| Vulnerabilities | |||||
|---|---|---|---|---|---|
| Version | Suggest | Low | Medium | High | Critical |
| 2.9.1 | 0 | 0 | 0 | 0 | 0 |
| 2.9.0 | 0 | 0 | 0 | 0 | 0 |
| 2.8.3 | 0 | 0 | 0 | 0 | 0 |
| 2.8.2 | 0 | 0 | 0 | 0 | 0 |
| 2.8.1 | 0 | 0 | 0 | 0 | 0 |
| 2.8.0 | 0 | 0 | 0 | 0 | 0 |
| 2.7.0 | 0 | 0 | 0 | 0 | 0 |
| 2.6.1 | 0 | 0 | 0 | 0 | 0 |
| 2.5.6 | 0 | 0 | 0 | 0 | 0 |
| 2.5.5 | 0 | 0 | 0 | 0 | 0 |
| 2.5.4 | 0 | 0 | 0 | 0 | 0 |
| 2.5.3 | 0 | 0 | 0 | 0 | 0 |
| 2.5.2 | 0 | 0 | 0 | 0 | 0 |
| 2.5.1 | 0 | 0 | 0 | 0 | 0 |
| 2.5.0 | 0 | 0 | 0 | 0 | 0 |
| 2.4.8 | 0 | 0 | 0 | 0 | 0 |
| 2.4.7 | 0 | 0 | 0 | 0 | 0 |
| 2.4.6 | 0 | 0 | 0 | 0 | 0 |
| 2.4.5 | 0 | 0 | 0 | 0 | 0 |
| 2.4.0 | 0 | 0 | 0 | 0 | 0 |
| 2.3.5 | 0 | 0 | 0 | 0 | 0 |
| 2.3.4 | 0 | 0 | 0 | 0 | 0 |
| 2.3.3 | 0 | 0 | 0 | 0 | 0 |
| 2.3.2 | 0 | 0 | 0 | 0 | 0 |
| 2.3.1 | 0 | 0 | 0 | 0 | 0 |
| 2.3 | 0 | 0 | 0 | 0 | 0 |
| 2.2 | 0 | 0 | 0 | 0 | 0 |
| 2.1 | 0 | 0 | 0 | 0 | 0 |
| 2.0 | 0 | 0 | 0 | 0 | 0 |
| 1.2 | 0 | 0 | 0 | 0 | 0 |
| 1.1.5 | 0 | 0 | 0 | 0 | 0 |
| 1.1 | 0 | 0 | 0 | 0 | 0 |
| 1.0 | 0 | 0 | 0 | 0 | 0 |
| 0.2 | 0 | 0 | 0 | 0 | 0 |
| 0.1 | 0 | 0 | 0 | 0 | 0 |
2.9.1 - This version is safe to use because it has no known security vulnerabilities at this time. Find out if your coding project uses this component and get notified of any reported security vulnerabilities with Meterian-X Open Source Security Platform
Maintain your licence declarations and avoid unwanted licences to protect your IP the way you intended.
MIT - MIT LicensePython 3.9 or higher.
Install: pip install aiohttp-retry.
Everything between [2.7.0 - 2.8.3) is yanked.
There is a bug with evaluate_response_callback, it led to infinite retries
2.8.0 is incorrect and yanked. https://github.com/inyutin/aiohttp_retry/issues/79
Since 2.5.6 this is a new parameter in get_timeout func called "response".
If you have defined your own RetryOptions, you should add this param into it.
Issue about this: https://github.com/inyutin/aiohttp_retry/issues/59
from aiohttp_retry import RetryClient, ExponentialRetry
async def main():
retry_options = ExponentialRetry(attempts=1)
retry_client = RetryClient(raise_for_status=False, retry_options=retry_options)
async with retry_client.get('https://ya.ru') as response:
print(response.status)
await retry_client.close()from aiohttp import ClientSession
from aiohttp_retry import RetryClient
async def main():
client_session = ClientSession()
retry_client = RetryClient(client_session=client_session)
async with retry_client.get('https://ya.ru') as response:
print(response.status)
await client_session.close()from aiohttp_retry import RetryClient, RandomRetry
async def main():
retry_options = RandomRetry(attempts=1)
retry_client = RetryClient(raise_for_status=False, retry_options=retry_options)
response = await retry_client.get('/ping')
print(response.status)
await retry_client.close()from aiohttp_retry import RetryClient
async def main():
async with RetryClient() as client:
async with client.get('https://ya.ru') as response:
print(response.status)You can change parameters between attempts by passing multiple requests params:
from aiohttp_retry import RetryClient, RequestParams, ExponentialRetry
async def main():
retry_client = RetryClient(raise_for_status=False)
async with retry_client.requests(
params_list=[
RequestParams(
method='GET',
url='https://ya.ru',
),
RequestParams(
method='GET',
url='https://ya.ru',
headers={'some_header': 'some_value'},
),
]
) as response:
print(response.status)
await retry_client.close()You can also add some logic, F.E. logging, on failures by using trace mechanic.
import logging
import sys
from types import SimpleNamespace
from aiohttp import ClientSession, TraceConfig, TraceRequestStartParams
from aiohttp_retry import RetryClient, ExponentialRetry
handler = logging.StreamHandler(sys.stdout)
logging.basicConfig(handlers=[handler])
logger = logging.getLogger(__name__)
retry_options = ExponentialRetry(attempts=2)
async def on_request_start(
session: ClientSession,
trace_config_ctx: SimpleNamespace,
params: TraceRequestStartParams,
) -> None:
current_attempt = trace_config_ctx.trace_request_ctx['current_attempt']
if retry_options.attempts <= current_attempt:
logger.warning('Wow! We are in last attempt')
async def main():
trace_config = TraceConfig()
trace_config.on_request_start.append(on_request_start)
retry_client = RetryClient(retry_options=retry_options, trace_configs=[trace_config])
response = await retry_client.get('https://httpstat.us/503', ssl=False)
print(response.status)
await retry_client.close()Look tests for more examples.
Be aware: last request returns as it is.
If the last request ended with exception, that this exception will be raised from RetryClient request
RetryClient takes the same arguments as ClientSession[docs]
RetryClient has methods:
They are same as for ClientSession, but take one possible additional argument:
class RetryOptionsBase:
def __init__(
self,
attempts: int = 3, # How many times we should retry
statuses: Iterable[int] | None = None, # On which statuses we should retry
exceptions: Iterable[type[Exception]] | None = None, # On which exceptions we should retry, by default on all
retry_all_server_errors: bool = True, # If should retry all 500 errors or not
# a callback that will run on response to decide if retry
evaluate_response_callback: EvaluateResponseCallbackType | None = None,
):
...
@abc.abstractmethod
def get_timeout(self, attempt: int, response: Optional[Response] = None) -> float:
raise NotImplementedErrorYou can specify RetryOptions both for RetryClient and it's methods.
RetryOptions in methods override RetryOptions defined in RetryClient constructor.
Important: by default all 5xx responses are retried + statuses you specified as statuses param
If you will pass retry_all_server_errors=False than you can manually set what 5xx errors to retry.
You can define your own timeouts logic or use:
ExponentialRetry with exponential backoffRandomRetry for random backoffListRetry with backoff you predefine by listFibonacciRetry with backoff that looks like fibonacci sequenceJitterRetry exponential retry with a bit of randomnessImportant: you can proceed server response as an parameter for calculating next timeout.
However this response can be None, server didn't make a response or you have set up raise_for_status=True
Look here for an example: https://github.com/inyutin/aiohttp_retry/issues/59
Additionally, you can specify evaluate_response_callback. It receive a ClientResponse and decide to retry or not by returning a bool.
It can be useful, if server API sometimes response with malformed data.
RetryClient add current attempt number to request_trace_ctx (see examples,
for more info see aiohttp doc).
RetryClient also has a method called requests. This method should be used if you want to make requests with different params.
@dataclass
class RequestParams:
method: str
url: _RAW_URL_TYPE
headers: dict[str, Any] | None = None
trace_request_ctx: dict[str, Any] | None = None
kwargs: dict[str, Any] | None = Nonedef requests(
self,
params_list: list[RequestParams],
retry_options: RetryOptionsBase | None = None,
raise_for_status: bool | None = None,
) -> _RequestContext:You can find an example of usage above or in tests.
But basically RequestParams is a structure to define params for ClientSession.request func.
method, url, headers trace_request_ctx defined outside kwargs, because they are popular.
There is also an old way to change URL between retries by specifying url as list of urls. Example:
from aiohttp_retry import RetryClient
retry_client = RetryClient()
async with retry_client.get(url=['/internal_error', '/ping']) as response:
text = await response.text()
assert response.status == 200
assert text == 'Ok!'
await retry_client.close()In this example we request /interval_error, fail and then successfully request /ping.
If you specify less urls than attempts number in RetryOptions, RetryClient will request last url at last attempts.
This means that in example above we would request /ping once again in case of failure.
aiohttp_retry is a typed project. It should be fully compatible with mypy.
It also introduce one special type:
ClientType = Union[ClientSession, RetryClient]
This type can be imported by from aiohttp_retry.types import ClientType