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---
name: async-await-checker
description: Automatically applies when writing Python functions that call async operations. Ensures proper async/await pattern usage (not asyncio.run) to prevent event loop errors.
---
# Async/Await Pattern Enforcer
When you are writing or modifying Python functions that:
- Call any function with `async def`
- Work with async I/O operations (database, HTTP, file I/O)
- Need to run in an async context (FastAPI, async frameworks)
**Always apply these patterns:**
## ✅ Correct Pattern
```python
# Helper function
async def fetch_user_data(user_id: str) -> dict:
"""Fetch user data from database."""
result = await db.query(user_id) # ✅ Use await
return result
# API endpoint (FastAPI)
@app.get("/users/{user_id}")
async def get_user(user_id: str) -> dict: # ✅ async def
data = await fetch_user_data(user_id) # ✅ await
return data
# Multiple async calls
async def process_order(order_id: str) -> dict:
# ✅ Run sequentially
user = await fetch_user(order_id)
payment = await process_payment(user.id)
# ✅ Run in parallel with asyncio.gather
results = await asyncio.gather(
send_email(user.email),
update_inventory(order_id),
log_transaction(payment.id)
)
return {"status": "success"}
```
## ❌ Incorrect Pattern (Causes Runtime Errors)
```python
# ❌ Don't do this
def fetch_user_data(user_id: str):
result = asyncio.run(db.query(user_id)) # ❌ asyncio.run in event loop = error!
return result
# ❌ Missing async
@app.get("/users/{user_id}")
def get_user(user_id: str): # ❌ Should be async def
data = fetch_user_data(user_id) # ❌ Not awaiting
return data
# ❌ Blocking in async function
async def process_order(order_id: str):
time.sleep(5) # ❌ Blocks event loop! Use asyncio.sleep(5)
return await fetch_data()
```
## Why This Matters
**Runtime Error:** `asyncio.run()` fails when called from within an already-running event loop.
**Solution:** Always use `async def` + `await` pattern.
**Performance:** Blocking operations in async functions defeat the purpose of async code.
## Common Async Operations
**Database queries:**
```python
async def get_records():
async with db.session() as session:
result = await session.execute(query)
return result.fetchall()
```
**HTTP requests:**
```python
import httpx
async def fetch_api_data(url: str):
async with httpx.AsyncClient() as client:
response = await client.get(url)
return response.json()
```
**File I/O:**
```python
import aiofiles
async def read_file(path: str):
async with aiofiles.open(path, 'r') as f:
content = await f.read()
return content
```
## Error Handling in Async
```python
async def safe_api_call(url: str):
try:
async with httpx.AsyncClient() as client:
response = await client.get(url, timeout=10.0)
response.raise_for_status()
return response.json()
except httpx.TimeoutException:
raise TimeoutError(f"Request to {url} timed out")
except httpx.HTTPStatusError as e:
raise APIError(f"API error: {e.response.status_code}")
```
## Testing Async Code
```python
import pytest
@pytest.mark.asyncio
async def test_fetch_user_data():
"""Test async function"""
result = await fetch_user_data("user_123")
assert result["id"] == "user_123"
@pytest.mark.asyncio
async def test_with_mock():
"""Test with mocked async dependency"""
with patch('module.db.query') as mock_query:
mock_query.return_value = {"id": "test"}
result = await fetch_user_data("test")
assert result["id"] == "test"
```
## ❌ Anti-Patterns
```python
# ❌ Mixing sync and async incorrectly
def sync_function():
return asyncio.run(async_function()) # Only OK at top level!
# ❌ Not using asyncio.gather for parallel operations
async def slow_version():
result1 = await operation1() # Waits
result2 = await operation2() # Waits
result3 = await operation3() # Waits
return [result1, result2, result3]
# ✅ Better: parallel execution
async def fast_version():
results = await asyncio.gather(
operation1(),
operation2(),
operation3()
)
return results
# ❌ Forgetting error handling in gather
async def unsafe():
await asyncio.gather(op1(), op2()) # If op1 fails, op2 continues
# ✅ Better: return exceptions
async def safe():
results = await asyncio.gather(
op1(), op2(),
return_exceptions=True
)
for result in results:
if isinstance(result, Exception):
handle_error(result)
```
## Best Practices Checklist
- ✅ Use `async def` for any function that awaits
- ✅ Use `await` for all async calls
- ✅ Use `asyncio.gather()` for parallel operations
- ✅ Use `async with` for async context managers
- ✅ Use `asyncio.sleep()` instead of `time.sleep()`
- ✅ Add proper error handling with try/except
- ✅ Use `@pytest.mark.asyncio` for async tests
- ✅ Consider timeouts for external operations
- ✅ Use `return_exceptions=True` in gather when appropriate
## Auto-Apply
When you see code calling async functions, automatically:
1. Make the calling function `async def`
2. Use `await` for async calls
3. Update callers to also be async (chain up)
4. Add `@pytest.mark.asyncio` to tests
5. Replace blocking calls with async equivalents
## Related Skills
- pytest-patterns - For testing async code
- structured-errors - For async error handling
- tool-design-pattern - For async tools