Add complete workflow for using TA-Lib to bootstrap training data: - generate_talib_annotations.py: Python script to run TA-Lib CDL* functions and output span annotations in UI-compatible format - import_talib_annotations.ts: TypeScript script to import generated annotations into the UI database with auto-label-type creation - npm script 'import-annotations' for easy execution - TALIB_WORKFLOW.md: Comprehensive guide covering the full cycle: * Generate patterns with TA-Lib * Import into UI * Review and edit in browser * Export and train model * Compare predictions with TA-Lib detections * Iterate for improvement This enables the intended workflow: use TA-Lib for initial annotations, manually refine them, then train a model that learns from corrections.
49 lines
1.3 KiB
JSON
49 lines
1.3 KiB
JSON
{
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"name": "candle_annotator",
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"version": "1.0.0",
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"description": "",
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"main": "index.js",
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"scripts": {
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"dev": "next dev",
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"build": "next build",
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"start": "next start",
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"lint": "next lint",
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"import-annotations": "tsx scripts/import_talib_annotations.ts"
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},
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"keywords": [],
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"author": "",
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"license": "ISC",
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"dependencies": {
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"@radix-ui/react-dialog": "^1.1.15",
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"@radix-ui/react-label": "^2.1.8",
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"@radix-ui/react-select": "^2.2.6",
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"@radix-ui/react-slider": "^1.3.6",
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"@types/better-sqlite3": "^7.6.13",
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"@types/node": "^25.2.3",
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"@types/papaparse": "^5.5.2",
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"@types/react": "^19.2.14",
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"@types/react-dom": "^19.2.3",
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"autoprefixer": "^10.4.24",
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"better-sqlite3": "^12.6.2",
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"class-variance-authority": "^0.7.1",
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"clsx": "^2.1.1",
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"drizzle-orm": "^0.45.1",
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"eslint": "^9.39.2",
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"eslint-config-next": "^16.1.6",
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"lightweight-charts": "^4.2.3",
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"lucide-react": "^0.563.0",
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"next": "^16.1.6",
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"next-themes": "^0.4.6",
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"papaparse": "^5.5.3",
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"postcss": "^8.5.6",
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"react": "^19.2.4",
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"react-dom": "^19.2.4",
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"tailwind-merge": "^3.4.0",
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"typescript": "^5.9.3"
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},
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"devDependencies": {
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"drizzle-kit": "^0.31.9",
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"tailwindcss": "^3.4.19",
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"tsx": "^4.21.0"
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}
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}
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