a `vite.config.js` (or `vite.config.ts`) with all required dependencies and scripts. +9. Provide an `eslint.config.js` and `index.html` and `README.md` as per the project +10. Before concluding, verify that all parts of the architecture (components, utilities, configuration) are present and linked correctly. + + + +When everything is complete, end your response with: + +This concludes a fully working implementation. diff --git a/backend/Agents/gpt_engineer/preprompts/improve b/backend/Agents/gpt_engineer/preprompts/improve new file mode 100644 index 000000000..a8f5f0825 --- /dev/null +++ b/backend/Agents/gpt_engineer/preprompts/improve @@ -0,0 +1,17 @@ +Think step by step and reason yourself to the correct decisions to make sure we get it right. +Make changes to existing code and implement new code in the unified git diff syntax. When implementing new code, First lay out the names of the core classes, functions, methods that will be necessary, As well as a quick comment on their purpose. + +FILE_FORMAT + +As far as compatible with the user request, start with the "entrypoint" file, then go to the ones that are imported by that file, and so on. +Please note that the code should be fully functional. No placeholders. + +Follow a language and framework appropriate best practice file naming convention. +Make sure that files contain all imports, types etc. The code should be fully functional. Make sure that code in different files are compatible with each other. +Ensure to implement all code, if you are unsure, write a plausible implementation. +Include module dependency or package manager dependency definition file. +Before you finish, double check that all parts of the architecture is present in the files. + +When you are done, write finish with: + +"this concludes a fully working implementation". diff --git a/backend/Agents/gpt_engineer/preprompts/philosophy b/backend/Agents/gpt_engineer/preprompts/philosophy new file mode 100644 index 000000000..74231021c --- /dev/null +++ b/backend/Agents/gpt_engineer/preprompts/philosophy @@ -0,0 +1,12 @@ +Almost always put different classes in different files. +Always use the programming language the user asks for. +For Python, you always create an appropriate requirements.txt file. +For NodeJS, you always create an appropriate package.json file. +Always add a comment briefly describing the purpose of the function definition. +Add comments explaining very complex bits of logic. +Always follow the best practices for the requested languages for folder/file structure and how to package the project. + + +Python toolbelt preferences: +- pytest +- dataclasses diff --git a/backend/Agents/gpt_engineer/preprompts/roadmap b/backend/Agents/gpt_engineer/preprompts/roadmap new file mode 100644 index 000000000..177bfdb5a --- /dev/null +++ b/backend/Agents/gpt_engineer/preprompts/roadmap @@ -0,0 +1,2 @@ +You will get instructions for code to write. +You will write a very long answer. Make sure that every detail of the architecture is, in the end, implemented as code. diff --git a/backend/Agents/gpt_engineer/teste_ai_strutured_output.py b/backend/Agents/gpt_engineer/teste_ai_strutured_output.py new file mode 100644 index 000000000..415516dfd --- /dev/null +++ b/backend/Agents/gpt_engineer/teste_ai_strutured_output.py @@ -0,0 +1,79 @@ +import os +from dotenv import load_dotenv +from langchain_openai import ChatOpenAI +from pydantic import BaseModel, Field + +os.chdir(os.path.join(os.path.dirname(__file__))) +load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), 'keys.env')) + +# Defina o schema Pydantic para o diff +class DiffOutput(BaseModel): + filename: str + diff: str + +# Cria o LLM +llm = ChatOpenAI( + model="gpt-5-nano", + temperature=0, + api_key=os.getenv("OPENAI_API_KEY") +) + +# Bind do LLM a um parser Pydantic +structured_llm = llm.with_structured_output(DiffOutput) + +# Prompt +prompt = """Crie um diff que adicione a função hello_world() em main.py + + + + +You will output the content of each file necessary to achieve the goal, including ALL code. +Output requested code changes and new code in the unified "git diff" syntax. Example: + +```diff +--- example.txt ++++ example.txt +@@ -6,3 +6,4 @@ + line content A + line content B ++ new line added +- original line X ++ modified line X with changes +@@ -26,4 +27,5 @@ + condition check: +- action for condition A ++ if certain condition is met: ++ alternative action for condition A + another condition check: +- action for condition B ++ modified action for condition B +``` + +Example of a git diff creating a new file: + +```diff +--- /dev/null ++++ new_file.txt +@@ -0,0 +1,3 @@ ++First example line ++ ++Last example line +``` + +RULES: +-A program will apply the diffs you generate exactly to the code, so diffs must be precise and unambiguous! +-Every diff must be fenced with triple backtick ```. +-The file names at the beginning of a diff, (lines starting with --- and +++) is the relative path to the file before and after the diff. +-LINES TO BE REMOVED (starting with single -) AND LINES TO BE RETAIN (no starting symbol) HAVE TO REPLICATE THE DIFFED HUNK OF THE CODE EXACTLY LINE BY LINE. KEEP THE NUMBER OF RETAIN LINES SMALL IF POSSIBLE. +-EACH LINE IN THE SOURCE FILES STARTS WITH A LINE NUMBER, WHICH IS NOT PART OF THE SOURCE CODE. NEVER TRANSFER THESE LINE NUMBERS TO THE DIFF HUNKS. +-AVOID STARTING A HUNK WITH AN EMPTY LINE. +-ENSURE ALL CHANGES ARE PROVIDED IN A SINGLE DIFF CHUNK PER FILE TO PREVENT MULTIPLE DIFFS ON THE SAME FILE. + +""" + +# Chamada +result = structured_llm.invoke(prompt) + +# O resultado já vem como objeto DiffOutput +print(result.filename) +print(result.diff) diff --git a/backend/Agents/gpt_engineer/teste_ai_tools.py b/backend/Agents/gpt_engineer/teste_ai_tools.py new file mode 100644 index 000000000..268ad3747 --- /dev/null +++ b/backend/Agents/gpt_engineer/teste_ai_tools.py @@ -0,0 +1,58 @@ +# Back-End\Agents\gpt_engineer\teste_ai.py +import os +from dotenv import load_dotenv +from langchain_openai import ChatOpenAI +from pydantic import BaseModel, Field +import os +import logging + + +os.chdir(os.path.join(os.path.dirname(__file__))) +load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), 'keys.env')) + +logger = logging.getLogger(__name__) + +# Tool de teste +class AutosaveTool(BaseModel): + """Tool para salvar código Python em arquivo""" + code: str = Field(..., description="Código Python a ser salvo") + path: str = Field(..., description="Caminho completo do arquivo onde o código será salvo") + +def autosave(data: AutosaveTool) -> dict: + """Função que salva o código, chamada pela tool do LLM""" + try: + os.makedirs(os.path.dirname(data.path), exist_ok=True) + with open(data.path, 'w', encoding='utf-8') as f: + f.write(data.code) + logger.info(f"Arquivo salvo com sucesso: {data.path}") + return {"status": "success", "file_path": data.path} + except Exception as e: + logger.error(f"Erro ao salvar arquivo {data.path}: {e}") + return {"status": "error", "message": str(e)} + +# Instancia LLM +llm = ChatOpenAI( + model="gpt-5-nano", + temperature=0, + max_tokens=None, + max_retries=2, + streaming=False +) + +# Bind da tool +llm_with_tools = llm.bind_tools([AutosaveTool]) + +# Prompt de teste +prompt = "Salve o seguinte código em ./teste.py:\nprint('Oi Mundo!')" + +# Invoca o LLM +ai_msg = llm_with_tools.invoke(prompt) +print("Tool calls retornadas pelo LLM:", ai_msg.tool_calls) + +# Executa as tool calls +for tool_call in getattr(ai_msg, "tool_calls", []): + tool_name = tool_call.get("name") + args = tool_call.get("args", {}) + if tool_name == "AutosaveTool": + result = autosave(AutosaveTool(**args)) + print("Resultado da tool:", result) diff --git a/backend/Agents/gpt_engineer/tools/__init__.py b/backend/Agents/gpt_engineer/tools/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/Agents/gpt_engineer/tools/custom_steps.py b/backend/Agents/gpt_engineer/tools/custom_steps.py new file mode 100644 index 000000000..4ae38b413 --- /dev/null +++ b/backend/Agents/gpt_engineer/tools/custom_steps.py @@ -0,0 +1,233 @@ +from platform import platform +from sys import version_info +from typing import List, Union + +from langchain.schema import AIMessage, HumanMessage, SystemMessage + +from Agents.gpt_engineer.core.ai import AI +from Agents.gpt_engineer.core.base_execution_env import BaseExecutionEnv +from Agents.gpt_engineer.core.base_memory import BaseMemory +from Agents.gpt_engineer.core.chat_to_files import chat_to_files_dict +from Agents.gpt_engineer.core.default.paths import CODE_GEN_LOG_FILE, ENTRYPOINT_FILE +from Agents.gpt_engineer.core.default.steps import curr_fn, improve_fn, setup_sys_prompt +from Agents.gpt_engineer.core.files_dict import FilesDict +from Agents.gpt_engineer.core.preprompts_holder import PrepromptsHolder +from Agents.gpt_engineer.core.prompt import Prompt + +# Type hint for chat messages +Message = Union[AIMessage, HumanMessage, SystemMessage] +MAX_SELF_HEAL_ATTEMPTS = 10 + + +def get_platform_info() -> str: + """ + Returns a string containing the OS and Python version information. + + This function is used for self-healing by providing information about the current + operating system and Python version. It assumes that the Python version in the + virtual environment is the one being used. + + Returns: + str: A string containing the OS and Python version information. + """ + + v = version_info + a = f"Python Version: {v.major}.{v.minor}.{v.micro}" + b = f"\nOS: {platform()}\n" + return a + b + + +def self_heal( + ai: AI, + execution_env: BaseExecutionEnv, + files_dict: FilesDict, + prompt: Prompt = None, + preprompts_holder: PrepromptsHolder = None, + memory: BaseMemory = None, + diff_timeout=3, +) -> FilesDict: + """ + Attempts to execute the code from the entrypoint and if it fails, sends the error output back to the AI with instructions to fix. + + Parameters + ---------- + ai : AI + An instance of the AI model. + execution_env : BaseExecutionEnv + The execution environment where the code is run. + files_dict : FilesDict + A dictionary of file names to their contents. + preprompts_holder : PrepromptsHolder, optional + A holder for preprompt messages. + + Returns + ------- + FilesDict + The updated files dictionary after self-healing attempts. + + Raises + ------ + FileNotFoundError + If the required entrypoint file does not exist in the code. + AssertionError + If the preprompts_holder is None. + + Notes + ----- + This code will make `MAX_SELF_HEAL_ATTEMPTS` to try and fix the code + before giving up. + This makes the assuption that the previous step was `gen_entrypoint`, + this code could work with `simple_gen`, or `gen_clarified_code` as well. + """ + + # step 1. execute the entrypoint + # log_path = dbs.workspace.path / "log.txt" + if ENTRYPOINT_FILE not in files_dict: + raise FileNotFoundError( + "The required entrypoint " + + ENTRYPOINT_FILE + + " does not exist in the code." + ) + + attempts = 0 + if preprompts_holder is None: + raise AssertionError("Prepromptsholder required for self-heal") + while attempts < MAX_SELF_HEAL_ATTEMPTS: + attempts += 1 + timed_out = False + + # Start the process + execution_env.upload(files_dict) + p = execution_env.popen(files_dict[ENTRYPOINT_FILE]) + + # Wait for the process to complete and get output + stdout_full, stderr_full = p.communicate() + + if (p.returncode != 0 and p.returncode != 2) and not timed_out: + print("run.sh failed. The log is:") + print(stdout_full.decode("utf-8")) + print(stderr_full.decode("utf-8")) + + new_prompt = Prompt( + f"A program with this specification was requested:\n{prompt}\n, but running it produced the following output:\n{stdout_full}\n and the following errors:\n{stderr_full}. Please change it so that it fulfills the requirements." + ) + files_dict = improve_fn( + ai, new_prompt, files_dict, memory, preprompts_holder, diff_timeout + ) + else: + break + return files_dict + + +def clarified_gen( + ai: AI, prompt: Prompt, memory: BaseMemory, preprompts_holder: PrepromptsHolder +) -> FilesDict: + """ + Generates code based on clarifications obtained from the user and saves it to a specified workspace. + + Parameters + ---------- + ai : AI + An instance of the AI model, responsible for processing and generating the code. + prompt : str + The user's clarification prompt. + memory : BaseMemory + The memory instance where the generated code log is saved. + preprompts_holder : PrepromptsHolder + A holder for preprompt messages. + + Returns + ------- + FilesDict + A dictionary of file names to their contents generated by the AI. + """ + + preprompts = preprompts_holder.get_preprompts() + messages: List[Message] = [SystemMessage(content=preprompts["clarify"])] + user_input = prompt.text # clarify does not work with vision right now + while True: + messages = ai.next(messages, user_input, step_name=curr_fn()) + msg = messages[-1].content.strip() + + if "nothing to clarify" in msg.lower(): + break + + if msg.lower().startswith("no"): + print("Nothing to clarify.") + break + + print('(answer in text, or "c" to move on)\n') + user_input = input("") + print() + + if not user_input or user_input == "c": + print("(letting gpt-engineer make its own assumptions)") + print() + messages = ai.next( + messages, + "Make your own assumptions and state them explicitly before starting", + step_name=curr_fn(), + ) + print() + + user_input += """ + \n\n + Is anything else unclear? If yes, ask another question.\n + Otherwise state: "Nothing to clarify" + """ + + print() + + messages = [ + SystemMessage(content=setup_sys_prompt(preprompts)), + ] + messages[ + 1: + ] # skip the first clarify message, which was the original clarify priming prompt + messages = ai.next( + messages, + preprompts["generate"].replace("FILE_FORMAT", preprompts["file_format"]), + step_name=curr_fn(), + ) + print() + chat = messages[-1].content.strip() + memory.log(CODE_GEN_LOG_FILE, "\n\n".join(x.pretty_repr() for x in messages)) + files_dict = chat_to_files_dict(chat) + return files_dict + + +def lite_gen( + ai: AI, prompt: Prompt, memory: BaseMemory, preprompts_holder: PrepromptsHolder +) -> FilesDict: + """ + Executes the AI model using the main prompt and saves the generated results to the specified workspace. + + Parameters + ---------- + ai : AI + An instance of the AI model. + prompt : str + The main prompt to feed to the AI model. + memory : BaseMemory + The memory instance where the generated code log is saved. + preprompts_holder : PrepromptsHolder + A holder for preprompt messages. + + Returns + ------- + FilesDict + A dictionary of file names to their contents generated by the AI. + + Notes + ----- + The function assumes the `ai.start` method and the `to_files` utility to be correctly + set up and functional. Ensure these prerequisites before invoking `lite_gen`. + """ + + preprompts = preprompts_holder.get_preprompts() + messages = ai.start( + prompt.to_langchain_content(), preprompts["file_format"], step_name=curr_fn() + ) + chat = messages[-1].content.strip() + memory.log(CODE_GEN_LOG_FILE, "\n\n".join(x.pretty_repr() for x in messages)) + files_dict = chat_to_files_dict(chat) + return files_dict diff --git a/backend/Agents/gpt_engineer/tools/supported_languages.py b/backend/Agents/gpt_engineer/tools/supported_languages.py new file mode 100644 index 000000000..7644540ca --- /dev/null +++ b/backend/Agents/gpt_engineer/tools/supported_languages.py @@ -0,0 +1,58 @@ +""" +This module defines the supported programming languages for document chunking. + +Variables: + SUPPORTED_LANGUAGES (list): A list of dictionaries defining supported languages. +""" + +SUPPORTED_LANGUAGES = [ + {"name": "Python", "extensions": [".py"], "tree_sitter_name": "python"}, + { + "name": "JavaScript", + "extensions": [".js", ".mjs"], + "tree_sitter_name": "javascript", + }, + {"name": "HTML", "extensions": [".html", ".htm"], "tree_sitter_name": "html"}, + {"name": "CSS", "extensions": [".css"], "tree_sitter_name": "css"}, + {"name": "Java", "extensions": [".java"], "tree_sitter_name": "java"}, + {"name": "C#", "extensions": [".cs"], "tree_sitter_name": "c_sharp"}, + { + "name": "TypeScript", + "extensions": [".ts", ".tsx"], + "tree_sitter_name": "typescript", + }, + {"name": "Ruby", "extensions": [".rb", ".erb"], "tree_sitter_name": "ruby"}, + { + "name": "PHP", + "extensions": [ + ".php", + ".phtml", + ".php3", + ".php4", + ".php5", + ".php7", + ".phps", + ".php-s", + ".pht", + ".phar", + ], + "tree_sitter_name": "php", + }, + {"name": "Go", "extensions": [".go"], "tree_sitter_name": "go"}, + {"name": "Kotlin", "extensions": [".kt", ".kts"], "tree_sitter_name": "kotlin"}, + {"name": "Rust", "extensions": [".rs"], "tree_sitter_name": "rust"}, + { + "name": "C++", + "extensions": [".cpp", ".cc", ".cxx", ".h", ".hpp", ".hxx"], + "tree_sitter_name": "cpp", + }, + {"name": "C", "extensions": [".c", ".h"], "tree_sitter_name": "c"}, + {"name": "Markdown", "extensions": [".md"], "tree_sitter_name": "md"}, + {"name": "Arduino C", "extensions": [".ino"], "tree_sitter_name": "ino"} + # ---- the following are not supported by the current code chunker implementation ---- + # { + # "name": "Swift", + # "extensions": [".swift"], + # "tree_sitter_name": "swift" + # }, +] diff --git a/backend/Dockerfile b/backend/Dockerfile new file mode 100644 index 000000000..1045f2848 --- /dev/null +++ b/backend/Dockerfile @@ -0,0 +1,25 @@ +FROM python:3.11-slim + +RUN apt-get update && apt-get install -y --no-install-recommends \ + ca-certificates \ + curl \ + jq \ + libffi-dev \ + build-essential \ + gcc \ + g++ \ + linux-headers-amd64 \ + libssl-dev \ + && rm -rf /var/lib/apt/lists/* + +RUN apt-get update && apt-get install -y \ + ca-certificates \ + curl \ + gnupg + +WORKDIR /app + +COPY requirements.txt /app/ +RUN pip install --no-cache-dir --upgrade pip +RUN pip install --no-cache-dir -r requirements.txt +COPY . /app diff --git a/Back-End/EmailTemplates/FalhaDeProjeto.html b/backend/EmailTemplates/FalhaDeProjeto.html similarity index 100% rename from Back-End/EmailTemplates/FalhaDeProjeto.html rename to backend/EmailTemplates/FalhaDeProjeto.html diff --git a/Back-End/EmailTemplates/SucessoDeProjeto.html b/backend/EmailTemplates/SucessoDeProjeto.html similarity index 100% rename from Back-End/EmailTemplates/SucessoDeProjeto.html rename to backend/EmailTemplates/SucessoDeProjeto.html diff --git a/Back-End/EmailTemplates/email_account_success.html b/backend/EmailTemplates/email_account_success.html similarity index 100% rename from Back-End/EmailTemplates/email_account_success.html rename to backend/EmailTemplates/email_account_success.html diff --git a/Back-End/EmailTemplates/email_plan_upgraded.html b/backend/EmailTemplates/email_plan_upgraded.html similarity index 100% rename from Back-End/EmailTemplates/email_plan_upgraded.html rename to backend/EmailTemplates/email_plan_upgraded.html diff --git a/Back-End/EmailTemplates/email_tiktok_fail.html b/backend/EmailTemplates/email_tiktok_fail.html similarity index 100% rename from Back-End/EmailTemplates/email_tiktok_fail.html rename to backend/EmailTemplates/email_tiktok_fail.html diff --git a/Back-End/EmailTemplates/email_youtube_fail.html b/backend/EmailTemplates/email_youtube_fail.html similarity index 100% rename from Back-End/EmailTemplates/email_youtube_fail.html rename to backend/EmailTemplates/email_youtube_fail.html diff --git a/Back-End/EmailTemplates/server_limit.html b/backend/EmailTemplates/server_limit.html similarity index 100% rename from Back-End/EmailTemplates/server_limit.html rename to backend/EmailTemplates/server_limit.html diff --git a/Back-End/EmailTemplates/teste.html b/backend/EmailTemplates/teste.html similarity index 100% rename from Back-End/EmailTemplates/teste.html rename to backend/EmailTemplates/teste.html diff --git a/backend/Functions/autogetcurrenttime/autogetcurrenttime.py b/backend/Functions/autogetcurrenttime/autogetcurrenttime.py new file mode 100644 index 000000000..6c6ca2c8b --- /dev/null +++ b/backend/Functions/autogetcurrenttime/autogetcurrenttime.py @@ -0,0 +1,66 @@ +from typing_extensions import TypedDict, Any +from agents import Agent, ModelSettings, function_tool, FileSearchTool, WebSearchTool, Runner +from datetime import datetime +import pytz + +class GetTimeOptions(TypedDict, total=False): + timezone: str # Ex: "America/Sao_Paulo", "UTC", etc. + format: str # Ex: "%Y-%m-%d %H:%M:%S" ou "iso" + +@function_tool +def autogetcurrenttime(options: GetTimeOptions = None) -> dict[str, Any]: + """ + Retorna o horário atual com base no timezone e formato especificados. + + Parameters + ---------- + options : dict (opcional) + { + "timezone": "America/Sao_Paulo", # timezone válido do pytz + "format": "%Y-%m-%d %H:%M:%S" # ou "iso" para formato ISO 8601 + } + + Returns + ------- + dict: + { + "status": "success", + "datetime": "2025-10-07 12:34:56", + "timezone": "America/Sao_Paulo" + } + """ + try: + # Valores padrão + if options is None: + options = {} + + tz_name = options.get("timezone", "America/Sao_Paulo") + fmt = options.get("format", "%Y-%m-%d %H:%M:%S") + + # Configurar timezone + try: + tz = pytz.timezone(tz_name) + except Exception: + tz = pytz.timezone("UTC") + tz_name = "UTC" + + now = datetime.now(tz) + + # Formatar saída + if fmt.lower() == "iso": + now_str = now.isoformat() + else: + now_str = now.strftime(fmt) + + return { + "status": "success", + "datetime": now_str, + "timezone": tz_name + } + + except Exception as e: + print(f"💥 Erro em autogetcurrenttime: {e}") + return { + "status": "error", + "error": str(e) + } diff --git a/backend/Functions/autolistlocalproject/autolistlocalproject.py b/backend/Functions/autolistlocalproject/autolistlocalproject.py new file mode 100644 index 000000000..a78f7602d --- /dev/null +++ b/backend/Functions/autolistlocalproject/autolistlocalproject.py @@ -0,0 +1,47 @@ +import os +from typing_extensions import TypedDict, Any , Union +from agents import Agent, ModelSettings, function_tool, FileSearchTool, WebSearchTool, Runner + + +def listar_arquivos(pasta, ignorar_ocultos=True): + caminhos_arquivos = [] + for root, dirs, files in os.walk(pasta): + if ignorar_ocultos: + # Ignora diretórios ocultos + dirs[:] = [d for d in dirs if not d.startswith('.')] + files = [f for f in files if not f.startswith('.')] + for nome_arquivo in files: + caminho_completo = os.path.join(root, nome_arquivo) + caminhos_arquivos.append(caminho_completo) + return caminhos_arquivos + +def ler_conteudos_arquivos(caminhos_arquivos): + conteudos = [] + for caminho in caminhos_arquivos: + try: + with open(caminho, 'r', encoding='utf-8') as arquivo: + conteudo = arquivo.read() + except UnicodeDecodeError: + # Caso o arquivo não seja texto ou não seja UTF-8, ignora ou trata como quiser + conteudo = "[ARQUIVO BINÁRIO OU COM CODIFICAÇÃO DESCONHECIDA]" + conteudos.append(conteudo) + return conteudos + +class FunctionData(TypedDict): + path_project: str + +@function_tool +def autolistlocalproject(data: FunctionData): + try: + data_FINAL = data["data"] + path_project = data_FINAL["path_project"] + except Exception as eroo1: + print(eroo1) + path_project = data["path_project"] + caminhos_arquivos = listar_arquivos(path_project) + conteudos_arquivos = ler_conteudos_arquivos(caminhos_arquivos) + data = { + "paths": caminhos_arquivos, + "contents": conteudos_arquivos, + } + return data \ No newline at end of file diff --git a/backend/Functions/autosave/autosave.py b/backend/Functions/autosave/autosave.py new file mode 100644 index 000000000..675182fdf --- /dev/null +++ b/backend/Functions/autosave/autosave.py @@ -0,0 +1,60 @@ + +from typing_extensions import TypedDict, Any +from agents import Agent, ModelSettings, function_tool, FileSearchTool, WebSearchTool, Runner +import os +class AutosaveData(TypedDict): + code: str + path: str + +@function_tool +def autosave(data: AutosaveData): + """ + Save the provided Python code string to a file. + + Parameters: + ---------- + code (str): The Python code to save. + path (str): The name of the file where the code will be saved. + + Returns: + ------- + None + """ + try: + data_FINAL = data["data"] + code = data_FINAL["code"] + path = data_FINAL["path"] + except Exception as eroo1: + print(eroo1) + code = data["code"] + path = data["path"] + print("autosave Prestes a iniciar") + try: + print(f"autosave {path}") + + os.makedirs(os.path.dirname(path), exist_ok=True) + + with open(path, 'w', encoding="utf-8") as file: + file.write(code) + + data_return = { + "status": "success", + "file_path": path, + } + + + return data_return + + + except Exception as e: + print(e) + with open(path, 'x', encoding="utf-8") as file: + file.write(code) + + data_return = { + "status": "success", + "file_path": path, + } + + + return data_return \ No newline at end of file diff --git a/backend/Functions/retrieve_backend_context/retrieve_backend_context.py b/backend/Functions/retrieve_backend_context/retrieve_backend_context.py new file mode 100644 index 000000000..d8b0874f2 --- /dev/null +++ b/backend/Functions/retrieve_backend_context/retrieve_backend_context.py @@ -0,0 +1,36 @@ +from pydantic import BaseModel +import os +from agents import Agent, Runner, function_tool, SQLiteSession +import openai +import chromadb +from openai import OpenAI +from dotenv import load_dotenv +# load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), "../", "../", "../", 'Keys', 'keys.env')) + +OPENAI_API_KEY = os.getenv("OPENAI_API_KEY") +openai.api_key = OPENAI_API_KEY +client = OpenAI(api_key=OPENAI_API_KEY) + +@function_tool +def retrieve_backend_context(query: str, k: int = 4, path: str = "./CodeKnowledge/chroma_store", name: str ='backend_skeleton') -> str: + client_chroma = chromadb.PersistentClient(path=path) + collection = client_chroma.get_collection(name) + + q_emb = client.embeddings.create( + model="text-embedding-3-small", + input=[query] + ).data[0].embedding + + results = collection.query( + query_embeddings=[q_emb], + n_results=k, + include=["documents", "metadatas"] + ) + + docs = results["documents"][0] + joined = "\n\n---\n\n".join(docs) + return f"Contexto recuperado (top {k}):\n\n{joined}" + +# if __name__ == '__main__': +# content = retrieve_backend_context("Flask blueprint authentication patterns: user model, registration, login, password hashing, JWT tokens, SQLAlchemy integration", 8, path=os.path.join(os.path.dirname(__file__), 'CodeKnowledge', 'chroma_store')) +# print(content) \ No newline at end of file diff --git a/backend/Functions/task_sheduler/task_sheduler.py b/backend/Functions/task_sheduler/task_sheduler.py new file mode 100644 index 000000000..a9fbd6f5e --- /dev/null +++ b/backend/Functions/task_sheduler/task_sheduler.py @@ -0,0 +1,64 @@ +import requests +from datetime import datetime, timedelta +import pytz +from pydantic import BaseModel +import os +from agents import Agent, Runner, function_tool, SQLiteSession +import openai +import chromadb +from openai import OpenAI +from dotenv import load_dotenv + +@function_tool +def task_sheduler( + BACKEND_URL: str, + ACCESS_TOKEN: str, + EMPLOYER_CATEGORY: str, + SPRINT_NAME: str, + SPRINT_OBJECTIVE: str, + user_id: int = 4, + priority: int = 2, + hours: str = '1.5', + lang: str ='pt', + eta_str: str | None = None + ) -> str: + tz = pytz.timezone("America/Sao_Paulo") + if eta_str: + try: + eta = datetime.strptime(eta_str, "%Y-%m-%d %H:%M:%S") + eta = tz.localize(eta) + except ValueError: + raise ValueError("Formato de data inválido! Use 'YYYY-MM-DD HH:MM:SS'") + else: + eta = datetime.now(tz) + timedelta(minutes=2) + + print(f"⏰ Tarefa agendada para {eta.strftime('%Y-%m-%d %H:%M:%S')} (Horário de São Paulo)") + + payload = { + "user_id": user_id, + "category": EMPLOYER_CATEGORY, + "content": f"Tarefa para {SPRINT_NAME}\n\n{SPRINT_OBJECTIVE}", + "priority": priority, + "hours": hours, + "lang": lang, + "eta": eta.isoformat() # Passando ISO 8601 + } + + headers = { + "Content-Type": "application/json", + "X-API-TOKEN": ACCESS_TOKEN + } + + try: + response = requests.post(BACKEND_URL, json=payload, headers=headers) + if response.status_code == 201: + data = response.json() + print("✅ Tarefa criada com sucesso!") + print(f"🆔 ID da tarefa: {data.get('task_id')}") + print(f"📦 Status inicial: {data.get('status')}") + return f"🆔 ID da tarefa: {data.get('task_id')}" + else: + print(f"❌ Falha ao criar tarefa ({response.status_code}): {response.text}") + return f"❌ Falha ao criar tarefa ({response.status_code}): {response.text}" + except Exception as e: + print(f"💥 Erro de execução: {e}") diff --git a/Back-End/Models/mongoDB.py b/backend/Models/mongoDB.py similarity index 89% rename from Back-End/Models/mongoDB.py rename to backend/Models/mongoDB.py index 4cb78da5a..026fdfa43 100644 --- a/Back-End/Models/mongoDB.py +++ b/backend/Models/mongoDB.py @@ -15,10 +15,6 @@ mongo_db = mongo_client[MONGO_DB_NAME] logs_collection = mongo_db.logs -# ============================================================================= -# MODELOS DE BANCO DE DADOS (MongoDB) -# ============================================================================= - class Log: collection = mongo_db['logs'] diff --git a/Back-End/Models/postgreSQL.py b/backend/Models/postgreSQL.py similarity index 87% rename from Back-End/Models/postgreSQL.py rename to backend/Models/postgreSQL.py index e33b7c0d0..077c2ea76 100644 --- a/Back-End/Models/postgreSQL.py +++ b/backend/Models/postgreSQL.py @@ -5,6 +5,9 @@ import secrets import json from sqlalchemy import Numeric +from enum import Enum as PyEnum +from sqlalchemy import Text +from sqlalchemy.sql import func TOKEN_DEFAULT_EXPIRES_DAYS = 30 @@ -40,7 +43,32 @@ def create_access_token_for_user(self, expires_days: int = TOKEN_DEFAULT_EXPIRES self.expires_at = datetime.utcnow() + timedelta(days=int(expires_days)) self.revoked_at = None return token - + +class TaskStatus(PyEnum): + PENDING = "pending" + SHEDULED = "sheduled" + RUNNING = "running" + DONE = "done" + FAILED = "failed" + +class BackendTask(db.Model): + __tablename__ = "backend_tasks" + + id = db.Column(db.Integer, primary_key=True, autoincrement=True) + user_id = db.Column(db.Integer, db.ForeignKey('users.id'), nullable=True) + user_content = db.Column(db.Text, nullable=False) + category = db.Column(db.String(128), default="desenvolvimento") + commit_language = db.Column(db.String(128), default="pt") + priority = db.Column(db.Integer, default=1) + status = db.Column(db.String(128), default=TaskStatus.PENDING) + created_at = db.Column(db.DateTime(timezone=True), default=func.now()) + completed_at = db.Column(db.DateTime(timezone=True), default=func.now()) + + estimated_hours = db.Column(db.String(128), nullable=True) + total_tokens = db.Column(db.String(128), nullable=True) + result = db.Column(db.Text, nullable=True) + eta_str = db.Column(db.String(328), nullable=True) + class CommitMessage(db.Model): __tablename__ = 'commit_messages' diff --git a/backend/Modules/ChatKit/FactAgentContext.py b/backend/Modules/ChatKit/FactAgentContext.py new file mode 100644 index 000000000..3c9506896 --- /dev/null +++ b/backend/Modules/ChatKit/FactAgentContext.py @@ -0,0 +1,13 @@ + +from __future__ import annotations + +from typing import Annotated, Any, AsyncIterator, Final, Literal +from chatkit.agents import AgentContext +from pydantic import ConfigDict, Field +from .memory_store import MemoryStore + + +class FactAgentContext(AgentContext): + model_config = ConfigDict(arbitrary_types_allowed=True) + store: Annotated[MemoryStore, Field(exclude=True)] + request_context: dict[str, Any] diff --git a/backend/Modules/ChatKit/__init__.py b/backend/Modules/ChatKit/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/Modules/ChatKit/chat.py b/backend/Modules/ChatKit/chat.py new file mode 100644 index 000000000..72fe8856f --- /dev/null +++ b/backend/Modules/ChatKit/chat.py @@ -0,0 +1,298 @@ +# chat.py +from __future__ import annotations + +import os +import asyncio +import inspect +import logging +from datetime import datetime +from typing import Annotated, Any, AsyncIterator, Final, Literal +from uuid import uuid4 +from agents import Agent, RunContextWrapper, Runner, ModelSettings,RunConfig, StopAtTools, function_tool, SQLiteSession +from chatkit.server import ChatKitServer, ThreadItemDoneEvent +from chatkit.agents import ( + AgentContext, + ClientToolCall, + ThreadItemConverter, + stream_agent_response, + stream_widget, + simple_to_agent_input +) +from chatkit.widgets import ( + Text, Card, Chart, BarSeries, LineSeries, XAxisConfig +) +from chatkit.types import ( + Attachment, + ClientToolCallItem, + HiddenContextItem, + ThreadItem, + ThreadMetadata, + ThreadStreamEvent, + UserMessageItem, +) +from .tools import * +from .utils import (_stream_saved_hidden, + _normalize_color_scheme, + CLIENT_THEME_TOOL_NAME, + _gen_id, + _is_tool_completion_item, + _thread_item_done, + _user_message_text + ) +from openai.types.responses import ResponseInputContentParam +from .constants import NAME, INSTRUCTIONS, MODEL +from .memory_store import MemoryStore +from .FactAgentContext import FactAgentContext +from chatkit.store import Store +from .postgres_store import PostgresStore +from api import db, app + +logging.basicConfig(level=logging.INFO) + +class SoftwareAIAgentServer(ChatKitServer[dict[str, Any]]): + """ChatKit server wired up with the fact-recording tool.""" + + def __init__(self, store: Store) -> None: # + self.store = store + # self.store: MemoryStore = MemoryStore() + super().__init__(self.store) + tools = [ + # save_fact, + # switch_theme, + # get_weather, + get_agent_activity_count, + get_gcl_threshold_config, + chart_generator + ] + self.assistant = Agent[FactAgentContext]( + model=MODEL, + name=NAME, + instructions=INSTRUCTIONS, + tools=tools, + + ) + self.short_title = Agent( + model=MODEL, + name="short title conversation", + instructions="voce tem uma responsabilidade, crie titulos curtos para as conversas", + ) + model_settings = ModelSettings( + include_usage=True, + tracing_disabled=True, + workflow_name="SoftwareAI Chat Kit", + # parallel_tool_calls=True + ) + + self.run_config = RunConfig( + model_settings=model_settings + ) + + + os.makedirs(os.path.join(os.path.dirname(__file__), 'Thread_Sessions'), exist_ok=True) + self._thread_item_converter = self._init_thread_item_converter() + + async def respond( + self, + thread: ThreadMetadata, + item: UserMessageItem | None, + context: dict[str, Any], + ) -> AsyncIterator[ThreadStreamEvent]: + if item is not None: + asyncio.create_task(self.maybe_update_thread_title(thread, item)) + + agent_context = FactAgentContext( + thread=thread, + store=self.store, + request_context=context, + ) + + logging.info(f"inference_options: {item.inference_options}") + if item.inference_options.tool_choice: + logging.info(f"inference_options id {item.inference_options.tool_choice.id}") + model_settings_with_tool = ModelSettings( + include_usage=True, + tracing_disabled=True, + workflow_name="SoftwareAI Chat Kit", + tool_choice=item.inference_options.tool_choice.id, + ) + self.run_config = RunConfig( + model_settings=model_settings_with_tool + ) + + target_item: ThreadItem | None = item + if target_item is None: + target_item = await self._latest_thread_item(thread, context) + + if target_item is None or _is_tool_completion_item(target_item): + return + + + agent_input = await self._to_agent_input(thread, target_item) + if agent_input is None: + return + + + session = SQLiteSession(f"{thread.id}", + db_path=os.path.join(os.path.dirname(__file__), + 'Thread_Sessions', + f'{thread.id}.db' + )) + + result = Runner.run_streamed( + self.assistant, + agent_input, + context=agent_context, + session=session, + run_config=self.run_config + ) + + + async for event in stream_agent_response(agent_context, result): + yield event + + # async for event in stream_widget( + # thread, + # self.chart_generator(), + # generate_id=lambda item_type: self.store.generate_item_id( + # item_type, thread, context + # ), + # ): + # yield event + + return + + async def maybe_update_thread_title( + self, + thread: ThreadMetadata, + input_item: UserMessageItem, + ) -> None: + if thread.title is not None: + return + agent_input = await simple_to_agent_input(input_item) + run = await Runner.run(self.short_title, input=agent_input) + thread.title = run.final_output + + async def to_message_content(self, _input: Attachment) -> ResponseInputContentParam: + raise RuntimeError("File attachments are not supported in this demo.") + + def _init_thread_item_converter(self) -> Any | None: + converter_cls = ThreadItemConverter + if converter_cls is None or not callable(converter_cls): + return None + + attempts: tuple[dict[str, Any], ...] = ( + {"to_message_content": self.to_message_content}, + {"message_content_converter": self.to_message_content}, + {}, + ) + + for kwargs in attempts: + try: + return converter_cls(**kwargs) + except TypeError: + continue + return None + + async def _latest_thread_item( + self, thread: ThreadMetadata, context: dict[str, Any] + ) -> ThreadItem | None: + try: + items = await self.store.load_thread_items(thread.id, None, 999, "desc", context) + logging.info(f"_latest_thread_item items {items}") + except Exception: # pragma: no cover - defensive + return None + + return items.data[0] if getattr(items, "data", None) else None + + async def _to_agent_input( + self, + thread: ThreadMetadata, + item: ThreadItem, + ) -> Any | None: + if _is_tool_completion_item(item): + return None + + converter = getattr(self, "_thread_item_converter", None) + if converter is not None: + for attr in ( + "to_input_item", + "convert", + "convert_item", + "convert_thread_item", + ): + method = getattr(converter, attr, None) + if method is None: + continue + call_args: list[Any] = [item] + call_kwargs: dict[str, Any] = {} + try: + signature = inspect.signature(method) + except (TypeError, ValueError): + signature = None + + if signature is not None: + params = [ + parameter + for parameter in signature.parameters.values() + if parameter.kind + not in ( + inspect.Parameter.VAR_POSITIONAL, + inspect.Parameter.VAR_KEYWORD, + ) + ] + if len(params) >= 2: + next_param = params[1] + if next_param.kind in ( + inspect.Parameter.POSITIONAL_ONLY, + inspect.Parameter.POSITIONAL_OR_KEYWORD, + ): + call_args.append(thread) + else: + call_kwargs[next_param.name] = thread + + result = method(*call_args, **call_kwargs) + if inspect.isawaitable(result): + return await result + return result + + if isinstance(item, UserMessageItem): + return _user_message_text(item) + + return None + + async def _add_hidden_item( + self, + thread: ThreadMetadata, + context: dict[str, Any], + content: str, + ) -> None: + await self.store.add_thread_item( + thread.id, + HiddenContextItem( + id=_gen_id("msg"), + thread_id=thread.id, + created_at=datetime.now(), + content=content, + ), + context, + ) + + + + +def create_chatkit_server() -> SoftwareAIAgentServer | None: + """Return a configured ChatKit server instance if dependencies are available.""" + # return SoftwareAIAgentServer() + try: + + + with app.app_context(): + db.create_all() + logging.info("Database tables checked and created if they did not exist.") + + store_instance = PostgresStore(database=db) + return SoftwareAIAgentServer(store=store_instance) + except Exception as e: + # Log and return None if store or server creation fails due to missing dependencies + logging.error(f"Failed to create ChatKit server with PostgresStore: {e}") + return None \ No newline at end of file diff --git a/backend/Modules/ChatKit/constants.py b/backend/Modules/ChatKit/constants.py new file mode 100644 index 000000000..ec5e05ed7 --- /dev/null +++ b/backend/Modules/ChatKit/constants.py @@ -0,0 +1,93 @@ +"""Constants and configuration used across the ChatKit backend.""" + +from __future__ import annotations + +from typing import Final + +charts = """ +**Sobre gráficos:** + +* Para criar gráficos, você **DEVE** chamar a ferramenta `chart_generator`. +* **Nunca** gere gráficos em texto; **sempre** use a ferramenta para exibir visualmente o gráfico. +* Sempre que o usuário fornecer **números, métricas ou dados comparativos** (como vendas, pedidos, usuários, etc.), você deve converter esses dados **proativamente** em um modelo compatível com `ChartData`. + +#### Estrutura esperada de dados: + +* Cada ponto do gráfico deve ser representado por um objeto `ChartPoint` (BaseModel) com as chaves: + + * `month`: nome da categoria, período ou eixo X (ex: `"Jan"`, `"App"`, `"Semana 1"`) + * `sales`: valor de vendas (float) + * `orders`: número de pedidos (float) + +* O conjunto completo é enviado dentro de um modelo `ChartData`, que inclui: + + * `id`: identificador único do gráfico (ex: `"sales_chart"`) + * `title`: título exibido no topo do gráfico + * `xAxis`: campo usado no eixo X (geralmente `"month"`) + * `points`: lista de objetos `ChartPoint` + * `series`: lista de objetos `ChartSeries` que definem o estilo de cada série + +* Cada `ChartSeries` define uma série configurável no gráfico: + + * `type`: `"bar"` ou `"line"` + * `dataKey`: campo de dados correspondente (ex: `"sales"` ou `"orders"`) + * `label`: texto da legenda exibido para a série + *(Exemplo: `ChartSeries(type="bar", dataKey="sales", label="Vendas")`)* + +#### Exemplo prático: + +Se o usuário disser: + +> "Gere um gráfico com 10 vendas e 30 pedidos no app." + +Você deve montar o dado automaticamente assim: + +```python +data = ChartData( + id="sales_chart", + title="📊 Vendas e Pedidos por Aplicativo", + xAxis="month", + points=[ + ChartPoint(month="App", sales=10, orders=30) + ], + series=[ + ChartSeries(type="bar", dataKey="sales", label="Vendas"), + ChartSeries(type="line", dataKey="orders", label="Pedidos") + ] +) +await chart_generator(ctx, data) +``` + +#### Boas práticas: + +* Sempre inclua **legendas (`label`)** e **tooltips** para melhorar a leitura do gráfico. +* Certifique-se de que as **chaves (`dataKey`)** correspondam exatamente aos campos de `ChartPoint`. +* Organize os dados para que **cada ponto represente uma entrada da lista** (`points`). +* Quando o usuário não especificar as séries, use o padrão: + + * `BarSeries` → `"Vendas"` + * `LineSeries` → `"Pedidos"` +* Após o gráfico ser exibido, explique brevemente **o que ele mostra**, mas **nunca descreva o gráfico em texto como se fosse um desenho**. + +""" + +INSTRUCTIONS: Final[str] = ( + "Você é o Guia SoftwareAI, um assistente de integração que ajuda os usuários " + + "**Métricas dos Agentes:** Quando o usuário perguntar sobre a atividade ou produtividade dos agentes, " + "como 'Quantas tarefas os agentes fizeram hoje?' ou 'Me diga o total de execuções do PR AI', você **DEVE** " + "chamar a tool `get_agent_activity_count`. Analise a string de retorno da tool e use-a para fornecer uma resposta clara e conversacional ao usuário." + "\n\n" + "**Configurações do GCL:** Quando o usuário questionar sobre os limites (thresholds) do Git Context Layer (GCL), " + "como 'Qual é o limite de linhas para o GCL?' ou 'Qual o máximo de arquivos?', você **DEVE** chamar a tool `get_gcl_threshold_config`. " + "Use o parâmetro `setting_key` ('lines_threshold' ou 'files_threshold') para especificar a configuração. Analise a resposta e forneça a informação solicitada." + "\n\n" + f"{charts}" + "\n\n" + "Ao recusar uma solicitação, explique brevemente que você só pode ajudar com " + "orientação sobre o SoftwareAI, coleta de fatos, **métricas de agentes, configurações de limite do GCL,** ou compartilhamento de atualizações do clima." + +) +MODEL = "gpt-4.1-mini" +NAME = "Softwareai Chat" + diff --git a/backend/Modules/ChatKit/facts.py b/backend/Modules/ChatKit/facts.py new file mode 100644 index 000000000..dbd629be6 --- /dev/null +++ b/backend/Modules/ChatKit/facts.py @@ -0,0 +1,93 @@ +"""Simple in-memory store for user facts.""" + +from __future__ import annotations + +import asyncio +from dataclasses import dataclass, field +from datetime import datetime +from enum import Enum +from typing import Dict, Iterable, List +from uuid import uuid4 + + +class FactStatus(str, Enum): + """Lifecycle states for collected facts.""" + + PENDING = "pending" + SAVED = "saved" + DISCARDED = "discarded" + + +@dataclass(slots=True) +class Fact: + """Represents a single fact gathered from the conversation.""" + + text: str + status: FactStatus = FactStatus.PENDING + id: str = field(default_factory=lambda: f"fact_{uuid4().hex[:8]}") + created_at: datetime = field(default_factory=datetime.utcnow) + + def as_dict(self) -> dict[str, str]: + """Serialize the fact for JSON responses.""" + return { + "id": self.id, + "text": self.text, + "status": self.status.value, + "createdAt": self.created_at.isoformat(), + } + + +class FactStore: + """Thread-safe helper that stores facts in memory.""" + + def __init__(self) -> None: + self._facts: Dict[str, Fact] = {} + self._order: List[str] = [] + self._lock = asyncio.Lock() + + async def create(self, *, text: str) -> Fact: + """Create a pending fact and return it.""" + async with self._lock: + fact = Fact(text=text) + self._facts[fact.id] = fact + self._order.append(fact.id) + return fact + + async def mark_saved(self, fact_id: str) -> Fact | None: + """Mark the given fact as saved, returning the updated record.""" + async with self._lock: + fact = self._facts.get(fact_id) + if fact is None: + return None + fact.status = FactStatus.SAVED + return fact + + async def discard(self, fact_id: str) -> Fact | None: + """Discard the fact and remove it from the active list.""" + async with self._lock: + fact = self._facts.get(fact_id) + if fact is None: + return None + fact.status = FactStatus.DISCARDED + return fact + + async def list_saved(self) -> List[Fact]: + """Return saved facts in insertion order.""" + async with self._lock: + return [ + self._facts[fact_id] + for fact_id in self._order + if self._facts[fact_id].status == FactStatus.SAVED + ] + + async def get(self, fact_id: str) -> Fact | None: + async with self._lock: + return self._facts.get(fact_id) + + async def iter_pending(self) -> Iterable[Fact]: + async with self._lock: + return [fact for fact in self._facts.values() if fact.status == FactStatus.PENDING] + + +fact_store = FactStore() +"""Global instance used by the API and the ChatKit workflow.""" diff --git a/backend/Modules/ChatKit/memory_store.py b/backend/Modules/ChatKit/memory_store.py new file mode 100644 index 000000000..61a19e9ab --- /dev/null +++ b/backend/Modules/ChatKit/memory_store.py @@ -0,0 +1,165 @@ +from __future__ import annotations + +from dataclasses import dataclass +from datetime import datetime +from typing import Any, Dict, List + +from chatkit.store import NotFoundError, Store +from chatkit.types import ( + Attachment, + Page, + ThreadItem, + ThreadMetadata, +) + + +@dataclass +class _ThreadState: + thread: ThreadMetadata + items: List[ThreadItem] + + +class MemoryStore(Store[dict[str, Any]]): + """Simple in-memory store compatible with the ChatKit server interface.""" + + def __init__(self) -> None: + self._threads: Dict[str, _ThreadState] = {} + # Attachments intentionally unsupported; use a real store that enforces auth. + + # -- Thread metadata ------------------------------------------------- + async def load_thread(self, thread_id: str, context: dict[str, Any]) -> ThreadMetadata: + state = self._threads.get(thread_id) + if not state: + raise NotFoundError(f"Thread {thread_id} not found") + return state.thread.model_copy(deep=True) + + async def save_thread(self, thread: ThreadMetadata, context: dict[str, Any]) -> None: + state = self._threads.get(thread.id) + if state: + state.thread = thread.model_copy(deep=True) + else: + self._threads[thread.id] = _ThreadState( + thread=thread.model_copy(deep=True), + items=[], + ) + + async def load_threads( + self, + limit: int, + after: str | None, + order: str, + context: dict[str, Any], + ) -> Page[ThreadMetadata]: + threads = sorted( + (state.thread.model_copy(deep=True) for state in self._threads.values()), + key=lambda t: t.created_at or datetime.min, + reverse=(order == "desc"), + ) + + if after: + index_map = {thread.id: idx for idx, thread in enumerate(threads)} + start = index_map.get(after, -1) + 1 + else: + start = 0 + + slice_threads = threads[start : start + limit + 1] + has_more = len(slice_threads) > limit + slice_threads = slice_threads[:limit] + next_after = slice_threads[-1].id if has_more and slice_threads else None + return Page( + data=slice_threads, + has_more=has_more, + after=next_after, + ) + + async def delete_thread(self, thread_id: str, context: dict[str, Any]) -> None: + self._threads.pop(thread_id, None) + + # -- Thread items ---------------------------------------------------- + def _items(self, thread_id: str) -> List[ThreadItem]: + state = self._threads.get(thread_id) + if state is None: + state = _ThreadState( + thread=ThreadMetadata(id=thread_id, created_at=datetime.utcnow()), + items=[], + ) + self._threads[thread_id] = state + return state.items + + async def load_thread_items( + self, + thread_id: str, + after: str | None, + limit: int, + order: str, + context: dict[str, Any], + ) -> Page[ThreadItem]: + items = [item.model_copy(deep=True) for item in self._items(thread_id)] + items.sort( + key=lambda item: getattr(item, "created_at", datetime.utcnow()), + reverse=(order == "desc"), + ) + + if after: + index_map = {item.id: idx for idx, item in enumerate(items)} + start = index_map.get(after, -1) + 1 + else: + start = 0 + + slice_items = items[start : start + limit + 1] + has_more = len(slice_items) > limit + slice_items = slice_items[:limit] + next_after = slice_items[-1].id if has_more and slice_items else None + return Page(data=slice_items, has_more=has_more, after=next_after) + + async def add_thread_item( + self, thread_id: str, item: ThreadItem, context: dict[str, Any] + ) -> None: + self._items(thread_id).append(item.model_copy(deep=True)) + + async def save_item(self, thread_id: str, item: ThreadItem, context: dict[str, Any]) -> None: + items = self._items(thread_id) + for idx, existing in enumerate(items): + if existing.id == item.id: + items[idx] = item.model_copy(deep=True) + return + items.append(item.model_copy(deep=True)) + + async def load_item(self, thread_id: str, item_id: str, context: dict[str, Any]) -> ThreadItem: + for item in self._items(thread_id): + if item.id == item_id: + return item.model_copy(deep=True) + raise NotFoundError(f"Item {item_id} not found") + + async def delete_thread_item( + self, thread_id: str, item_id: str, context: dict[str, Any] + ) -> None: + items = self._items(thread_id) + self._threads[thread_id].items = [item for item in items if item.id != item_id] + + # -- Files ----------------------------------------------------------- + # These methods are not currently used but required to be compatible with the Store interface. + + async def save_attachment( + self, + attachment: Attachment, + context: dict[str, Any], + ) -> None: + raise NotImplementedError( + "MemoryStore does not persist attachments. Provide a Store implementation " + "that enforces authentication and authorization before enabling uploads." + ) + + async def load_attachment( + self, + attachment_id: str, + context: dict[str, Any], + ) -> Attachment: + raise NotImplementedError( + "MemoryStore does not load attachments. Provide a Store implementation " + "that enforces authentication and authorization before enabling uploads." + ) + + async def delete_attachment(self, attachment_id: str, context: dict[str, Any]) -> None: + """Método obrigatório pela interface Store — não suportado aqui.""" + raise NotImplementedError("Anexos não são suportados no PostgresStore.") \ No newline at end of file diff --git a/backend/Modules/ChatKit/postgres_store.py b/backend/Modules/ChatKit/postgres_store.py new file mode 100644 index 000000000..a70630f4d --- /dev/null +++ b/backend/Modules/ChatKit/postgres_store.py @@ -0,0 +1,340 @@ +# postgres_store.py +from __future__ import annotations + +from datetime import datetime +import logging +import json +from typing import Any + +from chatkit.store import NotFoundError, Store +from Modules.ChatKit.memory_store import MemoryStore # opcional: manter se for subclass +from chatkit.types import Page, ThreadItem, ThreadMetadata +from flask_sqlalchemy import SQLAlchemy +from sqlalchemy.dialects.postgresql import JSONB +from sqlalchemy.exc import NoResultFound +from sqlalchemy import and_, desc, func, or_ + +from chatkit.types import UserMessageItem, AssistantMessageItem, HiddenContextItem, ClientToolCallItem, ThreadItem as GenericThreadItem + +from api import db, app + +logging.basicConfig(level=logging.INFO) + +# Serializador auxiliar — mas preferimos gravar dicts, não strings. +def json_serial(obj): + if isinstance(obj, (datetime,)): + return obj.isoformat() + raise TypeError(f"Tipo {type(obj)} não é serializável em JSON") + +def _validate_thread_item(raw: Any): + """ + Tenta várias estratégias para transformar `raw` (dict) em um ThreadItem: + 1) usar ThreadItem.model_validate (se existir) + 2) usar pydantic.TypeAdapter (v2) + 3) usar pydantic.parse_obj_as (v1) + 4) tentar model_validate nas subclasses conhecidas + 5) tentar instanciar Generic ThreadItem diretamente + Se nenhuma funcionar, lança Exception. + """ + # 1) Se ThreadItem expuser model_validate (pydantic v2 style em classe), tenta + try: + validator = getattr(ThreadItem, "model_validate", None) + if callable(validator): + return ThreadItem.model_validate(raw) + except Exception: + pass + + # 2) TypeAdapter (pydantic v2) + try: + from pydantic import TypeAdapter + return TypeAdapter(ThreadItem).validate_python(raw) + except Exception: + pass + + # 3) parse_obj_as (pydantic v1) + try: + from pydantic import parse_obj_as + return parse_obj_as(ThreadItem, raw) + except Exception: + pass + + # 4) tentar subclasses conhecidas (defensivo) + for cls in (UserMessageItem, AssistantMessageItem, HiddenContextItem, ClientToolCallItem): + try: + validator = getattr(cls, "model_validate", None) + if callable(validator): + return cls.model_validate(raw) + # fallback simples para instanciar via construtor + return cls(**raw) + except Exception: + continue + + # 5) último recurso: tentar criar um ThreadItem "genérico" (se existir) + try: + # Se ThreadItem for Union, talvez exista uma implementação base importável chamada ThreadItemBase + base_validator = getattr(ThreadItem, "model_validate", None) + if callable(base_validator): + return base_validator(raw) + except Exception: + pass + + # Nenhuma estratégia funcionou -> levantar erro para que o caller logue e continue + raise ValueError("Não foi possível desserializar ThreadItem com as estratégias conhecidas.") + +class Thread(db.Model): + __tablename__ = "threads" + id = db.Column(db.String, primary_key=True) + created_at = db.Column(db.DateTime, nullable=False, default=datetime.utcnow, index=True) + thread_data = db.Column(JSONB, nullable=False) + items = db.relationship("Item", backref="thread", lazy=True, cascade="all, delete-orphan") + + +class Item(db.Model): + __tablename__ = "items" + id = db.Column(db.String, primary_key=True) + thread_id = db.Column(db.String, db.ForeignKey("threads.id"), nullable=False, index=True) + created_at = db.Column(db.DateTime, nullable=False, default=datetime.utcnow, index=True) + data = db.Column(JSONB, nullable=False) + + +class PostgresStore(MemoryStore): + """Implementação da Store do ChatKit usando PostgreSQL/SQLAlchemy.""" + + def __init__(self, database: SQLAlchemy): + self.db = database + + # -- Threads --------------------------------------------------------- + async def save_thread(self, thread: ThreadMetadata, context: dict[str, Any]) -> None: + with app.app_context(): + # gravar como dict (JSONB), convertendo datetime para iso + thread_data_dict = json.loads(json.dumps(thread.model_dump(), default=json_serial)) + thread_record = self.db.session.query(Thread).filter_by(id=thread.id).first() + if thread_record is None: + thread_record = Thread( + id=thread.id, + created_at=thread.created_at or datetime.utcnow(), + thread_data=thread_data_dict, + ) + self.db.session.add(thread_record) + else: + thread_record.thread_data = thread_data_dict + # manter created_at se já existir + self.db.session.commit() + # manter compatibilidade com MemoryStore (que não retorna) + return None + + async def load_thread(self, thread_id: str, context: dict[str, Any]) -> ThreadMetadata: + with app.app_context(): + try: + thread_record = self.db.session.query(Thread).filter_by(id=thread_id).one() + except NoResultFound as e: + raise NotFoundError(f"Thread '{thread_id}' not found.") from e + + raw = thread_record.thread_data + if isinstance(raw, str): + try: + raw = json.loads(raw) + except Exception: + logging.error(f"Thread {thread_id} possui JSON inválido em thread_data.") + raise + return ThreadMetadata.model_validate(raw) + + async def load_threads( + self, + limit: int, + after: str | None, + order: str, + context: dict[str, Any], + ) -> Page[ThreadMetadata]: + """Assinatura alinhada com MemoryStore: (limit, after, order, context).""" + with app.app_context(): + order_by_clauses = [desc(Thread.created_at) if order == "desc" else Thread.created_at] + order_by_clauses.append(Thread.id.desc() if order == "desc" else Thread.id.asc()) + + query = self.db.session.query(Thread).order_by(*order_by_clauses) + + if after: + try: + after_thread = self.db.session.query(Thread).filter_by(id=after).one() + except NoResultFound: + after_thread = None + + if after_thread: + if order == "desc": + query = query.filter( + or_( + Thread.created_at < after_thread.created_at, + and_( + Thread.created_at == after_thread.created_at, + Thread.id > after_thread.id, + ), + ) + ) + else: + query = query.filter( + or_( + Thread.created_at > after_thread.created_at, + and_( + Thread.created_at == after_thread.created_at, + Thread.id < after_thread.id, + ), + ) + ) + + results = query.limit(limit + 1).all() + has_more = len(results) > limit + + data = [] + for rec in results[:limit]: + raw = rec.thread_data + if isinstance(raw, str): + try: + raw = json.loads(raw) + except Exception: + logging.error(f"Thread {rec.id} possui JSON inválido em thread_data.") + continue + try: + data.append(ThreadMetadata.model_validate(raw)) + except Exception as e: + logging.error(f"Falha ao validar ThreadMetadata {rec.id}: {e}") + continue + + next_after = data[-1].id if has_more and data else None + return Page(data=data, has_more=has_more, after=next_after) + + async def delete_thread(self, thread_id: str, context: dict[str, Any]) -> None: + with app.app_context(): + thread_record = self.db.session.query(Thread).filter_by(id=thread_id).first() + if thread_record: + self.db.session.delete(thread_record) + self.db.session.commit() + + # -- Thread items --------------------------------------------------- + async def add_thread_item(self, thread_id: str, item: ThreadItem, context: dict[str, Any]) -> None: + """Adiciona item gravando um dict (JSONB), não string.""" + with app.app_context(): + item_dict = json.loads(json.dumps(item.model_dump(), default=json_serial)) + item_record = Item( + id=item.id, + thread_id=thread_id, + created_at=item.created_at or datetime.utcnow(), + data=item_dict, + ) + self.db.session.add(item_record) + self.db.session.commit() + return None + + async def load_thread_items( + self, + thread_id: str, + after: str | None, + limit: int, + order: str, + context: dict[str, Any], + ) -> Page[ThreadItem]: + with app.app_context(): + order_by_clauses = [desc(Item.created_at) if order == "desc" else Item.created_at] + order_by_clauses.append(Item.id.desc() if order == "desc" else Item.id.asc()) + + query = ( + self.db.session.query(Item) + .filter_by(thread_id=thread_id) + .order_by(*order_by_clauses) + ) + + if after: + try: + after_item = self.db.session.query(Item).filter_by(id=after).one() + except NoResultFound: + after_item = None + + if after_item: + if order == "desc": + query = query.filter( + or_( + Item.created_at < after_item.created_at, + and_(Item.created_at == after_item.created_at, Item.id > after_item.id), + ) + ) + else: + query = query.filter( + or_( + Item.created_at > after_item.created_at, + and_(Item.created_at == after_item.created_at, Item.id < after_item.id), + ) + ) + + results = query.limit(limit + 1).all() + has_more = len(results) > limit + + data: list[ThreadItem] = [] + for rec in results[:limit]: + try: + raw = rec.data + # JSONB normalmente já vem como dict. Se por algum motivo for string, carregar. + if isinstance(raw, str): + raw = json.loads(raw) + item = _validate_thread_item(raw) + data.append(item) + except Exception as e: + logging.error(f"Falha ao desserializar ThreadItem {rec.id}: {e}") + # NÃO interromper a iteração; apenas pular o item inválido. + continue + + next_after = data[-1].id if has_more and data else None + return Page(data=data, has_more=has_more, after=next_after) + + + async def delete_thread_item(self, thread_id: str, item_id: str, context: dict[str, Any]) -> None: + with app.app_context(): + item = self.db.session.query(Item).filter_by(id=item_id, thread_id=thread_id).first() + if item: + self.db.session.delete(item) + self.db.session.commit() + + async def save_item(self, thread_id: str, item: ThreadItem, context: dict[str, Any]) -> None: + with app.app_context(): + item_record = self.db.session.query(Item).filter_by(id=item.id, thread_id=thread_id).first() + item_dict = json.loads(json.dumps(item.model_dump(), default=json_serial)) + + if item_record: + item_record.data = item_dict + item_record.created_at = item.created_at or item_record.created_at + else: + item_record = Item( + id=item.id, + thread_id=thread_id, + created_at=item.created_at or datetime.utcnow(), + data=item_dict, + ) + self.db.session.add(item_record) + + self.db.session.commit() + return None + + async def load_item(self, thread_id: str, item_id: str, context: dict[str, Any]) -> ThreadItem: + with app.app_context(): + item_record = self.db.session.query(Item).filter_by(id=item_id, thread_id=thread_id).first() + if not item_record: + raise NotFoundError(f"Item '{item_id}' not found in thread '{thread_id}'") + + raw = item_record.data + if isinstance(raw, str): + raw = json.loads(raw) + + try: + return _validate_thread_item(raw) + except Exception as e: + logging.error(f"Falha ao desserializar (load_item) ThreadItem {item_id}: {e}") + # convertendo pra NotFound para manter contrato (ou pode re-raise dependendo do desired behavior) + raise + + # -- Attachments (não implementado) --------------------------------- + async def save_attachment(self, attachment, context): + raise NotImplementedError("Anexos não são suportados.") + + async def load_attachment(self, attachment_id, context): + raise NotImplementedError("Anexos não são suportados.") + + async def delete_attachment(self, attachment_id: str, context: dict[str, Any]) -> None: + raise NotImplementedError("Anexos não são suportados no PostgresStore.") diff --git a/backend/Modules/ChatKit/sample_widget.py b/backend/Modules/ChatKit/sample_widget.py new file mode 100644 index 000000000..180bc8286 --- /dev/null +++ b/backend/Modules/ChatKit/sample_widget.py @@ -0,0 +1,742 @@ +from __future__ import annotations + +import base64 +from dataclasses import dataclass, field +from datetime import datetime +from typing import Sequence + +from chatkit.widgets import ( + Box, + Card, + Col, + Image, + Row, + Text, + Title, + WidgetComponent, + WidgetRoot, +) + +WEATHER_ICON_COLOR = "#1D4ED8" +WEATHER_ICON_ACCENT = "#DBEAFE" + + +def _sun_svg() -> str: + color = WEATHER_ICON_COLOR + accent = WEATHER_ICON_ACCENT + return ( + '' + f'' + f'' + '' + '' + '' + '' + '' + '' + '' + '' + "" + "" + ) + + +def _sun_peek_svg() -> str: + color = WEATHER_ICON_COLOR + accent = WEATHER_ICON_ACCENT + return ( + f"" + f'' + f'' + '' + '' + '' + '' + '' + '' + '' + '' + "" + "" + ) + + +def _fog_lines_svg() -> str: + color = WEATHER_ICON_COLOR + return ( + f'' + '' + '' + "" + ) + + +def _drizzle_lines_svg() -> str: + color = WEATHER_ICON_COLOR + return ( + f'' + '' + '' + '' + "" + ) + + +def _rain_lines_svg() -> str: + color = WEATHER_ICON_COLOR + return ( + f'' + '' + '' + '' + "" + ) + + +def _snow_symbols_svg() -> str: + color = WEATHER_ICON_COLOR + return ( + f'' + '' + '' + '' + '' + '' + '' + "" + ) + + +def _lightning_svg() -> str: + color = WEATHER_ICON_COLOR + return ( + f'' + ) + + +def _cloud_svg(before: str = "", after: str = "") -> str: + color = WEATHER_ICON_COLOR + accent = WEATHER_ICON_ACCENT + return ( + '' + f"{before}" + f'' + f"{after}" + "" + ) + + +WEATHER_ICON_SVGS: dict[str, str] = { + "sun": _sun_svg(), + "cloud": _cloud_svg(), + "cloud-sun": _cloud_svg(before=_sun_peek_svg()), + "cloud-fog": _cloud_svg(after=_fog_lines_svg()), + "cloud-drizzle": _cloud_svg(after=_drizzle_lines_svg()), + "cloud-rain": _cloud_svg(after=_rain_lines_svg()), + "cloud-snow": _cloud_svg(after=_snow_symbols_svg()), + "cloud-lightning": _cloud_svg(after=_lightning_svg()), +} + + +def _encode_svg(svg: str) -> str: + encoded = base64.b64encode(svg.encode("utf-8")).decode("ascii") + return f"data:image/svg+xml;base64,{encoded}" + + +WEATHER_ICON_SOURCES: dict[str, str] = { + name: _encode_svg(svg) for name, svg in WEATHER_ICON_SVGS.items() +} + + +DEFAULT_WEATHER_ICON_SRC = WEATHER_ICON_SOURCES["cloud"] + + +def _weather_icon_src(name: str | None) -> str: + if not name: + return DEFAULT_WEATHER_ICON_SRC + return WEATHER_ICON_SOURCES.get(name, DEFAULT_WEATHER_ICON_SRC) + + +def _wind_detail_svg() -> str: + color = WEATHER_ICON_COLOR + return ( + '' + f'' + f'' + f'' + "" + ) + + +def _humidity_detail_svg() -> str: + color = WEATHER_ICON_COLOR + accent = WEATHER_ICON_ACCENT + return ( + '' + f'' + f'' + "" + ) + + +def _precipitation_detail_svg() -> str: + color = WEATHER_ICON_COLOR + accent = WEATHER_ICON_ACCENT + return ( + '' + f'' + f'' + f'' + f'' + f'' + "" + ) + + +def _sunrise_detail_svg(rising: bool) -> str: + color = WEATHER_ICON_COLOR + accent = WEATHER_ICON_ACCENT + sun_y = "30" if rising else "34" + rays_top = ( + '' + if rising + else '' + ) + return ( + '' + f'' + f'' + f'' + f'' + f"{rays_top}" + '' + '' + "" + "" + ) + + +def _thermometer_detail_svg() -> str: + color = WEATHER_ICON_COLOR + accent = WEATHER_ICON_ACCENT + return ( + '' + f'' + f'' + f'' + "" + ) + + +DETAIL_ICON_SVGS: dict[str, str] = { + "wind": _wind_detail_svg(), + "humidity": _humidity_detail_svg(), + "precipitation": _precipitation_detail_svg(), + "sunrise": _sunrise_detail_svg(rising=True), + "sunset": _sunrise_detail_svg(rising=False), + "thermometer": _thermometer_detail_svg(), +} + + +DETAIL_ICON_SOURCES: dict[str, str] = { + name: _encode_svg(svg) for name, svg in DETAIL_ICON_SVGS.items() +} + + +DEFAULT_DETAIL_ICON_KEY = "thermometer" + + +DETAIL_ICON_MAP: dict[str, str] = { + "wind": "wind", + "droplets": "humidity", + "umbrella": "precipitation", + "sunrise": "sunrise", + "sunset": "sunset", + "feels_like": "thermometer", +} + + +def _detail_icon_src(name: str) -> str: + key = DETAIL_ICON_MAP.get(name, DEFAULT_DETAIL_ICON_KEY) + return DETAIL_ICON_SOURCES.get(key, DETAIL_ICON_SOURCES[DEFAULT_DETAIL_ICON_KEY]) + + +@dataclass(frozen=True) +class HourlyForecast: + """Represents a single entry in the short term forecast.""" + + time: datetime | None + temperature: float | None + temperature_unit: str + condition: str + icon: str + + +@dataclass(frozen=True) +class WeatherWidgetData: + """Container for the information rendered by the weather widget.""" + + location: str + observation_time: datetime | None + timezone_abbreviation: str + temperature: float | None + temperature_unit: str + condition: str + condition_icon: str + feels_like: float | None = None + high: float | None = None + low: float | None = None + wind_speed: float | None = None + wind_direction: float | None = None + wind_unit: str | None = None + humidity: float | None = None + humidity_unit: str | None = None + precipitation_probability: float | None = None + sunrise: datetime | None = None + sunset: datetime | None = None + hourly: Sequence[HourlyForecast] = field(default_factory=tuple) + + +def render_weather_widget(data: WeatherWidgetData) -> WidgetRoot: + """Build a modern weather dashboard widget from processed weather data.""" + + temperature_text = _format_temperature(data.temperature, data.temperature_unit) + high_low_text = _format_high_low(data.high, data.low, data.temperature_unit) + updated_text = _format_updated_label(data.observation_time, data.timezone_abbreviation) + + header = Box( + padding=5, + background="surface-tertiary", + children=[ + Col( + gap=4, + children=_compact( + [ + Row( + justify="between", + align="center", + children=_compact( + [ + Col( + align="start", + gap=1, + children=_compact( + [ + Text( + value=data.location, + size="lg", + weight="semibold", + ), + Text( + value=updated_text, + color="tertiary", + size="xs", + ) + if updated_text + else None, + ] + ), + ), + Box( + padding=3, + radius="full", + background="blue-100", + children=[ + Image( + src=_weather_icon_src(data.condition_icon), + alt=data.condition or "Current conditions", + size=28, + fit="contain", + ) + ], + ), + ] + ), + ), + Row( + align="start", + gap=4, + children=_compact( + [ + Title( + value=temperature_text, + size="lg", + weight="semibold", + ), + Col( + align="start", + gap=1, + children=_compact( + [ + Text( + value=data.condition, + color="secondary", + size="sm", + weight="medium", + ), + Text( + value=high_low_text, + color="tertiary", + size="xs", + ) + if high_low_text + else None, + ] + ), + ), + ] + ), + ), + ] + ), + ), + ], + ) + + details_section = _build_details_section(data) + hourly_section = _build_hourly_section(data) + + body_children: list[WidgetComponent] = [] + if details_section is not None: + body_children.append(details_section) + if hourly_section is not None: + body_children.append(hourly_section) + + body = Box(padding=5, gap=4, children=body_children) + + return Card( + key="weather", + padding=0, + children=_compact([header, body if body_children else None]), + ) + + +def weather_widget_copy_text(data: WeatherWidgetData) -> str: + """Generate human-readable fallback text for the weather widget.""" + + segments: list[str] = [] + + time_text = _format_updated_label(data.observation_time, data.timezone_abbreviation, short=True) + temperature_text = _format_temperature(data.temperature, data.temperature_unit) + condition_text = data.condition.lower() if data.condition else "unknown conditions" + location_text = data.location or "the selected location" + + if time_text: + segments.append( + f"As of {time_text}, {location_text} is {temperature_text} with {condition_text}." + ) + else: + segments.append( + f"Current weather in {location_text} is {temperature_text} with {condition_text}." + ) + + high_low_text = _format_high_low(data.high, data.low, data.temperature_unit) + if high_low_text: + segments.append(high_low_text + ".") + + feels_like_text = _format_feels_like(data.feels_like, data.temperature_unit) + if feels_like_text: + segments.append(f"Feels like {feels_like_text}.") + + wind_text = _format_wind(data.wind_speed, data.wind_unit, data.wind_direction) + if wind_text: + segments.append(f"Winds {wind_text}.") + + humidity_text = _format_percentage(data.humidity, data.humidity_unit) + if humidity_text: + segments.append(f"Humidity {humidity_text}.") + + precipitation_text = _format_probability(data.precipitation_probability) + if precipitation_text: + segments.append(f"Precipitation chance {precipitation_text}.") + + sunrise_text = _format_time_of_day(data.sunrise, data.timezone_abbreviation) + sunset_text = _format_time_of_day(data.sunset, data.timezone_abbreviation) + if sunrise_text and sunset_text: + segments.append(f"Sunrise at {sunrise_text} and sunset at {sunset_text}.") + elif sunrise_text: + segments.append(f"Sunrise at {sunrise_text}.") + elif sunset_text: + segments.append(f"Sunset at {sunset_text}.") + + if data.hourly: + upcoming: list[str] = [] + for forecast in list(data.hourly)[:4]: + hour_label = _format_hour_label(forecast.time, data.timezone_abbreviation) + temp_label = _format_temperature( + forecast.temperature, forecast.temperature_unit or data.temperature_unit + ) + condition_label = forecast.condition.lower() + upcoming.append(f"{hour_label}: {temp_label} {condition_label}") + if upcoming: + segments.append("Next hours " + ", ".join(upcoming) + ".") + + return " ".join(segment.strip() for segment in segments if segment).strip() + + +def _horizontal_scroller(items: Sequence[WidgetComponent]) -> WidgetComponent: + return Box( + direction="row", + wrap="nowrap", + gap=3, + width="100%", + justify="start", + align="stretch", + children=list(items), + ) + + +def _build_details_section(data: WeatherWidgetData) -> WidgetComponent | None: + wind_text = _format_wind(data.wind_speed, data.wind_unit, data.wind_direction) + humidity_text = _format_percentage(data.humidity, data.humidity_unit) + precipitation_text = _format_probability(data.precipitation_probability) + sunrise_text = _format_time_of_day(data.sunrise, data.timezone_abbreviation) + sunset_text = _format_time_of_day(data.sunset, data.timezone_abbreviation) + feels_like_text = _format_feels_like(data.feels_like, data.temperature_unit) + + chips = _compact( + [ + _detail_chip("Feels like", feels_like_text, "feels_like") if feels_like_text else None, + _detail_chip("Wind", wind_text, "wind") if wind_text else None, + _detail_chip("Humidity", humidity_text, "droplets") if humidity_text else None, + _detail_chip("Precipitation", precipitation_text, "umbrella") + if precipitation_text + else None, + _detail_chip("Sunrise", sunrise_text, "sunrise") if sunrise_text else None, + _detail_chip("Sunset", sunset_text, "sunset") if sunset_text else None, + ] + ) + + if not chips: + return None + + return Col( + gap=3, + children=[ + Text(value="Today's highlights", weight="semibold", size="sm"), + _horizontal_scroller(chips), + ], + ) + + +def _build_hourly_section(data: WeatherWidgetData) -> WidgetComponent | None: + if not data.hourly: + return None + + cards = [ + _hourly_chip(forecast, data.temperature_unit, data.timezone_abbreviation) + for forecast in data.hourly + ] + + if not cards: + return None + + return Col( + gap=3, + children=[ + Text(value="Next hours", weight="semibold", size="sm"), + _horizontal_scroller(cards), + ], + ) + + +def _detail_chip(label: str, value: str, icon: str) -> WidgetComponent: + return Box( + padding=3, + radius="xl", + background="surface-tertiary", + width=150, + minWidth=150, + maxWidth=150, + minHeight=100, + maxHeight=100, + flex="0 0 auto", + children=[ + Col( + align="stretch", + gap=2, + children=[ + Row( + gap=2, + align="center", + children=[ + Image(src=_detail_icon_src(icon), alt=label, size=28, fit="contain"), + Text(value=label, size="xs", weight="medium", color="tertiary"), + ], + ), + Row( + justify="center", + margin={"top": 4}, + children=[Text(value=value, weight="semibold", size="lg")], + ), + ], + ) + ], + ) + + +def _hourly_chip( + forecast: HourlyForecast, default_unit: str, timezone_abbreviation: str +) -> WidgetComponent: + time_label = _format_hour_label(forecast.time, timezone_abbreviation) + temperature_label = _format_temperature( + forecast.temperature, forecast.temperature_unit or default_unit + ) + + return Box( + padding=3, + radius="xl", + background="surface-tertiary", + width=100, + minWidth=100, + maxWidth=100, + minHeight=150, + maxHeight=150, + flex="0 0 auto", + children=[ + Col( + align="center", + gap=2, + children=_compact( + [ + Text(value=time_label, size="xs", color="tertiary", weight="medium"), + Image( + src=_weather_icon_src(forecast.icon), + alt=forecast.condition, + size=36, + fit="contain", + ), + Text(value=temperature_label, weight="semibold"), + Text(value=forecast.condition, size="xs", color="tertiary"), + ] + ), + ), + ], + ) + + +def _format_temperature(value: float | None, unit: str | None) -> str: + if value is None: + return "—" + try: + number = round(float(value)) + except (TypeError, ValueError): + return "—" + suffix = unit or "°" + return f"{number}{suffix}" + + +def _format_high_low(high: float | None, low: float | None, unit: str | None) -> str: + high_text = _format_temperature(high, unit) if high is not None else "" + low_text = _format_temperature(low, unit) if low is not None else "" + if high_text and low_text: + return f"High {high_text} • Low {low_text}" + if high_text: + return f"High {high_text}" + if low_text: + return f"Low {low_text}" + return "" + + +def _format_feels_like(value: float | None, unit: str | None) -> str: + if value is None: + return "" + return _format_temperature(value, unit) + + +def _format_wind(speed: float | None, unit: str | None, direction: float | None) -> str: + if speed is None and direction is None: + return "" + + parts: list[str] = [] + if speed is not None: + try: + speed_value = round(float(speed)) + except (TypeError, ValueError): + speed_value = None + if speed_value is not None: + parts.append(f"{speed_value}{f' {unit}' if unit else ''}".strip()) + + cardinal = _wind_direction_to_cardinal(direction) + if cardinal: + parts.append(cardinal) + + return " ".join(parts).strip() + + +def _format_percentage(value: float | None, unit: str | None) -> str: + if value is None: + return "" + try: + number = round(float(value)) + except (TypeError, ValueError): + return "" + suffix = unit or "%" + return f"{number}{suffix}" + + +def _format_probability(value: float | None) -> str: + if value is None: + return "" + try: + number = round(float(value)) + except (TypeError, ValueError): + return "" + return f"{number}%" + + +def _format_time_of_day(moment: datetime | None, tz_abbreviation: str) -> str: + if moment is None: + return "" + time_text = moment.strftime("%I:%M %p").lstrip("0") + tz = tz_abbreviation.strip() + return f"{time_text} {tz}".strip() + + +def _format_hour_label(moment: datetime | None, tz_abbreviation: str) -> str: + if moment is None: + return "—" + hour_text = moment.strftime("%I %p").lstrip("0") + return hour_text or moment.strftime("%H:%M") + + +def _format_updated_label( + moment: datetime | None, tz_abbreviation: str, *, short: bool = False +) -> str: + if moment is None: + return "" + + time_text = moment.strftime("%I:%M %p").lstrip("0") + tz = tz_abbreviation.strip() + if short: + return f"{time_text} {tz}".strip() + + date_text = moment.strftime("%b %d").replace(" 0", " ") + base = f"{date_text} · {time_text}" if date_text else time_text + return f"Updated {base} {tz}".strip() + + +def _wind_direction_to_cardinal(direction: float | None) -> str | None: + if direction is None: + return None + try: + degrees = float(direction) + except (TypeError, ValueError): + return None + directions = ["N", "NE", "E", "SE", "S", "SW", "W", "NW"] + index = int((degrees + 22.5) // 45) % len(directions) + return directions[index] + + +def _compact(items: Sequence[WidgetComponent | None]) -> list[WidgetComponent]: + return [item for item in items if item is not None] diff --git a/backend/Modules/ChatKit/tools.py b/backend/Modules/ChatKit/tools.py new file mode 100644 index 000000000..42233bf92 --- /dev/null +++ b/backend/Modules/ChatKit/tools.py @@ -0,0 +1,317 @@ + +import logging +import os +import json +import asyncio +from datetime import datetime +from pydantic import BaseModel +from typing import Annotated, Any, AsyncIterator, Final, Literal, List,TypedDict, AsyncGenerator +from agents import Agent, RunContextWrapper, Runner, function_tool +from chatkit.agents import ( + AgentContext, + ClientToolCall, + ThreadItemConverter, + stream_agent_response, + accumulate_text +) +from chatkit.widgets import * + +from .facts import Fact, fact_store +from .sample_widget import render_weather_widget, weather_widget_copy_text +from .weather import ( + WeatherLookupError, + retrieve_weather, +) +from .weather import ( + normalize_unit as normalize_temperature_unit, +) +from .FactAgentContext import FactAgentContext +from .utils import (_stream_saved_hidden, + _normalize_color_scheme, + CLIENT_THEME_TOOL_NAME, + + ) + +from .data_tools.data import * + + +diretorio_script = os.path.dirname(os.path.abspath(__file__)) +logger = logging.getLogger(__name__) +logger.setLevel(logging.INFO) +formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s') +os.makedirs(os.path.join(diretorio_script, '../', '../', 'Logs'), exist_ok=True) +file_handler = logging.FileHandler(os.path.join(diretorio_script, '../', '../', 'Logs', 'tools.log')) +file_handler.setFormatter(formatter) +console_handler = logging.StreamHandler() +console_handler.setFormatter(formatter) +logger.addHandler(file_handler) +logger.addHandler(console_handler) + + + +@function_tool(description_override="Record a fact shared by the user so it is saved immediately.") +async def save_fact( + ctx: RunContextWrapper[FactAgentContext], + fact: str, +) -> dict[str, str] | None: + try: + saved = await fact_store.create(text=fact) + confirmed = await fact_store.mark_saved(saved.id) + if confirmed is None: + raise ValueError("Failed to save fact") + await _stream_saved_hidden(ctx, confirmed) + ctx.context.client_tool_call = ClientToolCall( + name="record_fact", + arguments={"fact_id": confirmed.id, "fact_text": confirmed.text}, + ) + print(f"FACT SAVED: {confirmed}") + return {"fact_id": confirmed.id, "status": "saved"} + except Exception: + logging.exception("Failed to save fact") + return None + + +@function_tool( + description_override="Switch the chat interface between light and dark color schemes." +) +async def switch_theme( + ctx: RunContextWrapper[FactAgentContext], + theme: str, +) -> dict[str, str] | None: + logging.debug(f"Switching theme to {theme}") + try: + requested = _normalize_color_scheme(theme) + ctx.context.client_tool_call = ClientToolCall( + name=CLIENT_THEME_TOOL_NAME, + arguments={"theme": requested}, + ) + return {"theme": requested} + except Exception: + logging.exception("Failed to switch theme") + return None + + +@function_tool( + description_override="Look up the current weather and upcoming forecast for a location and render an interactive weather dashboard." +) +async def get_weather( + ctx: RunContextWrapper[FactAgentContext], + location: str, + unit: Literal["celsius", "fahrenheit"] | str | None = None, +) -> dict[str, str | None]: + print("[WeatherTool] tool invoked", {"location": location, "unit": unit}) + try: + normalized_unit = normalize_temperature_unit(unit) + except WeatherLookupError as exc: + print("[WeatherTool] invalid unit", {"error": str(exc)}) + raise ValueError(str(exc)) from exc + + try: + data = await retrieve_weather(location, normalized_unit) + except WeatherLookupError as exc: + print("[WeatherTool] lookup failed", {"error": str(exc)}) + raise ValueError(str(exc)) from exc + + print( + "[WeatherTool] lookup succeeded", + { + "location": data.location, + "temperature": data.temperature, + "unit": data.temperature_unit, + }, + ) + try: + widget = render_weather_widget(data) + copy_text = weather_widget_copy_text(data) + payload: Any + try: + payload = widget.model_dump() + except AttributeError: + payload = widget + print("[WeatherTool] widget payload", payload) + except Exception as exc: # noqa: BLE001 + print("[WeatherTool] widget build failed", {"error": str(exc)}) + raise ValueError("Weather data is currently unavailable for that location.") from exc + + print("[WeatherTool] streaming widget") + try: + await ctx.context.stream_widget(widget, copy_text=copy_text) + except Exception as exc: # noqa: BLE001 + print("[WeatherTool] widget stream failed", {"error": str(exc)}) + raise ValueError("Weather data is currently unavailable for that location.") from exc + + print("[WeatherTool] widget streamed") + + observed = data.observation_time.isoformat() if data.observation_time else None + + return { + "location": data.location, + "unit": normalized_unit, + "observed_at": observed, + } + +@function_tool( + description_override="Retorna o número de tarefas ou operações concluídas por um agente (ex: 'pr_ai_ci', 'gcl_electron') em um período. Use para responder perguntas sobre produtividade ou status de execução." +) +async def get_agent_activity_count( + ctx: RunContextWrapper[FactAgentContext], + agent_name: str, + time_range: Literal["daily", "weekly", "monthly", "total"] | str, +) -> str: + """ + Simula a consulta ao banco de dados para obter a contagem de atividades do agente. + Na implementação real, você usaria o `ctx.context.request_context` para obter o + ID do usuário ou credenciais e executaria uma consulta ao seu sistema de logs. + """ + + # Simulação de dados de resposta para diferentes agentes e períodos. + # O LLM receberá esta string e a usará para formular a resposta final. + logger.info("get_agent_activity_count called") + agent_name = agent_name.lower().strip() + time_range = time_range.lower().strip() + + if agent_name == "pr_ai_ci": + if time_range == "daily": + return "O agente PR AI concluiu 12 execuções de Pull Request nas últimas 24 horas. 95% dessas execuções resultaram em aprovação automática da mensagem de commit." + if time_range == "weekly": + return "O agente PR AI concluiu 78 execuções nesta semana, gerando uma economia de 4 horas no tempo de revisão manual das mensagens." + if time_range == "monthly": + return "O agente PR AI processou 310 Pull Requests neste mês." + if time_range == "total": + return "O agente PR AI já processou 4.582 Pull Requests desde o lançamento do PR AI." + + if agent_name == "gcl_electron": + if time_range == "daily": + return "O Git Context Layer (GCL) processou 41 commits na camada de pré-staging hoje, com uma taxa de precisão de 98% na sugestão de mensagens de commit." + if time_range == "weekly": + return "O GCL foi invocado 215 vezes na última semana." + + return f"Não foram encontrados dados de atividade para o agente '{agent_name}' no período '{time_range}'. Certifique-se de que o nome do agente é válido (ex: pr_ai_ci ou gcl_electron)." + + +@function_tool( + description_override="Recupera o valor atual de uma configuração de limite (threshold) do GCL (Git Context Layer). Use para responder perguntas sobre os limites operacionais de linhas ou arquivos." +) +async def get_gcl_threshold_config( + ctx: RunContextWrapper[FactAgentContext], + setting_key: Annotated[ + str, + "A chave da configuração do limite que o usuário está perguntando. Deve ser 'lines_threshold' para limite de linhas ou 'files_threshold' para limite de arquivos.", + ], +) -> str: + """ + Simula a recuperação de uma configuração de threshold do GCL. + """ + logger.info(f"get_gcl_threshold_config called for key: {setting_key}") + key = setting_key.lower().strip() + + if key == "lines_threshold": + # Limite atual simulado: 500 linhas de mudança + return "O limite máximo de linhas para a análise do GCL (lines_threshold) está configurado como 500. Commits que excedem este valor são ignorados ou sinalizados para revisão manual." + + if key == "files_threshold": + # Limite atual simulado: 10 arquivos + return "O limite máximo de arquivos (files_threshold) para uma única execução do GCL é de 10. Commits que modificam mais do que 10 arquivos não disparam o processo de sugestão automática." + + return f"A chave de configuração '{setting_key}' não é reconhecida. As chaves válidas são 'lines_threshold' e 'files_threshold'." + + +@function_tool(description_override="Display a dynamic chart widget to the user.") +async def chart_generator(ctx: RunContextWrapper[AgentContext], data: ChartData) -> None: + """ + Gera um gráfico dinâmico e customizável com base nos dados e configurações fornecidas. + """ + logger = logging.getLogger(__name__) + logger.info("Iniciando chart_generator com dados do modelo ChartData.") + + async def widget_generator() -> AsyncGenerator: + # Cria as séries dinamicamente com base no modelo recebido + chart_series = [] + for s in data.series: + if s.type == "bar": + chart_series.append(BarSeries(dataKey=s.dataKey, label=s.label)) + elif s.type == "line": + chart_series.append(LineSeries(dataKey=s.dataKey, label=s.label)) + else: + logger.warning(f"Tipo de série desconhecido: {s.type}") + + # Estado inicial (gráfico vazio) + yield Card( + children=[ + Title(value=data.title, size="xl"), + Chart(id=data.id, data=[], series=chart_series, xAxis=data.xAxis), + ] + ) + + progressive_data = [] + for i, point in enumerate(data.points): + progressive_data.append(point.dict()) + logger.debug(f"Atualizando gráfico com novo ponto: {point.dict()}") + + await asyncio.sleep(0.8) # streaming gradual (remova se quiser render imediato) + + yield Card( + children=[ + Title(value=data.title, size="xl"), + Chart( + id=data.id, + data=progressive_data, + series=chart_series, + xAxis=data.xAxis, + showLegend=True, + showTooltip=True, + height=260, + ), + ] + ) + + logger.info("Finalizando chart_generator com sucesso.") + + await ctx.context.stream_widget(widget_generator()) + + +@function_tool(description_override="Display a sample widget to the user.") +async def sample_widget(ctx: RunContextWrapper[AgentContext]) -> None: + short_title = Agent( + model="gpt-4.1-mini", + name="short title conversation", + instructions="voce tem uma responsabilidade, crie titulos curtos para as conversas", + ) + + description_text = Runner.run_streamed( + short_title, "ChatKit is the best thing ever" + ) + async def widget_generator() -> AsyncGenerator[WidgetComponent, None]: + text_widget_updates = accumulate_text( + description_text.stream_events(), + Text( + id="description", + value="", + streaming=True + ), + ) + + async for text_widget in text_widget_updates: + yield Card( + children=[text_widget] + ) + + await ctx.context.stream_widget(widget_generator()) + + + + + + + + + + + + + + + + + + diff --git a/backend/Modules/ChatKit/utils.py b/backend/Modules/ChatKit/utils.py new file mode 100644 index 000000000..552760ffa --- /dev/null +++ b/backend/Modules/ChatKit/utils.py @@ -0,0 +1,88 @@ +from __future__ import annotations + + +from datetime import datetime +from typing import Annotated, Any, AsyncIterator, Final, Literal +from uuid import uuid4 + +from agents import Agent, RunContextWrapper, Runner, function_tool +from chatkit.server import ChatKitServer, ThreadItemDoneEvent +from chatkit.types import ( + Attachment, + ClientToolCallItem, + HiddenContextItem, + ThreadItem, + ThreadMetadata, + ThreadStreamEvent, + UserMessageItem, +) +from .facts import Fact, fact_store +from .FactAgentContext import FactAgentContext + + +SUPPORTED_COLOR_SCHEMES: Final[frozenset[str]] = frozenset({"light", "dark"}) +CLIENT_THEME_TOOL_NAME: Final[str] = "switch_theme" + + +def _normalize_color_scheme(value: str) -> str: + normalized = str(value).strip().lower() + if normalized in SUPPORTED_COLOR_SCHEMES: + return normalized + if "dark" in normalized: + return "dark" + if "light" in normalized: + return "light" + raise ValueError("Theme must be either 'light' or 'dark'.") + + +def _gen_id(prefix: str) -> str: + return f"{prefix}_{uuid4().hex[:8]}" + + +def _is_tool_completion_item(item: Any) -> bool: + return isinstance(item, ClientToolCallItem) + + +def _thread_item_done(thread_id: str, item: Any) -> Any: + if ThreadItemDoneEvent is None: + raise RuntimeError("ThreadItemDoneEvent type is unavailable") + + attempts: tuple[dict[str, Any], ...] = ( + {"thread_id": thread_id, "item": item}, + {"threadId": thread_id, "item": item}, + {"item": item}, + ) + + for kwargs in attempts: + try: + return ThreadItemDoneEvent(**kwargs) + except TypeError: + continue + + return ThreadItemDoneEvent(item=item) + + + +async def _stream_saved_hidden(ctx: RunContextWrapper[FactAgentContext], fact: Fact) -> None: + await ctx.context.stream( + ThreadItemDoneEvent( + item=HiddenContextItem( + id=_gen_id("msg"), + thread_id=ctx.context.thread.id, + created_at=datetime.now(), + content=( + f'{fact.text}' + ), + ), + ) + ) + + + +def _user_message_text(item: UserMessageItem) -> str: + parts: list[str] = [] + for part in item.content: + text = getattr(part, "text", None) + if text: + parts.append(text) + return " ".join(parts).strip() \ No newline at end of file diff --git a/backend/Modules/ChatKit/weather.py b/backend/Modules/ChatKit/weather.py new file mode 100644 index 000000000..06fb31456 --- /dev/null +++ b/backend/Modules/ChatKit/weather.py @@ -0,0 +1,498 @@ +from __future__ import annotations + +from dataclasses import dataclass +from datetime import datetime, timezone +from typing import Any, Literal, Sequence +from zoneinfo import ZoneInfo, ZoneInfoNotFoundError + +import httpx + +from .sample_widget import HourlyForecast, WeatherWidgetData + +USER_AGENT = "ChatKitWeatherTool/1.0 (+https://openai.com/)" +DEBUG_PREFIX = "[WeatherDebug]" +GEOCODE_URL = "https://nominatim.openstreetmap.org/search" +OPEN_METEO_GEOCODE_URL = "https://geocoding-api.open-meteo.com/v1/search" +WEATHER_URL = "https://api.open-meteo.com/v1/forecast" +CURRENT_FIELDS = ( + "temperature_2m,apparent_temperature,relative_humidity_2m," + "is_day,wind_speed_10m,wind_direction_10m,weather_code" +) +HOURLY_FIELDS = "temperature_2m,weather_code" +DAILY_FIELDS = ( + "weather_code,temperature_2m_max,temperature_2m_min,sunrise,sunset," + "precipitation_probability_max" +) +DEFAULT_TIMEOUT = 20.0 +HOURLY_SEGMENTS = 6 + + +class WeatherLookupError(RuntimeError): + """Raised when the weather service could not satisfy a request.""" + + +def _debug(message: str, *, extra: dict[str, Any] | None = None) -> None: + payload = f"{DEBUG_PREFIX} {message}" + if extra: + payload = f"{payload} | {extra}" + print(payload) + + +@dataclass(frozen=True) +class GeocodedLocation: + latitude: float + longitude: float + label: str + raw: dict[str, Any] + + +WEATHER_CODE_LOOKUP: dict[int, tuple[str, str]] = {} + +DEFAULT_ICON_KEY = "cloud" + + +def _register_weather_codes(codes: Sequence[int], label: str, icon: str) -> None: + for code in codes: + WEATHER_CODE_LOOKUP[int(code)] = (label, icon) + + +_register_weather_codes([0], "Clear sky", "sun") +_register_weather_codes([1], "Mostly sunny", "cloud-sun") +_register_weather_codes([2], "Partly cloudy", "cloud-sun") +_register_weather_codes([3], "Overcast", "cloud") +_register_weather_codes([45, 48], "Foggy", "cloud-fog") +_register_weather_codes([51, 53, 55, 56, 57], "Light drizzle", "cloud-drizzle") +_register_weather_codes([61, 63, 65], "Rain", "cloud-rain") +_register_weather_codes([66, 67], "Icy rain", "cloud-rain") +_register_weather_codes([71, 73, 75, 77], "Snow", "cloud-snow") +_register_weather_codes([80, 81, 82], "Rain showers", "cloud-rain") +_register_weather_codes([85, 86], "Snow showers", "cloud-snow") +_register_weather_codes([95, 96, 99], "Thunderstorm", "cloud-lightning") + + +def normalize_unit(value: str | None) -> Literal["celsius", "fahrenheit"]: + """Normalize user-supplied units into the Open-Meteo expected values.""" + + if value is None: + return "fahrenheit" + + normalized = value.strip().lower() + if normalized in {"c", "cel", "celsius", "metric", "°c"}: + return "celsius" + if normalized in {"f", "fahr", "fahrenheit", "imperial", "°f"}: + return "fahrenheit" + raise WeatherLookupError("Units must be either 'celsius' or 'fahrenheit'.") + + +async def retrieve_weather(query: str, unit: str | None = None) -> WeatherWidgetData: + """Fetch and transform weather data for the provided location.""" + + location_query = query.strip() + _debug("retrieve_weather invoked", extra={"query": location_query, "unit": unit}) + if not location_query: + raise WeatherLookupError("Please provide a city, address, or landmark to look up.") + + normalized_unit = normalize_unit(unit) + + geocoded: GeocodedLocation | None = None + forecast: dict[str, Any] | None = None + try: + async with httpx.AsyncClient( + timeout=DEFAULT_TIMEOUT, + follow_redirects=True, + headers={"User-Agent": USER_AGENT}, + trust_env=True, + ) as client: + geocoded = await _geocode_location(client, location_query) + _debug( + "geocode lookup succeeded", + extra={ + "label": geocoded.label, + "latitude": geocoded.latitude, + "longitude": geocoded.longitude, + }, + ) + _debug("requesting forecast", extra={"unit": normalized_unit}) + forecast = await _fetch_weather_forecast(client, geocoded, normalized_unit) + forecast_keys = sorted(forecast.keys()) if isinstance(forecast, dict) else "unexpected" + has_current = bool(forecast.get("current")) if isinstance(forecast, dict) else False + _debug( + "forecast received", + extra={ + "keys": forecast_keys, + "has_current": has_current, + }, + ) + except httpx.HTTPStatusError as exc: + _debug( + "http status error during weather lookup", + extra={ + "status_code": getattr(exc.response, "status_code", None), + "query": location_query, + }, + ) + raise WeatherLookupError("The weather service returned an error response.") from exc + except httpx.RequestError as exc: + _debug( + "request error during weather lookup", + extra={"error": str(exc), "query": location_query}, + ) + raise WeatherLookupError("Unable to contact the weather service at the moment.") from exc + + if geocoded is None or forecast is None: + _debug( + "weather lookup completed without data", + extra={"geocoded": geocoded, "forecast": forecast is not None}, + ) + raise WeatherLookupError("Weather data is currently unavailable for that location.") + + try: + _debug( + "building widget data", + extra={ + "location": geocoded.label if geocoded else None, + "unit": normalized_unit, + }, + ) + widget_data = _build_widget_data(geocoded, forecast, normalized_unit) + except Exception as exc: # noqa: BLE001 + _debug( + "failed to build widget data", + extra={ + "location": geocoded.label if geocoded else None, + "error": str(exc), + }, + ) + raise WeatherLookupError( + "Weather data is currently unavailable for that location." + ) from exc + if widget_data.temperature is None: + _debug( + "weather data missing temperature", + extra={"location": geocoded.label if geocoded else None}, + ) + raise WeatherLookupError("Weather data is currently unavailable for that location.") + + _debug( + "weather data ready", + extra={ + "location": widget_data.location, + "temperature": widget_data.temperature, + "unit": widget_data.temperature_unit, + }, + ) + + return widget_data + + +async def _geocode_location(client: httpx.AsyncClient, query: str) -> GeocodedLocation: + providers = ( + ("nominatim", _geocode_with_nominatim), + ("open-meteo", _geocode_with_open_meteo), + ) + last_error: WeatherLookupError | None = None + + for provider_name, provider in providers: + try: + location = await provider(client, query) + return location + except httpx.HTTPStatusError as exc: + err = WeatherLookupError("The geocoding service returned an error response.") + err.__cause__ = exc + last_error = err + except httpx.RequestError as exc: + _debug( + "geocode provider request error", + extra={"provider": provider_name, "error": str(exc)}, + ) + err = WeatherLookupError("Unable to contact the geocoding service at the moment.") + err.__cause__ = exc + last_error = err + except WeatherLookupError as exc: + _debug( + "geocode provider failed", + extra={"provider": provider_name, "reason": str(exc)}, + ) + last_error = exc + + if last_error is not None: + raise last_error + + raise WeatherLookupError("I couldn't find that location. Try another nearby city or landmark.") + + +async def _geocode_with_nominatim(client: httpx.AsyncClient, query: str) -> GeocodedLocation: + response = await client.get( + GEOCODE_URL, + params={ + "q": query, + "format": "json", + "limit": 1, + "addressdetails": 1, + }, + ) + response.raise_for_status() + payload = response.json() + if not payload: + raise WeatherLookupError( + "I couldn't find that location. Try another nearby city or landmark." + ) + + first = payload[0] + try: + latitude = float(first["lat"]) + longitude = float(first["lon"]) + except (KeyError, TypeError, ValueError) as exc: + raise WeatherLookupError( + "The location data returned from the geocoder was incomplete." + ) from exc + + label = _format_location_label(first) + return GeocodedLocation(latitude=latitude, longitude=longitude, label=label, raw=first) + + +async def _geocode_with_open_meteo(client: httpx.AsyncClient, query: str) -> GeocodedLocation: + response = await client.get( + OPEN_METEO_GEOCODE_URL, + params={"name": query, "count": 1, "language": "en", "format": "json"}, + ) + response.raise_for_status() + payload = response.json() + results = payload.get("results") if isinstance(payload, dict) else None + if not results: + raise WeatherLookupError( + "I couldn't find that location. Try another nearby city or landmark." + ) + + first = results[0] + try: + latitude = float(first["latitude"]) + longitude = float(first["longitude"]) + except (KeyError, TypeError, ValueError) as exc: + raise WeatherLookupError( + "The location data returned from the geocoder was incomplete." + ) from exc + + label = _format_open_meteo_label(first) + return GeocodedLocation(latitude=latitude, longitude=longitude, label=label, raw=first) + + +async def _fetch_weather_forecast( + client: httpx.AsyncClient, + location: GeocodedLocation, + unit: Literal["celsius", "fahrenheit"], +) -> dict[str, Any]: + params: dict[str, str | int | float | bool | None] = { + "latitude": location.latitude, + "longitude": location.longitude, + "current": CURRENT_FIELDS, + "hourly": HOURLY_FIELDS, + "daily": DAILY_FIELDS, + "temperature_unit": unit, + "windspeed_unit": "mph" if unit == "fahrenheit" else "kmh", + "timezone": "auto", + } + + response = await client.get(WEATHER_URL, params=params) + response.raise_for_status() + return response.json() + + +def _build_widget_data( + location: GeocodedLocation, + forecast: dict[str, Any], + unit: Literal["celsius", "fahrenheit"], +) -> WeatherWidgetData: + tz = _resolve_timezone(forecast.get("timezone")) + tz_abbreviation = forecast.get("timezone_abbreviation") or _infer_timezone_abbreviation(tz) + + current = forecast.get("current") or {} + current_units = forecast.get("current_units") or {} + daily = forecast.get("daily") or {} + hourly = forecast.get("hourly") or {} + hourly_units = forecast.get("hourly_units") or {} + + observation_time = _parse_time(current.get("time"), tz) + temperature = _to_float(current.get("temperature_2m")) + feels_like = _to_float(current.get("apparent_temperature")) + humidity = _to_float(current.get("relative_humidity_2m")) + wind_speed = _to_float(current.get("wind_speed_10m")) + wind_direction = _to_float(current.get("wind_direction_10m")) + + weather_code = current.get("weather_code") + condition, icon = _weather_code_info(weather_code) + + daily_high = _to_float(_first_value(daily.get("temperature_2m_max"))) + daily_low = _to_float(_first_value(daily.get("temperature_2m_min"))) + precipitation = _to_float(_first_value(daily.get("precipitation_probability_max"))) + sunrise = _parse_time(_first_value(daily.get("sunrise")), tz) + sunset = _parse_time(_first_value(daily.get("sunset")), tz) + + hourly_forecasts = _build_hourly_forecasts( + hourly, + hourly_units, + tz, + observation_time, + ) + + temperature_unit = current_units.get("temperature_2m") or ( + "°F" if unit == "fahrenheit" else "°C" + ) + + return WeatherWidgetData( + location=location.label, + observation_time=observation_time, + timezone_abbreviation=tz_abbreviation or "", + temperature=temperature, + temperature_unit=temperature_unit, + condition=condition, + condition_icon=icon, + feels_like=feels_like, + high=daily_high, + low=daily_low, + wind_speed=wind_speed, + wind_direction=wind_direction, + wind_unit=current_units.get("wind_speed_10m") + or ("mph" if unit == "fahrenheit" else "km/h"), + humidity=humidity, + humidity_unit=current_units.get("relative_humidity_2m") or "%", + precipitation_probability=precipitation, + sunrise=sunrise, + sunset=sunset, + hourly=tuple(hourly_forecasts), + ) + + +def _build_hourly_forecasts( + hourly: dict[str, Any], + hourly_units: dict[str, Any], + tz: ZoneInfo | None, + observation_time: datetime | None, +) -> list[HourlyForecast]: + times = hourly.get("time") or [] + temperatures = hourly.get("temperature_2m") or [] + codes = hourly.get("weather_code") or [] + unit = hourly_units.get("temperature_2m") or "°" + + forecasts: list[HourlyForecast] = [] + for time_str, temp, code in zip(times, temperatures, codes): + moment = _parse_time(time_str, tz) + if observation_time and moment and moment < observation_time: + continue + condition, icon = _weather_code_info(code) + forecasts.append( + HourlyForecast( + time=moment, + temperature=_to_float(temp), + temperature_unit=unit, + condition=condition, + icon=icon, + ) + ) + if len(forecasts) >= HOURLY_SEGMENTS: + break + return forecasts + + +def _weather_code_info(code: Any) -> tuple[str, str]: + try: + numeric = int(code) + except (TypeError, ValueError): + condition, icon_key = "Current conditions", DEFAULT_ICON_KEY + else: + condition, icon_key = WEATHER_CODE_LOOKUP.get( + numeric, ("Current conditions", DEFAULT_ICON_KEY) + ) + + return condition, icon_key + + +def _resolve_timezone(name: str | None) -> ZoneInfo | None: + if not name: + return None + try: + return ZoneInfo(name) + except ZoneInfoNotFoundError: + return None + + +def _infer_timezone_abbreviation(tz: ZoneInfo | None) -> str: + if tz is None: + return "" + now = datetime.now(tz) + return now.tzname() or "" + + +def _parse_time(value: Any, tz: ZoneInfo | None) -> datetime | None: + if not value: + return None + try: + text = str(value) + if text.endswith("Z"): + text = text.replace("Z", "+00:00") + moment = datetime.fromisoformat(text) + except (TypeError, ValueError): + return None + + if moment.tzinfo is None: + moment = moment.replace(tzinfo=timezone.utc) + if tz is not None: + moment = moment.astimezone(tz) + return moment + + +def _to_float(value: Any) -> float | None: + if value is None: + return None + try: + return float(value) + except (TypeError, ValueError): + return None + + +def _first_value(values: Any) -> Any: + if isinstance(values, (list, tuple)) and values: + return values[0] + return None + + +def _format_location_label(result: dict[str, Any]) -> str: + address = result.get("address") or {} + city = ( + address.get("city") + or address.get("town") + or address.get("village") + or address.get("hamlet") + or address.get("municipality") + or address.get("county") + ) + region = address.get("state") or address.get("province") or address.get("state_district") + country = address.get("country") + + parts = [part for part in (city, region, country) if part] + if parts: + if len(parts) > 2: + return ", ".join(parts[:2]) + return ", ".join(parts) + + display = result.get("display_name") + if isinstance(display, str) and display: + pieces = [segment.strip() for segment in display.split(",") if segment.strip()] + if pieces: + return ", ".join(pieces[:2]) + + return "Selected location" + + +def _format_open_meteo_label(result: dict[str, Any]) -> str: + name = result.get("name") + admin1 = result.get("admin1") or result.get("admin2") + country = result.get("country") + + parts = [part for part in (name, admin1, country) if part] + if parts: + if len(parts) > 2: + return ", ".join(parts[:2]) + return ", ".join(parts) + + return "Selected location" diff --git a/Back-End/Modules/Geters/logs.py b/backend/Modules/Geters/logs.py similarity index 100% rename from Back-End/Modules/Geters/logs.py rename to backend/Modules/Geters/logs.py diff --git a/backend/Modules/Geters/next_task.py b/backend/Modules/Geters/next_task.py new file mode 100644 index 000000000..311a1cb07 --- /dev/null +++ b/backend/Modules/Geters/next_task.py @@ -0,0 +1,17 @@ +from Models.postgreSQL import db +from Models.postgreSQL import BackendTask, TaskStatus + +def get_next_task(): + """ + Seleciona a próxima tarefa pendente baseado em prioridade + """ + task = ( + BackendTask.query + .filter_by(status=TaskStatus.PENDING.value) + .order_by(BackendTask.priority.desc()) + .first() + ) + if task: + task.status = TaskStatus.SHEDULED.value + db.session.commit() + return task diff --git a/Back-End/Modules/Geters/plans_data.py b/backend/Modules/Geters/plans_data.py similarity index 80% rename from Back-End/Modules/Geters/plans_data.py rename to backend/Modules/Geters/plans_data.py index 5559e2d8b..eea9db44b 100644 --- a/Back-End/Modules/Geters/plans_data.py +++ b/backend/Modules/Geters/plans_data.py @@ -12,27 +12,29 @@ def get_plans_data(): 'payment_link': '' }, "Premium": { - 'price': 15, - 'limit_monthly_tokens': 3000000, + 'price': 5, + 'limit_monthly_tokens': 1000000, 'features': [ 'PR Premium automation', + '1 million monthly tokens', '20 - 40 PRs/mo', 'Logs advanced', 'API access' ], - 'payment_link': 'teste 123' + 'payment_link': '' }, "Pro": { 'price': 29, 'limit_monthly_tokens': 10000000, 'features': [ 'Everything from Premium', + '10 million monthly tokens', '60 - 90 PRs/mo', 'Git Context Layer', 'Auto-Commit Intelligence', 'Smart Threshold Detection', 'Context-Aware Messages' ], - 'payment_link': 'teste 123' + 'payment_link': '' } } \ No newline at end of file diff --git a/Back-End/Modules/Geters/pr_diff.py b/backend/Modules/Geters/pr_diff.py similarity index 100% rename from Back-End/Modules/Geters/pr_diff.py rename to backend/Modules/Geters/pr_diff.py diff --git a/Back-End/Modules/Geters/systemsettings.py b/backend/Modules/Geters/systemsettings.py similarity index 80% rename from Back-End/Modules/Geters/systemsettings.py rename to backend/Modules/Geters/systemsettings.py index 02ac64147..c5f044ac8 100644 --- a/Back-End/Modules/Geters/systemsettings.py +++ b/backend/Modules/Geters/systemsettings.py @@ -15,8 +15,6 @@ def get_tokens(numeric_user_id, log_action, logs_collection, SystemSettings, db) db.session.rollback() GITHUB_TOKEN = settings.github_token - OPENAI_API_KEY = settings.openai_api_key - GITHUB_SECRET = settings.github_secret REPOSITORY_NAME = settings.repository_name - return GITHUB_TOKEN, OPENAI_API_KEY, GITHUB_SECRET, REPOSITORY_NAME + return GITHUB_TOKEN, REPOSITORY_NAME diff --git a/Back-End/Modules/Geters/user_by_access_token.py b/backend/Modules/Geters/user_by_access_token.py similarity index 100% rename from Back-End/Modules/Geters/user_by_access_token.py rename to backend/Modules/Geters/user_by_access_token.py diff --git a/Back-End/Modules/Geters/user_by_email.py b/backend/Modules/Geters/user_by_email.py similarity index 100% rename from Back-End/Modules/Geters/user_by_email.py rename to backend/Modules/Geters/user_by_email.py diff --git a/backend/Modules/Helpers/EgetTools.py b/backend/Modules/Helpers/EgetTools.py new file mode 100644 index 000000000..3580fd6fe --- /dev/null +++ b/backend/Modules/Helpers/EgetTools.py @@ -0,0 +1,87 @@ +import requests +import json +import time +import os +import zipfile +import importlib + + + +def download_tools_zip(tool_ids: list, extract_dir = os.path.join(os.path.dirname(__file__), 'Functions')) -> bool: + """ + Faz o download do ZIP contendo os arquivos .py de múltiplas ferramentas. + Após o download, extrai para a pasta 'Functions'. + + :param tool_ids: Lista com os IDs das ferramentas. + :param output_path: Caminho de saída do arquivo ZIP. + :param base_url: URL base da API. + :return: True se tudo foi bem-sucedido, False caso contrário. + """ + for i in range(10): + + output_path = 'tools_code.zip' + base_url = 'https://softwareai-library-hub.site' + joined_ids = ','.join(tool_ids) + url = f'{base_url}/api/tool-code/{joined_ids}' + + try: + response = requests.get(url) + + if response.status_code == 200: + with open(output_path, 'wb') as f: + f.write(response.content) + + # Extrai o ZIP para a pasta Functions + + os.makedirs(extract_dir, exist_ok=True) + + with zipfile.ZipFile(output_path, 'r') as zip_ref: + zip_ref.extractall(extract_dir) + + return True + + else: + print(f"Erro {response.status_code}: {response.json()}") + time.sleep(5) + continue + + except Exception as e: + print(f"Erro durante o download ou extração: {e}") + time.sleep(5) + continue + +def import_tool(tool_name: str, base_dir = os.path.join(os.path.dirname(__file__), "../", "../",'Functions')): + """ + Importa dinamicamente o módulo da ferramenta e retorna o objeto decorado com @function_tool. + """ + module_path = os.path.join(base_dir, tool_name, f"{tool_name}.py") + spec = importlib.util.spec_from_file_location(tool_name, module_path) + if spec and spec.loader: + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + + # Procura por função decorada com @function_tool (tem atributo .name) + for attr_name in dir(module): + attr = getattr(module, attr_name) + if hasattr(attr, "name") and hasattr(attr, "description"): + return attr + + raise ImportError(f"Nenhuma função decorada com @function_tool encontrada em {tool_name}.py") + else: + raise ImportError(f"Não foi possível importar a ferramenta: {tool_name}") + +def Egetoolsv2(functionstools = ['autosave']): + + # # Define diretório base como o do script + # os.chdir(os.path.dirname(__file__)) + + # Lista de tools que você deseja baixar + tools = functionstools + + download_tools_zip(tools, extract_dir = os.path.join(os.path.dirname(__file__), "../", "../",'Functions')) + + os.remove("tools_code.zip") + + # Importa dinamicamente cada ferramenta + imported_tools = [import_tool(tool) for tool in tools] + return imported_tools \ No newline at end of file diff --git a/Back-End/Modules/Helpers/estimate_tokens.py b/backend/Modules/Helpers/estimate_tokens.py similarity index 100% rename from Back-End/Modules/Helpers/estimate_tokens.py rename to backend/Modules/Helpers/estimate_tokens.py diff --git a/backend/Modules/Resolvers/generate_invoice_pdf.py b/backend/Modules/Resolvers/generate_invoice_pdf.py new file mode 100644 index 000000000..846844e0a --- /dev/null +++ b/backend/Modules/Resolvers/generate_invoice_pdf.py @@ -0,0 +1,34 @@ +from reportlab.lib.pagesizes import A4 +from reportlab.pdfgen import canvas +import os +import json + +def generate_invoice_pdf(invoice, output_dir="../../Invoices"): + pdf_filename = f"invoice_{invoice.id}.pdf" + pdf_path = os.path.join(output_dir, pdf_filename) + + c = canvas.Canvas(pdf_path, pagesize=A4) + width, height = A4 + + c.setFont("Helvetica-Bold", 16) + c.drawString(50, height - 50, "INVOICE") + + c.setFont("Helvetica", 12) + c.drawString(50, height - 100, f"Invoice Number: {invoice.number}") + c.drawString(50, height - 120, f"Date: {invoice.date.strftime('%Y-%m-%d')}") + c.drawString(50, height - 140, f"User ID: {invoice.user_id}") + c.drawString(50, height - 160, f"Plan: {invoice.plan_name}") + + c.drawString(50, height - 200, "Items:") + y = height - 220 + lines = json.loads(invoice.lines) if invoice.lines else [] + for line in lines: + c.drawString(60, y, f"{line['description']} x {line['qty']} - ${line['price']:.2f}") + y -= 20 + + c.drawString(50, y - 20, f"Total Amount: ${float(invoice.amount):.2f} {invoice.currency}") + + c.showPage() + c.save() + print(f"pdf_path {pdf_path}") + return pdf_path diff --git a/Back-End/Modules/Resolvers/git_contex_layer_process.py b/backend/Modules/Resolvers/git_contex_layer_process.py similarity index 100% rename from Back-End/Modules/Resolvers/git_contex_layer_process.py rename to backend/Modules/Resolvers/git_contex_layer_process.py diff --git a/Back-End/Modules/Resolvers/github_app_auth.py b/backend/Modules/Resolvers/github_app_auth.py similarity index 100% rename from Back-End/Modules/Resolvers/github_app_auth.py rename to backend/Modules/Resolvers/github_app_auth.py diff --git a/Back-End/Modules/Resolvers/pr_process.py b/backend/Modules/Resolvers/pr_process.py similarity index 100% rename from Back-End/Modules/Resolvers/pr_process.py rename to backend/Modules/Resolvers/pr_process.py diff --git a/backend/Modules/Resolvers/send_email.py b/backend/Modules/Resolvers/send_email.py new file mode 100644 index 000000000..e5edd0625 --- /dev/null +++ b/backend/Modules/Resolvers/send_email.py @@ -0,0 +1,171 @@ + + + + + +import os +from dotenv import load_dotenv +import smtplib +from email.mime.multipart import MIMEMultipart +from email.mime.text import MIMEText +import logging +import os + +diretorio_script = os.path.dirname(os.path.abspath(__file__)) +logger = logging.getLogger(__name__) +logger.setLevel(logging.INFO) +formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s') +os.makedirs(os.path.join(diretorio_script, "../", '../', 'Logs'), exist_ok=True) +file_handler = logging.FileHandler(os.path.join(diretorio_script, '../',"../", 'Logs', 'send_email.log')) +file_handler.setFormatter(formatter) +console_handler = logging.StreamHandler() +console_handler.setFormatter(formatter) +logger.addHandler(file_handler) +logger.addHandler(console_handler) + +load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), + "../", + "../", + "Keys", + "keys.env" + )) + +def SendEmail( + user_email_origin="", + html_attach_flag=True, + email_type="Failed Project", + + SMTP_ADM="", + SMTP_PASSWORD="", + SMTP_HOST="", + SMTP_PORT="", + use_tls="", + + erro_project="", + title_origin="", + new_scheduled_time="", + planname='' + ): + """ + email_type: "Sucess Upgrated Account", "Failed Project", "Sucess Project", "Server Limitation", "Tiktok Publish Fail", "Youtube Publish Fail", "Sucess Created Account" + """ + template_path = os.path.join(diretorio_script, '../', '../', "EmailTemplates") + with smtplib.SMTP(SMTP_HOST, SMTP_PORT) as SMTP_server: + SMTP_server.connect(SMTP_HOST, SMTP_PORT) + if use_tls: + SMTP_server.starttls() + SMTP_server.login(SMTP_ADM, SMTP_PASSWORD) + MIME_server = MIMEMultipart() + MIME_server['From'] = f"Media Cuts Studio <{SMTP_ADM}>" + MIME_server['To'] = user_email_origin + try: + if email_type == "Failed Project": + corpo = f""" + Olá Nao foi possivel executar seu projeto com maestria pedimos desculpas e a compreencao que é natural que ocorra erros na versao beta + enviaremos o seguinte erro para os desenvolvedores: \n {erro_project} \n + """ + MIME_server['Subject'] = "O projeto falhou" + html_body = open(os.path.join(template_path, "FalhaDeProjeto.html"), encoding='utf-8').read().replace("{{erro}}", str(erro_project)) + + elif email_type == "Sucess Project": + corpo = f""" + Olá viemos informar que seu projeto\n + {title_origin}\n + foi executado com maestria confira no seu painel de projetos localizado em\n + https://mediacutsstudio.com/projects + """ + MIME_server['Subject'] = "O projeto foi um sucesso" + html_body = open(os.path.join(template_path, "SucessoDeProjeto.html"), encoding='utf-8').read().replace("{{title_origin}}", str(title_origin)) + + elif email_type == "Server Limitation": + corpo = f""" + Olá Nao foi possivel colocar seu projeto {title_origin} em execucao por conta da limitacao do servidor\n + Mas nao se preocupe agendamos a execucao do seu projeto para o seguinte horario: \n + {new_scheduled_time} + """ + MIME_server['Subject'] = "Limitacao do servidor" + html_body = open(os.path.join(template_path, "server_limit.html"), encoding='utf-8').read().replace("{{title}}", title_origin).replace("{{new_scheduled_time}}", new_scheduled_time) + + elif email_type == "Tiktok Publish Fail": + corpo = f""" + Olá Nao foi possivel enviar o video vertical {title_origin} para o tiktok\n + o seguinte erro aconteceu: \n {erro_project} \n + """ + MIME_server['Subject'] = "Nao foi possivel enviar o Tiktok" + html_body = open(os.path.join(template_path, "email_tiktok_fail.html"), encoding='utf-8').read().replace("{{title}}", title_origin).replace("{{errupload1}}", str(erro_project)) + + elif email_type == "Youtube Publish Fail": + corpo = f""" + Olá Nao foi possivel enviar o shorts {title_origin} para o youtube\n + o seguinte erro aconteceu: \n + {erro_project} + """ + MIME_server['Subject'] = "Nao foi possivel enviar o Youtube" + html_body = open(os.path.join(template_path, "email_youtube_fail.html"), encoding='utf-8').read().replace("{{title}}", title_origin).replace("{{error_content}}", str(erro_project)) + + elif email_type == "Sucess Created Account": + corpo = f""" + 🎉 Bem-vindo(a) ao Media Cuts Studio! + Olá {user_email_origin}, sua conta foi criada com sucesso. + Agora você já pode acessar o painel e começar a criar seus projetos de cortes automáticos! + https://mediacutsstudio.com/login + Media Cuts Studio © 2025 + + """ + MIME_server['Subject'] = "Conta criada com sucesso - Media Cuts Studio" + html_body = open(os.path.join(template_path, "email_account_success.html"), encoding='utf-8').read().replace("{{username}}", user_email_origin) + + elif email_type == "Sucess Upgrated Account": + corpo = f""" + 🎉 Bem-vindo(a) ao Media Cuts Studio! + Olá {user_email_origin}, sua conta foi atualizada com sucesso. + Agora você já pode acessar o painel e começar a criar seus projetos de cortes automáticos! + https://mediacutsstudio.com/login + Media Cuts Studio © 2025 + + """ + MIME_server['Subject'] = f"Seu conta foi atualizada para o Plano {planname} 🚀" + html_body = open(os.path.join(template_path, "email_plan_upgraded.html"), encoding='utf-8').read().replace("{{username}}", user_email_origin) + + if html_attach_flag == True: + MIME_server.attach(MIMEText(html_body, "html")) + elif html_attach_flag == False: + MIME_server.attach(MIMEText(corpo, "plain")) + + SMTP_server.sendmail(SMTP_ADM, user_email_origin, MIME_server.as_string()) + logger.info(f"Email '{email_type}' enviado com sucesso!") + SMTP_server.quit() + except Exception as eerrorsendemail: + logger.warning(f"erro ao enviar o email de sinalizacao de erro {eerrorsendemail}") + + + +# if __name__ == '__main__': + +# host = os.getenv('SMTP_HOST') +# port = int(os.getenv('SMTP_PORT', 587)) +# SMTP_USER = os.getenv('SMTP_USER') +# password = os.getenv('SMTP_PASSWORD') +# use_tls = os.getenv('SMTP_USE_TLS', 'true').lower() == 'true' +# user_email_origin = "freitasalexandre810@gmail.com" +# erro_project = "erro de teste" +# title_origin = "projeto de teste" +# new_scheduled_time = "2025-08-05 21:42:04" + + +# SendEmail( +# user_email_origin=user_email_origin, +# html_attach_flag=True, +# email_type="Sucess Created Account", + +# SMTP_ADM=SMTP_USER, +# SMTP_PASSWORD=password, +# SMTP_HOST=host, +# SMTP_PORT=port, +# use_tls=use_tls, + + +# erro_project=erro_project, +# title_origin=title_origin, +# new_scheduled_time=new_scheduled_time +# ) diff --git a/Back-End/Modules/Resolvers/user_identifier.py b/backend/Modules/Resolvers/user_identifier.py similarity index 59% rename from Back-End/Modules/Resolvers/user_identifier.py rename to backend/Modules/Resolvers/user_identifier.py index db25a4fa6..ae2cb8234 100644 --- a/Back-End/Modules/Resolvers/user_identifier.py +++ b/backend/Modules/Resolvers/user_identifier.py @@ -21,52 +21,6 @@ ] ) logger = logging.getLogger(__name__) -def require_user_token(optional=False): - def decorator(f): - @wraps(f) - def wrapped(*args, **kwargs): - token_str = request.headers.get('X-API-TOKEN') - - logger.info(F'API token {token_str}') - if not token_str: - if optional: - g.current_user = None - return f(*args, **kwargs) - - return jsonify({'error': 'API token obrigatório'}), 401 - - user = get_user_by_access_token(token_str) - revoked, reason = is_token_revoked_or_expired(user) - if revoked: - return jsonify({'error': 'Token inválido', 'reason': reason}), 401 - - g.current_user = user - return f(*args, **kwargs) - return wrapped - return decorator - -def resolve_user_identifier(identifier): - """ - Aceita: - - None -> retorna None - - número (string ou int) -> busca por id - - string com @ -> busca por email - - string sem @ -> tenta converter para int, senão retorna None - Retorna User instance ou None. - """ - if not identifier: - return None - - try: - uid = int(identifier) - return User.query.get(uid) - except (ValueError, TypeError): - pass - - if isinstance(identifier, str) and "@" in identifier: - return User.query.filter_by(email=identifier).first() - - return User.query.filter_by(email=str(identifier).strip()).first() def auth_user(logs_collection, app, email='', password=''): with app.app_context(): @@ -106,58 +60,28 @@ def auth_user(logs_collection, app, email='', password=''): return user, user.id, "success" -def auth_user_fallback(email, password, logs_collection, app): +def resolve_user_identifier(identifier): """ - Autentica usuário por token (se já estiver em g.current_user) - ou por email+senha. Retorna tupla (user, access_token, status). - - status: - - "success" -> login ok - - "token_limit" -> limite de tokens atingido - - "invalid" -> credenciais inválidas + Aceita: + - None -> retorna None + - número (string ou int) -> busca por id + - string com @ -> busca por email + - string sem @ -> tenta converter para int, senão retorna None + Retorna User instance ou None. """ - with app.app_context(): - # se já veio pelo decorator (token válido) - if getattr(g, "current_user", None): - user = g.current_user - try: - user.last_seen = datetime.utcnow() - db.session.add(user) - db.session.commit() - except Exception: - db.session.rollback() - log_action(logs_collection, 'login_success_token', {'message': 'login_success_token_by_token', 'username': user.email}, user=user.id) - # garante que retornamos o token atual do usuário - return user, user.acess_token, "success" - - # 2) Autenticação por email + senha - if not email or not password: - logger.info("????????") - return None, None, "invalid" - - user = resolve_user_identifier(email) - # evita usar user.id quando user é None (corrige crash no log) - if not user or not user.check_password(password): - log_action(logs_collection, 'login_failed', {'message': 'login_failed in if not user or not user.check_password(password):'}, level='warning', user=(user.id if user else None)) - return None, None, "invalid" - - # atualiza last_seen - user.last_seen = datetime.utcnow() + if not identifier: + return None - # garante que o usuário tenha um access token válido; cria se necessário - token_needs_creation = ( - not user.acess_token - or user.revoked_at is not None - or (user.expires_at is not None and datetime.utcnow() > user.expires_at) - ) + try: + uid = int(identifier) + return User.query.get(uid) + except (ValueError, TypeError): + pass - limit = user.limit_monthly_tokens or 0 - used = user.tokens_used or 0 - remaining = limit - used + if isinstance(identifier, str) and "@" in identifier: + return User.query.filter_by(email=identifier).first() - # se token não precisava ser recriado, só retorna o token atual - g.current_user = user - return user, user.acess_token, "success" + return User.query.filter_by(email=str(identifier).strip()).first() def is_token_revoked_or_expired(user: User): if not user: diff --git a/Back-End/Modules/Resolvers/verify_signature.py b/backend/Modules/Resolvers/verify_signature.py similarity index 100% rename from Back-End/Modules/Resolvers/verify_signature.py rename to backend/Modules/Resolvers/verify_signature.py diff --git a/backend/Modules/Savers/create_task.py b/backend/Modules/Savers/create_task.py new file mode 100644 index 000000000..462e40c71 --- /dev/null +++ b/backend/Modules/Savers/create_task.py @@ -0,0 +1,29 @@ +from Models.postgreSQL import db +from Models.postgreSQL import BackendTask, TaskStatus +from datetime import datetime +import pytz + +def create_task(user_id, content, priority=1, hours="1.2", lang="pt", eta_str='', EMPLOYER_CATEGORY=''): + """ + Cria uma tarefa no banco Flask-SQLAlchemy. + """ + tz = pytz.timezone("America/Sao_Paulo") + + task = BackendTask( + user_id=user_id, + category=EMPLOYER_CATEGORY, + user_content=content, + priority=priority, + estimated_hours=hours, + commit_language=lang, + status=TaskStatus.PENDING.value, + created_at=datetime.now(tz), + eta_str=eta_str + ) + db.session.add(task) + db.session.commit() + print(f"Tarefa criada: {task.id}") + return task.id + +# # Exemplo +# create_task("user_001", "Gerar endpoints para autenticação", priority=5, capacity="1.2") diff --git a/backend/Modules/Savers/log_action.py b/backend/Modules/Savers/log_action.py new file mode 100644 index 000000000..37f2e26a2 --- /dev/null +++ b/backend/Modules/Savers/log_action.py @@ -0,0 +1,68 @@ +# Back-End\Modules\Savers\log_action.py +from datetime import datetime, timedelta +import logging + + +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s [%(levelname)s] %(message)s", + handlers=[ + logging.StreamHandler() + ] +) +logger = logging.getLogger(__name__) + + +def log_action(logs_collection, action, details=None, user=None, level='info'): + """ + Registra uma ação no MongoDB (coleção logs). + Padroniza campos: timestamp (UTC), level uppercase, user_id (se for int), user (se for string/obj), details como dict. + """ + if details is None: + details = {} + + if not isinstance(details, dict): + try: + details = {"message": str(details)} + except Exception: + details = {"message": "no details"} + + if "message" not in details: + details["message"] = details.get("msg") or str(action) + + user_id_val = None + user_val = None + if user is not None: + try: + user_id_val = int(getattr(user, "id", user)) + except Exception: + user_val = str(user) + if isinstance(user, int): + user_id_val = user + user_val = user + + log_entry = { + "timestamp": datetime.utcnow(), + "action": action, + "details": details, + "level": (level or "info").upper() + } + + if user_id_val is not None: + log_entry["user_id"] = user_id_val + log_entry["user"] = user_id_val + elif user_val is not None: + log_entry["user"] = user_val + + if "prNumber" in details and "pr_number" not in details: + details["pr_number"] = details["prNumber"] + + logger.info(f""" +timestamp {datetime.utcnow().isoformat()} +action {action} +details {details} +user {user} +level {level} + """) + result = logs_collection.insert_one(log_entry) + return str(result.inserted_id) \ No newline at end of file diff --git a/Back-End/Modules/Savers/log_audit.py b/backend/Modules/Savers/log_audit.py similarity index 100% rename from Back-End/Modules/Savers/log_audit.py rename to backend/Modules/Savers/log_audit.py diff --git a/Back-End/Modules/Savers/log_system_health.py b/backend/Modules/Savers/log_system_health.py similarity index 100% rename from Back-End/Modules/Savers/log_system_health.py rename to backend/Modules/Savers/log_system_health.py diff --git a/Back-End/Modules/Updaters/pr_body.py b/backend/Modules/Updaters/pr_body.py similarity index 100% rename from Back-End/Modules/Updaters/pr_body.py rename to backend/Modules/Updaters/pr_body.py diff --git a/Back-End/Modules/Updaters/pr_merge.py b/backend/Modules/Updaters/pr_merge.py similarity index 100% rename from Back-End/Modules/Updaters/pr_merge.py rename to backend/Modules/Updaters/pr_merge.py diff --git a/Back-End/Modules/Updaters/user_tokens.py b/backend/Modules/Updaters/user_tokens.py similarity index 100% rename from Back-End/Modules/Updaters/user_tokens.py rename to backend/Modules/Updaters/user_tokens.py diff --git a/backend/TestDiscovery/_task_sheduler.py b/backend/TestDiscovery/_task_sheduler.py new file mode 100644 index 000000000..fde1dbcd2 --- /dev/null +++ b/backend/TestDiscovery/_task_sheduler.py @@ -0,0 +1,74 @@ +import requests +from datetime import datetime, timedelta +import pytz + +# URL base do seu backend Flask +BACKEND_URL = "http://localhost:5910/api/tasks/add" # ajuste se estiver em outra porta/host +ACCESS_TOKEN = "IJGpuZxIP0eIJRfpzUsuCMbOEkq0dwR-Lq8sY2Uo-o0" # substitua pelo token JWT real do usuário autenticado + +# 🧠 Conteúdo da Sprint 3 +SPRINT_NAME = "## Sprint 1 | Intervalo de horas: 1-4" +SPRINT_OBJECTIVE = """ + +Descrição do produto: sistema multiusuário (médicos e pacientes) para agendamento online de consultas com pagamento integrado via Stripe. Backend em Flask, PostgreSQL, Redis; Front-end em Vite + React; Observabilidade com MongoDB; Orquestração de tarefas com Celery + Redis; CI/CD com GitHub Actions. + +### MVP Base +- Configurar estrutura do projeto Flask API + PostgreSQL + Redis +- Criar containers Docker +- Definir arquitetura de pastas +- desenvolvimento dos endpoints + +## Sprint 1 | Intervalo de horas: 1-4 +* [x] Configuração inicial do projeto (Flask + PostgreSQL + MongoDB) +* [x] Setup de ambiente e containers Docker +* [x] Implementar `/api/register` e `/api/login` +* [x] Configuração de AUth +* [x] Persistência de usuários no PostgreSQL +* [x] Integração com MongoDB para logs +* [x] Implementar endpoints `/api/logs` e `/api/logs/export` +* [x] Função `log_action` com salvamento estruturado de ações +* [x] Implementar `/api/settings` (GET/PUT) +* [x] Endpoint `/api/health` para checagem completa de serviços +* [x] Modelagem de médicos e pacientes no Postgres +* [x] Endpoint `/api/médicos` (listagem) +* [x] Endpoint `/api/médicos/` (detalhes) +* [x] Endpoint `/api/pacientes` (listagem) +* [x] Endpoint `/api/pacientes/` (detalhes) +* [x] Endpoint `/api/dashboard-data` com estatísticas e atividades do sistema + +""" + +tz = pytz.timezone("America/Sao_Paulo") + +now_sp = datetime.now(tz) + +eta = now_sp + timedelta(minutes=2) +print(f"⏰ Tarefa agendada para {eta} ") + +# Corpo da requisição +payload = { + "user_id": 1, + "content": f"Tarefa para {SPRINT_NAME}\n\n{SPRINT_OBJECTIVE}", + "priority": 2, + "hours": "1.5", + "lang": "pt", + "eta": eta.isoformat() # Passando ISO 8601 +} + +# Cabeçalhos (autenticação + JSON) +headers = { + "Content-Type": "application/json", + "X-API-TOKEN": ACCESS_TOKEN +} + +try: + response = requests.post(BACKEND_URL, json=payload, headers=headers) + if response.status_code == 201: + data = response.json() + print("✅ Tarefa criada com sucesso!") + print(f"🆔 ID da tarefa: {data.get('task_id')}") + print(f"📦 Status inicial: {data.get('status')}") + else: + print(f"❌ Falha ao criar tarefa ({response.status_code}): {response.text}") +except Exception as e: + print(f"💥 Erro de execução: {e}") diff --git a/Back-End/TestDiscovery/add_mock_pr.py b/backend/TestDiscovery/add_mock_pr.py similarity index 100% rename from Back-End/TestDiscovery/add_mock_pr.py rename to backend/TestDiscovery/add_mock_pr.py diff --git a/Back-End/TestDiscovery/create_new_user.py b/backend/TestDiscovery/create_new_user.py similarity index 93% rename from Back-End/TestDiscovery/create_new_user.py rename to backend/TestDiscovery/create_new_user.py index 0f81f65b6..566e28286 100644 --- a/Back-End/TestDiscovery/create_new_user.py +++ b/backend/TestDiscovery/create_new_user.py @@ -27,3 +27,6 @@ def criar_conta(email: str, senha: str, expires_days: int = None): # Exemplo de uso if __name__ == "__main__": criar_conta("teste@example.com", "minhasenha123", expires_days=30) +# git checkout main +# git pull origin main +# git checkout -b new-feature \ No newline at end of file diff --git a/backend/TestDiscovery/errorr.txt b/backend/TestDiscovery/errorr.txt new file mode 100644 index 000000000..e5eb51398 --- /dev/null +++ b/backend/TestDiscovery/errorr.txt @@ -0,0 +1,9 @@ +[plugin:vite:react-babel] E:\Users\Media Cuts DeV\Downloads\WorkEnv\SoftwareAI\Back-End\example8\src\components\appointments\AppointmentList.jsx: Identifier 'user' has already been declared. (11:11) + 14 | +E:/Users/Media Cuts DeV/Downloads/WorkEnv/SoftwareAI/Back-End/example8/src/components/appointments/AppointmentList.jsx:11:11 +9 | const { user } = useAuth(); +10 | const { appointments, loading } = useAppointments(); +11 | const { user } = useAuth(); + | ^ +12 | +13 | if (loading || !user) return ; \ No newline at end of file diff --git a/Back-End/TestDiscovery/gen-prai.py b/backend/TestDiscovery/gen-prai.py similarity index 100% rename from Back-End/TestDiscovery/gen-prai.py rename to backend/TestDiscovery/gen-prai.py diff --git a/Back-End/git_context_layer.py b/backend/TestDiscovery/git_context_layer.py similarity index 100% rename from Back-End/git_context_layer.py rename to backend/TestDiscovery/git_context_layer.py diff --git a/Back-End/TestDiscovery/local_pipeline_test.py b/backend/TestDiscovery/local_pipeline_test.py similarity index 100% rename from Back-End/TestDiscovery/local_pipeline_test.py rename to backend/TestDiscovery/local_pipeline_test.py diff --git a/Back-End/TestDiscovery/log_action.py b/backend/TestDiscovery/log_action.py similarity index 100% rename from Back-End/TestDiscovery/log_action.py rename to backend/TestDiscovery/log_action.py diff --git a/backend/TestDiscovery/lovable.py b/backend/TestDiscovery/lovable.py new file mode 100644 index 000000000..997d434d9 --- /dev/null +++ b/backend/TestDiscovery/lovable.py @@ -0,0 +1,158 @@ +import os +import threading +import requests +import json +import logging +from dotenv import load_dotenv +import asyncio +import stripe +from decimal import Decimal +from bson.json_util import dumps +from datetime import datetime, timedelta, timezone +import hmac +import hashlib +from flask import g, Flask, Response, request, jsonify, send_file, abort, redirect +from flask_cors import CORS +from asgiref.wsgi import WsgiToAsgi +from flask_jwt_extended import JWTManager, create_access_token, jwt_required, get_jwt_identity +from flask_limiter import Limiter +from flask_limiter.util import get_remote_address + +os.chdir(os.path.join(os.path.dirname(__file__))) +load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), 'Keys', 'keys.env')) + +from Agents.AppAI.PredictedTypeApp.ai import GeneratePredictedTypeAppAgent +from Agents.AppAI.SprintsPlanner.ai import SprintsPlannerAppAgent +from Agents.AppAI.CodeBackend.ai import CodeBackEndAgent +from Agents.AppAI.RequirementsPlanner.ai import RequirementsPlannerAppAgent +from Agents.AppAI.SprintsSheduler.ai import SprintsShedulerAppAgent + +from Agents.AppAI.CodeFrontend.ai import CodeFrontendAgent + +OPENAI_API_KEY = os.getenv("OPENAI_API_KEY") +user_id = 1 +model = "gpt-5-nano" +commit_language = "pt" +type_devlopment = 'create' +project_name = "Agendmedi" +tipo_app = "SaaS: Agenda de Consultas com Pagamento" +descricao = "sistema multiusuário (médicos e pacientes) para agendamento online de consultas com pagamento integrado via Stripe. Backend em Flask, PostgreSQL, Redis; Front-end em Vite + React; Observabilidade com MongoDB; Orquestração de tarefas com Celery + Redis; CI/CD com GitHub Actions." +user_task = "Quero um sistema onde médicos e pacientes possam agendar consultas online e pagar pelo site." +BACKEND_URL = "http://localhost:5910/api/tasks/add" +ACCESS_TOKEN = "IJGpuZxIP0eIJRfpzUsuCMbOEkq0dwR-Lq8sY2Uo-o0" +local_to_save = os.path.join(os.path.dirname(__file__), 'WorkEnv') + + +# type_app, justificativa, total_usage = asyncio.run(GeneratePredictedTypeAppAgent( +# OPENAI_API_KEY, +# user_id, +# user_task, +# commit_language = commit_language, +# model = model, +# )) + +# print(f"type_app {type_app}") +# print(f"justificativa {justificativa}") +# print(f"total_usage {total_usage}") + + + +# user_content = f""" +# user request: {user_task}\n + +# Predicted Type App:\n +# type_app: {type_app}\n +# justificativa: {justificativa} + + +# """ + +# user_content = """ +# Descrição do produto: sistema multiusuário (médicos e pacientes) para agendamento online de consultas com pagamento integrado via Stripe. Backend em Flask, PostgreSQL, Redis; Front-end em Vite + React; Observabilidade com MongoDB; Orquestração de tarefas com Celery + Redis; CI/CD com GitHub Actions. + +# """ +# total_usage, saved_files = asyncio.run(RequirementsPlannerAppAgent( +# OPENAI_API_KEY, +# user_id, +# tipo_app, +# descricao, +# user_content, +# commit_language = commit_language, +# model = model, +# local_to_save = local_to_save, +# type_requirements="frontend" + +# )) +# print(f"saved_files {saved_files}") + + +saved_files = ['e:\\Users\\Media Cuts DeV\\Downloads\\WorkEnv\\SoftwareAI\\Back-End\\WorkEnv/docs/technical-requirements.md', 'e:\\Users\\Media Cuts DeV\\Downloads\\WorkEnv\\SoftwareAI\\Back-End\\WorkEnv/docs/adr/001-architecture-decision.md', 'e:\\Users\\Media Cuts DeV\\Downloads\\WorkEnv\\SoftwareAI\\Back-End\\WorkEnv/docs/adr/002-api-client.md', 'e:\\Users\\Media Cuts DeV\\Downloads\\WorkEnv\\SoftwareAI\\Back-End\\WorkEnv/docs/adr/003-state-management.md', 'e:\\Users\\Media Cuts DeV\\Downloads\\WorkEnv\\SoftwareAI\\Back-End\\WorkEnv/docs/adr/004-security.md', 'e:\\Users\\Media Cuts DeV\\Downloads\\WorkEnv\\SoftwareAI\\Back-End\\WorkEnv/docs/requirements-summary.md'] + +total_usage, saved_files = asyncio.run(CodeFrontendAgent( + OPENAI_API_KEY, + user_id, + tipo_app, + descricao, + saved_files, + model = model, + local_to_save = local_to_save, + type_devlopment=type_devlopment, + project_name=project_name, + + )) +print(f"saved_files {saved_files}") + + + + + +# saved_files = ['docs/technical-requirements.md', 'docs/adr/001-architecture-decision.md', 'docs/adr/002-architecture-decision.md', 'docs/adr/003-architecture-decision.md', 'docs/requirements-summary.md'] + +# total_usage, caminho_do_arquivo = asyncio.run(SprintsPlannerAppAgent( +# OPENAI_API_KEY, +# user_id, +# tipo_app, +# descricao, +# saved_files, +# commit_language = commit_language, +# model = model, +# local_to_save=local_to_save +# )) + +# print(f"total_usage {total_usage}") +# print(f"caminho_do_arquivo {caminho_do_arquivo}") + +# os.chdir(os.path.join(os.path.dirname(__file__))) + + + +# with open(os.path.join(local_to_save, "sprint_plan.md"), "r") as content: +# user_content = content.read() + +# total_usage, total_de_tasks = asyncio.run(SprintsShedulerAppAgent( +# OPENAI_API_KEY, +# user_id, +# ACCESS_TOKEN, +# user_content, +# BACKEND_URL, +# commit_language = commit_language, +# model = model, +# )) + +# print(f"total_usage {total_usage}") +# print(f"total_de_tasks {total_de_tasks}") + +# with open(os.path.join(local_to_save, "sprint_1.md"), "r") as content: +# user_content = content.read() + +# total_usage, saved_files = asyncio.run(CodeBackEndAgent( +# OPENAI_API_KEY, +# user_id, +# tipo_app, +# descricao, +# user_content, +# commit_language = commit_language, +# model = model, +# local_to_save = local_to_save +# )) +# print(f"saved_files {saved_files}") diff --git a/Back-End/TestDiscovery/normalize_user.py b/backend/TestDiscovery/normalize_user.py similarity index 100% rename from Back-End/TestDiscovery/normalize_user.py rename to backend/TestDiscovery/normalize_user.py diff --git a/Back-End/observer.py b/backend/TestDiscovery/observer.py similarity index 100% rename from Back-End/observer.py rename to backend/TestDiscovery/observer.py diff --git a/Back-End/TestDiscovery/openai_status.py b/backend/TestDiscovery/openai_status.py similarity index 100% rename from Back-End/TestDiscovery/openai_status.py rename to backend/TestDiscovery/openai_status.py diff --git a/Back-End/TestDiscovery/rate_limiting.py b/backend/TestDiscovery/rate_limiting.py similarity index 100% rename from Back-End/TestDiscovery/rate_limiting.py rename to backend/TestDiscovery/rate_limiting.py diff --git a/Back-End/TestDiscovery/seed_invoices_for_freitas.md b/backend/TestDiscovery/seed_invoices_for_freitas.md similarity index 100% rename from Back-End/TestDiscovery/seed_invoices_for_freitas.md rename to backend/TestDiscovery/seed_invoices_for_freitas.md diff --git a/Back-End/TestDiscovery/test_usage_tokens.py b/backend/TestDiscovery/test_usage_tokens.py similarity index 100% rename from Back-End/TestDiscovery/test_usage_tokens.py rename to backend/TestDiscovery/test_usage_tokens.py diff --git a/backend/TestDiscovery/teste_ai_type.py b/backend/TestDiscovery/teste_ai_type.py new file mode 100644 index 000000000..515cfc867 --- /dev/null +++ b/backend/TestDiscovery/teste_ai_type.py @@ -0,0 +1,138 @@ + +import json +import logging +import os +from pydantic import BaseModel, Field +from pathlib import Path +from typing import Any, List, Optional, Union + +import backoff +import openai +import pyperclip +from fastapi import WebSocket +from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler +from langchain.chat_models.base import BaseChatModel +from langchain.schema import ( + AIMessage, + HumanMessage, + SystemMessage, + messages_from_dict, + messages_to_dict, +) +from langchain_core.messages import ( + AIMessage, + AnyMessage, + BaseMessage, + BaseMessageChunk, + HumanMessage, + convert_to_messages, + convert_to_openai_image_block, + is_data_content_block, + message_chunk_to_message, +) +from langchain_anthropic import ChatAnthropic +from langchain_openai import AzureChatOpenAI, ChatOpenAI +from firebase_admin import App +from Agents.gpt_engineer.core.files_dict import FilesDict, file_to_lines_dict +from Agents.gpt_engineer.core.base_memory import BaseMemory + +from Agents.gpt_engineer.core.default.steps import salvage_correct_hunks +from Agents.gpt_engineer.applications.cli.main import NonInteractiveFileSelector, memory_path, DiskMemory + +# Type hint for a chat message +Message = Union[AIMessage, HumanMessage, SystemMessage] + +def next( + messages: List[Message], +) -> List[Message]: + filename = "main.py" + + # with open(os.path.join(os.path.dirname(__file__), 'teste_main.diff'), 'r', encoding='utf-8') as f: + # diff = f.read() + diff_content = """ +--- main.py ++++ main.py +@@ -1,11 +1,11 @@ +- def hello_world(): ++ def hello_worlddddddddddddddd(): + print("Hello, World!") + + +def main(): + hello_world() + + +if __name__ == "__main__": + main() + + """ + + # print(f"diff {diff}") + content_str = f"{diff_content}" + response = BaseMessage(type="ai", content=content_str, filename=filename) + content = response.content + messages.append(response) + return messages + +def _improve( + files_dict: FilesDict, + memory: BaseMemory, + messages: List, + repo_path='', + diff_timeout=3 +) -> FilesDict: + messages = next(messages) + files_dict, errors = salvage_correct_hunks( + messages, + files_dict, + memory, + repo_path, + diff_timeout=diff_timeout + ) + + return files_dict, errors + +# os.chdir(os.path.join(os.path.dirname(__file__))) + +project_path=os.path.join(os.path.dirname(__file__), 'example8') + +# mock files_dict +file_selector = NonInteractiveFileSelector(project_path) +files_dict, is_linting = file_selector.ask_for_files( + skip_file_selection=True +) +# print(f"files_dict.keys() {files_dict.keys()}") + +# mock memory +memory = DiskMemory(memory_path(project_path)) +memory.archive_logs() + +# mock messages +messages = [ + SystemMessage(content="TESTE"), +] + +# mock next +messages = next( + messages, +) + +# mock improve +files_dict, errors = _improve( + files_dict, + memory, + messages, + repo_path=project_path, + diff_timeout=3 +) + +print(f"errors {errors}") + +# diff_content = messages[-1].content.strip() +# filename = messages[-1].filename +# print(f"filename {filename}") + +# # Remove comentários do LLM +# cleaned_lines = [line for line in diff_content.splitlines() if not line.strip().startswith("//")] +# diff_content_cleaned = "\n".join(cleaned_lines) +# print(f"diff_content_cleaned {diff_content_cleaned}") diff --git a/backend/TestDiscovery/teste_diff.py b/backend/TestDiscovery/teste_diff.py new file mode 100644 index 000000000..7ec3bba71 --- /dev/null +++ b/backend/TestDiscovery/teste_diff.py @@ -0,0 +1,34 @@ +from Agents.gpt_engineer.core.diffprocessor import DiffProcessor +import os +import tempfile + +# os.chdir() +# diff_file = os.path.join(os.path.dirname(__file__), 'example8', "teste.diff") +diff_content = """ +--- /dev/null ++++ main.py +@@ -0,0 +1,10 @@ ++def hello_world(): ++ print("Hello, World!") ++ ++ ++def main(): ++ hello_world() ++ ++ ++if __name__ == "__main__": ++ main() +""" +repo_path = os.path.join(os.path.dirname(__file__), 'example8') + +with tempfile.NamedTemporaryFile("w+", delete=False, encoding="utf-8", suffix=".diff") as tmp_diff: + tmp_diff.write(diff_content) + tmp_diff_path = tmp_diff.name + +dp = DiffProcessor(diff_path=tmp_diff_path) +dp.parse() +print(dp.summary()) +dp.validate() +dp.apply(repo_path) + +os.remove(tmp_diff_path) \ No newline at end of file diff --git a/backend/TestDiscovery/teste_main.diff b/backend/TestDiscovery/teste_main.diff new file mode 100644 index 000000000..28088d29d --- /dev/null +++ b/backend/TestDiscovery/teste_main.diff @@ -0,0 +1,21 @@ +--- a/main.py ++++ b/main.py +@@ -5,11 +5,12 @@ + + def initialize_app(config): + """Inicializa as configurações básicas do aplicativo.""" ++ logging.info(f"Configurações carregadas: {config}") + logging.info("Aplicação iniciada.") + # TODO: Implementar carregamento de rotas e banco de dados + if not config.get('DEBUG', False): + logging.info("Modo de produção ativo.") + + def run_server(): + """Simula o loop principal do servidor.""" + config = {'DEBUG': True} + initialize_app(config) +- print("Servidor rodando...") ++ logging.info("Servidor pronto e rodando.") + + if __name__ == "__main__": + run_server() \ No newline at end of file diff --git a/backend/TestDiscovery/teste_mcp.py b/backend/TestDiscovery/teste_mcp.py new file mode 100644 index 000000000..519bc5dc6 --- /dev/null +++ b/backend/TestDiscovery/teste_mcp.py @@ -0,0 +1,33 @@ +from pathlib import Path +from agents import Agent, Runner +from agents.mcp import MCPServerStdio +import asyncio +import os +from dotenv import load_dotenv + +os.chdir(os.path.join(os.path.dirname(__file__))) +load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), "Keys", 'keys.env')) + +import asyncio + +from agents import Agent, HostedMCPTool, Runner + +async def main() -> None: + agent = Agent( + name="Assistant", + tools=[ + HostedMCPTool( + tool_config={ + "type": "mcp", + "server_label": "gitmcp", + "server_url": "https://gitmcp.io/openai/codex", + "require_approval": "never", + } + ) + ], + ) + + result = await Runner.run(agent, "https://github.com/openai/openai-chatkit-advanced-samples Which language is this repository written in?") + print(result.final_output) + +asyncio.run(main()) \ No newline at end of file diff --git a/backend/TestDiscovery/testerun_gpt_engineer.py b/backend/TestDiscovery/testerun_gpt_engineer.py new file mode 100644 index 000000000..8582d1ba4 --- /dev/null +++ b/backend/TestDiscovery/testerun_gpt_engineer.py @@ -0,0 +1,48 @@ +import os +from dotenv import load_dotenv + +os.chdir(os.path.join(os.path.dirname(__file__))) +load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), 'Keys', 'keys.env')) + +from Agents.gpt_engineer.applications.cli.main import run_gpt_engineer + +default_prompt = """ +Product Description (Front-End): Multi-user system (doctors and patients) for online appointment scheduling. +The front-end should be developed in Vite + React, including: + +- Responsive and accessible interface for desktop and mobile. +- Reusable and modularized components. +- User management (registration, login, profile). +- Appointment scheduling. +- Payments via Stripe. +- Global state and data management. +- Minimal observability on the front-end. +- Support for authentication and authorization of different user profiles. +- Best UI/UX practices, including feedback for user actions. +- Organized folder structure and easy maintenance. +""" + +with open("errorr.txt", "r", encoding='utf-8') as err: + error = err.read() +improvment_prompt = f""" +pense passo a passo para resolver o erro abaixo e corrija os arquivos problematicos de forma proativa: +{error} +""" + +result = run_gpt_engineer( + project_path="./example8", + # default_prompt=default_prompt, + default_improve_prompt=improvment_prompt, + improve_mode=True, + model="gpt-5-nano", + auto_apply_changes=True, + skip_entrypoint_execution=True, # Pula confirmações + verbose=True, + debug=True +) + +if result.success: + print("Success!") + print("Files created:", list(result.files_dict.keys())) +else: + print("Error:", result.error_message) \ No newline at end of file diff --git a/backend/TestDiscovery/testes.py b/backend/TestDiscovery/testes.py new file mode 100644 index 000000000..acbb829b5 --- /dev/null +++ b/backend/TestDiscovery/testes.py @@ -0,0 +1,6 @@ +# Simple check to confirm the database connection is minimally functional +from Modules.ChatKit.postgres_store import Thread +from api import app +with app.app_context(): + Thread.query.count() +print("Database connection verified: Thread table queried successfully.") diff --git a/Back-End/Workflows/PullRequest/pr.yml b/backend/Workflows/pr.yml similarity index 100% rename from Back-End/Workflows/PullRequest/pr.yml rename to backend/Workflows/pr.yml diff --git a/Back-End/api.py b/backend/api.py similarity index 92% rename from Back-End/api.py rename to backend/api.py index 90822e146..a60e02ac2 100644 --- a/Back-End/api.py +++ b/backend/api.py @@ -22,7 +22,7 @@ from Models.postgreSQL import * from Modules.Resolvers.pr_process import process_pull_request from Modules.Resolvers.generate_invoice_pdf import generate_invoice_pdf -from Modules.Resolvers.user_identifier import auth_user, require_user_token, resolve_user_identifier +from Modules.Resolvers.user_identifier import auth_user from Modules.Geters.systemsettings import * from Modules.Geters.user_by_access_token import get_user_by_access_token @@ -43,6 +43,7 @@ from Modules.Geters.plans_data import get_plans_data from Modules.Resolvers.verify_signature import verify_signature from Modules.Resolvers.git_contex_layer_process import process_git_context_layer +from Modules.Savers.create_task import create_task diretorio_script = os.path.dirname(os.path.abspath(__file__)) logger = logging.getLogger(__name__) @@ -57,7 +58,7 @@ logger.addHandler(console_handler) os.chdir(os.path.join(os.path.dirname(__file__))) -load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), 'keys.env')) +load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), "Keys", 'keys.env')) INVOICES_DIR = os.path.join(os.path.dirname(__file__), 'Invoices') @@ -178,7 +179,6 @@ def register(): return jsonify({'error': 'Failed to register user', 'detail': str(e)}), 500 @app.route('/api/login', methods=['GET']) -# @require_user_token(optional=True) def login(): try: email = request.args.get('email') @@ -220,7 +220,7 @@ def health_check(): numeric_user_id = user.id - GITHUB_TOKEN, OPENAI_API_KEY, GITHUB_SECRET, REPOSITORY_NAME = get_tokens(numeric_user_id, log_action, logs_collection, SystemSettings, db) + GITHUB_TOKEN, REPOSITORY_NAME = get_tokens(numeric_user_id, log_action, logs_collection, SystemSettings, db) health_status = { 'status': 'ok', @@ -339,7 +339,7 @@ def get_rate_limits(): 'timestamp': datetime.utcnow().isoformat() } - GITHUB_TOKEN, OPENAI_API_KEY, GITHUB_SECRET, REPOSITORY_NAME = get_tokens(numeric_user_id, log_action, logs_collection, SystemSettings, db) + GITHUB_TOKEN, REPOSITORY_NAME = get_tokens(numeric_user_id, log_action, logs_collection, SystemSettings, db) # GitHub Rate Limits if GITHUB_TOKEN: @@ -400,11 +400,7 @@ def get_settings(): response_data = { 'githubToken': settings.github_token, 'GITHUB_TOKEN': settings.github_token, - 'githubSecret': settings.github_secret, - 'repositoryName': settings.repository_name or '', - 'openaiApiKey': settings.openai_api_key, - 'webhookUrl': settings.webhook_url or '', - 'autoProcessPRs': settings.auto_process_prs, + 'repository_name': settings.repository_name or '', 'enableLogging': settings.enable_logging, 'logLevel': settings.log_level or 'INFO', @@ -454,11 +450,7 @@ def update_settings(): db.session.add(settings) settings.github_token = data.get('githubToken') - settings.github_secret = data.get('githubSecret') settings.repository_name = data.get('repositoryName') - settings.openai_api_key = data.get('openaiApiKey') - settings.webhook_url = data.get('webhookUrl') - settings.auto_process_prs = data.get('autoProcessPRs') settings.enable_logging = data.get('enableLogging') settings.log_level = data.get('logLevel') @@ -552,7 +544,7 @@ def test_connection(service): }), 400 elif service == 'openai': - if not settings or not settings.openai_api_key: + if not settings or not OPENAI_API_KEY: log_action(logs_collection, 'settings_openai_api_key_error', { 'status': 'error', 'service': service, @@ -566,7 +558,7 @@ def test_connection(service): response = requests.get( 'https://api.openai.com/v1/models', - headers={'Authorization': f'Bearer {settings.openai_api_key}'}, + headers={'Authorization': f'Bearer {OPENAI_API_KEY}'}, timeout=10 ) @@ -844,7 +836,7 @@ def get_pull_requests(): numeric_user_id = user.id - GITHUB_TOKEN, OPENAI_API_KEY, GITHUB_SECRET, REPOSITORY_NAME = get_tokens(numeric_user_id, log_action, logs_collection, SystemSettings, db) + GITHUB_TOKEN, REPOSITORY_NAME = get_tokens(numeric_user_id, log_action, logs_collection, SystemSettings, db) try: @@ -914,7 +906,7 @@ def get_pull_request_details(pr_id): numeric_user_id = user.id - GITHUB_TOKEN, OPENAI_API_KEY, GITHUB_SECRET, REPOSITORY_NAME = get_tokens(numeric_user_id, log_action, logs_collection, SystemSettings, db) + GITHUB_TOKEN, REPOSITORY_NAME = get_tokens(numeric_user_id, log_action, logs_collection, SystemSettings, db) try: pr = PullRequest.query.filter_by(id=pr_id, user_id=numeric_user_id).first_or_404() @@ -1010,7 +1002,6 @@ def parse_to_aware(dt): return None @app.route('/api/dashboard-data', methods=['GET']) -# def get_dashboard_data(): """Obter dados agregados para o dashboard (correção focada: apenas aqui).""" @@ -1152,7 +1143,6 @@ def get_dashboard_data(): @app.route('/api/workflows', methods=['GET']) - def list_workflows(): """ Lista workflows (arquivos .yml/.yaml) a partir de WORKFLOWS_PATH (env) ou ./workflows. @@ -1210,7 +1200,6 @@ def list_workflows(): return jsonify({'error': 'Failed to list workflows', 'detail': str(e)}), 500 @app.route('/api/myaccount', methods=['GET']) - def my_account(): """ Retorna informações da conta do usuário autenticado. @@ -1243,7 +1232,6 @@ def my_account(): @app.route('/api/invoices', methods=['GET']) - def list_invoices(): """ Listar faturas paginadas. @@ -1289,7 +1277,6 @@ def list_invoices(): @app.route('/api/invoices/', methods=['GET']) - def get_invoice_detail(invoice_id): """ Detalhe da fatura (inclui linhas / itens). @@ -1318,7 +1305,6 @@ def get_invoice_detail(invoice_id): @app.route('/api/invoices//download', methods=['GET']) - def download_invoice(invoice_id): """ Download do PDF da fatura. @@ -1370,7 +1356,6 @@ def download_invoice(invoice_id): @app.route('/api/reprocess-pr/', methods=['POST']) - def reprocess_pr(pr_number): """Reprocessar um Pull Request específico""" data = request.get_json() @@ -1384,7 +1369,7 @@ def reprocess_pr(pr_number): numeric_user_id = user.id model = "gpt-5-nano" - GITHUB_TOKEN, OPENAI_API_KEY, GITHUB_SECRET, REPOSITORY_NAME = get_tokens(numeric_user_id, log_action, logs_collection, SystemSettings, db) + GITHUB_TOKEN, REPOSITORY_NAME = get_tokens(numeric_user_id, log_action, logs_collection, SystemSettings, db) thread = threading.Thread(target=process_pull_request, args=( app, numeric_user_id, @@ -1418,7 +1403,7 @@ def prai(): numeric_user_id = user.id model = "gpt-5-nano" - GITHUB_TOKEN, _, GITHUB_SECRET, REPOSITORY_NAME = get_tokens(numeric_user_id, log_action, logs_collection, SystemSettings, db) + GITHUB_TOKEN, REPOSITORY_NAME = get_tokens(numeric_user_id, log_action, logs_collection, SystemSettings, db) threading.Thread(target=process_pull_request, args=( app, @@ -1438,9 +1423,6 @@ def prai(): 'triggered_by': numeric_user_id }), 202 - - - @app.route('/api/prai/diff_context', methods=['POST']) def diff_context(): data = request.get_json() @@ -1455,7 +1437,7 @@ def diff_context(): numeric_user_id = user.id model = "gpt-5-nano" - GITHUB_TOKEN, _, GITHUB_SECRET, REPOSITORY_NAME = get_tokens(numeric_user_id, log_action, logs_collection, SystemSettings, db) + GITHUB_TOKEN, REPOSITORY_NAME = get_tokens(numeric_user_id, log_action, logs_collection, SystemSettings, db) commit_message = process_git_context_layer( app, @@ -1478,6 +1460,145 @@ def diff_context(): + + + + + + +@app.route('/api/tasks/add', methods=['POST']) +def add_task(): + """ + Endpoint para criar uma tarefa na fila process_dynamic_queue + """ + data = request.get_json() + if not data: + return jsonify({"error": "Nenhum dado fornecido"}), 400 + + user_id = data.get('user_id') + content = data.get('content') + EMPLOYER_CATEGORY = data.get('category') + priority = data.get('priority', 1) + hours = data.get('hours', "1.0") + lang = data.get('lang', "pt") + eta_str = data.get('eta') # Espera string ISO + + if not user_id or not content: + return jsonify({"error": "Campos 'user_id' e 'content' são obrigatórios"}), 400 + + try: + + + task_id = create_task(user_id, content, priority, hours, lang, eta_str, EMPLOYER_CATEGORY) + + + return jsonify({"task_id": task_id, "status": "created"}), 201 + except Exception as e: + return jsonify({"error": str(e)}), 500 + +@app.route('/api/tasks/list', methods=['GET']) +def list_tasks(): + """Listar tarefas criadas pelo usuário, com filtros e paginação""" + user, _, status = auth_user(logs_collection, app) + if status != "success" or not user: + return jsonify({"error": "Usuário não autenticado ou inválido"}), 401 + + numeric_user_id = user.id + page = int(request.args.get("page", 1)) + limit = int(request.args.get("limit", 50)) + search_term = request.args.get("searchTerm", None) + status_filter = request.args.get("status", None) + + try: + query = BackendTask.query.filter_by(user_id=numeric_user_id) + + if search_term: + query = query.filter(BackendTask.user_content.ilike(f'%{search_term}%')) + if status_filter: + query = query.filter(BackendTask.status == status_filter) + + tasks_paginated = query.order_by(BackendTask.created_at.desc()).paginate( + page=page, per_page=limit, error_out=False + ) + + formatted_tasks = [] + for task in tasks_paginated.items: + formatted_tasks.append({ + 'id': str(task.id), + 'content': task.user_content, + 'priority': task.priority, + 'status': task.status, + 'createdAt': task.created_at.isoformat(), + 'completedAt': task.completed_at.isoformat() if task.completed_at else None, + 'eta_str': task.eta_str if task.eta_str else None, + 'estimatedCapacity': task.estimated_hours, + 'total_tokens': task.total_tokens, + 'commitLanguage': task.commit_language + }) + + log_action(logs_collection, 'tasks_listed', { + 'page': page, + 'limit': limit, + 'searchTerm': search_term, + 'status': status_filter, + 'total_found': tasks_paginated.total + }, user=numeric_user_id) + + return jsonify(formatted_tasks) + + except Exception as e: + log_action(logs_collection, 'tasks_list_error', {'error': str(e)}, user=numeric_user_id, level='error') + return jsonify({'error': 'Falha ao buscar tarefas'}), 500 + +@app.route('/api/tasks/details/', methods=['GET']) +def get_task_details(task_id): + """Obter detalhes de uma tarefa específica""" + user, _, status = auth_user(logs_collection, app) + if status != "success" or not user: + return jsonify({"error": "Usuário não autenticado ou inválido"}), 401 + + numeric_user_id = user.id + + try: + task = BackendTask.query.filter_by(id=task_id, user_id=numeric_user_id).first_or_404() + + task_details = { + 'id': str(task.id), + 'content': task.user_content, + 'priority': task.priority, + 'status': task.status, + 'createdAt': task.created_at.isoformat(), + 'completedAt': task.completed_at.isoformat() if task.completed_at else None, + 'eta_str': task.eta_str if task.eta_str else None, + 'estimatedHours': task.estimated_hours, + 'total_tokens': task.total_tokens, + 'commitLanguage': task.commit_language, + 'result': task.result if hasattr(task, 'result') else None # caso você armazene resultado + } + + log_action(logs_collection, 'task_details_accessed', { + 'task_id': task_id + }, user=numeric_user_id) + + return jsonify(task_details) + + except Exception as e: + logger.info(f"task_details_error {str(e)}") + log_action(logs_collection, 'task_details_error', {'task_id': task_id, 'error': str(e)}, user=numeric_user_id, level='error') + return jsonify({'error': 'Falha ao buscar detalhes da tarefa'}), 500 + + + + + + + + + + + + + @app.route("/api/billing/checkout", methods=["POST"]) def create_checkout(): data = request.get_json() diff --git a/backend/apichatkit.py b/backend/apichatkit.py new file mode 100644 index 000000000..c8ece3661 --- /dev/null +++ b/backend/apichatkit.py @@ -0,0 +1,93 @@ +"""FastAPI entrypoint wiring the ChatKit server and REST endpoints.""" + +from __future__ import annotations +import os +from typing import Any +from dotenv import load_dotenv +from chatkit.server import StreamingResult +from fastapi import Depends, FastAPI, HTTPException, Request, status +from fastapi.responses import Response, StreamingResponse +from starlette.responses import JSONResponse +from fastapi.middleware.cors import CORSMiddleware +from Modules.ChatKit.chat import ( + SoftwareAIAgentServer, + create_chatkit_server, +) +from Modules.ChatKit.facts import fact_store +from api import db, app as app_flask + + +os.chdir(os.path.join(os.path.dirname(__file__))) +load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), "Keys", 'keys.env')) + + +app = FastAPI(title="ChatKit API") +origins = [ + "http://localhost:4684", + "http://localhost:5170", +] + +app.add_middleware( + CORSMiddleware, + allow_origins=origins, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +_chatkit_server: SoftwareAIAgentServer | None = create_chatkit_server() + + +def get_chatkit_server() -> SoftwareAIAgentServer: + if _chatkit_server is None: + raise HTTPException( + status_code=status.HTTP_503_SERVICE_UNAVAILABLE, + detail=( + "ChatKit dependencies are missing. Install the ChatKit Python " + "package to enable the conversational endpoint." + ), + ) + return _chatkit_server + + +@app.post("/chatkit") +async def chatkit_endpoint( + request: Request, server: SoftwareAIAgentServer = Depends(get_chatkit_server) +) -> Response: + payload = await request.body() + result = await server.process(payload, {"request": request}) + if isinstance(result, StreamingResult): + return StreamingResponse(result, media_type="text/event-stream") + if hasattr(result, "json"): + return Response(content=result.json, media_type="application/json") + return JSONResponse(result) + + +@app.get("/facts") +async def list_facts() -> dict[str, Any]: + with app_flask.app_context(): + facts = await fact_store.list_saved() + return {"facts": [fact.as_dict() for fact in facts]} + + +@app.post("/facts/{fact_id}/save") +async def save_fact(fact_id: str) -> dict[str, Any]: + with app_flask.app_context(): + fact = await fact_store.mark_saved(fact_id) + if fact is None: + raise HTTPException(status_code=404, detail="Fact not found") + return {"fact": fact.as_dict()} + + +@app.post("/facts/{fact_id}/discard") +async def discard_fact(fact_id: str) -> dict[str, Any]: + with app_flask.app_context(): + fact = await fact_store.discard(fact_id) + if fact is None: + raise HTTPException(status_code=404, detail="Fact not found") + return {"fact": fact.as_dict()} + + +@app.get("/health") +async def health_check() -> dict[str, str]: + return {"status": "healthy"} diff --git a/backend/celery_app.py b/backend/celery_app.py new file mode 100644 index 000000000..1848f95c4 --- /dev/null +++ b/backend/celery_app.py @@ -0,0 +1,131 @@ +# celery_app.py +from celery import Celery +from celery.schedules import crontab +import os +from dotenv import load_dotenv +import asyncio +from datetime import datetime +import pytz + +from Models.postgreSQL import db +from Models.postgreSQL import BackendTask, TaskStatus +from Modules.Geters.next_task import get_next_task +from api import app + +os.chdir(os.path.join(os.path.dirname(__file__))) +load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), 'Keys', 'keys.env')) + +from Agents.AppAI.CodeBackend.ai import CodeBackEndAgent + +OPENAI_API_KEY = os.getenv("OPENAI_API_KEY") +REDIS_URL = "redis://redis:6379/0" +local_to_save = os.path.join(os.path.dirname(__file__), 'WorkEnv') +os.makedirs(local_to_save, exist_ok=True) + +celery_app = Celery( + "api", + broker=REDIS_URL, + backend=REDIS_URL +) + +celery_app.conf.update( + task_serializer='json', + accept_content=['json'], + task_track_started=True, # Permite o acompanhamento do progresso + worker_log_format="[%(asctime)s: %(levelname)s/%(processName)s] %(message)s", + worker_task_log_format="[%(asctime)s: %(levelname)s/%(processName)s] %(taskName)s %(task_id)s %(message)s", + loglevel='DEBUG', + worker_concurrency=10, + task_always_eager=False, + task_acks_late=False, # Garante que a tarefa só será confirmada após sua execução + task_reject_on_worker_lost=True, +) +celery_app.conf.worker_prefetch_multiplier = 1 +celery_app.conf.timezone = 'America/Sao_Paulo' +celery_app.conf.enable_utc = False +# celery_app.autodiscover_tasks(['.']) +# from tasks import * + +# celery_app.conf.beat_schedule = { +# "run-backend-agent-daily": { +# "task": "tasks.run_backend_agent", +# "schedule": crontab(hour=9, minute=0), +# "args": ("user_123", "Implementar endpoints do backend hoje", "pt") +# }, +# } + +celery_app.conf.beat_schedule = { + "process-dynamic-queue-every-minute": { + "task": "celery_app.process_dynamic_queue", + "schedule": crontab(minute="*/1"), + }, +} +@celery_app.task +def process_dynamic_queue(): + """ + Verifica o banco e envia a próxima tarefa para execução. + """ + with app.app_context(): + + task = get_next_task() + if not task: + print("🚫 Nenhuma tarefa pendente.") + return + + print(f"🚀 Executando tarefa #{task.id} | Prioridade: {task.priority}") + + async def execute_task(): + try: + eta_str = task.eta_str + eta_dt = None + if eta_str: + try: + eta_dt = datetime.fromisoformat(eta_str) + except ValueError: + print(f"Formato de 'eta' inválido. Use ISO 8601") + task.status = TaskStatus.FAILED.value + db.session.commit() + + if task.category == "desenvolvimento": + result = run_backend_agent.apply_async( + args=(task.id, task.user_id, task.user_content, task.commit_language), + eta=eta_dt + ) + print(f"Tarefa #{task.id} enviada com sucesso.") + return result + except Exception as e: + print(f"Erro ao enviar tarefa #{task.id}: {e}") + # Atualiza status para FAILED + task.status = TaskStatus.FAILED.value + db.session.commit() + + asyncio.run(execute_task()) + +@celery_app.task +def run_backend_agent(task_id, user_id: str, user_content: str, commit_language: str = "pt"): + """Task Celery para executar o CodeBackEndAgent.""" + with app.app_context(): + + print(f"🚀 Executando tarefa CodeBackEndAgent") + + # total_tokens, saved_files = asyncio.run( + # CodeBackEndAgent( + # OPENAI_API_KEY=OPENAI_API_KEY, + # user_id=user_id, + # user_content=user_content, + # commit_language=commit_language, + # local_to_save=local_to_save + # ) + # ) + total_tokens = 7800 + saved_files = '' + tz = pytz.timezone("America/Sao_Paulo") + if task_id: + task = BackendTask.query.get(task_id) + if task: + task.status = TaskStatus.DONE.value + task.completed_at = datetime.now(tz) + task.total_tokens = total_tokens + db.session.commit() + + return {"total_tokens": total_tokens, "saved_files": saved_files} \ No newline at end of file diff --git a/backend/celerybeat-schedule b/backend/celerybeat-schedule new file mode 100644 index 0000000000000000000000000000000000000000..bafda8998e089e22d787c8bc12c3acff35565a63 GIT binary patch literal 3072 zcmeHH&1w`u5bo90{foLG3IU@8FKToqNRkH#l7obR7%?JZ(=*#~8fSVoGd;pCEbJ)| z=vz7{-h2b`1w4xfAHb7GFFrzI)lRRg!T6g9tLdh?e!9An0W*hW0av6ug_+uyx@f05G1e8koh z%YGW@?1Pu*Gv(8zFYMo|+g^2e_2TxpY7=tB#=+h_3AB4)%>_@p#g1|DK1nKKNolvZ zWq~L9*ql4(&KOsWCuNfrs;S<86F9S*5mP9$WexY0GAhoHM2XUgak%YMKcS;!aQvMsY|E(HZW znY&QdY`QiiwIOLQq|xODQ(TD%0uIDYbG=&nP_5Kvos-dB*zqzEDj`#&OAonXN+pm% zm)o)ALaxRj-UIOlieRtMOg4r8DCB0{+%n%P!(stfxP6ekr#=G2s73I|34cI>G1B~wMGe$p$^q<05$42qyfMMMJ1sKl-F#kG? dzx^u)_^%8j{- usa filtro is_not_empty (show all with status definido). + Se status_value inválido -> usa is_not_empty e loga aviso. + """ + # validar status + valid_statuses = list_status_options(db_id) + if status_value: + if status_value not in valid_statuses: + logger.warning("Status '%s' não encontrado entre as opções do DB. Usando is_not_empty em vez de equals.", status_value) + status_filter = {"property": "Status", "status": {"is_not_empty": True}} + else: + status_filter = {"property": "Status", "status": {"equals": status_value}} + else: + status_filter = {"property": "Status", "status": {"is_not_empty": True}} + + results = [] + try: + has_more = True + start_cursor = None + while has_more: + query_kwargs = { + "database_id": db_id, + "filter": status_filter, + "page_size": 100 + } + if start_cursor: + query_kwargs["start_cursor"] = start_cursor + + res = notion.databases.query(**query_kwargs) + results.extend(res.get("results", [])) + has_more = res.get("has_more", False) + start_cursor = res.get("next_cursor") + logger.info("Página recebida: %d itens (has_more=%s)", len(res.get("results", [])), has_more) + + logger.info("Total de itens retornados: %d", len(results)) + return results + + except APIResponseError as e: + logger.exception("Erro ao consultar database: %s", e) + return [] + + +def safe_get_title(properties: dict): + """Retorna o título de forma segura. Usa chaves prováveis e faz fallback para id/url se vazio.""" + # chaves prováveis em PT/EN + candidate_keys = ["Nome do projeto", "Nome", "Name", "title"] + for key in candidate_keys: + prop = properties.get(key) + if prop and prop.get("type") in ("title",): + title_list = prop.get("title", []) + if title_list: + return title_list[0].get("plain_text", "").strip() + + # fallback: tentar qualquer propriedade do tipo title + for k, v in properties.items(): + if v.get("type") == "title": + tl = v.get("title", []) + if tl: + return tl[0].get("plain_text", "").strip() + + # se tudo vazio, retorna vazio para caller tratar + return "" + + +def get_rich_text_from_property(properties: dict, keys=None) -> str: + """ + Retorna o texto contido numa propriedade do tipo rich_text. + keys: lista de nomes possíveis da propriedade (ex: ["Descrição do projeto", "Descrição"]) + """ + if keys is None: + keys = ["Descrição do projeto", "Descrição", "Description"] + + for key in keys: + prop = properties.get(key) + if not prop: + continue + # suporta tanto rich_text quanto title (fallback) + if prop.get("type") == "rich_text": + parts = prop.get("rich_text", []) + texts = [seg.get("plain_text", "") for seg in parts if seg.get("plain_text")] + return sanitize_text(" ".join(texts)) + if prop.get("type") == "title": + parts = prop.get("title", []) + texts = [seg.get("plain_text", "") for seg in parts if seg.get("plain_text")] + return sanitize_text(" ".join(texts)) + return "" + + +def _extract_plain_from_rich_text_list(rich_list: list) -> str: + """Helper: junta os plain_texts de uma lista rich_text.""" + if not rich_list: + return "" + return sanitize_text(" ".join([seg.get("plain_text", "") for seg in rich_list if seg.get("plain_text")])) + +def sanitize_text(s: str) -> str: + """Remove quebras de linha e colapsa múltiplos espaços.""" + if not s: + return "" + s = s.replace("\r", " ").replace("\n", " ") + s = re.sub(r"\s+", " ", s).strip() + return s + +def get_page_text_recursive(block_id: str) -> str: + """ + Busca o conteúdo em blocos (children) de uma página (ou bloco) recursivamente. + Retorna todo texto concatenado (parágrafos, headings, lists, callouts, quotes). + """ + texts = [] + + try: + start_cursor = None + while True: + if start_cursor: + res = notion.blocks.children.list(block_id=block_id, start_cursor=start_cursor, page_size=100) + else: + res = notion.blocks.children.list(block_id=block_id, page_size=100) + + for block in res.get("results", []): + t = block.get("type") + # tipos comuns com rich_text + if t in ("paragraph", "heading_1", "heading_2", "heading_3", + "bulleted_list_item", "numbered_list_item", + "quote", "callout", "to_do"): + content = block.get(t, {}) + rich = content.get("rich_text", []) or content.get("text", []) or [] + texts.append(_extract_plain_from_rich_text_list(rich)) + + # toggles, páginas aninhadas e lists podem ter children -> recursão + if block.get("has_children"): + # chamar recursivamente e anexar + child_text = get_page_text_recursive(block["id"]) + if child_text: + texts.append(child_text) + + # outros tipos (embed, image, video) -> opcionalmente podemos logar ou extrair captions + if t in ("image", "video", "file"): + caption = block.get(t, {}).get("caption", []) + if caption: + texts.append(_extract_plain_from_rich_text_list(caption)) + + if not res.get("has_more"): + break + start_cursor = res.get("next_cursor") + + except Exception as e: + logger.exception("Erro ao ler blocks.children para %s: %s", block_id, e) + + return sanitize_text("\n".join([txt for txt in texts if txt])) + + +def extract_rich_segments_from_property(prop: dict): + """ + Recebe a propriedade (ex: prop = properties['Descrição do projeto']) + Retorna lista de segmentos: { 'text': str, 'href': str|None, 'annotations': {...}, 'type': 'text'|'mention'|'equation'} + """ + segments = [] + if not prop: + return segments + + # pode ser rich_text ou title + key = 'rich_text' if prop.get('type') == 'rich_text' else ('title' if prop.get('type') == 'title' else None) + if not key: + return segments + + for seg in prop.get(key, []): + # seg: objeto rich_text do Notion + text = seg.get('plain_text', '') or '' + href = None + # o texto pode estar em seg['text'] com link + if seg.get('href'): + href = seg.get('href') + elif seg.get('text') and seg['text'].get('link'): + # formato alternativo dependendo do SDK + link = seg['text'].get('link') + if isinstance(link, dict): + href = link.get('url') + + annotations = seg.get('annotations', {}) + rtype = seg.get('type') # 'text', 'mention', 'equation' + # para mentions podemos extrair info extra + mention = seg.get('mention') if rtype == 'mention' else None + + segments.append({ + 'text': text, + 'href': href, + 'annotations': annotations, + 'type': rtype, + 'mention': mention + }) + return segments + + +def rich_segments_to_markdown(segments: list) -> str: + """ + Converte uma lista de segmentos (do extract_rich_segments_from_property) para Markdown simples. + Suporta bold, italic, strikethrough, code, links. + """ + out = [] + for s in segments: + txt = s.get('text', '') + ann = s.get('annotations', {}) or {} + # aplicar código primeiro (backticks) + if ann.get('code'): + txt = f'`{txt}`' + # aplicar negrito / italic / strike / underline (underline não tem markdown direto) + if ann.get('bold'): + txt = f'**{txt}**' + if ann.get('italic'): + txt = f'*{txt}*' + if ann.get('strikethrough'): + txt = f'~~{txt}~~' + # link + href = s.get('href') + if href: + txt = f'[{txt}]({href})' + out.append(txt) + return ''.join(out) + + +# Versão que retorna segmentos ao invés de plain_text do seu get_page_text_recursive +def get_page_rich_segments_recursive(block_id: str) -> list: + """ + Retorna lista de segmentos ricos (mantendo annotations/href) para todo o corpo da página (recursivo). + Cada item desta lista é um dict: {'block_type': 'paragraph', 'segments': [ ... ] } + """ + results = [] + try: + start_cursor = None + while True: + if start_cursor: + res = notion.blocks.children.list(block_id=block_id, start_cursor=start_cursor, page_size=100) + else: + res = notion.blocks.children.list(block_id=block_id, page_size=100) + + for block in res.get('results', []): + t = block.get('type') + container = block.get(t, {}) or {} + segments = [] + + # extrair rich_text dependendo do tipo de bloco + if t in ("paragraph", "heading_1", "heading_2", "heading_3", + "bulleted_list_item", "numbered_list_item", + "quote", "callout", "to_do"): + # normalmente é container['rich_text'] + rich_list = container.get('rich_text') or container.get('text') or [] + for seg in rich_list: + segments.append({ + 'text': seg.get('plain_text', ''), + 'href': seg.get('href') or (seg.get('text') and seg.get('text').get('link') and seg.get('text').get('link').get('url')), + 'annotations': seg.get('annotations', {}), + 'type': seg.get('type'), + 'raw': seg + }) + + # adicionar o bloco com seus segmentos (mesmo que vazio) + results.append({ + 'block_id': block.get('id'), + 'block_type': t, + 'segments': segments + }) + + # recursão para children + if block.get('has_children'): + child_segments = get_page_rich_segments_recursive(block['id']) + # anexar os filhos como itens separados (ou você pode concatenar) + if child_segments: + results.extend(child_segments) + + if not res.get('has_more'): + break + start_cursor = res.get('next_cursor') + + except Exception as e: + logger.exception("Erro ao ler blocks.children para %s: %s", block_id, e) + + return results +def get_block_children(block_id: str) -> list: + """ + Retorna a lista de blocos filhos imediatos de `block_id`. + Cada item é o dict bruto do Notion para o bloco filho. + Faz paginação automaticamente. + """ + children = [] + try: + start_cursor = None + while True: + if start_cursor: + res = notion.blocks.children.list(block_id=block_id, start_cursor=start_cursor, page_size=100) + else: + res = notion.blocks.children.list(block_id=block_id, page_size=100) + + children.extend(res.get("results", [])) + + if not res.get("has_more"): + break + start_cursor = res.get("next_cursor") + + except Exception as e: + logger.exception("Erro ao recuperar filhos do bloco %s: %s", block_id, e) + + return children + + +def _make_block_node(block: dict) -> dict: + """ + Normaliza um bloco bruto do Notion para uma estrutura simples: + {id, type, plain_text (concat dos rich_text do bloco), raw} + """ + t = block.get("type") + container = block.get(t, {}) or {} + # extrair texto plain do bloco quando aplicável + rich = container.get("rich_text") or container.get("text") or [] + plain = _extract_plain_from_rich_text_list(rich) + return { + "id": block.get("id"), + "type": t, + "plain_text": plain, + "has_children": block.get("has_children", False), + "raw": block # se quiser campos completos depois + } + + +def get_block_tree(block_id: str, depth: int | None = None) -> dict: + """ + Constrói uma árvore com o bloco raiz e seus filhos recursivamente. + - block_id: id do bloco/página a partir do qual extrair + - depth: profundidade máxima (None = sem limite). depth=0 retorna apenas o nó raiz. + Retorna um dict: {'node': , 'children': [ ... ]} + """ + try: + # recuperar o bloco raiz (para pegar tipo/conteúdo do próprio bloco) + root = notion.blocks.retrieve(block_id=block_id) + except Exception as e: + logger.exception("Erro ao recuperar bloco raiz %s: %s", block_id, e) + return {"node": None, "children": []} + + node = _make_block_node(root) + + if depth is not None and depth <= 0: + return {"node": node, "children": []} + + # buscar filhos imediatos + raw_children = get_block_children(block_id) + children_nodes = [] + for child in raw_children: + child_node = _make_block_node(child) + # se tiver filhos e ainda permitimos profundidade, fazer recursão + if child_node["has_children"]: + # calcular nova profundidade + next_depth = None if depth is None else (depth - 1) + # recursão + subtree = get_block_tree(child_node["id"], depth=next_depth) + # substituir raw children pela árvore retornada + children_nodes.append({"node": child_node, "children": subtree["children"]}) + else: + children_nodes.append({"node": child_node, "children": []}) + + return {"node": node, "children": children_nodes} + +def retrieve_page(page_id: str, filter_properties: list | None = None) -> dict: + """ + Recupera uma página via notion.pages.retrieve. + - page_id: id da página (UUID do page retornado pela query do database) + - filter_properties: lista de property ids se quiser limitar (opcional) + Retorna o dict bruto da Notion (page). + """ + try: + if filter_properties: + # A SDK do notion-client aceita parametros por nome; montar kwargs se necessário + res = notion.pages.retrieve(page_id=page_id, filter_properties=filter_properties) + else: + res = notion.pages.retrieve(page_id=page_id) + logger.info("Página recuperada: id=%s", res.get("id")) + return res + except Exception as e: + logger.exception("Erro ao recuperar página %s: %s", page_id, e) + return {} + + +def retrieve_page_with_children(page_id: str, depth: int | None = None) -> dict: + """ + Recupera a página + árvore de blocos filhos (recursivo). + - page_id: id da página + - depth: profundidade de recursão (None = sem limite) + Retorna { 'page': , 'blocks_tree': }. + """ + page = retrieve_page(page_id) + if not page: + return {"page": None, "blocks_tree": None} + + # construir a árvore do corpo da página (raiz = page_id) + tree = get_block_tree(page_id, depth=depth) + logger.info("Árvore construída para página %s (children=%d)", page_id, len(tree.get("children", [])) if tree else 0) + return {"page": page, "blocks_tree": tree} + + +def main(): + logger.info("Iniciando busca de tarefas no Notion (database_id=%s)", DATABASE_ID) + + # 1) mostrar opções de status (útil para confirmar ortografia) + list_status_options(DATABASE_ID) + + # 2) buscar tarefas (filtra por TARGET_STATUS se válido, senão traz todos com status definido) + tarefas = fetch_all_tasks(DATABASE_ID, TARGET_STATUS) + + if not tarefas: + logger.info("Nenhuma tarefa retornada pela query.") + return + + # 3) iterar e imprimir de forma segura + for page in tarefas: + props = page.get("properties", {}) + logger.info(f"props {props}") + title = safe_get_title(props) + status_name = None + status_obj = props.get("Status", {}).get("status") + if status_obj: + status_name = status_obj.get("name") + # se title está vazio, usar parte da url ou id como fallback + if not title: + title = page.get("url") or page.get("id") + + logger.info(f"title {title}") + logger.info(f"status_name {status_name}") + prop = props.get("Descrição do projeto") + segments = extract_rich_segments_from_property(prop) + md = rich_segments_to_markdown(segments) + logger.info("Descrição (prop) MD: %s", md) + + page_id = page.get("id") + if page_id: + # 1) recuperar somente a página (metadados + propriedades) + page_obj = retrieve_page(page_id) + # imprimir propriedades resumidas + props = page_obj.get("properties", {}) + logger.info("Página recuperada tem %d propriedades", len(props)) + + # exemplo: pegar descrição (rich_text) direto do objeto page_obj + desc_prop = props.get("Descrição do projeto") or props.get("Description") or props.get("Description") + if desc_prop: + segments = extract_rich_segments_from_property(desc_prop) + logger.info("Descrição extraida da page.retrieve MD: %s", rich_segments_to_markdown(segments)) + + # 2) recuperar a árvore de blocos (se quiser o corpo completo) + page_with_children = retrieve_page_with_children(page_id, depth=None) + blocks_tree = page_with_children.get("blocks_tree") + if blocks_tree: + # exemplo simples: printar primeira camada de filhos + for child in blocks_tree.get("children", []): + node = child.get("node") + if node: + logger.info("child node: id=%s type=%s text_preview=%s", node['id'], node['type'], node['plain_text']['text_preview']) + break + + # exemplo: se quiser atualizar o status programaticamente + # page_id = page["id"] + # notion.pages.update(page_id=page_id, properties={ + # "Status": {"status": {"name": "Pendente"}} + # }) + # logger.info("Atualizado status da página %s para 'Pendente'", page_id) + + logger.info("Fim.") + + +if __name__ == "__main__": + main() diff --git a/build_in_windows.py b/build_in_windows.py new file mode 100644 index 000000000..027485d3f --- /dev/null +++ b/build_in_windows.py @@ -0,0 +1,14 @@ +import subprocess +import os + +os.chdir(os.path.join(os.path.dirname(__file__))) +# Adiciona o caminho do Docker Compose +os.environ["PATH"] += r";C:\Program Files\Docker\Docker\resources\bin" + +def executar_comando(comando): + """Executa um comando sem abrir um novo terminal (funciona dentro do contêiner).""" + subprocess.run(comando, shell=True) + + +executar_comando("docker-compose up --build -d ") + diff --git a/docker-compose.yml b/docker-compose.yml index e4d24a784..f9000523a 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -57,11 +57,11 @@ services: frontend-pipeline: image: frontend-pipeline-server:latest build: - context: ./Front-End/webpr + context: ./frontend/web dockerfile: Dockerfile container_name: frontend-pipeline volumes: - # - "./Front-End/webpr:/app" + - "./frontend/web:/app" - npm-modules:/app/node_modules working_dir: /app environment: @@ -71,7 +71,7 @@ services: - "4684:4684" restart: always command: > - sh -c "npm run dev:web -- --port 4684" + sh -c "npm run dev -- --port 4684" healthcheck: test: ["CMD", "curl", "-f", "http://127.0.0.1:4684"] interval: 129s @@ -82,13 +82,13 @@ services: pipeline-api: build: - context: ./Back-End + context: ./backend dockerfile: Dockerfile container_name: pipeline-api working_dir: /app privileged: true volumes: - # - ./Back-End:/app + - ./backend:/app - Invoices:/app/Invoices - /var/run/docker.sock:/var/run/docker.sock restart: always @@ -100,7 +100,7 @@ services: - FLASK_ENV=development - DATABASE_URL=postgresql://postgres:postgres@meu_postgres2:5432/meubanco - MONGO_URI=mongodb://root:rootpassword@mongodb:27017/controls_logs?authSource=admin - - REDIS_URL=redis://redis:6389/0 + - REDIS_URL=redis://redis:6379/0 depends_on: - meu_postgres2 - mongodb @@ -110,9 +110,62 @@ services: networks: - rede_externa + + chatkit-api: + build: + context: ./backend + dockerfile: Dockerfile + container_name: chatkit-api + working_dir: /app + privileged: true + volumes: + - ./backend:/app + - /var/run/docker.sock:/var/run/docker.sock + restart: always + ports: + - "5919:5919" + command: > + sh -c "uvicorn apichatkit:app --host 0.0.0.0 --port 5919" + environment: + - FLASK_ENV=development + - DATABASE_URL=postgresql://postgres:postgres@meu_postgres2:5432/meubanco + - MONGO_URI=mongodb://root:rootpassword@mongodb:27017/controls_logs?authSource=admin + - REDIS_URL=redis://redis:6379/0 + depends_on: + - meu_postgres2 + - mongodb + - redis + mem_limit: 800MB + cpus: "2.25" + networks: + - rede_externa + + celery_app: + build: + context: ./backend + dockerfile: Dockerfile + container_name: celery_app_backend + restart: always + command: celery -A celery_app.celery_app worker --beat --loglevel=info + volumes: + - ./backend:/app + depends_on: + redis: + condition: service_healthy + meu_postgres2: + condition: service_started + mongodb: + condition: service_started + working_dir: /app + networks: + - rede_externa + + + networks: rede_externa: - external: true + external: false + volumes: postgres_data: diff --git a/Front-End/git-genius-commit/.gitignore b/frontend/electron/.gitignore similarity index 100% rename from Front-End/git-genius-commit/.gitignore rename to frontend/electron/.gitignore diff --git a/Front-End/git-genius-commit/bun.lockb b/frontend/electron/bun.lockb similarity index 100% rename from Front-End/git-genius-commit/bun.lockb rename to frontend/electron/bun.lockb diff --git a/Front-End/git-genius-commit/components.json b/frontend/electron/components.json similarity index 100% rename from Front-End/git-genius-commit/components.json rename to frontend/electron/components.json diff --git a/Front-End/git-genius-commit/electron/main.cjs b/frontend/electron/electron/main.cjs similarity index 100% rename from Front-End/git-genius-commit/electron/main.cjs rename to frontend/electron/electron/main.cjs diff --git a/Front-End/git-genius-commit/electron/preload.cjs b/frontend/electron/electron/preload.cjs similarity index 100% rename from Front-End/git-genius-commit/electron/preload.cjs rename to frontend/electron/electron/preload.cjs diff --git a/Front-End/git-genius-commit/eslint.config.js b/frontend/electron/eslint.config.js similarity index 100% rename from Front-End/git-genius-commit/eslint.config.js rename to frontend/electron/eslint.config.js diff --git a/Front-End/git-genius-commit/index.html b/frontend/electron/index.html similarity index 100% rename from Front-End/git-genius-commit/index.html rename to frontend/electron/index.html diff --git a/Front-End/git-genius-commit/package-lock.json b/frontend/electron/package-lock.json similarity index 100% rename from Front-End/git-genius-commit/package-lock.json rename to frontend/electron/package-lock.json diff --git a/Front-End/git-genius-commit/package.json b/frontend/electron/package.json similarity index 100% rename from Front-End/git-genius-commit/package.json rename to frontend/electron/package.json diff --git a/Front-End/git-genius-commit/postcss.config.js b/frontend/electron/postcss.config.js similarity index 100% rename from Front-End/git-genius-commit/postcss.config.js rename to frontend/electron/postcss.config.js diff --git a/Front-End/git-genius-commit/public/favicon.ico b/frontend/electron/public/favicon.ico similarity index 100% rename from Front-End/git-genius-commit/public/favicon.ico rename to frontend/electron/public/favicon.ico diff --git a/Front-End/git-genius-commit/public/placeholder.svg b/frontend/electron/public/placeholder.svg similarity index 100% rename from Front-End/git-genius-commit/public/placeholder.svg rename to frontend/electron/public/placeholder.svg diff --git a/Front-End/git-genius-commit/public/robots.txt b/frontend/electron/public/robots.txt similarity index 100% rename from Front-End/git-genius-commit/public/robots.txt rename to frontend/electron/public/robots.txt diff --git a/Front-End/git-genius-commit/src/App.css b/frontend/electron/src/App.css similarity index 100% rename from Front-End/git-genius-commit/src/App.css rename to frontend/electron/src/App.css diff --git a/frontend/electron/src/App.tsx b/frontend/electron/src/App.tsx new file mode 100644 index 000000000..965c9eefa --- /dev/null +++ b/frontend/electron/src/App.tsx @@ -0,0 +1,96 @@ + +import { Toaster } from "@/components/ui/toaster"; +import { Toaster as Sonner } from "@/components/ui/sonner"; +import { TooltipProvider } from "@/components/ui/tooltip"; +import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; +import { BrowserRouter, Routes, Route, Navigate } from "react-router-dom"; +import Login from "./pages/Login"; +import GCL from "./pages/GCL"; +import NotFound from "./pages/NotFound"; +import Layout from "./components/layout"; + +import { AuthProvider, useAuth } from "./contexts/AuthContext"; +import ProtectedRoute from "./components/ProtectedRoute"; + + +const queryClient = new QueryClient(); + +// const AppRoutes = () => { +// const { isAuthenticated } = useAuth(); + +// return ( +// +// {isAuthenticated ? ( +// +// +// } /> +// } /> +// {/* } /> */} +// +// +// ) : ( +// +// } /> +// } /> + +// } /> +// +// )} +// +// ); +// }; + +// const App = () => ( +// +// +// +// +// +// +// +// +// +// ); + +// export default App; + + + +const App = () => { + return ( + + + + + + + + {/* Rota pública, sem necessidade de autenticacao */} + } /> + } /> + + + + {/* Rotas protegidas: só acessa se estiver autenticado */} + + + + + + } + /> + + {/* Caso nenhuma rota seja encontrada */} + } /> + + + + + + +); +} +export default App; \ No newline at end of file diff --git a/Front-End/git-genius-commit/src/components/CommitPreview.tsx b/frontend/electron/src/components/CommitPreview.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/CommitPreview.tsx rename to frontend/electron/src/components/CommitPreview.tsx diff --git a/Front-End/git-genius-commit/src/components/ConfigPanel.tsx b/frontend/electron/src/components/ConfigPanel.tsx similarity index 85% rename from Front-End/git-genius-commit/src/components/ConfigPanel.tsx rename to frontend/electron/src/components/ConfigPanel.tsx index 01a04a953..b65b3023a 100644 --- a/Front-End/git-genius-commit/src/components/ConfigPanel.tsx +++ b/frontend/electron/src/components/ConfigPanel.tsx @@ -35,6 +35,7 @@ export const ConfigPanel = () => { console.log("Config recebida:", data); setLocalConfig({ + repositoryName: data.repository_name, ai_model: data.ai_model ?? 'gpt-5-nano', lines_threshold: data.linesThreshold ?? 50, files_threshold: data.filesThreshold ?? 5, @@ -67,7 +68,7 @@ export const ConfigPanel = () => { "X-API-TOKEN": accessToken, }, body: JSON.stringify({ - + repositoryName: localConfig.repositoryName, ai_model: localConfig.ai_model, autoPush: localConfig.auto_push, AutoCreatePr: localConfig.auto_create_pr, @@ -105,29 +106,31 @@ export const ConfigPanel = () => {
    - + setLocalConfig({ ...localConfig, GITHUB_TOKEN: e.target.value })} className="font-mono text-sm bg-input border-border" />
    - {/*
    - +
    + setLocalConfig({ ...localConfig, api_endpoint: e.target.value })} + placeholder="ualers/Media-Cuts-Studio" + value={localConfig.repositoryName} + onChange={(e) => setLocalConfig({ ...localConfig, repositoryName: e.target.value })} className="font-mono text-sm bg-input border-border" /> -
    */} +
    - +
    -
    - - -
    {/* Thresholds */}
    diff --git a/Front-End/git-genius-commit/src/components/DiffViewer.tsx b/frontend/electron/src/components/DiffViewer.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/DiffViewer.tsx rename to frontend/electron/src/components/DiffViewer.tsx diff --git a/Front-End/git-genius-commit/src/components/ProtectedRoute.tsx b/frontend/electron/src/components/ProtectedRoute.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ProtectedRoute.tsx rename to frontend/electron/src/components/ProtectedRoute.tsx diff --git a/Front-End/git-genius-commit/src/components/RepositorySelector.tsx b/frontend/electron/src/components/RepositorySelector.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/RepositorySelector.tsx rename to frontend/electron/src/components/RepositorySelector.tsx diff --git a/Front-End/git-genius-commit/src/components/StatusMonitor.tsx b/frontend/electron/src/components/StatusMonitor.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/StatusMonitor.tsx rename to frontend/electron/src/components/StatusMonitor.tsx diff --git a/frontend/electron/src/components/app-sidebar.tsx b/frontend/electron/src/components/app-sidebar.tsx new file mode 100644 index 000000000..b746858ca --- /dev/null +++ b/frontend/electron/src/components/app-sidebar.tsx @@ -0,0 +1,131 @@ +import { + Activity, + Bot, + GitPullRequest, + GitBranch, + ScrollText, + Settings, + Zap, + User, + CreditCard, + FileText +} from "lucide-react" +import { NavLink, useLocation } from "react-router-dom" + +import { + Sidebar, + SidebarContent, + SidebarGroup, + SidebarGroupContent, + SidebarGroupLabel, + SidebarMenu, + SidebarMenuButton, + SidebarMenuItem, + SidebarHeader, + useSidebar, +} from "@/components/ui/sidebar" + +import { LogOut } from "lucide-react" +import { useNavigate } from "react-router-dom" +import { useAuth } from '@/contexts/AuthContext'; + +const navigationItems = [ + { + title: "Git Context Layer", + url: "/gitcontextlayer", + icon: GitPullRequest, + description: "IA de Commits" + }, + // { + // title: "Pull Requests", + // url: "/prs", + // icon: GitPullRequest, + // description: "Monitoramento de PRs" + // }, +] + +// Dentro do componente AppSidebar +export function AppSidebar() { + const { state } = useSidebar() + const location = useLocation() + const currentPath = location.pathname + const isCollapsed = state === "collapsed" + const navigate = useNavigate() + const { logout } = useAuth(); + + const isActive = (path: string) => { + if (path === "/") return currentPath === "/" + return currentPath.startsWith(path) + } + + const getNavClassName = (path: string) => { + const baseClasses = "w-full justify-start transition-all duration-200" + return isActive(path) + ? `${baseClasses} bg-gradient-primary text-primary-foreground shadow-glow` + : `${baseClasses} text-sidebar-foreground hover:bg-sidebar-accent hover:text-sidebar-accent-foreground` + } + + const handleLogout = () => { + logout(); + navigate("/login") + window.location.reload() + + } + + return ( + + +
    + + {!isCollapsed && ( +
    +

    PR AI - Git Context Layer

    +
    + )} +
    +     + + + + + Navegação + + + + {navigationItems.map((item) => ( + + + + + {!isCollapsed && ( +
    + {item.title} + {item.description} +
    + )} +     +     +     + ))} + + {/* Botão de Logout */} + + +
    + + {!isCollapsed && Logout} +
    +     +     + +     +     +     +     +     + ) +} diff --git a/Front-End/webpr/src/components/layout.tsx b/frontend/electron/src/components/layout.tsx similarity index 93% rename from Front-End/webpr/src/components/layout.tsx rename to frontend/electron/src/components/layout.tsx index 1f2e2e77c..2a946aa7c 100644 --- a/Front-End/webpr/src/components/layout.tsx +++ b/frontend/electron/src/components/layout.tsx @@ -15,13 +15,13 @@ const Layout = ({ children }: LayoutProps) => { {/* Header with sidebar trigger */}
    -
    + {/*
    Sistema Online
    -
    +
    */}
    {/* Main content */}
    diff --git a/Front-End/git-genius-commit/src/components/ui/accordion.tsx b/frontend/electron/src/components/ui/accordion.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/accordion.tsx rename to frontend/electron/src/components/ui/accordion.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/alert-dialog.tsx b/frontend/electron/src/components/ui/alert-dialog.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/alert-dialog.tsx rename to frontend/electron/src/components/ui/alert-dialog.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/alert.tsx b/frontend/electron/src/components/ui/alert.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/alert.tsx rename to frontend/electron/src/components/ui/alert.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/aspect-ratio.tsx b/frontend/electron/src/components/ui/aspect-ratio.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/aspect-ratio.tsx rename to frontend/electron/src/components/ui/aspect-ratio.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/avatar.tsx b/frontend/electron/src/components/ui/avatar.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/avatar.tsx rename to frontend/electron/src/components/ui/avatar.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/badge.tsx b/frontend/electron/src/components/ui/badge.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/badge.tsx rename to frontend/electron/src/components/ui/badge.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/breadcrumb.tsx b/frontend/electron/src/components/ui/breadcrumb.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/breadcrumb.tsx rename to frontend/electron/src/components/ui/breadcrumb.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/button.tsx b/frontend/electron/src/components/ui/button.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/button.tsx rename to frontend/electron/src/components/ui/button.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/calendar.tsx b/frontend/electron/src/components/ui/calendar.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/calendar.tsx rename to frontend/electron/src/components/ui/calendar.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/card.tsx b/frontend/electron/src/components/ui/card.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/card.tsx rename to frontend/electron/src/components/ui/card.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/carousel.tsx b/frontend/electron/src/components/ui/carousel.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/carousel.tsx rename to frontend/electron/src/components/ui/carousel.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/chart.tsx b/frontend/electron/src/components/ui/chart.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/chart.tsx rename to frontend/electron/src/components/ui/chart.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/checkbox.tsx b/frontend/electron/src/components/ui/checkbox.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/checkbox.tsx rename to frontend/electron/src/components/ui/checkbox.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/collapsible.tsx b/frontend/electron/src/components/ui/collapsible.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/collapsible.tsx rename to frontend/electron/src/components/ui/collapsible.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/command.tsx b/frontend/electron/src/components/ui/command.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/command.tsx rename to frontend/electron/src/components/ui/command.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/context-menu.tsx b/frontend/electron/src/components/ui/context-menu.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/context-menu.tsx rename to frontend/electron/src/components/ui/context-menu.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/dialog.tsx b/frontend/electron/src/components/ui/dialog.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/dialog.tsx rename to frontend/electron/src/components/ui/dialog.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/drawer.tsx b/frontend/electron/src/components/ui/drawer.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/drawer.tsx rename to frontend/electron/src/components/ui/drawer.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/dropdown-menu.tsx b/frontend/electron/src/components/ui/dropdown-menu.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/dropdown-menu.tsx rename to frontend/electron/src/components/ui/dropdown-menu.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/form.tsx b/frontend/electron/src/components/ui/form.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/form.tsx rename to frontend/electron/src/components/ui/form.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/hover-card.tsx b/frontend/electron/src/components/ui/hover-card.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/hover-card.tsx rename to frontend/electron/src/components/ui/hover-card.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/input-otp.tsx b/frontend/electron/src/components/ui/input-otp.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/input-otp.tsx rename to frontend/electron/src/components/ui/input-otp.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/input.tsx b/frontend/electron/src/components/ui/input.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/input.tsx rename to frontend/electron/src/components/ui/input.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/label.tsx b/frontend/electron/src/components/ui/label.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/label.tsx rename to frontend/electron/src/components/ui/label.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/menubar.tsx b/frontend/electron/src/components/ui/menubar.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/menubar.tsx rename to frontend/electron/src/components/ui/menubar.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/navigation-menu.tsx b/frontend/electron/src/components/ui/navigation-menu.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/navigation-menu.tsx rename to frontend/electron/src/components/ui/navigation-menu.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/pagination.tsx b/frontend/electron/src/components/ui/pagination.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/pagination.tsx rename to frontend/electron/src/components/ui/pagination.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/popover.tsx b/frontend/electron/src/components/ui/popover.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/popover.tsx rename to frontend/electron/src/components/ui/popover.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/progress.tsx b/frontend/electron/src/components/ui/progress.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/progress.tsx rename to frontend/electron/src/components/ui/progress.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/radio-group.tsx b/frontend/electron/src/components/ui/radio-group.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/radio-group.tsx rename to frontend/electron/src/components/ui/radio-group.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/resizable.tsx b/frontend/electron/src/components/ui/resizable.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/resizable.tsx rename to frontend/electron/src/components/ui/resizable.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/scroll-area.tsx b/frontend/electron/src/components/ui/scroll-area.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/scroll-area.tsx rename to frontend/electron/src/components/ui/scroll-area.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/select.tsx b/frontend/electron/src/components/ui/select.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/select.tsx rename to frontend/electron/src/components/ui/select.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/separator.tsx b/frontend/electron/src/components/ui/separator.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/separator.tsx rename to frontend/electron/src/components/ui/separator.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/sheet.tsx b/frontend/electron/src/components/ui/sheet.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/sheet.tsx rename to frontend/electron/src/components/ui/sheet.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/sidebar.tsx b/frontend/electron/src/components/ui/sidebar.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/sidebar.tsx rename to frontend/electron/src/components/ui/sidebar.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/skeleton.tsx b/frontend/electron/src/components/ui/skeleton.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/skeleton.tsx rename to frontend/electron/src/components/ui/skeleton.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/slider.tsx b/frontend/electron/src/components/ui/slider.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/slider.tsx rename to frontend/electron/src/components/ui/slider.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/sonner.tsx b/frontend/electron/src/components/ui/sonner.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/sonner.tsx rename to frontend/electron/src/components/ui/sonner.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/switch.tsx b/frontend/electron/src/components/ui/switch.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/switch.tsx rename to frontend/electron/src/components/ui/switch.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/table.tsx b/frontend/electron/src/components/ui/table.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/table.tsx rename to frontend/electron/src/components/ui/table.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/tabs.tsx b/frontend/electron/src/components/ui/tabs.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/tabs.tsx rename to frontend/electron/src/components/ui/tabs.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/textarea.tsx b/frontend/electron/src/components/ui/textarea.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/textarea.tsx rename to frontend/electron/src/components/ui/textarea.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/toast.tsx b/frontend/electron/src/components/ui/toast.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/toast.tsx rename to frontend/electron/src/components/ui/toast.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/toaster.tsx b/frontend/electron/src/components/ui/toaster.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/toaster.tsx rename to frontend/electron/src/components/ui/toaster.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/toggle-group.tsx b/frontend/electron/src/components/ui/toggle-group.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/toggle-group.tsx rename to frontend/electron/src/components/ui/toggle-group.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/toggle.tsx b/frontend/electron/src/components/ui/toggle.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/toggle.tsx rename to frontend/electron/src/components/ui/toggle.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/tooltip.tsx b/frontend/electron/src/components/ui/tooltip.tsx similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/tooltip.tsx rename to frontend/electron/src/components/ui/tooltip.tsx diff --git a/Front-End/git-genius-commit/src/components/ui/use-toast.ts b/frontend/electron/src/components/ui/use-toast.ts similarity index 100% rename from Front-End/git-genius-commit/src/components/ui/use-toast.ts rename to frontend/electron/src/components/ui/use-toast.ts diff --git a/Front-End/git-genius-commit/src/contexts/AuthContext.tsx b/frontend/electron/src/contexts/AuthContext.tsx similarity index 100% rename from Front-End/git-genius-commit/src/contexts/AuthContext.tsx rename to frontend/electron/src/contexts/AuthContext.tsx diff --git a/Front-End/git-genius-commit/src/hooks/use-mobile.tsx b/frontend/electron/src/hooks/use-mobile.tsx similarity index 100% rename from Front-End/git-genius-commit/src/hooks/use-mobile.tsx rename to frontend/electron/src/hooks/use-mobile.tsx diff --git a/Front-End/git-genius-commit/src/hooks/use-toast.ts b/frontend/electron/src/hooks/use-toast.ts similarity index 100% rename from Front-End/git-genius-commit/src/hooks/use-toast.ts rename to frontend/electron/src/hooks/use-toast.ts diff --git a/Front-End/git-genius-commit/src/hooks/useGitOperations.ts b/frontend/electron/src/hooks/useGitOperations.ts similarity index 100% rename from Front-End/git-genius-commit/src/hooks/useGitOperations.ts rename to frontend/electron/src/hooks/useGitOperations.ts diff --git a/Front-End/git-genius-commit/src/index.css b/frontend/electron/src/index.css similarity index 100% rename from Front-End/git-genius-commit/src/index.css rename to frontend/electron/src/index.css diff --git a/Front-End/git-genius-commit/src/lib/utils.ts b/frontend/electron/src/lib/utils.ts similarity index 100% rename from Front-End/git-genius-commit/src/lib/utils.ts rename to frontend/electron/src/lib/utils.ts diff --git a/Front-End/git-genius-commit/src/main.tsx b/frontend/electron/src/main.tsx similarity index 100% rename from Front-End/git-genius-commit/src/main.tsx rename to frontend/electron/src/main.tsx diff --git a/Front-End/git-genius-commit/src/pages/Index.tsx b/frontend/electron/src/pages/GCL.tsx similarity index 96% rename from Front-End/git-genius-commit/src/pages/Index.tsx rename to frontend/electron/src/pages/GCL.tsx index cefac5d87..cb25ba5cd 100644 --- a/Front-End/git-genius-commit/src/pages/Index.tsx +++ b/frontend/electron/src/pages/GCL.tsx @@ -1,4 +1,4 @@ -// src\pages\Index.tsx +// src\pages\GCL.tsx import { useState, useEffect, useCallback } from "react"; import { GitConfig } from "@/types/git"; import { RepositorySelector } from "@/components/RepositorySelector"; @@ -10,7 +10,7 @@ import { useGitOperations } from "@/hooks/useGitOperations"; import { toast } from "sonner"; import { GitBranch } from "lucide-react"; -const Index = () => { +const GCL = () => { const [repoPath, setRepoPath] = useState(""); const [config, setConfig] = useState(); const [gitDiff, setGitDiff] = useState(""); // Estado para armazenar o diff @@ -101,7 +101,7 @@ const Index = () => { return (
    {/* Header */} -
    + {/*
    @@ -115,7 +115,7 @@ const Index = () => {

    -
    +
    */} {/* Main Content */}
    @@ -164,4 +164,4 @@ const Index = () => { ); }; -export default Index; \ No newline at end of file +export default GCL; \ No newline at end of file diff --git a/Front-End/git-genius-commit/src/pages/Login.tsx b/frontend/electron/src/pages/Login.tsx similarity index 99% rename from Front-End/git-genius-commit/src/pages/Login.tsx rename to frontend/electron/src/pages/Login.tsx index 6685b10ae..09c9718de 100644 --- a/Front-End/git-genius-commit/src/pages/Login.tsx +++ b/frontend/electron/src/pages/Login.tsx @@ -63,7 +63,7 @@ const LoginForm: React.FC = () => { console.log('Token access_token_fallback:', token); login(token); - navigate(`/home`); + navigate(`/gitcontextlayer`); diff --git a/Front-End/git-genius-commit/src/pages/NotFound.tsx b/frontend/electron/src/pages/NotFound.tsx similarity index 100% rename from Front-End/git-genius-commit/src/pages/NotFound.tsx rename to frontend/electron/src/pages/NotFound.tsx diff --git a/Front-End/git-genius-commit/src/types/electron.d.ts b/frontend/electron/src/types/electron.d.ts similarity index 100% rename from Front-End/git-genius-commit/src/types/electron.d.ts rename to frontend/electron/src/types/electron.d.ts diff --git a/Front-End/git-genius-commit/src/types/git.ts b/frontend/electron/src/types/git.ts similarity index 97% rename from Front-End/git-genius-commit/src/types/git.ts rename to frontend/electron/src/types/git.ts index df02a865e..9220b672e 100644 --- a/Front-End/git-genius-commit/src/types/git.ts +++ b/frontend/electron/src/types/git.ts @@ -7,6 +7,7 @@ export interface GitConfig { auto_commit: boolean; auto_create_pr: boolean; throttle_ms: number; + repositoryName: string; GITHUB_TOKEN: string; ai_model?: string; commitLanguage?: string; diff --git a/Front-End/git-genius-commit/src/vite-env.d.ts b/frontend/electron/src/vite-env.d.ts similarity index 100% rename from Front-End/git-genius-commit/src/vite-env.d.ts rename to frontend/electron/src/vite-env.d.ts diff --git a/Front-End/git-genius-commit/tailwind.config.ts b/frontend/electron/tailwind.config.ts similarity index 100% rename from Front-End/git-genius-commit/tailwind.config.ts rename to frontend/electron/tailwind.config.ts diff --git a/Front-End/git-genius-commit/tsconfig.app.json b/frontend/electron/tsconfig.app.json similarity index 100% rename from Front-End/git-genius-commit/tsconfig.app.json rename to frontend/electron/tsconfig.app.json diff --git a/Front-End/git-genius-commit/tsconfig.json b/frontend/electron/tsconfig.json similarity index 100% rename from Front-End/git-genius-commit/tsconfig.json rename to frontend/electron/tsconfig.json diff --git a/Front-End/git-genius-commit/tsconfig.node.json b/frontend/electron/tsconfig.node.json similarity index 100% rename from Front-End/git-genius-commit/tsconfig.node.json rename to frontend/electron/tsconfig.node.json diff --git a/Front-End/git-genius-commit/vite.config.ts b/frontend/electron/vite.config.ts similarity index 100% rename from Front-End/git-genius-commit/vite.config.ts rename to frontend/electron/vite.config.ts diff --git a/frontend/web/.gitignore b/frontend/web/.gitignore new file mode 100644 index 000000000..0a7c4c06f --- /dev/null +++ b/frontend/web/.gitignore @@ -0,0 +1,10 @@ +node_modules/ +dist/ +.vite/ +.DS_Store +.env +.env.local +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* diff --git a/Front-End/webpr/Dockerfile b/frontend/web/Dockerfile similarity index 100% rename from Front-End/webpr/Dockerfile rename to frontend/web/Dockerfile diff --git a/frontend/web/README.md b/frontend/web/README.md new file mode 100644 index 000000000..5efec2744 --- /dev/null +++ b/frontend/web/README.md @@ -0,0 +1,30 @@ +# ChatKit Frontend + +This Vite + React client wraps the ChatKit web component in a slim list UI so you can focus on iterating with the backend agent. It mirrors the root README tone while surfacing the project paths and configuration you need day to day. + +## Quick Reference +- App entry point: `src/main.tsx` +- ChatKit config helper: `src/lib/config.ts` +- Fact list UI: `src/App.tsx` and `src/components` +- Styling: `src/index.css` (Tailwind layers) + +## Requirements +- Node.js 20+ +- Backend API running locally (defaults to `http://127.0.0.1:8000`). + +## Environment Variables + +Optional overrides include `VITE_CHATKIT_API_URL` and `VITE_FACTS_API_URL`. If you change them, restart `npm run dev` so Vite reloads the new values. + +## Install & Run + +```bash +npm install +npm run dev +``` + +The dev server is available at `http://127.0.0.1:5170`, which works for local development. To test remote access flows, you can temporarily expose the app with a tunnel (for example `ngrok http 5170`) after allowlisting that hostname. + +For production deployments, host the app on infrastructure you control behind a managed domain. Register that domain on the [domain allowlist page](https://platform.openai.com/settings/organization/security/domain-allowlist), add it to `frontend/vite.config.ts` under `server.allowedHosts`, and set the resulting key via `VITE_CHATKIT_API_DOMAIN_KEY`. + +Need backend guidance? See the root README for FastAPI setup and domain allowlisting steps. diff --git a/frontend/web/eslint.config.js b/frontend/web/eslint.config.js new file mode 100644 index 000000000..82289be45 --- /dev/null +++ b/frontend/web/eslint.config.js @@ -0,0 +1,36 @@ +import js from "@eslint/js"; +import globals from "globals"; +import reactHooks from "eslint-plugin-react-hooks"; +import reactRefresh from "eslint-plugin-react-refresh"; +import tseslint from "@typescript-eslint/eslint-plugin"; +import tsParser from "@typescript-eslint/parser"; + +export default [ + js.configs.recommended, + { + files: ["**/*.{ts,tsx}", "*.{ts,tsx}"], + languageOptions: { + parser: tsParser, + parserOptions: { + projectService: true, + ecmaFeatures: { + jsx: true, + }, + }, + globals: { + ...globals.browser, + ...globals.node, + }, + }, + plugins: { + "@typescript-eslint": tseslint, + "react-hooks": reactHooks, + "react-refresh": reactRefresh, + }, + rules: { + ...tseslint.configs["recommended-type-checked"].rules, + ...reactHooks.configs.recommended.rules, + "react-refresh/only-export-components": ["warn", { allowConstantExport: true }], + }, + }, +]; diff --git a/Front-End/webpr/index.html b/frontend/web/index.html similarity index 55% rename from Front-End/webpr/index.html rename to frontend/web/index.html index 4c4fcf03e..3074e5a7e 100644 --- a/Front-End/webpr/index.html +++ b/frontend/web/index.html @@ -3,15 +3,11 @@ - SoftwareAI - - - - - - + SoftwareAI + + + -
    diff --git a/Front-End/webpr/package-lock.json b/frontend/web/package-lock.json similarity index 79% rename from Front-End/webpr/package-lock.json rename to frontend/web/package-lock.json index 02da59dc4..5c08e5202 100644 --- a/Front-End/webpr/package-lock.json +++ b/frontend/web/package-lock.json @@ -1,14 +1,15 @@ { - "name": "vite_react_shadcn_ts", - "version": "0.0.0", + "name": "chatkit-frontend", + "version": "0.1.0", "lockfileVersion": 3, "requires": true, "packages": { "": { - "name": "vite_react_shadcn_ts", - "version": "0.0.0", + "name": "chatkit-frontend", + "version": "0.1.0", "dependencies": { "@hookform/resolvers": "^3.9.0", + "@openai/chatkit-react": "^0", "@radix-ui/react-accordion": "^1.2.0", "@radix-ui/react-alert-dialog": "^1.1.1", "@radix-ui/react-aspect-ratio": "^1.1.0", @@ -37,7 +38,7 @@ "@radix-ui/react-toggle-group": "^1.1.0", "@radix-ui/react-tooltip": "^1.1.4", "@stripe/stripe-js": "^7.9.0", - "@tanstack/react-query": "^5.56.2", + "@tanstack/react-query": "^5.90.2", "axios": "^1.12.2", "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", @@ -65,7 +66,7 @@ "devDependencies": { "@eslint/js": "^9.9.0", "@tailwindcss/typography": "^0.5.15", - "@types/node": "^22.5.5", + "@types/node": "^22.18.8", "@types/react": "^18.3.25", "@types/react-dom": "^18.3.0", "@vitejs/plugin-react-swc": "^3.5.0", @@ -85,6 +86,10 @@ "typescript-eslint": "^8.0.1", "vite": "^5.4.1", "wait-on": "^9.0.1" + }, + "engines": { + "node": ">=18.18", + "npm": ">=9" } }, "node_modules/@alloc/quick-lru": { @@ -100,9 +105,9 @@ } }, "node_modules/@babel/helper-string-parser": { - "version": "7.25.9", - "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.25.9.tgz", - "integrity": "sha512-4A/SCr/2KLd5jrtOMFzaKjVtAei3+2r/NChoBNoZ3EyP/+GlhoaEGoWOZUmFmoITP7zOJyHIMm+DYRd8o3PvHA==", + "version": "7.27.1", + "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.27.1.tgz", + "integrity": "sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA==", "dev": true, "license": "MIT", "engines": { @@ -110,9 +115,9 @@ } }, "node_modules/@babel/helper-validator-identifier": { - "version": "7.25.9", - "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.25.9.tgz", - "integrity": "sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ==", + "version": "7.27.1", + "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.27.1.tgz", + "integrity": "sha512-D2hP9eA+Sqx1kBZgzxZh0y1trbuU+JoDkiEwqhQ36nodYqJwyEIhPSdMNd7lOm/4io72luTPWH20Yda0xOuUow==", "dev": true, "license": "MIT", "engines": { @@ -120,13 +125,13 @@ } }, "node_modules/@babel/parser": { - "version": "7.25.9", - "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.25.9.tgz", - "integrity": 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"regenerator-runtime": "^0.14.0" - }, "engines": { "node": ">=6.9.0" } }, "node_modules/@babel/types": { - "version": "7.25.9", - "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.25.9.tgz", - "integrity": "sha512-OwS2CM5KocvQ/k7dFJa8i5bNGJP0hXWfVCfDkqRFP1IreH1JDC7wG6eCYCi0+McbfT8OR/kNqsI0UU0xP9H6PQ==", + "version": "7.28.4", + "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.28.4.tgz", + "integrity": "sha512-bkFqkLhh3pMBUQQkpVgWDWq/lqzc2678eUyDlTBhRqhCHFguYYGM0Efga7tYk4TogG/3x0EEl66/OQ+WGbWB/Q==", "dev": true, "license": "MIT", "dependencies": { - "@babel/helper-string-parser": "^7.25.9", - "@babel/helper-validator-identifier": "^7.25.9" + "@babel/helper-string-parser": "^7.27.1", + "@babel/helper-validator-identifier": "^7.27.1" }, "engines": { "node": ">=6.9.0" @@ -197,6 +199,17 @@ "node": ">=10.12.0" } }, + "node_modules/@electron/asar/node_modules/brace-expansion": { + "version": "1.1.12", + "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.12.tgz", + "integrity": "sha512-9T9UjW3r0UW5c1Q7GTwllptXwhvYmEzFhzMfZ9H7FQWt+uZePjZPjBP/W1ZEyZ1twGWom5/56TF4lPcqjnDHcg==", + "dev": true, + "license": "MIT", + "dependencies": { + "balanced-match": "^1.0.0", + "concat-map": "0.0.1" + } + }, "node_modules/@electron/asar/node_modules/commander": { "version": "5.1.0", "resolved": "https://registry.npmjs.org/commander/-/commander-5.1.0.tgz", @@ -207,26 +220,17 @@ "node": ">= 6" } }, - "node_modules/@electron/asar/node_modules/glob": { - "version": "7.2.3", - "resolved": "https://registry.npmjs.org/glob/-/glob-7.2.3.tgz", - "integrity": "sha512-nFR0zLpU2YCaRxwoCJvL6UvCH2JFyFVIvwTLsIf21AuHlMskA1hhTdk+LlYJtOlYt9v6dvszD2BGRqBL+iQK9Q==", - "deprecated": "Glob versions prior to v9 are no longer supported", + "node_modules/@electron/asar/node_modules/minimatch": { + "version": "3.1.2", + "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz", + "integrity": 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"https://registry.npmjs.org/glob/-/glob-8.1.0.tgz", @@ -597,16 +591,6 @@ "node": ">=16.4" } }, - "node_modules/@electron/universal/node_modules/brace-expansion": { - "version": "2.0.2", - "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.2.tgz", - "integrity": "sha512-Jt0vHyM+jmUBqojB7E1NIYadt0vI0Qxjxd2TErW94wDz+E2LAm5vKMXXwg6ZZBTHPuUlDgQHKXvjGBdfcF1ZDQ==", - "dev": true, - "license": "MIT", - "dependencies": { - "balanced-match": "^1.0.0" - } - }, "node_modules/@electron/universal/node_modules/fs-extra": { "version": "11.3.2", "resolved": "https://registry.npmjs.org/fs-extra/-/fs-extra-11.3.2.tgz", @@ -635,22 +619,6 @@ "graceful-fs": "^4.1.6" } }, - "node_modules/@electron/universal/node_modules/minimatch": { - "version": "9.0.5", - "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-9.0.5.tgz", - "integrity": "sha512-G6T0ZX48xgozx7587koeX9Ys2NYy6Gmv//P89sEte9V9whIapMNF4idKxnW2QtCcLiTWlb/wfCabAtAFWhhBow==", - "dev": true, - "license": "ISC", - "dependencies": { - "brace-expansion": "^2.0.1" - }, - "engines": { - "node": ">=16 || 14 >=14.17" - }, - "funding": { - "url": "https://github.com/sponsors/isaacs" - } - }, "node_modules/@electron/universal/node_modules/universalify": { "version": "2.0.1", "resolved": "https://registry.npmjs.org/universalify/-/universalify-2.0.1.tgz", @@ -735,9 +703,9 @@ "license": "MIT" }, "node_modules/@esbuild/aix-ppc64": { - "version": "0.21.5", - "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.21.5.tgz", - "integrity": "sha512-1SDgH6ZSPTlggy1yI6+Dbkiz8xzpHJEVAlF/AM1tHPLsf5STom9rwtjE4hKAF20FfXXNTFqEYXyJNWh1GiZedQ==", + "version": "0.25.10", + "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.25.10.tgz", + "integrity": "sha512-0NFWnA+7l41irNuaSVlLfgNT12caWJVLzp5eAVhZ0z1qpxbockccEt3s+149rE64VUI3Ml2zt8Nv5JVc4QXTsw==", "cpu": [ "ppc64" ], @@ -748,13 +716,13 @@ "aix" ], "engines": { - "node": ">=12" + "node": ">=18" } }, "node_modules/@esbuild/android-arm": { - "version": "0.21.5", - "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.21.5.tgz", - "integrity": "sha512-vCPvzSjpPHEi1siZdlvAlsPxXl7WbOVUBBAowWug4rJHb68Ox8KualB+1ocNvT5fjv6wpkX6o/iEpbDrf68zcg==", + "version": "0.25.10", + "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.25.10.tgz", + "integrity": "sha512-dQAxF1dW1C3zpeCDc5KqIYuZ1tgAdRXNoZP7vkBIRtKZPYe2xVr/d3SkirklCHudW1B45tGiUlz2pUWDfbDD4w==", "cpu": [ "arm" ], @@ -765,13 +733,13 @@ "android" ], "engines": { - "node": ">=12" + "node": ">=18" } }, "node_modules/@esbuild/android-arm64": { - "version": "0.21.5", - "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.21.5.tgz", - "integrity": "sha512-c0uX9VAUBQ7dTDCjq+wdyGLowMdtR/GoC2U5IYk/7D1H1JYC0qseD7+11iMP2mRLN9RcCMRcjC4YMclCzGwS/A==", + "version": "0.25.10", + "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.25.10.tgz", + 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>=20.0.0", - "less": "*", - "lightningcss": "^1.21.0", - "sass": "*", - "sass-embedded": "*", - "stylus": "*", - "sugarss": "*", - "terser": "^5.4.0" - }, - "peerDependenciesMeta": { - "@types/node": { - "optional": true - }, - "less": { - "optional": true - }, - "lightningcss": { - "optional": true - }, - "sass": { - "optional": true - }, - "sass-embedded": { - "optional": true - }, - "stylus": { - "optional": true - }, - "sugarss": { - "optional": true - }, - "terser": { - "optional": true - } + "@esbuild/aix-ppc64": "0.21.5", + "@esbuild/android-arm": "0.21.5", + "@esbuild/android-arm64": "0.21.5", + "@esbuild/android-x64": "0.21.5", + "@esbuild/darwin-arm64": "0.21.5", + "@esbuild/darwin-x64": "0.21.5", + "@esbuild/freebsd-arm64": "0.21.5", + "@esbuild/freebsd-x64": "0.21.5", + "@esbuild/linux-arm": "0.21.5", + "@esbuild/linux-arm64": "0.21.5", + "@esbuild/linux-ia32": "0.21.5", + "@esbuild/linux-loong64": "0.21.5", + "@esbuild/linux-mips64el": "0.21.5", + "@esbuild/linux-ppc64": "0.21.5", + "@esbuild/linux-riscv64": "0.21.5", + "@esbuild/linux-s390x": "0.21.5", + "@esbuild/linux-x64": "0.21.5", + "@esbuild/netbsd-x64": "0.21.5", + "@esbuild/openbsd-x64": "0.21.5", + "@esbuild/sunos-x64": "0.21.5", + "@esbuild/win32-arm64": "0.21.5", + "@esbuild/win32-ia32": "0.21.5", + "@esbuild/win32-x64": "0.21.5" } }, "node_modules/wait-on": { @@ -11558,15 +11511,6 @@ "url": "https://github.com/chalk/wrap-ansi?sponsor=1" } }, - "node_modules/wrap-ansi-cjs/node_modules/ansi-regex": { - "version": "5.0.1", - "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz", - "integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==", - "license": "MIT", - "engines": { - "node": ">=8" - } - }, "node_modules/wrap-ansi-cjs/node_modules/emoji-regex": { "version": "8.0.0", "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz", @@ -11587,22 +11531,22 @@ "node": ">=8" } }, - "node_modules/wrap-ansi-cjs/node_modules/strip-ansi": { - "version": "6.0.1", - "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz", - "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==", + "node_modules/wrap-ansi/node_modules/ansi-regex": { + "version": "6.2.2", + "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.2.2.tgz", + "integrity": "sha512-Bq3SmSpyFHaWjPk8If9yc6svM8c56dB5BAtW4Qbw5jHTwwXXcTLoRMkpDJp6VL0XzlWaCHTXrkFURMYmD0sLqg==", "license": "MIT", - "dependencies": { - "ansi-regex": "^5.0.1" - }, "engines": { - "node": ">=8" + "node": ">=12" + }, + "funding": { + "url": "https://github.com/chalk/ansi-regex?sponsor=1" } }, "node_modules/wrap-ansi/node_modules/ansi-styles": { - "version": "6.2.1", - "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz", - "integrity": "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==", + "version": "6.2.3", + "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.3.tgz", + "integrity": "sha512-4Dj6M28JB+oAH8kFkTLUo+a2jwOFkuqb3yucU0CANcRRUbxS0cP0nZYCGjcc3BNXwRIsUVmDGgzawme7zvJHvg==", "license": "MIT", "engines": { "node": ">=12" @@ -11611,6 +11555,21 @@ "url": "https://github.com/chalk/ansi-styles?sponsor=1" } }, + "node_modules/wrap-ansi/node_modules/strip-ansi": { + "version": "7.1.2", + "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.2.tgz", + "integrity": "sha512-gmBGslpoQJtgnMAvOVqGZpEz9dyoKTCzy2nfz/n8aIFhN/jCE/rCmcxabB6jOOHV+0WNnylOxaxBQPSvcWklhA==", + "license": "MIT", + "dependencies": { + "ansi-regex": "^6.0.1" + }, + "engines": { + "node": ">=12" + }, + "funding": { + "url": "https://github.com/chalk/strip-ansi?sponsor=1" + } + }, "node_modules/wrappy": { "version": "1.0.2", "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz", @@ -11646,15 +11605,15 @@ "license": "ISC" }, "node_modules/yaml": { - "version": "2.6.0", - "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.6.0.tgz", - "integrity": "sha512-a6ae//JvKDEra2kdi1qzCyrJW/WZCgFi8ydDV+eXExl95t+5R+ijnqHJbz9tmMh8FUjx3iv2fCQ4dclAQlO2UQ==", + "version": "2.8.1", + "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.8.1.tgz", + "integrity": "sha512-lcYcMxX2PO9XMGvAJkJ3OsNMw+/7FKes7/hgerGUYWIoWu5j/+YQqcZr5JnPZWzOsEBgMbSbiSTn/dv/69Mkpw==", "license": "ISC", "bin": { "yaml": "bin.mjs" }, "engines": { - "node": ">= 14" + "node": ">= 14.6" } }, "node_modules/yargs": { @@ -11686,16 +11645,6 @@ "node": ">=12" } }, - "node_modules/yargs/node_modules/ansi-regex": { - "version": "5.0.1", - "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz", - "integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==", - "dev": true, - "license": "MIT", - "engines": { - "node": ">=8" - } - }, "node_modules/yargs/node_modules/emoji-regex": { "version": "8.0.0", "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz", @@ -11718,19 +11667,6 @@ "node": ">=8" } }, - "node_modules/yargs/node_modules/strip-ansi": { - "version": "6.0.1", - "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz", - "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==", - "dev": true, - "license": "MIT", - "dependencies": { - "ansi-regex": "^5.0.1" - }, - "engines": { - "node": ">=8" - } - }, "node_modules/yauzl": { "version": "2.10.0", "resolved": "https://registry.npmjs.org/yauzl/-/yauzl-2.10.0.tgz", @@ -11756,9 +11692,9 @@ } }, "node_modules/zod": { - "version": "3.23.8", - "resolved": "https://registry.npmjs.org/zod/-/zod-3.23.8.tgz", - "integrity": "sha512-XBx9AXhXktjUqnepgTiE5flcKIYWi/rme0Eaj+5Y0lftuGBq+jyRu/md4WnuxqgP1ubdpNCsYEYPxrzVHD8d6g==", + "version": "3.25.76", + "resolved": "https://registry.npmjs.org/zod/-/zod-3.25.76.tgz", + "integrity": "sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ==", "license": "MIT", "funding": { "url": "https://github.com/sponsors/colinhacks" diff --git a/Front-End/webpr/package.json b/frontend/web/package.json similarity index 73% rename from Front-End/webpr/package.json rename to frontend/web/package.json index 6bfecd05c..31bc583e3 100644 --- a/Front-End/webpr/package.json +++ b/frontend/web/package.json @@ -1,22 +1,21 @@ { - "name": "vite_react_shadcn_ts", + "name": "chatkit-frontend", + "version": "0.1.0", "private": true, - "version": "0.0.0", "type": "module", - "main": "electron/main.cjs", "scripts": { - "dev:web": "vite", - "dev:electron": "cross-env NODE_ENV=development electron .", - "dev": "concurrently -k -n web,electron -c cyan,magenta \"npm run dev:web\" \"wait-on http://localhost:4343 && npm run dev:electron\"", - "build:web": "vite build", - "build:web:dev": "vite build --mode development", - "build:electron": "electron-builder --publish never", - "dist": "npm run build:web && npm run build:electron", - "lint": "eslint .", - "preview": "vite preview" + "dev": "vite", + "build": "vite build", + "preview": "vite preview", + "lint": "eslint . --ext ts,tsx" + }, + "engines": { + "node": ">=18.18", + "npm": ">=9" }, "dependencies": { "@hookform/resolvers": "^3.9.0", + "@openai/chatkit-react": "^0", "@radix-ui/react-accordion": "^1.2.0", "@radix-ui/react-alert-dialog": "^1.1.1", "@radix-ui/react-aspect-ratio": "^1.1.0", @@ -45,7 +44,7 @@ "@radix-ui/react-toggle-group": "^1.1.0", "@radix-ui/react-tooltip": "^1.1.4", "@stripe/stripe-js": "^7.9.0", - "@tanstack/react-query": "^5.56.2", + "@tanstack/react-query": "^5.90.2", "axios": "^1.12.2", "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", @@ -73,7 +72,7 @@ "devDependencies": { "@eslint/js": "^9.9.0", "@tailwindcss/typography": "^0.5.15", - "@types/node": "^22.5.5", + "@types/node": "^22.18.8", "@types/react": "^18.3.25", "@types/react-dom": "^18.3.0", "@vitejs/plugin-react-swc": "^3.5.0", @@ -93,25 +92,5 @@ "typescript-eslint": "^8.0.1", "vite": "^5.4.1", "wait-on": "^9.0.1" - }, - "build": { - "appId": "com.seuapp.electron", - "productName": "ViteReactElectron", - "files": [ - "dist/**/*", - "electron/**/*" - ], - "directories": { - "buildResources": "build" - }, - "win": { - "target": "nsis" - }, - "mac": { - "target": "dmg" - }, - "linux": { - "target": "AppImage" - } } } diff --git a/Front-End/webpr/postcss.config.js b/frontend/web/postcss.config.cjs similarity index 73% rename from Front-End/webpr/postcss.config.js rename to frontend/web/postcss.config.cjs index 2e7af2b7f..12a703d90 100644 --- a/Front-End/webpr/postcss.config.js +++ b/frontend/web/postcss.config.cjs @@ -1,6 +1,6 @@ -export default { +module.exports = { plugins: { tailwindcss: {}, autoprefixer: {}, }, -} +}; diff --git a/Front-End/webpr/src/App.tsx b/frontend/web/src/App.tsx similarity index 77% rename from Front-End/webpr/src/App.tsx rename to frontend/web/src/App.tsx index e84cbaa63..cf0103bd9 100644 --- a/Front-End/webpr/src/App.tsx +++ b/frontend/web/src/App.tsx @@ -1,7 +1,7 @@ -import { Toaster } from "@/components/ui/toaster"; -import { Toaster as Sonner } from "@/components/ui/sonner"; -import { TooltipProvider } from "@/components/ui/tooltip"; +import { Toaster } from "./components/ui/toaster"; +import { Toaster as Sonner } from "./components/ui/sonner"; +import { TooltipProvider } from "./components/ui/tooltip"; import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; import { BrowserRouter, Routes, Route, Navigate } from "react-router-dom"; import Layout from "./components/layout"; @@ -11,7 +11,6 @@ import Logs from "./pages/Logs"; import Controls from "./pages/Controls"; import Settings from "./pages/Settings"; import NotFound from "./pages/NotFound"; -import Login from "./pages/Login"; import Workflows from "./pages/Workflows"; import MyAccount from "./pages/MyAccount"; import BillingPage from "./pages/Billing"; @@ -23,16 +22,27 @@ import CheckoutSuccess from "./pages/CheckoutSuccess"; import CheckoutError from "./pages/CheckoutError"; import CommitMessages from "./pages/CommitMessages"; +import AgentTasks from "./pages/AgentTasks"; - +import Chat from "./pages/Chat"; +import Login from "./pages/Login"; import { AuthProvider, useAuth } from "./contexts/AuthContext"; -import ProtectedRoute from "./components/ProtectedRoute"; +import type { ColorScheme } from "./hooks/useColorScheme"; +import { useColorScheme } from "./hooks/useColorScheme"; +import { useCallback } from "react"; const queryClient = new QueryClient(); const AppRoutes = () => { const { isAuthenticated } = useAuth(); + const { scheme, setScheme } = useColorScheme(); + const handleThemeChange = useCallback( + (value: "light" | "dark") => { + setScheme(value); + }, + [setScheme] + ); return ( @@ -40,6 +50,9 @@ const AppRoutes = () => { } /> + } /> + + } /> } /> } /> } /> @@ -52,19 +65,23 @@ const AppRoutes = () => { } /> } /> + + ) : ( - + } /> } /> + } /> } /> } /> } /> + )} diff --git a/Front-End/webpr/src/assets/hero-image.jpg b/frontend/web/src/assets/hero-image.jpg similarity index 100% rename from Front-End/webpr/src/assets/hero-image.jpg rename to frontend/web/src/assets/hero-image.jpg diff --git a/Front-End/webpr/src/assets/logo.png b/frontend/web/src/assets/logo.png similarity index 100% rename from Front-End/webpr/src/assets/logo.png rename to frontend/web/src/assets/logo.png diff --git a/frontend/web/src/components/ChatKitPanel.tsx b/frontend/web/src/components/ChatKitPanel.tsx new file mode 100644 index 000000000..ed22b95b9 --- /dev/null +++ b/frontend/web/src/components/ChatKitPanel.tsx @@ -0,0 +1,191 @@ +import { useRef } from "react"; +import { ChatKit, useChatKit } from "@openai/chatkit-react"; +import { + CHATKIT_API_URL, + CHATKIT_API_DOMAIN_KEY, + STARTER_PROMPTS, + PLACEHOLDER_INPUT, + GREETING, +} from "../lib/config"; +import type { Actions } from "../hooks/useActions"; +import type { ColorScheme } from "../hooks/useColorScheme"; + + +// Configurações padrão para attachments — ajuste conforme necessário +const DEFAULT_MAX_SIZE = 100 * 1024 * 1024; // 100MB +const DEFAULT_MAX_COUNT = 10; +const DEFAULT_ACCEPT = { +"image/*": [".png", ".jpg", ".jpeg", ".gif", ".webp"], +"video/*": [".mp4", ".mov", ".webm"], +"application/pdf": [".pdf"], +"text/plain": [".txt"], +"application/zip": [".zip"], +}; + + +type ChatKitPanelProps = { + theme: ColorScheme; + onWidgetAction: (action: Actions) => Promise; + onResponseEnd: () => void; + onThemeRequest: (scheme: ColorScheme) => void; +}; + +export function ChatKitPanel({ + theme, + onWidgetAction, + onResponseEnd, + onThemeRequest, +}: ChatKitPanelProps) { + const processedFacts = useRef(new Set()); + function validateAttachments(files?: FileList | null) { + const errors: string[] = []; + if (!files || files.length === 0) return { ok: true, errors }; + + + if (files.length > DEFAULT_MAX_COUNT) { + errors.push(`Máximo de anexos permitido: ${DEFAULT_MAX_COUNT}`); + } + + + for (let i = 0; i < files.length; i++) { + const f = files[i]; + if (f.size > DEFAULT_MAX_SIZE) { + errors.push(`${f.name}: excede o tamanho máximo de ${Math.round( + DEFAULT_MAX_SIZE / (1024 * 1024) + )}MB`); + } + // validação de tipo com base na extensão (aceita ou não) + // nota: checagem de MIME nem sempre é confiável do lado do cliente + const ext = (f.name.match(/\.[0-9a-z]+$/i)?.[0] || "").toLowerCase(); + const allowedExts = Object.values(DEFAULT_ACCEPT).flat(); + if (allowedExts.length > 0 && !allowedExts.includes(ext)) { + errors.push(`${f.name}: tipo não permitido`); + } + } + + + return { ok: errors.length === 0, errors }; + } + const chatkit = useChatKit({ + api: { + url: CHATKIT_API_URL, + domainKey: CHATKIT_API_DOMAIN_KEY, + // uploadStrategy: { + // type: "direct", // ou "hosted" dependendo do seu fluxo + // uploadUrl: "https://meu-backend.example.com/chatkit/upload", + // }, + }, + theme: { + colorScheme: theme, + color: { + grayscale: { + hue: 220, + tint: 6, + shade: theme === "dark" ? -1 : -4, + }, + accent: { + primary: theme === "dark" ? "#f1f5f9" : "#0f172a", + level: 1, + }, + }, + radius: "round", + }, + startScreen: { + greeting: GREETING, + prompts: STARTER_PROMPTS, + }, + + composer: { + placeholder: PLACEHOLDER_INPUT, + // attachments: { + // enabled: true, + // maxSize: DEFAULT_MAX_SIZE, + // maxCount: DEFAULT_MAX_COUNT, + // accept: DEFAULT_ACCEPT, + // }, + tools: [ + { + id: 'chart_generator', + label: 'Gere Graficos', + shortLabel: 'Graficos', + placeholderOverride: 'Crie Graficos Com IA', + icon: 'chart', + pinned: true, + } + ], + models: [ + { + id: 'Chat', + label: 'Chat', + description: 'Apenas Chat' + }, + { + id: 'documentation', + label: 'Documentation', + description: 'Documentar apis e codigos' + } + // ...and 2 more models + ], + }, + threadItemActions: { + feedback: false, + }, + + onClientTool: async (invocation) => { + console.log(`onClientTool invocation ${invocation}`); + if (invocation.name === "chart_generator") { + const id = String(invocation.params.fact_id ?? ""); + console.log(`onClientTool chart_generator ${id}`); + const requested = "light" + console.debug("[ChatKitPanel] switch_theme teste", requested); + onThemeRequest(requested); + return { success: false }; + } + if (invocation.name === "switch_theme") { + const requested = invocation.params.theme; + if (requested === "light" || requested === "dark") { + if (import.meta.env.DEV) { + console.debug("[ChatKitPanel] switch_theme", requested); + } + onThemeRequest(requested); + return { success: true }; + } + return { success: false }; + } + + if (invocation.name === "record_fact") { + const id = String(invocation.params.fact_id ?? ""); + const text = String(invocation.params.fact_text ?? ""); + if (!id || processedFacts.current.has(id)) { + return { success: true }; + } + processedFacts.current.add(id); + void onWidgetAction({ + type: "save", + factId: id, + factText: text.replace(/\s+/g, " ").trim(), + }); + return { success: true }; + } + + return { success: false }; + }, + onResponseEnd: () => { + onResponseEnd(); + }, + onThreadChange: () => { + processedFacts.current.clear(); + }, + onError: ({ error }) => { + // ChatKit handles displaying the error to the user + console.error("ChatKit error", error); + }, + }); + console.log(chatkit.control); + + return ( +
    + +
    + ); +} diff --git a/frontend/web/src/components/FactCard.tsx b/frontend/web/src/components/FactCard.tsx new file mode 100644 index 000000000..a12c5d295 --- /dev/null +++ b/frontend/web/src/components/FactCard.tsx @@ -0,0 +1,12 @@ +import { ChevronRight } from "lucide-react"; + +import type { FactRecord } from "../lib/facts"; + +export function FactCard({ fact }: { fact: FactRecord }) { + return ( +
  • + + {fact.text} +
    • + ); +} diff --git a/Front-End/webpr/src/components/ProtectedRoute.tsx b/frontend/web/src/components/ProtectedRoute.tsx similarity index 100% rename from Front-End/webpr/src/components/ProtectedRoute.tsx rename to frontend/web/src/components/ProtectedRoute.tsx diff --git a/frontend/web/src/components/ThemeToggle.tsx b/frontend/web/src/components/ThemeToggle.tsx new file mode 100644 index 000000000..5b3b2bdf3 --- /dev/null +++ b/frontend/web/src/components/ThemeToggle.tsx @@ -0,0 +1,46 @@ +import clsx from "clsx"; +import type { ColorScheme } from "../hooks/useColorScheme"; +import { Moon, Sun } from "lucide-react"; + +type ThemeToggleProps = { + value: ColorScheme; + onChange: (scheme: ColorScheme) => void; +}; + +const buttonBase = + "inline-flex h-9 w-9 items-center justify-center rounded-full text-[0.7rem] transition-colors duration-200"; + +export function ThemeToggle({ value, onChange }: ThemeToggleProps) { + return ( +
    + + +
    + ); +} diff --git a/Front-End/webpr/src/components/app-sidebar.tsx b/frontend/web/src/components/app-sidebar.tsx similarity index 92% rename from Front-End/webpr/src/components/app-sidebar.tsx rename to frontend/web/src/components/app-sidebar.tsx index 832e60d5a..bc9887265 100644 --- a/Front-End/webpr/src/components/app-sidebar.tsx +++ b/frontend/web/src/components/app-sidebar.tsx @@ -23,11 +23,11 @@ import { SidebarMenuItem, SidebarHeader, useSidebar, -} from "@/components/ui/sidebar" +} from "../components/ui/sidebar" import { LogOut } from "lucide-react" import { useNavigate } from "react-router-dom" -import { useAuth } from '@/contexts/AuthContext'; +import { useAuth } from '../contexts/AuthContext'; const navigationItems = [ { @@ -36,6 +36,12 @@ const navigationItems = [ icon: Activity, description: "Visão geral do sistema" }, + { + title: "Chat", + url: "/chat", + icon: GitPullRequest, + description: "Controle seus agentes conversando" + }, { title: "Pull Requests", url: "/prs", @@ -48,7 +54,12 @@ const navigationItems = [ icon: GitPullRequest, description: "Monitoramento de Commits" }, - + { + title: "Tarefas", + url: "/tasks", + icon: GitPullRequest, + description: "Monitoramento de Tarefas dos agentes" + }, { title: "Workflows", url: "/workflows", @@ -128,8 +139,8 @@ export function AppSidebar() { {!isCollapsed && (
    -

    PR AI

    -

    Equipe de DevOps

    +

    Software AI

    +

    Governe ou Crie Softwares End-to-End

    )}
    diff --git a/Front-End/webpr/src/components/cta-section.tsx b/frontend/web/src/components/cta-section.tsx similarity index 98% rename from Front-End/webpr/src/components/cta-section.tsx rename to frontend/web/src/components/cta-section.tsx index 67c2db687..cc69648ea 100644 --- a/Front-End/webpr/src/components/cta-section.tsx +++ b/frontend/web/src/components/cta-section.tsx @@ -1,5 +1,5 @@ import { ArrowRight, Github, Rocket } from "lucide-react"; -import { project } from "@/constants/landingpage.ts"; +import { project } from "@/constants/landingpage"; export const CTASection = () => { const { links, cta } = project[0]; diff --git a/Front-End/webpr/src/components/features-section.tsx b/frontend/web/src/components/features-section.tsx similarity index 100% rename from Front-End/webpr/src/components/features-section.tsx rename to frontend/web/src/components/features-section.tsx diff --git a/Front-End/webpr/src/components/footer.tsx b/frontend/web/src/components/footer.tsx similarity index 98% rename from Front-End/webpr/src/components/footer.tsx rename to frontend/web/src/components/footer.tsx index 4b12be640..929b9b8bb 100644 --- a/Front-End/webpr/src/components/footer.tsx +++ b/frontend/web/src/components/footer.tsx @@ -1,5 +1,5 @@ import { Github, Mail, ExternalLink } from "lucide-react"; -import { project } from "@/constants/landingpage.ts"; +import { project } from "@/constants/landingpage"; export const Footer = () => { const github = project[0].links.github diff --git a/Front-End/webpr/src/components/header.tsx b/frontend/web/src/components/header.tsx similarity index 98% rename from Front-End/webpr/src/components/header.tsx rename to frontend/web/src/components/header.tsx index d84127be6..05e99f7d9 100644 --- a/Front-End/webpr/src/components/header.tsx +++ b/frontend/web/src/components/header.tsx @@ -1,6 +1,6 @@ import { useState } from "react"; import { Menu, X, Github } from "lucide-react"; -import { project } from "@/constants/landingpage.ts"; +import { project } from "@/constants/landingpage"; export const Header = () => { const [isMenuOpen, setIsMenuOpen] = useState(false); diff --git a/Front-End/webpr/src/components/hero-section.tsx b/frontend/web/src/components/hero-section.tsx similarity index 98% rename from Front-End/webpr/src/components/hero-section.tsx rename to frontend/web/src/components/hero-section.tsx index 134250854..01193aa9b 100644 --- a/Front-End/webpr/src/components/hero-section.tsx +++ b/frontend/web/src/components/hero-section.tsx @@ -1,6 +1,6 @@ import { ArrowRight, Github, Zap } from "lucide-react"; import heroImage from "@/assets/hero-image.jpg"; -import { project } from "@/constants/landingpage.ts"; +import { project } from "@/constants/landingpage"; export const HeroSection = () => { const { github, app } = project[0].links; diff --git a/frontend/web/src/components/layout.tsx b/frontend/web/src/components/layout.tsx new file mode 100644 index 000000000..437f74cc3 --- /dev/null +++ b/frontend/web/src/components/layout.tsx @@ -0,0 +1,36 @@ +import { ReactNode } from "react" +import { SidebarProvider, SidebarTrigger, SidebarInset } from "../components/ui/sidebar" +import { AppSidebar } from "../components/app-sidebar" + +interface LayoutProps { + children: ReactNode +} + +const Layout = ({ children }: LayoutProps) => { + return ( + +
    + + + {/* Header with sidebar trigger */} +
    + +
    +
    +
    +
    + Sistema Online +
    +
    +
    + {/* Main content */} +
    + {children} +
    +     +
    +     + ) +} + +export default Layout \ No newline at end of file diff --git a/Front-End/webpr/src/components/pricing-section.tsx b/frontend/web/src/components/pricing-section.tsx similarity index 99% rename from Front-End/webpr/src/components/pricing-section.tsx rename to frontend/web/src/components/pricing-section.tsx index 681ec39a4..50232fc18 100644 --- a/Front-End/webpr/src/components/pricing-section.tsx +++ b/frontend/web/src/components/pricing-section.tsx @@ -1,7 +1,6 @@ // Front-End\src\components\pricing-section.tsx import { Check, Star, Zap } from "lucide-react"; import { useEffect, useState } from "react"; -import { project } from "@/constants/landingpage.ts"; export const PricingSection = () => { const [isAnnual, setIsAnnual] = useState(false); diff --git a/Front-End/webpr/src/components/ui/accordion.tsx b/frontend/web/src/components/ui/accordion.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/accordion.tsx rename to frontend/web/src/components/ui/accordion.tsx diff --git a/Front-End/webpr/src/components/ui/alert-dialog.tsx b/frontend/web/src/components/ui/alert-dialog.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/alert-dialog.tsx rename to frontend/web/src/components/ui/alert-dialog.tsx diff --git a/Front-End/webpr/src/components/ui/alert.tsx b/frontend/web/src/components/ui/alert.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/alert.tsx rename to frontend/web/src/components/ui/alert.tsx diff --git a/Front-End/webpr/src/components/ui/aspect-ratio.tsx b/frontend/web/src/components/ui/aspect-ratio.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/aspect-ratio.tsx rename to frontend/web/src/components/ui/aspect-ratio.tsx diff --git a/Front-End/webpr/src/components/ui/avatar.tsx b/frontend/web/src/components/ui/avatar.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/avatar.tsx rename to frontend/web/src/components/ui/avatar.tsx diff --git a/Front-End/webpr/src/components/ui/badge.tsx b/frontend/web/src/components/ui/badge.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/badge.tsx rename to frontend/web/src/components/ui/badge.tsx diff --git a/Front-End/webpr/src/components/ui/breadcrumb.tsx b/frontend/web/src/components/ui/breadcrumb.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/breadcrumb.tsx rename to frontend/web/src/components/ui/breadcrumb.tsx diff --git a/Front-End/webpr/src/components/ui/button.tsx b/frontend/web/src/components/ui/button.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/button.tsx rename to frontend/web/src/components/ui/button.tsx diff --git a/Front-End/webpr/src/components/ui/calendar.tsx b/frontend/web/src/components/ui/calendar.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/calendar.tsx rename to frontend/web/src/components/ui/calendar.tsx diff --git a/Front-End/webpr/src/components/ui/card.tsx b/frontend/web/src/components/ui/card.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/card.tsx rename to frontend/web/src/components/ui/card.tsx diff --git a/Front-End/webpr/src/components/ui/carousel.tsx b/frontend/web/src/components/ui/carousel.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/carousel.tsx rename to frontend/web/src/components/ui/carousel.tsx diff --git a/Front-End/webpr/src/components/ui/chart.tsx b/frontend/web/src/components/ui/chart.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/chart.tsx rename to frontend/web/src/components/ui/chart.tsx diff --git a/Front-End/webpr/src/components/ui/checkbox.tsx b/frontend/web/src/components/ui/checkbox.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/checkbox.tsx rename to frontend/web/src/components/ui/checkbox.tsx diff --git a/Front-End/webpr/src/components/ui/collapsible.tsx b/frontend/web/src/components/ui/collapsible.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/collapsible.tsx rename to frontend/web/src/components/ui/collapsible.tsx diff --git a/Front-End/webpr/src/components/ui/command.tsx b/frontend/web/src/components/ui/command.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/command.tsx rename to frontend/web/src/components/ui/command.tsx diff --git a/Front-End/webpr/src/components/ui/context-menu.tsx b/frontend/web/src/components/ui/context-menu.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/context-menu.tsx rename to frontend/web/src/components/ui/context-menu.tsx diff --git a/Front-End/webpr/src/components/ui/dialog.tsx b/frontend/web/src/components/ui/dialog.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/dialog.tsx rename to frontend/web/src/components/ui/dialog.tsx diff --git a/Front-End/webpr/src/components/ui/drawer.tsx b/frontend/web/src/components/ui/drawer.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/drawer.tsx rename to frontend/web/src/components/ui/drawer.tsx diff --git a/Front-End/webpr/src/components/ui/dropdown-menu.tsx b/frontend/web/src/components/ui/dropdown-menu.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/dropdown-menu.tsx rename to frontend/web/src/components/ui/dropdown-menu.tsx diff --git a/Front-End/webpr/src/components/ui/form.tsx b/frontend/web/src/components/ui/form.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/form.tsx rename to frontend/web/src/components/ui/form.tsx diff --git a/Front-End/webpr/src/components/ui/hover-card.tsx b/frontend/web/src/components/ui/hover-card.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/hover-card.tsx rename to frontend/web/src/components/ui/hover-card.tsx diff --git a/Front-End/webpr/src/components/ui/input-otp.tsx b/frontend/web/src/components/ui/input-otp.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/input-otp.tsx rename to frontend/web/src/components/ui/input-otp.tsx diff --git a/Front-End/webpr/src/components/ui/input.tsx b/frontend/web/src/components/ui/input.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/input.tsx rename to frontend/web/src/components/ui/input.tsx diff --git a/Front-End/webpr/src/components/ui/label.tsx b/frontend/web/src/components/ui/label.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/label.tsx rename to frontend/web/src/components/ui/label.tsx diff --git a/Front-End/webpr/src/components/ui/menubar.tsx b/frontend/web/src/components/ui/menubar.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/menubar.tsx rename to frontend/web/src/components/ui/menubar.tsx diff --git a/Front-End/webpr/src/components/ui/navigation-menu.tsx b/frontend/web/src/components/ui/navigation-menu.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/navigation-menu.tsx rename to frontend/web/src/components/ui/navigation-menu.tsx diff --git a/Front-End/webpr/src/components/ui/pagination.tsx b/frontend/web/src/components/ui/pagination.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/pagination.tsx rename to frontend/web/src/components/ui/pagination.tsx diff --git a/Front-End/webpr/src/components/ui/popover.tsx b/frontend/web/src/components/ui/popover.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/popover.tsx rename to frontend/web/src/components/ui/popover.tsx diff --git a/Front-End/webpr/src/components/ui/progress.tsx b/frontend/web/src/components/ui/progress.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/progress.tsx rename to frontend/web/src/components/ui/progress.tsx diff --git a/Front-End/webpr/src/components/ui/radio-group.tsx b/frontend/web/src/components/ui/radio-group.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/radio-group.tsx rename to frontend/web/src/components/ui/radio-group.tsx diff --git a/Front-End/webpr/src/components/ui/resizable.tsx b/frontend/web/src/components/ui/resizable.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/resizable.tsx rename to frontend/web/src/components/ui/resizable.tsx diff --git a/Front-End/webpr/src/components/ui/scroll-area.tsx b/frontend/web/src/components/ui/scroll-area.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/scroll-area.tsx rename to frontend/web/src/components/ui/scroll-area.tsx diff --git a/Front-End/webpr/src/components/ui/select.tsx b/frontend/web/src/components/ui/select.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/select.tsx rename to frontend/web/src/components/ui/select.tsx diff --git a/Front-End/webpr/src/components/ui/separator.tsx b/frontend/web/src/components/ui/separator.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/separator.tsx rename to frontend/web/src/components/ui/separator.tsx diff --git a/Front-End/webpr/src/components/ui/sheet.tsx b/frontend/web/src/components/ui/sheet.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/sheet.tsx rename to frontend/web/src/components/ui/sheet.tsx diff --git a/Front-End/webpr/src/components/ui/sidebar.tsx b/frontend/web/src/components/ui/sidebar.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/sidebar.tsx rename to frontend/web/src/components/ui/sidebar.tsx diff --git a/Front-End/webpr/src/components/ui/skeleton.tsx b/frontend/web/src/components/ui/skeleton.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/skeleton.tsx rename to frontend/web/src/components/ui/skeleton.tsx diff --git a/Front-End/webpr/src/components/ui/slider.tsx b/frontend/web/src/components/ui/slider.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/slider.tsx rename to frontend/web/src/components/ui/slider.tsx diff --git a/Front-End/webpr/src/components/ui/sonner.tsx b/frontend/web/src/components/ui/sonner.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/sonner.tsx rename to frontend/web/src/components/ui/sonner.tsx diff --git a/Front-End/webpr/src/components/ui/switch.tsx b/frontend/web/src/components/ui/switch.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/switch.tsx rename to frontend/web/src/components/ui/switch.tsx diff --git a/Front-End/webpr/src/components/ui/table.tsx b/frontend/web/src/components/ui/table.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/table.tsx rename to frontend/web/src/components/ui/table.tsx diff --git a/Front-End/webpr/src/components/ui/tabs.tsx b/frontend/web/src/components/ui/tabs.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/tabs.tsx rename to frontend/web/src/components/ui/tabs.tsx diff --git a/Front-End/webpr/src/components/ui/textarea.tsx b/frontend/web/src/components/ui/textarea.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/textarea.tsx rename to frontend/web/src/components/ui/textarea.tsx diff --git a/Front-End/webpr/src/components/ui/toast.tsx b/frontend/web/src/components/ui/toast.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/toast.tsx rename to frontend/web/src/components/ui/toast.tsx diff --git a/Front-End/webpr/src/components/ui/toaster.tsx b/frontend/web/src/components/ui/toaster.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/toaster.tsx rename to frontend/web/src/components/ui/toaster.tsx diff --git a/Front-End/webpr/src/components/ui/toggle-group.tsx b/frontend/web/src/components/ui/toggle-group.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/toggle-group.tsx rename to frontend/web/src/components/ui/toggle-group.tsx diff --git a/Front-End/webpr/src/components/ui/toggle.tsx b/frontend/web/src/components/ui/toggle.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/toggle.tsx rename to frontend/web/src/components/ui/toggle.tsx diff --git a/Front-End/webpr/src/components/ui/tooltip.tsx b/frontend/web/src/components/ui/tooltip.tsx similarity index 100% rename from Front-End/webpr/src/components/ui/tooltip.tsx rename to frontend/web/src/components/ui/tooltip.tsx diff --git a/Front-End/webpr/src/components/ui/use-toast.ts b/frontend/web/src/components/ui/use-toast.ts similarity index 100% rename from Front-End/webpr/src/components/ui/use-toast.ts rename to frontend/web/src/components/ui/use-toast.ts diff --git a/Front-End/webpr/src/constants/landingpage.ts b/frontend/web/src/constants/landingpage.ts similarity index 100% rename from Front-End/webpr/src/constants/landingpage.ts rename to frontend/web/src/constants/landingpage.ts diff --git a/Front-End/webpr/src/contexts/AuthContext.tsx b/frontend/web/src/contexts/AuthContext.tsx similarity index 100% rename from Front-End/webpr/src/contexts/AuthContext.tsx rename to frontend/web/src/contexts/AuthContext.tsx diff --git a/Front-End/webpr/src/hooks/use-mobile.tsx b/frontend/web/src/hooks/use-mobile.tsx similarity index 100% rename from Front-End/webpr/src/hooks/use-mobile.tsx rename to frontend/web/src/hooks/use-mobile.tsx diff --git a/Front-End/webpr/src/hooks/use-toast.ts b/frontend/web/src/hooks/use-toast.ts similarity index 100% rename from Front-End/webpr/src/hooks/use-toast.ts rename to frontend/web/src/hooks/use-toast.ts diff --git a/frontend/web/src/hooks/useActions.ts b/frontend/web/src/hooks/useActions.ts new file mode 100644 index 000000000..68b339bbd --- /dev/null +++ b/frontend/web/src/hooks/useActions.ts @@ -0,0 +1,45 @@ +import { useCallback, useState } from "react"; + +import type { FactRecord } from "../lib/facts"; + +export type Actions = { + type: string; + factText?: string; + factId?: string; +}; + +export function useActions() { + const [facts, setFacts] = useState([]); + const [error] = useState(null); + const loading = false; + + const performAction = useCallback(async (action: Actions) => { + if (action.type === "chart_generator") { + console.log(`performAction chart_generator`); + } + if (action.type === "save") { + setFacts((current) => { + const text = (action.factText ?? "").trim(); + if (!text) { + return current; + } + if (current.some((fact) => fact.id === action.factId)) { + return current; + } + const saved: FactRecord = { + id: action.factId, + text, + status: "saved", + createdAt: new Date().toISOString(), + }; + return [...current, saved]; + }); + } + }, []); + + const refresh = useCallback(() => { + /* no-op: facts are stored in-memory */ + }, []); + + return { facts, loading, error, refresh, performAction }; +} diff --git a/frontend/web/src/hooks/useColorScheme.ts b/frontend/web/src/hooks/useColorScheme.ts new file mode 100644 index 000000000..687692115 --- /dev/null +++ b/frontend/web/src/hooks/useColorScheme.ts @@ -0,0 +1,39 @@ +import { useCallback, useEffect, useState } from "react"; + +import { THEME_STORAGE_KEY } from "@/lib/config"; + +export type ColorScheme = "light" | "dark"; + +function getInitialScheme(): ColorScheme { + if (typeof window === "undefined") { + return "light"; + } + const stored = window.localStorage.getItem(THEME_STORAGE_KEY) as ColorScheme | null; + if (stored === "light" || stored === "dark") { + return stored; + } + return window.matchMedia("(prefers-color-scheme: dark)").matches ? "dark" : "light"; +} + +export function useColorScheme() { + const [scheme, setScheme] = useState(getInitialScheme); + + useEffect(() => { + if (typeof document === "undefined") return; + const root = document.documentElement; + if (scheme === "dark") { + root.classList.add("dark"); + } else { + root.classList.remove("dark"); + } + window.localStorage.setItem(THEME_STORAGE_KEY, scheme); + }, [scheme]); + + const toggle = useCallback(() => { + setScheme((current) => (current === "dark" ? "light" : "dark")); + }, []); + + const setExplicit = useCallback((value: ColorScheme) => { setScheme(value); }, []); + + return { scheme, toggle, setScheme: setExplicit }; +} diff --git a/Front-End/webpr/src/index.css b/frontend/web/src/index.css similarity index 91% rename from Front-End/webpr/src/index.css rename to frontend/web/src/index.css index bdbeb5a56..083074e72 100644 --- a/Front-End/webpr/src/index.css +++ b/frontend/web/src/index.css @@ -5,7 +5,22 @@ /* AI Frontend Design System - Tech/AI themed with gradients and modern aesthetics */ @layer base { + /* body { + @apply m-0 min-h-screen font-sans bg-surface-light text-slate-900 transition-colors; + } + + .dark body { + @apply bg-surface-dark text-slate-100; + } */ + + a { + color: inherit; + text-decoration: none; + } + :root { + color-scheme: light dark; + /* Core Background & Text */ --background: 240 10% 3.9%; --foreground: 0 0% 98%; @@ -92,7 +107,7 @@ --gradient-hero: linear-gradient(135deg, hsl(0 0% 100%), hsl(240 4.8% 95.9%)); } } - +/* @layer base { * { @apply border-border; @@ -101,4 +116,4 @@ body { @apply bg-background text-foreground; } -} \ No newline at end of file +} */ \ No newline at end of file diff --git a/frontend/web/src/lib/config.ts b/frontend/web/src/lib/config.ts new file mode 100644 index 000000000..aef6405a9 --- /dev/null +++ b/frontend/web/src/lib/config.ts @@ -0,0 +1,44 @@ +import { StartScreenPrompt } from "@openai/chatkit"; + +export const CHATKIT_API_URL = + import.meta.env.VITE_CHATKIT_API_URL ?? "/chatkit"; + +/** + * ChatKit still expects a domain key at runtime. Use any placeholder locally, + * but register your production domain at + * https://platform.openai.com/settings/organization/security/domain-allowlist + * and deploy the real key. + */ +export const CHATKIT_API_DOMAIN_KEY = + import.meta.env.VITE_CHATKIT_API_DOMAIN_KEY ?? "domain_pk_localhost_dev"; + +export const FACTS_API_URL = import.meta.env.VITE_FACTS_API_URL ?? "/facts"; + +export const THEME_STORAGE_KEY = "chatkit-boilerplate-theme"; + +export const GREETING = "Bem vindo Ao SoftwareAI"; + +export const STARTER_PROMPTS: StartScreenPrompt[] = [ + { + label: "Quantos commits eu fiz esse mes?", + prompt: "Quantos commits eu fiz esse mes?", + icon: "circle-question", + }, + { + label: "Quantas tarefas os agentes fizeram hoje?", + prompt: "Quantas tarefas os agentes fizeram hoje?", + icon: "book-open", + }, + { + label: "O que o GCL fez na semana passada?", + prompt: "O que o GCL fez na semana passada?", + icon: "search", + }, + { + label: "Gere um grafico com 10 vendas e 30 ordens no app", + prompt: "Gere um grafico com 10 vendas e 30 ordens no app", + icon: "sparkle", + }, +]; + +export const PLACEHOLDER_INPUT = "Envie para a ia"; diff --git a/frontend/web/src/lib/facts.ts b/frontend/web/src/lib/facts.ts new file mode 100644 index 000000000..342c98759 --- /dev/null +++ b/frontend/web/src/lib/facts.ts @@ -0,0 +1,6 @@ +export type FactRecord = { + id: string; + text: string; + status: string; + createdAt: string; +}; diff --git a/Front-End/webpr/src/lib/utils.ts b/frontend/web/src/lib/utils.ts similarity index 100% rename from Front-End/webpr/src/lib/utils.ts rename to frontend/web/src/lib/utils.ts diff --git a/frontend/web/src/main.tsx b/frontend/web/src/main.tsx new file mode 100644 index 000000000..20df98286 --- /dev/null +++ b/frontend/web/src/main.tsx @@ -0,0 +1,15 @@ +import { StrictMode } from "react"; +import { createRoot } from "react-dom/client"; +import App from "./App"; +import "./index.css"; + +const container = document.getElementById("root"); +if (!container) { + throw new Error("Root element with id 'root' not found"); +} + +createRoot(container).render( + + + +); diff --git a/frontend/web/src/pages/AgentTasks.tsx b/frontend/web/src/pages/AgentTasks.tsx new file mode 100644 index 000000000..2641f4434 --- /dev/null +++ b/frontend/web/src/pages/AgentTasks.tsx @@ -0,0 +1,299 @@ +import { useEffect, useState } from "react" +import { + Card, CardContent, CardHeader, CardTitle, CardDescription +} from "@/components/ui/card" +import { + Table, TableBody, TableCell, TableHead, TableHeader, TableRow +} from "@/components/ui/table" +import { + Dialog, DialogContent, DialogHeader, DialogTitle, DialogDescription, DialogTrigger +} from "@/components/ui/dialog" +import { + Button +} from "@/components/ui/button" +import { + Badge +} from "@/components/ui/badge" +import { + Input +} from "@/components/ui/input" +import { + ClipboardList, + RefreshCw, + Eye, + Search, + Calendar, + Clock, + CheckCircle, + XCircle, + CalendarClock +} from "lucide-react" + +interface Task { + id: string + content: string + priority: number + status: "pending" | "processing" | "completed" | "error" + createdAt: string + completedAt?: string | null + eta_str?: string | null + estimatedHours: string + commitLanguage: string + result?: string | null +} + +const AgentTasks = () => { + const [tasks, setTasks] = useState([]) + const [selectedTask, setSelectedTask] = useState(null) + const [isLoading, setIsLoading] = useState(true) + const [searchTerm, setSearchTerm] = useState("") + const [showFullContent, setShowFullContent] = useState(false) + const backendUrl = import.meta.env.VITE_BACK_END + const access_token = localStorage.getItem("access_token") + + const fetchTasks = async () => { + if (!access_token) return + try { + setIsLoading(true) + const res = await fetch(`${backendUrl}/api/tasks/list`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + 'X-API-TOKEN': `${access_token}` + }, + }) + if (!res.ok) throw new Error("Falha ao carregar tarefas") + + const data: Task[] = await res.json() + setTasks(data) + } catch (error) { + console.error("Erro ao buscar tarefas:", error) + } finally { + setIsLoading(false) + } + } + + const fetchTaskDetails = async (taskId: string) => { + if (!access_token) return + try { + const res = await fetch(`${backendUrl}/api/tasks/details/${taskId}`, { + method: 'GET', + headers: { + 'Content-Type': 'application/json', + 'X-API-TOKEN': `${access_token}` + }, + }) + if (!res.ok) throw new Error("Falha ao buscar detalhes da tarefa") + + const data: Task = await res.json() + setSelectedTask(data) + } catch (error) { + console.error("Erro ao buscar detalhes da tarefa:", error) + } + } + + useEffect(() => { + fetchTasks() + }, []) + + const filteredTasks = tasks.filter(task => + task.content.toLowerCase().includes(searchTerm.toLowerCase()) + ) + + const getStatusBadge = (status: string) => { + switch (status) { + case "done": + return ( + + Concluída + + ) + case "failed": + return ( + + Erro + + ) + case "pending": + return ( + + Pendente + + ) + case "running": + return ( + + Processando + + ) + case "sheduled": + return ( + + Agendada + + ) + default: + return Desconhecido + } + } + + const formatDate = (dateString?: string | null) => + dateString ? new Date(dateString).toLocaleString('pt-BR') : "—" + + return ( +
    + {/* Header */} +
    +
    +

    Tarefas dos Agentes

    +

    Monitoramento e histórico de tarefas processadas pela IA

    +
    + +
    + + {/* Search */} + + +
    + + setSearchTerm(e.target.value)} + className="pl-10" + /> +
    +     +     + + {/* Tasks Table */} + + + + Tarefas ({filteredTasks.length}) + + Lista das tarefas criadas e processadas + + +
    + + + + ID + Conteúdo + Prioridade + Status + Criada em + Agendada para + Ações + + + + {filteredTasks.length > 0 ? ( + filteredTasks.map(task => ( + + {task.id.slice(0, 8)} + {task.content} + {task.priority} + {getStatusBadge(task.status)} + +
    + {formatDate(task.createdAt)} +
    +     + +
    + {formatDate(task.eta_str)} +
    +     + + + + + + + + Tarefa {task.id.slice(0, 8)} + Detalhes completos da tarefa processada + + {selectedTask && selectedTask.id === task.id && ( +
    +
    +
    +

    Informações

    +
    +

    Status: {getStatusBadge(selectedTask.status)}

    +

    Prioridade: {selectedTask.priority}

    +

    Linguagem: {selectedTask.commitLanguage}

    +

    Horas Estimada: {selectedTask.estimatedHours}

    +

    Criada em: {formatDate(selectedTask.createdAt)}

    +

    Agendada para: {formatDate(selectedTask.eta_str)}

    +
    +
    +
    + +
    +

    Conteúdo Original

    +
    + 
    +                                      {showFullContent
+                                        ? selectedTask.content
+                                        : selectedTask.content.slice(0, 300) + 
+                                          (selectedTask.content.length > 300 ? "..." : "")
+                                      }
+
    + {selectedTask.content.length > 300 && ( + + )} +
    +
    + + {selectedTask.result && ( +
    +

    Resultado do Agente

    +
    + 
    +                                        {selectedTask.result}
+
    +
    +
    + )} +
    + )} +     +     +     +     + )) + ) : ( + + + {searchTerm ? "Nenhuma tarefa encontrada" : "Nenhuma tarefa registrada ainda"} + + + )} +     +
    +
    +     +     +
    + ) +} + +export default AgentTasks diff --git a/Front-End/webpr/src/pages/Billing.tsx b/frontend/web/src/pages/Billing.tsx similarity index 94% rename from Front-End/webpr/src/pages/Billing.tsx rename to frontend/web/src/pages/Billing.tsx index 58dacdefa..494e3603c 100644 --- a/Front-End/webpr/src/pages/Billing.tsx +++ b/frontend/web/src/pages/Billing.tsx @@ -13,27 +13,6 @@ type AccountData = { remainingTokens: number } -const samplePlans = [ - { - id: 'free', - name: 'Free', - price: 'R$ 0/mês', - features: ['300k tokens / mês', 'Suporte via docs', 'Limitações básicas'] - }, - { - id: 'pro', - name: 'Pro', - price: 'R$ 49/mês', - features: ['1M tokens / mês', 'Suporte por e-mail', 'Renovação automática'] - }, - { - id: 'business', - name: 'Business', - price: 'R$ 249/mês', - features: ['Tokens ilimitados', 'Suporte prioritário', 'Conta multi-usuário'] - } -] - const BillingPage = () => { const [account, setAccount] = useState(null) const [loading, setLoading] = useState(false) @@ -90,7 +69,7 @@ const BillingPage = () => { const plansArray = Object.entries(data.payload).map(([key, value]: any) => ({ id: key.toLowerCase(), name: key, - price: `R$ ${value.price}/mês`, + price: `$ ${value.price}/mês`, features: value.features, paymentLink: value.payment_link })) diff --git a/frontend/web/src/pages/Chat.tsx b/frontend/web/src/pages/Chat.tsx new file mode 100644 index 000000000..7ad60b8f3 --- /dev/null +++ b/frontend/web/src/pages/Chat.tsx @@ -0,0 +1,48 @@ +import clsx from "clsx"; +import { useState } from "react"; + +import { ChatKitPanel } from "@/components/ChatKitPanel"; +import { ThemeToggle } from "@/components/ThemeToggle"; +import { ColorScheme } from "@/hooks/useColorScheme"; +import { useActions } from "@/hooks/useActions"; +import { Aperture, Code, Sparkles } from "lucide-react"; + + +const Chat = ({ + scheme, + handleThemeChange, +}: { + scheme: ColorScheme; + handleThemeChange: (scheme: ColorScheme) => void; +}) => { + + const { refresh, performAction } = useActions(); + + const containerClass = clsx( + "min-h-screen bg-gradient-to-br transition-colors duration-300", + scheme === "dark" + ? "from-slate-900 via-slate-950 to-slate-850 text-slate-100" + : "from-slate-100 via-white to-slate-200 text-slate-900" + ); + + return ( +
    +
    + + +
    + +
    + +
    +
    + ); +} +export default Chat; diff --git a/Front-End/webpr/src/pages/CheckoutError.tsx b/frontend/web/src/pages/CheckoutError.tsx similarity index 100% rename from Front-End/webpr/src/pages/CheckoutError.tsx rename to frontend/web/src/pages/CheckoutError.tsx diff --git a/Front-End/webpr/src/pages/CheckoutSuccess.tsx b/frontend/web/src/pages/CheckoutSuccess.tsx similarity index 100% rename from Front-End/webpr/src/pages/CheckoutSuccess.tsx rename to frontend/web/src/pages/CheckoutSuccess.tsx diff --git a/Front-End/webpr/src/pages/CommitMessages.tsx b/frontend/web/src/pages/CommitMessages.tsx similarity index 100% rename from Front-End/webpr/src/pages/CommitMessages.tsx rename to frontend/web/src/pages/CommitMessages.tsx diff --git a/Front-End/webpr/src/pages/Controls.tsx b/frontend/web/src/pages/Controls.tsx similarity index 100% rename from Front-End/webpr/src/pages/Controls.tsx rename to frontend/web/src/pages/Controls.tsx diff --git a/Front-End/webpr/src/pages/Dashboard.tsx b/frontend/web/src/pages/Dashboard.tsx similarity index 100% rename from Front-End/webpr/src/pages/Dashboard.tsx rename to frontend/web/src/pages/Dashboard.tsx diff --git a/Front-End/webpr/src/pages/Invoices.tsx b/frontend/web/src/pages/Invoices.tsx similarity index 100% rename from Front-End/webpr/src/pages/Invoices.tsx rename to frontend/web/src/pages/Invoices.tsx diff --git a/Front-End/webpr/src/pages/Landingpage.tsx b/frontend/web/src/pages/Landingpage.tsx similarity index 100% rename from Front-End/webpr/src/pages/Landingpage.tsx rename to frontend/web/src/pages/Landingpage.tsx diff --git a/Front-End/webpr/src/pages/Login.tsx b/frontend/web/src/pages/Login.tsx similarity index 95% rename from Front-End/webpr/src/pages/Login.tsx rename to frontend/web/src/pages/Login.tsx index e1d1d8888..28ed8dac8 100644 --- a/Front-End/webpr/src/pages/Login.tsx +++ b/frontend/web/src/pages/Login.tsx @@ -1,11 +1,11 @@ // webproject\src/components\LoginForm.tsx import React, { useState } from 'react'; -import { Button } from '@/components/ui/button'; -import { Input } from '@/components/ui/input'; -import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card'; +import { Button } from '../components/ui/button'; +import { Input } from '../components/ui/input'; +import { Card, CardContent, CardHeader, CardTitle } from '../components/ui/card'; import { Mail, Lock, LogIn, Loader2 } from 'lucide-react'; import { useNavigate } from 'react-router-dom'; -import { useAuth } from '@/contexts/AuthContext'; +import { useAuth } from '../contexts/AuthContext'; const LoginForm: React.FC = () => { const [email, setEmail] = useState(''); diff --git a/Front-End/webpr/src/pages/Logs.tsx b/frontend/web/src/pages/Logs.tsx similarity index 100% rename from Front-End/webpr/src/pages/Logs.tsx rename to frontend/web/src/pages/Logs.tsx diff --git a/Front-End/webpr/src/pages/MyAccount.tsx b/frontend/web/src/pages/MyAccount.tsx similarity index 100% rename from Front-End/webpr/src/pages/MyAccount.tsx rename to frontend/web/src/pages/MyAccount.tsx diff --git a/Front-End/webpr/src/pages/NotFound.tsx b/frontend/web/src/pages/NotFound.tsx similarity index 100% rename from Front-End/webpr/src/pages/NotFound.tsx rename to frontend/web/src/pages/NotFound.tsx diff --git a/Front-End/webpr/src/pages/PullRequests.tsx b/frontend/web/src/pages/PullRequests.tsx similarity index 100% rename from Front-End/webpr/src/pages/PullRequests.tsx rename to frontend/web/src/pages/PullRequests.tsx diff --git a/Front-End/webpr/src/pages/Settings.tsx b/frontend/web/src/pages/Settings.tsx similarity index 74% rename from Front-End/webpr/src/pages/Settings.tsx rename to frontend/web/src/pages/Settings.tsx index ee88686e0..f414eb534 100644 --- a/Front-End/webpr/src/pages/Settings.tsx +++ b/frontend/web/src/pages/Settings.tsx @@ -21,11 +21,7 @@ import { interface SystemSettings { githubToken: string - githubSecret: string repositoryName: string - openaiApiKey: string - webhookUrl: string - autoProcessPRs: boolean enableLogging: boolean logLevel: string } @@ -33,11 +29,7 @@ interface SystemSettings { const Settings = () => { const [settings, setSettings] = useState({ githubToken: "", - githubSecret: "", repositoryName: "", - openaiApiKey: "", - webhookUrl: "", - autoProcessPRs: true, enableLogging: true, logLevel: "INFO", @@ -224,25 +216,6 @@ const Settings = () => {
    -
    - -
    - setSettings(prev => ({ ...prev, githubSecret: e.target.value }))} - placeholder="webhook_secret_here" - /> - -
    -
    @@ -255,15 +228,6 @@ const Settings = () => { />
    -
    - - setSettings(prev => ({ ...prev, webhookUrl: e.target.value }))} - placeholder="https://seu-dominio.com/webhook" - /> -
    - - - - - - {/* System Settings */} @@ -323,21 +249,7 @@ const Settings = () => { -
    -
    - -

    - Processar novos PRs automaticamente quando recebidos via webhook -

    -
    - setSettings(prev => ({ ...prev, autoProcessPRs: checked }))} - /> -
    - - - +
    diff --git a/Front-End/webpr/src/pages/SignupCheckout.tsx b/frontend/web/src/pages/SignupCheckout.tsx similarity index 100% rename from Front-End/webpr/src/pages/SignupCheckout.tsx rename to frontend/web/src/pages/SignupCheckout.tsx diff --git a/Front-End/webpr/src/pages/Workflows.tsx b/frontend/web/src/pages/Workflows.tsx similarity index 100% rename from Front-End/webpr/src/pages/Workflows.tsx rename to frontend/web/src/pages/Workflows.tsx diff --git a/frontend/web/src/types/chatkit-tools.d.ts b/frontend/web/src/types/chatkit-tools.d.ts new file mode 100644 index 000000000..bdb52aff2 --- /dev/null +++ b/frontend/web/src/types/chatkit-tools.d.ts @@ -0,0 +1,8 @@ +declare module "@openai/chatkit" { + interface ClientToolInvocation> { + // Projects can augment this interface to provide strongly typed arguments + // and results for custom client tools. + switch_theme(params: { theme: "light" | "dark" }): { success: boolean }; + record_fact(params: { fact_id: string; fact_text: string; }): { success: boolean }; + } +} diff --git a/Front-End/webpr/src/vite-env.d.ts b/frontend/web/src/vite-env.d.ts similarity index 100% rename from Front-End/webpr/src/vite-env.d.ts rename to frontend/web/src/vite-env.d.ts diff --git a/Front-End/webpr/tailwind.config.ts b/frontend/web/tailwind.config.ts similarity index 100% rename from Front-End/webpr/tailwind.config.ts rename to frontend/web/tailwind.config.ts diff --git a/frontend/web/tsconfig.json b/frontend/web/tsconfig.json new file mode 100644 index 000000000..218da28f1 --- /dev/null +++ b/frontend/web/tsconfig.json @@ -0,0 +1,20 @@ +{ + "compilerOptions": { + "baseUrl": ".", + "target": "ES2022", + "useDefineForClassFields": true, + "lib": ["ES2022", "DOM", "DOM.Iterable"], + "module": "ESNext", + "moduleResolution": "Bundler", + "moduleDetection": "force", + "resolveJsonModule": true, + "isolatedModules": true, + "esModuleInterop": true, + "jsx": "react-jsx", + "paths": { + "@/*": ["src/*"] + } + }, + "include": ["src", "src/types/chatkit.d.ts", "src/types/chatkit-tools.d.ts"], + "references": [{ "path": "./tsconfig.node.json" }] +} diff --git a/frontend/web/tsconfig.node.json b/frontend/web/tsconfig.node.json new file mode 100644 index 000000000..5d35fae7a --- /dev/null +++ b/frontend/web/tsconfig.node.json @@ -0,0 +1,11 @@ +{ + "compilerOptions": { + "composite": true, + "module": "ESNext", + "moduleResolution": "Node", + "resolveJsonModule": true, + "isolatedModules": true, + "types": ["node"] + }, + "include": ["vite.config.ts"] +} diff --git a/frontend/web/vite.config.ts b/frontend/web/vite.config.ts new file mode 100644 index 000000000..44cf03be5 --- /dev/null +++ b/frontend/web/vite.config.ts @@ -0,0 +1,39 @@ +import { defineConfig } from "vite"; +import react from "@vitejs/plugin-react-swc"; +import * as path from 'path'; + +const filePath = path.resolve(__dirname, 'src'); + + +const backendTarget = process.env.BACKEND_URL ?? "http://127.0.0.1:8000"; + +// https://vitejs.dev/config/ +export default defineConfig({ + server: { + port: 5170, + host: "0.0.0.0", + proxy: { + "/chatkit": { + target: backendTarget, + changeOrigin: true, + }, + "/facts": { + target: backendTarget, + changeOrigin: true, + }, + }, + // For production deployments, you need to add your public domains to this list + allowedHosts: [ + // You can remove these examples added just to demonstrate how to configure the allowlist + ".ngrok.io", + ".trycloudflare.com", + ], + }, + + plugins: [react()], + resolve: { + alias: { + "@": path.resolve(__dirname, "./src"), + }, + }, +}); From 21c144a05448f49924ae0654f97d7a5660e5e8a7 Mon Sep 17 00:00:00 2001 From: Ualerson Date: Wed, 15 Oct 2025 11:13:08 -0300 Subject: [PATCH 2/2] Delete backend/test_notion.py and remove IPC comment in GCL.tsx MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit O commit realiza as seguintes mudanças: - backend/test_notion.py: removido o arquivo de teste Notion (teste legada). A exclusão sugere alinhamento com a estratégia atual de testes, evitando execuções de testes desatualizados no CI. - frontend/electron/src/pages/GCL.tsx: removal de uma linha de comentário que previa a adição da função IPC ao useGitOperations.ts e ao preload.cjs. A remoção é puramente de limpeza de código; não altera o comportamento, apenas elimina informação redundante. - backend/celerybeat-schedule: presença de diff binário indica uma alteração nesse arquivo, mas o diff textual não está disponível. Recomenda-se revisar essa alteração para confirmar o conteúdo e impactos. - backend/TestDiscovery/test_notion.py: listado como modificado no contexto, porém o diff apresentado não detalha alterações específicas; verifique se há outras mudanças não exibidas no patch. Resumo: o foco principal é limpar o repositório removendo teste legada e melhorar a legibilidade do código frontend, com uma verificação adicional necessária para o aporte binário em celerybeat-schedule. --- backend/{ => TestDiscovery}/test_notion.py | 0 backend/celerybeat-schedule | Bin 3072 -> 3072 bytes frontend/electron/src/pages/GCL.tsx | 1 - 3 files changed, 1 deletion(-) rename backend/{ => TestDiscovery}/test_notion.py (100%) diff --git a/backend/test_notion.py b/backend/TestDiscovery/test_notion.py similarity index 100% rename from backend/test_notion.py rename to backend/TestDiscovery/test_notion.py diff --git a/backend/celerybeat-schedule b/backend/celerybeat-schedule index bafda8998e089e22d787c8bc12c3acff35565a63..8f59f0f9722efc0b50d70933834b5cb97b8dec59 100644 GIT binary patch delta 29 lcmZpWXpq=&kc*Xzfq}_u@_)8CW?w6b$?@#klY_X|0RVfe2w?yK delta 29 lcmZpWXpq=&kc*Xtfk8)L@_)8CW?vJD$?@#klY_X|0RVan2t@z@ diff --git a/frontend/electron/src/pages/GCL.tsx b/frontend/electron/src/pages/GCL.tsx index cb25ba5cd..63ebe2d56 100644 --- a/frontend/electron/src/pages/GCL.tsx +++ b/frontend/electron/src/pages/GCL.tsx @@ -33,7 +33,6 @@ const GCL = () => { return; } try { - // Nota: Esta função de IPC precisa ser adicionada ao seu useGitOperations.ts e preload.cjs, se ainda não estiver lá! const diff = await window.electronAPI.git.getDiff(path); setGitDiff(diff); } catch (error) {

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