62 lines
4.3 KiB
Markdown
62 lines
4.3 KiB
Markdown
## 1. FastAPI Pattern Detection Endpoints
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- [x] 1.1 Extract pattern detection logic from `generate_talib_annotations.py` into a reusable module (e.g., `app/patterns.py`) with `detect_patterns(candles, pattern_names)` function
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- [x] 1.2 Add `GET /patterns/available` endpoint returning all supported CDL pattern names with display names
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- [x] 1.3 Add `POST /patterns/detect` endpoint accepting `{candles, patterns}`, running selected CDL functions, returning span annotations with source "talib"
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- [x] 1.4 Add input validation: reject invalid pattern names with HTTP 400, handle empty patterns list as "run all"
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## 2. FastAPI Training Endpoints
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- [x] 2.1 Add `POST /training/start` endpoint that launches training in a background thread, returns `{run_id, status: "running"}`, and rejects concurrent runs with HTTP 409
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- [x] 2.2 Add `GET /training/runs` endpoint returning training run history from the `training_runs` table, sorted by date descending
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- [x] 2.3 Add `GET /training/dataset-info` endpoint returning labeled dataset file path, existence, size, and row count
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- [x] 2.4 Add background training thread management: track active run, update DB status on completion/failure
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## 3. FastAPI Model Loading Endpoint
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- [x] 3.1 Add `POST /model/load` endpoint accepting `{run_id}`, looking up the training run, loading the model artifact, and replacing the active model in `AppState`
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- [x] 3.2 Add thread-safe model swap with locking to prevent conflicts with in-flight prediction requests
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## 4. Next.js Proxy Routes
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- [x] 4.1 Add `GET /api/patterns/available` proxy route
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- [x] 4.2 Add `POST /api/patterns/detect` proxy route
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- [x] 4.3 Add `POST /api/training/start` proxy route
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- [x] 4.4 Add `GET /api/training/runs` proxy route
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- [x] 4.5 Add `GET /api/training/dataset-info` proxy route
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- [x] 4.6 Add `POST /api/model/load` proxy route
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- [x] 4.7 Extend `DELETE /api/span-annotations` to support `source` and `label` query parameters for bulk deletion
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## 5. TA-Lib Pattern UI Panel
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- [x] 5.1 Create `TalibPatternPanel` component with collapsible section, fetching available patterns from `/api/patterns/available` on mount
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- [x] 5.2 Add pattern checkboxes grouped by category with "Select All" / "Deselect All" toggle
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- [x] 5.3 Add "Detect Patterns" button that sends selected patterns + chart candles to `/api/patterns/detect`, shows loading state
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- [x] 5.4 Save detection results as span annotations via `POST /api/span-annotations` with `source: "talib"` and refresh the annotation list
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- [x] 5.5 Add detection results summary showing pattern counts grouped by name
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- [x] 5.6 Add "Clear All TA-Lib" bulk delete button calling `DELETE /api/span-annotations?source=talib&chartId=X`
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- [x] 5.7 Add per-pattern-type delete in results summary
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## 6. Training UI Panel
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- [x] 6.1 Create `TrainingPanel` component with collapsible section
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- [x] 6.2 Add model type dropdown (Random Forest / XGBoost) defaulting to Random Forest
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- [x] 6.3 Add dataset info display fetching from `/api/training/dataset-info`, showing warning if missing
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- [x] 6.4 Add "Start Training" button with loading state, disabled when training active or dataset missing
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- [x] 6.5 Add training status polling (5s interval) while a run is active, showing progress indicator
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- [x] 6.6 Add training completion/failure handling with success message and metrics display
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- [x] 6.7 Add training run history list fetching from `/api/training/runs`, showing 5 most recent runs with model type, status, date, metrics
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## 7. Model Selector Integration
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- [x] 7.1 Create `ModelSelector` dropdown component fetching completed training runs from `/api/training/runs`
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- [x] 7.2 Integrate `ModelSelector` into `PredictionPanel` above action buttons, showing current model as active
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- [x] 7.3 Wire model switch: on selection call `POST /api/model/load`, clear prediction cache, refresh model info
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- [x] 7.4 Handle model load errors: show error toast, keep previous model active
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## 8. Sidebar Layout Integration
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- [x] 8.1 Add `TalibPatternPanel` to the sidebar in `page.tsx` between SpanAnnotationList and PredictionPanel
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- [x] 8.2 Add `TrainingPanel` to the sidebar between TalibPatternPanel and PredictionPanel
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- [x] 8.3 Make TalibPatternPanel, TrainingPanel, and PredictionPanel collapsible (default collapsed for new panels)
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- [x] 8.4 Wire all new component state and callbacks in `page.tsx`
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