dienakdz
87f2845483
- Cleaned up whitespace and formatting in various files including http.py, language.py, logger.py, safe_exec.py, and SQL migration scripts. - Consolidated import statements and removed unnecessary blank lines. - Updated logging configuration for better clarity. - Enhanced the safe execution code with improved error handling and logging. - Removed commented-out code and unnecessary variables in backfill_zero_trades.py and other scripts. - Added a pyproject.toml for Ruff and Vulture configuration. - Introduced requirements-dev.txt for development dependencies. - Removed commented-out stock entries in init.sql for cleaner migration scripts.
118 lines
3.7 KiB
YAML
118 lines
3.7 KiB
YAML
# QuantDinger Docker Compose - One-Click Deployment
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# Usage:
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# 1. Copy env.example to .env and edit your settings
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# cp backend_api_python/env.example backend_api_python/.env
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# 2. IMPORTANT: Generate and set a secure SECRET_KEY in backend_api_python/.env
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# SECRET_KEY=$(python3 -c "import secrets; print(secrets.token_hex(32))")
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# Or edit backend_api_python/.env and replace SECRET_KEY value
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# 3. docker-compose up -d --build
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# 4. Open http://localhost:8888
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#
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# Frontend image: nginx serving prebuilt files from `frontend/dist`.
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# The open-source repo does not require Node.js to build the frontend image.
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#
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# Note: The container will NOT start if SECRET_KEY is using the default value.
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# This is a security measure to prevent insecure deployments.
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#
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# Docker image sources:
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# Default uses official Docker Hub images.
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# To switch source globally, set a single `IMAGE_PREFIX` in project-root `.env`.
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# Examples: empty (official), `docker.m.daocloud.io/library/`,
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# `docker.xuanyuan.me/library/`.
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services:
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# ========================
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# PostgreSQL Database
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# ========================
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postgres:
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image: ${IMAGE_PREFIX:-}postgres:16-alpine
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container_name: quantdinger-db
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restart: unless-stopped
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environment:
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POSTGRES_DB: ${POSTGRES_DB:-quantdinger}
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POSTGRES_USER: ${POSTGRES_USER:-quantdinger}
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POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-quantdinger123}
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TZ: ${TZ:-Asia/Shanghai}
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volumes:
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- postgres_data:/var/lib/postgresql/data
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- ./backend_api_python/migrations/init.sql:/docker-entrypoint-initdb.d/01-init.sql
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ports:
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- "${DB_PORT:-127.0.0.1:5432}:5432"
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networks:
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- quantdinger-network
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-quantdinger} -d ${POSTGRES_DB:-quantdinger}"]
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interval: 10s
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timeout: 5s
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retries: 5
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# ========================
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# Backend API (Python/Flask)
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# ========================
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backend:
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build:
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context: ./backend_api_python
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dockerfile: Dockerfile
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args:
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BASE_IMAGE: ${IMAGE_PREFIX:-}python:3.12-slim-bookworm
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container_name: quantdinger-backend
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restart: unless-stopped
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depends_on:
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postgres:
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condition: service_healthy
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ports:
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- "${BACKEND_PORT:-127.0.0.1:5000}:5000"
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volumes:
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- backend_logs:/app/logs
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- backend_data:/app/data
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# Mount .env for runtime config and admin-panel updates
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- ./backend_api_python/.env:/app/.env
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environment:
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- PYTHON_API_HOST=0.0.0.0
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- PYTHON_API_PORT=5000
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- TZ=${TZ:-Asia/Shanghai}
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- DATABASE_URL=postgresql://${POSTGRES_USER:-quantdinger}:${POSTGRES_PASSWORD:-quantdinger123}@postgres:5432/${POSTGRES_DB:-quantdinger}
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- DB_TYPE=postgresql
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networks:
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- quantdinger-network
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:5000/api/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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# ========================
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# Frontend (Nginx serving prebuilt dist)
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# ========================
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# frontend:
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# build:
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# context: .
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# dockerfile: frontend/Dockerfile
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# args:
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# RUNTIME_IMAGE: ${IMAGE_PREFIX:-}nginx:1.25-alpine
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# container_name: quantdinger-frontend
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# restart: unless-stopped
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# ports:
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# - "${FRONTEND_PORT:-8888}:80"
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# depends_on:
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# - backend
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# networks:
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# - quantdinger-network
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# healthcheck:
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# test: ["CMD", "curl", "-f", "http://localhost/health"]
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# interval: 30s
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# timeout: 10s
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# retries: 3
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volumes:
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postgres_data:
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driver: local
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backend_logs:
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driver: local
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backend_data:
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driver: local
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networks:
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quantdinger-network:
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driver: bridge
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