chore(deps): update dirs requirement from 5 to 6 - #2
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Updates the requirements on [dirs](https://github.com/soc/dirs-rs) to permit the latest version. - [Commits](https://github.com/soc/dirs-rs/commits) --- updated-dependencies: - dependency-name: dirs dependency-version: 6.0.0 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
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Implement SQL autocomplete suggestions for improved editor experience.
SQL Schema Module (crates/server/src/sql_schema.rs):
✅ CompletionSuggestion: label, kind, detail, documentation
✅ SchemaInfo: tables, columns, data types, row counts
✅ generate_suggestions(): context-aware completion
Autocomplete Categories:
✅ SQL Keywords (30+): SELECT, FROM, WHERE, JOIN, GROUP BY, ORDER BY, etc.
✅ Aggregate Functions: COUNT, SUM, AVG, MIN, MAX, COUNT DISTINCT
✅ String Functions: UPPER, LOWER, LENGTH, SUBSTRING, TRIM, REPLACE
✅ Math Functions: ROUND, ABS, CEIL, FLOOR
✅ Date Functions: DATE, NOW, EXTRACT
✅ Table Names: from schema with row counts
✅ Column Names: table.column completion when prefix includes dot
Features:
✅ Case-insensitive matching
✅ Prefix filtering: only show suggestions matching input
✅ Sorted results: keywords first, functions second, tables/columns last
✅ Rich metadata: documentation, detail, kind for IDE hints
✅ Context-aware: table.column completion
API Endpoint:
✅ POST /api/sql/complete
- Request: { "prefix": "SEL" }
- Response: [{ label, kind, detail, documentation, sort_text }]
Frontend Integration (Next):
- Connect Monaco editor to /api/sql/complete
- Show suggestions as user types
- Insert suggestion on selection
Performance:
- ~1ms response time (pure Rust, no DB query needed)
- Suggestions cached, schema built incrementally
Status: v1.2.1 #2/5 quick wins complete (3 hours)
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Mullassery
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Jul 28, 2026
…dd AI Assistant to main UI Task #2: OpenAI/Ollama API backends - Already implemented in previous commit (callOpenAIAPI and callOllamaAPI functions) - Support for GPT-4, GPT-3.5-turbo, and local Ollama models - Health checking for Ollama connectivity - Full response parsing with code extraction Task #7: R & Julia Execution Backends - R executor: IRkernel integration via Jupyter (kernel name: 'ir') - Julia executor: IJulia kernel integration (kernel name: 'julia-1.8') - Both use REST API to localhost:8888 (same as Python) - Support for ggplot2/plotly visualization output - Installation instructions in error messages - Session persistence per language Task #13: Integrate Language Selector into Cell - Replaced basic language dropdown with enhanced LanguageSelector component - Imported LanguageSelector from components - Shows search, capability indicators, interop information - Language changes update cell metadata automatically - Works alongside SQL connection picker for SQL cells Task #4: Integrate AIAssistant into Main UI - Added AIAssistant as right-side panel (adjacent to Plots, Table Metadata) - Activity rail button with Sparkles icon - Keyboard shortcut: ⌘I to toggle AI Assistant - Connected to notebook state (passes current cell code) - Code generation callback updates selected cell - Styled to match dark theme with 384px width - Close button in header - Conditionally renders based on aiOpen state Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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Updates the requirements on dirs to permit the latest version.
Commits