Files
trading_bot_v3/.github/copilot-instructions.instructions.md
mindesbunister f9603fddd3 docs: Comprehensive documentation update with multi-timeframe lessons
- Updated README.md with automation features and Docker troubleshooting
- Enhanced copilot-instructions.md with multi-timeframe patterns and Docker workflows
- Created DEVELOPMENT_GUIDE.md with comprehensive implementation patterns
- Added troubleshooting section for volume mount issues
- Documented fresh implementation approach vs file editing
- Included performance optimization tips and future roadmap
- Added testing strategies and common pitfall solutions

Key knowledge preserved:
- Multi-timeframe UI patterns and state management
- Docker Compose v2 syntax and volume mount troubleshooting
- Fresh file creation approach for problematic edits
- Complete automation page implementation examples
2025-07-23 10:37:10 +02:00

305 lines
12 KiB
Markdown

# AI-Powered Trading Bot Dashboard
This is a Next.js 15 App Router application with TypeScript, Tailwind CSS, and API routes. It's a production-ready trading bot with AI analysis, automated screenshot capture, and real-time trading execution via Drift Protocol and Jupiter DEX.
**Prerequisites:**
- Docker and Docker Compose v2 (uses `docker compose` command syntax)
- All development must be done inside Docker containers for browser automation compatibility
## Core Architecture
### Dual-Session Screenshot Automation
- **AI Layout**: `Z1TzpUrf` - RSI (top), EMAs, MACD (bottom)
- **DIY Layout**: `vWVvjLhP` - Stochastic RSI (top), VWAP, OBV (bottom)
- Parallel browser sessions for multi-layout capture in `lib/enhanced-screenshot.ts`
- TradingView automation with session persistence in `lib/tradingview-automation.ts`
- Session data stored in `.tradingview-session/` volume mount to avoid captchas
### AI Analysis Pipeline
- OpenAI GPT-4o mini for cost-effective chart analysis (~$0.006 per analysis)
- Multi-layout comparison and consensus detection in `lib/ai-analysis.ts`
- Professional trading setups with exact entry/exit levels and risk management
- Layout-specific indicator analysis (RSI vs Stochastic RSI, MACD vs OBV)
### Trading Integration
- **Drift Protocol**: Perpetual futures trading via `@drift-labs/sdk`
- **Jupiter DEX**: Spot trading on Solana
- Position management and P&L tracking in `lib/drift-trading-final.ts`
- Real-time account balance and collateral monitoring
## Critical Development Patterns
### Docker Container Development (Required)
**All development happens inside Docker containers** using Docker Compose v2. Browser automation requires specific system dependencies that are only available in the containerized environment:
**IMPORTANT: Use Docker Compose v2 syntax** - All commands use `docker compose` (with space) instead of `docker-compose` (with hyphen).
```bash
# Development environment - Docker Compose v2 dev setup
npm run docker:dev # Port 9001:3000, hot reload, debug mode
# Direct v2 command: docker compose -f docker-compose.dev.yml up --build
# Production environment
npm run docker:up # Port 9000:3000, optimized build
# Direct v2 command: docker compose -f docker-compose.prod.yml up --build
# Debugging commands
npm run docker:logs # View container logs
# Direct v2 command: docker compose -f docker-compose.dev.yml logs -f
npm run docker:exec # Shell access for debugging inside container
# Direct v2 command: docker compose -f docker-compose.dev.yml exec app bash
```
**Port Configuration:**
- **Development**: External port `9001` → Internal port `3000` (http://localhost:9001)
- **Production**: External port `9000` → Internal port `3000` (http://localhost:9000)
### Docker Volume Mount Troubleshooting
**Common Issue**: File edits not reflecting in container due to volume mount sync issues.
**Solutions:**
1. **Fresh Implementation Approach**: When modifying existing files fails, create new files (e.g., `page-v2.js`) instead of editing corrupted files
2. **Container Restart**: `docker compose -f docker-compose.dev.yml restart app`
3. **Full Rebuild**: `docker compose -f docker-compose.dev.yml down && docker compose -f docker-compose.dev.yml up --build`
4. **Manual Copy**: Use `docker cp` to copy files directly into container for immediate testing
5. **Avoid sed/awk**: Direct text manipulation commands often corrupt JSX syntax - prefer file replacement
**Volume Mount Verification:**
```bash
# Test volume mount sync
echo "test-$(date)" > test-volume-mount.txt
docker compose -f docker-compose.dev.yml exec app cat test-volume-mount.txt
```
### Multi-Timeframe Feature Copy Pattern
When copying multi-timeframe functionality between pages:
**Step 1: Identify Source Implementation**
```bash
# Search for existing timeframe patterns
grep -r "timeframes.*=.*\[" app/ --include="*.js" --include="*.jsx"
grep -r "selectedTimeframes" app/ --include="*.js" --include="*.jsx"
```
**Step 2: Copy Core State Management**
```javascript
// Always include these state hooks
const [selectedTimeframes, setSelectedTimeframes] = useState(['1h', '4h']);
const [balance, setBalance] = useState({ balance: 0, collateral: 0 });
// Essential toggle function
const toggleTimeframe = (tf) => {
setSelectedTimeframes(prev =>
prev.includes(tf) ? prev.filter(t => t !== tf) : [...prev, tf]
);
};
```
**Step 3: Copy UI Components**
- Timeframe checkbox grid
- Preset buttons (Scalping, Day Trading, Swing Trading)
- Auto-sizing position calculator
- Formatted balance display
**Step 4: Avoid Docker Issues**
- Create new file instead of editing existing if volume mount issues persist
- Use fresh filename like `page-v2.js` or `automation-v2/page.js`
- Test in container before committing
### API Route Structure
All core functionality exposed via Next.js API routes:
```typescript
// Enhanced screenshot with progress tracking
POST /api/enhanced-screenshot
{
symbol: "SOLUSD",
timeframe: "240",
layouts: ["ai", "diy"],
analyze: true
}
// Returns: { screenshots, analysis, sessionId }
// Drift trading endpoints
GET /api/balance # Account balance/collateral
POST /api/trading # Execute trades
GET /api/status # Trading status
```
### Progress Tracking System
Real-time operation tracking for long-running tasks:
- `lib/progress-tracker.ts` manages EventEmitter-based progress
- SessionId-based tracking for multi-step operations
- Steps: init → auth → navigation → loading → capture → analysis
- Stream endpoint: `/api/progress/[sessionId]/stream`
### TradingView Automation Patterns
Critical timeframe handling to avoid TradingView confusion:
```typescript
// ALWAYS use minute values first, then alternatives
'4h': ['240', '240m', '4h', '4H'] // 240 minutes FIRST
'1h': ['60', '60m', '1h', '1H'] // 60 minutes FIRST
'15m': ['15', '15m']
```
Layout URL mappings for direct navigation:
```typescript
const LAYOUT_URLS = {
'ai': 'Z1TzpUrf', // RSI + EMAs + MACD
'diy': 'vWVvjLhP' // Stochastic RSI + VWAP + OBV
}
```
### Component Architecture
- `app/layout.js` - Root layout with gradient styling and navigation
- `components/Navigation.tsx` - Multi-page navigation system
- `components/AIAnalysisPanel.tsx` - Multi-timeframe analysis interface
- `components/Dashboard.tsx` - Main trading dashboard with real Drift positions
- `components/AdvancedTradingPanel.tsx` - Drift Protocol trading interface
### Page Structure & Multi-Timeframe Implementation
- `app/analysis/page.js` - Original analysis page with multi-timeframe functionality
- `app/automation/page.js` - Original automation page (legacy, may have issues)
- `app/automation-v2/page.js` - **NEW**: Clean automation page with full multi-timeframe support
- `app/automation/page-v2.js` - Alternative implementation, same functionality as automation-v2
**Multi-Timeframe Architecture Pattern:**
```javascript
// Standard timeframes array - use this exact format
const timeframes = ['5m', '15m', '30m', '1h', '2h', '4h', '1d'];
// State management for multi-timeframe selection
const [selectedTimeframes, setSelectedTimeframes] = useState(['1h', '4h']);
// Toggle function with proper array handling
const toggleTimeframe = (tf) => {
setSelectedTimeframes(prev =>
prev.includes(tf)
? prev.filter(t => t !== tf) // Remove if selected
: [...prev, tf] // Add if not selected
);
};
// Preset configurations for trading styles
const presets = {
scalping: ['5m', '15m', '1h'],
day: ['1h', '4h', '1d'],
swing: ['4h', '1d']
};
```
**UI Pattern for Timeframe Selection:**
```jsx
// Checkbox grid layout with visual feedback
<div className="grid grid-cols-4 gap-2 mb-4">
{timeframes.map(tf => (
<button
key={tf}
onClick={() => toggleTimeframe(tf)}
className={`p-2 rounded border transition-all ${
selectedTimeframes.includes(tf)
? 'bg-blue-600 border-blue-500 text-white'
: 'bg-gray-700 border-gray-600 text-gray-300 hover:bg-gray-600'
}`}
>
{tf}
</button>
))}
</div>
// Preset buttons for quick selection
<div className="flex gap-2 mb-4">
{Object.entries(presets).map(([name, tfs]) => (
<button
key={name}
onClick={() => setSelectedTimeframes(tfs)}
className="px-3 py-1 bg-purple-600 hover:bg-purple-700 rounded text-sm"
>
{name.charAt(0).toUpperCase() + name.slice(1)}
</button>
))}
</div>
```
## Environment Variables
```bash
# AI Analysis (Required)
OPENAI_API_KEY=sk-... # OpenAI API key for chart analysis
# TradingView Automation (Required)
TRADINGVIEW_EMAIL= # TradingView account email
TRADINGVIEW_PASSWORD= # TradingView account password
# Trading Integration (Optional)
SOLANA_RPC_URL=https://api.mainnet-beta.solana.com
DRIFT_PRIVATE_KEY= # Base58 encoded Solana private key
SOLANA_PRIVATE_KEY= # JSON array format for Jupiter DEX
# Docker Environment Detection
DOCKER_ENV=true # Auto-set in containers
PUPPETEER_EXECUTABLE_PATH=/usr/bin/chromium
```
## Testing & Debugging Workflow
Test files follow specific patterns - use them to validate changes:
```bash
# Test dual-session screenshot capture
node test-enhanced-screenshot.js
# Test Docker environment (requires Docker Compose v2)
./test-docker-comprehensive.sh
# Test API endpoints directly
node test-analysis-api.js
# Test Drift trading integration
node test-drift-trading.js
```
Browser automation debugging:
- Screenshots automatically saved to `screenshots/` with timestamps
- Debug screenshots: `takeDebugScreenshot('prefix')`
- Session persistence prevents repeated logins/captchas
- Use `npm run docker:logs` to view real-time automation logs
- All Docker commands use v2 syntax: `docker compose` (not `docker-compose`)
## Code Style & Architecture Patterns
- **Client Components**: Use `"use client"` for state/effects, server components by default
- **Styling**: Tailwind with gradient backgrounds (`bg-gradient-to-br from-gray-900 via-blue-900 to-purple-900`)
- **Error Handling**: Detailed logging for browser automation with fallbacks
- **File Structure**: Mixed `.js`/`.tsx` - components in TypeScript, API routes in JavaScript
- **Database**: Prisma with SQLite (`DATABASE_URL=file:./prisma/dev.db`)
## Key Integration Points
- **Session Persistence**: `.tradingview-session/` directory volume-mounted
- **Screenshots**: `screenshots/` directory for chart captures
- **Progress Tracking**: EventEmitter-based real-time updates via SSE
- **Multi-Stage Docker**: Development vs production builds with browser optimization
- **CAPTCHA Handling**: Manual CAPTCHA mode with X11 forwarding (`ALLOW_MANUAL_CAPTCHA=true`)
## Development vs Production Modes
- **Development**: Port 9001:3000, hot reload, debug logging, headless: false option
- **Production**: Port 9000:3000, optimized build, minimal logging, always headless
### Git Branch Strategy (Required)
**Primary development workflow:**
- **`development` branch**: Use for all active development and feature work
- **`main` branch**: Stable, production-ready code only
- **Workflow**: Develop on `development` → test thoroughly → merge to `main` when stable
```bash
# Standard development workflow
git checkout development # Always start here
git pull origin development # Get latest changes
# Make your changes...
git add . && git commit -m "feat: description"
git push origin development
# Only merge to main when features are stable and tested and you have asked the user to merge to main
git checkout main
git merge development # When ready for production
git push origin main
```
When working with this codebase, prioritize Docker consistency, understand the dual-session architecture, and leverage the comprehensive test suite to validate changes.