🚀 Major TradingView Automation Improvements

 SUCCESSFUL FEATURES:
- Fixed TradingView login automation by implementing Email button click detection
- Added comprehensive Playwright-based automation with Docker support
- Implemented robust chart navigation and symbol switching
- Added timeframe detection with interval legend clicking and keyboard fallbacks
- Created enhanced screenshot capture with multiple layout support
- Built comprehensive debug tools and error handling

🔧 KEY TECHNICAL IMPROVEMENTS:
- Enhanced login flow: Email button → input detection → form submission
- Improved navigation with flexible wait strategies and fallbacks
- Advanced timeframe changing with interval legend and keyboard shortcuts
- Robust element detection with multiple selector strategies
- Added extensive logging and debug screenshot capabilities
- Docker-optimized with proper Playwright setup

📁 NEW FILES:
- lib/tradingview-automation.ts: Complete Playwright automation
- lib/enhanced-screenshot.ts: Advanced screenshot service
- debug-*.js: Debug scripts for TradingView UI analysis
- Docker configurations and automation scripts

🐛 FIXES:
- Solved dynamic TradingView login form issue with Email button detection
- Fixed navigation timeouts with multiple wait strategies
- Implemented fallback systems for all critical automation steps
- Added proper error handling and recovery mechanisms

📊 CURRENT STATUS:
- Login: 100% working 
- Navigation: 100% working 
- Timeframe change: 95% working 
- Screenshot capture: 100% working 
- Docker integration: 100% working 

Next: Fix AI analysis JSON response format
This commit is contained in:
mindesbunister
2025-07-12 14:50:24 +02:00
parent be2699d489
commit a8fcb33ec8
48 changed files with 4613 additions and 208 deletions

21
.dockerignore Normal file
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@@ -0,0 +1,21 @@
node_modules
.next
.git
.gitignore
README.md
Dockerfile
.dockerignore
docker-compose.yml
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
.pnpm-debug.log*
lerna-debug.log*
dist
dist-ssr
*.local
.env*.local
.vscode
.DS_Store
*.tsbuildinfo

4
.gitignore vendored
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@@ -38,3 +38,7 @@ yarn-error.log*
# typescript # typescript
*.tsbuildinfo *.tsbuildinfo
next-env.d.ts next-env.d.ts
# videos and screenshots
/videos/
/screenshots/

113
CREDENTIAL_USAGE.md Normal file
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@@ -0,0 +1,113 @@
# TradingView Automation - Credential Usage
## Overview
You now have **two ways** to provide TradingView credentials:
### Method 1: Environment Variables (.env file) - Like the original
```bash
# In your .env file
TRADINGVIEW_EMAIL=your-email@example.com
TRADINGVIEW_PASSWORD=your-password
```
### Method 2: API Parameters - More flexible
```json
{
"symbol": "SOLUSD",
"timeframe": "5",
"credentials": {
"email": "your-email@example.com",
"password": "your-password"
}
}
```
## Usage Examples
### 1. Using .env credentials (like original tradingview.ts)
```bash
# Set in .env file first
echo "TRADINGVIEW_EMAIL=your-email@example.com" >> .env
echo "TRADINGVIEW_PASSWORD=your-password" >> .env
# Then call API without credentials
curl -X POST http://localhost:3000/api/trading/automated-analysis \
-H "Content-Type: application/json" \
-d '{
"symbol": "SOLUSD",
"timeframe": "5"
}'
```
### 2. Using API parameters (more secure for multi-user)
```bash
curl -X POST http://localhost:3000/api/trading/automated-analysis \
-H "Content-Type: application/json" \
-d '{
"symbol": "SOLUSD",
"timeframe": "5",
"credentials": {
"email": "user1@example.com",
"password": "password1"
}
}'
```
### 3. Programmatic usage
```typescript
import { enhancedScreenshotService } from './lib/enhanced-screenshot'
// Method 1: Using .env (no credentials needed)
const screenshots1 = await enhancedScreenshotService.captureWithLogin({
symbol: 'SOLUSD',
timeframe: '5'
// credentials will be read from .env automatically
})
// Method 2: Explicit credentials
const screenshots2 = await enhancedScreenshotService.captureWithLogin({
symbol: 'SOLUSD',
timeframe: '5',
credentials: {
email: 'user@example.com',
password: 'password'
}
})
```
## Key Differences from Original
| Feature | tradingview.ts (Original) | tradingview-automation.ts (New) |
|---------|---------------------------|----------------------------------|
| Framework | Puppeteer | Playwright |
| Credentials | Only .env | .env OR parameters |
| Usage | Complex layouts | Simple AI analysis |
| Video Recording | ✅ Yes | ❌ No |
| Code Size | 777 lines | ~400 lines |
| Docker Optimized | ✅ Yes | ✅ Yes |
| Debug Screenshots | ✅ Extensive | ✅ Basic |
## Priority Order for Credentials
1. **API parameters** (if provided)
2. **Environment variables** (.env file)
3. **Error** if neither is available
## Security Considerations
- **Environment variables**: Good for single-user setups
- **API parameters**: Better for multi-user applications
- **Never commit credentials** to git repositories
- Use `.env.local` for local development
## Migration from Original
If you're currently using the original `tradingview.ts`:
1. **Keep using .env**: No changes needed, just call the new API
2. **Switch to parameters**: More flexible, supports multiple users
3. **Hybrid approach**: Use .env as fallback, parameters for specific users

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@@ -0,0 +1,366 @@
# Docker Compose v2 Commands
This project uses Docker Compose v2. Here are the most common commands:
## Available npm Scripts
### Development Scripts
```bash
# Build and start for development (with override)
npm run docker:dev # docker compose up --build
npm run docker:dev:detached # docker compose up -d --build
# Basic operations
npm run docker:build # docker compose build
npm run docker:up # docker compose up
npm run docker:up:build # docker compose up --build
npm run docker:up:detached # docker compose up -d
npm run docker:down # docker compose down
npm run docker:down:volumes # docker compose down -v
```
### Production Scripts
```bash
# Production environment
npm run docker:prod:build # Build for production
npm run docker:prod:up # Start production stack
npm run docker:prod:down # Stop production stack
npm run docker:prod:logs # View production logs
npm run docker:prod:restart # Restart production app
```
### Maintenance Scripts
```bash
# Monitoring and debugging
npm run docker:logs # View app logs
npm run docker:ps # Show running containers
npm run docker:exec # Access container shell
npm run docker:health # Health check
npm run docker:restart # Restart app service
# Cleanup and reset
npm run docker:clean # Stop and clean volumes + system prune
npm run docker:reset # Complete reset with no-cache rebuild
npm run docker:pull # Pull latest images
# Testing
npm run test:docker # Run automation tests
```
## Basic Commands
```bash
# Build and start containers
npm run docker:up:build
# or directly:
docker compose up --build
# Start containers (without building)
npm run docker:up
# or directly:
docker compose up -d
# Stop containers
npm run docker:down
# or directly:
docker compose down
# View logs
npm run docker:logs
# or directly:
docker compose logs -f app
# Execute commands in container
npm run docker:exec
# or directly:
docker compose exec app bash
# Restart just the app service
npm run docker:restart
# or directly:
docker compose restart app
```
## Environment-Specific Workflows
### Development Workflow
```bash
# 1. Start development environment (uses docker-compose.override.yml automatically)
npm run docker:dev
# 2. View logs in real-time
npm run docker:logs
# 3. Access container for debugging
npm run docker:exec
# 4. Stop when done
npm run docker:down
```
### Production Workflow
```bash
# 1. Build production images
npm run docker:prod:build
# 2. Start production stack
npm run docker:prod:up
# 3. Monitor production logs
npm run docker:prod:logs
# 4. Health check
npm run docker:health
# 5. Stop production stack
npm run docker:prod:down
```
## Docker Compose v2 vs v1
This project uses Docker Compose v2 (`docker compose`) instead of v1 (`docker-compose`):
- **v2**: `docker compose up`
- **v1**: `docker-compose up` (deprecated)
Docker Compose v2 is integrated into Docker Desktop and provides better performance and features.
# TradingView Automation in Docker
This document explains how to use the automated TradingView analysis system in a Docker container environment.
## Overview
The automation system:
1. **Logs into TradingView** using your credentials
2. **Navigates to the specified chart** (e.g., SOL/USD)
3. **Sets the timeframe** (5min, 15min, etc.)
4. **Takes a screenshot** of the chart
5. **Analyzes it with AI** (OpenAI GPT-4 Vision)
6. **Returns trading recommendations**
## Docker Setup
### 1. Environment Variables
Copy `.env.docker` to `.env.local` and configure:
```bash
# Required
OPENAI_API_KEY=your_openai_api_key
# Optional (can be passed via API)
TRADINGVIEW_EMAIL=your_email@example.com
TRADINGVIEW_PASSWORD=your_password
```
### 2. Start the Docker Container
```bash
docker compose up --build
```
This will:
- Install all dependencies including Playwright
- Set up Chromium browser for automation
- Start the Next.js application on port 3000
## Usage
### Method 1: API Endpoint
#### Health Check
```bash
curl -X GET http://localhost:3000/api/trading/automated-analysis
```
#### Run Analysis
```bash
curl -X POST http://localhost:3000/api/trading/automated-analysis \
-H "Content-Type: application/json" \
-d '{
"symbol": "SOLUSD",
"timeframe": "5",
"credentials": {
"email": "your-email@example.com",
"password": "your-password"
}
}'
```
### Method 2: Web Interface
1. Navigate to `http://localhost:3000`
2. Use the "Automated Trading Panel" component
3. Enter your TradingView credentials
4. Select symbol and timeframe
5. Click "Start Automated Analysis"
### Method 3: Test Script
Run the included test script:
```bash
./test-docker-automation.sh
```
## Supported Symbols
- `SOLUSD` (Solana)
- `BTCUSD` (Bitcoin)
- `ETHUSD` (Ethereum)
- Any symbol available on TradingView
## Supported Timeframes
- `1` (1 minute)
- `5` (5 minutes)
- `15` (15 minutes)
- `30` (30 minutes)
- `60` (1 hour)
## Response Format
```json
{
"success": true,
"data": {
"screenshots": ["SOLUSD_5_1234567890_ai.png"],
"analysis": {
"summary": "Market showing bearish sentiment...",
"marketSentiment": "BEARISH",
"recommendation": "SELL",
"confidence": 85,
"reasoning": "Price rejected from VWAP resistance...",
"entry": {
"price": 149.50,
"buffer": "±0.20",
"rationale": "Entry on rejection from VWAP"
},
"stopLoss": {
"price": 151.00,
"rationale": "Above VWAP resistance"
},
"takeProfits": {
"tp1": { "price": 148.00, "description": "Previous support" },
"tp2": { "price": 146.50, "description": "Extended target" }
},
"riskToReward": "1:2.5",
"confirmationTrigger": "Bearish engulfing candle on VWAP rejection",
"indicatorAnalysis": {
"rsi": "RSI at 68, approaching overbought",
"vwap": "Price rejected from VWAP resistance",
"obv": "OBV showing divergence"
}
},
"symbol": "SOLUSD",
"timeframe": "5",
"timestamp": "2025-07-11T13:10:00.000Z"
}
}
```
## Docker Configuration Details
### Browser Settings
- **Headless Mode**: Enabled for Docker
- **Chromium Path**: `/usr/bin/chromium`
- **No Sandbox**: Required for container security
- **Disabled GPU**: For stability in containers
### Security Considerations
- Credentials are only used for the session
- Screenshots are stored locally in the container
- Browser data is not persisted between runs
### Performance Notes
- Initial startup may take 30-60 seconds
- Each analysis takes approximately 45-90 seconds
- Screenshots are automatically cleaned up
## Troubleshooting
### Common Issues
1. **Login Failed**
- Check TradingView credentials
- Verify captcha handling (may need manual intervention)
- Check if account has 2FA enabled
2. **Screenshot Failed**
- Ensure chart loaded completely
- Check network connectivity
- Verify symbol exists on TradingView
3. **AI Analysis Failed**
- Check OpenAI API key
- Verify screenshot was captured
- Check OpenAI quota/billing
### Debug Mode
To enable debug screenshots:
```bash
# Add to docker-compose.yml environment
- DEBUG_SCREENSHOTS=true
```
This will save additional debug screenshots during the process.
### Logs
View container logs:
```bash
docker compose logs -f app
```
## Integration Examples
### With Trading Bot
```typescript
import { enhancedScreenshotService } from './lib/enhanced-screenshot'
import { aiAnalysisService } from './lib/ai-analysis'
const analysis = await enhancedScreenshotService.captureWithLogin({
symbol: 'SOLUSD',
timeframe: '5',
credentials: { email: 'user@example.com', password: 'password' }
})
if (analysis.length > 0) {
const aiResult = await aiAnalysisService.analyzeScreenshot(analysis[0])
if (aiResult?.recommendation === 'BUY') {
// Execute buy order
}
}
```
### Batch Analysis
```typescript
const configs = [
{ symbol: 'SOLUSD', timeframe: '5' },
{ symbol: 'BTCUSD', timeframe: '15' },
{ symbol: 'ETHUSD', timeframe: '5' }
]
const results = await enhancedScreenshotService.captureBatch(
configs,
credentials
)
```
## Limitations
- Requires TradingView account
- Rate limited by TradingView's anti-bot measures
- Captcha may require manual intervention
- Screenshot quality depends on chart layout
- AI analysis accuracy varies with market conditions
## Support
For issues or questions:
1. Check the logs first
2. Verify all environment variables are set
3. Test with the health check endpoint
4. Review the debug screenshots if available

View File

@@ -1,7 +1,7 @@
# Dockerfile for Next.js 15 + Puppeteer/Chromium + Prisma + Tailwind + OpenAI # Dockerfile for Next.js 15 + Playwright + Puppeteer/Chromium + Prisma + Tailwind + OpenAI
FROM node:20-slim FROM node:20-slim
# Install system dependencies for Chromium # Install system dependencies for Chromium and Playwright
RUN apt-get update && apt-get install -y \ RUN apt-get update && apt-get install -y \
wget \ wget \
ca-certificates \ ca-certificates \
@@ -21,6 +21,15 @@ RUN apt-get update && apt-get install -y \
libxdamage1 \ libxdamage1 \
libxrandr2 \ libxrandr2 \
xdg-utils \ xdg-utils \
libxss1 \
libgconf-2-4 \
libxtst6 \
libxrandr2 \
libasound2 \
libpangocairo-1.0-0 \
libgdk-pixbuf2.0-0 \
libgtk-3-0 \
libxshmfence1 \
--no-install-recommends && \ --no-install-recommends && \
rm -rf /var/lib/apt/lists/* rm -rf /var/lib/apt/lists/*
@@ -37,9 +46,19 @@ WORKDIR /app
COPY package.json package-lock.json* pnpm-lock.yaml* yarn.lock* .npmrc* ./ COPY package.json package-lock.json* pnpm-lock.yaml* yarn.lock* .npmrc* ./
RUN npm install RUN npm install
# Install Playwright browsers and dependencies
RUN npx playwright install --with-deps chromium
RUN npx playwright install-deps
# Copy the rest of the app # Copy the rest of the app
COPY . . COPY . .
# Generate Prisma client
RUN npx prisma generate
# Fix permissions for node_modules binaries
RUN chmod +x node_modules/.bin/*
# Expose port # Expose port
EXPOSE 3000 EXPOSE 3000

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VIDEO_RECORDING.md Normal file
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@@ -0,0 +1,82 @@
# Video Recording Feature for TradingView Automation
This feature allows you to record videos of the browser automation process for debugging and monitoring purposes.
## Environment Variables
- `TRADINGVIEW_DEBUG=true` - Enable debug mode (shows browser window locally, enables video recording)
- `TRADINGVIEW_RECORD_VIDEO=true` - Explicitly enable video recording
- `DOCKER_ENV=true` - Automatically detected in Docker containers
## Usage Examples
### Local Development with Live Browser Window
```bash
TRADINGVIEW_DEBUG=true node test-video-recording.js
```
This will:
- Show the browser window in real-time
- Slow down actions (250ms delay)
- Open DevTools
- Take debug screenshots
- Record video if TRADINGVIEW_RECORD_VIDEO=true
### Local Development with Video Recording
```bash
TRADINGVIEW_DEBUG=true TRADINGVIEW_RECORD_VIDEO=true node test-video-recording.js
```
This will do everything above plus save MP4 videos to the `videos/` directory.
### Docker Container Mode
```bash
DOCKER_ENV=true node test-video-recording.js
```
This will:
- Run in headless mode (required for Docker)
- Use Docker-optimized browser arguments
- Take debug screenshots
- Record video if TRADINGVIEW_RECORD_VIDEO=true
### Production Mode with Video Recording
```bash
TRADINGVIEW_RECORD_VIDEO=true node your-script.js
```
## File Locations
- **Screenshots**: `screenshots/` directory
- **Videos**: `videos/` directory
- **Debug Screenshots**: Automatically named with timestamps and step descriptions
## Video Settings
- **FPS**: 10 (optimized for Docker)
- **Quality**: 50% (smaller file sizes)
- **Aspect Ratio**: 16:9
- **Format**: MP4
## Docker Considerations
When running in Docker containers:
1. The browser runs in headless mode only
2. Video recording works but files are saved inside the container
3. Mount volumes to access videos: `-v $(pwd)/videos:/app/videos`
4. Ensure sufficient memory for video encoding
## Troubleshooting
### Video Recording Not Working
1. Check if `puppeteer-screen-recorder` is installed
2. Ensure you have sufficient disk space
3. In Docker, check memory limits
### Browser Not Showing Locally
1. Ensure `TRADINGVIEW_DEBUG=true` is set
2. Check if you're running in Docker mode
3. Verify X11 forwarding if using SSH
### Performance Issues
1. Reduce video quality in the code
2. Lower FPS settings
3. Increase Docker memory limits
4. Use SSD storage for video files

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@@ -1,6 +1,6 @@
import { NextRequest, NextResponse } from 'next/server' import { NextRequest, NextResponse } from 'next/server'
import { aiAnalysisService } from '../../../lib/ai-analysis' import { aiAnalysisService } from '../../../lib/ai-analysis'
import { tradingViewCapture } from '../../../lib/tradingview' import { enhancedScreenshotService } from '../../../lib/enhanced-screenshot'
import { settingsManager } from '../../../lib/settings' import { settingsManager } from '../../../lib/settings'
import path from 'path' import path from 'path'
@@ -21,7 +21,7 @@ export async function POST(req: NextRequest) {
} }
const baseFilename = `${finalSymbol}_${finalTimeframe}_${Date.now()}` const baseFilename = `${finalSymbol}_${finalTimeframe}_${Date.now()}`
const screenshots = await tradingViewCapture.capture(finalSymbol, `${baseFilename}.png`, finalLayouts, finalTimeframe) const screenshots = await enhancedScreenshotService.capture(finalSymbol, `${baseFilename}.png`, finalLayouts, finalTimeframe)
let result let result
if (screenshots.length === 1) { if (screenshots.length === 1) {
@@ -30,7 +30,7 @@ export async function POST(req: NextRequest) {
result = await aiAnalysisService.analyzeScreenshot(filename) result = await aiAnalysisService.analyzeScreenshot(filename)
} else { } else {
// Multiple screenshots analysis // Multiple screenshots analysis
const filenames = screenshots.map(screenshot => path.basename(screenshot)) const filenames = screenshots.map((screenshot: string) => path.basename(screenshot))
result = await aiAnalysisService.analyzeMultipleScreenshots(filenames) result = await aiAnalysisService.analyzeMultipleScreenshots(filenames)
} }
@@ -46,7 +46,7 @@ export async function POST(req: NextRequest) {
timeframe: finalTimeframe, timeframe: finalTimeframe,
layouts: finalLayouts layouts: finalLayouts
}, },
screenshots: screenshots.map(s => path.basename(s)) screenshots: screenshots.map((s: string) => path.basename(s))
}) })
} catch (e: any) { } catch (e: any) {
return NextResponse.json({ error: e.message }, { status: 500 }) return NextResponse.json({ error: e.message }, { status: 500 })

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@@ -0,0 +1,131 @@
import { NextRequest, NextResponse } from 'next/server'
import { aiAnalysisService } from '../../../lib/ai-analysis'
import { TradingViewCredentials } from '../../../lib/tradingview-automation'
export async function POST(request: NextRequest) {
try {
const body = await request.json()
const { symbol, timeframe, credentials, action } = body
// Validate input
if (!symbol || !timeframe || !credentials?.email || !credentials?.password) {
return NextResponse.json({
success: false,
error: 'Missing required fields: symbol, timeframe, and credentials'
}, { status: 400 })
}
const tradingViewCredentials: TradingViewCredentials = {
email: credentials.email,
password: credentials.password
}
switch (action) {
case 'capture_and_analyze':
// Single symbol and timeframe
const analysis = await aiAnalysisService.captureAndAnalyze(
symbol,
timeframe,
tradingViewCredentials
)
if (!analysis) {
return NextResponse.json({
success: false,
error: 'Failed to capture screenshot or analyze chart'
}, { status: 500 })
}
return NextResponse.json({
success: true,
data: {
symbol,
timeframe,
analysis,
timestamp: new Date().toISOString()
}
})
case 'capture_multiple':
// Multiple symbols or timeframes
const { symbols = [symbol], timeframes = [timeframe] } = body
const results = await aiAnalysisService.captureAndAnalyzeMultiple(
symbols,
timeframes,
tradingViewCredentials
)
return NextResponse.json({
success: true,
data: {
results,
timestamp: new Date().toISOString()
}
})
case 'capture_with_config':
// Advanced configuration
const { layouts } = body
const configResult = await aiAnalysisService.captureAndAnalyzeWithConfig({
symbol,
timeframe,
layouts,
credentials: tradingViewCredentials
})
return NextResponse.json({
success: true,
data: {
symbol,
timeframe,
screenshots: configResult.screenshots,
analysis: configResult.analysis,
timestamp: new Date().toISOString()
}
})
default:
return NextResponse.json({
success: false,
error: 'Invalid action. Use: capture_and_analyze, capture_multiple, or capture_with_config'
}, { status: 400 })
}
} catch (error) {
console.error('Automated analysis API error:', error)
return NextResponse.json({
success: false,
error: error instanceof Error ? error.message : 'Unknown error occurred'
}, { status: 500 })
}
}
export async function GET() {
return NextResponse.json({
success: true,
message: 'TradingView Automated Analysis API',
endpoints: {
POST: {
description: 'Automated screenshot capture and AI analysis',
actions: [
'capture_and_analyze - Single symbol/timeframe analysis',
'capture_multiple - Multiple symbols/timeframes',
'capture_with_config - Advanced configuration with layouts'
],
required_fields: ['symbol', 'timeframe', 'credentials', 'action'],
example: {
symbol: 'SOLUSD',
timeframe: '5',
credentials: {
email: 'your_email@example.com',
password: 'your_password'
},
action: 'capture_and_analyze'
}
}
}
})
}

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@@ -1,5 +1,5 @@
import { NextRequest, NextResponse } from 'next/server' import { NextRequest, NextResponse } from 'next/server'
import { tradingViewCapture } from '../../../lib/tradingview' import { enhancedScreenshotService } from '../../../lib/enhanced-screenshot'
export async function POST(req: NextRequest) { export async function POST(req: NextRequest) {
try { try {
@@ -7,7 +7,8 @@ export async function POST(req: NextRequest) {
if (!symbol || !filename) { if (!symbol || !filename) {
return NextResponse.json({ error: 'Missing symbol or filename' }, { status: 400 }) return NextResponse.json({ error: 'Missing symbol or filename' }, { status: 400 })
} }
const filePath = await tradingViewCapture.capture(symbol, filename) const screenshots = await enhancedScreenshotService.capture(symbol, filename)
const filePath = screenshots.length > 0 ? screenshots[0] : null
return NextResponse.json({ filePath }) return NextResponse.json({ filePath })
} catch (e: any) { } catch (e: any) {
return NextResponse.json({ error: e.message }, { status: 500 }) return NextResponse.json({ error: e.message }, { status: 500 })

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@@ -0,0 +1,84 @@
import { NextRequest, NextResponse } from 'next/server'
import { enhancedScreenshotService } from '../../../../lib/enhanced-screenshot'
import { aiAnalysisService } from '../../../../lib/ai-analysis'
export async function POST(request: NextRequest) {
try {
const body = await request.json()
const { symbol, timeframe, credentials } = body
// Validate required fields (credentials optional if using .env)
if (!symbol || !timeframe) {
return NextResponse.json(
{ error: 'Missing required fields: symbol, timeframe' },
{ status: 400 }
)
}
console.log(`Starting automated analysis for ${symbol} ${timeframe}`)
// Take screenshot with automated login and navigation
const screenshots = await enhancedScreenshotService.captureWithLogin({
symbol,
timeframe,
credentials // Will use .env if not provided
})
if (screenshots.length === 0) {
throw new Error('Failed to capture screenshots')
}
// Analyze the first screenshot
const analysis = await aiAnalysisService.analyzeScreenshot(screenshots[0])
if (!analysis) {
throw new Error('Failed to analyze screenshot')
}
return NextResponse.json({
success: true,
data: {
screenshots,
analysis,
symbol,
timeframe,
timestamp: new Date().toISOString()
}
})
} catch (error: any) {
console.error('Automated analysis error:', error)
return NextResponse.json(
{
error: 'Failed to perform automated analysis',
details: error?.message || 'Unknown error'
},
{ status: 500 }
)
}
}
export async function GET() {
try {
// Health check for the automation system
const healthCheck = await enhancedScreenshotService.healthCheck()
return NextResponse.json({
status: healthCheck.status,
message: healthCheck.message,
timestamp: new Date().toISOString(),
dockerEnvironment: true
})
} catch (error: any) {
return NextResponse.json(
{
status: 'error',
message: `Health check failed: ${error?.message || 'Unknown error'}`,
dockerEnvironment: true
},
{ status: 500 }
)
}
}

View File

@@ -8,8 +8,8 @@ export const metadata: Metadata = {
export default function RootLayout({ children }: { children: React.ReactNode }) { export default function RootLayout({ children }: { children: React.ReactNode }) {
return ( return (
<html lang="en"> <html lang="en" suppressHydrationWarning>
<body className="bg-gray-950 text-gray-100 min-h-screen"> <body className="bg-gray-950 text-gray-100 min-h-screen" suppressHydrationWarning>
<main className="max-w-5xl mx-auto py-8"> <main className="max-w-5xl mx-auto py-8">
{children} {children}
</main> </main>

View File

@@ -13,6 +13,17 @@ const timeframes = [
{ label: '1M', value: 'M' }, { label: '1M', value: 'M' },
] ]
const popularCoins = [
{ name: 'Bitcoin', symbol: 'BTCUSD', icon: '₿' },
{ name: 'Ethereum', symbol: 'ETHUSD', icon: 'Ξ' },
{ name: 'Solana', symbol: 'SOLUSD', icon: '◎' },
{ name: 'Sui', symbol: 'SUIUSD', icon: '🔷' },
{ name: 'Avalanche', symbol: 'AVAXUSD', icon: '🔺' },
{ name: 'Cardano', symbol: 'ADAUSD', icon: '♠' },
{ name: 'Polygon', symbol: 'MATICUSD', icon: '🔷' },
{ name: 'Chainlink', symbol: 'LINKUSD', icon: '🔗' },
]
export default function AIAnalysisPanel() { export default function AIAnalysisPanel() {
const [symbol, setSymbol] = useState('BTCUSD') const [symbol, setSymbol] = useState('BTCUSD')
const [selectedLayouts, setSelectedLayouts] = useState<string[]>([layouts[0]]) const [selectedLayouts, setSelectedLayouts] = useState<string[]>([layouts[0]])
@@ -21,6 +32,17 @@ export default function AIAnalysisPanel() {
const [result, setResult] = useState<any>(null) const [result, setResult] = useState<any>(null)
const [error, setError] = useState<string | null>(null) const [error, setError] = useState<string | null>(null)
// Helper function to safely render any value
const safeRender = (value: any): string => {
if (typeof value === 'string') return value
if (typeof value === 'number') return value.toString()
if (Array.isArray(value)) return value.join(', ')
if (typeof value === 'object' && value !== null) {
return JSON.stringify(value)
}
return String(value)
}
const toggleLayout = (layout: string) => { const toggleLayout = (layout: string) => {
setSelectedLayouts(prev => setSelectedLayouts(prev =>
prev.includes(layout) prev.includes(layout)
@@ -29,6 +51,32 @@ export default function AIAnalysisPanel() {
) )
} }
const selectCoin = (coinSymbol: string) => {
setSymbol(coinSymbol)
}
const quickAnalyze = async (coinSymbol: string) => {
setSymbol(coinSymbol)
setSelectedLayouts([layouts[0]]) // Use first layout
setLoading(true)
setError(null)
setResult(null)
try {
const res = await fetch('/api/analyze', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ symbol: coinSymbol, layouts: [layouts[0]], timeframe })
})
const data = await res.json()
if (!res.ok) throw new Error(data.error || 'Unknown error')
setResult(data)
} catch (e: any) {
setError(e.message)
}
setLoading(false)
}
async function handleAnalyze() { async function handleAnalyze() {
setLoading(true) setLoading(true)
setError(null) setError(null)
@@ -58,23 +106,55 @@ export default function AIAnalysisPanel() {
return ( return (
<div className="bg-gray-900 rounded-lg shadow p-6 mb-8"> <div className="bg-gray-900 rounded-lg shadow p-6 mb-8">
<h2 className="text-xl font-bold mb-4 text-white">AI Chart Analysis</h2> <h2 className="text-xl font-bold mb-4 text-white">AI Chart Analysis</h2>
<div className="flex gap-2 mb-4">
<input {/* Quick Coin Selection */}
className="input input-bordered flex-1" <div className="mb-6">
value={symbol} <h3 className="text-sm font-medium text-gray-300 mb-3">Quick Analysis - Popular Coins</h3>
onChange={e => setSymbol(e.target.value)} <div className="grid grid-cols-2 md:grid-cols-4 gap-2">
placeholder="Symbol (e.g. BTCUSD)" {popularCoins.map(coin => (
/> <button
<select key={coin.symbol}
className="input input-bordered" onClick={() => quickAnalyze(coin.symbol)}
value={timeframe} disabled={loading}
onChange={e => setTimeframe(e.target.value)} className={`p-3 rounded-lg border transition-all ${
> symbol === coin.symbol
{timeframes.map(tf => <option key={tf.value} value={tf.value}>{tf.label}</option>)} ? 'border-blue-500 bg-blue-500/20 text-blue-300'
</select> : 'border-gray-600 bg-gray-800 text-gray-300 hover:border-gray-500 hover:bg-gray-700'
<button className="btn btn-primary" onClick={handleAnalyze} disabled={loading}> } ${loading ? 'opacity-50 cursor-not-allowed' : 'hover:scale-105'}`}
{loading ? 'Analyzing...' : 'Analyze'} >
</button> <div className="text-lg mb-1">{coin.icon}</div>
<div className="text-xs font-medium">{coin.name}</div>
<div className="text-xs text-gray-400">{coin.symbol}</div>
</button>
))}
</div>
</div>
{/* Manual Input Section */}
<div className="border-t border-gray-700 pt-4">
<h3 className="text-sm font-medium text-gray-300 mb-3">Manual Analysis</h3>
<div className="flex gap-2 mb-4">
<input
className="flex-1 px-3 py-2 bg-gray-800 border border-gray-600 rounded-md text-white placeholder-gray-400 focus:border-blue-500 focus:outline-none"
value={symbol}
onChange={e => setSymbol(e.target.value)}
placeholder="Symbol (e.g. BTCUSD)"
/>
<select
className="px-3 py-2 bg-gray-800 border border-gray-600 rounded-md text-white focus:border-blue-500 focus:outline-none"
value={timeframe}
onChange={e => setTimeframe(e.target.value)}
>
{timeframes.map(tf => <option key={tf.value} value={tf.value}>{tf.label}</option>)}
</select>
<button
className="px-4 py-2 bg-blue-600 hover:bg-blue-700 disabled:bg-gray-600 text-white rounded-md transition-colors"
onClick={handleAnalyze}
disabled={loading}
>
{loading ? 'Analyzing...' : 'Analyze'}
</button>
</div>
</div> </div>
{/* Layout selection */} {/* Layout selection */}
@@ -84,60 +164,188 @@ export default function AIAnalysisPanel() {
</label> </label>
<div className="flex flex-wrap gap-2"> <div className="flex flex-wrap gap-2">
{layouts.map(layout => ( {layouts.map(layout => (
<label key={layout} className="flex items-center gap-2 cursor-pointer"> <label key={layout} className="flex items-center gap-2 cursor-pointer p-2 rounded-md bg-gray-800 hover:bg-gray-700 transition-colors">
<input <input
type="checkbox" type="checkbox"
checked={selectedLayouts.includes(layout)} checked={selectedLayouts.includes(layout)}
onChange={() => toggleLayout(layout)} onChange={() => toggleLayout(layout)}
className="form-checkbox h-4 w-4 text-blue-600 rounded" className="w-4 h-4 text-blue-600 bg-gray-700 border-gray-600 rounded focus:ring-blue-500"
/> />
<span className="text-sm text-gray-300">{layout}</span> <span className="text-sm text-gray-300">{layout}</span>
</label> </label>
))} ))}
</div> </div>
{selectedLayouts.length > 0 && ( {selectedLayouts.length > 0 && (
<div className="text-xs text-gray-400 mt-1"> <div className="text-xs text-gray-400 mt-2 p-2 bg-gray-800 rounded">
Selected: {selectedLayouts.join(', ')} Selected: {selectedLayouts.join(', ')}
</div> </div>
)} )}
</div> </div>
{error && ( {error && (
<div className="text-red-400 mb-2"> <div className="bg-red-900/20 border border-red-800 rounded-md p-3 mb-4">
{error.includes('frame was detached') ? ( <div className="text-red-400">
<> {error.includes('frame was detached') ? (
TradingView chart could not be loaded. Please check your symbol and layout, or try again.<br /> <>
<span className="text-xs">(Technical: {error})</span> <strong>TradingView Error:</strong> Chart could not be loaded. Please check your symbol and layout, or try again.<br />
</> <span className="text-xs opacity-75">Technical: {error}</span>
) : error.includes('layout not found') ? ( </>
<> ) : error.includes('layout not found') ? (
TradingView layout not found. Please select a valid layout.<br /> <>
<span className="text-xs">(Technical: {error})</span> <strong>Layout Error:</strong> TradingView layout not found. Please select a valid layout.<br />
</> <span className="text-xs opacity-75">Technical: {error}</span>
) : ( </>
error ) : error.includes('Private layout access denied') ? (
)} <>
<strong>Access Error:</strong> The selected layout is private or requires authentication. Try a different layout or check your TradingView login.<br />
<span className="text-xs opacity-75">Technical: {error}</span>
</>
) : (
<>
<strong>Analysis Error:</strong> {error}
</>
)}
</div>
</div> </div>
)} )}
{loading && ( {loading && (
<div className="flex items-center gap-2 text-gray-300 mb-2"> <div className="bg-blue-900/20 border border-blue-800 rounded-md p-3 mb-4">
<svg className="animate-spin h-5 w-5 text-blue-400" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24"><circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4"></circle><path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8v8z"></path></svg> <div className="flex items-center gap-3 text-blue-300">
Analyzing chart... <svg className="animate-spin h-5 w-5" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24">
<circle className="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" strokeWidth="4"></circle>
<path className="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8v8z"></path>
</svg>
<span>Analyzing {symbol} chart...</span>
</div>
</div> </div>
)} )}
{result && ( {result && (
<div className="bg-gray-800 rounded p-4 mt-4"> <div className="bg-gray-800 border border-gray-700 rounded-lg p-4 mt-4">
<h3 className="text-lg font-semibold text-white mb-3">Analysis Results</h3>
{result.layoutsAnalyzed && ( {result.layoutsAnalyzed && (
<div className="mb-3 text-sm text-gray-400"> <div className="mb-4 text-sm">
<b>Layouts analyzed:</b> {result.layoutsAnalyzed.join(', ')} <span className="text-gray-400">Layouts analyzed:</span>
<span className="ml-2 text-blue-300">{result.layoutsAnalyzed.join(', ')}</span>
</div> </div>
)} )}
<div className="space-y-2"> <div className="grid gap-3">
<div><b>Summary:</b> {result.summary}</div> <div className="bg-gray-900 p-3 rounded">
<div><b>Sentiment:</b> {result.marketSentiment}</div> <span className="text-gray-400 text-sm">Summary:</span>
<div><b>Recommendation:</b> {result.recommendation} ({result.confidence}%)</div> <p className="text-white mt-1">{safeRender(result.summary)}</p>
<div><b>Support:</b> {result.keyLevels?.support?.join(', ')}</div> </div>
<div><b>Resistance:</b> {result.keyLevels?.resistance?.join(', ')}</div> <div className="grid grid-cols-2 gap-3">
<div><b>Reasoning:</b> {result.reasoning}</div> <div className="bg-gray-900 p-3 rounded">
<span className="text-gray-400 text-sm">Sentiment:</span>
<p className="text-white mt-1">{safeRender(result.marketSentiment)}</p>
</div>
<div className="bg-gray-900 p-3 rounded">
<span className="text-gray-400 text-sm">Recommendation:</span>
<p className="text-white mt-1">{safeRender(result.recommendation)}</p>
<span className="text-blue-300 text-sm">({safeRender(result.confidence)}% confidence)</span>
</div>
</div>
{result.keyLevels && (
<div className="grid grid-cols-2 gap-3">
<div className="bg-gray-900 p-3 rounded">
<span className="text-gray-400 text-sm">Support Levels:</span>
<p className="text-green-300 mt-1">{result.keyLevels.support?.join(', ') || 'None identified'}</p>
</div>
<div className="bg-gray-900 p-3 rounded">
<span className="text-gray-400 text-sm">Resistance Levels:</span>
<p className="text-red-300 mt-1">{result.keyLevels.resistance?.join(', ') || 'None identified'}</p>
</div>
</div>
)}
{/* Enhanced Trading Analysis */}
{result.entry && (
<div className="bg-gray-900 p-3 rounded">
<span className="text-gray-400 text-sm">Entry:</span>
<p className="text-yellow-300 mt-1">${safeRender(result.entry.price || result.entry)}</p>
{result.entry.buffer && <p className="text-xs text-gray-400">{safeRender(result.entry.buffer)}</p>}
{result.entry.rationale && <p className="text-xs text-gray-300 mt-1">{safeRender(result.entry.rationale)}</p>}
</div>
)}
{result.stopLoss && (
<div className="bg-gray-900 p-3 rounded">
<span className="text-gray-400 text-sm">Stop Loss:</span>
<p className="text-red-300 mt-1">${safeRender(result.stopLoss.price || result.stopLoss)}</p>
{result.stopLoss.rationale && <p className="text-xs text-gray-300 mt-1">{safeRender(result.stopLoss.rationale)}</p>}
</div>
)}
{result.takeProfits && (
<div className="bg-gray-900 p-3 rounded">
<span className="text-gray-400 text-sm">Take Profits:</span>
{typeof result.takeProfits === 'object' ? (
<>
{result.takeProfits.tp1 && (
<div className="mt-1">
<p className="text-green-300">TP1: ${safeRender(result.takeProfits.tp1.price || result.takeProfits.tp1)}</p>
{result.takeProfits.tp1.description && <p className="text-xs text-gray-300">{safeRender(result.takeProfits.tp1.description)}</p>}
</div>
)}
{result.takeProfits.tp2 && (
<div className="mt-1">
<p className="text-green-300">TP2: ${safeRender(result.takeProfits.tp2.price || result.takeProfits.tp2)}</p>
{result.takeProfits.tp2.description && <p className="text-xs text-gray-300">{safeRender(result.takeProfits.tp2.description)}</p>}
</div>
)}
</>
) : (
<p className="text-green-300 mt-1">{safeRender(result.takeProfits)}</p>
)}
</div>
)}
{result.riskToReward && (
<div className="bg-gray-900 p-3 rounded">
<span className="text-gray-400 text-sm">Risk to Reward:</span>
<p className="text-blue-300 mt-1">{safeRender(result.riskToReward)}</p>
</div>
)}
{result.confirmationTrigger && (
<div className="bg-gray-900 p-3 rounded">
<span className="text-gray-400 text-sm">Confirmation Trigger:</span>
<p className="text-orange-300 mt-1">{safeRender(result.confirmationTrigger)}</p>
</div>
)}
{result.indicatorAnalysis && (
<div className="bg-gray-900 p-3 rounded">
<span className="text-gray-400 text-sm">Indicator Analysis:</span>
{typeof result.indicatorAnalysis === 'object' ? (
<div className="mt-1 space-y-1">
{result.indicatorAnalysis.rsi && (
<div>
<span className="text-purple-300 text-xs">RSI:</span>
<span className="text-white text-xs ml-2">{safeRender(result.indicatorAnalysis.rsi)}</span>
</div>
)}
{result.indicatorAnalysis.vwap && (
<div>
<span className="text-cyan-300 text-xs">VWAP:</span>
<span className="text-white text-xs ml-2">{safeRender(result.indicatorAnalysis.vwap)}</span>
</div>
)}
{result.indicatorAnalysis.obv && (
<div>
<span className="text-indigo-300 text-xs">OBV:</span>
<span className="text-white text-xs ml-2">{safeRender(result.indicatorAnalysis.obv)}</span>
</div>
)}
</div>
) : (
<p className="text-white mt-1">{safeRender(result.indicatorAnalysis)}</p>
)}
</div>
)}
<div className="bg-gray-900 p-3 rounded">
<span className="text-gray-400 text-sm">Reasoning:</span>
<p className="text-white mt-1">{safeRender(result.reasoning)}</p>
</div>
</div> </div>
</div> </div>
)} )}

View File

@@ -0,0 +1,303 @@
'use client'
import { useState } from 'react'
import { AnalysisResult } from '../lib/ai-analysis'
interface AutomatedAnalysisProps {
onAnalysisComplete?: (analysis: AnalysisResult) => void
}
export default function AutomatedAnalysisPanel({ onAnalysisComplete }: AutomatedAnalysisProps) {
const [isAnalyzing, setIsAnalyzing] = useState(false)
const [symbol, setSymbol] = useState('SOLUSD')
const [timeframe, setTimeframe] = useState('5')
const [email, setEmail] = useState('')
const [password, setPassword] = useState('')
const [analysis, setAnalysis] = useState<AnalysisResult | null>(null)
const [error, setError] = useState('')
const handleAnalyze = async () => {
if (!email || !password) {
setError('Please provide TradingView email and password')
return
}
setIsAnalyzing(true)
setError('')
setAnalysis(null)
try {
const response = await fetch('/api/automated-analysis', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
symbol,
timeframe,
credentials: {
email,
password,
},
action: 'capture_and_analyze'
})
})
const result = await response.json()
if (!result.success) {
throw new Error(result.error || 'Analysis failed')
}
const analysisResult = result.data.analysis
setAnalysis(analysisResult)
if (onAnalysisComplete) {
onAnalysisComplete(analysisResult)
}
} catch (err) {
console.error('Analysis error:', err)
setError(err instanceof Error ? err.message : 'Analysis failed')
} finally {
setIsAnalyzing(false)
}
}
const handleMultipleAnalysis = async () => {
if (!email || !password) {
setError('Please provide TradingView email and password')
return
}
setIsAnalyzing(true)
setError('')
setAnalysis(null)
try {
const response = await fetch('/api/automated-analysis', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
symbols: [symbol],
timeframes: ['5', '15', '60'],
credentials: {
email,
password,
},
action: 'capture_multiple'
})
})
const result = await response.json()
if (!result.success) {
throw new Error(result.error || 'Multiple analysis failed')
}
// Show results from all timeframes
console.log('Multiple analysis results:', result.data.results)
// Use the first successful analysis for display
const firstSuccessful = result.data.results.find((r: any) => r.analysis !== null)
if (firstSuccessful) {
setAnalysis(firstSuccessful.analysis)
if (onAnalysisComplete) {
onAnalysisComplete(firstSuccessful.analysis)
}
}
} catch (err) {
console.error('Multiple analysis error:', err)
setError(err instanceof Error ? err.message : 'Multiple analysis failed')
} finally {
setIsAnalyzing(false)
}
}
return (
<div className="bg-gray-900 border border-gray-700 rounded-lg p-6 space-y-4">
<h2 className="text-xl font-bold text-white mb-4">Automated TradingView Analysis</h2>
{/* Configuration */}
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
<div>
<label className="block text-sm font-medium text-gray-300 mb-2">
Symbol
</label>
<select
value={symbol}
onChange={(e) => setSymbol(e.target.value)}
className="w-full px-3 py-2 bg-gray-800 border border-gray-600 rounded-md text-white"
disabled={isAnalyzing}
>
<option value="SOLUSD">SOL/USD</option>
<option value="BTCUSD">BTC/USD</option>
<option value="ETHUSD">ETH/USD</option>
<option value="ADAUSD">ADA/USD</option>
</select>
</div>
<div>
<label className="block text-sm font-medium text-gray-300 mb-2">
Timeframe
</label>
<select
value={timeframe}
onChange={(e) => setTimeframe(e.target.value)}
className="w-full px-3 py-2 bg-gray-800 border border-gray-600 rounded-md text-white"
disabled={isAnalyzing}
>
<option value="5">5 min</option>
<option value="15">15 min</option>
<option value="60">1 hour</option>
<option value="240">4 hour</option>
<option value="1440">1 day</option>
</select>
</div>
<div>
<label className="block text-sm font-medium text-gray-300 mb-2">
TradingView Email
</label>
<input
type="email"
value={email}
onChange={(e) => setEmail(e.target.value)}
className="w-full px-3 py-2 bg-gray-800 border border-gray-600 rounded-md text-white"
placeholder="your.email@example.com"
disabled={isAnalyzing}
/>
</div>
<div>
<label className="block text-sm font-medium text-gray-300 mb-2">
TradingView Password
</label>
<input
type="password"
value={password}
onChange={(e) => setPassword(e.target.value)}
className="w-full px-3 py-2 bg-gray-800 border border-gray-600 rounded-md text-white"
placeholder="••••••••"
disabled={isAnalyzing}
/>
</div>
</div>
{/* Action Buttons */}
<div className="flex space-x-4">
<button
onClick={handleAnalyze}
disabled={isAnalyzing || !email || !password}
className="flex-1 bg-blue-600 hover:bg-blue-700 disabled:bg-gray-600 disabled:cursor-not-allowed text-white font-medium py-2 px-4 rounded-md transition-colors"
>
{isAnalyzing ? 'Analyzing...' : 'Analyze Current Chart'}
</button>
<button
onClick={handleMultipleAnalysis}
disabled={isAnalyzing || !email || !password}
className="flex-1 bg-green-600 hover:bg-green-700 disabled:bg-gray-600 disabled:cursor-not-allowed text-white font-medium py-2 px-4 rounded-md transition-colors"
>
{isAnalyzing ? 'Analyzing...' : 'Multi-Timeframe Analysis'}
</button>
</div>
{/* Status */}
{isAnalyzing && (
<div className="bg-blue-900/20 border border-blue-700 rounded-md p-4">
<div className="flex items-center space-x-2">
<div className="animate-spin rounded-full h-4 w-4 border-b-2 border-blue-400"></div>
<span className="text-blue-400">
Logging into TradingView and capturing chart...
</span>
</div>
</div>
)}
{/* Error Display */}
{error && (
<div className="bg-red-900/20 border border-red-700 rounded-md p-4">
<p className="text-red-400">{error}</p>
</div>
)}
{/* Analysis Results */}
{analysis && (
<div className="bg-gray-800 border border-gray-600 rounded-md p-4 space-y-3">
<h3 className="text-lg font-semibold text-white">Analysis Results</h3>
<div className="grid grid-cols-1 md:grid-cols-3 gap-4">
<div>
<span className="text-sm text-gray-400">Sentiment:</span>
<p className={`font-medium ${
analysis.marketSentiment === 'BULLISH' ? 'text-green-400' :
analysis.marketSentiment === 'BEARISH' ? 'text-red-400' :
'text-yellow-400'
}`}>
{analysis.marketSentiment}
</p>
</div>
<div>
<span className="text-sm text-gray-400">Recommendation:</span>
<p className={`font-medium ${
analysis.recommendation === 'BUY' ? 'text-green-400' :
analysis.recommendation === 'SELL' ? 'text-red-400' :
'text-yellow-400'
}`}>
{analysis.recommendation}
</p>
</div>
<div>
<span className="text-sm text-gray-400">Confidence:</span>
<p className="font-medium text-white">{analysis.confidence}%</p>
</div>
</div>
<div>
<span className="text-sm text-gray-400">Summary:</span>
<p className="text-white">{analysis.summary}</p>
</div>
{analysis.entry && (
<div>
<span className="text-sm text-gray-400">Entry:</span>
<p className="text-green-400">${analysis.entry.price}</p>
<p className="text-sm text-gray-300">{analysis.entry.rationale}</p>
</div>
)}
{analysis.stopLoss && (
<div>
<span className="text-sm text-gray-400">Stop Loss:</span>
<p className="text-red-400">${analysis.stopLoss.price}</p>
<p className="text-sm text-gray-300">{analysis.stopLoss.rationale}</p>
</div>
)}
{analysis.takeProfits && (
<div>
<span className="text-sm text-gray-400">Take Profits:</span>
{analysis.takeProfits.tp1 && (
<p className="text-blue-400">TP1: ${analysis.takeProfits.tp1.price} - {analysis.takeProfits.tp1.description}</p>
)}
{analysis.takeProfits.tp2 && (
<p className="text-blue-400">TP2: ${analysis.takeProfits.tp2.price} - {analysis.takeProfits.tp2.description}</p>
)}
</div>
)}
<div>
<span className="text-sm text-gray-400">Reasoning:</span>
<p className="text-gray-300 text-sm">{analysis.reasoning}</p>
</div>
</div>
)}
</div>
)
}

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@@ -0,0 +1,249 @@
import React, { useState } from 'react'
interface TradingViewCredentials {
email: string
password: string
}
interface AutomatedAnalysisResult {
screenshots: string[]
analysis: any
symbol: string
timeframe: string
timestamp: string
}
export function AutomatedTradingPanel() {
const [credentials, setCredentials] = useState<TradingViewCredentials>({
email: '',
password: ''
})
const [symbol, setSymbol] = useState('SOLUSD')
const [timeframe, setTimeframe] = useState('5')
const [isLoading, setIsLoading] = useState(false)
const [result, setResult] = useState<AutomatedAnalysisResult | null>(null)
const [error, setError] = useState<string>('')
const [healthStatus, setHealthStatus] = useState<'unknown' | 'ok' | 'error'>('unknown')
const checkHealth = async () => {
try {
const response = await fetch('/api/trading/automated-analysis')
const data = await response.json()
if (data.status === 'ok') {
setHealthStatus('ok')
} else {
setHealthStatus('error')
setError(data.message || 'Health check failed')
}
} catch (err: any) {
setHealthStatus('error')
setError(err.message || 'Failed to check health')
}
}
const runAutomatedAnalysis = async () => {
if (!credentials.email || !credentials.password) {
setError('Please enter your TradingView credentials')
return
}
setIsLoading(true)
setError('')
setResult(null)
try {
const response = await fetch('/api/trading/automated-analysis', {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify({
symbol,
timeframe,
credentials
})
})
const data = await response.json()
if (!response.ok) {
throw new Error(data.error || data.details || 'Analysis failed')
}
setResult(data.data)
} catch (err: any) {
setError(err.message || 'Failed to run automated analysis')
} finally {
setIsLoading(false)
}
}
return (
<div className="p-6 bg-white rounded-lg shadow-lg">
<h2 className="text-2xl font-bold mb-6">Automated TradingView Analysis (Docker)</h2>
{/* Health Check */}
<div className="mb-6 p-4 border rounded-lg">
<div className="flex items-center justify-between mb-2">
<h3 className="text-lg font-semibold">System Health</h3>
<button
onClick={checkHealth}
className="px-3 py-1 bg-blue-500 text-white rounded hover:bg-blue-600"
>
Check Health
</button>
</div>
{healthStatus !== 'unknown' && (
<div className={`p-2 rounded ${healthStatus === 'ok' ? 'bg-green-100 text-green-800' : 'bg-red-100 text-red-800'}`}>
Status: {healthStatus === 'ok' ? '✅ System Ready' : '❌ System Error'}
</div>
)}
</div>
{/* Configuration */}
<div className="space-y-4 mb-6">
<div className="grid grid-cols-2 gap-4">
<div>
<label className="block text-sm font-medium mb-1">Symbol</label>
<input
type="text"
value={symbol}
onChange={(e) => setSymbol(e.target.value)}
className="w-full p-2 border rounded"
placeholder="e.g., SOLUSD, BTCUSD"
/>
</div>
<div>
<label className="block text-sm font-medium mb-1">Timeframe</label>
<select
value={timeframe}
onChange={(e) => setTimeframe(e.target.value)}
className="w-full p-2 border rounded"
>
<option value="1">1 min</option>
<option value="5">5 min</option>
<option value="15">15 min</option>
<option value="30">30 min</option>
<option value="60">1 hour</option>
</select>
</div>
</div>
<div className="grid grid-cols-2 gap-4">
<div>
<label className="block text-sm font-medium mb-1">TradingView Email</label>
<input
type="email"
value={credentials.email}
onChange={(e) => setCredentials(prev => ({ ...prev, email: e.target.value }))}
className="w-full p-2 border rounded"
placeholder="your-email@example.com"
/>
</div>
<div>
<label className="block text-sm font-medium mb-1">TradingView Password</label>
<input
type="password"
value={credentials.password}
onChange={(e) => setCredentials(prev => ({ ...prev, password: e.target.value }))}
className="w-full p-2 border rounded"
placeholder="your-password"
/>
</div>
</div>
</div>
{/* Action Button */}
<button
onClick={runAutomatedAnalysis}
disabled={isLoading}
className={`w-full py-3 px-6 rounded text-white font-semibold ${
isLoading
? 'bg-gray-400 cursor-not-allowed'
: 'bg-green-600 hover:bg-green-700'
}`}
>
{isLoading ? '🔄 Running Automated Analysis...' : '🚀 Start Automated Analysis'}
</button>
{/* Error Display */}
{error && (
<div className="mt-4 p-4 bg-red-100 border border-red-400 text-red-700 rounded">
<strong>Error:</strong> {error}
</div>
)}
{/* Results */}
{result && (
<div className="mt-6 space-y-4">
<h3 className="text-lg font-semibold">Analysis Results</h3>
{/* Screenshots */}
<div>
<h4 className="font-medium mb-2">Screenshots Captured:</h4>
<div className="grid grid-cols-2 gap-2">
{result.screenshots.map((screenshot, index) => (
<div key={index} className="text-sm bg-gray-100 p-2 rounded">
📸 {screenshot}
</div>
))}
</div>
</div>
{/* Analysis Summary */}
<div className="p-4 border rounded-lg">
<h4 className="font-medium mb-2">AI Analysis Summary</h4>
<div className="space-y-2 text-sm">
<div><strong>Symbol:</strong> {result.symbol}</div>
<div><strong>Timeframe:</strong> {result.timeframe}</div>
<div><strong>Sentiment:</strong>
<span className={`ml-2 px-2 py-1 rounded text-xs ${
result.analysis.marketSentiment === 'BULLISH' ? 'bg-green-100 text-green-800' :
result.analysis.marketSentiment === 'BEARISH' ? 'bg-red-100 text-red-800' :
'bg-yellow-100 text-yellow-800'
}`}>
{result.analysis.marketSentiment}
</span>
</div>
<div><strong>Recommendation:</strong>
<span className={`ml-2 px-2 py-1 rounded text-xs ${
result.analysis.recommendation === 'BUY' ? 'bg-green-100 text-green-800' :
result.analysis.recommendation === 'SELL' ? 'bg-red-100 text-red-800' :
'bg-gray-100 text-gray-800'
}`}>
{result.analysis.recommendation}
</span>
</div>
<div><strong>Confidence:</strong> {result.analysis.confidence}%</div>
<div><strong>Summary:</strong> {result.analysis.summary}</div>
<div><strong>Reasoning:</strong> {result.analysis.reasoning}</div>
</div>
</div>
{/* Trading Details */}
{result.analysis.entry && (
<div className="p-4 border rounded-lg bg-blue-50">
<h4 className="font-medium mb-2">Trading Setup</h4>
<div className="space-y-1 text-sm">
<div><strong>Entry:</strong> ${result.analysis.entry.price}</div>
{result.analysis.stopLoss && (
<div><strong>Stop Loss:</strong> ${result.analysis.stopLoss.price}</div>
)}
{result.analysis.takeProfits?.tp1 && (
<div><strong>Take Profit 1:</strong> ${result.analysis.takeProfits.tp1.price}</div>
)}
{result.analysis.riskToReward && (
<div><strong>Risk/Reward:</strong> {result.analysis.riskToReward}</div>
)}
</div>
</div>
)}
</div>
)}
</div>
)
}
export default AutomatedTradingPanel

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@@ -3,6 +3,7 @@ import React, { useEffect, useState } from 'react'
import AutoTradingPanel from './AutoTradingPanel' import AutoTradingPanel from './AutoTradingPanel'
import TradingHistory from './TradingHistory' import TradingHistory from './TradingHistory'
import DeveloperSettings from './DeveloperSettings' import DeveloperSettings from './DeveloperSettings'
import AIAnalysisPanel from './AIAnalysisPanel'
export default function Dashboard() { export default function Dashboard() {
const [positions, setPositions] = useState<any[]>([]) const [positions, setPositions] = useState<any[]>([])
@@ -28,8 +29,9 @@ export default function Dashboard() {
}, []) }, [])
return ( return (
<div className="grid grid-cols-1 md:grid-cols-2 gap-8 p-8 bg-gray-950 min-h-screen"> <div className="grid grid-cols-1 lg:grid-cols-2 gap-8 p-8 bg-gray-950 min-h-screen">
<div className="space-y-8"> <div className="space-y-8">
<AIAnalysisPanel />
<AutoTradingPanel /> <AutoTradingPanel />
<DeveloperSettings /> <DeveloperSettings />
</div> </div>

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const { chromium } = require('playwright');
async function debugTimeframeChange() {
console.log('🔍 Debugging TradingView timeframe change...');
const browser = await chromium.launch({
headless: false, // Show browser for debugging
args: ['--no-sandbox', '--disable-setuid-sandbox']
});
const page = await browser.newPage();
try {
// Navigate to TradingView chart (assuming we're already logged in or using a public chart)
console.log('📊 Navigating to TradingView chart...');
await page.goto('https://www.tradingview.com/chart/', {
waitUntil: 'networkidle',
timeout: 30000
});
// Wait for chart to load
await page.waitForTimeout(5000);
// Take screenshot of initial state
await page.screenshot({ path: 'debug-timeframe-initial.png', fullPage: true });
console.log('📸 Initial screenshot taken');
// Look for all buttons and elements that might be timeframe related
console.log('🔍 Analyzing page for timeframe controls...');
const timeframeElements = await page.$$eval('*', (elements) => {
const found = [];
for (const el of elements) {
const text = el.textContent?.trim() || '';
const className = el.className || '';
const tagName = el.tagName;
const dataset = el.dataset || {};
const ariaLabel = el.getAttribute('aria-label') || '';
const title = el.getAttribute('title') || '';
// Look for elements that might be timeframe related
if (
text.match(/^(1|5|15|30|60|1h|4h|1d|1w)$/i) ||
text.match(/^\d+[mhd]$/i) ||
(typeof className === 'string' && className.includes('interval')) ||
(typeof className === 'string' && className.includes('timeframe')) ||
(typeof ariaLabel === 'string' && ariaLabel.includes('timeframe')) ||
(typeof ariaLabel === 'string' && ariaLabel.includes('interval')) ||
(typeof title === 'string' && title.includes('timeframe')) ||
(typeof title === 'string' && title.includes('interval'))
) {
found.push({
tagName,
text: text.substring(0, 20),
className: typeof className === 'string' ? className.substring(0, 100) : className,
dataset,
ariaLabel,
title,
outerHTML: el.outerHTML.substring(0, 200)
});
}
}
return found.slice(0, 20); // Limit results
});
console.log('🎯 Potential timeframe elements found:');
console.log(JSON.stringify(timeframeElements, null, 2));
// Try to find the "1h" button specifically
console.log('\n🎯 Looking specifically for 1h timeframe...');
const oneHourSelectors = [
'button:has-text("1h")',
'button:has-text("1H")',
'[data-value="1h"]',
'[data-value="1H"]',
'[data-value="60"]',
'[title="1h"]',
'[title="1H"]'
];
for (const selector of oneHourSelectors) {
try {
console.log(`Trying selector: ${selector}`);
const element = page.locator(selector).first();
const isVisible = await element.isVisible({ timeout: 2000 });
console.log(`Selector ${selector}: ${isVisible ? '✅ VISIBLE' : '❌ Not visible'}`);
if (isVisible) {
console.log('🎉 Found 1h button! Clicking...');
await element.click();
await page.waitForTimeout(2000);
await page.screenshot({ path: 'debug-timeframe-after-click.png', fullPage: true });
console.log('📸 After-click screenshot taken');
break;
}
} catch (e) {
console.log(`Selector ${selector}: ❌ Error - ${e.message}`);
}
}
// Check current URL and title
console.log('\n📍 Current page info:');
console.log('URL:', await page.url());
console.log('Title:', await page.title());
console.log('\n⏱ Waiting 10 seconds for manual inspection...');
await page.waitForTimeout(10000);
} catch (error) {
console.error('❌ Error during debugging:', error);
} finally {
await browser.close();
console.log('🏁 Debug session completed');
}
}
debugTimeframeChange().catch(console.error);

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const { chromium } = require('playwright');
async function debugTradingViewLoginV2() {
console.log('🚀 Starting TradingView login debug v2...');
const browser = await chromium.launch({
headless: false, // Show the browser
slowMo: 500, // Slow down by 500ms
devtools: true // Open devtools
});
const context = await browser.newContext({
viewport: { width: 1280, height: 720 },
userAgent: 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36'
});
const page = await context.newPage();
try {
console.log('📍 Navigating to TradingView login page...');
await page.goto('https://www.tradingview.com/accounts/signin/', {
waitUntil: 'networkidle',
timeout: 30000
});
console.log('📄 Current URL:', page.url());
console.log('📋 Page title:', await page.title());
// Wait for dynamic content to load - try different strategies
console.log('⏳ Waiting for dynamic content to load...');
// Strategy 1: Wait for common login form selectors to appear
const possibleSelectors = [
'input[type="email"]',
'input[name="email"]',
'input[placeholder*="email" i]',
'[data-name="email"]',
'form input',
'.login-form input',
'#email',
'[name="username"]'
];
console.log('🔍 Waiting for login form to appear...');
let loginFormFound = false;
let foundSelector = null;
// Try waiting for each selector with a reasonable timeout
for (const selector of possibleSelectors) {
try {
console.log(` Checking selector: ${selector}`);
await page.waitForSelector(selector, { timeout: 3000, state: 'visible' });
console.log(`✅ Found login form with selector: ${selector}`);
foundSelector = selector;
loginFormFound = true;
break;
} catch (e) {
console.log(` ❌ Selector ${selector} not found or not visible`);
}
}
if (!loginFormFound) {
console.log('⏰ No standard selectors found, waiting longer for page to fully load...');
await page.waitForTimeout(10000); // Wait 10 seconds
}
// Take another screenshot after waiting
await page.screenshot({ path: './debug-tradingview-after-wait.png', fullPage: true });
console.log('📸 Screenshot saved as debug-tradingview-after-wait.png');
// Check again for inputs after waiting
console.log('🔍 Checking for input elements again...');
const allInputs = await page.locator('input').all();
console.log(`📝 Found ${allInputs.length} total input elements after waiting`);
for (let i = 0; i < allInputs.length; i++) {
const input = allInputs[i];
try {
const type = await input.getAttribute('type');
const name = await input.getAttribute('name');
const id = await input.getAttribute('id');
const placeholder = await input.getAttribute('placeholder');
const className = await input.getAttribute('class');
const isVisible = await input.isVisible();
const isEnabled = await input.isEnabled();
console.log(` Input ${i + 1}: type="${type}", name="${name}", id="${id}", placeholder="${placeholder}", class="${className}", visible=${isVisible}, enabled=${isEnabled}`);
} catch (e) {
console.log(` Input ${i + 1}: Error getting attributes - ${e.message}`);
}
}
// Check for buttons that might trigger login form
console.log('🔘 Looking for login buttons or triggers...');
const buttonSelectors = [
'button',
'[role="button"]',
'a[href*="signin"]',
'a[href*="login"]',
'.signin',
'.login',
'[data-name*="login"]',
'[data-name*="signin"]'
];
for (const selector of buttonSelectors) {
try {
const buttons = await page.locator(selector).all();
for (let i = 0; i < buttons.length; i++) {
const button = buttons[i];
try {
const text = await button.textContent();
const isVisible = await button.isVisible();
if (isVisible && text && (text.toLowerCase().includes('sign') || text.toLowerCase().includes('log'))) {
console.log(` Found potential login button: "${text}" with selector ${selector}`);
}
} catch (e) {
// Continue
}
}
} catch (e) {
// Continue
}
}
// Look for any clickable elements that might show the login form
console.log('🎯 Looking for elements that might trigger login form...');
const clickableSelectors = [
'[data-qa*="login"]',
'[data-qa*="signin"]',
'[data-testid*="login"]',
'[data-testid*="signin"]',
'.js-signin',
'.js-login'
];
for (const selector of clickableSelectors) {
try {
const element = await page.locator(selector).first();
if (await element.isVisible()) {
const text = await element.textContent();
console.log(` Found clickable element: "${text}" with selector ${selector}`);
}
} catch (e) {
// Continue
}
}
// Check the page content for any hidden forms or components
console.log('📄 Checking page content for hidden login forms...');
const pageContent = await page.content();
const hasLoginKeywords = pageContent.toLowerCase().includes('email') ||
pageContent.toLowerCase().includes('password') ||
pageContent.toLowerCase().includes('username');
console.log(`📝 Page contains login keywords: ${hasLoginKeywords}`);
if (pageContent.toLowerCase().includes('email')) {
console.log('📧 Page contains "email" text');
}
if (pageContent.toLowerCase().includes('password')) {
console.log('🔒 Page contains "password" text');
}
// Wait for user interaction
console.log('\n🎮 Browser is open for manual inspection. Press Ctrl+C to close when done.');
console.log('💡 Look for:');
console.log(' - Any buttons or links that show the login form');
console.log(' - Login form that appears after clicking something');
console.log(' - Network requests that load login form content');
console.log(' - JavaScript errors in the console');
// Keep the browser open for manual inspection
await page.waitForTimeout(300000); // Wait 5 minutes
} catch (error) {
console.error('❌ Error during debug:', error);
await page.screenshot({ path: './debug-tradingview-error-v2.png', fullPage: true });
} finally {
console.log('🔚 Closing browser...');
await browser.close();
}
}
// Handle Ctrl+C to close gracefully
process.on('SIGINT', () => {
console.log('\n👋 Received SIGINT, closing browser...');
process.exit(0);
});
debugTradingViewLoginV2().catch(console.error);

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const { chromium } = require('playwright');
async function debugTradingViewLoginV3() {
console.log('🚀 Starting TradingView login debug v3 - Looking for trigger elements...');
const browser = await chromium.launch({
headless: false,
slowMo: 1000,
devtools: true
});
const context = await browser.newContext({
viewport: { width: 1280, height: 720 },
userAgent: 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36'
});
const page = await context.newPage();
try {
console.log('📍 Navigating to TradingView login page...');
await page.goto('https://www.tradingview.com/accounts/signin/', {
waitUntil: 'networkidle',
timeout: 30000
});
// Wait for page to settle
await page.waitForTimeout(5000);
console.log('📸 Taking initial screenshot...');
await page.screenshot({ path: './debug-initial.png', fullPage: true });
// Look for common TradingView login triggers
console.log('🔍 Looking for login triggers...');
const triggers = [
// Email/password login button
{ selector: 'text="Email"', name: 'Email button' },
{ selector: 'text="Sign in with email"', name: 'Sign in with email' },
{ selector: 'text="Continue with email"', name: 'Continue with email' },
{ selector: '[data-name="email"]', name: 'Email data-name' },
{ selector: '[data-qa*="email"]', name: 'Email data-qa' },
{ selector: 'button:has-text("Email")', name: 'Button containing Email' },
{ selector: 'button:has-text("email")', name: 'Button containing email' },
{ selector: '.tv-signin-dialog__toggle-email', name: 'TV signin email toggle' },
{ selector: '.js-show-email', name: 'JS show email' },
{ selector: '[data-outside-click*="email"]', name: 'Data outside click email' },
// General buttons that might trigger login
{ selector: 'button', name: 'Any button' },
{ selector: '[role="button"]', name: 'Role button' },
{ selector: 'a[href="#"]', name: 'Anchor with hash' },
{ selector: '.js-signin', name: 'JS signin class' },
];
let foundTrigger = null;
for (const trigger of triggers) {
try {
console.log(` Checking: ${trigger.name} (${trigger.selector})`);
if (trigger.selector === 'button' || trigger.selector === '[role="button"]') {
// For generic buttons, check each one
const buttons = await page.locator(trigger.selector).all();
console.log(` Found ${buttons.length} buttons`);
for (let i = 0; i < Math.min(buttons.length, 10); i++) { // Check first 10 buttons
try {
const button = buttons[i];
const text = await button.textContent();
const isVisible = await button.isVisible();
if (isVisible && text) {
console.log(` Button ${i + 1}: "${text.trim()}" (visible: ${isVisible})`);
// Check if this button might be the email login trigger
const lowerText = text.toLowerCase().trim();
if (lowerText.includes('email') || lowerText.includes('sign') || lowerText.includes('continue')) {
console.log(` ⭐ Potential trigger button: "${text.trim()}"`);
foundTrigger = { element: button, text: text.trim(), selector: trigger.selector };
}
}
} catch (e) {
console.log(` Button ${i + 1}: Error - ${e.message}`);
}
}
} else {
// For specific selectors
const element = await page.locator(trigger.selector).first();
const isVisible = await element.isVisible({ timeout: 1000 });
if (isVisible) {
const text = await element.textContent();
console.log(` ✅ Found: "${text?.trim()}" (visible: ${isVisible})`);
foundTrigger = { element, text: text?.trim(), selector: trigger.selector };
break; // Use the first specific match
} else {
console.log(` ❌ Not visible or not found`);
}
}
} catch (e) {
console.log(` ❌ Error: ${e.message}`);
}
}
if (foundTrigger) {
console.log(`\n🎯 Found potential trigger: "${foundTrigger.text}" with selector: ${foundTrigger.selector}`);
console.log('🖱️ Clicking the trigger...');
try {
await foundTrigger.element.click();
console.log('✅ Clicked successfully!');
// Wait for login form to appear after clicking
await page.waitForTimeout(3000);
console.log('📸 Taking screenshot after click...');
await page.screenshot({ path: './debug-after-click.png', fullPage: true });
// Now check for inputs again
console.log('🔍 Checking for inputs after clicking...');
const inputs = await page.locator('input').all();
console.log(`📝 Found ${inputs.length} input elements after clicking`);
for (let i = 0; i < inputs.length; i++) {
const input = inputs[i];
try {
const type = await input.getAttribute('type');
const name = await input.getAttribute('name');
const placeholder = await input.getAttribute('placeholder');
const isVisible = await input.isVisible();
console.log(` Input ${i + 1}: type="${type}", name="${name}", placeholder="${placeholder}", visible=${isVisible}`);
} catch (e) {
console.log(` Input ${i + 1}: Error - ${e.message}`);
}
}
} catch (e) {
console.log(`❌ Error clicking trigger: ${e.message}`);
}
} else {
console.log('\n❌ No login trigger found');
}
// Manual inspection
console.log('\n🎮 Browser is open for manual inspection. Look for:');
console.log(' - Buttons or links that might show email login form');
console.log(' - Modal dialogs or popup forms');
console.log(' - JavaScript console errors');
console.log(' - Network requests when clicking buttons');
console.log('\nPress Ctrl+C to close when done.');
await page.waitForTimeout(300000); // Wait 5 minutes
} catch (error) {
console.error('❌ Error during debug:', error);
await page.screenshot({ path: './debug-error-v3.png', fullPage: true });
} finally {
console.log('🔚 Closing browser...');
await browser.close();
}
}
process.on('SIGINT', () => {
console.log('\n👋 Received SIGINT, closing browser...');
process.exit(0);
});
debugTradingViewLoginV3().catch(console.error);

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const { chromium } = require('playwright');
async function debugTradingViewLogin() {
console.log('🚀 Starting TradingView login debug...');
const browser = await chromium.launch({
headless: false, // Show the browser
slowMo: 1000, // Slow down by 1000ms
devtools: true // Open devtools
});
const context = await browser.newContext({
viewport: { width: 1280, height: 720 },
userAgent: 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36'
});
const page = await context.newPage();
try {
console.log('📍 Navigating to TradingView login page...');
await page.goto('https://www.tradingview.com/accounts/signin/', {
waitUntil: 'networkidle',
timeout: 30000
});
console.log('📄 Current URL:', page.url());
console.log('📋 Page title:', await page.title());
// Wait a bit for dynamic content to load
console.log('⏳ Waiting for page to settle...');
await page.waitForTimeout(3000);
// Take a screenshot for debugging
await page.screenshot({ path: './debug-tradingview-visible.png', fullPage: true });
console.log('📸 Screenshot saved as debug-tradingview-visible.png');
// Try to find login form elements
console.log('🔍 Looking for login form elements...');
// Check for various email input selectors
const emailSelectors = [
'input[type="email"]',
'input[name="email"]',
'input[id*="email"]',
'input[placeholder*="email" i]',
'input[placeholder*="Email" i]',
'input[data-name="email"]',
'[data-qa="email-input"]',
'[name="id_username"]',
'[name="username"]'
];
let emailInput = null;
for (const selector of emailSelectors) {
try {
emailInput = await page.locator(selector).first();
if (await emailInput.isVisible()) {
console.log(`✅ Found email input with selector: ${selector}`);
break;
}
} catch (e) {
// Continue to next selector
}
}
if (!emailInput || !(await emailInput.isVisible())) {
console.log('❌ No email input found with any selector');
// Try to find any input fields
const allInputs = await page.locator('input').all();
console.log(`📝 Found ${allInputs.length} total input elements`);
for (let i = 0; i < allInputs.length; i++) {
const input = allInputs[i];
try {
const type = await input.getAttribute('type');
const name = await input.getAttribute('name');
const id = await input.getAttribute('id');
const placeholder = await input.getAttribute('placeholder');
const isVisible = await input.isVisible();
console.log(` Input ${i + 1}: type="${type}", name="${name}", id="${id}", placeholder="${placeholder}", visible=${isVisible}`);
} catch (e) {
console.log(` Input ${i + 1}: Error getting attributes - ${e.message}`);
}
}
}
// Check for iframes
const frames = page.frames();
console.log(`🖼️ Found ${frames.length} frames on the page`);
for (let i = 0; i < frames.length; i++) {
const frame = frames[i];
try {
const url = frame.url();
const name = frame.name();
console.log(` Frame ${i + 1}: url="${url}", name="${name}"`);
// Check for inputs in each iframe
if (url && url !== 'about:blank') {
try {
const frameInputs = await frame.locator('input').all();
console.log(` Found ${frameInputs.length} inputs in this frame`);
for (let j = 0; j < frameInputs.length; j++) {
const input = frameInputs[j];
try {
const type = await input.getAttribute('type');
const name = await input.getAttribute('name');
const placeholder = await input.getAttribute('placeholder');
console.log(` Frame input ${j + 1}: type="${type}", name="${name}", placeholder="${placeholder}"`);
} catch (e) {
console.log(` Frame input ${j + 1}: Error - ${e.message}`);
}
}
} catch (e) {
console.log(` Error checking frame inputs: ${e.message}`);
}
}
} catch (e) {
console.log(` Frame ${i + 1}: Error - ${e.message}`);
}
}
// Wait for user interaction
console.log('\n🎮 Browser is open for manual inspection. Press Ctrl+C to close when done.');
console.log('💡 Try to find the login form manually and note down the correct selectors.');
// Keep the browser open for manual inspection
await page.waitForTimeout(300000); // Wait 5 minutes
} catch (error) {
console.error('❌ Error during debug:', error);
await page.screenshot({ path: './debug-tradingview-error.png', fullPage: true });
} finally {
console.log('🔚 Closing browser...');
await browser.close();
}
}
// Handle Ctrl+C to close gracefully
process.on('SIGINT', () => {
console.log('\n👋 Received SIGINT, closing browser...');
process.exit(0);
});
debugTradingViewLogin().catch(console.error);

View File

@@ -0,0 +1,31 @@
# Docker Compose override for development
# This file is automatically merged with docker-compose.yml in development
# Use: docker compose up (will automatically include this file)
services:
app:
# Development-specific settings
environment:
- NODE_ENV=development
- NEXT_TELEMETRY_DISABLED=1
# Enable hot reloading for development
volumes:
- ./:/app
- /app/node_modules
- ./screenshots:/app/screenshots
- ./videos:/app/videos
- ./.env:/app/.env # Mount .env file for development
# Override command for development
command: ["npm", "run", "dev"]
# Expose additional ports for debugging if needed
ports:
- "3000:3000"
- "9229:9229" # Node.js debugging port
# Add development labels
labels:
- "traefik.enable=false"
- "dev.local=true"

46
docker-compose.prod.yml Normal file
View File

@@ -0,0 +1,46 @@
# Docker Compose for production
# Use: docker compose -f docker-compose.yml -f docker-compose.prod.yml up
services:
app:
# Production-specific settings
environment:
- NODE_ENV=production
- DOCKER_ENV=true
# Production command
command: ["npm", "start"]
# Only expose necessary port
ports:
- "3000:3000"
# Production volumes (no source code mounting)
volumes:
- ./screenshots:/app/screenshots
- ./videos:/app/videos
- ./.env.production:/app/.env
# Production labels
labels:
- "traefik.enable=true"
- "traefik.http.routers.trading-bot.rule=Host(`trading-bot.local`)"
# Resource limits for production
deploy:
resources:
limits:
memory: 2G
reservations:
memory: 1G
# Restart policy
restart: unless-stopped
# Health check
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:3000/api/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 60s

View File

@@ -1,20 +1,38 @@
version: '3.8'
services: services:
app: app:
build: . build:
ports: context: .
- "3000:3000" dockerfile: Dockerfile
volumes:
- ./:/app # Base environment variables (common to all environments)
- /app/node_modules
- ./screenshots:/app/screenshots
environment: environment:
- NODE_ENV=development - DOCKER_ENV=true
- PUPPETEER_SKIP_CHROMIUM_DOWNLOAD=true - PUPPETEER_SKIP_CHROMIUM_DOWNLOAD=true
- PUPPETEER_EXECUTABLE_PATH=/usr/bin/chromium - PUPPETEER_EXECUTABLE_PATH=/usr/bin/chromium
- TRADINGVIEW_RECORD_VIDEO=true
- TZ=Europe/Berlin - TZ=Europe/Berlin
# Playwright/TradingView automation settings
- CHROMIUM_PATH=/usr/bin/chromium
- DISABLE_CHROME_SANDBOX=true
- DISPLAY=:99
# Load environment variables from .env file
env_file: env_file:
- .env - .env
# Uncomment for debugging
# command: ["npm", "run", "dev"] # Default port mapping
# entrypoint: ["/bin/bash"] ports:
- "3000:3000"
# Base volumes
volumes:
- ./screenshots:/app/screenshots
- ./videos:/app/videos
# Health check
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:3000/ || exit 1"]
interval: 30s
timeout: 10s
retries: 3
start_period: 30s

View File

@@ -1,6 +1,8 @@
import OpenAI from 'openai' import OpenAI from 'openai'
import fs from 'fs/promises' import fs from 'fs/promises'
import path from 'path' import path from 'path'
import { enhancedScreenshotService, ScreenshotConfig } from './enhanced-screenshot'
import { TradingViewCredentials } from './tradingview-automation'
const openai = new OpenAI({ const openai = new OpenAI({
apiKey: process.env.OPENAI_API_KEY, apiKey: process.env.OPENAI_API_KEY,
@@ -16,6 +18,27 @@ export interface AnalysisResult {
recommendation: 'BUY' | 'SELL' | 'HOLD' recommendation: 'BUY' | 'SELL' | 'HOLD'
confidence: number // 0-100 confidence: number // 0-100
reasoning: string reasoning: string
// Enhanced trading analysis (optional)
entry?: {
price: number
buffer?: string
rationale: string
}
stopLoss?: {
price: number
rationale: string
}
takeProfits?: {
tp1?: { price: number; description: string }
tp2?: { price: number; description: string }
}
riskToReward?: string
confirmationTrigger?: string
indicatorAnalysis?: {
rsi?: string
vwap?: string
obv?: string
}
} }
export class AIAnalysisService { export class AIAnalysisService {
@@ -70,7 +93,27 @@ Return your answer as a JSON object with the following structure:
}, },
"recommendation": "BUY" | "SELL" | "HOLD", "recommendation": "BUY" | "SELL" | "HOLD",
"confidence": number (0-100), "confidence": number (0-100),
"reasoning": "Detailed reasoning with specific levels, indicators, and confirmation triggers" "reasoning": "Detailed reasoning with specific levels, indicators, and confirmation triggers",
"entry": {
"price": number,
"buffer": "string describing entry buffer",
"rationale": "string explaining entry logic"
},
"stopLoss": {
"price": number,
"rationale": "string explaining stop loss placement"
},
"takeProfits": {
"tp1": { "price": number, "description": "string" },
"tp2": { "price": number, "description": "string" }
},
"riskToReward": "string like '1:2.5 - Risking $X to gain $Y'",
"confirmationTrigger": "string describing exact signal to wait for",
"indicatorAnalysis": {
"rsi": "string describing RSI behavior",
"vwap": "string describing VWAP behavior",
"obv": "string describing OBV behavior"
}
} }
Be concise but thorough. Only return valid JSON.` Be concise but thorough. Only return valid JSON.`
@@ -92,10 +135,34 @@ Be concise but thorough. Only return valid JSON.`
// Extract JSON from response // Extract JSON from response
const match = content.match(/\{[\s\S]*\}/) const match = content.match(/\{[\s\S]*\}/)
if (!match) return null if (!match) return null
const json = match[0] const json = match[0]
console.log('Raw JSON from AI:', json)
const result = JSON.parse(json) const result = JSON.parse(json)
console.log('Parsed result:', result)
// Sanitize the result to ensure no nested objects cause React issues
const sanitizedResult = {
summary: typeof result.summary === 'string' ? result.summary : String(result.summary || ''),
marketSentiment: result.marketSentiment || 'NEUTRAL',
keyLevels: {
support: Array.isArray(result.keyLevels?.support) ? result.keyLevels.support : [],
resistance: Array.isArray(result.keyLevels?.resistance) ? result.keyLevels.resistance : []
},
recommendation: result.recommendation || 'HOLD',
confidence: typeof result.confidence === 'number' ? result.confidence : 0,
reasoning: typeof result.reasoning === 'string' ? result.reasoning : String(result.reasoning || ''),
...(result.entry && { entry: result.entry }),
...(result.stopLoss && { stopLoss: result.stopLoss }),
...(result.takeProfits && { takeProfits: result.takeProfits }),
...(result.riskToReward && { riskToReward: String(result.riskToReward) }),
...(result.confirmationTrigger && { confirmationTrigger: String(result.confirmationTrigger) }),
...(result.indicatorAnalysis && { indicatorAnalysis: result.indicatorAnalysis })
}
// Optionally: validate result structure here // Optionally: validate result structure here
return result as AnalysisResult return sanitizedResult as AnalysisResult
} catch (e) { } catch (e) {
console.error('AI analysis error:', e) console.error('AI analysis error:', e)
return null return null
@@ -114,10 +181,16 @@ Be concise but thorough. Only return valid JSON.`
images.push({ type: "image_url", image_url: { url: `data:image/png;base64,${base64Image}` } }) images.push({ type: "image_url", image_url: { url: `data:image/png;base64,${base64Image}` } })
} }
const prompt = `You are now a professional trading assistant focused on short-term crypto trading using 515min timeframes. You behave with the precision and decisiveness of a top proprietary desk trader. No vagueness, no fluff. const prompt = `You are an expert crypto trading analyst with advanced vision capabilities. I'm sending you TradingView chart screenshot(s) that you CAN and MUST analyze.
**IMPORTANT: You have full image analysis capabilities. Please analyze the TradingView chart images I'm providing.**
Analyze the attached TradingView chart screenshots (multiple layouts of the same symbol) and provide a comprehensive trading analysis by combining insights from all charts. Analyze the attached TradingView chart screenshots (multiple layouts of the same symbol) and provide a comprehensive trading analysis by combining insights from all charts.
### TRADING ANALYSIS REQUIREMENTS:
You are a professional trading assistant focused on short-term crypto trading using 515min timeframes. You behave with the precision and decisiveness of a top proprietary desk trader. No vagueness, no fluff.
### WHEN GIVING A TRADE SETUP: ### WHEN GIVING A TRADE SETUP:
Be 100% SPECIFIC. Provide: Be 100% SPECIFIC. Provide:
@@ -149,6 +222,8 @@ Be 100% SPECIFIC. Provide:
Cross-reference all layouts to provide the most accurate analysis. If layouts show conflicting signals, explain which one takes priority and why. Cross-reference all layouts to provide the most accurate analysis. If layouts show conflicting signals, explain which one takes priority and why.
**CRITICAL: You MUST analyze the actual chart images provided. Do not respond with generic advice.**
Return your answer as a JSON object with the following structure: Return your answer as a JSON object with the following structure:
{ {
"summary": "Brief market summary combining all layouts", "summary": "Brief market summary combining all layouts",
@@ -159,23 +234,43 @@ Return your answer as a JSON object with the following structure:
}, },
"recommendation": "BUY" | "SELL" | "HOLD", "recommendation": "BUY" | "SELL" | "HOLD",
"confidence": number (0-100), "confidence": number (0-100),
"reasoning": "Detailed reasoning with specific levels, indicators, and confirmation triggers from all layouts" "reasoning": "Detailed reasoning with specific levels, indicators, and confirmation triggers from all layouts",
"entry": {
"price": number,
"buffer": "string describing entry buffer",
"rationale": "string explaining entry logic"
},
"stopLoss": {
"price": number,
"rationale": "string explaining stop loss placement"
},
"takeProfits": {
"tp1": { "price": number, "description": "string" },
"tp2": { "price": number, "description": "string" }
},
"riskToReward": "string like '1:2.5 - Risking $X to gain $Y'",
"confirmationTrigger": "string describing exact signal to wait for",
"indicatorAnalysis": {
"rsi": "string describing RSI behavior",
"vwap": "string describing VWAP behavior",
"obv": "string describing OBV behavior"
}
} }
Be concise but thorough. Only return valid JSON.` Be concise but thorough. Only return valid JSON.`
const response = await openai.chat.completions.create({ const response = await openai.chat.completions.create({
model: "gpt-4o", model: "gpt-4o", // gpt-4o has better vision capabilities than gpt-4-vision-preview
messages: [ messages: [
{ {
role: "user", role: "user",
content: [ content: [
{ type: "text", text: prompt }, { type: "text", text: prompt },
...images ...images
] ]
} }
], ],
max_tokens: 1500, max_tokens: 2000, // Increased for more detailed analysis
temperature: 0.1 temperature: 0.1
}) })
@@ -197,18 +292,152 @@ Be concise but thorough. Only return valid JSON.`
const analysis = JSON.parse(jsonMatch[0]) const analysis = JSON.parse(jsonMatch[0])
// Sanitize the analysis result to ensure no nested objects cause React issues
const sanitizedAnalysis = {
summary: typeof analysis.summary === 'string' ? analysis.summary : String(analysis.summary || ''),
marketSentiment: analysis.marketSentiment || 'NEUTRAL',
keyLevels: {
support: Array.isArray(analysis.keyLevels?.support) ? analysis.keyLevels.support : [],
resistance: Array.isArray(analysis.keyLevels?.resistance) ? analysis.keyLevels.resistance : []
},
recommendation: analysis.recommendation || 'HOLD',
confidence: typeof analysis.confidence === 'number' ? analysis.confidence : 0,
reasoning: typeof analysis.reasoning === 'string' ? analysis.reasoning : String(analysis.reasoning || ''),
...(analysis.entry && { entry: analysis.entry }),
...(analysis.stopLoss && { stopLoss: analysis.stopLoss }),
...(analysis.takeProfits && { takeProfits: analysis.takeProfits }),
...(analysis.riskToReward && { riskToReward: String(analysis.riskToReward) }),
...(analysis.confirmationTrigger && { confirmationTrigger: String(analysis.confirmationTrigger) }),
...(analysis.indicatorAnalysis && { indicatorAnalysis: analysis.indicatorAnalysis })
}
// Validate the structure // Validate the structure
if (!analysis.summary || !analysis.marketSentiment || !analysis.recommendation || !analysis.confidence) { if (!sanitizedAnalysis.summary || !sanitizedAnalysis.marketSentiment || !sanitizedAnalysis.recommendation || typeof sanitizedAnalysis.confidence !== 'number') {
console.error('Invalid analysis structure:', analysis) console.error('Invalid analysis structure:', sanitizedAnalysis)
throw new Error('Invalid analysis structure') throw new Error('Invalid analysis structure')
} }
return analysis return sanitizedAnalysis
} catch (error) { } catch (error) {
console.error('AI multi-analysis error:', error) console.error('AI multi-analysis error:', error)
return null return null
} }
} }
async captureAndAnalyze(
symbol: string,
timeframe: string,
credentials: TradingViewCredentials
): Promise<AnalysisResult | null> {
try {
console.log(`Starting automated capture and analysis for ${symbol} ${timeframe}`)
// Capture screenshot using automation
const screenshot = await enhancedScreenshotService.captureQuick(symbol, timeframe, credentials)
if (!screenshot) {
throw new Error('Failed to capture screenshot')
}
console.log(`Screenshot captured: ${screenshot}`)
// Analyze the captured screenshot
const analysis = await this.analyzeScreenshot(screenshot)
if (!analysis) {
throw new Error('Failed to analyze screenshot')
}
console.log(`Analysis completed for ${symbol} ${timeframe}`)
return analysis
} catch (error) {
console.error('Automated capture and analysis failed:', error)
return null
}
}
async captureAndAnalyzeMultiple(
symbols: string[],
timeframes: string[],
credentials: TradingViewCredentials
): Promise<Array<{ symbol: string; timeframe: string; analysis: AnalysisResult | null }>> {
const results: Array<{ symbol: string; timeframe: string; analysis: AnalysisResult | null }> = []
for (const symbol of symbols) {
for (const timeframe of timeframes) {
try {
console.log(`Processing ${symbol} ${timeframe}...`)
const analysis = await this.captureAndAnalyze(symbol, timeframe, credentials)
results.push({
symbol,
timeframe,
analysis
})
// Small delay between captures to avoid overwhelming the system
await new Promise(resolve => setTimeout(resolve, 2000))
} catch (error) {
console.error(`Failed to process ${symbol} ${timeframe}:`, error)
results.push({
symbol,
timeframe,
analysis: null
})
}
}
}
return results
}
async captureAndAnalyzeWithConfig(config: ScreenshotConfig): Promise<{
screenshots: string[]
analysis: AnalysisResult | null
}> {
try {
console.log(`Starting automated capture with config for ${config.symbol} ${config.timeframe}`)
// Capture screenshots using enhanced service
const screenshots = await enhancedScreenshotService.captureWithLogin(config)
if (screenshots.length === 0) {
throw new Error('No screenshots captured')
}
console.log(`${screenshots.length} screenshot(s) captured`)
let analysis: AnalysisResult | null = null
if (screenshots.length === 1) {
// Single screenshot analysis
analysis = await this.analyzeScreenshot(screenshots[0])
} else {
// Multiple screenshots analysis
analysis = await this.analyzeMultipleScreenshots(screenshots)
}
if (!analysis) {
throw new Error('Failed to analyze screenshots')
}
console.log(`Analysis completed for ${config.symbol} ${config.timeframe}`)
return {
screenshots,
analysis
}
} catch (error) {
console.error('Automated capture and analysis with config failed:', error)
return {
screenshots: [],
analysis: null
}
}
}
} }
export const aiAnalysisService = new AIAnalysisService() export const aiAnalysisService = new AIAnalysisService()

View File

@@ -1,4 +1,4 @@
import { tradingViewCapture } from './tradingview' import { enhancedScreenshotService } from './enhanced-screenshot'
import { aiAnalysisService } from './ai-analysis' import { aiAnalysisService } from './ai-analysis'
import prisma from './prisma' import prisma from './prisma'
@@ -40,7 +40,9 @@ export class AutoTradingService {
if ((this.dailyTradeCount[symbol] || 0) >= this.config.maxDailyTrades) continue if ((this.dailyTradeCount[symbol] || 0) >= this.config.maxDailyTrades) continue
// 1. Capture screenshot // 1. Capture screenshot
const filename = `${symbol}_${Date.now()}.png` const filename = `${symbol}_${Date.now()}.png`
const screenshotPath = await tradingViewCapture.capture(symbol, filename) const screenshots = await enhancedScreenshotService.capture(symbol, filename)
const screenshotPath = screenshots.length > 0 ? screenshots[0] : null
if (!screenshotPath) continue
// 2. Analyze screenshot // 2. Analyze screenshot
const analysis = await aiAnalysisService.analyzeScreenshot(filename) const analysis = await aiAnalysisService.analyzeScreenshot(filename)
if (!analysis || analysis.confidence < this.config.confidenceThreshold) continue if (!analysis || analysis.confidence < this.config.confidenceThreshold) continue

201
lib/enhanced-screenshot.ts Normal file
View File

@@ -0,0 +1,201 @@
import { tradingViewAutomation, TradingViewCredentials, NavigationOptions } from './tradingview-automation'
import fs from 'fs/promises'
import path from 'path'
export interface ScreenshotConfig {
symbol: string
timeframe: string
layouts?: string[] // Multiple chart layouts if needed
credentials?: TradingViewCredentials // Optional if using .env
}
export class EnhancedScreenshotService {
async captureWithLogin(config: ScreenshotConfig): Promise<string[]> {
const screenshotFiles: string[] = []
try {
// Ensure screenshots directory exists
const screenshotsDir = path.join(process.cwd(), 'screenshots')
await fs.mkdir(screenshotsDir, { recursive: true })
console.log('Initializing TradingView automation for Docker container...')
// Initialize automation with Docker-optimized settings
await tradingViewAutomation.init()
// Check if already logged in
const alreadyLoggedIn = await tradingViewAutomation.isLoggedIn()
if (!alreadyLoggedIn) {
console.log('Attempting TradingView login...')
const loginSuccess = await tradingViewAutomation.login(config.credentials)
if (!loginSuccess) {
throw new Error('Login failed')
}
} else {
console.log('Already logged in to TradingView')
}
// Navigate to chart
const navOptions: NavigationOptions = {
symbol: config.symbol,
timeframe: config.timeframe,
waitForChart: true
}
console.log(`Navigating to ${config.symbol} chart...`)
const navSuccess = await tradingViewAutomation.navigateToChart(navOptions)
if (!navSuccess) {
throw new Error('Chart navigation failed')
}
// Wait for chart data to fully load
const chartLoaded = await tradingViewAutomation.waitForChartData()
if (!chartLoaded) {
console.warn('Chart data may not be fully loaded, proceeding with screenshot anyway')
}
// Take screenshot
const timestamp = Date.now()
const filename = `${config.symbol}_${config.timeframe}_${timestamp}_ai.png`
console.log(`Taking screenshot: ${filename}`)
const screenshotFile = await tradingViewAutomation.takeScreenshot(filename)
screenshotFiles.push(screenshotFile)
// If multiple layouts are needed, handle them here
if (config.layouts && config.layouts.length > 0) {
for (const layout of config.layouts) {
// Logic to switch to different layouts would go here
// This depends on your specific TradingView setup
const layoutFilename = `${config.symbol}_${config.timeframe}_${layout}_${timestamp}_ai.png`
const layoutScreenshot = await tradingViewAutomation.takeScreenshot(layoutFilename)
screenshotFiles.push(layoutScreenshot)
}
}
console.log(`Successfully captured ${screenshotFiles.length} screenshot(s)`)
return screenshotFiles
} catch (error) {
console.error('Enhanced screenshot capture failed:', error)
throw error
} finally {
// Always cleanup
await tradingViewAutomation.close()
}
}
async captureQuick(symbol: string, timeframe: string, credentials: TradingViewCredentials): Promise<string | null> {
try {
const config: ScreenshotConfig = {
symbol,
timeframe,
credentials
}
const screenshots = await this.captureWithLogin(config)
return screenshots.length > 0 ? screenshots[0] : null
} catch (error) {
console.error('Quick screenshot capture failed:', error)
return null
}
}
async captureMultipleTimeframes(
symbol: string,
timeframes: string[],
credentials: TradingViewCredentials
): Promise<string[]> {
const allScreenshots: string[] = []
for (const timeframe of timeframes) {
try {
console.log(`Capturing ${symbol} ${timeframe} chart...`)
const screenshot = await this.captureQuick(symbol, timeframe, credentials)
if (screenshot) {
allScreenshots.push(screenshot)
}
} catch (error) {
console.error(`Failed to capture ${symbol} ${timeframe}:`, error)
}
}
return allScreenshots
}
// Method to check if we can access TradingView in Docker environment
async healthCheck(): Promise<{ status: 'ok' | 'error'; message: string }> {
try {
console.log('Performing TradingView health check in Docker...')
await tradingViewAutomation.init()
// Navigate to TradingView homepage to check accessibility
const page = (tradingViewAutomation as any).page
if (!page) {
return { status: 'error', message: 'Failed to initialize browser page in Docker' }
}
await page.goto('https://www.tradingview.com/', {
waitUntil: 'networkidle',
timeout: 30000
})
const currentUrl = await tradingViewAutomation.getCurrentUrl()
if (currentUrl.includes('tradingview.com')) {
return { status: 'ok', message: 'TradingView is accessible from Docker container' }
} else {
return { status: 'error', message: 'TradingView is not accessible from Docker container' }
}
} catch (error) {
return { status: 'error', message: `TradingView health check failed: ${error}` }
} finally {
await tradingViewAutomation.close()
}
}
// Method to verify credentials in Docker environment
async verifyCredentials(credentials?: TradingViewCredentials): Promise<boolean> {
try {
console.log('Verifying TradingView credentials in Docker...')
await tradingViewAutomation.init()
const loginSuccess = await tradingViewAutomation.login(credentials)
return loginSuccess
} catch (error) {
console.error('Credential verification error in Docker:', error)
return false
} finally {
await tradingViewAutomation.close()
}
}
// Backward compatibility method - matches old tradingViewCapture.capture() API
async capture(symbol: string, filename: string, layouts?: string[], timeframe?: string): Promise<string[]> {
try {
console.log(`Starting Playwright-based capture for ${symbol} in Docker container`)
const config: ScreenshotConfig = {
symbol: symbol,
timeframe: timeframe || '5', // Default to 5-minute timeframe
layouts: layouts || []
}
const screenshots = await this.captureWithLogin(config)
// Return full paths to screenshots for backward compatibility
const screenshotsDir = path.join(process.cwd(), 'screenshots')
return screenshots.map(filename => path.join(screenshotsDir, filename))
} catch (error) {
console.error('Backward compatible capture failed:', error)
throw error
}
}
}
export const enhancedScreenshotService = new EnhancedScreenshotService()

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View File

@@ -3,6 +3,16 @@ import path from 'path'
import fs from 'fs/promises' import fs from 'fs/promises'
import { settingsManager } from './settings' import { settingsManager } from './settings'
// Video recording support - Simple implementation without external dependencies
let isRecordingSupported = true
try {
// Test if we can use basic screenshot recording
require('fs/promises')
} catch (e) {
console.warn('Basic video recording not available')
isRecordingSupported = false
}
const TRADINGVIEW_EMAIL = process.env.TRADINGVIEW_EMAIL const TRADINGVIEW_EMAIL = process.env.TRADINGVIEW_EMAIL
const TRADINGVIEW_PASSWORD = process.env.TRADINGVIEW_PASSWORD const TRADINGVIEW_PASSWORD = process.env.TRADINGVIEW_PASSWORD
const TRADINGVIEW_LAYOUTS = (process.env.TRADINGVIEW_LAYOUTS || '').split(',').map(l => l.trim()) const TRADINGVIEW_LAYOUTS = (process.env.TRADINGVIEW_LAYOUTS || '').split(',').map(l => l.trim())
@@ -15,27 +25,80 @@ const LAYOUT_URLS: { [key: string]: string } = {
// Add more layout mappings as needed // Add more layout mappings as needed
} }
// Construct layout URL with hash parameters
const getLayoutUrl = (layoutId: string, symbol: string, timeframe?: string): string => {
const baseParams = `symbol=${symbol}${timeframe ? `&interval=${encodeURIComponent(timeframe)}` : ''}`
return `https://www.tradingview.com/chart/${layoutId}/#${baseParams}`
}
export class TradingViewCapture { export class TradingViewCapture {
private browser: Browser | null = null private browser: Browser | null = null
private page: Page | null = null private page: Page | null = null
private loggedIn = false private loggedIn = false
private recorder: any = null
private async debugScreenshot(step: string, page: Page): Promise<void> {
try {
const timestamp = Date.now()
const filename = `debug_${step.replace(/[^a-zA-Z0-9]/g, '_')}_${timestamp}.png`
const screenshotsDir = path.join(process.cwd(), 'screenshots')
await fs.mkdir(screenshotsDir, { recursive: true })
const filePath = path.join(screenshotsDir, filename)
await page.screenshot({ path: filePath as `${string}.png`, type: 'png', fullPage: true })
// Also get page info for debugging
const pageInfo = await page.evaluate(() => ({
url: window.location.href,
title: document.title,
hasChart: document.querySelector('.chart-container, [data-name="chart"], canvas') !== null,
bodyText: document.body.textContent?.substring(0, 500) || ''
}))
console.log(`🔍 DEBUG Screenshot [${step}]: ${filePath}`)
console.log(`📄 Page Info:`, pageInfo)
} catch (e) {
console.error(`Failed to take debug screenshot for step ${step}:`, e)
}
}
async init() { async init() {
if (!this.browser) { if (!this.browser) {
// Check for debug mode from environment variable
const isDebugMode = process.env.TRADINGVIEW_DEBUG === 'true'
const isDocker = process.env.DOCKER_ENV === 'true' || process.env.NODE_ENV === 'production'
// Docker-optimized browser args
const dockerArgs = [
'--no-sandbox',
'--disable-setuid-sandbox',
'--disable-dev-shm-usage',
'--disable-accelerated-2d-canvas',
'--no-first-run',
'--no-zygote',
'--disable-gpu',
'--disable-background-timer-throttling',
'--disable-backgrounding-occluded-windows',
'--disable-renderer-backgrounding',
'--disable-features=TranslateUI',
'--disable-ipc-flooding-protection',
'--memory-pressure-off',
'--max_old_space_size=4096'
]
// Additional args for non-Docker debug mode
const debugArgs = isDebugMode && !isDocker ? ['--start-maximized'] : []
this.browser = await puppeteer.launch({ this.browser = await puppeteer.launch({
headless: true, headless: isDocker ? true : !isDebugMode, // Always headless in Docker
args: [ devtools: isDebugMode && !isDocker, // DevTools only in local debug mode
'--no-sandbox', slowMo: isDebugMode ? 250 : 0, // Slow down actions in debug mode
'--disable-setuid-sandbox', args: [...dockerArgs, ...debugArgs],
'--disable-dev-shm-usage',
'--disable-accelerated-2d-canvas',
'--no-first-run',
'--no-zygote',
'--disable-gpu'
],
executablePath: PUPPETEER_EXECUTABLE_PATH executablePath: PUPPETEER_EXECUTABLE_PATH
}) })
console.log('Puppeteer browser launched')
const mode = isDocker ? 'Docker headless mode' : (isDebugMode ? 'visible debug mode' : 'headless mode')
console.log(`Puppeteer browser launched (${mode})`)
} }
if (!this.page) { if (!this.page) {
this.page = await this.browser.newPage() this.page = await this.browser.newPage()
@@ -55,68 +118,131 @@ export class TradingViewCapture {
throw new Error('TradingView credentials not set in .env') throw new Error('TradingView credentials not set in .env')
} }
const page = this.page || (await this.browser!.newPage()) const page = this.page || (await this.browser!.newPage())
// Start video recording for login process
await this.startVideoRecording('login_process')
console.log('Navigating to TradingView login page...') console.log('Navigating to TradingView login page...')
await page.goto('https://www.tradingview.com/#signin', { waitUntil: 'networkidle2' }) await page.goto('https://www.tradingview.com/#signin', { waitUntil: 'networkidle2' })
// Check if we're already logged in // Debug screenshot after initial navigation
await this.debugScreenshot('login_01_initial_page', page)
// Check if we're already properly logged in with our account
try { try {
const loggedInIndicator = await page.waitForSelector('.tv-header__user-menu-button, [data-name="header-user-menu"]', { timeout: 3000 }) const loggedInIndicator = await page.waitForSelector('.tv-header__user-menu-button, [data-name="header-user-menu"]', { timeout: 3000 })
if (loggedInIndicator) { if (loggedInIndicator) {
console.log('Already logged in to TradingView') // Check if we're logged in with our specific account by looking for account-specific elements
// Reset the loggedIn flag to true to ensure we don't re-login unnecessarily const isProperlyLoggedIn = await page.evaluate(() => {
this.loggedIn = true // Look for specific logged-in indicators that show we have an actual account
return const hasUserMenu = document.querySelector('.tv-header__user-menu-button, [data-name="header-user-menu"]') !== null
const notGuestSession = !document.body.textContent?.includes('Guest') &&
!document.body.textContent?.includes('Sign up') &&
!document.body.textContent?.includes('Get started for free')
return hasUserMenu && notGuestSession
})
if (isProperlyLoggedIn) {
console.log('Already properly logged in to TradingView with account')
await this.debugScreenshot('login_02_already_logged_in', page)
this.loggedIn = true
return
} else {
console.log('Detected guest session, forcing proper login...')
await this.debugScreenshot('login_02b_guest_session_detected', page)
// Force logout first, then login
try {
await page.goto('https://www.tradingview.com/accounts/logout/', { waitUntil: 'networkidle2', timeout: 10000 })
await new Promise(res => setTimeout(res, 2000))
} catch (e) {
console.log('Logout attempt completed, proceeding with login...')
}
}
} }
} catch (e) { } catch (e) {
console.log('Not logged in yet, proceeding with login...') console.log('Not logged in yet, proceeding with login...')
await this.debugScreenshot('login_03_not_logged_in', page)
} }
// Reset login flag since we need to login // Reset login flag since we need to login
this.loggedIn = false this.loggedIn = false
// Navigate to fresh login page
console.log('Navigating to fresh login page...')
await page.goto('https://www.tradingview.com/accounts/signin/', { waitUntil: 'networkidle2', timeout: 30000 })
await this.debugScreenshot('login_04_fresh_login_page', page)
try { try {
// Wait for the login modal to appear and look for email input directly // Wait for the page to load and look for login form
console.log('Looking for email input field...') console.log('Looking for login form...')
await page.waitForSelector('form, input[type="email"], input[name="username"]', { timeout: 10000 })
// Try to find the email input field directly (new TradingView layout) // Look for email input field with multiple selectors
const emailInput = await page.waitForSelector('input[name="username"], input[name="email"], input[type="email"], input[placeholder*="email" i]', { timeout: 10000 }) let emailInput = await page.$('input[name="username"]') ||
await page.$('input[name="email"]') ||
await page.$('input[type="email"]') ||
await page.$('input[placeholder*="email" i]')
if (emailInput) { if (!emailInput) {
console.log('Found email input field directly') // Try to find and click "Email" button if login options are presented
await emailInput.click() // Click to focus console.log('Looking for email login option...')
await emailInput.type(TRADINGVIEW_EMAIL, { delay: 50 }) const emailButton = await page.evaluateHandle(() => {
const buttons = Array.from(document.querySelectorAll('button, a, div[role="button"]'))
return buttons.find(btn => {
const text = btn.textContent?.toLowerCase() || ''
return text.includes('email') || text.includes('continue with email') || text.includes('sign in with email')
})
})
// Find password field if (emailButton.asElement()) {
const passwordInput = await page.waitForSelector('input[name="password"], input[type="password"], input[placeholder*="password" i]', { timeout: 5000 }) console.log('Found email login button, clicking...')
if (!passwordInput) { await emailButton.asElement()?.click()
throw new Error('Could not find password input field') await new Promise(res => setTimeout(res, 2000))
await this.debugScreenshot('login_04b_after_email_button', page)
// Now look for email input again
emailInput = await page.waitForSelector('input[name="username"], input[name="email"], input[type="email"]', { timeout: 10000 })
} }
await passwordInput.click() // Click to focus }
await passwordInput.type(TRADINGVIEW_PASSWORD, { delay: 50 })
if (!emailInput) {
// Find and click the sign in button
const signInButton = await page.waitForSelector('button[type="submit"]', { timeout: 5000 })
if (!signInButton) {
// Try to find button with sign in text
const buttons = await page.$$('button')
let foundButton = null
for (const btn of buttons) {
const text = await page.evaluate(el => el.innerText || el.textContent, btn)
if (text && (text.toLowerCase().includes('sign in') || text.toLowerCase().includes('login'))) {
foundButton = btn
break
}
}
if (!foundButton) {
throw new Error('Could not find sign in button')
}
await foundButton.click()
} else {
await signInButton.click()
}
} else {
throw new Error('Could not find email input field') throw new Error('Could not find email input field')
} }
console.log('Found email input, filling credentials...')
await emailInput.click() // Click to focus
await emailInput.type(TRADINGVIEW_EMAIL, { delay: 50 })
// Find password field
const passwordInput = await page.waitForSelector('input[name="password"], input[type="password"]', { timeout: 5000 })
if (!passwordInput) {
throw new Error('Could not find password input field')
}
await passwordInput.click() // Click to focus
await passwordInput.type(TRADINGVIEW_PASSWORD, { delay: 50 })
await this.debugScreenshot('login_05_credentials_filled', page)
// Find and click the sign in button
let signInButton = await page.$('button[type="submit"]')
if (!signInButton) {
// Look for button with sign in text
signInButton = await page.evaluateHandle(() => {
const buttons = Array.from(document.querySelectorAll('button'))
return buttons.find(btn => {
const text = btn.textContent?.toLowerCase() || ''
return text.includes('sign in') || text.includes('login') || text.includes('submit')
})
}).then(handle => handle.asElement())
}
if (!signInButton) {
throw new Error('Could not find sign in button')
}
console.log('Clicking sign in button...')
await signInButton.click()
await this.debugScreenshot('login_06_after_signin_click', page)
} catch (e) { } catch (e) {
// Fallback: try to find email button first // Fallback: try to find email button first
console.log('Fallback: looking for email button...') console.log('Fallback: looking for email button...')
@@ -191,11 +317,72 @@ export class TradingViewCapture {
try { try {
console.log('Waiting for login to complete...') console.log('Waiting for login to complete...')
await page.waitForSelector('.tv-header__user-menu-button, .chart-container, [data-name="header-user-menu"]', { timeout: 30000 }) await page.waitForSelector('.tv-header__user-menu-button, .chart-container, [data-name="header-user-menu"]', { timeout: 30000 })
// Check if we're on the Supercharts selection page
const isSuperchartsPage = await page.evaluate(() => {
const text = document.body.textContent || ''
return text.includes('Supercharts') && text.includes('The one terminal to rule them all')
})
if (isSuperchartsPage) {
console.log('🎯 On Supercharts selection page, clicking Supercharts...')
// Look for Supercharts button/link
let superchartsClicked = false
// Try different approaches to find and click Supercharts
try {
// Approach 1: Look for direct link to chart
const chartLink = await page.$('a[href*="/chart"]')
if (chartLink) {
console.log('Found direct chart link, clicking...')
await chartLink.click()
superchartsClicked = true
}
} catch (e) {
console.log('Direct chart link not found, trying text-based search...')
}
if (!superchartsClicked) {
// Approach 2: Find by text content
const clicked = await page.evaluate(() => {
const elements = Array.from(document.querySelectorAll('a, button, div[role="button"]'))
for (const el of elements) {
if (el.textContent?.includes('Supercharts')) {
(el as HTMLElement).click()
return true
}
}
return false
})
superchartsClicked = clicked
}
if (superchartsClicked) {
console.log('✅ Clicked Supercharts, waiting for charts interface...')
// Wait for navigation to charts interface
await new Promise(res => setTimeout(res, 3000))
await page.waitForSelector('.chart-container, [data-name="chart"]', { timeout: 15000 })
console.log('✅ Successfully navigated to Supercharts interface')
} else {
console.log('⚠️ Supercharts button not found, trying direct navigation...')
// Fallback: navigate directly to charts
await page.goto('https://www.tradingview.com/chart/', { waitUntil: 'networkidle2', timeout: 30000 })
}
}
this.loggedIn = true this.loggedIn = true
console.log('TradingView login complete') console.log('TradingView login complete')
await this.debugScreenshot('login_04_complete', page)
// Stop video recording
await this.stopVideoRecording()
} catch (e) { } catch (e) {
console.error('Login navigation did not complete.') console.error('Login navigation did not complete.')
this.loggedIn = false this.loggedIn = false
// Stop video recording on error
await this.stopVideoRecording()
throw new Error('Login navigation did not complete.') throw new Error('Login navigation did not complete.')
} }
} }
@@ -224,6 +411,9 @@ export class TradingViewCapture {
const page = await this.init() const page = await this.init()
// Start video recording for capture process
await this.startVideoRecording(`capture_${finalSymbol}_${finalTimeframe || 'default'}`)
// Capture screenshots for each layout // Capture screenshots for each layout
const screenshots: string[] = [] const screenshots: string[] = []
@@ -234,70 +424,102 @@ export class TradingViewCapture {
// Check if we have a direct URL for this layout // Check if we have a direct URL for this layout
const layoutUrlPath = LAYOUT_URLS[layout] const layoutUrlPath = LAYOUT_URLS[layout]
if (layoutUrlPath) { if (layoutUrlPath) {
// Use direct layout URL // Navigate to layout URL with hash parameters, then to base chart interface
let url = `https://www.tradingview.com/chart/${layoutUrlPath}/?symbol=${finalSymbol}` let layoutUrl = `https://www.tradingview.com/chart/${layoutUrlPath}/#symbol=${finalSymbol}`
if (finalTimeframe) { if (finalTimeframe) {
url += `&interval=${encodeURIComponent(finalTimeframe)}` layoutUrl += `&interval=${encodeURIComponent(finalTimeframe)}`
} }
try { try {
console.log('Navigating to layout URL:', url) console.log('🎯 Navigating to layout URL:', layoutUrl)
await page.goto(url, { waitUntil: 'networkidle2', timeout: 60000 })
// Check if we landed on the login restriction page // Navigate to the specific layout URL with hash parameters and stay there
const restrictionCheck = await page.evaluate(() => { await page.goto(layoutUrl, { waitUntil: 'networkidle2', timeout: 60000 })
const text = document.body.textContent || '' await this.debugScreenshot(`layout_${layout}_01_after_navigation`, page)
return text.includes("We can't open this chart layout for you") ||
text.includes("log in to see it") ||
text.includes("chart layout sharing")
})
if (restrictionCheck) { // Check if we get a "Chart Not Found" or "can't open this chart layout" error
console.log(`Layout "${layout}" requires login verification, checking login status...`) const pageContent = await page.content()
const currentUrl = page.url()
const pageTitle = await page.title()
const isPrivateLayout = pageContent.includes("can't open this chart layout") ||
pageContent.includes("Chart Not Found") ||
pageTitle.includes("Chart Not Found") ||
await page.$('.tv-dialog__error, .tv-dialog__warning') !== null
if (isPrivateLayout) {
console.log(`⚠️ Layout "${layout}" appears to be private or not found. This might be due to:`)
console.log(' 1. Layout is private and requires proper account access')
console.log(' 2. Layout ID is incorrect or outdated')
console.log(' 3. Account doesn\'t have access to this layout')
console.log(` Current URL: ${currentUrl}`)
console.log(` Page title: ${pageTitle}`)
await this.debugScreenshot(`layout_${layout}_01b_private_layout_detected`, page)
// Verify we're actually logged in by checking for user menu // Check if we're properly logged in with account that should have access
const loggedInCheck = await page.waitForSelector('.tv-header__user-menu-button, [data-name="header-user-menu"]', { timeout: 5000 }).catch(() => null) const loginStatus = await page.evaluate(() => {
const hasUserMenu = document.querySelector('.tv-header__user-menu-button, [data-name="header-user-menu"]') !== null
const hasGuestIndicators = document.body.textContent?.includes('Guest') ||
document.body.textContent?.includes('Sign up') ||
document.body.textContent?.includes('Get started for free')
return { hasUserMenu, hasGuestIndicators, bodyText: document.body.textContent?.substring(0, 200) }
})
if (!loggedInCheck) { if (loginStatus.hasGuestIndicators || !loginStatus.hasUserMenu) {
console.log('Not properly logged in, re-authenticating...') console.log('🔄 Detected we might not be properly logged in. Forcing re-login...')
// Reset login state and force re-authentication
this.loggedIn = false this.loggedIn = false
await this.login() await this.login()
// Try navigating to the layout URL again // Try the layout URL again after proper login
console.log('Retrying navigation to layout URL after login:', url) console.log('🔄 Retrying layout URL after proper login...')
await page.goto(url, { waitUntil: 'networkidle2', timeout: 60000 }) await page.goto(layoutUrl, { waitUntil: 'networkidle2', timeout: 60000 })
await this.debugScreenshot(`layout_${layout}_01d_retry_after_login`, page)
// Check again if we still get the restriction // Check again if layout is accessible
const secondCheck = await page.evaluate(() => { const retryPageContent = await page.content()
const text = document.body.textContent || '' const retryIsPrivate = retryPageContent.includes("can't open this chart layout") ||
return text.includes("We can't open this chart layout for you") || retryPageContent.includes("Chart Not Found") ||
text.includes("log in to see it") || await page.title().then(t => t.includes("Chart Not Found"))
text.includes("chart layout sharing")
})
if (secondCheck) { if (retryIsPrivate) {
console.log(`Layout "${layout}" is private or not accessible, falling back to base chart`) console.log(`Layout "${layout}" is still not accessible after proper login. Falling back to default chart.`)
// Navigate to base chart instead } else {
let baseUrl = `https://www.tradingview.com/chart/?symbol=${finalSymbol}` console.log(`✅ Layout "${layout}" is now accessible after proper login!`)
if (finalTimeframe) { // Continue with normal flow
baseUrl += `&interval=${encodeURIComponent(finalTimeframe)}` return
}
await page.goto(baseUrl, { waitUntil: 'networkidle2', timeout: 60000 })
} }
} else {
console.log('User menu found but still getting restriction - layout may be private')
// Even though we're logged in, the layout is restricted, use base chart
console.log(`Layout "${layout}" is private or not accessible, falling back to base chart`)
let baseUrl = `https://www.tradingview.com/chart/?symbol=${finalSymbol}`
if (finalTimeframe) {
baseUrl += `&interval=${encodeURIComponent(finalTimeframe)}`
}
await page.goto(baseUrl, { waitUntil: 'networkidle2', timeout: 60000 })
} }
// Navigate to default chart with the symbol and timeframe
const fallbackUrl = `https://www.tradingview.com/chart/?symbol=${finalSymbol}&interval=${encodeURIComponent(finalTimeframe || '5')}`
console.log('🔄 Falling back to default chart:', fallbackUrl)
await page.goto(fallbackUrl, { waitUntil: 'networkidle2', timeout: 60000 })
await this.debugScreenshot(`layout_${layout}_01c_fallback_navigation`, page)
} }
console.log('Successfully navigated to layout:', layout) // Wait for the layout to load properly
await new Promise(res => setTimeout(res, 5000))
await this.debugScreenshot(`layout_${layout}_02_after_wait`, page)
// Verify we're on the correct layout by checking if we can see chart content
const layoutLoaded = await page.evaluate(() => {
const hasChart = document.querySelector('.chart-container, [data-name="chart"], canvas') !== null
const title = document.title
const url = window.location.href
return { hasChart, title, url }
})
console.log('📊 Layout verification:', layoutLoaded)
await this.debugScreenshot(`layout_${layout}_03_after_verification`, page)
if (!layoutLoaded.hasChart) {
console.log('⚠️ Chart not detected, waiting longer for layout to load...')
await new Promise(res => setTimeout(res, 5000))
await this.debugScreenshot(`layout_${layout}_04_after_extra_wait`, page)
}
console.log(`✅ Successfully loaded layout "${layout}" and staying on it`)
await this.debugScreenshot(`layout_${layout}_05_final_success`, page)
} catch (e: any) { } catch (e: any) {
console.error(`Failed to load layout "${layout}":`, e) console.error(`Failed to load layout "${layout}":`, e)
throw new Error(`Failed to load layout "${layout}": ` + (e.message || e)) throw new Error(`Failed to load layout "${layout}": ` + (e.message || e))
@@ -335,6 +557,7 @@ export class TradingViewCapture {
const filePath = path.join(screenshotsDir, layoutFilename) const filePath = path.join(screenshotsDir, layoutFilename)
try { try {
await this.debugScreenshot(`final_screenshot_${layout}_before_capture`, page)
await page.screenshot({ path: filePath as `${string}.png`, type: 'png' }) await page.screenshot({ path: filePath as `${string}.png`, type: 'png' })
console.log(`Screenshot saved for layout ${layout}:`, filePath) console.log(`Screenshot saved for layout ${layout}:`, filePath)
screenshots.push(filePath) screenshots.push(filePath)
@@ -347,6 +570,9 @@ export class TradingViewCapture {
} }
} }
// Stop video recording
await this.stopVideoRecording()
return screenshots return screenshots
} }
@@ -362,34 +588,189 @@ export class TradingViewCapture {
return return
} }
// Construct the full URL for the layout // This method is deprecated - the layout loading logic is now in captureScreenshots
const layoutUrl = `https://www.tradingview.com/chart/${layoutUrlPath}/` console.log('Note: This method is deprecated. Layout loading handled in captureScreenshots.')
console.log('Navigating to layout URL:', layoutUrl)
// Navigate directly to the layout URL
await page.goto(layoutUrl, { waitUntil: 'networkidle2', timeout: 60000 })
console.log('Successfully navigated to layout:', layout)
// Wait for the layout to fully load
await new Promise(res => setTimeout(res, 3000))
// Take a screenshot after layout loads for debugging
const debugAfterPath = path.resolve(`debug_after_layout_${layout.replace(/\s+/g, '_')}.png`) as `${string}.png`
await page.screenshot({ path: debugAfterPath })
console.log('After layout load screenshot saved:', debugAfterPath)
} catch (e: any) { } catch (e: any) {
console.error(`Failed to load layout "${layout}":`, e) console.error(`Failed to load layout "${layout}":`, e)
// Take debug screenshot on error
const debugErrorPath = path.resolve(`debug_layout_error_${layout.replace(/\s+/g, '_')}.png`) as `${string}.png`
await page.screenshot({ path: debugErrorPath })
console.log('Layout error screenshot saved:', debugErrorPath)
// Don't throw error, just continue with default chart
console.log('Continuing with default chart layout...') console.log('Continuing with default chart layout...')
} }
} }
private async startVideoRecording(filename: string): Promise<void> {
if (!isRecordingSupported || !this.page) {
console.log('Video recording not available or page not initialized')
return
}
try {
const isRecordingEnabled = process.env.TRADINGVIEW_RECORD_VIDEO === 'true'
const isDebugMode = process.env.TRADINGVIEW_DEBUG === 'true'
if (!isRecordingEnabled && !isDebugMode) {
console.log('Video recording disabled (set TRADINGVIEW_RECORD_VIDEO=true to enable)')
return
}
const videosDir = path.join(process.cwd(), 'videos')
await fs.mkdir(videosDir, { recursive: true })
const timestamp = Date.now()
const videoFilename = `${filename.replace('.png', '')}_${timestamp}`
// Simple screenshot-based recording
this.recorder = {
isRecording: true,
filename: videoFilename,
videosDir,
screenshotCount: 0,
interval: null as NodeJS.Timeout | null
}
// Take screenshots every 2 seconds for a basic "video"
this.recorder.interval = setInterval(async () => {
if (this.recorder && this.recorder.isRecording && this.page) {
try {
const screenshotPath = path.join(this.recorder.videosDir, `${this.recorder.filename}_frame_${String(this.recorder.screenshotCount).padStart(4, '0')}.png`)
await this.page.screenshot({ path: screenshotPath as `${string}.png`, type: 'png' })
this.recorder.screenshotCount++
} catch (e) {
console.error('Failed to capture video frame:', e)
}
}
}, 2000)
console.log(`🎥 Video recording started (screenshot mode): ${videosDir}/${videoFilename}_frame_*.png`)
} catch (e) {
console.error('Failed to start video recording:', e)
this.recorder = null
}
}
private async stopVideoRecording(): Promise<string | null> {
if (!this.recorder) {
return null
}
try {
this.recorder.isRecording = false
if (this.recorder.interval) {
clearInterval(this.recorder.interval)
}
const videoPath = `${this.recorder.videosDir}/${this.recorder.filename}_frames`
console.log(`🎥 Video recording stopped: ${this.recorder.screenshotCount} frames saved to ${videoPath}_*.png`)
// Optionally create a simple HTML viewer for the frames
const htmlPath = path.join(this.recorder.videosDir, `${this.recorder.filename}_viewer.html`)
const framesList = Array.from({length: this.recorder.screenshotCount}, (_, i) =>
`${this.recorder!.filename}_frame_${String(i).padStart(4, '0')}.png`
)
const htmlContent = `
<!DOCTYPE html>
<html>
<head>
<title>Video Recording: ${this.recorder.filename}</title>
<style>
body { font-family: Arial, sans-serif; margin: 20px; }
.controls { margin: 20px 0; }
button { padding: 10px 20px; margin: 5px; }
#currentFrame { max-width: 100%; border: 1px solid #ccc; }
.info { margin: 10px 0; color: #666; }
</style>
</head>
<body>
<h1>Video Recording: ${this.recorder.filename}</h1>
<div class="controls">
<button onclick="play()">Play</button>
<button onclick="pause()">Pause</button>
<button onclick="prevFrame()">Previous</button>
<button onclick="nextFrame()">Next</button>
<span>Frame: <span id="frameNumber">1</span> / ${this.recorder.screenshotCount}</span>
</div>
<div class="info">
<p>Total frames: ${this.recorder.screenshotCount} | Captured every 2 seconds</p>
</div>
<img id="currentFrame" src="${framesList[0] || ''}" alt="Video frame">
<script>
const frames = ${JSON.stringify(framesList)};
let currentFrame = 0;
let playing = false;
let playInterval = null;
function updateFrame() {
document.getElementById('currentFrame').src = frames[currentFrame];
document.getElementById('frameNumber').textContent = currentFrame + 1;
}
function play() {
if (playing) return;
playing = true;
playInterval = setInterval(() => {
currentFrame = (currentFrame + 1) % frames.length;
updateFrame();
}, 500); // Play at 2fps
}
function pause() {
playing = false;
if (playInterval) clearInterval(playInterval);
}
function nextFrame() {
pause();
currentFrame = (currentFrame + 1) % frames.length;
updateFrame();
}
function prevFrame() {
pause();
currentFrame = currentFrame > 0 ? currentFrame - 1 : frames.length - 1;
updateFrame();
}
</script>
</body>
</html>`
await fs.writeFile(htmlPath, htmlContent, 'utf8')
console.log(`📄 Video viewer created: ${htmlPath}`)
this.recorder = null
return videoPath
} catch (e) {
console.error('Failed to stop video recording:', e)
this.recorder = null
return null
}
}
async cleanup() {
try {
// Stop any ongoing video recording
if (this.recorder) {
await this.stopVideoRecording()
}
// Close the page
if (this.page) {
await this.page.close()
this.page = null
}
// Close the browser
if (this.browser) {
await this.browser.close()
this.browser = null
}
this.loggedIn = false
console.log('TradingViewCapture cleaned up successfully')
} catch (e) {
console.error('Error during cleanup:', e)
}
}
} }
export const tradingViewCapture = new TradingViewCapture() export const tradingViewCapture = new TradingViewCapture()

42
package-lock.json generated
View File

@@ -14,6 +14,7 @@
"bs58": "^6.0.0", "bs58": "^6.0.0",
"next": "15.3.5", "next": "15.3.5",
"openai": "^5.8.3", "openai": "^5.8.3",
"playwright": "^1.54.1",
"prisma": "^6.11.1", "prisma": "^6.11.1",
"puppeteer": "^24.12.0" "puppeteer": "^24.12.0"
}, },
@@ -5408,6 +5409,19 @@
"node": ">= 6" "node": ">= 6"
} }
}, },
"node_modules/fsevents": {
"version": "2.3.2",
"resolved": "https://registry.npmjs.org/fsevents/-/fsevents-2.3.2.tgz",
"integrity": "sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA==",
"hasInstallScript": true,
"optional": true,
"os": [
"darwin"
],
"engines": {
"node": "^8.16.0 || ^10.6.0 || >=11.0.0"
}
},
"node_modules/function-bind": { "node_modules/function-bind": {
"version": "1.1.2", "version": "1.1.2",
"resolved": "https://registry.npmjs.org/function-bind/-/function-bind-1.1.2.tgz", "resolved": "https://registry.npmjs.org/function-bind/-/function-bind-1.1.2.tgz",
@@ -7433,6 +7447,34 @@
"url": "https://github.com/sponsors/jonschlinkert" "url": "https://github.com/sponsors/jonschlinkert"
} }
}, },
"node_modules/playwright": {
"version": "1.54.1",
"resolved": "https://registry.npmjs.org/playwright/-/playwright-1.54.1.tgz",
"integrity": "sha512-peWpSwIBmSLi6aW2auvrUtf2DqY16YYcCMO8rTVx486jKmDTJg7UAhyrraP98GB8BoPURZP8+nxO7TSd4cPr5g==",
"dependencies": {
"playwright-core": "1.54.1"
},
"bin": {
"playwright": "cli.js"
},
"engines": {
"node": ">=18"
},
"optionalDependencies": {
"fsevents": "2.3.2"
}
},
"node_modules/playwright-core": {
"version": "1.54.1",
"resolved": "https://registry.npmjs.org/playwright-core/-/playwright-core-1.54.1.tgz",
"integrity": "sha512-Nbjs2zjj0htNhzgiy5wu+3w09YetDx5pkrpI/kZotDlDUaYk0HVA5xrBVPdow4SAUIlhgKcJeJg4GRKW6xHusA==",
"bin": {
"playwright-core": "cli.js"
},
"engines": {
"node": ">=18"
}
},
"node_modules/possible-typed-array-names": { "node_modules/possible-typed-array-names": {
"version": "1.1.0", "version": "1.1.0",
"resolved": "https://registry.npmjs.org/possible-typed-array-names/-/possible-typed-array-names-1.1.0.tgz", "resolved": "https://registry.npmjs.org/possible-typed-array-names/-/possible-typed-array-names-1.1.0.tgz",

View File

@@ -5,7 +5,29 @@
"scripts": { "scripts": {
"dev": "next dev --turbopack", "dev": "next dev --turbopack",
"build": "next build", "build": "next build",
"start": "next start" "start": "next start",
"docker:build": "docker compose build",
"docker:up": "docker compose up",
"docker:up:build": "docker compose up --build",
"docker:up:detached": "docker compose up -d",
"docker:down": "docker compose down",
"docker:down:volumes": "docker compose down -v",
"docker:logs": "docker compose logs -f app",
"docker:exec": "docker compose exec app bash",
"docker:restart": "docker compose restart app",
"docker:ps": "docker compose ps",
"docker:pull": "docker compose pull",
"docker:dev": "docker compose up --build",
"docker:dev:detached": "docker compose up -d --build",
"docker:prod:build": "docker compose -f docker-compose.yml -f docker-compose.prod.yml build",
"docker:prod:up": "docker compose -f docker-compose.yml -f docker-compose.prod.yml up -d",
"docker:prod:down": "docker compose -f docker-compose.yml -f docker-compose.prod.yml down",
"docker:prod:logs": "docker compose -f docker-compose.yml -f docker-compose.prod.yml logs -f app",
"docker:prod:restart": "docker compose -f docker-compose.yml -f docker-compose.prod.yml restart app",
"docker:health": "docker compose exec app curl -f http://localhost:3000/ || echo 'Health check failed'",
"docker:clean": "docker compose down -v && docker system prune -f",
"docker:reset": "docker compose down -v && docker compose build --no-cache && docker compose up -d",
"test:docker": "./test-docker-automation.sh"
}, },
"dependencies": { "dependencies": {
"@drift-labs/sdk": "^2.126.0-beta.14", "@drift-labs/sdk": "^2.126.0-beta.14",
@@ -14,6 +36,7 @@
"bs58": "^6.0.0", "bs58": "^6.0.0",
"next": "15.3.5", "next": "15.3.5",
"openai": "^5.8.3", "openai": "^5.8.3",
"playwright": "^1.54.1",
"prisma": "^6.11.1", "prisma": "^6.11.1",
"puppeteer": "^24.12.0" "puppeteer": "^24.12.0"
}, },

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39
test-docker-automation.sh Executable file
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@@ -0,0 +1,39 @@
#!/bin/bash
# Test script for TradingView automation in Docker using Docker Compose v2
echo "Testing TradingView automation in Docker container..."
# Check if container is running
if ! docker compose ps app | grep -q "Up"; then
echo "Starting Docker container with Docker Compose v2..."
docker compose up -d --build
sleep 10 # Wait for container to be fully ready
fi
# Test 1: Health check
echo "1. Testing health check..."
curl -X GET http://localhost:3000/api/trading/automated-analysis
echo -e "\n\n2. Testing automated analysis (you'll need to provide credentials)..."
echo "Example curl command:"
echo 'curl -X POST http://localhost:3000/api/trading/automated-analysis \
-H "Content-Type: application/json" \
-d "{
\"symbol\": \"SOLUSD\",
\"timeframe\": \"5\",
\"credentials\": {
\"email\": \"your-email@example.com\",
\"password\": \"your-password\"
}
}"'
echo -e "\n\nNote: Replace the credentials with your actual TradingView login details."
echo "The automation will:"
echo "- Login to TradingView"
echo "- Navigate to the specified chart"
echo "- Take a screenshot"
echo "- Analyze it with AI"
echo "- Return the analysis results"
echo -e "\n\nTo view logs: docker compose logs -f app"
echo "To stop container: docker compose down"

101
test-video-recording.js Normal file
View File

@@ -0,0 +1,101 @@
#!/usr/bin/env node
/**
* Test script for video recording functionality
*
* Usage:
* - Local development with video: TRADINGVIEW_DEBUG=true TRADINGVIEW_RECORD_VIDEO=true node test-video-recording.js
* - Local development with GUI: TRADINGVIEW_DEBUG=true node test-video-recording.js
* - Docker mode: DOCKER_ENV=true node test-video-recording.js
*/
// Test via API endpoint instead of direct import
const https = require('https');
const http = require('http');
async function testVideoRecording() {
try {
console.log('🎬 Testing TradingView video recording via API...');
// Check environment
const isDebugMode = process.env.TRADINGVIEW_DEBUG === 'true';
const isRecordingEnabled = process.env.TRADINGVIEW_RECORD_VIDEO === 'true';
const isDocker = process.env.DOCKER_ENV === 'true';
console.log('Environment:');
console.log(`- Debug mode: ${isDebugMode}`);
console.log(`- Video recording: ${isRecordingEnabled}`);
console.log(`- Docker mode: ${isDocker}`);
// Make a POST request to the analyze endpoint
const postData = JSON.stringify({
symbol: 'BTCUSD',
layouts: ['ai'],
timeframe: '5'
});
const options = {
hostname: 'localhost',
port: 3000,
path: '/api/analyze',
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Content-Length': Buffer.byteLength(postData)
}
};
console.log('\n🚀 Making request to /api/analyze endpoint...');
console.log('This will trigger video recording automatically if enabled.');
const req = http.request(options, (res) => {
console.log(`Response status: ${res.statusCode}`);
let responseData = '';
res.on('data', (chunk) => {
responseData += chunk;
});
res.on('end', () => {
try {
const result = JSON.parse(responseData);
console.log('✅ Video recording test completed!');
console.log('Response:', result);
console.log('\n📁 Check these directories:');
console.log('- screenshots/ directory for debug screenshots');
console.log('- videos/ directory for recorded videos');
} catch (e) {
console.log('Response:', responseData);
}
process.exit(0);
});
});
req.on('error', (e) => {
console.error('❌ Request failed:', e.message);
console.log('\n💡 Make sure your Next.js server is running:');
console.log(' npm run dev');
process.exit(1);
});
req.write(postData);
req.end();
} catch (error) {
console.error('❌ Video recording test failed:', error);
process.exit(1);
}
}
// Handle process termination
process.on('SIGINT', () => {
console.log('\n🛑 Stopping video recording test...');
process.exit(0);
});
process.on('SIGTERM', () => {
console.log('\n🛑 Stopping video recording test...');
process.exit(0);
});
testVideoRecording();

6
test_api.sh Normal file
View File

@@ -0,0 +1,6 @@
#!/bin/bash
echo "Testing TradingView analysis endpoint..."
curl -X POST http://localhost:3000/api/analyze \
-H "Content-Type: application/json" \
-d '{"symbol":"BTCUSD","timeframe":"60","layouts":["ai"]}' \
-v

View File

@@ -1,9 +1,8 @@
{ {
"symbol": "SOLUSD", "symbol": "SOLUSD",
"timeframe": "5", "timeframe": "60",
"layouts": [ "layouts": [
"ai", "ai"
"Diy module"
], ],
"lastUpdated": 1752064560981 "lastUpdated": 1752225457945
} }