mirror of
https://github.com/Xe138/AI-Trader.git
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Bill
156d0cab21
Local build verification completed successfully Image builds without errors Configuration parses correctly
103 lines
3.2 KiB
Plaintext
103 lines
3.2 KiB
Plaintext
Docker Build Test Results
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==========================
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Date: 2025-10-30
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Branch: docker-deployment
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Working Directory: /home/bballou/AI-Trader/.worktrees/docker-deployment
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Test 1: Docker Image Build
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---------------------------
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Command: docker-compose build
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Status: SUCCESS
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Result: Successfully built image 7b36b8f4c0e9
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Build Output Summary:
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- Base image: python:3.10-slim
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- Build stages: Multi-stage build (base + application)
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- Dependencies installed successfully from requirements.txt
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- Application code copied
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- Directories created: data, logs, data/agent_data
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- Entrypoint script made executable
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- Ports exposed: 8000, 8001, 8002, 8003, 8888
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- Environment: PYTHONUNBUFFERED=1 set
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- Image size: 266MB
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- Build time: ~2 minutes (including dependency installation)
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Key packages installed:
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- langchain==1.0.2
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- langchain-openai==1.0.1
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- langchain-mcp-adapters>=0.1.0
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- fastmcp==2.12.5
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- langgraph<1.1.0,>=1.0.0
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- pydantic<3.0.0,>=2.7.4
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- openai<3.0.0,>=1.109.1
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- All dependencies resolved without conflicts
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Test 2: Image Verification
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---------------------------
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Command: docker images | grep ai-trader
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Status: SUCCESS
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Result: docker-deployment_ai-trader latest 7b36b8f4c0e9 9 seconds ago 266MB
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Image Details:
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- Repository: docker-deployment_ai-trader
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- Tag: latest
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- Image ID: 7b36b8f4c0e9
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- Created: Just now
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- Size: 266MB (reasonable for Python 3.10 + ML dependencies)
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Test 3: Configuration Parsing (Dry-Run)
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----------------------------------------
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Command: docker-compose --env-file .env.test config
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Status: SUCCESS
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Result: Configuration parsed correctly without errors
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Test .env.test contents:
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OPENAI_API_KEY=test
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ALPHAADVANTAGE_API_KEY=test
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JINA_API_KEY=test
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RUNTIME_ENV_PATH=/app/data/runtime_env.json
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Parsed Configuration:
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- Service name: ai-trader
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- Container name: ai-trader-app
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- Build context: /home/bballou/AI-Trader/.worktrees/docker-deployment
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- Environment variables correctly injected:
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* AGENT_MAX_STEP: '30' (default)
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* ALPHAADVANTAGE_API_KEY: test
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* GETPRICE_HTTP_PORT: '8003' (default)
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* JINA_API_KEY: test
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* MATH_HTTP_PORT: '8000' (default)
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* OPENAI_API_BASE: '' (not set, defaulted to blank)
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* OPENAI_API_KEY: test
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* RUNTIME_ENV_PATH: /app/data/runtime_env.json
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* SEARCH_HTTP_PORT: '8001' (default)
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* TRADE_HTTP_PORT: '8002' (default)
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- Ports correctly mapped: 8000, 8001, 8002, 8003, 8888
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- Volumes correctly configured:
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* ./data:/app/data:rw
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* ./logs:/app/logs:rw
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- Restart policy: unless-stopped
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- Docker Compose version: 3.8
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Summary
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-------
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All Docker build tests PASSED successfully:
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✓ Docker image builds without errors
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✓ Image created with reasonable size (266MB)
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✓ Multi-stage build optimizes layer caching
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✓ All Python dependencies install correctly
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✓ Configuration parsing works with test environment
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✓ Environment variables properly injected
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✓ Volume mounts configured correctly
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✓ Port mappings set up correctly
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✓ Restart policy configured
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No issues encountered during local Docker build testing.
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The Docker deployment is ready for use.
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Next Steps:
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1. Test actual container startup with valid API keys
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2. Verify MCP services start correctly in container
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3. Test trading agent execution
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4. Consider creating test tag for GitHub Actions CI/CD verification
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