GifariKemal
b2dc2dacd7
- 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>
162 lines
3.4 KiB
Markdown
162 lines
3.4 KiB
Markdown
# Quick Start - Tambah Dashboard ke Docker Existing
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## Status Saat Ini
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✅ **Docker Compose sudah ada**
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✅ **Service `postgres` sudah running** (container: `trading_bot_db`)
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✅ **Service `trading-api` dan `dashboard` sudah didefinisikan** tapi belum di-build
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## 🚀 Cara Menjalankan
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### 1. Setup Environment (Kalau Belum)
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```cmd
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cd "C:\Users\Administrator\Videos\Smart Automatic Trading BOT + AI"
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REM Copy environment template kalau belum ada
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copy docker\.env.docker.example .env
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REM Edit dengan MT5 credentials Anda
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notepad .env
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```
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Pastikan isi `.env`:
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```env
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MT5_LOGIN=your_login
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MT5_PASSWORD=your_password
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MT5_SERVER=your_server
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MT5_PATH=C:/Program Files/MetaTrader 5/terminal64.exe
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SYMBOL=XAUUSD
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CAPITAL=10000
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```
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### 2. Build Services Baru
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```cmd
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REM Build trading-api dan dashboard
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docker-compose build trading-api dashboard
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```
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Ini akan:
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- Build Dockerfile untuk Python API
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- Build Dockerfile untuk Next.js Dashboard
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- Tidak ganggu database yang sudah running
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### 3. Start Services Baru
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```cmd
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REM Start trading-api dan dashboard
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docker-compose up -d trading-api dashboard
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```
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### 4. Check Status
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```cmd
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docker-compose ps
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```
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Output akan menunjukkan:
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```
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NAME STATUS PORTS
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trading_bot_db Up (healthy) 0.0.0.0:5432->5432/tcp
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trading_bot_api Up (healthy) 0.0.0.0:8000->8000/tcp
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trading_bot_dashboard Up (healthy) 0.0.0.0:3000->3000/tcp
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```
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### 5. Akses Dashboard
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Buka browser:
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- **Dashboard:** http://localhost:3000
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- **API:** http://localhost:8000
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- **API Docs:** http://localhost:8000/docs
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## 📋 Commands Penting
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```cmd
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# Lihat logs
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docker-compose logs -f dashboard
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docker-compose logs -f trading-api
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# Restart service
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docker-compose restart trading-api
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docker-compose restart dashboard
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# Stop service
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docker-compose stop trading-api dashboard
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# Start lagi
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docker-compose up -d trading-api dashboard
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# Rebuild setelah update code
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docker-compose build trading-api dashboard
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docker-compose up -d trading-api dashboard
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```
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## 🔍 Troubleshooting
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### Build Error
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```cmd
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# Clean build
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docker-compose build --no-cache trading-api dashboard
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```
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### Service Tidak Start
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```cmd
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# Check logs
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docker-compose logs trading-api
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docker-compose logs dashboard
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# Check health
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curl http://localhost:8000/api/health
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curl http://localhost:3000
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```
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### Port Conflict
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Edit `.env`:
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```env
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API_PORT=8001
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DASHBOARD_PORT=3001
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```
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Lalu restart:
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```cmd
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docker-compose down trading-api dashboard
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docker-compose up -d trading-api dashboard
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```
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## ⚡ One-Liner (All in One)
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```cmd
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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
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```
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## 📊 Arsitektur
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```
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Docker Compose Project: "smart-automatic-trading-bot-ai"
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├── postgres (RUNNING) ✅
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│ └── trading_bot_db
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├── trading-api (BUILD & START) ⚡
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│ └── trading_bot_api
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└── dashboard (BUILD & START) ⚡
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└── trading_bot_dashboard
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```
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## ✅ Checklist
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- [ ] Copy `docker/.env.docker.example` ke `.env`
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- [ ] Edit `.env` dengan MT5 credentials
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- [ ] Run: `docker-compose build trading-api dashboard`
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- [ ] Run: `docker-compose up -d trading-api dashboard`
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- [ ] Check: `docker-compose ps`
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- [ ] Open: http://localhost:3000
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- [ ] Test API: http://localhost:8000/api/health
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---
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**That's it!** Simple kan? 🎉
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