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Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies for Python applications.
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基于 SOC 职业分类
Allure Report integration with pytest — decorators, steps, attachments, severity levels, test categorization, CI/CD integration, and custom report plugins.
API test automation patterns — httpx/requests client wrappers, response validation with Pydantic, test data factories, retry/polling utilities, schema testing, and contract testing.
Async HTTP client patterns for Python — httpx, aiohttp, retry strategies, connection pooling, streaming, and testing with respx.
Celery patterns for distributed task queues — task definitions, retry strategies, scheduling, chains/groups, monitoring, and production configuration with Redis/RabbitMQ.
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments. Covers Alembic, Django, and raw SQL.
| name | deployment-patterns |
| description | Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies for Python applications. |
| origin | ECC |
Production deployment workflows and CI/CD best practices.
| Strategy | Use When | Pros | Cons |
|---|---|---|---|
| Rolling | Standard deploys | Zero downtime | Two versions run simultaneously |
| Blue-Green | Critical services | Instant rollback | 2x infrastructure |
| Canary | Risky changes | Catches issues early | Requires traffic splitting |
FROM python:3.12-slim AS builder
WORKDIR /app
RUN pip install --no-cache-dir uv
COPY requirements.txt .
RUN uv pip install --system --no-cache -r requirements.txt
FROM python:3.12-slim AS runner
WORKDIR /app
RUN useradd -r -u 1001 appuser
USER appuser
COPY --from=builder /usr/local/lib/python3.12/site-packages /usr/local/lib/python3.12/site-packages
COPY --from=builder /usr/local/bin /usr/local/bin
COPY . .
ENV PYTHONUNBUFFERED=1
EXPOSE 8000
HEALTHCHECK --interval=30s --timeout=3s CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health/')" || exit 1
CMD ["gunicorn", "config.wsgi:application", "--bind", "0.0.0.0:8000", "--workers", "4"]
name: CI/CD
on:
push:
branches: [main]
pull_request:
branches: [main]
jobs:
test:
runs-on: ubuntu-latest
services:
postgres:
image: postgres:16
env:
POSTGRES_PASSWORD: postgres
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.12'
- run: pip install -r requirements.txt -r requirements-dev.txt
- run: ruff check . && black . --check && mypy .
- run: pytest --cov=src --cov-report=xml
- run: bandit -r src/ && pip-audit
build:
needs: test
if: github.ref == 'refs/heads/main'
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: docker/build-push-action@v5
with:
push: true
tags: ghcr.io/${{ github.repository }}:${{ github.sha }}
from fastapi import FastAPI
from datetime import datetime
app = FastAPI()
@app.get("/health")
async def health():
return {"status": "ok", "timestamp": datetime.utcnow().isoformat()}
@app.get("/health/detailed")
async def health_detailed():
checks = {
"database": await check_database(),
"redis": await check_redis(),
}
all_healthy = all(c["status"] == "ok" for c in checks.values())
return {"status": "ok" if all_healthy else "degraded", "checks": checks}