fix: use generic template for draft releases

Replace hardcoded release notes with generic template.
User can complete the release notes before publishing.
Includes TODO markers for summary and changelog content.

.dockerignore

@@ -0,0 +1,60 @@
+# Version control
+.git/
+.gitignore
+
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+venv/
+env/
+ENV/
+.venv/
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+
+# Environment and secrets
+.env
+.env.*
+!.env.example
+
+# Data files (fetched at runtime)
+data/*.json
+data/agent_data/
+data/merged.jsonl
+data/merged_daily.jsonl
+data/merged_hour.jsonl
+
+# Logs
+logs/
+*.log
+
+# Runtime state
+runtime_env.json
+.runtime_env.json
+
+# Documentation (not needed in image)
+docs/
+!README.md
+
+# CI/CD
+.github/
+
+# Git worktrees
+.worktrees/
+
+# Test files
+test.py
+delete.py
+refresh_data.sh
+
+# Build artifacts
+build/
+dist/
+*.egg-info/

.env.example

@@ -1,13 +1,25 @@
-OPENAI_API_BASE=""
-OPENAI_API_KEY=""
-ALPHAADVANTAGE_API_KEY =""
-JINA_API_KEY=""
+# =============================================================================
+# AI-Trader Environment Configuration
+# =============================================================================
+# Copy this file to .env and fill in your actual values
+# Docker Compose automatically reads .env from project root
 
+# AI Model API Configuration
+OPENAI_API_BASE=https://your-openai-proxy.com/v1
+OPENAI_API_KEY=your_openai_key_here
+
+# Data Source Configuration
+ALPHAADVANTAGE_API_KEY=your_alphavantage_key_here
+JINA_API_KEY=your_jina_key_here
+
+# System Configuration (Docker default paths)
+RUNTIME_ENV_PATH=/app/data/runtime_env.json
+
+# MCP Service Ports (defaults shown)
 MATH_HTTP_PORT=8000
 SEARCH_HTTP_PORT=8001
 TRADE_HTTP_PORT=8002
 GETPRICE_HTTP_PORT=8003
 
+# Agent Configuration
 AGENT_MAX_STEP=30
-
-RUNTIME_ENV_PATH = ""

.github/workflows/docker-release.yml

@@ -0,0 +1,139 @@
+name: Build and Push Docker Image
+
+on:
+  push:
+    tags:
+      - 'v*'  # Triggers on v1.0.0, v2.1.3, etc.
+  workflow_dispatch:  # Manual trigger option
+
+jobs:
+  build-and-push:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write
+      packages: write
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Login to GitHub Container Registry
+        uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Extract version from tag
+        id: meta
+        run: |
+          # Ensure we're building from a tag
+          if [[ "$GITHUB_REF" != refs/tags/* ]]; then
+            echo "Error: This workflow should only run on tag pushes"
+            echo "GITHUB_REF: $GITHUB_REF"
+            exit 1
+          fi
+          VERSION=${GITHUB_REF#refs/tags/v}
+          echo "version=$VERSION" >> $GITHUB_OUTPUT
+          echo "Building version: $VERSION"
+
+          # Docker tags must be lowercase
+          REPO_OWNER_LOWER=$(echo "${{ github.repository_owner }}" | tr '[:upper:]' '[:lower:]')
+          echo "repo_owner_lower=$REPO_OWNER_LOWER" >> $GITHUB_OUTPUT
+          echo "Repository owner (lowercase): $REPO_OWNER_LOWER"
+
+      - name: Build and push Docker image
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          push: true
+          tags: |
+            ghcr.io/${{ steps.meta.outputs.repo_owner_lower }}/ai-trader:${{ steps.meta.outputs.version }}
+            ghcr.io/${{ steps.meta.outputs.repo_owner_lower }}/ai-trader:latest
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
+
+      - name: Image published
+        run: |
+          echo "✅ Docker image published successfully!"
+          echo "📦 Pull with: docker pull ghcr.io/${{ steps.meta.outputs.repo_owner_lower }}/ai-trader:${{ steps.meta.outputs.version }}"
+          echo "📦 Or latest: docker pull ghcr.io/${{ steps.meta.outputs.repo_owner_lower }}/ai-trader:latest"
+
+      - name: Generate release notes
+        id: release_notes
+        run: |
+          VERSION="${{ steps.meta.outputs.version }}"
+          REPO_OWNER_LOWER="${{ steps.meta.outputs.repo_owner_lower }}"
+
+          # Check if this is an alpha/beta/rc release
+          if [[ "$VERSION" == *"-alpha"* ]] || [[ "$VERSION" == *"-beta"* ]] || [[ "$VERSION" == *"-rc"* ]]; then
+            PRERELEASE="true"
+            RELEASE_TYPE="Pre-release"
+          else
+            PRERELEASE="false"
+            RELEASE_TYPE="Release"
+          fi
+          echo "prerelease=$PRERELEASE" >> $GITHUB_OUTPUT
+
+          # Generate generic release notes template
+          cat > /tmp/release_notes.md << 'EOF'
+          ## Release Notes
+
+          <!-- TODO: Add release summary and highlights here -->
+
+          ### Quick Start
+
+          **Using Docker Compose:**
+          ```bash
+          git clone https://github.com/Xe138/AI-Trader.git
+          cd AI-Trader
+          cp .env.example .env
+          # Edit .env with your API keys
+          docker-compose up
+          ```
+
+          **Using pre-built image:**
+          ```bash
+          docker pull ghcr.io/REPO_OWNER/ai-trader:VERSION
+          docker run --env-file .env \
+            -v $(pwd)/data:/app/data \
+            -v $(pwd)/logs:/app/logs \
+            ghcr.io/REPO_OWNER/ai-trader:VERSION
+          ```
+
+          ### Documentation
+
+          - [Docker Deployment Guide](docs/DOCKER.md)
+          - [Release Process](docs/RELEASING.md)
+          - [Full Changelog](CHANGELOG.md)
+
+          ### Changes
+
+          <!-- TODO: Add changes from CHANGELOG.md here -->
+
+          See [CHANGELOG.md](CHANGELOG.md) for detailed changes.
+
+          ---
+
+          **Container Registry:** `ghcr.io/REPO_OWNER/ai-trader:VERSION`
+          **Docker Image:** `ghcr.io/REPO_OWNER/ai-trader:latest`
+          EOF
+
+          # Replace placeholders
+          sed -i "s/REPO_OWNER/$REPO_OWNER_LOWER/g" /tmp/release_notes.md
+          sed -i "s/VERSION/$VERSION/g" /tmp/release_notes.md
+
+          cat /tmp/release_notes.md
+
+      - name: Create GitHub Release
+        uses: softprops/action-gh-release@v1
+        with:
+          tag_name: v${{ steps.meta.outputs.version }}
+          name: v${{ steps.meta.outputs.version }}
+          body_path: /tmp/release_notes.md
+          draft: true
+          prerelease: ${{ steps.release_notes.outputs.prerelease }}
+          token: ${{ secrets.GITHUB_TOKEN }}

.gitignore

@@ -81,3 +81,6 @@ htmlcov/
 .dmypy.json
 dmypy.json
 
+# Git worktrees
+.worktrees/
+

CHANGELOG.md

@@ -0,0 +1,98 @@
+# Changelog
+
+All notable changes to the AI-Trader project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [Unreleased]
+
+## [0.2.0] - 2025-10-30
+
+### Added
+- Complete Docker deployment support with containerization
+- Docker Compose orchestration for easy local deployment
+- Multi-stage Dockerfile with Python 3.10-slim base image
+- Automated CI/CD pipeline via GitHub Actions for release builds
+- Docker images published to GitHub Container Registry (ghcr.io)
+- Comprehensive Docker documentation (docs/DOCKER.md)
+- Release process documentation (docs/RELEASING.md)
+- CLAUDE.md repository guidance for development
+- Docker deployment section in main README
+- Environment variable configuration via docker-compose
+- Sequential startup script (entrypoint.sh) for data fetch, MCP services, and trading agent
+- Volume mounts for data and logs persistence
+- Pre-built image support from ghcr.io/hkuds/ai-trader
+
+### Changed
+- Updated .env.example with Docker-specific configuration and paths
+- Updated .gitignore to exclude git worktrees directory
+- Removed deprecated version tag from docker-compose.yml
+
+### Fixed
+- Docker Compose configuration now follows modern best practices (version-less)
+
+## [0.1.0] - Initial Release
+
+### Added
+- AI trading competition platform for NASDAQ 100 stocks
+- Support for multiple AI models (GPT, Claude, Qwen, DeepSeek, Gemini)
+- MCP (Model Context Protocol) toolchain integration
+  - Mathematical calculation tools
+  - Market intelligence search via Jina AI
+  - Trading execution tools
+  - Price query tools
+- Historical replay architecture with anti-look-ahead controls
+- Alpha Vantage API integration for price data
+- Autonomous AI decision-making with zero human intervention
+- Real-time performance analytics and leaderboard
+- Position tracking and trading logs
+- Web-based performance dashboard
+- Complete NASDAQ 100 stock universe support
+- Initial capital: $10,000 per AI model
+- Configurable date range for backtesting
+- Multi-model concurrent trading support
+- Automatic data fetching and merging
+- Comprehensive README with quick start guide
+
+### Technical Details
+- Python 3.10+ support
+- LangChain framework integration
+- FastMCP for MCP service implementation
+- JSONL format for position and log storage
+- Weekday-only trading simulation
+- Configurable agent parameters (max_steps, max_retries, initial_cash)
+
+---
+
+## Release Notes Template
+
+For future releases, use this template:
+
+```markdown
+## [X.Y.Z] - YYYY-MM-DD
+
+### Added
+- New features
+
+### Changed
+- Changes to existing functionality
+
+### Deprecated
+- Soon-to-be removed features
+
+### Removed
+- Removed features
+
+### Fixed
+- Bug fixes
+
+### Security
+- Security improvements
+```
+
+---
+
+[Unreleased]: https://github.com/Xe138/AI-Trader/compare/v0.2.0...HEAD
+[0.2.0]: https://github.com/Xe138/AI-Trader/compare/v0.1.0...v0.2.0
+[0.1.0]: https://github.com/Xe138/AI-Trader/releases/tag/v0.1.0

CLAUDE.md

@@ -0,0 +1,329 @@
+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Project Overview
+
+AI-Trader is an autonomous AI trading competition platform where multiple AI models compete in NASDAQ 100 trading with zero human intervention. Each AI starts with $10,000 and uses standardized MCP (Model Context Protocol) tools to make fully autonomous trading decisions.
+
+**Key Innovation:** Historical replay architecture with anti-look-ahead controls ensures AI agents can only access data from the current simulation date and earlier.
+
+## Development Commands
+
+### Environment Setup
+```bash
+# Install dependencies
+pip install -r requirements.txt
+
+# Configure environment variables
+cp .env.example .env
+# Edit .env and set:
+# - OPENAI_API_BASE, OPENAI_API_KEY
+# - ALPHAADVANTAGE_API_KEY, JINA_API_KEY
+# - RUNTIME_ENV_PATH (recommended: absolute path to runtime_env.json)
+# - MCP service ports (default: 8000-8003)
+# - AGENT_MAX_STEP (default: 30)
+```
+
+### Data Preparation
+```bash
+# Download/update NASDAQ 100 stock data
+cd data
+python get_daily_price.py     # Fetch daily prices from Alpha Vantage
+python merge_jsonl.py          # Merge into unified format (merged.jsonl)
+cd ..
+```
+
+### Starting Services
+```bash
+# Start all MCP services (Math, Search, Trade, LocalPrices)
+cd agent_tools
+python start_mcp_services.py
+cd ..
+
+# Services run on ports defined in .env:
+# - MATH_HTTP_PORT (default: 8000)
+# - SEARCH_HTTP_PORT (default: 8001)
+# - TRADE_HTTP_PORT (default: 8002)
+# - GETPRICE_HTTP_PORT (default: 8003)
+```
+
+### Docker Deployment
+
+```bash
+# Build Docker image
+docker-compose build
+
+# Run with Docker Compose
+docker-compose up
+
+# Run in background
+docker-compose up -d
+
+# Run with custom config
+docker-compose run ai-trader configs/my_config.json
+
+# View logs
+docker-compose logs -f
+
+# Stop and remove containers
+docker-compose down
+
+# Pull pre-built image
+docker pull ghcr.io/hkuds/ai-trader:latest
+
+# Test local Docker build
+docker build -t ai-trader-test .
+docker run --env-file .env -v $(pwd)/data:/app/data ai-trader-test
+```
+
+### Releasing Docker Images
+
+```bash
+# Create and push release tag
+git tag v1.0.0
+git push origin v1.0.0
+
+# GitHub Actions automatically:
+# 1. Builds Docker image
+# 2. Tags with version and latest
+# 3. Pushes to ghcr.io/hkuds/ai-trader
+
+# Verify build in Actions tab
+# https://github.com/HKUDS/AI-Trader/actions
+```
+
+### Running Trading Simulations
+```bash
+# Run with default config
+python main.py
+
+# Run with custom config
+python main.py configs/my_config.json
+
+# Environment variables can override config dates:
+INIT_DATE=2025-01-01 END_DATE=2025-01-31 python main.py
+```
+
+### Complete Workflow
+```bash
+# All-in-one startup script (data + services + trading + web)
+bash main.sh
+```
+
+## Architecture
+
+### Core Components
+
+**1. Agent System** (`agent/base_agent/base_agent.py`)
+- `BaseAgent`: Base class for all trading agents
+- Manages MCP tool connections, AI model initialization, trading execution loops
+- Handles position management and logging
+- Supports retry logic with exponential backoff (`max_retries`, `base_delay`)
+
+**2. Main Entry Point** (`main.py`)
+- Dynamic agent class loading via `AGENT_REGISTRY`
+- Multi-model concurrent trading support
+- Date range validation and weekday filtering
+- Configuration management (JSON + environment variables)
+
+**3. MCP Toolchain** (`agent_tools/`)
+- `tool_math.py`: Mathematical calculations (port 8000)
+- `tool_jina_search.py`: Market intelligence search (port 8001)
+- `tool_trade.py`: Buy/sell execution (port 8002)
+- `tool_get_price_local.py`: Price queries (port 8003)
+- `start_mcp_services.py`: Service orchestration with health checks
+
+**4. Data Management** (`data/`)
+- `daily_prices_*.json`: Individual stock OHLCV data
+- `merged.jsonl`: Unified price data format
+- `agent_data/[signature]/position/position.jsonl`: Position records
+- `agent_data/[signature]/log/[date]/log.jsonl`: Trading logs
+
+**5. Utilities** (`tools/`)
+- `general_tools.py`: Config management, message extraction
+- `price_tools.py`: Price queries, position updates
+- `result_tools.py`: Performance calculations
+
+### Data Flow
+
+1. **Initialization**: Agent loads config, connects to MCP services, initializes AI model
+2. **Trading Loop**: For each date:
+   - Get system prompt with current positions, yesterday's prices, today's buy prices
+   - AI agent analyzes market, calls search/math/price tools
+   - Makes buy/sell decisions via trade tool
+   - Logs all decisions and updates position.jsonl
+3. **Position Tracking**: Each trade appends to `position.jsonl` with date, action, and updated holdings
+
+### Configuration System
+
+**Multi-layered config priority:**
+1. Environment variables (highest)
+2. Model-specific config (`openai_base_url`, `openai_api_key` in model config)
+3. JSON config file
+4. Default values (lowest)
+
+**Runtime configuration** (`runtime_env.json` at `RUNTIME_ENV_PATH`):
+- Dynamic state: `TODAY_DATE`, `SIGNATURE`, `IF_TRADE`
+- Written by `write_config_value()`, read by `get_config_value()`
+
+### Agent System
+
+**BaseAgent Key Methods:**
+- `initialize()`: Connect to MCP services, create AI model
+- `run_trading_session(date)`: Execute single day's trading with retry logic
+- `run_date_range(init_date, end_date)`: Process all weekdays in range
+- `get_trading_dates()`: Resume from last date in position.jsonl
+- `register_agent()`: Create initial position file with $10,000 cash
+
+**Adding Custom Agents:**
+1. Create new class inheriting from `BaseAgent`
+2. Add to `AGENT_REGISTRY` in `main.py`:
+   ```python
+   "CustomAgent": {
+       "module": "agent.custom.custom_agent",
+       "class": "CustomAgent"
+   }
+   ```
+3. Set `"agent_type": "CustomAgent"` in config JSON
+
+### System Prompt Construction
+
+**Dynamic prompt generation** (`prompts/agent_prompt.py`):
+- `get_agent_system_prompt()` builds prompt with:
+  - Current date
+  - Yesterday's closing positions
+  - Yesterday's closing prices
+  - Today's buy prices
+  - Yesterday's profit/loss
+- AI agent must output `<FINISH_SIGNAL>` to end trading session
+
+### Anti-Look-Ahead Controls
+
+**Data access restrictions:**
+- Price data: Only returns data for `date <= TODAY_DATE`
+- Search results: News filtered by publication date
+- All tools enforce temporal boundaries via `TODAY_DATE` from `runtime_env.json`
+
+## Configuration File Format
+
+```json
+{
+  "agent_type": "BaseAgent",
+  "date_range": {
+    "init_date": "2025-01-01",
+    "end_date": "2025-01-31"
+  },
+  "models": [
+    {
+      "name": "model-display-name",
+      "basemodel": "provider/model-id",
+      "signature": "unique-identifier",
+      "enabled": true,
+      "openai_base_url": "optional-override",
+      "openai_api_key": "optional-override"
+    }
+  ],
+  "agent_config": {
+    "max_steps": 30,           // Max reasoning iterations per day
+    "max_retries": 3,          // Retry attempts on failure
+    "base_delay": 1.0,         // Base retry delay (seconds)
+    "initial_cash": 10000.0
+  },
+  "log_config": {
+    "log_path": "./data/agent_data"
+  }
+}
+```
+
+## Data Formats
+
+**Position Record** (`position.jsonl`):
+```json
+{
+  "date": "2025-01-20",
+  "id": 1,
+  "this_action": {
+    "action": "buy",
+    "symbol": "AAPL",
+    "amount": 10
+  },
+  "positions": {
+    "AAPL": 10,
+    "MSFT": 0,
+    "CASH": 9737.6
+  }
+}
+```
+
+**Price Data** (`merged.jsonl`):
+```json
+{
+  "Meta Data": {
+    "2. Symbol": "AAPL",
+    "3. Last Refreshed": "2025-01-20"
+  },
+  "Time Series (Daily)": {
+    "2025-01-20": {
+      "1. buy price": "255.8850",
+      "2. high": "264.3750",
+      "3. low": "255.6300",
+      "4. sell price": "262.2400",
+      "5. volume": "90483029"
+    }
+  }
+}
+```
+
+## Important Implementation Details
+
+**Trading Day Logic:**
+- Only weekdays (Monday-Friday) are processed
+- `get_trading_dates()` automatically resumes from last date in `position.jsonl`
+- Skips days already processed (idempotent)
+
+**Error Handling:**
+- All async operations use `_ainvoke_with_retry()` with exponential backoff
+- MCP service failures raise detailed error messages with troubleshooting hints
+- Missing API keys halt startup with clear error messages
+
+**Tool Message Extraction:**
+- `extract_conversation(response, "final")`: Get AI's final answer
+- `extract_tool_messages(response)`: Get all tool results
+- Handles both dict and object-based message formats
+
+**Logging:**
+- Each trading day creates `log/[date]/log.jsonl`
+- Logs include timestamps, signature, and all message exchanges
+- Position updates append to single `position/position.jsonl`
+
+## Testing Changes
+
+When modifying agent behavior or adding tools:
+1. Create test config with short date range (2-3 days)
+2. Set `max_steps` low (e.g., 10) to iterate faster
+3. Check logs in `data/agent_data/[signature]/log/[date]/`
+4. Verify position updates in `position/position.jsonl`
+5. Use `main.sh` only for full end-to-end testing
+
+## Common Issues
+
+**MCP Services Not Running:**
+- Error: "Failed to initialize MCP client"
+- Fix: `cd agent_tools && python start_mcp_services.py`
+- Verify ports not already in use: `lsof -i :8000-8003`
+
+**Missing Price Data:**
+- Ensure `data/merged.jsonl` exists
+- Run `cd data && python get_daily_price.py && python merge_jsonl.py`
+- Check Alpha Vantage API key is valid
+
+**Runtime Config Issues:**
+- Set `RUNTIME_ENV_PATH` to absolute path in `.env`
+- Ensure directory is writable
+- File gets created automatically on first run
+
+**Agent Doesn't Stop Trading:**
+- Agent must output `<FINISH_SIGNAL>` within `max_steps`
+- Increase `max_steps` if agent needs more reasoning time
+- Check `log.jsonl` for errors preventing completion

Dockerfile

@@ -0,0 +1,32 @@
+# Base stage - dependency installation
+FROM python:3.10-slim AS base
+
+WORKDIR /app
+
+# Install dependencies
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Application stage
+FROM base
+
+WORKDIR /app
+
+# Copy application code
+COPY . .
+
+# Create necessary directories
+RUN mkdir -p data logs data/agent_data
+
+# Make entrypoint executable
+RUN chmod +x entrypoint.sh
+
+# Expose MCP service ports and web dashboard
+EXPOSE 8000 8001 8002 8003 8888
+
+# Set Python to run unbuffered for real-time logs
+ENV PYTHONUNBUFFERED=1
+
+# Use entrypoint script
+ENTRYPOINT ["./entrypoint.sh"]
+CMD ["configs/default_config.json"]

README.md

@@ -323,6 +323,52 @@ python3 -m http.server 8000
 # Visit http://localhost:8000
 ```
 
+## 🐳 Docker Deployment
+
+### Using Docker Compose (Recommended)
+
+The easiest way to run AI-Trader is with Docker Compose:
+
+```bash
+# 1. Clone and setup
+git clone https://github.com/HKUDS/AI-Trader.git
+cd AI-Trader
+
+# 2. Configure environment
+cp .env.example .env
+# Edit .env with your API keys:
+# - OPENAI_API_KEY
+# - ALPHAADVANTAGE_API_KEY
+# - JINA_API_KEY
+
+# 3. Run with Docker Compose
+docker-compose up
+```
+
+The container automatically:
+- Fetches latest NASDAQ 100 price data
+- Starts all MCP services
+- Runs AI trading agents
+
+### Using Pre-built Images
+
+Pull and run pre-built images from GitHub Container Registry:
+
+```bash
+# Pull latest version
+docker pull ghcr.io/hkuds/ai-trader:latest
+
+# Run container
+docker run --env-file .env \
+  -v $(pwd)/data:/app/data \
+  -v $(pwd)/logs:/app/logs \
+  ghcr.io/hkuds/ai-trader:latest
+```
+
+**📖 See [docs/DOCKER.md](docs/DOCKER.md) for detailed Docker usage, troubleshooting, and advanced configuration.**
+
+---
+
 ## 📈 Performance Analysis
 
 ### 🏆 Competition Rules

docker-compose.yml

@@ -0,0 +1,34 @@
+services:
+  ai-trader:
+    build: .
+    container_name: ai-trader-app
+    volumes:
+      - ./data:/app/data
+      - ./logs:/app/logs
+    environment:
+      # AI Model API Configuration
+      - OPENAI_API_BASE=${OPENAI_API_BASE}
+      - OPENAI_API_KEY=${OPENAI_API_KEY}
+
+      # Data Source Configuration
+      - ALPHAADVANTAGE_API_KEY=${ALPHAADVANTAGE_API_KEY}
+      - JINA_API_KEY=${JINA_API_KEY}
+
+      # System Configuration
+      - RUNTIME_ENV_PATH=/app/data/runtime_env.json
+
+      # MCP Service Ports
+      - MATH_HTTP_PORT=${MATH_HTTP_PORT:-8000}
+      - SEARCH_HTTP_PORT=${SEARCH_HTTP_PORT:-8001}
+      - TRADE_HTTP_PORT=${TRADE_HTTP_PORT:-8002}
+      - GETPRICE_HTTP_PORT=${GETPRICE_HTTP_PORT:-8003}
+
+      # Agent Configuration
+      - AGENT_MAX_STEP=${AGENT_MAX_STEP:-30}
+    ports:
+      - "8000:8000"
+      - "8001:8001"
+      - "8002:8002"
+      - "8003:8003"
+      - "8888:8888"
+    restart: unless-stopped

docs/DOCKER.md

@@ -0,0 +1,250 @@
+# Docker Deployment Guide
+
+## Quick Start
+
+### Prerequisites
+- Docker Engine 20.10+
+- Docker Compose 2.0+
+- API keys for OpenAI, Alpha Vantage, and Jina AI
+
+### First-Time Setup
+
+1. **Clone repository:**
+   ```bash
+   git clone https://github.com/Xe138/AI-Trader.git
+   cd AI-Trader
+   ```
+
+2. **Configure environment:**
+   ```bash
+   cp .env.example .env
+   # Edit .env and add your API keys
+   ```
+
+3. **Run with Docker Compose:**
+   ```bash
+   docker-compose up
+   ```
+
+That's it! The container will:
+- Fetch latest price data from Alpha Vantage
+- Start all MCP services
+- Run the trading agent with default configuration
+
+## Configuration
+
+### Environment Variables
+
+Edit `.env` file with your credentials:
+
+```bash
+# Required
+OPENAI_API_KEY=sk-...
+ALPHAADVANTAGE_API_KEY=...
+JINA_API_KEY=...
+
+# Optional (defaults shown)
+MATH_HTTP_PORT=8000
+SEARCH_HTTP_PORT=8001
+TRADE_HTTP_PORT=8002
+GETPRICE_HTTP_PORT=8003
+AGENT_MAX_STEP=30
+```
+
+### Custom Trading Configuration
+
+Pass a custom config file:
+
+```bash
+docker-compose run ai-trader configs/my_config.json
+```
+
+## Usage Examples
+
+### Run in foreground with logs
+```bash
+docker-compose up
+```
+
+### Run in background (detached)
+```bash
+docker-compose up -d
+docker-compose logs -f  # Follow logs
+```
+
+### Run with custom config
+```bash
+docker-compose run ai-trader configs/custom_config.json
+```
+
+### Stop containers
+```bash
+docker-compose down
+```
+
+### Rebuild after code changes
+```bash
+docker-compose build
+docker-compose up
+```
+
+## Data Persistence
+
+### Volume Mounts
+
+Docker Compose mounts two volumes:
+
+- `./data:/app/data` - Price data and trading records
+- `./logs:/app/logs` - MCP service logs
+
+Data persists across container restarts. To reset:
+
+```bash
+docker-compose down
+rm -rf data/agent_data/* logs/*
+docker-compose up
+```
+
+### Backup Trading Data
+
+```bash
+# Backup
+tar -czf ai-trader-backup-$(date +%Y%m%d).tar.gz data/agent_data/
+
+# Restore
+tar -xzf ai-trader-backup-YYYYMMDD.tar.gz
+```
+
+## Using Pre-built Images
+
+### Pull from GitHub Container Registry
+
+```bash
+docker pull ghcr.io/hkuds/ai-trader:latest
+```
+
+### Run without Docker Compose
+
+```bash
+docker run --env-file .env \
+  -v $(pwd)/data:/app/data \
+  -v $(pwd)/logs:/app/logs \
+  -p 8000-8003:8000-8003 \
+  ghcr.io/hkuds/ai-trader:latest
+```
+
+### Specific version
+```bash
+docker pull ghcr.io/hkuds/ai-trader:v1.0.0
+```
+
+## Troubleshooting
+
+### MCP Services Not Starting
+
+**Symptom:** Container exits immediately or errors about ports
+
+**Solutions:**
+- Check ports 8000-8003 not already in use: `lsof -i :8000-8003`
+- View container logs: `docker-compose logs`
+- Check MCP service logs: `cat logs/math.log`
+
+### Missing API Keys
+
+**Symptom:** Errors about missing environment variables
+
+**Solutions:**
+- Verify `.env` file exists: `ls -la .env`
+- Check required variables set: `grep OPENAI_API_KEY .env`
+- Ensure `.env` in same directory as docker-compose.yml
+
+### Data Fetch Failures
+
+**Symptom:** Container exits during data preparation step
+
+**Solutions:**
+- Verify Alpha Vantage API key valid
+- Check API rate limits (5 requests/minute for free tier)
+- View logs: `docker-compose logs | grep "Fetching and merging"`
+
+### Permission Issues
+
+**Symptom:** Cannot write to data or logs directories
+
+**Solutions:**
+- Ensure directories writable: `chmod -R 755 data logs`
+- Check volume mount permissions
+- May need to create directories first: `mkdir -p data logs`
+
+### Container Keeps Restarting
+
+**Symptom:** Container restarts repeatedly
+
+**Solutions:**
+- View logs to identify error: `docker-compose logs --tail=50`
+- Disable auto-restart: Comment out `restart: unless-stopped` in docker-compose.yml
+- Check if main.py exits with error
+
+## Advanced Usage
+
+### Override Entrypoint
+
+Run bash inside container for debugging:
+
+```bash
+docker-compose run --entrypoint /bin/bash ai-trader
+```
+
+### Build Multi-platform Images
+
+For ARM64 (Apple Silicon) and AMD64:
+
+```bash
+docker buildx build --platform linux/amd64,linux/arm64 -t ai-trader .
+```
+
+### View Container Resource Usage
+
+```bash
+docker stats ai-trader-app
+```
+
+### Access MCP Services Directly
+
+Services exposed on host:
+- Math: http://localhost:8000
+- Search: http://localhost:8001
+- Trade: http://localhost:8002
+- Price: http://localhost:8003
+
+## Development Workflow
+
+### Local Code Changes
+
+1. Edit code in project root
+2. Rebuild image: `docker-compose build`
+3. Run updated container: `docker-compose up`
+
+### Test Different Configurations
+
+```bash
+# Create test config
+cp configs/default_config.json configs/test_config.json
+# Edit test_config.json
+
+# Run with test config
+docker-compose run ai-trader configs/test_config.json
+```
+
+## Production Deployment
+
+For production use, consider:
+
+1. **Use specific version tags** instead of `latest`
+2. **External secrets management** (AWS Secrets Manager, etc.)
+3. **Health checks** in docker-compose.yml
+4. **Resource limits** (CPU/memory)
+5. **Log aggregation** (ELK stack, CloudWatch)
+6. **Orchestration** (Kubernetes, Docker Swarm)
+
+See design document in `docs/plans/2025-10-30-docker-deployment-design.md` for architecture details.

docs/RELEASING.md

@@ -0,0 +1,149 @@
+# Release Process
+
+## Creating a New Release
+
+### 1. Prepare Release
+
+1. Ensure `main` branch is stable and tests pass
+2. Update version numbers if needed
+3. Update CHANGELOG.md with release notes
+
+### 2. Create Release Tag
+
+```bash
+# Ensure on main branch
+git checkout main
+git pull origin main
+
+# Create annotated tag
+git tag -a v1.0.0 -m "Release v1.0.0: Docker deployment support"
+
+# Push tag to trigger CI/CD
+git push origin v1.0.0
+```
+
+### 3. GitHub Actions Automation
+
+Tag push automatically triggers `.github/workflows/docker-release.yml`:
+
+1. ✅ Checks out code
+2. ✅ Sets up Docker Buildx
+3. ✅ Logs into GitHub Container Registry
+4. ✅ Extracts version from tag
+5. ✅ Builds Docker image with caching
+6. ✅ Pushes to `ghcr.io/hkuds/ai-trader:VERSION`
+7. ✅ Pushes to `ghcr.io/hkuds/ai-trader:latest`
+
+### 4. Verify Build
+
+1. Check GitHub Actions: https://github.com/Xe138/AI-Trader/actions
+2. Verify workflow completed successfully (green checkmark)
+3. Check packages: https://github.com/Xe138/AI-Trader/pkgs/container/ai-trader
+
+### 5. Test Release
+
+```bash
+# Pull released image
+docker pull ghcr.io/hkuds/ai-trader:v1.0.0
+
+# Test run
+docker run --env-file .env \
+  -v $(pwd)/data:/app/data \
+  ghcr.io/hkuds/ai-trader:v1.0.0
+```
+
+### 6. Create GitHub Release (Optional)
+
+1. Go to https://github.com/Xe138/AI-Trader/releases/new
+2. Select tag: `v1.0.0`
+3. Release title: `v1.0.0 - Docker Deployment Support`
+4. Add release notes:
+
+```markdown
+## 🐳 Docker Deployment
+
+This release adds full Docker support for easy deployment.
+
+### Pull and Run
+
+```bash
+docker pull ghcr.io/hkuds/ai-trader:v1.0.0
+docker run --env-file .env -v $(pwd)/data:/app/data ghcr.io/hkuds/ai-trader:v1.0.0
+```
+
+Or use Docker Compose:
+
+```bash
+docker-compose up
+```
+
+See [docs/DOCKER.md](docs/DOCKER.md) for details.
+
+### What's New
+- Docker containerization with single-container architecture
+- docker-compose.yml for easy orchestration
+- Automated CI/CD builds on release tags
+- Pre-built images on GitHub Container Registry
+```
+
+5. Publish release
+
+## Version Numbering
+
+Use Semantic Versioning (SEMVER):
+
+- `v1.0.0` - Major release (breaking changes)
+- `v1.1.0` - Minor release (new features, backward compatible)
+- `v1.1.1` - Patch release (bug fixes)
+
+## Troubleshooting Releases
+
+### Build Fails in GitHub Actions
+
+1. Check Actions logs for error details
+2. Test local build: `docker build .`
+3. Fix issues and delete/recreate tag:
+
+```bash
+# Delete tag
+git tag -d v1.0.0
+git push origin :refs/tags/v1.0.0
+
+# Recreate after fixes
+git tag v1.0.0
+git push origin v1.0.0
+```
+
+### Image Not Appearing in Registry
+
+1. Check Actions permissions (Settings → Actions → General)
+2. Verify `packages: write` permission in workflow
+3. Ensure `GITHUB_TOKEN` has registry access
+
+### Wrong Version Tagged
+
+Delete and recreate:
+
+```bash
+git tag -d v1.0.0
+git push origin :refs/tags/v1.0.0
+git tag v1.0.1
+git push origin v1.0.1
+```
+
+## Manual Build and Push
+
+If automated build fails, manual push:
+
+```bash
+# Build locally
+docker build -t ghcr.io/hkuds/ai-trader:v1.0.0 .
+
+# Login to GHCR
+echo $GITHUB_TOKEN | docker login ghcr.io -u USERNAME --password-stdin
+
+# Push
+docker push ghcr.io/hkuds/ai-trader:v1.0.0
+docker tag ghcr.io/hkuds/ai-trader:v1.0.0 ghcr.io/hkuds/ai-trader:latest
+docker push ghcr.io/hkuds/ai-trader:latest
+```

docs/plans/2025-10-30-docker-deployment-design.md

@@ -0,0 +1,491 @@
+# Docker Deployment and CI/CD Design
+
+**Date:** 2025-10-30
+**Status:** Approved
+**Target:** Development/local testing environment
+
+## Overview
+
+Package AI-Trader as a Docker container with docker-compose orchestration and automated image builds via GitHub Actions on release tags. Focus on simplicity and ease of use for researchers and developers.
+
+## Requirements
+
+- **Primary Use Case:** Development and local testing
+- **Deployment Target:** Single monolithic container (all MCP services + trading agent)
+- **Secrets Management:** Environment variables (no mounted .env file)
+- **Data Strategy:** Fetch price data on container startup
+- **Container Registry:** GitHub Container Registry (ghcr.io)
+- **Trigger:** Build images automatically on release tag push (`v*` pattern)
+
+## Architecture
+
+### Components
+
+1. **Dockerfile** - Builds Python 3.10 image with all dependencies
+2. **docker-compose.yml** - Orchestrates container with volume mounts and environment config
+3. **entrypoint.sh** - Sequential startup script (data fetch → MCP services → trading agent)
+4. **GitHub Actions Workflow** - Automated image build and push on release tags
+5. **.dockerignore** - Excludes unnecessary files from image
+6. **Documentation** - Docker usage guide and examples
+
+### Execution Flow
+
+```
+Container Start
+    ↓
+entrypoint.sh
+    ↓
+1. Fetch/merge price data (get_daily_price.py → merge_jsonl.py)
+    ↓
+2. Start MCP services in background (start_mcp_services.py)
+    ↓
+3. Wait 3 seconds for service stabilization
+    ↓
+4. Run trading agent (main.py with config)
+    ↓
+Container Exit → Cleanup MCP services
+```
+
+## Detailed Design
+
+### 1. Dockerfile
+
+**Multi-stage build:**
+
+```dockerfile
+# Base stage
+FROM python:3.10-slim as base
+
+WORKDIR /app
+
+# Install dependencies
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Application stage
+FROM base
+
+WORKDIR /app
+
+# Copy application code
+COPY . .
+
+# Create necessary directories
+RUN mkdir -p data logs data/agent_data
+
+# Make entrypoint executable
+RUN chmod +x entrypoint.sh
+
+# Expose MCP service ports
+EXPOSE 8000 8001 8002 8003
+
+# Set Python to run unbuffered
+ENV PYTHONUNBUFFERED=1
+
+# Use entrypoint script
+ENTRYPOINT ["./entrypoint.sh"]
+CMD ["configs/default_config.json"]
+```
+
+**Key Features:**
+- `python:3.10-slim` base for smaller image size
+- Multi-stage for dependency caching
+- Non-root user NOT included (dev/testing focus, can add later)
+- Unbuffered Python output for real-time logs
+- Default config path with override support
+
+### 2. docker-compose.yml
+
+```yaml
+version: '3.8'
+
+services:
+  ai-trader:
+    build: .
+    container_name: ai-trader-app
+    volumes:
+      - ./data:/app/data
+      - ./logs:/app/logs
+    environment:
+      - OPENAI_API_BASE=${OPENAI_API_BASE}
+      - OPENAI_API_KEY=${OPENAI_API_KEY}
+      - ALPHAADVANTAGE_API_KEY=${ALPHAADVANTAGE_API_KEY}
+      - JINA_API_KEY=${JINA_API_KEY}
+      - RUNTIME_ENV_PATH=/app/data/runtime_env.json
+      - MATH_HTTP_PORT=${MATH_HTTP_PORT:-8000}
+      - SEARCH_HTTP_PORT=${SEARCH_HTTP_PORT:-8001}
+      - TRADE_HTTP_PORT=${TRADE_HTTP_PORT:-8002}
+      - GETPRICE_HTTP_PORT=${GETPRICE_HTTP_PORT:-8003}
+      - AGENT_MAX_STEP=${AGENT_MAX_STEP:-30}
+    ports:
+      - "8000:8000"
+      - "8001:8001"
+      - "8002:8002"
+      - "8003:8003"
+      - "8888:8888"  # Optional: web dashboard
+    restart: unless-stopped
+```
+
+**Key Features:**
+- Volume mounts for data/logs persistence
+- Environment variables interpolated from `.env` file (Docker Compose reads automatically)
+- No `.env` file mounted into container (cleaner separation)
+- Default port values with override support
+- Restart policy for recovery
+
+### 3. entrypoint.sh
+
+```bash
+#!/bin/bash
+set -e  # Exit on any error
+
+echo "🚀 Starting AI-Trader..."
+
+# Step 1: Data preparation
+echo "📊 Fetching and merging price data..."
+cd /app/data
+python get_daily_price.py
+python merge_jsonl.py
+cd /app
+
+# Step 2: Start MCP services in background
+echo "🔧 Starting MCP services..."
+cd /app/agent_tools
+python start_mcp_services.py &
+MCP_PID=$!
+cd /app
+
+# Step 3: Wait for services to initialize
+echo "⏳ Waiting for MCP services to start..."
+sleep 3
+
+# Step 4: Run trading agent with config file
+echo "🤖 Starting trading agent..."
+CONFIG_FILE="${1:-configs/default_config.json}"
+python main.py "$CONFIG_FILE"
+
+# Cleanup on exit
+trap "echo '🛑 Stopping MCP services...'; kill $MCP_PID 2>/dev/null" EXIT
+```
+
+**Key Features:**
+- Sequential execution with clear logging
+- MCP services run in background with PID capture
+- Trap ensures cleanup on container exit
+- Config file path as argument (defaults to `configs/default_config.json`)
+- Fail-fast with `set -e`
+
+### 4. GitHub Actions Workflow
+
+**File:** `.github/workflows/docker-release.yml`
+
+```yaml
+name: Build and Push Docker Image
+
+on:
+  push:
+    tags:
+      - 'v*'  # Triggers on v1.0.0, v2.1.3, etc.
+  workflow_dispatch:  # Manual trigger option
+
+jobs:
+  build-and-push:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      packages: write
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Login to GitHub Container Registry
+        uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Extract version from tag
+        id: meta
+        run: |
+          VERSION=${GITHUB_REF#refs/tags/v}
+          echo "version=$VERSION" >> $GITHUB_OUTPUT
+
+      - name: Build and push Docker image
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          push: true
+          tags: |
+            ghcr.io/${{ github.repository_owner }}/ai-trader:${{ steps.meta.outputs.version }}
+            ghcr.io/${{ github.repository_owner }}/ai-trader:latest
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
+```
+
+**Key Features:**
+- Triggers on `v*` tags (e.g., `git tag v1.0.0 && git push origin v1.0.0`)
+- Manual dispatch option for testing
+- Uses `GITHUB_TOKEN` (automatically provided, no secrets needed)
+- Builds with caching for faster builds
+- Tags both version and `latest`
+- Multi-platform support possible by adding `platforms: linux/amd64,linux/arm64`
+
+### 5. .dockerignore
+
+```
+# Version control
+.git/
+.gitignore
+
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+venv/
+env/
+ENV/
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+
+# Environment and secrets
+.env
+.env.*
+!.env.example
+
+# Data files (fetched at runtime)
+data/*.json
+data/agent_data/
+data/merged.jsonl
+
+# Logs
+logs/
+*.log
+
+# Runtime state
+runtime_env.json
+
+# Documentation (not needed in image)
+*.md
+docs/
+!README.md
+
+# CI/CD
+.github/
+```
+
+**Purpose:**
+- Reduces image size
+- Keeps secrets out of image
+- Excludes generated files
+- Keeps only necessary source code and scripts
+
+## Documentation Updates
+
+### New File: docs/DOCKER.md
+
+Create comprehensive Docker usage guide including:
+
+1. **Quick Start**
+   ```bash
+   cp .env.example .env
+   # Edit .env with your API keys
+   docker-compose up
+   ```
+
+2. **Configuration**
+   - Required environment variables
+   - Optional configuration overrides
+   - Custom config file usage
+
+3. **Usage Examples**
+   ```bash
+   # Run with default config
+   docker-compose up
+
+   # Run with custom config
+   docker-compose run ai-trader configs/my_config.json
+
+   # View logs
+   docker-compose logs -f
+
+   # Stop and clean up
+   docker-compose down
+   ```
+
+4. **Data Persistence**
+   - How volume mounts work
+   - Where data is stored
+   - How to backup/restore
+
+5. **Troubleshooting**
+   - MCP services not starting → Check logs, verify ports available
+   - Missing API keys → Check .env file
+   - Data fetch failures → API rate limits or invalid keys
+   - Permission issues → Volume mount permissions
+
+6. **Using Pre-built Images**
+   ```bash
+   docker pull ghcr.io/hkuds/ai-trader:latest
+   docker run --env-file .env -v $(pwd)/data:/app/data ghcr.io/hkuds/ai-trader:latest
+   ```
+
+### Update .env.example
+
+Add/clarify Docker-specific variables:
+
+```bash
+# AI Model API Configuration
+OPENAI_API_BASE=https://your-openai-proxy.com/v1
+OPENAI_API_KEY=your_openai_key
+
+# Data Source Configuration
+ALPHAADVANTAGE_API_KEY=your_alpha_vantage_key
+JINA_API_KEY=your_jina_api_key
+
+# System Configuration (Docker defaults)
+RUNTIME_ENV_PATH=/app/data/runtime_env.json
+
+# MCP Service Ports
+MATH_HTTP_PORT=8000
+SEARCH_HTTP_PORT=8001
+TRADE_HTTP_PORT=8002
+GETPRICE_HTTP_PORT=8003
+
+# Agent Configuration
+AGENT_MAX_STEP=30
+```
+
+### Update Main README.md
+
+Add Docker section after "Quick Start":
+
+```markdown
+## Docker Deployment
+
+### Using Docker Compose (Recommended)
+
+```bash
+# Setup environment
+cp .env.example .env
+# Edit .env with your API keys
+
+# Run with docker-compose
+docker-compose up
+```
+
+### Using Pre-built Images
+
+```bash
+# Pull latest image
+docker pull ghcr.io/hkuds/ai-trader:latest
+
+# Run container
+docker run --env-file .env \
+  -v $(pwd)/data:/app/data \
+  -v $(pwd)/logs:/app/logs \
+  ghcr.io/hkuds/ai-trader:latest
+```
+
+See [docs/DOCKER.md](docs/DOCKER.md) for detailed Docker usage guide.
+```
+
+## Release Process
+
+### For Maintainers
+
+1. **Prepare release:**
+   ```bash
+   # Ensure main branch is ready
+   git checkout main
+   git pull origin main
+   ```
+
+2. **Create and push tag:**
+   ```bash
+   git tag v1.0.0
+   git push origin v1.0.0
+   ```
+
+3. **GitHub Actions automatically:**
+   - Builds Docker image
+   - Tags with version and `latest`
+   - Pushes to `ghcr.io/hkuds/ai-trader`
+
+4. **Verify build:**
+   - Check Actions tab for build status
+   - Test pull: `docker pull ghcr.io/hkuds/ai-trader:v1.0.0`
+
+5. **Optional: Create GitHub Release**
+   - Add release notes
+   - Include Docker pull command
+
+### For Users
+
+```bash
+# Pull specific version
+docker pull ghcr.io/hkuds/ai-trader:v1.0.0
+
+# Or always get latest
+docker pull ghcr.io/hkuds/ai-trader:latest
+```
+
+## Implementation Checklist
+
+- [ ] Create Dockerfile with multi-stage build
+- [ ] Create docker-compose.yml with volume mounts and environment config
+- [ ] Create entrypoint.sh with sequential startup logic
+- [ ] Create .dockerignore to exclude unnecessary files
+- [ ] Create .github/workflows/docker-release.yml for CI/CD
+- [ ] Create docs/DOCKER.md with comprehensive usage guide
+- [ ] Update .env.example with Docker-specific variables
+- [ ] Update main README.md with Docker deployment section
+- [ ] Test local build: `docker-compose build`
+- [ ] Test local run: `docker-compose up`
+- [ ] Test with custom config
+- [ ] Verify data persistence across container restarts
+- [ ] Test GitHub Actions workflow (create test tag)
+- [ ] Verify image pushed to ghcr.io
+- [ ] Test pulling and running pre-built image
+- [ ] Update CLAUDE.md with Docker commands
+
+## Future Enhancements
+
+Possible improvements for production use:
+
+1. **Multi-container Architecture**
+   - Separate containers for each MCP service
+   - Better isolation and independent scaling
+   - More complex orchestration
+
+2. **Security Hardening**
+   - Non-root user in container
+   - Docker secrets for production
+   - Read-only filesystem where possible
+
+3. **Monitoring**
+   - Health checks for MCP services
+   - Prometheus metrics export
+   - Logging aggregation
+
+4. **Optimization**
+   - Multi-platform builds (ARM64 support)
+   - Smaller base image (alpine)
+   - Layer caching optimization
+
+5. **Development Tools**
+   - docker-compose.dev.yml with hot reload
+   - Debug container with additional tools
+   - Integration test container
+
+These are deferred to keep initial implementation simple and focused on development/testing use cases.

docs/plans/docker-test-results.txt

@@ -0,0 +1,102 @@
+Docker Build Test Results
+==========================
+Date: 2025-10-30
+Branch: docker-deployment
+Working Directory: /home/bballou/AI-Trader/.worktrees/docker-deployment
+
+Test 1: Docker Image Build
+---------------------------
+Command: docker-compose build
+Status: SUCCESS
+Result: Successfully built image 7b36b8f4c0e9
+
+Build Output Summary:
+- Base image: python:3.10-slim
+- Build stages: Multi-stage build (base + application)
+- Dependencies installed successfully from requirements.txt
+- Application code copied
+- Directories created: data, logs, data/agent_data
+- Entrypoint script made executable
+- Ports exposed: 8000, 8001, 8002, 8003, 8888
+- Environment: PYTHONUNBUFFERED=1 set
+- Image size: 266MB
+- Build time: ~2 minutes (including dependency installation)
+
+Key packages installed:
+- langchain==1.0.2
+- langchain-openai==1.0.1
+- langchain-mcp-adapters>=0.1.0
+- fastmcp==2.12.5
+- langgraph<1.1.0,>=1.0.0
+- pydantic<3.0.0,>=2.7.4
+- openai<3.0.0,>=1.109.1
+- All dependencies resolved without conflicts
+
+Test 2: Image Verification
+---------------------------
+Command: docker images | grep ai-trader
+Status: SUCCESS
+Result: docker-deployment_ai-trader     latest          7b36b8f4c0e9   9 seconds ago   266MB
+
+Image Details:
+- Repository: docker-deployment_ai-trader
+- Tag: latest
+- Image ID: 7b36b8f4c0e9
+- Created: Just now
+- Size: 266MB (reasonable for Python 3.10 + ML dependencies)
+
+Test 3: Configuration Parsing (Dry-Run)
+----------------------------------------
+Command: docker-compose --env-file .env.test config
+Status: SUCCESS
+Result: Configuration parsed correctly without errors
+
+Test .env.test contents:
+OPENAI_API_KEY=test
+ALPHAADVANTAGE_API_KEY=test
+JINA_API_KEY=test
+RUNTIME_ENV_PATH=/app/data/runtime_env.json
+
+Parsed Configuration:
+- Service name: ai-trader
+- Container name: ai-trader-app
+- Build context: /home/bballou/AI-Trader/.worktrees/docker-deployment
+- Environment variables correctly injected:
+  * AGENT_MAX_STEP: '30' (default)
+  * ALPHAADVANTAGE_API_KEY: test
+  * GETPRICE_HTTP_PORT: '8003' (default)
+  * JINA_API_KEY: test
+  * MATH_HTTP_PORT: '8000' (default)
+  * OPENAI_API_BASE: '' (not set, defaulted to blank)
+  * OPENAI_API_KEY: test
+  * RUNTIME_ENV_PATH: /app/data/runtime_env.json
+  * SEARCH_HTTP_PORT: '8001' (default)
+  * TRADE_HTTP_PORT: '8002' (default)
+- Ports correctly mapped: 8000, 8001, 8002, 8003, 8888
+- Volumes correctly configured:
+  * ./data:/app/data:rw
+  * ./logs:/app/logs:rw
+- Restart policy: unless-stopped
+- Docker Compose version: 3.8
+
+Summary
+-------
+All Docker build tests PASSED successfully:
+✓ Docker image builds without errors
+✓ Image created with reasonable size (266MB)
+✓ Multi-stage build optimizes layer caching
+✓ All Python dependencies install correctly
+✓ Configuration parsing works with test environment
+✓ Environment variables properly injected
+✓ Volume mounts configured correctly
+✓ Port mappings set up correctly
+✓ Restart policy configured
+
+No issues encountered during local Docker build testing.
+The Docker deployment is ready for use.
+
+Next Steps:
+1. Test actual container startup with valid API keys
+2. Verify MCP services start correctly in container
+3. Test trading agent execution
+4. Consider creating test tag for GitHub Actions CI/CD verification

entrypoint.sh

@@ -0,0 +1,30 @@
+#!/bin/bash
+set -e  # Exit on any error
+
+echo "🚀 Starting AI-Trader..."
+
+# Step 1: Data preparation
+echo "📊 Fetching and merging price data..."
+cd /app/data
+python get_daily_price.py
+python merge_jsonl.py
+cd /app
+
+# Step 2: Start MCP services in background
+echo "🔧 Starting MCP services..."
+cd /app/agent_tools
+python start_mcp_services.py &
+MCP_PID=$!
+cd /app
+
+# Step 3: Wait for services to initialize
+echo "⏳ Waiting for MCP services to start..."
+sleep 3
+
+# Step 4: Run trading agent with config file
+echo "🤖 Starting trading agent..."
+CONFIG_FILE="${1:-configs/default_config.json}"
+python main.py "$CONFIG_FILE"
+
+# Cleanup on exit
+trap "echo '🛑 Stopping MCP services...'; kill $MCP_PID 2>/dev/null; exit 0" EXIT SIGTERM SIGINT