Files

T

GifariKemal b2dc2dacd7 refactor: reorganize project structure — consolidate Docker files, clean root

- Delete temp files: _tmp_analysis.py, nul, dashboard_screenshot.png
- Move ea/ to archive/ea/ (deprecated)
- Move 12 Docker helper scripts (.bat/.sh) to docker/scripts/
- Move 5 Docker docs to docker/docs/
- Move .env.docker.example, requirements-docker.txt to docker/
- Update all scripts with cd to project root for correct path resolution
- Update all doc references to new paths
- Update .gitignore with bot.pid, bot_output.log, *.png patterns
- Update CLAUDE.md, README.md directory trees

Root reduced from ~40 files to 12 essential files.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-02-08 14:21:11 +07:00

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Quick Start - Tambah Dashboard ke Docker Existing

Status Saat Ini

✅ Docker Compose sudah ada ✅ Service postgres sudah running (container: trading_bot_db) ✅ Service trading-api dan dashboard sudah didefinisikan tapi belum di-build

🚀 Cara Menjalankan

1. Setup Environment (Kalau Belum)

cd "C:\Users\Administrator\Videos\Smart Automatic Trading BOT + AI"

REM Copy environment template kalau belum ada
copy docker\.env.docker.example .env

REM Edit dengan MT5 credentials Anda
notepad .env

Pastikan isi .env:

MT5_LOGIN=your_login
MT5_PASSWORD=your_password
MT5_SERVER=your_server
MT5_PATH=C:/Program Files/MetaTrader 5/terminal64.exe

SYMBOL=XAUUSD
CAPITAL=10000

2. Build Services Baru

REM Build trading-api dan dashboard
docker-compose build trading-api dashboard

Ini akan:

Build Dockerfile untuk Python API
Build Dockerfile untuk Next.js Dashboard
Tidak ganggu database yang sudah running

3. Start Services Baru

REM Start trading-api dan dashboard
docker-compose up -d trading-api dashboard

4. Check Status

docker-compose ps

Output akan menunjukkan:

NAME                     STATUS                 PORTS
trading_bot_db           Up (healthy)          0.0.0.0:5432->5432/tcp
trading_bot_api          Up (healthy)          0.0.0.0:8000->8000/tcp
trading_bot_dashboard    Up (healthy)          0.0.0.0:3000->3000/tcp

5. Akses Dashboard

Buka browser:

Dashboard: http://localhost:3000
API: http://localhost:8000
API Docs: http://localhost:8000/docs

📋 Commands Penting

# Lihat logs
docker-compose logs -f dashboard
docker-compose logs -f trading-api

# Restart service
docker-compose restart trading-api
docker-compose restart dashboard

# Stop service
docker-compose stop trading-api dashboard

# Start lagi
docker-compose up -d trading-api dashboard

# Rebuild setelah update code
docker-compose build trading-api dashboard
docker-compose up -d trading-api dashboard

🔍 Troubleshooting

Build Error

# Clean build
docker-compose build --no-cache trading-api dashboard

Service Tidak Start

# Check logs
docker-compose logs trading-api
docker-compose logs dashboard

# Check health
curl http://localhost:8000/api/health
curl http://localhost:3000

Port Conflict

Edit .env:

API_PORT=8001
DASHBOARD_PORT=3001

Lalu restart:

docker-compose down trading-api dashboard
docker-compose up -d trading-api dashboard

⚡ One-Liner (All in One)

cd "C:\Users\Administrator\Videos\Smart Automatic Trading BOT + AI" && docker-compose build trading-api dashboard && docker-compose up -d trading-api dashboard && docker-compose ps

📊 Arsitektur

Docker Compose Project: "smart-automatic-trading-bot-ai"
├── postgres (RUNNING) ✅
│   └── trading_bot_db
├── trading-api (BUILD & START) ⚡
│   └── trading_bot_api
└── dashboard (BUILD & START) ⚡
    └── trading_bot_dashboard

✅ Checklist

Copy docker/.env.docker.example ke .env
Edit .env dengan MT5 credentials
Run: docker-compose build trading-api dashboard
Run: docker-compose up -d trading-api dashboard
Check: docker-compose ps
Open: http://localhost:3000
Test API: http://localhost:8000/api/health

That's it! Simple kan? 🎉

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