retryit 🔄
Smart retry decorator with exponential backoff for Python.
Installation
pip install retryit
Usage
from retryit import retry
@retry(max_attempts=3, delay=1, backoff=2)
def fetch_data():
return requests.get("https://api.example.com/data")
# With specific exceptions
@retry(max_attempts=5, exceptions=(ConnectionError, TimeoutError))
def connect_to_db():
return database.connect()
# With callback on retry
def log_retry(exception, attempt):
print(f"Attempt {attempt} failed: {exception}")
@retry(max_attempts=3, on_retry=log_retry)
def unreliable_function():
# ...
Async Support
from retryit import retry_async
@retry_async(max_attempts=3, delay=1)
async def fetch_data():
async with aiohttp.ClientSession() as session:
return await session.get("https://api.example.com/data")
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
max_attempts |
int | 3 | Maximum retry attempts |
delay |
float | 1.0 | Initial delay (seconds) |
backoff |
float | 2.0 | Delay multiplier |
exceptions |
tuple | (Exception,) | Exceptions to catch |
on_retry |
callable | None | Callback on each retry |
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for pyretryit-rj 1.0.0
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