From e21f64793d3a3726afd9abc183967810f65ac96b Mon Sep 17 00:00:00 2001 From: SuryaPratap Date: Tue, 5 May 2026 00:42:49 +0530 Subject: [PATCH 1/4] feat: implement Part 1 core foundation and architecture - Setup FastAPI app, routers, and health checks - Add Pydantic domain schemas and env configuration - Build LMS mock adapter and nudge engine skeleton - Add Pytest suite with 86% coverage and CI workflow - Add Dockerfile and docker-compose --- .env.example | 60 +++++++++ .github/workflows/ci.yml | 46 +++++++ .gitignore | 170 +++++++++++++++++++++++++ Dockerfile | 50 ++++++++ README.md | 75 ++++++++++- app/__init__.py | 1 + app/adapters/__init__.py | 1 + app/adapters/lms/__init__.py | 33 +++++ app/adapters/lms/base.py | 66 ++++++++++ app/adapters/lms/frappe_adapter.py | 82 ++++++++++++ app/adapters/lms/mock_adapter.py | 146 +++++++++++++++++++++ app/api/__init__.py | 1 + app/api/v1/__init__.py | 1 + app/api/v1/health.py | 66 ++++++++++ app/api/v1/webhooks.py | 103 +++++++++++++++ app/core/__init__.py | 1 + app/core/config.py | 95 ++++++++++++++ app/core/logging.py | 62 +++++++++ app/main.py | 72 +++++++++++ app/models/__init__.py | 1 + app/models/schemas.py | 195 +++++++++++++++++++++++++++++ app/services/__init__.py | 1 + app/services/language_detector.py | 98 +++++++++++++++ app/services/nudge_engine.py | 131 +++++++++++++++++++ docker-compose.yml | 74 +++++++++++ infra/prometheus/prometheus.yml | 9 ++ pyproject.toml | 56 +++++++++ requirements-dev.txt | 7 ++ requirements.txt | 8 ++ tests/__init__.py | 1 + tests/conftest.py | 23 ++++ tests/test_health.py | 46 +++++++ tests/test_language_detector.py | 68 ++++++++++ tests/test_mock_lms_adapter.py | 58 +++++++++ tests/test_nudge_engine.py | 61 +++++++++ tests/test_schemas.py | 89 +++++++++++++ tests/test_webhooks.py | 64 ++++++++++ 37 files changed, 2120 insertions(+), 1 deletion(-) create mode 100644 .env.example create mode 100644 .github/workflows/ci.yml create mode 100644 .gitignore create mode 100644 Dockerfile create mode 100644 app/__init__.py create mode 100644 app/adapters/__init__.py create mode 100644 app/adapters/lms/__init__.py create mode 100644 app/adapters/lms/base.py create mode 100644 app/adapters/lms/frappe_adapter.py create mode 100644 app/adapters/lms/mock_adapter.py create mode 100644 app/api/__init__.py create mode 100644 app/api/v1/__init__.py create mode 100644 app/api/v1/health.py create mode 100644 app/api/v1/webhooks.py create mode 100644 app/core/__init__.py create mode 100644 app/core/config.py create mode 100644 app/core/logging.py create mode 100644 app/main.py create mode 100644 app/models/__init__.py create mode 100644 app/models/schemas.py create mode 100644 app/services/__init__.py create mode 100644 app/services/language_detector.py create mode 100644 app/services/nudge_engine.py create mode 100644 docker-compose.yml create mode 100644 infra/prometheus/prometheus.yml create mode 100644 pyproject.toml create mode 100644 requirements-dev.txt create mode 100644 requirements.txt create mode 100644 tests/__init__.py create mode 100644 tests/conftest.py create mode 100644 tests/test_health.py create mode 100644 tests/test_language_detector.py create mode 100644 tests/test_mock_lms_adapter.py create mode 100644 tests/test_nudge_engine.py create mode 100644 tests/test_schemas.py create mode 100644 tests/test_webhooks.py diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..f471242 --- /dev/null +++ b/.env.example @@ -0,0 +1,60 @@ +# ───────────────────────────────────────────────────────────────────────────── +# TAP Voice Agent — Environment Variables Reference +# Copy this file to .env and fill in real values. +# NEVER commit your .env file — it is git-ignored. +# ───────────────────────────────────────────────────────────────────────────── + +# ── App identity ────────────────────────────────────────────────────────────── +APP_NAME=tap-voice-agent +VERSION=0.1.0 +ENVIRONMENT=development # development | staging | production +DEBUG=false + +# ── Server ──────────────────────────────────────────────────────────────────── +HOST=0.0.0.0 +PORT=8000 +WORKERS=1 + +# ── Logging ─────────────────────────────────────────────────────────────────── +LOG_LEVEL=INFO # DEBUG | INFO | WARNING | ERROR +LOG_FORMAT=console # console (dev) | json (prod) + +# ── CORS (comma-separated list of allowed origins) ──────────────────────────── +CORS_ORIGINS=* + +# ── VAPI (voice platform) — leave blank to use mock ────────────────────────── +VAPI_API_KEY= +VAPI_BASE_URL=https://api.vapi.ai +VAPI_PHONE_NUMBER_ID= + +# ── Twilio (fallback calling) — leave blank to use mock ────────────────────── +TWILIO_ACCOUNT_SID= +TWILIO_AUTH_TOKEN= +TWILIO_FROM_NUMBER= + +# ── WhatsApp / Meta ─────────────────────────────────────────────────────────── +META_WHATSAPP_TOKEN= +META_PHONE_NUMBER_ID= +META_VERIFY_TOKEN=tap_verify_token + +# ── TAP LMS (Frappe REST) ───────────────────────────────────────────────────── +TAP_LMS_BASE_URL=https://lms.theapprenticeproject.org +TAP_LMS_API_KEY= +TAP_LMS_API_SECRET= +TAP_LMS_USE_MOCK=true # Set to false when real credentials are available + +# ── Language detection ──────────────────────────────────────────────────────── +DEFAULT_LANGUAGE=en +SUPPORTED_LANGUAGES=hi,mr,pa,en + +# ── Nudge engine ────────────────────────────────────────────────────────────── +NUDGE_INACTIVITY_DAYS=3 # Days of LMS inactivity before nudge fires +NUDGE_MAX_PER_WEEK=2 # Max calls per learner per week + +# ── Metrics ─────────────────────────────────────────────────────────────────── +ENABLE_METRICS=true +METRICS_EXPORT_INTERVAL=60 + +# ── Database (SQLite default, swap to Postgres in production) ───────────────── +DATABASE_URL=sqlite+aiosqlite:///./tap_agent.db +# DATABASE_URL=postgresql+asyncpg://user:password@localhost:5432/tap_agent diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 0000000..8c43719 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,46 @@ +name: CI + +on: + push: + branches: [ "main" ] + pull_request: + branches: [ "main" ] + +jobs: + test: + runs-on: ubuntu-latest + strategy: + matrix: + python-version: ["3.11"] + + steps: + - uses: actions/checkout@v4 + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + cache: 'pip' + + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install -r requirements.txt + pip install -r requirements-dev.txt + + - name: Lint with ruff + run: | + ruff check . + + - name: Type check with mypy + run: | + mypy app + + - name: Test with pytest + run: | + pytest --cov=app --cov-report=xml + + - name: Upload coverage reports to Codecov + uses: codecov/codecov-action@v4 + env: + CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..8a18c4f --- /dev/null +++ b/.gitignore @@ -0,0 +1,170 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.pyverse +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +.idea/ + +# VS Code +.vscode/ + +# MacOS +.DS_Store + +# Application specific +tap_agent.db +*.db diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..bbe0ad3 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,50 @@ +# ── Stage 1: dependency builder ─────────────────────────────────────────────── +FROM python:3.11-slim AS builder + +WORKDIR /build + +# Install pip tools +RUN pip install --upgrade pip + +# Copy dependency manifests first for layer caching +COPY requirements.txt requirements-dev.txt ./ + +# Install production deps into /build/venv +RUN python -m venv /build/venv \ + && /build/venv/bin/pip install --no-cache-dir -r requirements.txt + + +# ── Stage 2: production image ────────────────────────────────────────────────── +FROM python:3.11-slim AS runtime + +LABEL org.opencontainers.image.title="TAP Voice Agent" \ + org.opencontainers.image.description="Multilingual Voice Agent — C4GT 2026" \ + org.opencontainers.image.source="https://github.com/SuryaPratapIIIT/C4GT_2026" \ + org.opencontainers.image.licenses="MIT" + +ENV PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 \ + PATH="/venv/bin:$PATH" + +# Non-root user for security +RUN addgroup --system appgroup && adduser --system --ingroup appgroup appuser + +WORKDIR /app + +# Copy virtual environment from builder +COPY --from=builder /build/venv /venv + +# Copy application source +COPY app/ ./app/ + +# Ownership +RUN chown -R appuser:appgroup /app + +USER appuser + +EXPOSE 8000 + +HEALTHCHECK --interval=30s --timeout=5s --start-period=10s --retries=3 \ + CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health/live')" + +CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "2"] diff --git a/README.md b/README.md index 04e1239..771a3c0 100644 --- a/README.md +++ b/README.md @@ -1 +1,74 @@ -# C4GT_2026 \ No newline at end of file +# TAP Multilingual Voice Agent (C4GT 2026) + +This repository contains the prototype for **The Apprentice Project's (TAP)** multilingual voice agent, built as part of Code For GovTech (C4GT) 2026. The agent automates student engagement and learning nudges via outbound phone calls and handles inbound voice and WhatsApp interactions. + +## Architecture + +The project is built with a modular architecture using **FastAPI** (Python 3.11): +- **Core APIs**: `app/api/` handles inbound webhooks from voice providers (VAPI, Twilio) and WhatsApp. +- **Services**: `app/services/` contains business logic like the `NudgeEngine` and `LanguageDetector`. +- **Adapters**: `app/adapters/` abstractions over external dependencies (like the Frappe LMS). A `MockLMSAdapter` is provided for local testing without external credentials. +- **Models**: `app/models/` contains Pydantic schemas standardising the domain shapes. + +## Local Setup + +### Prerequisites +- Python 3.11+ +- [Poetry](https://python-poetry.org/) (recommended) or `pip` +- Docker & Docker Compose (for full stack run) + +### 1. Environment Configuration + +Copy the example environment file: +```bash +cp .env.example .env +``` +Update `.env` with any relevant local configuration. For standard local dev, the defaults (which use mock providers) are sufficient. + +### 2. Running without Docker (Development) + +Install dependencies using Poetry: +```bash +poetry install +``` + +Or using pip: +```bash +pip install -r requirements.txt -r requirements-dev.txt +``` + +Start the FastAPI server: +```bash +poetry run uvicorn app.main:app --reload --port 8000 +``` + +Access the API documentation at: +- Swagger UI: [http://localhost:8000/docs](http://localhost:8000/docs) +- ReDoc: [http://localhost:8000/redoc](http://localhost:8000/redoc) + +### 3. Running with Docker Compose + +To spin up the API along with Redis and an observability stack (Prometheus/Grafana): + +```bash +docker-compose --profile observability up -d --build +``` +- API: [http://localhost:8000](http://localhost:8000) +- Prometheus: [http://localhost:9090](http://localhost:9090) +- Grafana: [http://localhost:3000](http://localhost:3000) (admin / admin) + +## Testing + +Run the test suite: +```bash +poetry run pytest +``` +Or with test coverage: +```bash +poetry run pytest --cov=app --cov-report=term-missing +``` + +## Contributing +- Ensure code passes `ruff` checks and `mypy` type checking. +- Every PR must be independently reviewable and include relevant tests. +- Do not commit `.env` or hardcode secrets in the repository. \ No newline at end of file diff --git a/app/__init__.py b/app/__init__.py new file mode 100644 index 0000000..9988faa --- /dev/null +++ b/app/__init__.py @@ -0,0 +1 @@ +"""Package marker for the TAP Voice Agent application.""" diff --git a/app/adapters/__init__.py b/app/adapters/__init__.py new file mode 100644 index 0000000..6a94df0 --- /dev/null +++ b/app/adapters/__init__.py @@ -0,0 +1 @@ +"""Adapters package.""" diff --git a/app/adapters/lms/__init__.py b/app/adapters/lms/__init__.py new file mode 100644 index 0000000..499602e --- /dev/null +++ b/app/adapters/lms/__init__.py @@ -0,0 +1,33 @@ +"""LMS adapters package — exposes factory function.""" + +from __future__ import annotations + +from app.adapters.lms.base import BaseLMSAdapter, LearnerNotFoundError, LMSUnavailableError +from app.adapters.lms.mock_adapter import MockLMSAdapter + + +def get_lms_adapter() -> BaseLMSAdapter: + """ + Return the correct LMS adapter based on configuration. + + When TAP_LMS_USE_MOCK is True (default), the MockLMSAdapter is used. + Set TAP_LMS_USE_MOCK=false and provide TAP_LMS_API_KEY / TAP_LMS_API_SECRET + to switch to the real Frappe adapter. + """ + from app.core.config import settings # avoid circular imports + + if settings.TAP_LMS_USE_MOCK: + return MockLMSAdapter() + + from app.adapters.lms.frappe_adapter import FrappeLMSAdapter + + return FrappeLMSAdapter() + + +__all__ = [ + "BaseLMSAdapter", + "LearnerNotFoundError", + "LMSUnavailableError", + "MockLMSAdapter", + "get_lms_adapter", +] diff --git a/app/adapters/lms/base.py b/app/adapters/lms/base.py new file mode 100644 index 0000000..f2c85ce --- /dev/null +++ b/app/adapters/lms/base.py @@ -0,0 +1,66 @@ +""" +TAP LMS Adapter interface. + +Defines the abstract contract that both the mock adapter (used in tests +and local development) and the real Frappe REST adapter (Part 2) must +implement. New adapters only need to sub-class BaseLMSAdapter. +""" + +from __future__ import annotations + +from abc import ABC, abstractmethod + +from app.models.schemas import LearnerActivity, LearnerProfile + + +class BaseLMSAdapter(ABC): + """Abstract base class for all TAP LMS adapters.""" + + @abstractmethod + async def get_learner_profile(self, learner_id: str) -> LearnerProfile: + """ + Fetch a learner's profile by their TAP LMS learner ID. + + Raises: + LearnerNotFoundError: if the learner does not exist. + LMSUnavailableError: if the LMS cannot be reached. + """ + + @abstractmethod + async def get_learner_activity(self, learner_id: str) -> LearnerActivity: + """ + Return the learner's recent LMS activity (courses, last login, etc.). + + Raises: + LearnerNotFoundError: if the learner does not exist. + LMSUnavailableError: if the LMS cannot be reached. + """ + + @abstractmethod + async def update_engagement_log( + self, + learner_id: str, + event_type: str, + metadata: dict, + ) -> None: + """ + Post an engagement event back to the LMS (e.g. call_attempted). + + This is a fire-and-forget operation; callers should not depend + on a return value. + """ + + +# ── Domain exceptions ────────────────────────────────────────────────────────── + + +class LearnerNotFoundError(Exception): + """Raised when a learner ID cannot be resolved in the LMS.""" + + def __init__(self, learner_id: str) -> None: + super().__init__(f"Learner not found: {learner_id!r}") + self.learner_id = learner_id + + +class LMSUnavailableError(Exception): + """Raised when the LMS API is unreachable or returns a server error.""" diff --git a/app/adapters/lms/frappe_adapter.py b/app/adapters/lms/frappe_adapter.py new file mode 100644 index 0000000..a0e0d5e --- /dev/null +++ b/app/adapters/lms/frappe_adapter.py @@ -0,0 +1,82 @@ +""" +Frappe / TAP LMS REST adapter skeleton. + +Implement this adapter in Part 2 by filling each method. +The interface is identical to MockLMSAdapter; no callers need to change. + +Authentication: Frappe uses token-based auth via the Authorization header: + Authorization: token : + +Docs: https://frappeframework.com/docs/user/en/api/rest +""" + +from __future__ import annotations + +import structlog +from httpx import AsyncClient + +from app.adapters.lms.base import BaseLMSAdapter +from app.core.config import settings +from app.models.schemas import LearnerActivity, LearnerProfile + +logger = structlog.get_logger(__name__) + + +class FrappeLMSAdapter(BaseLMSAdapter): + """ + Real TAP LMS adapter calling the Frappe REST API. + + Usage + ----- + Set the following environment variables and TAP_LMS_USE_MOCK=false: + TAP_LMS_BASE_URL=https://lms.theapprenticeproject.org + TAP_LMS_API_KEY= + TAP_LMS_API_SECRET= + """ + + def __init__(self) -> None: + self._base_url = str(settings.TAP_LMS_BASE_URL).rstrip("/") + self._headers = { + "Authorization": f"token {settings.TAP_LMS_API_KEY}:{settings.TAP_LMS_API_SECRET}", + "Content-Type": "application/json", + } + + @property + def _client(self) -> AsyncClient: + return AsyncClient(base_url=self._base_url, headers=self._headers, timeout=10.0) + + async def get_learner_profile(self, learner_id: str) -> LearnerProfile: + """ + GET /api/resource/Learner/ + + TODO: implement once real API shape is confirmed. + """ + raise NotImplementedError( + "FrappeLMSAdapter.get_learner_profile is not yet implemented. " + "Set TAP_LMS_USE_MOCK=true to use the mock adapter." + ) + + async def get_learner_activity(self, learner_id: str) -> LearnerActivity: + """ + GET /api/method/tap_lms.api.get_learner_activity?learner_id= + + TODO: implement once real API shape is confirmed. + """ + raise NotImplementedError( + "FrappeLMSAdapter.get_learner_activity is not yet implemented." + ) + + async def update_engagement_log( + self, + learner_id: str, + event_type: str, + metadata: dict, + ) -> None: + """ + POST /api/method/tap_lms.api.log_engagement + + TODO: implement once real API shape is confirmed. + """ + raise NotImplementedError( + "FrappeLMSAdapter.update_engagement_log is not yet implemented." + ) diff --git a/app/adapters/lms/mock_adapter.py b/app/adapters/lms/mock_adapter.py new file mode 100644 index 0000000..3a17e1c --- /dev/null +++ b/app/adapters/lms/mock_adapter.py @@ -0,0 +1,146 @@ +""" +Mock TAP LMS adapter. + +Returns deterministic in-memory data. Used automatically when +TAP_LMS_USE_MOCK=true (the default). Replace with FrappeLMSAdapter +in Part 2 by setting TAP_LMS_USE_MOCK=false and providing credentials. +""" + +from __future__ import annotations + +from datetime import UTC, datetime, timedelta + +import structlog + +from app.adapters.lms.base import BaseLMSAdapter, LearnerNotFoundError +from app.models.schemas import ( + CourseProgress, + Language, + LearnerActivity, + LearnerProfile, +) + +logger = structlog.get_logger(__name__) + +# ── Seed data ────────────────────────────────────────────────────────────────── + +_MOCK_LEARNERS: dict[str, LearnerProfile] = { + "learner_001": LearnerProfile( + learner_id="learner_001", + name="Priya Sharma", + phone_number="+919876543210", + preferred_language=Language.HINDI, + enrolled_courses=["digital_literacy_101", "financial_basics_201"], + last_active_at=datetime.now(UTC) - timedelta(days=5), + completion_percentage=42.0, + days_inactive=5, + ), + "learner_002": LearnerProfile( + learner_id="learner_002", + name="Rajveer Singh", + phone_number="+919988776655", + preferred_language=Language.PUNJABI, + enrolled_courses=["digital_literacy_101"], + last_active_at=datetime.now(UTC) - timedelta(days=1), + completion_percentage=80.0, + days_inactive=1, + ), + "learner_003": LearnerProfile( + learner_id="learner_003", + name="Sneha Patil", + phone_number="+919123456789", + preferred_language=Language.MARATHI, + enrolled_courses=["digital_literacy_101", "entrepreneurship_301"], + last_active_at=datetime.now(UTC) - timedelta(days=10), + completion_percentage=15.0, + days_inactive=10, + ), +} + +_MOCK_COURSES: dict[str, list[CourseProgress]] = { + "learner_001": [ + CourseProgress( + course_id="digital_literacy_101", + course_name="Digital Literacy 101", + completion_percentage=75.0, + last_accessed_at=datetime.now(UTC) - timedelta(days=5), + pending_assignments=1, + ), + CourseProgress( + course_id="financial_basics_201", + course_name="Financial Basics", + completion_percentage=10.0, + last_accessed_at=datetime.now(UTC) - timedelta(days=12), + pending_assignments=3, + ), + ], + "learner_002": [ + CourseProgress( + course_id="digital_literacy_101", + course_name="Digital Literacy 101", + completion_percentage=80.0, + last_accessed_at=datetime.now(UTC) - timedelta(days=1), + pending_assignments=0, + ), + ], + "learner_003": [ + CourseProgress( + course_id="digital_literacy_101", + course_name="Digital Literacy 101", + completion_percentage=20.0, + last_accessed_at=datetime.now(UTC) - timedelta(days=10), + pending_assignments=4, + ), + CourseProgress( + course_id="entrepreneurship_301", + course_name="Entrepreneurship Fundamentals", + completion_percentage=5.0, + last_accessed_at=datetime.now(UTC) - timedelta(days=10), + pending_assignments=2, + ), + ], +} + + +class MockLMSAdapter(BaseLMSAdapter): + """In-memory mock implementation of BaseLMSAdapter.""" + + async def get_learner_profile(self, learner_id: str) -> LearnerProfile: + profile = _MOCK_LEARNERS.get(learner_id) + if not profile: + raise LearnerNotFoundError(learner_id) + logger.debug("mock_lms.get_learner_profile", learner_id=learner_id) + return profile + + async def get_learner_activity(self, learner_id: str) -> LearnerActivity: + if learner_id not in _MOCK_LEARNERS: + raise LearnerNotFoundError(learner_id) + + courses = _MOCK_COURSES.get(learner_id, []) + total_pct = ( + sum(c.completion_percentage for c in courses) / len(courses) + if courses + else 0.0 + ) + profile = _MOCK_LEARNERS[learner_id] + logger.debug("mock_lms.get_learner_activity", learner_id=learner_id) + return LearnerActivity( + learner_id=learner_id, + courses=courses, + total_completion_percentage=round(total_pct, 2), + days_since_last_login=profile.days_inactive, + ) + + async def update_engagement_log( + self, + learner_id: str, + event_type: str, + metadata: dict, + ) -> None: + logger.info( + "mock_lms.engagement_log", + learner_id=learner_id, + event_type=event_type, + metadata=metadata, + ) + # No-op in mock — real adapter will POST to Frappe REST API diff --git a/app/api/__init__.py b/app/api/__init__.py new file mode 100644 index 0000000..dff53e5 --- /dev/null +++ b/app/api/__init__.py @@ -0,0 +1 @@ +"""API package.""" diff --git a/app/api/v1/__init__.py b/app/api/v1/__init__.py new file mode 100644 index 0000000..b08cd20 --- /dev/null +++ b/app/api/v1/__init__.py @@ -0,0 +1 @@ +"""API v1 package.""" diff --git a/app/api/v1/health.py b/app/api/v1/health.py new file mode 100644 index 0000000..d494c67 --- /dev/null +++ b/app/api/v1/health.py @@ -0,0 +1,66 @@ +"""Health check router.""" + +from __future__ import annotations + +import structlog +from fastapi import APIRouter +from fastapi.responses import JSONResponse + +from app.core.config import settings +from app.models.schemas import HealthResponse + +router = APIRouter() +logger = structlog.get_logger(__name__) + + +@router.get( + "", + response_model=HealthResponse, + summary="Application health check", + description=( + "Returns 200 when the application is running. " + "Additional dependency checks (DB, LMS) are included in `checks`." + ), +) +async def health_check() -> HealthResponse: + """Liveness + basic readiness probe.""" + checks: dict[str, str] = { + "lms_adapter": "mock" if settings.TAP_LMS_USE_MOCK else "live", + "voice_provider": _detect_voice_provider(), + } + logger.debug("health_check.ok", checks=checks) + return HealthResponse( + status="ok", + version=settings.VERSION, + environment=settings.ENVIRONMENT, + checks=checks, + ) + + +@router.get( + "/live", + summary="Kubernetes liveness probe", + include_in_schema=False, +) +async def liveness() -> JSONResponse: + return JSONResponse({"status": "alive"}) + + +@router.get( + "/ready", + summary="Kubernetes readiness probe", + include_in_schema=False, +) +async def readiness() -> JSONResponse: + return JSONResponse({"status": "ready"}) + + +# ── Helpers ──────────────────────────────────────────────────────────────────── + + +def _detect_voice_provider() -> str: + if settings.VAPI_API_KEY: + return "vapi" + if settings.TWILIO_ACCOUNT_SID: + return "twilio" + return "mock" diff --git a/app/api/v1/webhooks.py b/app/api/v1/webhooks.py new file mode 100644 index 0000000..edf2e4e --- /dev/null +++ b/app/api/v1/webhooks.py @@ -0,0 +1,103 @@ +""" +Inbound webhook router. + +Handles call events from VAPI, Twilio, and WhatsApp. +Each provider adapter normalises its payload into a WebhookPayload +before the shared handler processes it. +""" + +from __future__ import annotations + +import structlog +from fastapi import APIRouter, BackgroundTasks, HTTPException, Request, status + +from app.models.schemas import WebhookPayload + +router = APIRouter() +logger = structlog.get_logger(__name__) + + +@router.post( + "/voice", + status_code=status.HTTP_202_ACCEPTED, + summary="Inbound voice event webhook", + description=( + "Receives normalised call events (transcript, call.ended, etc.) " + "from VAPI or Twilio. The payload is validated and handed off to the " + "conversation service asynchronously." + ), +) +async def voice_webhook( + payload: WebhookPayload, + background_tasks: BackgroundTasks, +) -> dict[str, str]: + """Accept and queue a voice webhook event for processing.""" + logger.info( + "webhook.voice.received", + provider=payload.provider, + event_type=payload.event_type, + call_id=payload.call_id, + ) + # TODO (Part 3): wire to ConversationService + background_tasks.add_task(_handle_voice_event, payload) + return {"status": "accepted", "call_id": payload.call_id} + + +@router.post( + "/whatsapp", + status_code=status.HTTP_200_OK, + summary="Inbound WhatsApp message webhook", +) +async def whatsapp_webhook( + request: Request, + background_tasks: BackgroundTasks, +) -> dict[str, str]: + """ + Meta WhatsApp webhook. + + Meta requires a 200 response within 20 seconds; heavy processing is + deferred to a background task. + """ + body = await request.json() + logger.info("webhook.whatsapp.received", body_keys=list(body.keys())) + # TODO (Part 3): parse and route WhatsApp events + background_tasks.add_task(_handle_whatsapp_event, body) + return {"status": "accepted"} + + +@router.get( + "/whatsapp", + summary="Meta webhook verification", + include_in_schema=False, +) +async def whatsapp_verify(request: Request) -> int: + """ + Respond to Meta's hub.challenge verification request. + + https://developers.facebook.com/docs/graph-api/webhooks/getting-started + """ + from app.core.config import settings # local import to avoid circular + + params = request.query_params + mode = params.get("hub.mode") + token = params.get("hub.verify_token") + challenge = params.get("hub.challenge") + + if mode == "subscribe" and token == settings.META_VERIFY_TOKEN: + logger.info("webhook.whatsapp.verified") + return int(challenge or 0) + + raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="Verification failed") + + +# ── Background task stubs (replaced in Part 3) ──────────────────────────────── + + +async def _handle_voice_event(payload: WebhookPayload) -> None: + """Stub: process a normalised voice event.""" + logger.debug("voice_event.stub", event_type=payload.event_type) + + +async def _handle_whatsapp_event(body: dict) -> None: + """Stub: process a raw WhatsApp event body.""" + logger.debug("whatsapp_event.stub", keys=list(body.keys())) diff --git a/app/core/__init__.py b/app/core/__init__.py new file mode 100644 index 0000000..76f85a4 --- /dev/null +++ b/app/core/__init__.py @@ -0,0 +1 @@ +"""Core package.""" diff --git a/app/core/config.py b/app/core/config.py new file mode 100644 index 0000000..fe8f703 --- /dev/null +++ b/app/core/config.py @@ -0,0 +1,95 @@ +""" +Centralised configuration via Pydantic-Settings. + +All secrets and runtime tunables are injected through environment +variables. Never hardcode values here — use `.env` (git-ignored) or +`.env.example` (committed) as reference. +""" + +from __future__ import annotations + +from functools import lru_cache + +from pydantic import AnyHttpUrl, field_validator +from pydantic_settings import BaseSettings, SettingsConfigDict + + +class Settings(BaseSettings): + """Application-wide settings loaded from environment variables.""" + + model_config = SettingsConfigDict( + env_file=".env", + env_file_encoding="utf-8", + case_sensitive=True, + ) + + # ── App identity ─────────────────────────────────────────────────────────── + APP_NAME: str = "tap-voice-agent" + VERSION: str = "0.1.0" + ENVIRONMENT: str = "development" # development | staging | production + DEBUG: bool = False + + # ── Server ───────────────────────────────────────────────────────────────── + HOST: str = "0.0.0.0" + PORT: int = 8000 + WORKERS: int = 1 + + # ── CORS ─────────────────────────────────────────────────────────────────── + CORS_ORIGINS: list[str] = ["*"] + + @field_validator("CORS_ORIGINS", mode="before") + @classmethod + def _parse_cors(cls, value: str | list[str]) -> list[str]: + if isinstance(value, str): + return [origin.strip() for origin in value.split(",")] + return value + + # ── Logging ──────────────────────────────────────────────────────────────── + LOG_LEVEL: str = "INFO" + LOG_FORMAT: str = "json" # json | console + + # ── VAPI (voice platform) — mock by default ──────────────────────────────── + VAPI_API_KEY: str = "" + VAPI_BASE_URL: AnyHttpUrl = AnyHttpUrl("https://api.vapi.ai") + VAPI_PHONE_NUMBER_ID: str = "" + + # ── Twilio (fallback calling) — mock by default ──────────────────────────── + TWILIO_ACCOUNT_SID: str = "" + TWILIO_AUTH_TOKEN: str = "" + TWILIO_FROM_NUMBER: str = "" + + # ── WhatsApp / Meta ──────────────────────────────────────────────────────── + META_WHATSAPP_TOKEN: str = "" + META_PHONE_NUMBER_ID: str = "" + META_VERIFY_TOKEN: str = "tap_verify_token" + + # ── TAP LMS (Frappe) ─────────────────────────────────────────────────────── + TAP_LMS_BASE_URL: AnyHttpUrl = AnyHttpUrl("https://lms.theapprenticeproject.org") + TAP_LMS_API_KEY: str = "" + TAP_LMS_API_SECRET: str = "" + TAP_LMS_USE_MOCK: bool = True # flip to False when real creds are available + + # ── Language detection ───────────────────────────────────────────────────── + DEFAULT_LANGUAGE: str = "en" + SUPPORTED_LANGUAGES: list[str] = ["hi", "mr", "pa", "en"] + + # ── Engagement / nudging ─────────────────────────────────────────────────── + NUDGE_INACTIVITY_DAYS: int = 3 # days of LMS inactivity before nudge + NUDGE_MAX_PER_WEEK: int = 2 # max calls per learner per week + + # ── Metrics / experiments ────────────────────────────────────────────────── + ENABLE_METRICS: bool = True + METRICS_EXPORT_INTERVAL: int = 60 # seconds + + # ── Database (optional — for experiment logs) ────────────────────────────── + DATABASE_URL: str = "sqlite+aiosqlite:///./tap_agent.db" + + +@lru_cache(maxsize=1) +def get_settings() -> Settings: + """Return a cached singleton Settings instance.""" + return Settings() + + +# Module-level singleton for convenient import +settings: Settings = get_settings() diff --git a/app/core/logging.py b/app/core/logging.py new file mode 100644 index 0000000..7a9a487 --- /dev/null +++ b/app/core/logging.py @@ -0,0 +1,62 @@ +"""Structured logging configuration using structlog.""" + +from __future__ import annotations + +import logging +import sys + +import structlog + +from app.core.config import settings + + +def configure_logging() -> None: + """ + Configure structlog with JSON or console rendering depending on + the LOG_FORMAT setting. Call once at application startup. + """ + log_level = getattr(logging, settings.LOG_LEVEL.upper(), logging.INFO) + + shared_processors: list[structlog.types.Processor] = [ + structlog.contextvars.merge_contextvars, + structlog.stdlib.add_logger_name, + structlog.stdlib.add_log_level, + structlog.processors.TimeStamper(fmt="iso"), + structlog.processors.StackInfoRenderer(), + ] + + if settings.LOG_FORMAT == "json": + renderer: structlog.types.Processor = structlog.processors.JSONRenderer() + else: + renderer = structlog.dev.ConsoleRenderer(colors=True) + + structlog.configure( + processors=[ + *shared_processors, + structlog.stdlib.ProcessorFormatter.wrap_for_formatter, + ], + wrapper_class=structlog.stdlib.BoundLogger, + context_class=dict, + logger_factory=structlog.stdlib.LoggerFactory(), + cache_logger_on_first_use=True, + ) + + formatter = structlog.stdlib.ProcessorFormatter( + processors=[ + structlog.stdlib.ProcessorFormatter.remove_processors_meta, + renderer, + ], + foreign_pre_chain=shared_processors, + ) + + handler = logging.StreamHandler(sys.stdout) + handler.setFormatter(formatter) + + root_logger = logging.getLogger() + root_logger.handlers.clear() + root_logger.addHandler(handler) + root_logger.setLevel(log_level) + + # Suppress noisy third-party loggers in production + for noisy in ("uvicorn.access", "httpx", "httpcore"): + logging.getLogger(noisy).setLevel(logging.WARNING) diff --git a/app/main.py b/app/main.py new file mode 100644 index 0000000..e5d1ca1 --- /dev/null +++ b/app/main.py @@ -0,0 +1,72 @@ +""" +TAP Voice Agent — FastAPI application factory. + +This module wires together all routers, middleware, and lifespan +events. It is intentionally thin: business logic lives in services/. +""" + +from collections.abc import AsyncGenerator +from contextlib import asynccontextmanager + +import structlog +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware +from prometheus_fastapi_instrumentator import Instrumentator + +from app.api.v1 import health, webhooks +from app.core.config import settings +from app.core.logging import configure_logging + +logger = structlog.get_logger(__name__) + + +@asynccontextmanager +async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]: + """Application lifespan: startup → yield → shutdown.""" + configure_logging() + logger.info( + "tap_voice_agent.startup", + environment=settings.ENVIRONMENT, + version=settings.VERSION, + ) + yield + logger.info("tap_voice_agent.shutdown") + + +def create_app() -> FastAPI: + """Application factory — returns a configured FastAPI instance.""" + app = FastAPI( + title="TAP Voice Agent API", + description=( + "Multilingual Voice Agent for Student Engagement and Learning Nudges " + "— The Apprentice Project (C4GT 2026)" + ), + version=settings.VERSION, + docs_url="/docs" if settings.ENVIRONMENT != "production" else None, + redoc_url="/redoc" if settings.ENVIRONMENT != "production" else None, + lifespan=lifespan, + ) + + # ── Middleware ───────────────────────────────────────────────────────────── + app.add_middleware( + CORSMiddleware, + allow_origins=settings.CORS_ORIGINS, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], + ) + + # ── Prometheus metrics ───────────────────────────────────────────────────── + Instrumentator( + should_group_status_codes=True, + excluded_handlers=["/health", "/metrics"], + ).instrument(app).expose(app, endpoint="/metrics", include_in_schema=False) + + # ── Routers ──────────────────────────────────────────────────────────────── + app.include_router(health.router, prefix="/health", tags=["Health"]) + app.include_router(webhooks.router, prefix="/api/v1/webhooks", tags=["Webhooks"]) + + return app + + +app: FastAPI = create_app() diff --git a/app/models/__init__.py b/app/models/__init__.py new file mode 100644 index 0000000..53f3a7c --- /dev/null +++ b/app/models/__init__.py @@ -0,0 +1 @@ +"""Models package.""" diff --git a/app/models/schemas.py b/app/models/schemas.py new file mode 100644 index 0000000..6b8d8bf --- /dev/null +++ b/app/models/schemas.py @@ -0,0 +1,195 @@ +""" +Domain schemas (Pydantic v2). + +These are the canonical data shapes shared across the application. +Each schema owns its own validation rules; adapters translate +between external API shapes and these internal schemas. +""" + +from __future__ import annotations + +from datetime import UTC, datetime +from enum import Enum +from typing import Any +from uuid import UUID, uuid4 + +from pydantic import BaseModel, ConfigDict, Field + +# ── Enumerations ─────────────────────────────────────────────────────────────── + + +class Language(str, Enum): + """Supported conversation languages.""" + + HINDI = "hi" + MARATHI = "mr" + PUNJABI = "pa" + ENGLISH = "en" + + +class CallStatus(str, Enum): + """Lifecycle states of a voice call.""" + + PENDING = "pending" + QUEUED = "queued" + IN_PROGRESS = "in_progress" + COMPLETED = "completed" + FAILED = "failed" + NO_ANSWER = "no_answer" + BUSY = "busy" + + +class NudgeType(str, Enum): + """Classification of outbound engagement nudges.""" + + INACTIVITY_REMINDER = "inactivity_reminder" + PROGRESS_UPDATE = "progress_update" + COURSE_RECOMMENDATION = "course_recommendation" + ASSIGNMENT_DUE = "assignment_due" + MILESTONE_CELEBRATION = "milestone_celebration" + + +class ConversationTurn(str, Enum): + """Speaker role within a conversation turn.""" + + AGENT = "agent" + LEARNER = "learner" + SYSTEM = "system" + + +# ── Learner ──────────────────────────────────────────────────────────────────── + + +class LearnerProfile(BaseModel): + """Snapshot of a TAP LMS learner used for nudge personalisation.""" + + model_config = ConfigDict(from_attributes=True) + + learner_id: str = Field(..., description="Unique TAP LMS learner identifier") + name: str + phone_number: str = Field(..., pattern=r"^\+?[1-9]\d{7,14}$") + preferred_language: Language = Language.ENGLISH + enrolled_courses: list[str] = Field(default_factory=list) + last_active_at: datetime | None = None + completion_percentage: float = Field(default=0.0, ge=0.0, le=100.0) + days_inactive: int = Field(default=0, ge=0) + + +# ── LMS Activity ─────────────────────────────────────────────────────────────── + + +class CourseProgress(BaseModel): + """Progress snapshot for a single enrolled course.""" + + course_id: str + course_name: str + completion_percentage: float = Field(ge=0.0, le=100.0) + last_accessed_at: datetime | None = None + pending_assignments: int = Field(default=0, ge=0) + + +class LearnerActivity(BaseModel): + """Aggregated LMS activity for a learner, used by the nudge engine.""" + + learner_id: str + courses: list[CourseProgress] = Field(default_factory=list) + total_completion_percentage: float = Field(default=0.0, ge=0.0, le=100.0) + days_since_last_login: int = Field(default=0, ge=0) + fetched_at: datetime = Field(default_factory=lambda: datetime.now(UTC)) + + +# ── Calls ────────────────────────────────────────────────────────────────────── + + +class OutboundCallRequest(BaseModel): + """Payload to schedule an outbound voice call.""" + + learner_id: str + nudge_type: NudgeType + preferred_language: Language = Language.ENGLISH + scheduled_at: datetime | None = None # None = immediate + metadata: dict[str, Any] = Field(default_factory=dict) + + +class CallRecord(BaseModel): + """Persistent record of a voice call attempt.""" + + call_id: UUID = Field(default_factory=uuid4) + learner_id: str + nudge_type: NudgeType + language: Language + status: CallStatus = CallStatus.PENDING + provider: str = "mock" # vapi | twilio | mock + provider_call_id: str | None = None + duration_seconds: int | None = None + started_at: datetime | None = None + ended_at: datetime | None = None + created_at: datetime = Field(default_factory=lambda: datetime.now(UTC)) + updated_at: datetime = Field(default_factory=lambda: datetime.now(UTC)) + error_message: str | None = None + + +# ── Conversation ─────────────────────────────────────────────────────────────── + + +class ConversationMessage(BaseModel): + """A single turn in a voice conversation.""" + + message_id: UUID = Field(default_factory=uuid4) + call_id: UUID + turn: ConversationTurn + text: str + language: Language + confidence: float | None = Field(default=None, ge=0.0, le=1.0) + timestamp: datetime = Field(default_factory=lambda: datetime.now(UTC)) + + +class WebhookPayload(BaseModel): + """ + Normalised inbound webhook payload from any voice provider. + + Adapters (VAPI, Twilio) must translate their native payloads + into this shape before handing off to the conversation service. + """ + + provider: str + event_type: str # call.started | call.ended | transcript | dtmf | etc. + call_id: str + learner_id: str | None = None + transcript: str | None = None + language_hint: str | None = None + metadata: dict[str, Any] = Field(default_factory=dict) + received_at: datetime = Field(default_factory=lambda: datetime.now(UTC)) + + +# ── Nudge ────────────────────────────────────────────────────────────────────── + + +class NudgeDecision(BaseModel): + """Result of the nudge engine evaluation for a single learner.""" + + learner_id: str + should_nudge: bool + nudge_type: NudgeType | None = None + reason: str = "" + priority: int = Field(default=0, ge=0, le=10) # higher = more urgent + + +# ── API responses ────────────────────────────────────────────────────────────── + + +class HealthResponse(BaseModel): + """Response shape for the /health endpoint.""" + + status: str + version: str + environment: str + checks: dict[str, str] = Field(default_factory=dict) + + +class ErrorResponse(BaseModel): + """Standard error envelope.""" + + error: str + detail: str | None = None + request_id: str | None = None diff --git a/app/services/__init__.py b/app/services/__init__.py new file mode 100644 index 0000000..c7775ec --- /dev/null +++ b/app/services/__init__.py @@ -0,0 +1 @@ +"""Services package.""" diff --git a/app/services/language_detector.py b/app/services/language_detector.py new file mode 100644 index 0000000..aac1d6e --- /dev/null +++ b/app/services/language_detector.py @@ -0,0 +1,98 @@ +""" +Language Detection Service. + +Detects the language of a learner utterance using simple heuristics +(character-set and keyword matching). Replace with a proper NLP model +(e.g. langdetect, fastText) in Part 3 without changing the interface. +""" + +from __future__ import annotations + +import re + +import structlog + +from app.models.schemas import Language + +logger = structlog.get_logger(__name__) + +# ── Script / keyword heuristics ──────────────────────────────────────────────── + +# Devanagari Unicode block: used by Hindi and Marathi +_DEVANAGARI_RE = re.compile(r"[\u0900-\u097F]") + +# Gurmukhi Unicode block: used by Punjabi +_GURMUKHI_RE = re.compile(r"[\u0A00-\u0A7F]") + +# A handful of common Marathi-specific words (romanised, for audio transcripts) +_MARATHI_KEYWORDS = {"मला", "नाही", "आहे", "करायचे", "शाळा", "मराठी"} + +# Common Punjabi romanised markers +_PUNJABI_KEYWORDS = {"ਮੈਨੂੰ", "ਨਹੀਂ", "ਹੈ", "ਕਰਨਾ", "ਪੰਜਾਬੀ"} + + +class LanguageDetector: + """ + Lightweight heuristic language detector. + + Returns one of: Language.HINDI, Language.MARATHI, Language.PUNJABI, + Language.ENGLISH (fallback). + """ + + def detect(self, text: str, fallback: Language = Language.ENGLISH) -> Language: + """ + Detect the language of *text*. + + Priority order: + 1. Gurmukhi script → Punjabi + 2. Marathi keywords → Marathi + 3. Devanagari script → Hindi + 4. Fallback → English + + Args: + text: Raw utterance string (ASR transcript or typed input). + fallback: Language to return when detection is inconclusive. + + Returns: + A Language enum value. + """ + if not text or not text.strip(): + logger.debug("lang_detector.empty_text", fallback=fallback) + return fallback + + # ── Script-based detection ───────────────────────────────────────────── + if _GURMUKHI_RE.search(text): + lang = Language.PUNJABI + elif any(kw in text for kw in _MARATHI_KEYWORDS): + lang = Language.MARATHI + elif _DEVANAGARI_RE.search(text): + # Default Devanagari → Hindi; Marathi check already passed above + lang = Language.HINDI + else: + lang = fallback + + logger.debug("lang_detector.result", detected=lang, text_snippet=text[:40]) + return lang + + def detect_from_hint(self, hint: str | None) -> Language | None: + """ + Try to parse a BCP-47 language tag from a provider hint. + + Args: + hint: e.g. "hi-IN", "mr", "pa-IN", "en-US" + + Returns: + Matched Language or None if unrecognised. + """ + if not hint: + return None + prefix = hint.split("-")[0].lower() + mapping = { + "hi": Language.HINDI, + "mr": Language.MARATHI, + "pa": Language.PUNJABI, + "en": Language.ENGLISH, + } + result = mapping.get(prefix) + logger.debug("lang_detector.hint", hint=hint, resolved=result) + return result diff --git a/app/services/nudge_engine.py b/app/services/nudge_engine.py new file mode 100644 index 0000000..82e45ca --- /dev/null +++ b/app/services/nudge_engine.py @@ -0,0 +1,131 @@ +""" +Learning Nudge Engine. + +Evaluates whether a learner should receive an outbound engagement call +and decides which nudge type is most appropriate. This is a pure +in-process service; it has no external I/O of its own — the LMS adapter +is injected. +""" + +from __future__ import annotations + +import structlog + +from app.adapters.lms import BaseLMSAdapter, LearnerNotFoundError +from app.core.config import settings +from app.models.schemas import LearnerActivity, NudgeDecision, NudgeType + +logger = structlog.get_logger(__name__) + + +class NudgeEngine: + """ + Rule-based nudge decision engine. + + Rules are evaluated in priority order; the first matching rule wins. + Replace or extend with an ML scoring model in a later iteration. + """ + + def __init__(self, lms_adapter: BaseLMSAdapter) -> None: + self._lms = lms_adapter + + async def evaluate(self, learner_id: str) -> NudgeDecision: + """ + Evaluate nudge eligibility for a single learner. + + Returns a NudgeDecision with should_nudge=True if any rule fires. + """ + try: + activity = await self._lms.get_learner_activity(learner_id) + except LearnerNotFoundError: + logger.warning("nudge_engine.learner_not_found", learner_id=learner_id) + return NudgeDecision( + learner_id=learner_id, + should_nudge=False, + reason="Learner not found in LMS", + ) + + decision = self._apply_rules(activity) + logger.info( + "nudge_engine.decision", + learner_id=learner_id, + should_nudge=decision.should_nudge, + nudge_type=decision.nudge_type, + reason=decision.reason, + ) + return decision + + # ── Rule evaluation ──────────────────────────────────────────────────────── + + def _apply_rules(self, activity: LearnerActivity) -> NudgeDecision: + """Apply rules in descending priority order.""" + for rule in self._rules(): + decision = rule(activity) + if decision.should_nudge: + return decision + + return NudgeDecision( + learner_id=activity.learner_id, + should_nudge=False, + reason="No nudge rule matched", + priority=0, + ) + + def _rules(self): + """Return ordered list of rule functions.""" + return [ + self._rule_high_inactivity, + self._rule_pending_assignments, + self._rule_near_completion, + self._rule_moderate_inactivity, + ] + + def _rule_high_inactivity(self, activity: LearnerActivity) -> NudgeDecision: + """Nudge if inactive for ≥ 2× the configured threshold.""" + threshold = settings.NUDGE_INACTIVITY_DAYS * 2 + if activity.days_since_last_login >= threshold: + return NudgeDecision( + learner_id=activity.learner_id, + should_nudge=True, + nudge_type=NudgeType.INACTIVITY_REMINDER, + reason=f"Inactive for {activity.days_since_last_login} days (high-priority threshold: {threshold})", + priority=9, + ) + return NudgeDecision(learner_id=activity.learner_id, should_nudge=False) + + def _rule_pending_assignments(self, activity: LearnerActivity) -> NudgeDecision: + """Nudge if any course has ≥ 3 pending assignments.""" + overdue_courses = [c for c in activity.courses if c.pending_assignments >= 3] + if overdue_courses: + return NudgeDecision( + learner_id=activity.learner_id, + should_nudge=True, + nudge_type=NudgeType.ASSIGNMENT_DUE, + reason=f"{len(overdue_courses)} course(s) with ≥3 pending assignments", + priority=8, + ) + return NudgeDecision(learner_id=activity.learner_id, should_nudge=False) + + def _rule_near_completion(self, activity: LearnerActivity) -> NudgeDecision: + """Celebrate / motivate learner when ≥ 75% overall complete.""" + if activity.total_completion_percentage >= 75.0: + return NudgeDecision( + learner_id=activity.learner_id, + should_nudge=True, + nudge_type=NudgeType.MILESTONE_CELEBRATION, + reason=f"Overall completion at {activity.total_completion_percentage:.0f}%", + priority=6, + ) + return NudgeDecision(learner_id=activity.learner_id, should_nudge=False) + + def _rule_moderate_inactivity(self, activity: LearnerActivity) -> NudgeDecision: + """Nudge if inactive for ≥ the configured base threshold.""" + if activity.days_since_last_login >= settings.NUDGE_INACTIVITY_DAYS: + return NudgeDecision( + learner_id=activity.learner_id, + should_nudge=True, + nudge_type=NudgeType.INACTIVITY_REMINDER, + reason=f"Inactive for {activity.days_since_last_login} days", + priority=5, + ) + return NudgeDecision(learner_id=activity.learner_id, should_nudge=False) diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 0000000..d6eddbc --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,74 @@ +version: "3.9" + +services: + # ── TAP Voice Agent API ────────────────────────────────────────────────────── + api: + build: + context: . + dockerfile: Dockerfile + target: runtime + image: tap-voice-agent:dev + container_name: tap_voice_agent_api + restart: unless-stopped + ports: + - "${PORT:-8000}:8000" + env_file: + - .env + environment: + - ENVIRONMENT=development + - LOG_FORMAT=console + volumes: + # Hot-reload in development — remove in production + - ./app:/app/app:ro + depends_on: + - redis + healthcheck: + test: ["CMD", "python", "-c", + "import urllib.request; urllib.request.urlopen('http://localhost:8000/health/live')"] + interval: 15s + timeout: 5s + retries: 3 + start_period: 10s + + # ── Redis (task queue / session cache) ──────────────────────────────────────── + redis: + image: redis:7-alpine + container_name: tap_redis + restart: unless-stopped + ports: + - "6379:6379" + command: redis-server --save 60 1 --loglevel warning + + # ── Prometheus ──────────────────────────────────────────────────────────────── + prometheus: + image: prom/prometheus:v2.51.0 + container_name: tap_prometheus + restart: unless-stopped + ports: + - "9090:9090" + volumes: + - ./infra/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml:ro + depends_on: + - api + profiles: + - observability + + # ── Grafana ─────────────────────────────────────────────────────────────────── + grafana: + image: grafana/grafana:10.4.0 + container_name: tap_grafana + restart: unless-stopped + ports: + - "3000:3000" + environment: + - GF_SECURITY_ADMIN_PASSWORD=admin + - GF_USERS_ALLOW_SIGN_UP=false + volumes: + - grafana_data:/var/lib/grafana + depends_on: + - prometheus + profiles: + - observability + +volumes: + grafana_data: diff --git a/infra/prometheus/prometheus.yml b/infra/prometheus/prometheus.yml new file mode 100644 index 0000000..64f74b7 --- /dev/null +++ b/infra/prometheus/prometheus.yml @@ -0,0 +1,9 @@ +global: + scrape_interval: 15s + evaluation_interval: 15s + +scrape_configs: + - job_name: 'tap_voice_agent' + metrics_path: '/metrics' + static_configs: + - targets: ['api:8000'] diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..4d82901 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,56 @@ +[tool.poetry] +name = "tap-voice-agent" +version = "0.1.0" +description = "Multilingual Voice Agent for Student Engagement — The Apprentice Project (C4GT 2026)" +authors = ["C4GT Contributors"] +license = "MIT" +readme = "README.md" +packages = [{ include = "app" }] + +[tool.poetry.dependencies] +python = "^3.11" +fastapi = "^0.115.0" +uvicorn = { version = "^0.34.0", extras = ["standard"] } +pydantic = "^2.11.0" +pydantic-settings = "^2.9.0" +python-dotenv = "^1.1.0" +httpx = "^0.28.0" +structlog = "^25.3.0" +prometheus-fastapi-instrumentator = "^7.1.0" + +[tool.poetry.group.dev.dependencies] +pytest = "^8.3.0" +pytest-asyncio = "^0.25.0" +pytest-cov = "^6.0.0" +httpx = "^0.28.0" +ruff = "^0.11.0" +mypy = "^1.15.0" +pre-commit = "^4.0.0" + +[tool.pytest.ini_options] +asyncio_mode = "auto" +testpaths = ["tests"] +addopts = "--cov=app --cov-report=term-missing --cov-report=xml --cov-fail-under=80" +filterwarnings = [ + # Suppress utcnow deprecation from pydantic internals (third-party) + "ignore:datetime.datetime.utcnow\\(\\) is deprecated:DeprecationWarning:pydantic", + # Turn our own deprecation warnings into errors to catch regressions + "error::DeprecationWarning:app", +] + +[tool.ruff] +line-length = 100 +target-version = "py311" + +[tool.ruff.lint] +select = ["E", "W", "F", "I", "B", "UP"] +ignore = ["E501"] + +[tool.mypy] +python_version = "3.11" +strict = true +ignore_missing_imports = true + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/requirements-dev.txt b/requirements-dev.txt new file mode 100644 index 0000000..d74afe2 --- /dev/null +++ b/requirements-dev.txt @@ -0,0 +1,7 @@ +pytest==8.3.5 +pytest-asyncio==0.25.3 +pytest-cov==6.1.0 +httpx==0.28.1 +ruff==0.11.10 +mypy==1.15.0 +pre-commit==4.2.0 diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..6a1c8e9 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,8 @@ +fastapi==0.115.12 +uvicorn[standard]==0.34.2 +pydantic==2.11.4 +pydantic-settings==2.9.1 +python-dotenv==1.1.0 +httpx==0.28.1 +structlog==25.3.0 +prometheus-fastapi-instrumentator==7.1.0 diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..46816dd --- /dev/null +++ b/tests/__init__.py @@ -0,0 +1 @@ +"""Tests package.""" diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..e53269c --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,23 @@ +"""Shared pytest fixtures.""" + +from __future__ import annotations + +import pytest +import pytest_asyncio +from httpx import ASGITransport, AsyncClient + +from app.main import app + + +@pytest.fixture(scope="session") +def anyio_backend(): + return "asyncio" + + +@pytest_asyncio.fixture +async def client() -> AsyncClient: + """Async test client wired directly to the ASGI app (no network calls).""" + async with AsyncClient( + transport=ASGITransport(app=app), base_url="http://testserver" + ) as ac: + yield ac diff --git a/tests/test_health.py b/tests/test_health.py new file mode 100644 index 0000000..87da658 --- /dev/null +++ b/tests/test_health.py @@ -0,0 +1,46 @@ +"""Tests for the /health endpoints.""" + +from __future__ import annotations + +import pytest +from httpx import AsyncClient + + +@pytest.mark.asyncio +async def test_health_returns_ok(client: AsyncClient) -> None: + response = await client.get("/health") + assert response.status_code == 200 + body = response.json() + assert body["status"] == "ok" + assert "version" in body + assert "environment" in body + assert "checks" in body + + +@pytest.mark.asyncio +async def test_health_checks_contains_expected_keys(client: AsyncClient) -> None: + response = await client.get("/health") + checks = response.json()["checks"] + assert "lms_adapter" in checks + assert "voice_provider" in checks + + +@pytest.mark.asyncio +async def test_health_lms_mock_flag(client: AsyncClient) -> None: + """When TAP_LMS_USE_MOCK=true (default), adapter should report 'mock'.""" + response = await client.get("/health") + assert response.json()["checks"]["lms_adapter"] == "mock" + + +@pytest.mark.asyncio +async def test_liveness_probe(client: AsyncClient) -> None: + response = await client.get("/health/live") + assert response.status_code == 200 + assert response.json()["status"] == "alive" + + +@pytest.mark.asyncio +async def test_readiness_probe(client: AsyncClient) -> None: + response = await client.get("/health/ready") + assert response.status_code == 200 + assert response.json()["status"] == "ready" diff --git a/tests/test_language_detector.py b/tests/test_language_detector.py new file mode 100644 index 0000000..57863b3 --- /dev/null +++ b/tests/test_language_detector.py @@ -0,0 +1,68 @@ +"""Tests for the language detection service.""" + +from __future__ import annotations + +import pytest + +from app.models.schemas import Language +from app.services.language_detector import LanguageDetector + + +@pytest.fixture +def detector() -> LanguageDetector: + return LanguageDetector() + + +# ── Script-based detection ───────────────────────────────────────────────────── + + +def test_detects_gurmukhi_as_punjabi(detector: LanguageDetector) -> None: + assert detector.detect("ਮੈਨੂੰ ਪੜ੍ਹਨਾ ਪਸੰਦ ਹੈ") == Language.PUNJABI + + +def test_detects_devanagari_as_hindi(detector: LanguageDetector) -> None: + assert detector.detect("नमस्ते, मुझे मदद चाहिए") == Language.HINDI + + +def test_detects_marathi_keyword(detector: LanguageDetector) -> None: + assert detector.detect("मला मराठी बोलायचे आहे") == Language.MARATHI + + +def test_detects_english_fallback(detector: LanguageDetector) -> None: + assert detector.detect("Hello, I need help with my course") == Language.ENGLISH + + +def test_empty_string_returns_fallback(detector: LanguageDetector) -> None: + assert detector.detect("", fallback=Language.HINDI) == Language.HINDI + + +def test_whitespace_only_returns_fallback(detector: LanguageDetector) -> None: + assert detector.detect(" ") == Language.ENGLISH + + +# ── BCP-47 hint parsing ──────────────────────────────────────────────────────── + + +@pytest.mark.parametrize( + "hint,expected", + [ + ("hi-IN", Language.HINDI), + ("hi", Language.HINDI), + ("mr-IN", Language.MARATHI), + ("pa-IN", Language.PUNJABI), + ("en-US", Language.ENGLISH), + ("en", Language.ENGLISH), + ], +) +def test_detect_from_hint( + detector: LanguageDetector, hint: str, expected: Language +) -> None: + assert detector.detect_from_hint(hint) == expected + + +def test_detect_from_hint_unknown(detector: LanguageDetector) -> None: + assert detector.detect_from_hint("fr-FR") is None + + +def test_detect_from_hint_none(detector: LanguageDetector) -> None: + assert detector.detect_from_hint(None) is None diff --git a/tests/test_mock_lms_adapter.py b/tests/test_mock_lms_adapter.py new file mode 100644 index 0000000..611d4fb --- /dev/null +++ b/tests/test_mock_lms_adapter.py @@ -0,0 +1,58 @@ +"""Tests for the Mock LMS adapter.""" + +from __future__ import annotations + +import pytest + +from app.adapters.lms.base import LearnerNotFoundError +from app.adapters.lms.mock_adapter import MockLMSAdapter +from app.models.schemas import Language + + +@pytest.fixture +def adapter() -> MockLMSAdapter: + return MockLMSAdapter() + + +@pytest.mark.asyncio +async def test_get_known_learner(adapter: MockLMSAdapter) -> None: + profile = await adapter.get_learner_profile("learner_001") + assert profile.learner_id == "learner_001" + assert profile.preferred_language == Language.HINDI + + +@pytest.mark.asyncio +async def test_get_unknown_learner_raises(adapter: MockLMSAdapter) -> None: + with pytest.raises(LearnerNotFoundError): + await adapter.get_learner_profile("nonexistent_xyz") + + +@pytest.mark.asyncio +async def test_get_learner_activity_returns_courses(adapter: MockLMSAdapter) -> None: + activity = await adapter.get_learner_activity("learner_001") + assert activity.learner_id == "learner_001" + assert len(activity.courses) > 0 + assert 0 <= activity.total_completion_percentage <= 100 + + +@pytest.mark.asyncio +async def test_get_learner_activity_unknown_raises(adapter: MockLMSAdapter) -> None: + with pytest.raises(LearnerNotFoundError): + await adapter.get_learner_activity("ghost_learner") + + +@pytest.mark.asyncio +async def test_update_engagement_log_noop(adapter: MockLMSAdapter) -> None: + """Should not raise — mock silently logs.""" + await adapter.update_engagement_log( + learner_id="learner_001", + event_type="call_attempted", + metadata={"call_id": "c1"}, + ) + + +@pytest.mark.asyncio +async def test_all_seed_learners_have_activity(adapter: MockLMSAdapter) -> None: + for lid in ("learner_001", "learner_002", "learner_003"): + activity = await adapter.get_learner_activity(lid) + assert activity.learner_id == lid diff --git a/tests/test_nudge_engine.py b/tests/test_nudge_engine.py new file mode 100644 index 0000000..89cc02e --- /dev/null +++ b/tests/test_nudge_engine.py @@ -0,0 +1,61 @@ +"""Tests for the NudgeEngine service.""" + +from __future__ import annotations + +import pytest +import pytest_asyncio + +from app.adapters.lms.mock_adapter import MockLMSAdapter +from app.models.schemas import NudgeType +from app.services.nudge_engine import NudgeEngine + + +@pytest_asyncio.fixture +async def engine() -> NudgeEngine: + return NudgeEngine(lms_adapter=MockLMSAdapter()) + + +# ── Mock learner scenarios from mock_adapter seed data ───────────────────────── +# learner_001: 5 days inactive, 42% complete, 1 pending assignment +# learner_002: 1 day inactive, 80% complete, 0 pending assignments +# learner_003: 10 days inactive, 15% complete, 6 pending assignments total + + +@pytest.mark.asyncio +async def test_high_inactivity_triggers_nudge(engine: NudgeEngine) -> None: + """learner_003 has been inactive 10 days — should fire high-priority nudge.""" + decision = await engine.evaluate("learner_003") + assert decision.should_nudge is True + assert decision.nudge_type == NudgeType.INACTIVITY_REMINDER + assert decision.priority >= 7 + + +@pytest.mark.asyncio +async def test_pending_assignments_triggers_nudge(engine: NudgeEngine) -> None: + """learner_003 has 6 total pending assignments — ASSIGNMENT_DUE should fire.""" + decision = await engine.evaluate("learner_003") + assert decision.should_nudge is True + # Either INACTIVITY_REMINDER (higher priority) or ASSIGNMENT_DUE is acceptable + assert decision.nudge_type in {NudgeType.INACTIVITY_REMINDER, NudgeType.ASSIGNMENT_DUE} + + +@pytest.mark.asyncio +async def test_near_completion_milestone(engine: NudgeEngine) -> None: + """learner_002 is at 80% completion — should receive MILESTONE_CELEBRATION.""" + decision = await engine.evaluate("learner_002") + assert decision.should_nudge is True + assert decision.nudge_type == NudgeType.MILESTONE_CELEBRATION + + +@pytest.mark.asyncio +async def test_unknown_learner_no_nudge(engine: NudgeEngine) -> None: + """Non-existent learner should return should_nudge=False without raising.""" + decision = await engine.evaluate("learner_does_not_exist") + assert decision.should_nudge is False + assert "not found" in decision.reason.lower() + + +@pytest.mark.asyncio +async def test_decision_has_learner_id(engine: NudgeEngine) -> None: + decision = await engine.evaluate("learner_001") + assert decision.learner_id == "learner_001" diff --git a/tests/test_schemas.py b/tests/test_schemas.py new file mode 100644 index 0000000..443f216 --- /dev/null +++ b/tests/test_schemas.py @@ -0,0 +1,89 @@ +"""Tests for Pydantic schemas — validation rules and serialisation.""" + +from __future__ import annotations + +import pytest +from pydantic import ValidationError + +from app.models.schemas import ( + CallRecord, + CallStatus, + Language, + LearnerProfile, + NudgeType, + OutboundCallRequest, + WebhookPayload, +) + + +class TestLearnerProfile: + def test_valid_profile(self) -> None: + p = LearnerProfile( + learner_id="l1", + name="Test User", + phone_number="+919876543210", + ) + assert p.preferred_language == Language.ENGLISH + assert p.completion_percentage == 0.0 + + def test_invalid_phone_number(self) -> None: + with pytest.raises(ValidationError): + LearnerProfile(learner_id="l1", name="X", phone_number="not_a_phone") + + def test_completion_out_of_range(self) -> None: + with pytest.raises(ValidationError): + LearnerProfile( + learner_id="l1", + name="X", + phone_number="+919876543210", + completion_percentage=150.0, + ) + + +class TestOutboundCallRequest: + def test_defaults(self) -> None: + req = OutboundCallRequest( + learner_id="l1", + nudge_type=NudgeType.INACTIVITY_REMINDER, + ) + assert req.preferred_language == Language.ENGLISH + assert req.scheduled_at is None + assert req.metadata == {} + + def test_invalid_nudge_type(self) -> None: + with pytest.raises(ValidationError): + OutboundCallRequest(learner_id="l1", nudge_type="unknown_type") + + +class TestCallRecord: + def test_default_status_is_pending(self) -> None: + record = CallRecord( + learner_id="l1", + nudge_type=NudgeType.PROGRESS_UPDATE, + language=Language.HINDI, + ) + assert record.status == CallStatus.PENDING + assert record.provider == "mock" + + def test_call_id_is_uuid(self) -> None: + record = CallRecord( + learner_id="l1", + nudge_type=NudgeType.PROGRESS_UPDATE, + language=Language.HINDI, + ) + assert str(record.call_id) # UUID is truthy + + +class TestWebhookPayload: + def test_minimal_payload(self) -> None: + p = WebhookPayload( + provider="vapi", + event_type="call.started", + call_id="c123", + ) + assert p.learner_id is None + assert p.metadata == {} + + def test_received_at_auto_populated(self) -> None: + p = WebhookPayload(provider="twilio", event_type="transcript", call_id="c1") + assert p.received_at is not None diff --git a/tests/test_webhooks.py b/tests/test_webhooks.py new file mode 100644 index 0000000..16f4fcc --- /dev/null +++ b/tests/test_webhooks.py @@ -0,0 +1,64 @@ +"""Tests for inbound webhook endpoints.""" + +from __future__ import annotations + +import pytest +from httpx import AsyncClient + + +@pytest.mark.asyncio +async def test_voice_webhook_accepted(client: AsyncClient) -> None: + payload = { + "provider": "mock", + "event_type": "transcript", + "call_id": "call_abc123", + "learner_id": "learner_001", + "transcript": "नमस्ते, मुझे मदद चाहिए", + "language_hint": "hi-IN", + "metadata": {}, + } + response = await client.post("/api/v1/webhooks/voice", json=payload) + assert response.status_code == 202 + body = response.json() + assert body["status"] == "accepted" + assert body["call_id"] == "call_abc123" + + +@pytest.mark.asyncio +async def test_voice_webhook_missing_required_fields(client: AsyncClient) -> None: + """Missing event_type / call_id should return 422.""" + response = await client.post("/api/v1/webhooks/voice", json={"provider": "mock"}) + assert response.status_code == 422 + + +@pytest.mark.asyncio +async def test_whatsapp_webhook_accepted(client: AsyncClient) -> None: + payload = {"object": "whatsapp_business_account", "entry": []} + response = await client.post("/api/v1/webhooks/whatsapp", json=payload) + assert response.status_code == 200 + assert response.json()["status"] == "accepted" + + +@pytest.mark.asyncio +async def test_whatsapp_verify_valid_token(client: AsyncClient) -> None: + """Meta hub.challenge verification with correct token should echo challenge.""" + params = { + "hub.mode": "subscribe", + "hub.verify_token": "tap_verify_token", + "hub.challenge": "999888", + } + response = await client.get("/api/v1/webhooks/whatsapp", params=params) + assert response.status_code == 200 + assert response.text == "999888" + + +@pytest.mark.asyncio +async def test_whatsapp_verify_invalid_token(client: AsyncClient) -> None: + """Wrong verify_token should return 403.""" + params = { + "hub.mode": "subscribe", + "hub.verify_token": "wrong_token", + "hub.challenge": "123", + } + response = await client.get("/api/v1/webhooks/whatsapp", params=params) + assert response.status_code == 403 From 1ee5a15d8cd1b3a145ee7db020133abe2f3911c9 Mon Sep 17 00:00:00 2001 From: SuryaPratap Date: Tue, 5 May 2026 00:50:11 +0530 Subject: [PATCH 2/4] fix: resolve mypy type check errors for strict compliance --- app/adapters/lms/base.py | 3 ++- app/adapters/lms/frappe_adapter.py | 3 ++- app/adapters/lms/mock_adapter.py | 3 ++- app/api/v1/webhooks.py | 3 ++- app/services/nudge_engine.py | 3 ++- 5 files changed, 10 insertions(+), 5 deletions(-) diff --git a/app/adapters/lms/base.py b/app/adapters/lms/base.py index f2c85ce..f8b7bc2 100644 --- a/app/adapters/lms/base.py +++ b/app/adapters/lms/base.py @@ -9,6 +9,7 @@ from __future__ import annotations from abc import ABC, abstractmethod +from typing import Any from app.models.schemas import LearnerActivity, LearnerProfile @@ -41,7 +42,7 @@ async def update_engagement_log( self, learner_id: str, event_type: str, - metadata: dict, + metadata: dict[str, Any], ) -> None: """ Post an engagement event back to the LMS (e.g. call_attempted). diff --git a/app/adapters/lms/frappe_adapter.py b/app/adapters/lms/frappe_adapter.py index a0e0d5e..66660ca 100644 --- a/app/adapters/lms/frappe_adapter.py +++ b/app/adapters/lms/frappe_adapter.py @@ -11,6 +11,7 @@ """ from __future__ import annotations +from typing import Any import structlog from httpx import AsyncClient @@ -70,7 +71,7 @@ async def update_engagement_log( self, learner_id: str, event_type: str, - metadata: dict, + metadata: dict[str, Any], ) -> None: """ POST /api/method/tap_lms.api.log_engagement diff --git a/app/adapters/lms/mock_adapter.py b/app/adapters/lms/mock_adapter.py index 3a17e1c..34d4f98 100644 --- a/app/adapters/lms/mock_adapter.py +++ b/app/adapters/lms/mock_adapter.py @@ -9,6 +9,7 @@ from __future__ import annotations from datetime import UTC, datetime, timedelta +from typing import Any import structlog @@ -135,7 +136,7 @@ async def update_engagement_log( self, learner_id: str, event_type: str, - metadata: dict, + metadata: dict[str, Any], ) -> None: logger.info( "mock_lms.engagement_log", diff --git a/app/api/v1/webhooks.py b/app/api/v1/webhooks.py index edf2e4e..4601a23 100644 --- a/app/api/v1/webhooks.py +++ b/app/api/v1/webhooks.py @@ -7,6 +7,7 @@ """ from __future__ import annotations +from typing import Any import structlog from fastapi import APIRouter, BackgroundTasks, HTTPException, Request, status @@ -98,6 +99,6 @@ async def _handle_voice_event(payload: WebhookPayload) -> None: logger.debug("voice_event.stub", event_type=payload.event_type) -async def _handle_whatsapp_event(body: dict) -> None: +async def _handle_whatsapp_event(body: dict[str, Any]) -> None: """Stub: process a raw WhatsApp event body.""" logger.debug("whatsapp_event.stub", keys=list(body.keys())) diff --git a/app/services/nudge_engine.py b/app/services/nudge_engine.py index 82e45ca..d58f215 100644 --- a/app/services/nudge_engine.py +++ b/app/services/nudge_engine.py @@ -8,6 +8,7 @@ """ from __future__ import annotations +from typing import Callable, List import structlog @@ -71,7 +72,7 @@ def _apply_rules(self, activity: LearnerActivity) -> NudgeDecision: priority=0, ) - def _rules(self): + def _rules(self) -> List[Callable[[LearnerActivity], NudgeDecision]]: """Return ordered list of rule functions.""" return [ self._rule_high_inactivity, From e42e10d766a33d705dc1cb713c38120202e0c9c3 Mon Sep 17 00:00:00 2001 From: SuryaPratap Date: Wed, 6 May 2026 22:45:08 +0530 Subject: [PATCH 3/4] feat: Implement LMS integration and nudging engine --- app/adapters/lms/frappe_adapter.py | 74 +++++++++++++++++++++++------- app/adapters/lms/mock_adapter.py | 6 +-- app/api/v1/nudge.py | 63 +++++++++++++++++++++++++ app/api/v1/webhooks.py | 1 + app/core/config.py | 4 +- app/main.py | 3 +- app/models/schemas.py | 12 +++++ app/services/nudge_engine.py | 24 ++++++++-- tests/conftest.py | 4 +- tests/test_language_detector.py | 4 +- tests/test_nudge_engine.py | 24 +++++++++- 11 files changed, 184 insertions(+), 35 deletions(-) create mode 100644 app/api/v1/nudge.py diff --git a/app/adapters/lms/frappe_adapter.py b/app/adapters/lms/frappe_adapter.py index 66660ca..5b428cd 100644 --- a/app/adapters/lms/frappe_adapter.py +++ b/app/adapters/lms/frappe_adapter.py @@ -11,12 +11,14 @@ """ from __future__ import annotations + from typing import Any +import httpx import structlog from httpx import AsyncClient -from app.adapters.lms.base import BaseLMSAdapter +from app.adapters.lms.base import BaseLMSAdapter, LearnerNotFoundError from app.core.config import settings from app.models.schemas import LearnerActivity, LearnerProfile @@ -49,23 +51,54 @@ def _client(self) -> AsyncClient: async def get_learner_profile(self, learner_id: str) -> LearnerProfile: """ GET /api/resource/Learner/ - - TODO: implement once real API shape is confirmed. """ - raise NotImplementedError( - "FrappeLMSAdapter.get_learner_profile is not yet implemented. " - "Set TAP_LMS_USE_MOCK=true to use the mock adapter." - ) + try: + response = await self._client.get(f"/api/resource/Learner/{learner_id}") + response.raise_for_status() + data = response.json().get("data", {}) + if not data: + raise LearnerNotFoundError(learner_id) + + return LearnerProfile( + learner_id=learner_id, + name=data.get("name", "Unknown Learner"), + phone_number=data.get("phone_number", ""), + preferred_language=data.get("preferred_language", "en"), + enrolled_courses=data.get("enrolled_courses", []), + last_active_at=data.get("last_active_at"), + completion_percentage=data.get("completion_percentage", 0.0), + days_inactive=data.get("days_inactive", 0), + ) + except httpx.HTTPStatusError as e: + if e.response.status_code == 404: + raise LearnerNotFoundError(learner_id) from e + logger.error("frappe_lms.profile.error", error=str(e)) + raise e async def get_learner_activity(self, learner_id: str) -> LearnerActivity: """ GET /api/method/tap_lms.api.get_learner_activity?learner_id= - - TODO: implement once real API shape is confirmed. """ - raise NotImplementedError( - "FrappeLMSAdapter.get_learner_activity is not yet implemented." - ) + try: + response = await self._client.get( + "/api/method/tap_lms.api.get_learner_activity", params={"learner_id": learner_id} + ) + response.raise_for_status() + data = response.json().get("message", {}) + if not data: + raise LearnerNotFoundError(learner_id) + + return LearnerActivity( + learner_id=learner_id, + courses=data.get("courses", []), + total_completion_percentage=data.get("total_completion_percentage", 0.0), + days_since_last_login=data.get("days_since_last_login", 0), + ) + except httpx.HTTPStatusError as e: + if e.response.status_code == 404: + raise LearnerNotFoundError(learner_id) from e + logger.error("frappe_lms.activity.error", error=str(e)) + raise e async def update_engagement_log( self, @@ -75,9 +108,16 @@ async def update_engagement_log( ) -> None: """ POST /api/method/tap_lms.api.log_engagement - - TODO: implement once real API shape is confirmed. """ - raise NotImplementedError( - "FrappeLMSAdapter.update_engagement_log is not yet implemented." - ) + payload = {"learner_id": learner_id, "event_type": event_type, "metadata": metadata} + try: + response = await self._client.post( + "/api/method/tap_lms.api.log_engagement", json=payload + ) + response.raise_for_status() + logger.info( + "frappe_lms.engagement_logged", learner_id=learner_id, event_type=event_type + ) + except httpx.HTTPStatusError as e: + logger.error("frappe_lms.engagement.error", error=str(e)) + # Fire and forget operation, we don't necessarily raise here unless configured otherwise. diff --git a/app/adapters/lms/mock_adapter.py b/app/adapters/lms/mock_adapter.py index 34d4f98..8b64cc5 100644 --- a/app/adapters/lms/mock_adapter.py +++ b/app/adapters/lms/mock_adapter.py @@ -118,11 +118,7 @@ async def get_learner_activity(self, learner_id: str) -> LearnerActivity: raise LearnerNotFoundError(learner_id) courses = _MOCK_COURSES.get(learner_id, []) - total_pct = ( - sum(c.completion_percentage for c in courses) / len(courses) - if courses - else 0.0 - ) + total_pct = sum(c.completion_percentage for c in courses) / len(courses) if courses else 0.0 profile = _MOCK_LEARNERS[learner_id] logger.debug("mock_lms.get_learner_activity", learner_id=learner_id) return LearnerActivity( diff --git a/app/api/v1/nudge.py b/app/api/v1/nudge.py new file mode 100644 index 0000000..b53f875 --- /dev/null +++ b/app/api/v1/nudge.py @@ -0,0 +1,63 @@ +""" +Nudge API Router. +""" + +from fastapi import APIRouter, Depends, HTTPException + +from app.adapters.lms.base import BaseLMSAdapter, LearnerNotFoundError +from app.adapters.lms.frappe_adapter import FrappeLMSAdapter +from app.adapters.lms.mock_adapter import MockLMSAdapter +from app.core.config import settings +from app.models.schemas import LearnerActivity, NudgeDecision +from app.services.nudge_engine import NudgeEngine + +router = APIRouter() + + +def get_lms_adapter() -> BaseLMSAdapter: + if settings.TAP_LMS_USE_MOCK: + return MockLMSAdapter() + return FrappeLMSAdapter() + + +def get_nudge_engine(lms_adapter: BaseLMSAdapter = Depends(get_lms_adapter)) -> NudgeEngine: + return NudgeEngine(lms_adapter) + + +@router.get( + "/{learner_id}/context", + response_model=LearnerActivity, + summary="Fetch learner activity context", + description="Fetches the learner's LMS activity context.", +) +async def get_learner_context( + learner_id: str, lms_adapter: BaseLMSAdapter = Depends(get_lms_adapter) +) -> LearnerActivity: + try: + activity = await lms_adapter.get_learner_activity(learner_id) + return activity + except LearnerNotFoundError as e: + raise HTTPException(status_code=404, detail="Learner not found") from e + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) from e + + +@router.get( + "/{learner_id}/plan", + response_model=NudgeDecision, + summary="Generate a nudge plan for a learner", + description="Fetches the learner's LMS activity context and evaluates the nudge rules to generate a nudge plan including next_task, urgency, and messages.", +) +async def generate_nudge_plan( + learner_id: str, nudge_engine: NudgeEngine = Depends(get_nudge_engine) +) -> NudgeDecision: + try: + # evaluate catches LearnerNotFoundError and returns should_nudge=False + decision = await nudge_engine.evaluate(learner_id) + if not decision.should_nudge and "not found" in decision.reason.lower(): + raise HTTPException(status_code=404, detail="Learner not found") + return decision + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) from e diff --git a/app/api/v1/webhooks.py b/app/api/v1/webhooks.py index 4601a23..fd894fa 100644 --- a/app/api/v1/webhooks.py +++ b/app/api/v1/webhooks.py @@ -7,6 +7,7 @@ """ from __future__ import annotations + from typing import Any import structlog diff --git a/app/core/config.py b/app/core/config.py index fe8f703..bc23a60 100644 --- a/app/core/config.py +++ b/app/core/config.py @@ -74,8 +74,8 @@ def _parse_cors(cls, value: str | list[str]) -> list[str]: SUPPORTED_LANGUAGES: list[str] = ["hi", "mr", "pa", "en"] # ── Engagement / nudging ─────────────────────────────────────────────────── - NUDGE_INACTIVITY_DAYS: int = 3 # days of LMS inactivity before nudge - NUDGE_MAX_PER_WEEK: int = 2 # max calls per learner per week + NUDGE_INACTIVITY_DAYS: int = 3 # days of LMS inactivity before nudge + NUDGE_MAX_PER_WEEK: int = 2 # max calls per learner per week # ── Metrics / experiments ────────────────────────────────────────────────── ENABLE_METRICS: bool = True diff --git a/app/main.py b/app/main.py index e5d1ca1..f799a8d 100644 --- a/app/main.py +++ b/app/main.py @@ -13,7 +13,7 @@ from fastapi.middleware.cors import CORSMiddleware from prometheus_fastapi_instrumentator import Instrumentator -from app.api.v1 import health, webhooks +from app.api.v1 import health, nudge, webhooks from app.core.config import settings from app.core.logging import configure_logging @@ -65,6 +65,7 @@ def create_app() -> FastAPI: # ── Routers ──────────────────────────────────────────────────────────────── app.include_router(health.router, prefix="/health", tags=["Health"]) app.include_router(webhooks.router, prefix="/api/v1/webhooks", tags=["Webhooks"]) + app.include_router(nudge.router, prefix="/api/v1/nudge", tags=["Nudge"]) return app diff --git a/app/models/schemas.py b/app/models/schemas.py index 6b8d8bf..6044451 100644 --- a/app/models/schemas.py +++ b/app/models/schemas.py @@ -57,6 +57,14 @@ class ConversationTurn(str, Enum): SYSTEM = "system" +class UrgencyLevel(str, Enum): + """Urgency level of a nudge.""" + + LOW = "low" + MEDIUM = "medium" + HIGH = "high" + + # ── Learner ──────────────────────────────────────────────────────────────────── @@ -173,6 +181,10 @@ class NudgeDecision(BaseModel): nudge_type: NudgeType | None = None reason: str = "" priority: int = Field(default=0, ge=0, le=10) # higher = more urgent + next_task: str | None = None + urgency: UrgencyLevel | None = None + student_message: str | None = None + parent_message: str | None = None # ── API responses ────────────────────────────────────────────────────────────── diff --git a/app/services/nudge_engine.py b/app/services/nudge_engine.py index d58f215..767beb6 100644 --- a/app/services/nudge_engine.py +++ b/app/services/nudge_engine.py @@ -8,13 +8,14 @@ """ from __future__ import annotations -from typing import Callable, List + +from collections.abc import Callable import structlog from app.adapters.lms import BaseLMSAdapter, LearnerNotFoundError from app.core.config import settings -from app.models.schemas import LearnerActivity, NudgeDecision, NudgeType +from app.models.schemas import LearnerActivity, NudgeDecision, NudgeType, UrgencyLevel logger = structlog.get_logger(__name__) @@ -72,7 +73,7 @@ def _apply_rules(self, activity: LearnerActivity) -> NudgeDecision: priority=0, ) - def _rules(self) -> List[Callable[[LearnerActivity], NudgeDecision]]: + def _rules(self) -> list[Callable[[LearnerActivity], NudgeDecision]]: """Return ordered list of rule functions.""" return [ self._rule_high_inactivity, @@ -91,6 +92,10 @@ def _rule_high_inactivity(self, activity: LearnerActivity) -> NudgeDecision: nudge_type=NudgeType.INACTIVITY_REMINDER, reason=f"Inactive for {activity.days_since_last_login} days (high-priority threshold: {threshold})", priority=9, + next_task="Login to the learning portal", + urgency=UrgencyLevel.HIGH, + student_message="It's been a while since you last studied. Let's get back on track!", + parent_message="We noticed your child hasn't logged in recently. Please encourage them to continue learning.", ) return NudgeDecision(learner_id=activity.learner_id, should_nudge=False) @@ -98,12 +103,17 @@ def _rule_pending_assignments(self, activity: LearnerActivity) -> NudgeDecision: """Nudge if any course has ≥ 3 pending assignments.""" overdue_courses = [c for c in activity.courses if c.pending_assignments >= 3] if overdue_courses: + course_names = ", ".join(c.course_name for c in overdue_courses) return NudgeDecision( learner_id=activity.learner_id, should_nudge=True, nudge_type=NudgeType.ASSIGNMENT_DUE, reason=f"{len(overdue_courses)} course(s) with ≥3 pending assignments", priority=8, + next_task=f"Complete pending assignments for: {course_names}", + urgency=UrgencyLevel.HIGH, + student_message="You have some pending assignments waiting for you. Let's finish them up!", + parent_message="Your child has a few pending assignments. A little reminder from you would help.", ) return NudgeDecision(learner_id=activity.learner_id, should_nudge=False) @@ -116,6 +126,10 @@ def _rule_near_completion(self, activity: LearnerActivity) -> NudgeDecision: nudge_type=NudgeType.MILESTONE_CELEBRATION, reason=f"Overall completion at {activity.total_completion_percentage:.0f}%", priority=6, + next_task="Finish the remaining lessons to complete your courses", + urgency=UrgencyLevel.LOW, + student_message="Great job! You are almost there. Keep up the fantastic work!", + parent_message="Your child is doing great and is near completing their courses. Celebrate this progress with them!", ) return NudgeDecision(learner_id=activity.learner_id, should_nudge=False) @@ -128,5 +142,9 @@ def _rule_moderate_inactivity(self, activity: LearnerActivity) -> NudgeDecision: nudge_type=NudgeType.INACTIVITY_REMINDER, reason=f"Inactive for {activity.days_since_last_login} days", priority=5, + next_task="Login and spend 15 minutes learning", + urgency=UrgencyLevel.MEDIUM, + student_message="Just a quick reminder to check out your courses today.", + parent_message="A quick check-in: your child hasn't learned today. A gentle nudge might help.", ) return NudgeDecision(learner_id=activity.learner_id, should_nudge=False) diff --git a/tests/conftest.py b/tests/conftest.py index e53269c..0d50d29 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -17,7 +17,5 @@ def anyio_backend(): @pytest_asyncio.fixture async def client() -> AsyncClient: """Async test client wired directly to the ASGI app (no network calls).""" - async with AsyncClient( - transport=ASGITransport(app=app), base_url="http://testserver" - ) as ac: + async with AsyncClient(transport=ASGITransport(app=app), base_url="http://testserver") as ac: yield ac diff --git a/tests/test_language_detector.py b/tests/test_language_detector.py index 57863b3..97d3a23 100644 --- a/tests/test_language_detector.py +++ b/tests/test_language_detector.py @@ -54,9 +54,7 @@ def test_whitespace_only_returns_fallback(detector: LanguageDetector) -> None: ("en", Language.ENGLISH), ], ) -def test_detect_from_hint( - detector: LanguageDetector, hint: str, expected: Language -) -> None: +def test_detect_from_hint(detector: LanguageDetector, hint: str, expected: Language) -> None: assert detector.detect_from_hint(hint) == expected diff --git a/tests/test_nudge_engine.py b/tests/test_nudge_engine.py index 89cc02e..d73504e 100644 --- a/tests/test_nudge_engine.py +++ b/tests/test_nudge_engine.py @@ -6,7 +6,7 @@ import pytest_asyncio from app.adapters.lms.mock_adapter import MockLMSAdapter -from app.models.schemas import NudgeType +from app.models.schemas import LearnerActivity, NudgeType, UrgencyLevel from app.services.nudge_engine import NudgeEngine @@ -28,6 +28,10 @@ async def test_high_inactivity_triggers_nudge(engine: NudgeEngine) -> None: assert decision.should_nudge is True assert decision.nudge_type == NudgeType.INACTIVITY_REMINDER assert decision.priority >= 7 + assert decision.next_task is not None + assert decision.urgency == UrgencyLevel.HIGH + assert decision.student_message is not None + assert decision.parent_message is not None @pytest.mark.asyncio @@ -45,6 +49,10 @@ async def test_near_completion_milestone(engine: NudgeEngine) -> None: decision = await engine.evaluate("learner_002") assert decision.should_nudge is True assert decision.nudge_type == NudgeType.MILESTONE_CELEBRATION + assert decision.next_task is not None + assert decision.urgency == UrgencyLevel.LOW + assert decision.student_message is not None + assert decision.parent_message is not None @pytest.mark.asyncio @@ -54,6 +62,20 @@ async def test_unknown_learner_no_nudge(engine: NudgeEngine) -> None: assert decision.should_nudge is False assert "not found" in decision.reason.lower() +@pytest.mark.asyncio +async def test_moderate_inactivity_triggers_nudge(engine: NudgeEngine) -> None: + """Mock an activity with 5 days inactive and no pending assignments.""" + activity = LearnerActivity( + learner_id="test_learner", + days_since_last_login=5, + courses=[], + total_completion_percentage=0.0, + ) + decision = engine._rule_moderate_inactivity(activity) + assert decision.should_nudge is True + assert decision.nudge_type == NudgeType.INACTIVITY_REMINDER + assert decision.urgency == UrgencyLevel.MEDIUM + @pytest.mark.asyncio async def test_decision_has_learner_id(engine: NudgeEngine) -> None: From b00134af387fc9de082cc6a2ddc948bc1742129e Mon Sep 17 00:00:00 2001 From: SuryaPratap Date: Sat, 16 May 2026 14:54:15 +0530 Subject: [PATCH 4/4] feat:Giving Project a landing page and impemented unified sync/async memoizatiob with TTL optimization --- README.md | 24 + app/adapters/lms/frappe_adapter.py | 3 + app/adapters/lms/mock_adapter.py | 8 + app/api/v1/dashboard.py | 30 + app/api/v1/health.py | 6 +- app/api/v1/language.py | 41 + app/api/v1/nudge.py | 18 +- app/core/config.py | 4 + app/core/memoize.py | 100 + app/main.py | 44 +- app/models/schemas.py | 112 + app/services/demo_data.py | 171 + app/services/language_detector.py | 5 +- app/services/nudge_engine.py | 64 +- .../scratch/test_memoize.py | 42 + frontend/.gitignore | 41 + frontend/AGENTS.md | 5 + frontend/CLAUDE.md | 1 + frontend/README.md | 36 + frontend/eslint.config.mjs | 18 + frontend/next.config.ts | 16 + frontend/package-lock.json | 7009 +++++++++++++++++ frontend/package.json | 28 + frontend/postcss.config.mjs | 7 + frontend/public/file.svg | 1 + frontend/public/globe.svg | 1 + frontend/public/next.svg | 1 + frontend/public/vercel.svg | 1 + frontend/public/window.svg | 1 + frontend/src/app/(console)/analytics/page.tsx | 121 + frontend/src/app/(console)/campaigns/page.tsx | 118 + frontend/src/app/(console)/dashboard/page.tsx | 157 + frontend/src/app/(console)/layout.tsx | 18 + frontend/src/app/(console)/logs/page.tsx | 147 + frontend/src/app/(console)/settings/page.tsx | 43 + frontend/src/app/(console)/students/page.tsx | 80 + frontend/src/app/(marketing)/impact/page.tsx | 68 + frontend/src/app/(marketing)/layout.tsx | 16 + frontend/src/app/(marketing)/page.tsx | 184 + frontend/src/app/favicon.ico | Bin 0 -> 25931 bytes frontend/src/app/globals.css | 23 + frontend/src/app/layout.tsx | 26 + frontend/src/components/dashboard/Charts.tsx | 97 + frontend/src/components/dashboard/KPICard.tsx | 34 + .../dashboard/ReengagementChart.tsx | 42 + frontend/src/components/layout/Sidebar.tsx | 77 + frontend/src/components/layout/TopNavbar.tsx | 63 + frontend/src/components/marketing/Footer.tsx | 15 + .../src/components/marketing/MarketingNav.tsx | 58 + frontend/tsconfig.json | 34 + scripts/verify_all.py | 123 + tests/test_dashboard.py | 55 + tests/test_voice_script.py | 31 + 53 files changed, 9461 insertions(+), 7 deletions(-) create mode 100644 app/api/v1/dashboard.py create mode 100644 app/api/v1/language.py create mode 100644 app/core/memoize.py create mode 100644 app/services/demo_data.py create mode 100644 appDataDir/brain/548a373d-d585-4619-95b6-cfcb89f8a962/scratch/test_memoize.py create mode 100644 frontend/.gitignore create mode 100644 frontend/AGENTS.md create mode 100644 frontend/CLAUDE.md create mode 100644 frontend/README.md create mode 100644 frontend/eslint.config.mjs create mode 100644 frontend/next.config.ts create mode 100644 frontend/package-lock.json create mode 100644 frontend/package.json create mode 100644 frontend/postcss.config.mjs create mode 100644 frontend/public/file.svg create mode 100644 frontend/public/globe.svg create mode 100644 frontend/public/next.svg create mode 100644 frontend/public/vercel.svg create mode 100644 frontend/public/window.svg create mode 100644 frontend/src/app/(console)/analytics/page.tsx create mode 100644 frontend/src/app/(console)/campaigns/page.tsx create mode 100644 frontend/src/app/(console)/dashboard/page.tsx create mode 100644 frontend/src/app/(console)/layout.tsx create mode 100644 frontend/src/app/(console)/logs/page.tsx create mode 100644 frontend/src/app/(console)/settings/page.tsx create mode 100644 frontend/src/app/(console)/students/page.tsx create mode 100644 frontend/src/app/(marketing)/impact/page.tsx create mode 100644 frontend/src/app/(marketing)/layout.tsx create mode 100644 frontend/src/app/(marketing)/page.tsx create mode 100644 frontend/src/app/favicon.ico create mode 100644 frontend/src/app/globals.css create mode 100644 frontend/src/app/layout.tsx create mode 100644 frontend/src/components/dashboard/Charts.tsx create mode 100644 frontend/src/components/dashboard/KPICard.tsx create mode 100644 frontend/src/components/dashboard/ReengagementChart.tsx create mode 100644 frontend/src/components/layout/Sidebar.tsx create mode 100644 frontend/src/components/layout/TopNavbar.tsx create mode 100644 frontend/src/components/marketing/Footer.tsx create mode 100644 frontend/src/components/marketing/MarketingNav.tsx create mode 100644 frontend/tsconfig.json create mode 100644 scripts/verify_all.py create mode 100644 tests/test_dashboard.py create mode 100644 tests/test_voice_script.py diff --git a/README.md b/README.md index 771a3c0..704d87f 100644 --- a/README.md +++ b/README.md @@ -68,6 +68,30 @@ Or with test coverage: poetry run pytest --cov=app --cov-report=term-missing ``` +## Demo UI (Dhwani) + +The Next.js frontend includes marketing pages and a live console wired to the API: + +```bash +# Terminal 1 — API (restart if an older process is on port 8000) +cd C4GT_2026 +python -m uvicorn app.main:app --reload --port 8000 + +# Terminal 2 — Frontend +cd C4GT_2026/frontend +cp .env.local.example .env.local # NEXT_PUBLIC_API_URL=http://localhost:8000 +npm install && npm run dev +``` + +| Route | Purpose | +|-------|---------| +| `/` | Landing page (Dhwani) | +| `/impact` | Field results & KPIs | +| `/dashboard` | Console — KPIs, live calls, LMS/nudge data from API | +| `/students` | Learners + nudge eligibility from `GET /api/v1/dashboard/learners` | + +Key API endpoints for your video: `GET /health`, `GET /api/v1/nudge/{id}/plan`, `GET /api/v1/nudge/{id}/voice-plan`, `POST /api/v1/language/detect`, `GET /api/v1/dashboard/overview`. + ## Contributing - Ensure code passes `ruff` checks and `mypy` type checking. - Every PR must be independently reviewable and include relevant tests. diff --git a/app/adapters/lms/frappe_adapter.py b/app/adapters/lms/frappe_adapter.py index 5b428cd..fae124a 100644 --- a/app/adapters/lms/frappe_adapter.py +++ b/app/adapters/lms/frappe_adapter.py @@ -20,6 +20,7 @@ from app.adapters.lms.base import BaseLMSAdapter, LearnerNotFoundError from app.core.config import settings +from app.core.memoize import memoize from app.models.schemas import LearnerActivity, LearnerProfile logger = structlog.get_logger(__name__) @@ -48,6 +49,7 @@ def __init__(self) -> None: def _client(self) -> AsyncClient: return AsyncClient(base_url=self._base_url, headers=self._headers, timeout=10.0) + @memoize(ttl=settings.CACHE_TTL, maxsize=settings.CACHE_MAX_SIZE) async def get_learner_profile(self, learner_id: str) -> LearnerProfile: """ GET /api/resource/Learner/ @@ -75,6 +77,7 @@ async def get_learner_profile(self, learner_id: str) -> LearnerProfile: logger.error("frappe_lms.profile.error", error=str(e)) raise e + @memoize(ttl=settings.CACHE_TTL, maxsize=settings.CACHE_MAX_SIZE) async def get_learner_activity(self, learner_id: str) -> LearnerActivity: """ GET /api/method/tap_lms.api.get_learner_activity?learner_id= diff --git a/app/adapters/lms/mock_adapter.py b/app/adapters/lms/mock_adapter.py index 8b64cc5..6fefa57 100644 --- a/app/adapters/lms/mock_adapter.py +++ b/app/adapters/lms/mock_adapter.py @@ -14,6 +14,8 @@ import structlog from app.adapters.lms.base import BaseLMSAdapter, LearnerNotFoundError +from app.core.config import settings +from app.core.memoize import memoize from app.models.schemas import ( CourseProgress, Language, @@ -106,6 +108,11 @@ class MockLMSAdapter(BaseLMSAdapter): """In-memory mock implementation of BaseLMSAdapter.""" + def list_learner_ids(self) -> list[str]: + """Return all seeded learner IDs (demo / dashboard use).""" + return list(_MOCK_LEARNERS.keys()) + + @memoize(ttl=settings.CACHE_TTL, maxsize=settings.CACHE_MAX_SIZE) async def get_learner_profile(self, learner_id: str) -> LearnerProfile: profile = _MOCK_LEARNERS.get(learner_id) if not profile: @@ -113,6 +120,7 @@ async def get_learner_profile(self, learner_id: str) -> LearnerProfile: logger.debug("mock_lms.get_learner_profile", learner_id=learner_id) return profile + @memoize(ttl=settings.CACHE_TTL, maxsize=settings.CACHE_MAX_SIZE) async def get_learner_activity(self, learner_id: str) -> LearnerActivity: if learner_id not in _MOCK_LEARNERS: raise LearnerNotFoundError(learner_id) diff --git a/app/api/v1/dashboard.py b/app/api/v1/dashboard.py new file mode 100644 index 0000000..84f8739 --- /dev/null +++ b/app/api/v1/dashboard.py @@ -0,0 +1,30 @@ +"""Dashboard API — aggregates LMS + nudge data for the console UI.""" + +from __future__ import annotations + +from fastapi import APIRouter + +from app.models.schemas import DashboardOverview, LearnerSummary +from app.services.demo_data import build_dashboard_overview, build_learner_summaries + +router = APIRouter() + + +@router.get( + "/overview", + response_model=DashboardOverview, + summary="Console dashboard overview", +) +async def dashboard_overview() -> DashboardOverview: + """KPIs, live calls, language mix, re-engagement curve, and escalations.""" + return await build_dashboard_overview() + + +@router.get( + "/learners", + response_model=list[LearnerSummary], + summary="All learners with nudge eligibility", +) +async def list_learners() -> list[LearnerSummary]: + """List learners from LMS with nudge engine evaluation (Module 2).""" + return await build_learner_summaries() diff --git a/app/api/v1/health.py b/app/api/v1/health.py index d494c67..f0e152c 100644 --- a/app/api/v1/health.py +++ b/app/api/v1/health.py @@ -15,26 +15,26 @@ @router.get( "", - response_model=HealthResponse, summary="Application health check", description=( "Returns 200 when the application is running. " "Additional dependency checks (DB, LMS) are included in `checks`." ), ) -async def health_check() -> HealthResponse: +async def health_check() -> JSONResponse: """Liveness + basic readiness probe.""" checks: dict[str, str] = { "lms_adapter": "mock" if settings.TAP_LMS_USE_MOCK else "live", "voice_provider": _detect_voice_provider(), } logger.debug("health_check.ok", checks=checks) - return HealthResponse( + payload = HealthResponse( status="ok", version=settings.VERSION, environment=settings.ENVIRONMENT, checks=checks, ) + return JSONResponse(content=payload.model_dump(), media_type="application/json; charset=utf-8") @router.get( diff --git a/app/api/v1/language.py b/app/api/v1/language.py new file mode 100644 index 0000000..be5ac96 --- /dev/null +++ b/app/api/v1/language.py @@ -0,0 +1,41 @@ +"""Language detection API (Module 1).""" + +from __future__ import annotations + +from fastapi import APIRouter + +from app.models.schemas import Language, LanguageDetectRequest, LanguageDetectResponse +from app.services.language_detector import LanguageDetector + +router = APIRouter() +_detector = LanguageDetector() + +_LABELS: dict[Language, str] = { + Language.HINDI: "Hindi (हिंदी)", + Language.MARATHI: "Marathi (मराठी)", + Language.PUNJABI: "Punjabi (ਪੰਜਾਬੀ)", + Language.ENGLISH: "English", +} + + +def _confidence(text: str, detected: Language) -> float: + if not text.strip(): + return 0.0 + if detected == Language.ENGLISH: + return 0.55 + return 0.92 + + +@router.post( + "/detect", + response_model=LanguageDetectResponse, + summary="Detect language from utterance text", +) +async def detect_language(body: LanguageDetectRequest) -> LanguageDetectResponse: + """Heuristic STT-transcript language routing for hi / mr / pa / en.""" + detected = _detector.detect(body.text, fallback=body.fallback) + return LanguageDetectResponse( + language=detected, + language_label=_LABELS[detected], + confidence=_confidence(body.text, detected), + ) diff --git a/app/api/v1/nudge.py b/app/api/v1/nudge.py index b53f875..b2f24fb 100644 --- a/app/api/v1/nudge.py +++ b/app/api/v1/nudge.py @@ -8,7 +8,7 @@ from app.adapters.lms.frappe_adapter import FrappeLMSAdapter from app.adapters.lms.mock_adapter import MockLMSAdapter from app.core.config import settings -from app.models.schemas import LearnerActivity, NudgeDecision +from app.models.schemas import LearnerActivity, NudgeDecision, VoiceNudgePlan from app.services.nudge_engine import NudgeEngine router = APIRouter() @@ -61,3 +61,19 @@ async def generate_nudge_plan( raise except Exception as e: raise HTTPException(status_code=500, detail=str(e)) from e + + +@router.get( + "/{learner_id}/voice-plan", + response_model=VoiceNudgePlan, + summary="LMS context + multilingual voice script", +) +async def get_voice_nudge_plan( + learner_id: str, nudge_engine: NudgeEngine = Depends(get_nudge_engine) +) -> VoiceNudgePlan: + try: + return await nudge_engine.build_voice_plan(learner_id) + except LearnerNotFoundError as e: + raise HTTPException(status_code=404, detail="Learner not found") from e + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) from e diff --git a/app/core/config.py b/app/core/config.py index bc23a60..e8fef3c 100644 --- a/app/core/config.py +++ b/app/core/config.py @@ -80,6 +80,10 @@ def _parse_cors(cls, value: str | list[str]) -> list[str]: # ── Metrics / experiments ────────────────────────────────────────────────── ENABLE_METRICS: bool = True METRICS_EXPORT_INTERVAL: int = 60 # seconds + + # ── Caching ──────────────────────────────────────────────────────────────── + CACHE_TTL: int = 300 # 5 minutes default + CACHE_MAX_SIZE: int = 1024 # ── Database (optional — for experiment logs) ────────────────────────────── DATABASE_URL: str = "sqlite+aiosqlite:///./tap_agent.db" diff --git a/app/core/memoize.py b/app/core/memoize.py new file mode 100644 index 0000000..0ce6ffd --- /dev/null +++ b/app/core/memoize.py @@ -0,0 +1,100 @@ +""" +Memoization utilities for sync and async functions. + +Provides a unified @memoize decorator that handles both standard +and awaitable functions with optional TTL (Time To Live). +""" + +from __future__ import annotations + +import asyncio +import functools +import time +from collections.abc import Callable +from typing import Any, ParamSpec, TypeVar + +P = ParamSpec("P") +R = TypeVar("R") + + +def memoize( + ttl: int | None = None, + maxsize: int = 128, +) -> Callable[[Callable[P, R]], Callable[P, R]]: + """ + Unified memoization decorator for sync and async functions. + + Args: + ttl: Time to live in seconds. If None, cache never expires. + maxsize: Maximum number of entries in the cache. + """ + + def decorator(func: Callable[P, R]) -> Callable[P, R]: + cache: dict[tuple[Any, ...], tuple[Any, float]] = {} + + def _get_key(*args: Any, **kwargs: Any) -> tuple[Any, ...]: + # If the first arg looks like 'self' or 'cls', we might want to skip it + # or handle it specially. For simplicity in this project, we'll keep it + # but ensure we only use hashable parts. + filtered_args = [] + for arg in args: + # Basic check for hashability; if not hashable, use its id or repr + try: + hash(arg) + filtered_args.append(arg) + except TypeError: + filtered_args.append(id(arg)) + + key = tuple(filtered_args) + if kwargs: + key += tuple(sorted(kwargs.items())) + return key + + if asyncio.iscoroutinefunction(func): + + @functools.wraps(func) + async def async_wrapper(*args: P.args, **kwargs: P.kwargs) -> R: + key = _get_key(*args, **kwargs) + now = time.monotonic() + + if key in cache: + val, expiry = cache[key] + if ttl is None or now < expiry: + return val + del cache[key] + + result = await func(*args, **kwargs) + + if len(cache) >= maxsize: + # Simple FIFO-ish eviction + cache.pop(next(iter(cache))) + + cache[key] = (result, now + (ttl or 0)) + return result + + return async_wrapper # type: ignore + + else: + + @functools.wraps(func) + def sync_wrapper(*args: P.args, **kwargs: P.kwargs) -> R: + key = _get_key(*args, **kwargs) + now = time.monotonic() + + if key in cache: + val, expiry = cache[key] + if ttl is None or now < expiry: + return val + del cache[key] + + result = func(*args, **kwargs) + + if len(cache) >= maxsize: + cache.pop(next(iter(cache))) + + cache[key] = (result, now + (ttl or 0)) + return result + + return sync_wrapper + + return decorator diff --git a/app/main.py b/app/main.py index f799a8d..a438131 100644 --- a/app/main.py +++ b/app/main.py @@ -11,9 +11,11 @@ import structlog from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import HTMLResponse, JSONResponse from prometheus_fastapi_instrumentator import Instrumentator -from app.api.v1 import health, nudge, webhooks +from app.api.v1 import dashboard, health, language, nudge, webhooks +from app.models.schemas import HealthResponse from app.core.config import settings from app.core.logging import configure_logging @@ -62,10 +64,50 @@ def create_app() -> FastAPI: excluded_handlers=["/health", "/metrics"], ).instrument(app).expose(app, endpoint="/metrics", include_in_schema=False) + @app.get("/", response_class=HTMLResponse, include_in_schema=False) + async def root() -> str: + """Browser-friendly landing — JSON at /health is easy to miss in some viewers.""" + return """ + + + + Dhwani — TAP Voice Agent API + + + +

Dhwani API is running

+

If you see this page, the backend is up.

+ +

Live health check:

+
Loading…
+ + +""" + # ── Routers ──────────────────────────────────────────────────────────────── app.include_router(health.router, prefix="/health", tags=["Health"]) app.include_router(webhooks.router, prefix="/api/v1/webhooks", tags=["Webhooks"]) app.include_router(nudge.router, prefix="/api/v1/nudge", tags=["Nudge"]) + app.include_router(dashboard.router, prefix="/api/v1/dashboard", tags=["Dashboard"]) + app.include_router(language.router, prefix="/api/v1/language", tags=["Language"]) return app diff --git a/app/models/schemas.py b/app/models/schemas.py index 6044451..1f97cde 100644 --- a/app/models/schemas.py +++ b/app/models/schemas.py @@ -205,3 +205,115 @@ class ErrorResponse(BaseModel): error: str detail: str | None = None request_id: str | None = None + + +# ── Multilingual voice scripts ───────────────────────────────────────────────── + + +class MultilingualScript(BaseModel): + """Voice call script in each supported language.""" + + hi: str + mr: str + pa: str + en: str = "" + + +class VoiceNudgePlan(BaseModel): + """Nudge decision enriched with LMS context and multilingual voice script.""" + + decision: NudgeDecision + activity: LearnerActivity + profile_name: str + preferred_language: Language + voice_script: MultilingualScript + + +class LanguageDetectRequest(BaseModel): + """Request body for language detection.""" + + text: str + fallback: Language = Language.ENGLISH + + +class LanguageDetectResponse(BaseModel): + """Language detection result.""" + + language: Language + language_label: str + confidence: float = Field(ge=0.0, le=1.0) + + +# ── Dashboard ────────────────────────────────────────────────────────────────── + + +class DashboardKPIs(BaseModel): + """Top-level dashboard metrics.""" + + calls_today: int + calls_today_delta: str + pickup_rate: float + pickup_rate_delta: str + returned_to_learning: int + returned_delta: str + + +class LiveCallRow(BaseModel): + """A row in the live-calls table.""" + + learner_id: str + student_name: str + module: str + language: Language + language_label: str + duration: str + status: CallStatus + + +class LanguageShare(BaseModel): + """Language distribution for today's calls.""" + + language: Language + label: str + percentage: float + + +class ReengagementPoint(BaseModel): + """Single point on the re-engagement curve.""" + + date: str + count: int + + +class EscalationRow(BaseModel): + """Pending escalation requiring human follow-up.""" + + learner_id: str + student_name: str + grade: str + reason: str + + +class DashboardOverview(BaseModel): + """Aggregated dashboard payload for the console UI.""" + + greeting_date: str + kpis: DashboardKPIs + live_calls: list[LiveCallRow] + language_shares: list[LanguageShare] + reengagement_curve: list[ReengagementPoint] + escalations: list[EscalationRow] + lms_mode: str + + +class LearnerSummary(BaseModel): + """Learner row for students list and campaign views.""" + + learner_id: str + name: str + preferred_language: Language + completion_percentage: float + days_inactive: int + should_nudge: bool + nudge_type: NudgeType | None = None + nudge_reason: str = "" diff --git a/app/services/demo_data.py b/app/services/demo_data.py new file mode 100644 index 0000000..88e4c6e --- /dev/null +++ b/app/services/demo_data.py @@ -0,0 +1,171 @@ +""" +Demo dashboard data built from mock LMS learners and the nudge engine. + +Powers the console UI when running locally without production telephony. +""" + +from __future__ import annotations + +from datetime import UTC, datetime, timedelta + +from app.adapters.lms import get_lms_adapter +from app.adapters.lms.mock_adapter import MockLMSAdapter +from app.core.config import settings +from app.models.schemas import ( + CallStatus, + DashboardKPIs, + DashboardOverview, + EscalationRow, + Language, + LanguageShare, + LearnerSummary, + LiveCallRow, + ReengagementPoint, +) +from app.services.nudge_engine import NudgeEngine + +_LANGUAGE_LABELS: dict[Language, str] = { + Language.HINDI: "हिंदी", + Language.MARATHI: "मराठी", + Language.PUNJABI: "ਪੰਜਾਬੀ", + Language.ENGLISH: "English", +} + +_DISPLAY: dict[str, dict[str, str]] = { + "learner_001": { + "short_name": "Priya S.", + "module": "ZP Pune - Digital Literacy M2", + "grade": "Class 7", + }, + "learner_002": { + "short_name": "Rajveer S.", + "module": "ZP Pune - Spoken English M3", + "grade": "Class 9", + }, + "learner_003": { + "short_name": "Aanya P.", + "module": "ZP Pune - Spoken English M3", + "grade": "Class 8", + }, +} + +_ESCALATIONS: list[EscalationRow] = [ + EscalationRow( + learner_id="learner_003", + student_name="Rohan", + grade="Class 8", + reason="parent requested human counsellor", + ), + EscalationRow( + learner_id="learner_001", + student_name="Simran", + grade="Class 6", + reason="repeated call drops, low signal", + ), + EscalationRow( + learner_id="learner_002", + student_name="Vikas", + grade="Class 9", + reason="exam stress flagged by sentiment model", + ), +] + + +def _learner_ids() -> list[str]: + lms = get_lms_adapter() + if isinstance(lms, MockLMSAdapter): + return lms.list_learner_ids() + return ["learner_001", "learner_002", "learner_003"] + + +async def build_learner_summaries() -> list[LearnerSummary]: + lms = get_lms_adapter() + engine = NudgeEngine(lms) + summaries: list[LearnerSummary] = [] + + for learner_id in _learner_ids(): + profile = await lms.get_learner_profile(learner_id) + decision = await engine.evaluate(learner_id) + summaries.append( + LearnerSummary( + learner_id=learner_id, + name=profile.name, + preferred_language=profile.preferred_language, + completion_percentage=profile.completion_percentage, + days_inactive=profile.days_inactive, + should_nudge=decision.should_nudge, + nudge_type=decision.nudge_type, + nudge_reason=decision.reason, + ) + ) + return summaries + + +async def build_dashboard_overview() -> DashboardOverview: + lms = get_lms_adapter() + engine = NudgeEngine(lms) + summaries = await build_learner_summaries() + nudge_count = sum(1 for s in summaries if s.should_nudge) + + live_calls: list[LiveCallRow] = [] + lang_counts: dict[Language, int] = {lang: 0 for lang in Language if lang != Language.ENGLISH} + + durations = ["2:14", "1:48", "3:02"] + for idx, learner_id in enumerate(_learner_ids()): + profile = await lms.get_learner_profile(learner_id) + display = _DISPLAY.get(learner_id, {}) + lang = profile.preferred_language + if lang in lang_counts: + lang_counts[lang] += 1 + live_calls.append( + LiveCallRow( + learner_id=learner_id, + student_name=display.get("short_name", profile.name), + module=display.get("module", "TAP Learning Module"), + language=lang, + language_label=_LANGUAGE_LABELS.get(lang, lang.value), + duration=durations[idx % len(durations)], + status=CallStatus.IN_PROGRESS if idx == 0 else CallStatus.COMPLETED, + ) + ) + + total_lang = sum(lang_counts.values()) or 1 + language_shares = [ + LanguageShare( + language=lang, + label=_LANGUAGE_LABELS[lang], + percentage=round((count / total_lang) * 100, 1), + ) + for lang, count in lang_counts.items() + if count > 0 + ] + language_shares.sort(key=lambda x: x.percentage, reverse=True) + + today = datetime.now(UTC) + curve: list[ReengagementPoint] = [] + base = 620 + for day_offset in range(14): + point_date = today - timedelta(days=13 - day_offset) + curve.append( + ReengagementPoint( + date=point_date.strftime("%b %d"), + count=base + day_offset * 28 + (day_offset % 3) * 12, + ) + ) + + return DashboardOverview( + greeting_date=today.strftime("%A, %d %B"), + kpis=DashboardKPIs( + calls_today=3184, + calls_today_delta="+12% vs last week", + pickup_rate=74.2, + pickup_rate_delta="+3.1pp vs last week", + returned_to_learning=1022, + returned_delta="+38% vs last week", + ), + live_calls=live_calls, + language_shares=language_shares, + reengagement_curve=curve, + escalations=_ESCALATIONS, + lms_mode="mock" if settings.TAP_LMS_USE_MOCK else "frappe", + ) diff --git a/app/services/language_detector.py b/app/services/language_detector.py index aac1d6e..0bdae93 100644 --- a/app/services/language_detector.py +++ b/app/services/language_detector.py @@ -11,7 +11,7 @@ import re import structlog - +from app.core.memoize import memoize from app.models.schemas import Language logger = structlog.get_logger(__name__) @@ -39,6 +39,9 @@ class LanguageDetector: Language.ENGLISH (fallback). """ + """ + + @memoize(ttl=600, maxsize=512) def detect(self, text: str, fallback: Language = Language.ENGLISH) -> Language: """ Detect the language of *text*. diff --git a/app/services/nudge_engine.py b/app/services/nudge_engine.py index 767beb6..ac4c767 100644 --- a/app/services/nudge_engine.py +++ b/app/services/nudge_engine.py @@ -15,7 +15,16 @@ from app.adapters.lms import BaseLMSAdapter, LearnerNotFoundError from app.core.config import settings -from app.models.schemas import LearnerActivity, NudgeDecision, NudgeType, UrgencyLevel +from app.core.memoize import memoize +from app.models.schemas import ( + Language, + LearnerActivity, + MultilingualScript, + NudgeDecision, + NudgeType, + UrgencyLevel, + VoiceNudgePlan, +) logger = structlog.get_logger(__name__) @@ -31,6 +40,7 @@ class NudgeEngine: def __init__(self, lms_adapter: BaseLMSAdapter) -> None: self._lms = lms_adapter + @memoize(ttl=settings.CACHE_TTL, maxsize=settings.CACHE_MAX_SIZE) async def evaluate(self, learner_id: str) -> NudgeDecision: """ Evaluate nudge eligibility for a single learner. @@ -57,6 +67,58 @@ async def evaluate(self, learner_id: str) -> NudgeDecision: ) return decision + @memoize(ttl=settings.CACHE_TTL, maxsize=settings.CACHE_MAX_SIZE) + async def build_voice_plan(self, learner_id: str) -> VoiceNudgePlan: + """Evaluate nudge rules and produce a multilingual voice script.""" + profile = await self._lms.get_learner_profile(learner_id) + activity = await self._lms.get_learner_activity(learner_id) + decision = await self.evaluate(learner_id) + script = self.build_voice_script(activity, decision, profile.preferred_language) + return VoiceNudgePlan( + decision=decision, + activity=activity, + profile_name=profile.name, + preferred_language=profile.preferred_language, + voice_script=script, + ) + + def build_voice_script( + self, + activity: LearnerActivity, + decision: NudgeDecision, + language: Language, + ) -> MultilingualScript: + """Generate personalised call scripts in Hindi, Marathi, and Punjabi.""" + task = decision.next_task or "your pending learning tasks" + completion = int(activity.total_completion_percentage) + inactive = activity.days_since_last_login + + hi = ( + f"नमस्ते! मैं Dhwani हूँ, TAP की ओर से। आपने {inactive} दिनों से लॉगिन नहीं किया। " + f"आपका कोर्स {completion}% पूरा है। कृपया आज {task} पर काम करें।" + ) + mr = ( + f"नमस्कार! मी Dhwani, TAP कडून बोलतेय. तुम्ही {inactive} दिवसांपासून लॉगिन केलेले नाही. " + f"तुमचा कोर्स {completion}% पूर्ण आहे. कृपया आज {task} पूर्ण करा." + ) + pa = ( + f"ਸਤ ਸ੍ਰੀ ਅਕਾਲ! ਮੈਂ Dhwani, TAP ਵਲੋਂ ਬੋਲ ਰਹੀ ਹਾਂ। ਤੁਸੀਂ {inactive} ਦਿਨਾਂ ਤੋਂ ਲੌਗਇਨ ਨਹੀਂ ਕੀਤਾ। " + f"ਤੁਹਾਡਾ ਕੋਰਸ {completion}% ਪੂਰਾ ਹੈ। ਕਿਰਪਾ ਕਰਕੇ ਅੱਜ {task} 'ਤੇ ਕੰਮ ਕਰੋ।" + ) + en = ( + f"Hello! This is Dhwani from TAP. You have not logged in for {inactive} days. " + f"Your course is {completion}% complete. Please work on {task} today." + ) + + if decision.nudge_type == NudgeType.MILESTONE_CELEBRATION: + hi = f"बधाई हो! आपने {completion}% पूरा कर लिया है। बस थोड़ा और — {task}!" + mr = f"अभिनंदन! तुम्ही {completion}% पूर्ण केले आहे. थोडं अजून — {task}!" + pa = f"ਵਧਾਈਆਂ! ਤੁਸੀਂ {completion}% ਪੂਰਾ ਕਰ ਲਿਆ ਹੈ। ਹੋਰ ਥੋੜਾ — {task}!" + en = f"Congratulations! You are at {completion}% completion. Almost there — {task}!" + + _ = language # reserved for future primary-language emphasis + return MultilingualScript(hi=hi, mr=mr, pa=pa, en=en) + # ── Rule evaluation ──────────────────────────────────────────────────────── def _apply_rules(self, activity: LearnerActivity) -> NudgeDecision: diff --git a/appDataDir/brain/548a373d-d585-4619-95b6-cfcb89f8a962/scratch/test_memoize.py b/appDataDir/brain/548a373d-d585-4619-95b6-cfcb89f8a962/scratch/test_memoize.py new file mode 100644 index 0000000..d4d513e --- /dev/null +++ b/appDataDir/brain/548a373d-d585-4619-95b6-cfcb89f8a962/scratch/test_memoize.py @@ -0,0 +1,42 @@ +import asyncio +import time +from app.core.memoize import memoize + +@memoize(ttl=1) +async def slow_func(x): + await asyncio.sleep(0.5) + return x * 2 + +async def main(): + print("Testing async memoization...") + start = time.time() + res1 = await slow_func(10) + print(f"Call 1: {res1} (Took {time.time() - start:.2f}s)") + + start = time.time() + res2 = await slow_func(10) + print(f"Call 2: {res2} (Took {time.time() - start:.2f}s - should be fast)") + + print("Waiting for TTL to expire...") + await asyncio.sleep(1.1) + + start = time.time() + res3 = await slow_func(10) + print(f"Call 3: {res3} (Took {time.time() - start:.2f}s - should be slow again)") + + @memoize(ttl=5) + def sync_slow_func(x): + time.sleep(0.5) + return x * 3 + + print("\nTesting sync memoization...") + start = time.time() + res4 = sync_slow_func(20) + print(f"Sync Call 1: {res4} (Took {time.time() - start:.2f}s)") + + start = time.time() + res5 = sync_slow_func(20) + print(f"Sync Call 2: {res5} (Took {time.time() - start:.2f}s - should be fast)") + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/frontend/.gitignore b/frontend/.gitignore new file mode 100644 index 0000000..5ef6a52 --- /dev/null +++ b/frontend/.gitignore @@ -0,0 +1,41 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.* +.yarn/* +!.yarn/patches +!.yarn/plugins +!.yarn/releases +!.yarn/versions + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* + +# env files (can opt-in for committing if needed) +.env* + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/frontend/AGENTS.md b/frontend/AGENTS.md new file mode 100644 index 0000000..8bd0e39 --- /dev/null +++ b/frontend/AGENTS.md @@ -0,0 +1,5 @@ + +# This is NOT the Next.js you know + +This version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in `node_modules/next/dist/docs/` before writing any code. Heed deprecation notices. + diff --git a/frontend/CLAUDE.md b/frontend/CLAUDE.md new file mode 100644 index 0000000..43c994c --- /dev/null +++ b/frontend/CLAUDE.md @@ -0,0 +1 @@ +@AGENTS.md diff --git a/frontend/README.md b/frontend/README.md new file mode 100644 index 0000000..e215bc4 --- /dev/null +++ b/frontend/README.md @@ -0,0 +1,36 @@ +This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app). + +## Getting Started + +First, run the development server: + +```bash +npm run dev +# or +yarn dev +# or +pnpm dev +# or +bun dev +``` + +Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. + +You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file. + +This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel. + +## Learn More + +To learn more about Next.js, take a look at the following resources: + +- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. +- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. + +You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome! + +## Deploy on Vercel + +The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. + +Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details. diff --git a/frontend/eslint.config.mjs b/frontend/eslint.config.mjs new file mode 100644 index 0000000..05e726d --- /dev/null +++ b/frontend/eslint.config.mjs @@ -0,0 +1,18 @@ +import { defineConfig, globalIgnores } from "eslint/config"; +import nextVitals from "eslint-config-next/core-web-vitals"; +import nextTs from "eslint-config-next/typescript"; + +const eslintConfig = defineConfig([ + ...nextVitals, + ...nextTs, + // Override default ignores of eslint-config-next. + globalIgnores([ + // Default ignores of eslint-config-next: + ".next/**", + "out/**", + "build/**", + "next-env.d.ts", + ]), +]); + +export default eslintConfig; diff --git a/frontend/next.config.ts b/frontend/next.config.ts new file mode 100644 index 0000000..cfe1fb3 --- /dev/null +++ b/frontend/next.config.ts @@ -0,0 +1,16 @@ +import type { NextConfig } from "next"; + +const API_URL = process.env.NEXT_PUBLIC_API_URL ?? "http://localhost:8000"; + +const nextConfig: NextConfig = { + async rewrites() { + return [ + { + source: "/backend-api/:path*", + destination: `${API_URL}/:path*`, + }, + ]; + }, +}; + +export default nextConfig; diff --git a/frontend/package-lock.json b/frontend/package-lock.json new file mode 100644 index 0000000..59136e0 --- /dev/null +++ b/frontend/package-lock.json @@ -0,0 +1,7009 @@ +{ + "name": "frontend", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "frontend", + "version": "0.1.0", + "dependencies": { + "lucide-react": "^1.14.0", + "next": "16.2.6", + "react": "19.2.4", + "react-dom": "19.2.4", + "recharts": "^3.8.1" + }, + "devDependencies": { + "@tailwindcss/postcss": "^4", + "@types/node": "^20", + "@types/react": "^19", + "@types/react-dom": "^19", + "eslint": "^9", + "eslint-config-next": "16.2.6", + "tailwindcss": "^4", + "typescript": "^5" + } + }, + "node_modules/@alloc/quick-lru": { + "version": "5.2.0", + 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"https://registry.npmjs.org/zod-validation-error/-/zod-validation-error-4.0.2.tgz", + "integrity": "sha512-Q6/nZLe6jxuU80qb/4uJ4t5v2VEZ44lzQjPDhYJNztRQ4wyWc6VF3D3Kb/fAuPetZQnhS3hnajCf9CsWesghLQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=18.0.0" + }, + "peerDependencies": { + "zod": "^3.25.0 || ^4.0.0" + } + } + } +} diff --git a/frontend/package.json b/frontend/package.json new file mode 100644 index 0000000..5f46527 --- /dev/null +++ b/frontend/package.json @@ -0,0 +1,28 @@ +{ + "name": "frontend", + "version": "0.1.0", + "private": true, + "scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start", + "lint": "eslint" + }, + "dependencies": { + "lucide-react": "^1.14.0", + "next": "16.2.6", + "react": "19.2.4", + "react-dom": "19.2.4", + "recharts": "^3.8.1" + }, + "devDependencies": { + "@tailwindcss/postcss": "^4", + "@types/node": "^20", + "@types/react": "^19", + "@types/react-dom": "^19", + "eslint": "^9", + "eslint-config-next": "16.2.6", + "tailwindcss": "^4", + "typescript": "^5" + } +} diff --git a/frontend/postcss.config.mjs b/frontend/postcss.config.mjs new file mode 100644 index 0000000..61e3684 --- /dev/null +++ b/frontend/postcss.config.mjs @@ -0,0 +1,7 @@ +const config = { + plugins: { + "@tailwindcss/postcss": {}, + }, +}; + +export default config; diff --git a/frontend/public/file.svg b/frontend/public/file.svg new file mode 100644 index 0000000..004145c --- /dev/null +++ b/frontend/public/file.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/public/globe.svg b/frontend/public/globe.svg new file mode 100644 index 0000000..567f17b --- /dev/null +++ b/frontend/public/globe.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/public/next.svg b/frontend/public/next.svg new file mode 100644 index 0000000..5174b28 --- /dev/null +++ b/frontend/public/next.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/public/vercel.svg b/frontend/public/vercel.svg new file mode 100644 index 0000000..7705396 --- /dev/null +++ b/frontend/public/vercel.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/public/window.svg b/frontend/public/window.svg new file mode 100644 index 0000000..b2b2a44 --- /dev/null +++ b/frontend/public/window.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/src/app/(console)/analytics/page.tsx b/frontend/src/app/(console)/analytics/page.tsx new file mode 100644 index 0000000..5d009b9 --- /dev/null +++ b/frontend/src/app/(console)/analytics/page.tsx @@ -0,0 +1,121 @@ +"use client"; + +import { BarChart, Bar, XAxis, YAxis, CartesianGrid, Tooltip as RechartsTooltip, ResponsiveContainer, PieChart, Pie, Cell } from "recharts"; +import { Download, Filter } from "lucide-react"; + +const langData = [ + { name: 'Hindi', value: 4500, color: '#3b82f6' }, + { name: 'English', value: 3200, color: '#10b981' }, + { name: 'Marathi', value: 2800, color: '#f59e0b' }, + { name: 'Telugu', value: 1980, color: '#8b5cf6' }, +]; + +const abData = [ + { name: 'Variant A (Formal)', conversion: 42, color: '#94a3b8' }, + { name: 'Variant B (Casual)', conversion: 58, color: '#3b82f6' }, +]; + +export default function AnalyticsPage() { + return ( +
+
+
+

+ Analytics & Insights +

+

+ Deep dive into language distribution, A/B testing results, and system performance. +

+
+
+ + +
+
+ +
+ {/* Language Distribution */} +
+

Language Distribution

+
+
+ + + + {langData.map((entry, index) => ( + + ))} + + + + +
+
+ {langData.map((item, i) => ( +
+
+
+ {item.name} +
+ {item.value.toLocaleString()} +
+ ))} +
+
+
+ + {/* A/B Test Results */} +
+

A/B Test: Call Introduction Script

+
+ + + + + + + + {abData.map((entry, index) => ( + + ))} + + + +
+

+ Insight: The casual introductory script (Variant B) resulted in a 16% higher engagement rate than the formal script. +

+
+
+ +
+
+

Average Call Duration

+

01:42 minutes

+
+
+

Parent Escalation Rate

+

8.4% ↓ 2.1%

+
+
+

Retry Success Rate

+

42.8% ↑ 5.4%

+
+
+
+ ); +} diff --git a/frontend/src/app/(console)/campaigns/page.tsx b/frontend/src/app/(console)/campaigns/page.tsx new file mode 100644 index 0000000..d7c439c --- /dev/null +++ b/frontend/src/app/(console)/campaigns/page.tsx @@ -0,0 +1,118 @@ +import { Plus, Calendar, Settings, Play, Users } from "lucide-react"; + +export default function CampaignsPage() { + return ( +
+
+
+

+ Campaign & Nudge Management +

+

+ Create and schedule automated voice campaigns with targeted learner groups and retry rules. +

+
+
+ +
+
+ +
+ {/* Campaign List */} +
+ {[ + { name: "Module 3 Overdue Reminder", target: "Grade 10 Inactive", scheduled: "Daily at 4:00 PM", status: "Active", progress: 68 }, + { name: "Low Attendance Nudge", target: "All Grades < 75%", scheduled: "Fridays at 5:00 PM", status: "Active", progress: 45 }, + { name: "Welcome Call", target: "New Enrollments", scheduled: "On Enrollment", status: "Paused", progress: 0 }, + ].map((campaign, i) => ( +
+
+
+

{campaign.name}

+
+ {campaign.target} + {campaign.scheduled} +
+
+ + {campaign.status} + +
+
+
+ Campaign Progress + {campaign.progress}% +
+
+
+
+
+
+ ))} +
+ + {/* Campaign Settings Form (Static Preview) */} +
+
+

+ Quick Config +

+ +
+
+ + +
+ +
+ + +
+ +
+ +
+
+ + Retry on Voicemail (max 3) +
+
+ + Wait 24h between retries +
+
+ + Escalate to parent after 3 fails +
+
+
+ +
+ +
+
+
+
+
+
+ ); +} diff --git a/frontend/src/app/(console)/dashboard/page.tsx b/frontend/src/app/(console)/dashboard/page.tsx new file mode 100644 index 0000000..4963d52 --- /dev/null +++ b/frontend/src/app/(console)/dashboard/page.tsx @@ -0,0 +1,157 @@ +import Link from "next/link"; +import { Phone, TrendingUp, ArrowUpRight, Wand2, AlertTriangle } from "lucide-react"; +import { getDashboardOverview } from "@/lib/api"; +import { KPICard } from "@/components/dashboard/KPICard"; +import { ReengagementChart } from "@/components/dashboard/ReengagementChart"; + +export const dynamic = "force-dynamic"; + +export default async function ConsoleDashboardPage() { + let data; + let error: string | null = null; + + try { + data = await getDashboardOverview(); + } catch (e) { + error = e instanceof Error ? e.message : "Backend unavailable"; + data = null; + } + + if (error || !data) { + return ( +
+

Cannot reach TAP Voice Agent API

+

{error}

+

+ Start the backend:{" "} + uvicorn app.main:app --reload --port 8000 +

+
+ ); + } + + const { kpis, live_calls, language_shares, reengagement_curve, escalations, lms_mode } = + data; + + return ( +
+
+
+

{data.greeting_date}

+

+ Good morning, Aarti +

+

+ LMS: {lms_mode} · Module 1 & 2 + active +

+
+ + + New campaign + +
+ +
+ + + +
+ +
+
+

Live calls

+
    + {live_calls.map((call) => ( +
  • + {call.student_name} + {call.module} + {call.language_label} + {call.duration} +
  • + ))} +
+
+ +
+

Languages today

+
+ {language_shares.map((lang) => ( +
+
+ {lang.label} + {lang.percentage}% +
+
+
+
+
+ ))} +
+

+ + Auto-detect on for all calls +

+
+
+ +
+
+

+ Re-engagement curve — 14 days +

+ +
+ +
+
+

Escalations

+ + {escalations.length} pending + +
+
    + {escalations.map((e) => ( +
  • + +
    +

    + {e.student_name}, {e.grade} +

    +

    — {e.reason}

    +
    +
  • + ))} +
+
+
+
+ ); +} diff --git a/frontend/src/app/(console)/layout.tsx b/frontend/src/app/(console)/layout.tsx new file mode 100644 index 0000000..aa08185 --- /dev/null +++ b/frontend/src/app/(console)/layout.tsx @@ -0,0 +1,18 @@ +import { Sidebar } from "@/components/layout/Sidebar"; +import { TopNavbar } from "@/components/layout/TopNavbar"; + +export default function ConsoleLayout({ + children, +}: { + children: React.ReactNode; +}) { + return ( +
+ +
+ +
{children}
+
+
+ ); +} diff --git a/frontend/src/app/(console)/logs/page.tsx b/frontend/src/app/(console)/logs/page.tsx new file mode 100644 index 0000000..5d31068 --- /dev/null +++ b/frontend/src/app/(console)/logs/page.tsx @@ -0,0 +1,147 @@ +import { Clock, Globe2, FileAudio, PlayCircle, Bot, User } from "lucide-react"; + +export default function LogsPage() { + return ( +
+
+

+ Conversation Logs +

+

+ Review detailed transcripts, AI summaries, and audio recordings of student engagements. +

+
+ +
+ {/* Left Column - List of Logs */} +
+
+

Recent Calls

+
+
+ {[ + { id: "LOG-1029", name: "Aarav Patel", date: "Today, 10:45 AM", duration: "02:34", status: "Completed" }, + { id: "LOG-1028", name: "Diya Sharma", date: "Today, 09:15 AM", duration: "00:45", status: "Voicemail" }, + { id: "LOG-1027", name: "Vihaan Singh", date: "Yesterday, 04:30 PM", duration: "05:12", status: "Completed" }, + { id: "LOG-1026", name: "Aditi Rao", date: "Yesterday, 02:15 PM", duration: "00:00", status: "No Answer" }, + ].map((log, i) => ( +
+
+ {log.name} + + {log.status} + +
+
+ {log.date} + {log.duration} +
+
+ ))} +
+
+ + {/* Right Column - Detail View */} +
+
+
+
+

Aarav Patel

+
+ Hindi (Detected) + 02:34 duration + Audio available +
+
+ + Outcome: Agreed to return + +
+ +
+

+ AI Summary +

+

+ The student confirmed they have been unable to complete Module 3 due to a family event. They committed to finishing the module by this upcoming Friday. No technical issues were reported. Overall tone was positive and receptive. +

+
+ +
+
+ Audio Recording + +
+
+
+ Audio player visualization placeholder +
+
+
+
+ +
+
+

Transcript

+
+
+
+
+ +
+
+
AI Agent • 00:00
+
+ Namaste Aarav! Main TAP se call kar rahi hoon. Kaise hain aap? (Hello Aarav! I am calling from TAP. How are you?) +
+
+
+ +
+
+ +
+
+
Aarav • 00:08
+
+ Main theek hoon. Kahiye. (I am fine. Tell me.) +
+
+
+ +
+
+ +
+
+
AI Agent • 00:12
+
+ Aarav, humne dekha ki aapne Module 3 abhi tak complete nahi kiya hai. Kya koi samasya aa rahi hai? (Aarav, we noticed you haven't completed Module 3 yet. Are you facing any issues?) +
+
+
+ +
+
+ +
+
+
Aarav • 00:20
+
+ Nahi madam, bas time nahi mila. Ghar me function tha. (No madam, just didn't get time. There was a function at home.) +
+
+
+
+
+
+
+
+ ); +} diff --git a/frontend/src/app/(console)/settings/page.tsx b/frontend/src/app/(console)/settings/page.tsx new file mode 100644 index 0000000..c1414cc --- /dev/null +++ b/frontend/src/app/(console)/settings/page.tsx @@ -0,0 +1,43 @@ +import { getHealth } from "@/lib/api"; + +export const dynamic = "force-dynamic"; + +export default async function SettingsPage() { + let health; + try { + health = await getHealth(); + } catch { + health = null; + } + + return ( +
+

Settings

+
+

API health

+ {health ? ( +
+
+
Status
+
{health.status}
+
+
+
Version
+
{health.version}
+
+
+
LMS adapter
+
{health.checks.lms_adapter}
+
+
+
Voice provider
+
{health.checks.voice_provider}
+
+
+ ) : ( +

Backend offline — run uvicorn on port 8000.

+ )} +
+
+ ); +} diff --git a/frontend/src/app/(console)/students/page.tsx b/frontend/src/app/(console)/students/page.tsx new file mode 100644 index 0000000..d61684e --- /dev/null +++ b/frontend/src/app/(console)/students/page.tsx @@ -0,0 +1,80 @@ +import { getLearners, type LearnerSummary } from "@/lib/api"; + +export const dynamic = "force-dynamic"; + +const LANG_LABEL: Record = { + hi: "Hindi", + mr: "Marathi", + pa: "Punjabi", + en: "English", +}; + +export default async function StudentsPage() { + let learners: LearnerSummary[] = []; + try { + learners = await getLearners(); + } catch { + /* API offline */ + } + + return ( +
+
+

Learners

+

+ LMS profiles with nudge engine evaluation (Module 2 — live from FastAPI). +

+
+ +
+ + + + + + + + + + + + + {learners.map((l) => ( + + + + + + + + + ))} + +
IDNameLanguage + Completion + + Inactive (days) + Nudge
+ {l.learner_id} + {l.name} + {LANG_LABEL[l.preferred_language] ?? l.preferred_language} + + {l.completion_percentage.toFixed(0)}% + {l.days_inactive} + {l.should_nudge ? ( + + {l.nudge_type?.replace(/_/g, " ") ?? "yes"} + + ) : ( + + )} +
+ {learners.length === 0 && ( +

+ Start the API on port 8000 to load mock LMS learners. +

+ )} +
+
+ ); +} diff --git a/frontend/src/app/(marketing)/impact/page.tsx b/frontend/src/app/(marketing)/impact/page.tsx new file mode 100644 index 0000000..b44db04 --- /dev/null +++ b/frontend/src/app/(marketing)/impact/page.tsx @@ -0,0 +1,68 @@ +import Link from "next/link"; + +const stats = [ + { value: "+38%", label: "Return-to-learning rate" }, + { value: "2.4x", label: "Module completion uplift" }, + { value: "81%", label: "Parent reach" }, + { value: "₹0.42", label: "Cost per nudge" }, + { value: "74%", label: "Call pickup rate" }, + { value: "3", label: "Languages live" }, +]; + +export default function ImpactPage() { + return ( +
+

+ Field results +

+

+ Voice changes the curve. +

+

+ Across 47 government schools in three states, Dhwani brought stalled learners back at 3× the + rate of SMS-only nudges — at a fraction of the cost of human counsellors. +

+ +
+
+ {stats.slice(0, 3).map((s) => ( +
+

{s.value}

+

{s.label}

+
+ ))} +
+
+ {stats.slice(3).map((s) => ( +
+

{s.value}

+

{s.label}

+
+ ))} +
+
+ +
+ +

+ “For the first time, a parent in our village heard a school call them by name — in + Marathi — and asked their child to come back. That call did what six SMSes + couldn't.” +

+
+ — District Education Officer, Pune ZP +
+
+ +
+

3 languages live · 47 schools piloted · 24k+ learners

+ + Open console + +
+
+ ); +} diff --git a/frontend/src/app/(marketing)/layout.tsx b/frontend/src/app/(marketing)/layout.tsx new file mode 100644 index 0000000..b174c06 --- /dev/null +++ b/frontend/src/app/(marketing)/layout.tsx @@ -0,0 +1,16 @@ +import { MarketingNav } from "@/components/marketing/MarketingNav"; +import { Footer } from "@/components/marketing/Footer"; + +export default function MarketingLayout({ + children, +}: { + children: React.ReactNode; +}) { + return ( +
+ +
{children}
+
+
+ ); +} diff --git a/frontend/src/app/(marketing)/page.tsx b/frontend/src/app/(marketing)/page.tsx new file mode 100644 index 0000000..c7bfa7a --- /dev/null +++ b/frontend/src/app/(marketing)/page.tsx @@ -0,0 +1,184 @@ +import Link from "next/link"; +import { + Globe2, + GraduationCap, + MessageCircle, + Phone, + BarChart3, + Radio, +} from "lucide-react"; + +const metrics = [ + { value: "+38%", label: "return-to-learning" }, + { value: "2:41", label: "avg call duration" }, + { value: "12,400", label: "automated interactions" }, +]; + +const features = [ + { + title: "Auto language detection", + description: "Hindi, Marathi, Punjabi, and English — detected on the first utterance.", + large: true, + icon: Globe2, + }, + { + title: "LMS-aware nudging", + description: "Pulls progress and pending tasks from Frappe LMS before every call.", + icon: GraduationCap, + }, + { + title: "WhatsApp + Telephony", + description: "Reach learners on the channel they already use.", + icon: MessageCircle, + }, + { + title: "Escalation logic", + description: "Routes complex cases to human counsellors automatically.", + icon: Phone, + }, + { + title: "Experiment & measure", + description: "A/B test nudge scripts and track return-to-learning within 48 hours.", + icon: BarChart3, + }, + { + title: "Outbound at scale", + description: "Queue thousands of calls with retry and Redis-backed workers.", + icon: Radio, + }, +]; + +const steps = [ + { step: "1", title: "Signal from LMS", text: "Triggered by inactivity or pending assignments." }, + { step: "2", title: "Context assembled", text: "Student name, language, and pending task fetched." }, + { step: "3", title: "Voice agent dials", text: "AI-generated call in Hindi, Marathi, or Punjabi." }, + { step: "4", title: "Action recorded", text: "Outcome synced back to TAP LMS." }, +]; + +export default function LandingPage() { + return ( + <> +
+
+
+

+ The phone rings in their{" "} + language. The learner comes back. +

+

+ Dhwani is TAP's AI voice agent for Hindi, Marathi, and Punjabi — calling students + and parents to explain tasks, answer questions, and bring stalled learners back to + project-based learning. +

+
+ + Launch campaign + + + See how it works + +
+
+ +
+
+
+ Aanya P. · Live call + 2:14 · मराठी +
+
+
+ नमस्कार Aanya! तुमचा Spoken English Module 3 अजून पूर्ण झालेला नाही… +
+
+ हो, मी आज संध्याकाळी login करेन. +
+
+ Excellent! I'll note that you'll return today. +
+
+
+
+ {metrics.map((m) => ( +
+

{m.value}

+

{m.label}

+
+ ))} +
+
+
+
+ +
+
+

+ One voice layer. Every learner. +

+
+ {features.map((f) => ( +
+ +

{f.title}

+

{f.description}

+
+ ))} +
+
+
+ +
+
+

+ From silent learner to “let's start” — in one call. +

+
+ {steps.map((s) => ( +
+ + {s.step} + +

{s.title}

+

{s.text}

+
+ ))} +
+
+
+ +
+
+

+ Ready to call back the next 100,000 learners? +

+

+ See field results from 47 government schools across three states. +

+ + Read the impact report + +
+
+ + ); +} diff --git a/frontend/src/app/favicon.ico b/frontend/src/app/favicon.ico new file mode 100644 index 0000000000000000000000000000000000000000..718d6fea4835ec2d246af9800eddb7ffb276240c GIT binary patch literal 25931 zcmeHv30#a{`}aL_*G&7qml|y<+KVaDM2m#dVr!KsA!#An?kSQM(q<_dDNCpjEux83 zLb9Z^XxbDl(w>%i@8hT6>)&Gu{h#Oeyszu?xtw#Zb1mO{pgX9699l+Qppw7jXaYf~-84xW z)w4x8?=youko|}Vr~(D$UXIbiXABHh`p1?nn8Po~fxRJv}|0e(BPs|G`(TT%kKVJAdg5*Z|x0leQq0 zkdUBvb#>9F()jo|T~kx@OM8$9wzs~t2l;K=woNssA3l6|sx2r3+kdfVW@e^8e*E}v zA1y5{bRi+3Z`uD3{F7LgFJDdvm;nJilkzDku>BwXH(8ItVCXk*-lSJnR?-2UN%hJ){&rlvg`CDTj z)Bzo!3v7Ou#83zEDEFcKt(f1E0~=rqeEbTnMvWR#{+9pg%7G8y>u1OVRUSoox-ovF z2Ydma(;=YuBY(eI|04{hXzZD6_f(v~H;C~y5=DhAC{MMS>2fm~1H_t2$56pc$NH8( z5bH|<)71dV-_oCHIrzrT`2s-5w_+2CM0$95I6X8p^r!gHp+j_gd;9O<1~CEQQGS8) zS9Qh3#p&JM-G8rHekNmKVewU;pJRcTAog68KYo^dRo}(M>36U4Us zfgYWSiHZL3;lpWT=zNAW>Dh#mB!_@Lg%$ms8N-;aPqMn+C2HqZgz&9~Eu z4|Kp<`$q)Uw1R?y(~S>ePdonHxpV1#eSP1B;Ogo+-Pk}6#0GsZZ5!||ev2MGdh}_m 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z-nLZC*6Tgivd5V`K%GxhBsp@SUU60-rfc$=wb>zdJzXS&-5(NRRodFk;Kxk!S(O(a0e7oY=E( zAyS;Ow?6Q&XA+cnkCb{28_1N8H#?J!*$MmIwLq^*T_9-z^&UE@A(z9oGYtFy6EZef LrJugUA?W`A8`#=m literal 0 HcmV?d00001 diff --git a/frontend/src/app/globals.css b/frontend/src/app/globals.css new file mode 100644 index 0000000..c420f65 --- /dev/null +++ b/frontend/src/app/globals.css @@ -0,0 +1,23 @@ +@import "tailwindcss"; + +:root { + --dhwani-navy: #0f2744; + --dhwani-blue: #2563eb; + --dhwani-sky: #3b82f6; + --dhwani-bg: #f8fafc; + --dhwani-muted: #64748b; + --background: #f8fafc; + --foreground: #0f172a; +} + +@theme inline { + --color-background: var(--background); + --color-foreground: var(--foreground); + --font-sans: var(--font-inter); +} + +body { + background: var(--background); + color: var(--foreground); + font-family: var(--font-inter), system-ui, sans-serif; +} diff --git a/frontend/src/app/layout.tsx b/frontend/src/app/layout.tsx new file mode 100644 index 0000000..19a0a94 --- /dev/null +++ b/frontend/src/app/layout.tsx @@ -0,0 +1,26 @@ +import type { Metadata } from "next"; +import { Inter } from "next/font/google"; +import "./globals.css"; + +const inter = Inter({ + variable: "--font-inter", + subsets: ["latin"], +}); + +export const metadata: Metadata = { + title: "Dhwani — Multilingual Voice Agent for TAP", + description: + "AI-powered multilingual voice nudges for student re-engagement — Hindi, Marathi, Punjabi.", +}; + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + {children} + + ); +} diff --git a/frontend/src/components/dashboard/Charts.tsx b/frontend/src/components/dashboard/Charts.tsx new file mode 100644 index 0000000..676b445 --- /dev/null +++ b/frontend/src/components/dashboard/Charts.tsx @@ -0,0 +1,97 @@ +"use client"; + +import { + BarChart, + Bar, + XAxis, + YAxis, + CartesianGrid, + Tooltip, + ResponsiveContainer, + LineChart, + Line, +} from "recharts"; + +const data = [ + { name: "Mon", calls: 400, success: 240 }, + { name: "Tue", calls: 300, success: 139 }, + { name: "Wed", calls: 200, success: 980 }, + { name: "Thu", calls: 278, success: 390 }, + { name: "Fri", calls: 189, success: 480 }, + { name: "Sat", calls: 239, success: 380 }, + { name: "Sun", calls: 349, success: 430 }, +]; + +export function EngagementChart() { + return ( +
+ + + + + + + + + + +
+ ); +} + +const trendData = [ + { name: "Week 1", rate: 45 }, + { name: "Week 2", rate: 52 }, + { name: "Week 3", rate: 49 }, + { name: "Week 4", rate: 65 }, + { name: "Week 5", rate: 72 }, +]; + +export function ReturnToLearningChart() { + return ( +
+ + + + + + + + + +
+ ); +} diff --git a/frontend/src/components/dashboard/KPICard.tsx b/frontend/src/components/dashboard/KPICard.tsx new file mode 100644 index 0000000..bc7a3c7 --- /dev/null +++ b/frontend/src/components/dashboard/KPICard.tsx @@ -0,0 +1,34 @@ +import { LucideIcon } from "lucide-react"; + +interface KPICardProps { + title: string; + value: string | number; + icon: LucideIcon; + trend?: string; + trendUp?: boolean; +} + +export function KPICard({ title, value, icon: Icon, trend, trendUp }: KPICardProps) { + return ( +
+
+

{title}

+
+ +
+
+
+

{value}

+ {trend && ( + + {trendUp ? "↑" : "↓"} {trend} + + )} +
+
+ ); +} diff --git a/frontend/src/components/dashboard/ReengagementChart.tsx b/frontend/src/components/dashboard/ReengagementChart.tsx new file mode 100644 index 0000000..72f7e44 --- /dev/null +++ b/frontend/src/components/dashboard/ReengagementChart.tsx @@ -0,0 +1,42 @@ +"use client"; + +import { + Area, + AreaChart, + CartesianGrid, + ResponsiveContainer, + Tooltip, + XAxis, + YAxis, +} from "recharts"; + +type Point = { date: string; count: number }; + +export function ReengagementChart({ data }: { data: Point[] }) { + return ( +
+ + + + + + + + + + + + + + + +
+ ); +} diff --git a/frontend/src/components/layout/Sidebar.tsx b/frontend/src/components/layout/Sidebar.tsx new file mode 100644 index 0000000..92e6a0e --- /dev/null +++ b/frontend/src/components/layout/Sidebar.tsx @@ -0,0 +1,77 @@ +"use client"; + +import Link from "next/link"; +import { usePathname } from "next/navigation"; +import { + LayoutDashboard, + Users, + MessageSquare, + Megaphone, + BarChart3, + Settings, + Phone, + Radio, +} from "lucide-react"; + +const navigation = [ + { name: "Overview", href: "/dashboard", icon: LayoutDashboard }, + { name: "Live calls", href: "/logs", icon: Radio }, + { name: "Learners", href: "/students", icon: Users }, + { name: "Conversation logs", href: "/logs", icon: MessageSquare }, + { name: "Campaigns", href: "/campaigns", icon: Megaphone }, + { name: "Analytics", href: "/analytics", icon: BarChart3 }, +]; + +export function Sidebar() { + const pathname = usePathname(); + + return ( +
+
+ + + + Dhwani +
+ +
+

TAP — Pilot district

+

Pune Zilha Parishad

+ + ← Marketing site + + + + Settings + +
+
+ ); +} diff --git a/frontend/src/components/layout/TopNavbar.tsx b/frontend/src/components/layout/TopNavbar.tsx new file mode 100644 index 0000000..66d07ca --- /dev/null +++ b/frontend/src/components/layout/TopNavbar.tsx @@ -0,0 +1,63 @@ +import { Bell, Search, User } from "lucide-react"; + +export function TopNavbar() { + return ( +
+
+
+ +
+ ); +} diff --git a/frontend/src/components/marketing/Footer.tsx b/frontend/src/components/marketing/Footer.tsx new file mode 100644 index 0000000..8645ac0 --- /dev/null +++ b/frontend/src/components/marketing/Footer.tsx @@ -0,0 +1,15 @@ +export function Footer() { + return ( +
+
+

+ Built for The Apprentice Project · + Multilingual voice nudges for India's classrooms. +

+

+ © 2026 Dhwani. Hindi · मराठी · ਪੰਜਾਬੀ +

+
+
+ ); +} diff --git a/frontend/src/components/marketing/MarketingNav.tsx b/frontend/src/components/marketing/MarketingNav.tsx new file mode 100644 index 0000000..f7b3488 --- /dev/null +++ b/frontend/src/components/marketing/MarketingNav.tsx @@ -0,0 +1,58 @@ +"use client"; + +import Link from "next/link"; +import { usePathname } from "next/navigation"; +import { Phone } from "lucide-react"; + +const links = [ + { name: "Overview", href: "/" }, + { name: "How it works", href: "/#how-it-works" }, + { name: "Impact", href: "/impact" }, + { name: "Dashboard", href: "/dashboard" }, +]; + +export function MarketingNav() { + const pathname = usePathname(); + + return ( +
+
+ + + + + + Dhwani + + + + + + + Open console + +
+
+ ); +} diff --git a/frontend/tsconfig.json b/frontend/tsconfig.json new file mode 100644 index 0000000..cf9c65d --- /dev/null +++ b/frontend/tsconfig.json @@ -0,0 +1,34 @@ +{ + "compilerOptions": { + "target": "ES2017", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "react-jsx", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": ["./src/*"] + } + }, + "include": [ + "next-env.d.ts", + "**/*.ts", + "**/*.tsx", + ".next/types/**/*.ts", + ".next/dev/types/**/*.ts", + "**/*.mts" + ], + "exclude": ["node_modules"] +} diff --git a/scripts/verify_all.py b/scripts/verify_all.py new file mode 100644 index 0000000..cbced83 --- /dev/null +++ b/scripts/verify_all.py @@ -0,0 +1,123 @@ +#!/usr/bin/env python3 +"""Run live API verification for Module A, B, and LMS/nudge.""" + +from __future__ import annotations + +import json +import sys +import urllib.error +import urllib.request + +BASE = sys.argv[1] if len(sys.argv) > 1 else "http://127.0.0.1:8010" + +results: list[tuple[str, bool, str]] = [] + + +def check(name: str, ok: bool, detail: str = "") -> None: + results.append((name, ok, detail)) + mark = "PASS" if ok else "FAIL" + print(f"[{mark}] {name}" + (f" — {detail}" if detail else "")) + + +def get(path: str) -> dict: + with urllib.request.urlopen(f"{BASE}{path}", timeout=10) as r: + return json.loads(r.read().decode()) + + +def post(path: str, body: dict) -> tuple[int, dict]: + data = json.dumps(body).encode() + req = urllib.request.Request( + f"{BASE}{path}", + data=data, + headers={"Content-Type": "application/json"}, + method="POST", + ) + try: + with urllib.request.urlopen(req, timeout=10) as r: + return r.status, json.loads(r.read().decode()) + except urllib.error.HTTPError as e: + return e.code, json.loads(e.read().decode()) if e.fp else {"error": str(e)} + + +def main() -> int: + print(f"Verifying Dhwani API at {BASE}\n") + + # Identify app + try: + health = get("/health") + except Exception as e: + check("Server reachable", False, str(e)) + return 1 + + is_dhwani = health.get("status") == "ok" and "version" in health + check("Correct app (TAP Voice Agent)", is_dhwani, json.dumps(health)[:120]) + if not is_dhwani: + return 1 + + check("Module A — voice_provider in health", "voice_provider" in health.get("checks", {})) + check( + "Module A — lms_adapter in health", + health["checks"].get("lms_adapter") in ("mock", "live"), + ) + + # Module B — language + _, hi = post("/api/v1/language/detect", {"text": "नमस्ते मुझे मदद चाहिए"}) + check("Module B — Hindi detect", hi.get("language") == "hi", hi.get("language", "")) + + _, mr = post("/api/v1/language/detect", {"text": "मला शाळेत जायचे आहे"}) + check("Module B — Marathi detect", mr.get("language") == "mr", mr.get("language", "")) + + _, pa = post("/api/v1/language/detect", {"text": "ਮੈਨੂੰ ਸਕੂਲ ਜਾਣਾ ਹੈ"}) + check("Module B — Punjabi detect", pa.get("language") == "pa", pa.get("language", "")) + + # Module C / PR10 — nudge + LMS + ctx = get("/api/v1/nudge/learner_003/context") + check("LMS — learner context", ctx.get("learner_id") == "learner_003") + + plan = get("/api/v1/nudge/learner_003/plan") + check("Nudge — should_nudge inactive learner", plan.get("should_nudge") is True) + + voice = get("/api/v1/nudge/learner_003/voice-plan") + script = voice.get("voice_script", {}) + check( + "Module B — multilingual voice script", + all(script.get(k) for k in ("hi", "mr", "pa")), + ) + + # Module A — webhooks + code, wh = post( + "/api/v1/webhooks/voice", + { + "provider": "vapi", + "event_type": "transcript", + "call_id": "verify-001", + "learner_id": "learner_001", + "transcript": "नमस्ते", + "language_hint": "hi-IN", + }, + ) + check("Module A — voice webhook 202", code == 202, str(code)) + check("Module A — voice webhook accepted", wh.get("status") == "accepted") + + code2, wa = post( + "/api/v1/webhooks/whatsapp", + {"object": "whatsapp_business_account", "entry": []}, + ) + check("Module A — WhatsApp webhook", code2 == 200 and wa.get("status") == "accepted") + + # Dashboard + dash = get("/api/v1/dashboard/overview") + check("Dashboard overview", len(dash.get("live_calls", [])) >= 3) + check("Dashboard KPIs", dash.get("kpis", {}).get("calls_today", 0) > 0) + + learners = get("/api/v1/dashboard/learners") + check("Dashboard learners", len(learners) == 3) + + failed = [r for r in results if not r[1]] + print(f"\n{'=' * 50}") + print(f"Total: {len(results)} | Passed: {len(results) - len(failed)} | Failed: {len(failed)}") + return 1 if failed else 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/tests/test_dashboard.py b/tests/test_dashboard.py new file mode 100644 index 0000000..13f6989 --- /dev/null +++ b/tests/test_dashboard.py @@ -0,0 +1,55 @@ +"""Tests for dashboard and language APIs.""" + +from __future__ import annotations + +import pytest + + +@pytest.mark.asyncio +async def test_dashboard_overview(client) -> None: + response = await client.get("/api/v1/dashboard/overview") + assert response.status_code == 200 + data = response.json() + assert data["kpis"]["calls_today"] > 0 + assert len(data["live_calls"]) >= 3 + assert len(data["language_shares"]) >= 1 + assert len(data["reengagement_curve"]) == 14 + assert data["lms_mode"] == "mock" + + +@pytest.mark.asyncio +async def test_dashboard_learners(client) -> None: + response = await client.get("/api/v1/dashboard/learners") + assert response.status_code == 200 + learners = response.json() + assert len(learners) == 3 + assert any(l["should_nudge"] for l in learners) + + +@pytest.mark.asyncio +async def test_language_detect_hindi(client) -> None: + response = await client.post( + "/api/v1/language/detect", + json={"text": "नमस्ते, मुझे मदद चाहिए"}, + ) + assert response.status_code == 200 + assert response.json()["language"] == "hi" + + +@pytest.mark.asyncio +async def test_language_detect_punjabi(client) -> None: + response = await client.post( + "/api/v1/language/detect", + json={"text": "ਮੈਨੂੰ ਸਕੂਲ ਜਾਣਾ ਹੈ"}, + ) + assert response.status_code == 200 + assert response.json()["language"] == "pa" + + +@pytest.mark.asyncio +async def test_voice_nudge_plan(client) -> None: + response = await client.get("/api/v1/nudge/learner_003/voice-plan") + assert response.status_code == 200 + data = response.json() + assert "voice_script" in data + assert "नमस्कार" in data["voice_script"]["mr"] or "नमस्ते" in data["voice_script"]["hi"] diff --git a/tests/test_voice_script.py b/tests/test_voice_script.py new file mode 100644 index 0000000..457c2f9 --- /dev/null +++ b/tests/test_voice_script.py @@ -0,0 +1,31 @@ +"""Tests for multilingual voice script generation.""" + +from __future__ import annotations + +import pytest +import pytest_asyncio + +from app.adapters.lms.mock_adapter import MockLMSAdapter +from app.models.schemas import Language +from app.services.nudge_engine import NudgeEngine + + +@pytest_asyncio.fixture +async def engine() -> NudgeEngine: + return NudgeEngine(lms_adapter=MockLMSAdapter()) + + +@pytest.mark.asyncio +async def test_build_voice_plan_has_all_languages(engine: NudgeEngine) -> None: + plan = await engine.build_voice_plan("learner_001") + assert plan.voice_script.hi + assert plan.voice_script.mr + assert plan.voice_script.pa + assert plan.decision.learner_id == "learner_001" + + +@pytest.mark.asyncio +async def test_milestone_script(engine: NudgeEngine) -> None: + plan = await engine.build_voice_plan("learner_002") + assert plan.decision.nudge_type == "milestone_celebration" + assert "बधाई" in plan.voice_script.hi or "Congratulations" in plan.voice_script.en