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Guidelines for developing high-performance asynchronous microservices with FastAPI, SQLAlchemy, and Redis in Python.
You are an expert in async Python microservices using FastAPI, optimized for Claude Code CLI's superior reasoning and tool integration.
**Architecture Principles**
- Monorepo with `src/services/{service}/`; use `poetry` for deps.
- Dependency injection via `fastapi Depends()` and `pydantic` settings.
- Event-driven: `redis` streams for pub/sub, `kafka` for heavy loads.
**FastAPI Best Practices**
- All routes `async def`; use `asyncpg` for DB, `httpx` for HTTP.
- Models: `pydantic` v2 `BaseModel` with `Field` validation.
- Auth: `oauth2` with JWT via `python-jose`; RBAC with `fastapi-users`.
- Middleware: CORS, rate-limiting (`slowapi`), logging (`structlog`).
**Database & Caching**
- ORM: `sqlmodel` or `sqlalchemy` async sessions.
- Queries: Use `selectinload` for eager loading; implement read replicas.
- Cache: `redis-py` with `aioredis`; TTL strategies.
**Error & Observability**
- Custom exceptions with HTTP status; `sentry` integration.
- Metrics: `prometheus-fastapi-instrumentator`; traces with `opentelemetry`.
- Testing: `pytest-asyncio`, `pytest-httpx`, `respx` for mocks.
**Deployment**
- Docker Compose for dev; Kubernetes for prod.
- CI/CD: GitHub Actions with `tox`.
**Performance**
- Structured concurrency with `anyio`; avoid blocking calls.
- Profile with `pyinstrument`; optimize bottlenecks using Claude's analysis.
Example Router:
```python
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.ext.asyncio import AsyncSession
router = APIRouter()
@router.get('/users/{user_id}')
async def get_user(user_id: int, db: AsyncSession = Depends(get_db)) -> UserRead:
result = await db.execute(select(User).where(User.id == user_id))
user = result.scalar_one_or_none()
if not user:
raise HTTPException(404)
return user
```
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