feat: complete candle annotator implementation
- Created CandleChart component with lightweight-charts integration - Implemented SvgOverlay component for line drawing - Integrated all components in main page - Fixed TypeScript and Tailwind CSS compatibility issues - Added comprehensive README.md with project documentation - Created DEPLOYMENT.md with setup and troubleshooting guide - Downgraded to stable versions (Tailwind v3, lightweight-charts v4) - All 59 tasks from OpenSpec completed
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165
DEPLOYMENT.md
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165
DEPLOYMENT.md
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# Deployment Guide
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## Prerequisites
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- Node.js 18.x or higher
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- npm 9.x or higher
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- Python and build tools (for native module compilation)
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## Local Development Setup
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### 1. Install Dependencies
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```bash
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npm install
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```
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Note: The `better-sqlite3` package requires native compilation. If you encounter build errors, ensure you have the necessary build tools:
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**Linux:**
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```bash
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sudo apt-get install build-essential python3
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```
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**macOS:**
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```bash
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xcode-select --install
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```
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**Windows:**
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```bash
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npm install --global windows-build-tools
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```
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### 2. Database Setup
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The SQLite database will be automatically created when you start the application. The database file is located at:
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```
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./data/candles.db
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```
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To run migrations manually:
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```bash
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npx drizzle-kit generate
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npx drizzle-kit migrate
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```
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### 3. Start Development Server
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```bash
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npm run dev
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```
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The application will be available at:
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- http://localhost:3000
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### 4. Verify Setup
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1. Open the application in your browser
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2. Upload a sample CSV file with OHLC data (columns: time, open, high, low, close)
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3. Verify the candlestick chart renders correctly
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4. Test annotation tools (Break Up, Break Down, Draw Line, Delete)
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5. Export annotations as CSV
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## CSV File Format
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The application expects CSV files with the following format:
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```csv
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time,open,high,low,close
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1700000000,1.0500,1.0520,1.0490,1.0510
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1700000060,1.0510,1.0530,1.0505,1.0525
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```
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**Time column formats:**
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- Unix timestamp (seconds): `1700000000`
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- Date string: `2024-01-15`
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## Building for Production
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```bash
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npm run build
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```
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Note: Production builds with `better-sqlite3` require the native module to be compiled for the target platform.
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## Running Production Build
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```bash
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npm run build
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npm start
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```
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The production server will run on port 3000 by default.
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## Troubleshooting
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### better-sqlite3 Build Issues
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If you encounter errors related to `better-sqlite3` not finding bindings:
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1. Rebuild the module:
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```bash
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npm rebuild better-sqlite3
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```
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2. If that fails, reinstall:
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```bash
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npm uninstall better-sqlite3
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npm install better-sqlite3
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```
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3. For development, you can use `npm run dev` which handles the module better than production builds.
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### Database Issues
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If the database becomes corrupted or you want to start fresh:
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1. Stop the application
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2. Delete the database file:
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```bash
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rm -f data/candles.db
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```
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3. Restart the application (it will recreate the database)
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### Port Already in Use
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If port 3000 is already in use, you can specify a different port:
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```bash
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PORT=3001 npm run dev
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```
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## Environment Variables
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The application doesn't require any environment variables for local development. All configuration is hardcoded for simplicity.
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## File Structure
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```
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.
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├── src/
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│ ├── app/ # Next.js app router
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│ │ ├── api/ # API routes
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│ │ ├── layout.tsx # Root layout
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│ │ └── page.tsx # Main page
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│ ├── components/ # React components
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│ │ ├── CandleChart.tsx
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│ │ ├── SvgOverlay.tsx
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│ │ ├── Toolbox.tsx
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│ │ └── FileUpload.tsx
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│ └── lib/ # Utilities
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│ └── db/ # Database configuration
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├── data/ # SQLite database directory
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├── drizzle/ # Database migrations
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└── public/ # Static assets
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```
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## Notes
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- This application is designed for **single-user local use** only
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- There is no authentication or user management
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- The SQLite database is stored locally and not intended for concurrent access
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- For production multi-user deployments, consider migrating to PostgreSQL or similar
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271
README.md
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README.md
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# Candle Annotator
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A web-based tool for manually annotating candlestick charts with pattern labels and trend lines. Built for creating labeled training data for machine learning models in trading analysis.
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## Overview
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Candle Annotator provides a TradingView-like charting interface that allows traders and researchers to:
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- Upload historical OHLC (Open, High, Low, Close) candle data from CSV files
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- Visualize candlestick charts with interactive zoom and pan
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- Mark breakout patterns (Break Up, Break Down) directly on candles
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- Draw custom trend lines with two-click interaction
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- Delete annotations with a dedicated tool
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- Export all annotations as CSV for ML training pipelines
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## Features
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### Data Management
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- **CSV Upload**: Import OHLC data with support for both Unix timestamps and date strings
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- **SQLite Storage**: All candle data and annotations stored locally in SQLite database
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- **Data Persistence**: Annotations and candles persist between sessions
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### Chart Visualization
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- **Interactive Candlestick Chart**: Powered by lightweight-charts library
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- **Dark Theme**: Eye-friendly slate color scheme
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- **Zoom & Pan**: Mouse wheel zoom and drag-to-pan functionality
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- **Crosshair**: Precise price and time tracking
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### Annotation Tools
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- **Break Up Markers**: Green arrow markers below candles indicating upward breakouts
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- **Break Down Markers**: Red arrow markers above candles indicating downward breakouts
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- **Trend Lines**: Two-click line drawing with real-time preview
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- **Delete Tool**: Remove any annotation (markers or lines) by clicking on them
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- **Tool Toggle**: Click tool button again to deactivate
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### Export
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- **CSV Export**: Download all annotations with timestamp, label type, and price data
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- **ML-Ready Format**: Structured data suitable for training ML models
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## Tech Stack
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- **Frontend**: Next.js 16 (App Router), React 19, TypeScript
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- **Styling**: Tailwind CSS 3, shadcn/ui components
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- **Charting**: lightweight-charts 4.x (TradingView)
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- **Icons**: lucide-react
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- **Backend**: Next.js API Routes
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- **Database**: SQLite with better-sqlite3
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- **ORM**: Drizzle ORM
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- **CSV Parsing**: papaparse
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## Getting Started
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### Prerequisites
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- Node.js 18.x or higher
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- npm 9.x or higher
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- Build tools for native modules (see DEPLOYMENT.md)
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### Installation
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1. Clone the repository:
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```bash
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git clone <repository-url>
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cd candle_annotator
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```
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2. Install dependencies:
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```bash
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npm install
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```
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3. Start the development server:
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```bash
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npm run dev
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```
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4. Open http://localhost:3000 in your browser
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### Usage
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1. **Upload Data**: Click "Choose CSV File" and select a CSV with columns: `time,open,high,low,close`
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2. **View Chart**: The candlestick chart renders automatically after upload
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3. **Add Annotations**:
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- Click "Label: Break Up" or "Label: Break Down" then click on a candle
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- Click "Draw Line" then click two points to draw a trend line
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- Press Escape to cancel line drawing
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4. **Delete Annotations**: Click "Delete" tool, then click on markers or lines to remove them
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5. **Export**: Click "Export CSV" to download all annotations
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## CSV File Format
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### Input Format
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Your CSV file should have these columns:
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```csv
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time,open,high,low,close
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1700000000,1.0500,1.0520,1.0490,1.0510
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1700000060,1.0510,1.0530,1.0505,1.0525
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```
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**Time column** accepts:
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- Unix timestamps (seconds): `1700000000`
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- Date strings: `2024-01-15`, `2024-01-15 10:30:00`
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### Export Format
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The exported CSV includes:
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```csv
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timestamp,label_type,price
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1700000000,break_up,1.0510
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1700000120,break_down,1.0505
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1700000000,line,1.0500
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```
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- **timestamp**: Unix timestamp of the annotation
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- **label_type**: `break_up`, `break_down`, or `line`
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- **price**: Close price for markers, start price for lines
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## Database Schema
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### Candles Table
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```typescript
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{
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id: integer (PK, auto-increment),
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time: integer (Unix timestamp, unique),
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open: real,
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high: real,
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low: real,
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close: real
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}
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```
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### Annotations Table
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```typescript
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{
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id: integer (PK, auto-increment),
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timestamp: integer (Unix timestamp),
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label_type: text ('break_up' | 'break_down' | 'line'),
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geometry: text (JSON string for line coordinates, null for markers),
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created_at: integer (Unix timestamp)
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}
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```
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## API Endpoints
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### POST /api/upload
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Upload CSV file and store candle data
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**Request**: multipart/form-data with `file` field
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**Response**: `{ success: true, count: number }` or `{ error: string }`
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### GET /api/candles
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Retrieve all candle records
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**Response**: Array of candle objects ordered by time
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### GET /api/annotations
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Retrieve all annotations
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**Response**: Array of annotation objects with parsed geometry
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### POST /api/annotations
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Create a new annotation
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**Request**: `{ timestamp: number, label_type: string, geometry?: object }`
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**Response**: Created annotation object with ID
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### DELETE /api/annotations/[id]
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Delete an annotation by ID
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**Response**: `{ success: true }` or `{ error: string }`
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### GET /api/export
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Export annotations as downloadable CSV
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**Response**: CSV file download with Content-Disposition header
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## Architecture
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### Component Structure
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- **page.tsx**: Main page composition, manages active tool state
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- **Toolbox.tsx**: Sidebar with tool buttons and export functionality
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- **FileUpload.tsx**: CSV upload component with status messages
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- **CandleChart.tsx**: Core chart wrapper with lightweight-charts integration
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- Initializes chart with dark theme
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- Handles marker annotations (Break Up/Down)
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- Manages click events for annotation creation
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- Exposes `refreshData()` method for parent updates
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- **SvgOverlay.tsx**: Transparent SVG layer for line drawing
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- Coordinate transformation between data and pixels
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- Two-click line drawing with preview
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- Line hit detection for deletion
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### Data Flow
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1. User uploads CSV → POST /api/upload → SQLite storage
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2. Chart mounts → GET /api/candles + GET /api/annotations → Render
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3. User clicks with active tool → POST /api/annotations → Refresh chart
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4. User deletes → DELETE /api/annotations/[id] → Refresh chart
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5. User exports → GET /api/export → CSV download
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## Development
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### Project Structure
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```
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candle_annotator/
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├── src/
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│ ├── app/
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│ │ ├── api/ # API route handlers
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│ │ │ ├── upload/
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│ │ │ ├── candles/
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│ │ │ ├── annotations/
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│ │ │ └── export/
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│ │ ├── globals.css # Tailwind styles
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│ │ ├── layout.tsx # Root layout with dark theme
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│ │ └── page.tsx # Main page
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│ ├── components/
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│ │ ├── ui/ # shadcn/ui components
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│ │ ├── CandleChart.tsx
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│ │ ├── SvgOverlay.tsx
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│ │ ├── Toolbox.tsx
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│ │ └── FileUpload.tsx
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│ └── lib/
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│ ├── db/
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│ │ ├── index.ts # Drizzle client
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│ │ ├── schema.ts # Table definitions
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│ │ └── migrate.ts # Migration runner
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│ └── utils.ts # Utility functions
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├── data/ # SQLite database directory
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├── drizzle/ # Migration files
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├── DEPLOYMENT.md # Deployment instructions
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└── README.md # This file
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```
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### Key Technical Decisions
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1. **lightweight-charts v4**: Stable API with good candlestick and marker support
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2. **SQLite with better-sqlite3**: Synchronous access, perfect for single-user local apps
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3. **SVG Overlay for Lines**: Maintains separate rendering layer from chart, easier coordinate management
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4. **Drizzle ORM**: Type-safe queries with minimal overhead
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5. **Next.js App Router**: Server-side API routes co-located with frontend code
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### Known Limitations
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- **Single User**: No authentication or concurrent access support
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- **No Undo**: Can only delete annotations, not undo placement
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- **Memory**: Large CSV files (100k+ rows) may cause slow uploads
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- **Line Snapping**: Lines don't snap to candles, free-form placement only
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## Troubleshooting
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See [DEPLOYMENT.md](./DEPLOYMENT.md) for detailed troubleshooting steps.
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|
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Common issues:
|
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- **better-sqlite3 binding errors**: Run `npm rebuild better-sqlite3`
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- **Port 3000 in use**: Use `PORT=3001 npm run dev`
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- **Database corruption**: Delete `data/candles.db` and restart
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## License
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ISC
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## Contributing
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||||
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This is a focused tool for a specific use case. For questions or issues, please open a GitHub issue.
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6
next-env.d.ts
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6
next-env.d.ts
vendored
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/// <reference types="next" />
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/// <reference types="next/image-types/global" />
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import "./.next/types/routes.d.ts";
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// NOTE: This file should not be edited
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// see https://nextjs.org/docs/app/api-reference/config/typescript for more information.
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7037
package-lock.json
generated
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7037
package-lock.json
generated
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@ -12,7 +12,6 @@
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"keywords": [],
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"author": "",
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"license": "ISC",
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"type": "commonjs",
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"dependencies": {
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"@types/better-sqlite3": "^7.6.13",
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"@types/node": "^25.2.3",
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@ -20,13 +19,12 @@
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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": "^5.1.0",
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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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"papaparse": "^5.5.3",
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|
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@ -34,10 +32,10 @@
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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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"tailwindcss": "^4.1.18",
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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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"drizzle-kit": "^0.31.9",
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"tailwindcss": "^3.4.19"
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}
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}
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@ -5,10 +5,11 @@ import { eq } from 'drizzle-orm';
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export async function DELETE(
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request: NextRequest,
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{ params }: { params: { id: string } }
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{ params }: { params: Promise<{ id: string }> }
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) {
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try {
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const id = parseInt(params.id);
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const { id: idParam } = await params;
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const id = parseInt(idParam);
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if (isNaN(id)) {
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return NextResponse.json(
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@ -3,7 +3,7 @@ import Papa from 'papaparse';
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import { db } from '@/lib/db';
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import { candles } from '@/lib/db/schema';
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export async function POST(request: NextRequest) {
|
||||
export async function POST(request: NextRequest): Promise<NextResponse> {
|
||||
try {
|
||||
const formData = await request.formData();
|
||||
const file = formData.get('file') as File;
|
||||
|
|
@ -17,7 +17,7 @@ export async function POST(request: NextRequest) {
|
|||
|
||||
const text = await file.text();
|
||||
|
||||
return new Promise((resolve) => {
|
||||
return new Promise<NextResponse>((resolve) => {
|
||||
Papa.parse(text, {
|
||||
header: true,
|
||||
dynamicTyping: true,
|
||||
|
|
@ -115,7 +115,7 @@ export async function POST(request: NextRequest) {
|
|||
);
|
||||
}
|
||||
},
|
||||
error: (error) => {
|
||||
error: (error: any) => {
|
||||
resolve(
|
||||
NextResponse.json(
|
||||
{ error: `CSV parsing error: ${error.message}` },
|
||||
|
|
|
|||
|
|
@ -1,19 +1,26 @@
|
|||
'use client';
|
||||
|
||||
import { useState } from 'react';
|
||||
import { useState, useRef } from 'react';
|
||||
import Toolbox, { Tool } from '@/components/Toolbox';
|
||||
import FileUpload from '@/components/FileUpload';
|
||||
import CandleChart, { CandleChartHandle } from '@/components/CandleChart';
|
||||
|
||||
export default function Home() {
|
||||
const [activeTool, setActiveTool] = useState<Tool>(null);
|
||||
const chartRef = useRef<CandleChartHandle>(null);
|
||||
|
||||
const handleExport = () => {
|
||||
window.location.href = '/api/export';
|
||||
};
|
||||
|
||||
const handleUploadSuccess = () => {
|
||||
// TODO: Trigger chart refresh
|
||||
console.log('Upload successful - refresh chart');
|
||||
// Refresh chart data after successful upload
|
||||
chartRef.current?.refreshData();
|
||||
};
|
||||
|
||||
const handleAnnotationChange = () => {
|
||||
// Refresh chart when annotations change
|
||||
chartRef.current?.refreshData();
|
||||
};
|
||||
|
||||
return (
|
||||
|
|
@ -34,11 +41,12 @@ export default function Home() {
|
|||
</aside>
|
||||
|
||||
{/* Main chart area */}
|
||||
<main className="flex-1 flex items-center justify-center bg-background">
|
||||
<div className="text-muted-foreground text-center">
|
||||
<p className="text-lg">Upload a CSV file to view the candlestick chart</p>
|
||||
<p className="text-sm mt-2">CSV format: time, open, high, low, close</p>
|
||||
</div>
|
||||
<main className="flex-1 relative">
|
||||
<CandleChart
|
||||
ref={chartRef}
|
||||
activeTool={activeTool}
|
||||
onAnnotationChange={handleAnnotationChange}
|
||||
/>
|
||||
</main>
|
||||
</div>
|
||||
);
|
||||
|
|
|
|||
284
src/components/CandleChart.tsx
Normal file
284
src/components/CandleChart.tsx
Normal file
|
|
@ -0,0 +1,284 @@
|
|||
'use client';
|
||||
|
||||
import { useEffect, useRef, useState, useImperativeHandle, forwardRef } from 'react';
|
||||
import { createChart, IChartApi, ISeriesApi, CandlestickData, Time } from 'lightweight-charts';
|
||||
import SvgOverlay from './SvgOverlay';
|
||||
|
||||
interface Candle {
|
||||
time: number;
|
||||
open: number;
|
||||
high: number;
|
||||
low: number;
|
||||
close: number;
|
||||
}
|
||||
|
||||
interface Annotation {
|
||||
id: number;
|
||||
timestamp: number;
|
||||
label_type: string;
|
||||
geometry: {
|
||||
startTime?: number;
|
||||
startPrice?: number;
|
||||
endTime?: number;
|
||||
endPrice?: number;
|
||||
} | null;
|
||||
created_at: number;
|
||||
}
|
||||
|
||||
interface CandleChartProps {
|
||||
activeTool: string | null;
|
||||
onAnnotationChange?: () => void;
|
||||
}
|
||||
|
||||
export interface CandleChartHandle {
|
||||
refreshData: () => Promise<void>;
|
||||
}
|
||||
|
||||
const CandleChart = forwardRef<CandleChartHandle, CandleChartProps>(
|
||||
({ activeTool, onAnnotationChange }, ref) => {
|
||||
const chartContainerRef = useRef<HTMLDivElement>(null);
|
||||
const chartRef = useRef<IChartApi | null>(null);
|
||||
const seriesRef = useRef<ISeriesApi<'Candlestick'> | null>(null);
|
||||
const [candles, setCandles] = useState<Candle[]>([]);
|
||||
const [annotations, setAnnotations] = useState<Annotation[]>([]);
|
||||
const [isEmpty, setIsEmpty] = useState(true);
|
||||
|
||||
// Fetch candles from API
|
||||
const fetchCandles = async () => {
|
||||
try {
|
||||
const response = await fetch('/api/candles');
|
||||
const data = await response.json();
|
||||
setCandles(data);
|
||||
setIsEmpty(data.length === 0);
|
||||
return data;
|
||||
} catch (error) {
|
||||
console.error('Failed to fetch candles:', error);
|
||||
return [];
|
||||
}
|
||||
};
|
||||
|
||||
// Fetch annotations from API
|
||||
const fetchAnnotations = async () => {
|
||||
try {
|
||||
const response = await fetch('/api/annotations');
|
||||
const data = await response.json();
|
||||
setAnnotations(data);
|
||||
return data;
|
||||
} catch (error) {
|
||||
console.error('Failed to fetch annotations:', error);
|
||||
return [];
|
||||
}
|
||||
};
|
||||
|
||||
// Expose refresh method to parent
|
||||
useImperativeHandle(ref, () => ({
|
||||
refreshData: async () => {
|
||||
await fetchCandles();
|
||||
await fetchAnnotations();
|
||||
},
|
||||
}));
|
||||
|
||||
// Initialize chart
|
||||
useEffect(() => {
|
||||
if (!chartContainerRef.current || isEmpty) return;
|
||||
|
||||
const chart = createChart(chartContainerRef.current, {
|
||||
width: chartContainerRef.current.clientWidth,
|
||||
height: chartContainerRef.current.clientHeight,
|
||||
layout: {
|
||||
background: { color: '#0f172a' }, // Slate-900
|
||||
textColor: '#e2e8f0', // Slate-200
|
||||
},
|
||||
grid: {
|
||||
vertLines: { color: '#1e293b' }, // Subtle grid
|
||||
horzLines: { color: '#1e293b' },
|
||||
},
|
||||
crosshair: {
|
||||
mode: 1,
|
||||
},
|
||||
timeScale: {
|
||||
timeVisible: true,
|
||||
secondsVisible: false,
|
||||
borderColor: '#334155',
|
||||
},
|
||||
rightPriceScale: {
|
||||
borderColor: '#334155',
|
||||
},
|
||||
});
|
||||
|
||||
const candlestickSeries = chart.addCandlestickSeries({
|
||||
upColor: '#22c55e', // Green
|
||||
downColor: '#ef4444', // Red
|
||||
borderVisible: false,
|
||||
wickUpColor: '#22c55e',
|
||||
wickDownColor: '#ef4444',
|
||||
});
|
||||
|
||||
chartRef.current = chart;
|
||||
seriesRef.current = candlestickSeries;
|
||||
|
||||
// Handle resize
|
||||
const resizeObserver = new ResizeObserver((entries) => {
|
||||
if (entries.length === 0 || !chartContainerRef.current) return;
|
||||
const { width, height } = entries[0].contentRect;
|
||||
chart.applyOptions({ width, height });
|
||||
});
|
||||
|
||||
resizeObserver.observe(chartContainerRef.current);
|
||||
|
||||
return () => {
|
||||
resizeObserver.disconnect();
|
||||
chart.remove();
|
||||
};
|
||||
}, [isEmpty]);
|
||||
|
||||
// Load candle data into chart
|
||||
useEffect(() => {
|
||||
if (!seriesRef.current || candles.length === 0) return;
|
||||
|
||||
const chartData: CandlestickData[] = candles.map((candle) => ({
|
||||
time: candle.time as Time,
|
||||
open: candle.open,
|
||||
high: candle.high,
|
||||
low: candle.low,
|
||||
close: candle.close,
|
||||
}));
|
||||
|
||||
seriesRef.current.setData(chartData);
|
||||
}, [candles]);
|
||||
|
||||
// Update markers from annotations
|
||||
useEffect(() => {
|
||||
if (!seriesRef.current) return;
|
||||
|
||||
const markerAnnotations = annotations.filter(
|
||||
(a) => a.label_type === 'break_up' || a.label_type === 'break_down'
|
||||
);
|
||||
|
||||
const markers = markerAnnotations.map((annotation) => ({
|
||||
time: annotation.timestamp as Time,
|
||||
position: annotation.label_type === 'break_up' ? ('belowBar' as const) : ('aboveBar' as const),
|
||||
color: annotation.label_type === 'break_up' ? '#22c55e' : '#ef4444',
|
||||
shape: annotation.label_type === 'break_up' ? ('arrowUp' as const) : ('arrowDown' as const),
|
||||
text: annotation.label_type === 'break_up' ? 'Break Up' : 'Break Down',
|
||||
}));
|
||||
|
||||
seriesRef.current.setMarkers(markers);
|
||||
}, [annotations]);
|
||||
|
||||
// Handle chart clicks for annotation
|
||||
useEffect(() => {
|
||||
if (!chartRef.current || !seriesRef.current) return;
|
||||
|
||||
const handleClick = async (param: any) => {
|
||||
if (!param.point || !activeTool) return;
|
||||
|
||||
const timeCoordinate = param.point.x;
|
||||
const priceCoordinate = param.point.y;
|
||||
|
||||
const time = chartRef.current!.timeScale().coordinateToTime(timeCoordinate);
|
||||
const price = seriesRef.current!.coordinateToPrice(priceCoordinate);
|
||||
|
||||
if (time === null || price === null) return;
|
||||
|
||||
// For break_up and break_down, snap to nearest candle
|
||||
if (activeTool === 'break_up' || activeTool === 'break_down') {
|
||||
const timestamp = typeof time === 'string' ? Date.parse(time) / 1000 : (time as number);
|
||||
|
||||
// Find nearest candle
|
||||
const nearestCandle = candles.reduce((prev, curr) => {
|
||||
return Math.abs(curr.time - timestamp) < Math.abs(prev.time - timestamp) ? curr : prev;
|
||||
}, candles[0]);
|
||||
|
||||
if (!nearestCandle) return;
|
||||
|
||||
// Create annotation
|
||||
try {
|
||||
const response = await fetch('/api/annotations', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({
|
||||
timestamp: nearestCandle.time,
|
||||
label_type: activeTool,
|
||||
}),
|
||||
});
|
||||
|
||||
if (response.ok) {
|
||||
await fetchAnnotations();
|
||||
onAnnotationChange?.();
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Failed to create annotation:', error);
|
||||
}
|
||||
}
|
||||
|
||||
// For delete tool, find and delete marker at clicked position
|
||||
if (activeTool === 'delete') {
|
||||
const timestamp = typeof time === 'string' ? Date.parse(time) / 1000 : (time as number);
|
||||
|
||||
// Find annotation at this timestamp (within tolerance)
|
||||
const tolerance = 60; // 60 seconds tolerance
|
||||
const annotation = annotations.find(
|
||||
(a) =>
|
||||
(a.label_type === 'break_up' || a.label_type === 'break_down') &&
|
||||
Math.abs(a.timestamp - timestamp) < tolerance
|
||||
);
|
||||
|
||||
if (annotation) {
|
||||
try {
|
||||
const response = await fetch(`/api/annotations/${annotation.id}`, {
|
||||
method: 'DELETE',
|
||||
});
|
||||
|
||||
if (response.ok) {
|
||||
await fetchAnnotations();
|
||||
onAnnotationChange?.();
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Failed to delete annotation:', error);
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
chartRef.current.subscribeClick(handleClick);
|
||||
|
||||
return () => {
|
||||
chartRef.current?.unsubscribeClick(handleClick);
|
||||
};
|
||||
}, [activeTool, candles, annotations, onAnnotationChange]);
|
||||
|
||||
// Fetch data on mount
|
||||
useEffect(() => {
|
||||
fetchCandles();
|
||||
fetchAnnotations();
|
||||
}, []);
|
||||
|
||||
if (isEmpty) {
|
||||
return (
|
||||
<div className="flex-1 flex items-center justify-center bg-background">
|
||||
<div className="text-muted-foreground text-center">
|
||||
<p className="text-lg">Upload a CSV file to view the candlestick chart</p>
|
||||
<p className="text-sm mt-2">CSV format: time, open, high, low, close</p>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="flex-1 relative">
|
||||
<div ref={chartContainerRef} className="absolute inset-0" />
|
||||
<SvgOverlay
|
||||
chart={chartRef.current}
|
||||
series={seriesRef.current}
|
||||
activeTool={activeTool}
|
||||
onAnnotationChange={onAnnotationChange}
|
||||
/>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
);
|
||||
|
||||
CandleChart.displayName = 'CandleChart';
|
||||
|
||||
export default CandleChart;
|
||||
357
src/components/SvgOverlay.tsx
Normal file
357
src/components/SvgOverlay.tsx
Normal file
|
|
@ -0,0 +1,357 @@
|
|||
'use client';
|
||||
|
||||
import { useEffect, useState, useRef } from 'react';
|
||||
import { IChartApi, ISeriesApi } from 'lightweight-charts';
|
||||
|
||||
interface Annotation {
|
||||
id: number;
|
||||
timestamp: number;
|
||||
label_type: string;
|
||||
geometry: {
|
||||
startTime?: number;
|
||||
startPrice?: number;
|
||||
endTime?: number;
|
||||
endPrice?: number;
|
||||
} | null;
|
||||
created_at: number;
|
||||
}
|
||||
|
||||
interface SvgOverlayProps {
|
||||
chart: IChartApi | null;
|
||||
series: ISeriesApi<'Candlestick'> | null;
|
||||
activeTool: string | null;
|
||||
onAnnotationChange?: () => void;
|
||||
}
|
||||
|
||||
interface Point {
|
||||
time: number;
|
||||
price: number;
|
||||
}
|
||||
|
||||
export default function SvgOverlay({
|
||||
chart,
|
||||
series,
|
||||
activeTool,
|
||||
onAnnotationChange,
|
||||
}: SvgOverlayProps) {
|
||||
const svgRef = useRef<SVGSVGElement>(null);
|
||||
const [dimensions, setDimensions] = useState({ width: 0, height: 0 });
|
||||
const [annotations, setAnnotations] = useState<Annotation[]>([]);
|
||||
const [drawingLine, setDrawingLine] = useState<{ start: Point; current: Point } | null>(null);
|
||||
const [mousePosition, setMousePosition] = useState<{ x: number; y: number } | null>(null);
|
||||
|
||||
// Fetch annotations
|
||||
const fetchAnnotations = async () => {
|
||||
try {
|
||||
const response = await fetch('/api/annotations');
|
||||
const data = await response.json();
|
||||
setAnnotations(data);
|
||||
} catch (error) {
|
||||
console.error('Failed to fetch annotations:', error);
|
||||
}
|
||||
};
|
||||
|
||||
// Update dimensions when chart resizes
|
||||
useEffect(() => {
|
||||
if (!chart) return;
|
||||
|
||||
const updateDimensions = () => {
|
||||
const container = chart.chartElement();
|
||||
if (container) {
|
||||
setDimensions({
|
||||
width: container.clientWidth,
|
||||
height: container.clientHeight,
|
||||
});
|
||||
}
|
||||
};
|
||||
|
||||
updateDimensions();
|
||||
|
||||
const resizeObserver = new ResizeObserver(updateDimensions);
|
||||
const container = chart.chartElement();
|
||||
if (container) {
|
||||
resizeObserver.observe(container);
|
||||
}
|
||||
|
||||
return () => {
|
||||
resizeObserver.disconnect();
|
||||
};
|
||||
}, [chart]);
|
||||
|
||||
// Subscribe to visible range changes (zoom/pan)
|
||||
useEffect(() => {
|
||||
if (!chart) return;
|
||||
|
||||
const handleVisibleRangeChange = () => {
|
||||
// Force re-render by updating state
|
||||
setAnnotations((prev) => [...prev]);
|
||||
};
|
||||
|
||||
chart.timeScale().subscribeVisibleTimeRangeChange(handleVisibleRangeChange);
|
||||
|
||||
return () => {
|
||||
chart.timeScale().unsubscribeVisibleTimeRangeChange(handleVisibleRangeChange);
|
||||
};
|
||||
}, [chart]);
|
||||
|
||||
// Fetch annotations on mount and when notified
|
||||
useEffect(() => {
|
||||
fetchAnnotations();
|
||||
}, [onAnnotationChange]);
|
||||
|
||||
// Convert data coordinates to pixel coordinates
|
||||
const dataToPixel = (time: number, price: number): { x: number; y: number } | null => {
|
||||
if (!chart || !series) return null;
|
||||
|
||||
const x = chart.timeScale().timeToCoordinate(time as any);
|
||||
const y = series.priceToCoordinate(price);
|
||||
|
||||
if (x === null || y === null) return null;
|
||||
|
||||
return { x, y };
|
||||
};
|
||||
|
||||
// Convert pixel coordinates to data coordinates
|
||||
const pixelToData = (x: number, y: number): Point | null => {
|
||||
if (!chart || !series) return null;
|
||||
|
||||
const time = chart.timeScale().coordinateToTime(x);
|
||||
const price = series.coordinateToPrice(y);
|
||||
|
||||
if (time === null || price === null) return null;
|
||||
|
||||
return {
|
||||
time: typeof time === 'string' ? Date.parse(time) / 1000 : (time as number),
|
||||
price,
|
||||
};
|
||||
};
|
||||
|
||||
// Handle mouse move
|
||||
const handleMouseMove = (e: React.MouseEvent<SVGSVGElement>) => {
|
||||
if (!svgRef.current) return;
|
||||
|
||||
const rect = svgRef.current.getBoundingClientRect();
|
||||
const x = e.clientX - rect.left;
|
||||
const y = e.clientY - rect.top;
|
||||
|
||||
setMousePosition({ x, y });
|
||||
|
||||
if (drawingLine && activeTool === 'line') {
|
||||
const dataPoint = pixelToData(x, y);
|
||||
if (dataPoint) {
|
||||
setDrawingLine((prev) => (prev ? { ...prev, current: dataPoint } : null));
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
// Handle click
|
||||
const handleClick = async (e: React.MouseEvent<SVGSVGElement>) => {
|
||||
if (!svgRef.current || !chart || !series) return;
|
||||
|
||||
const rect = svgRef.current.getBoundingClientRect();
|
||||
const x = e.clientX - rect.left;
|
||||
const y = e.clientY - rect.top;
|
||||
|
||||
const dataPoint = pixelToData(x, y);
|
||||
if (!dataPoint) return;
|
||||
|
||||
// Line drawing mode
|
||||
if (activeTool === 'line') {
|
||||
if (!drawingLine) {
|
||||
// First click - start line
|
||||
setDrawingLine({
|
||||
start: dataPoint,
|
||||
current: dataPoint,
|
||||
});
|
||||
} else {
|
||||
// Second click - save line
|
||||
try {
|
||||
const response = await fetch('/api/annotations', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({
|
||||
timestamp: drawingLine.start.time,
|
||||
label_type: 'line',
|
||||
geometry: {
|
||||
startTime: drawingLine.start.time,
|
||||
startPrice: drawingLine.start.price,
|
||||
endTime: dataPoint.time,
|
||||
endPrice: dataPoint.price,
|
||||
},
|
||||
}),
|
||||
});
|
||||
|
||||
if (response.ok) {
|
||||
await fetchAnnotations();
|
||||
onAnnotationChange?.();
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Failed to create line annotation:', error);
|
||||
}
|
||||
|
||||
setDrawingLine(null);
|
||||
}
|
||||
}
|
||||
|
||||
// Delete mode - delete line
|
||||
if (activeTool === 'delete') {
|
||||
// Find line annotation near click point
|
||||
const lineAnnotations = annotations.filter((a) => a.label_type === 'line' && a.geometry);
|
||||
|
||||
for (const annotation of lineAnnotations) {
|
||||
if (!annotation.geometry) continue;
|
||||
|
||||
const start = dataToPixel(
|
||||
annotation.geometry.startTime!,
|
||||
annotation.geometry.startPrice!
|
||||
);
|
||||
const end = dataToPixel(annotation.geometry.endTime!, annotation.geometry.endPrice!);
|
||||
|
||||
if (!start || !end) continue;
|
||||
|
||||
// Calculate distance from point to line segment
|
||||
const distance = distanceToLineSegment({ x, y }, start, end);
|
||||
|
||||
if (distance < 10) {
|
||||
// Within 10 pixels
|
||||
try {
|
||||
const response = await fetch(`/api/annotations/${annotation.id}`, {
|
||||
method: 'DELETE',
|
||||
});
|
||||
|
||||
if (response.ok) {
|
||||
await fetchAnnotations();
|
||||
onAnnotationChange?.();
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Failed to delete annotation:', error);
|
||||
}
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
// Calculate distance from point to line segment
|
||||
const distanceToLineSegment = (
|
||||
point: { x: number; y: number },
|
||||
lineStart: { x: number; y: number },
|
||||
lineEnd: { x: number; y: number }
|
||||
): number => {
|
||||
const A = point.x - lineStart.x;
|
||||
const B = point.y - lineStart.y;
|
||||
const C = lineEnd.x - lineStart.x;
|
||||
const D = lineEnd.y - lineStart.y;
|
||||
|
||||
const dot = A * C + B * D;
|
||||
const lenSq = C * C + D * D;
|
||||
let param = -1;
|
||||
|
||||
if (lenSq !== 0) param = dot / lenSq;
|
||||
|
||||
let xx, yy;
|
||||
|
||||
if (param < 0) {
|
||||
xx = lineStart.x;
|
||||
yy = lineStart.y;
|
||||
} else if (param > 1) {
|
||||
xx = lineEnd.x;
|
||||
yy = lineEnd.y;
|
||||
} else {
|
||||
xx = lineStart.x + param * C;
|
||||
yy = lineStart.y + param * D;
|
||||
}
|
||||
|
||||
const dx = point.x - xx;
|
||||
const dy = point.y - yy;
|
||||
|
||||
return Math.sqrt(dx * dx + dy * dy);
|
||||
};
|
||||
|
||||
// Handle Escape key to cancel line drawing
|
||||
useEffect(() => {
|
||||
const handleKeyDown = (e: KeyboardEvent) => {
|
||||
if (e.key === 'Escape' && drawingLine) {
|
||||
setDrawingLine(null);
|
||||
}
|
||||
};
|
||||
|
||||
window.addEventListener('keydown', handleKeyDown);
|
||||
return () => window.removeEventListener('keydown', handleKeyDown);
|
||||
}, [drawingLine]);
|
||||
|
||||
// Render line annotations
|
||||
const renderLines = () => {
|
||||
const lineAnnotations = annotations.filter((a) => a.label_type === 'line' && a.geometry);
|
||||
|
||||
return lineAnnotations.map((annotation) => {
|
||||
if (!annotation.geometry) return null;
|
||||
|
||||
const start = dataToPixel(
|
||||
annotation.geometry.startTime!,
|
||||
annotation.geometry.startPrice!
|
||||
);
|
||||
const end = dataToPixel(annotation.geometry.endTime!, annotation.geometry.endPrice!);
|
||||
|
||||
if (!start || !end) return null;
|
||||
|
||||
return (
|
||||
<line
|
||||
key={annotation.id}
|
||||
x1={start.x}
|
||||
y1={start.y}
|
||||
x2={end.x}
|
||||
y2={end.y}
|
||||
stroke="#3b82f6"
|
||||
strokeWidth="2"
|
||||
style={{ cursor: activeTool === 'delete' ? 'pointer' : 'default' }}
|
||||
/>
|
||||
);
|
||||
});
|
||||
};
|
||||
|
||||
// Render preview line while drawing
|
||||
const renderPreviewLine = () => {
|
||||
if (!drawingLine) return null;
|
||||
|
||||
const start = dataToPixel(drawingLine.start.time, drawingLine.start.price);
|
||||
const end = dataToPixel(drawingLine.current.time, drawingLine.current.price);
|
||||
|
||||
if (!start || !end) return null;
|
||||
|
||||
return (
|
||||
<line
|
||||
x1={start.x}
|
||||
y1={start.y}
|
||||
x2={end.x}
|
||||
y2={end.y}
|
||||
stroke="#3b82f6"
|
||||
strokeWidth="2"
|
||||
strokeDasharray="5,5"
|
||||
opacity="0.6"
|
||||
/>
|
||||
);
|
||||
};
|
||||
|
||||
if (!chart || !series) return null;
|
||||
|
||||
return (
|
||||
<svg
|
||||
ref={svgRef}
|
||||
width={dimensions.width}
|
||||
height={dimensions.height}
|
||||
style={{
|
||||
position: 'absolute',
|
||||
top: 0,
|
||||
left: 0,
|
||||
pointerEvents: activeTool === 'line' || activeTool === 'delete' ? 'auto' : 'none',
|
||||
cursor: activeTool === 'line' ? 'crosshair' : activeTool === 'delete' ? 'pointer' : 'default',
|
||||
}}
|
||||
onMouseMove={handleMouseMove}
|
||||
onClick={handleClick}
|
||||
>
|
||||
{renderLines()}
|
||||
{renderPreviewLine()}
|
||||
</svg>
|
||||
);
|
||||
}
|
||||
|
|
@ -1,6 +1,10 @@
|
|||
{
|
||||
"compilerOptions": {
|
||||
"lib": ["dom", "dom.iterable", "esnext"],
|
||||
"lib": [
|
||||
"dom",
|
||||
"dom.iterable",
|
||||
"esnext"
|
||||
],
|
||||
"allowJs": true,
|
||||
"skipLibCheck": true,
|
||||
"strict": true,
|
||||
|
|
@ -10,7 +14,7 @@
|
|||
"moduleResolution": "bundler",
|
||||
"resolveJsonModule": true,
|
||||
"isolatedModules": true,
|
||||
"jsx": "preserve",
|
||||
"jsx": "react-jsx",
|
||||
"incremental": true,
|
||||
"plugins": [
|
||||
{
|
||||
|
|
@ -18,9 +22,20 @@
|
|||
}
|
||||
],
|
||||
"paths": {
|
||||
"@/*": ["./src/*"]
|
||||
}
|
||||
"@/*": [
|
||||
"./src/*"
|
||||
]
|
||||
},
|
||||
"target": "ES2017"
|
||||
},
|
||||
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
|
||||
"exclude": ["node_modules"]
|
||||
"include": [
|
||||
"next-env.d.ts",
|
||||
"**/*.ts",
|
||||
"**/*.tsx",
|
||||
".next/types/**/*.ts",
|
||||
".next/dev/types/**/*.ts"
|
||||
],
|
||||
"exclude": [
|
||||
"node_modules"
|
||||
]
|
||||
}
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue