codekingpro/portable-devtools
114k
1# Copyright 2020 Google LLC2#3# Licensed under the Apache License, Version 2.0 (the "License");4# you may not use this file except in compliance with the License.5# You may obtain a copy of the License at6#7# http://www.apache.org/licenses/LICENSE-2.08#9# Unless required by applicable law or agreed to in writing, software10# distributed under the License is distributed on an "AS IS" BASIS,11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.12# See the License for the specific language governing permissions and13# limitations under the License.14 15"""Helpers for retrying coroutine functions with exponential back-off.16 17The :class:`AsyncRetry` decorator shares most functionality and behavior with18:class:`Retry`, but supports coroutine functions. Please refer to description19of :class:`Retry` for more details.20 21By default, this decorator will retry transient22API errors (see :func:`if_transient_error`). For example:23 24.. code-block:: python25 26 @retry_async.AsyncRetry()27 async def call_flaky_rpc():28 return await client.flaky_rpc()29 30 # Will retry flaky_rpc() if it raises transient API errors.31 result = await call_flaky_rpc()32 33You can pass a custom predicate to retry on different exceptions, such as34waiting for an eventually consistent item to be available:35 36.. code-block:: python37 38 @retry_async.AsyncRetry(predicate=retry_async.if_exception_type(exceptions.NotFound))39 async def check_if_exists():40 return await client.does_thing_exist()41 42 is_available = await check_if_exists()43 44Some client library methods apply retry automatically. These methods can accept45a ``retry`` parameter that allows you to configure the behavior:46 47.. code-block:: python48 49 my_retry = retry_async.AsyncRetry(timeout=60)50 result = await client.some_method(retry=my_retry)51 52"""53 54from __future__ import annotations55 56import asyncio57import time58import functools59from typing import (60 Awaitable,61 Any,62 Callable,63 Iterable,64 TypeVar,65 TYPE_CHECKING,66)67 68from google.api_core.retry.retry_base import _BaseRetry69from google.api_core.retry.retry_base import _retry_error_helper70from google.api_core.retry.retry_base import exponential_sleep_generator71from google.api_core.retry.retry_base import build_retry_error72from google.api_core.retry.retry_base import RetryFailureReason73 74# for backwards compatibility, expose helpers in this module75from google.api_core.retry.retry_base import if_exception_type # noqa76from google.api_core.retry.retry_base import if_transient_error # noqa77 78if TYPE_CHECKING:79 import sys80 81 if sys.version_info >= (3, 10):82 from typing import ParamSpec83 else:84 from typing_extensions import ParamSpec85 86 _P = ParamSpec("_P") # target function call parameters87 _R = TypeVar("_R") # target function returned value88 89_DEFAULT_INITIAL_DELAY = 1.0 # seconds90_DEFAULT_MAXIMUM_DELAY = 60.0 # seconds91_DEFAULT_DELAY_MULTIPLIER = 2.092_DEFAULT_DEADLINE = 60.0 * 2.0 # seconds93_DEFAULT_TIMEOUT = 60.0 * 2.0 # seconds94 95 96async def retry_target(97 target: Callable[_P, Awaitable[_R]],98 predicate: Callable[[Exception], bool],99 sleep_generator: Iterable[float],100 timeout: float | None = None,101 on_error: Callable[[Exception], None] | None = None,102 exception_factory: Callable[103 [list[Exception], RetryFailureReason, float | None],104 tuple[Exception, Exception | None],105 ] = build_retry_error,106 **kwargs,107):108 """Await a coroutine and retry if it fails.109 110 This is the lowest-level retry helper. Generally, you'll use the111 higher-level retry helper :class:`Retry`.112 113 Args:114 target(Callable[[], Any]): The function to call and retry. This must be a115 nullary function - apply arguments with `functools.partial`.116 predicate (Callable[Exception]): A callable used to determine if an117 exception raised by the target should be considered retryable.118 It should return True to retry or False otherwise.119 sleep_generator (Iterable[float]): An infinite iterator that determines120 how long to sleep between retries.121 timeout (Optional[float]): How long to keep retrying the target, in seconds.122 Note: timeout is only checked before initiating a retry, so the target may123 run past the timeout value as long as it is healthy.124 on_error (Optional[Callable[Exception]]): If given, the on_error125 callback will be called with each retryable exception raised by the126 target. Any error raised by this function will *not* be caught.127 exception_factory: A function that is called when the retryable reaches128 a terminal failure state, used to construct an exception to be raised.129 It takes a list of all exceptions encountered, a retry.RetryFailureReason130 enum indicating the failure cause, and the original timeout value131 as arguments. It should return a tuple of the exception to be raised,132 along with the cause exception if any. The default implementation will raise133 a RetryError on timeout, or the last exception encountered otherwise.134 deadline (float): DEPRECATED use ``timeout`` instead. For backward135 compatibility, if set it will override the ``timeout`` parameter.136 137 Returns:138 Any: the return value of the target function.139 140 Raises:141 ValueError: If the sleep generator stops yielding values.142 Exception: a custom exception specified by the exception_factory if provided.143 If no exception_factory is provided:144 google.api_core.RetryError: If the timeout is exceeded while retrying.145 Exception: If the target raises an error that isn't retryable.146 """147 148 timeout = kwargs.get("deadline", timeout)149 150 deadline = time.monotonic() + timeout if timeout is not None else None151 error_list: list[Exception] = []152 153 for sleep in sleep_generator:154 try:155 return await target()156 # pylint: disable=broad-except157 # This function explicitly must deal with broad exceptions.158 except Exception as exc:159 # defer to shared logic for handling errors160 _retry_error_helper(161 exc,162 deadline,163 sleep,164 error_list,165 predicate,166 on_error,167 exception_factory,168 timeout,169 )170 # if exception not raised, sleep before next attempt171 await asyncio.sleep(sleep)172 173 raise ValueError("Sleep generator stopped yielding sleep values.")174 175 176class AsyncRetry(_BaseRetry):177 """Exponential retry decorator for async coroutines.178 179 This class is a decorator used to add exponential back-off retry behavior180 to an RPC call.181 182 Although the default behavior is to retry transient API errors, a183 different predicate can be provided to retry other exceptions.184 185 Args:186 predicate (Callable[Exception]): A callable that should return ``True``187 if the given exception is retryable.188 initial (float): The minimum amount of time to delay in seconds. This189 must be greater than 0.190 maximum (float): The maximum amount of time to delay in seconds.191 multiplier (float): The multiplier applied to the delay.192 timeout (Optional[float]): How long to keep retrying in seconds.193 Note: timeout is only checked before initiating a retry, so the target may194 run past the timeout value as long as it is healthy.195 on_error (Optional[Callable[Exception]]): A function to call while processing196 a retryable exception. Any error raised by this function will197 *not* be caught.198 deadline (float): DEPRECATED use ``timeout`` instead. If set it will199 override ``timeout`` parameter.200 """201 202 def __call__(203 self,204 func: Callable[..., Awaitable[_R]],205 on_error: Callable[[Exception], Any] | None = None,206 ) -> Callable[_P, Awaitable[_R]]:207 """Wrap a callable with retry behavior.208 209 Args:210 func (Callable): The callable or stream to add retry behavior to.211 on_error (Optional[Callable[Exception]]): If given, the212 on_error callback will be called with each retryable exception213 raised by the wrapped function. Any error raised by this214 function will *not* be caught. If on_error was specified in the215 constructor, this value will be ignored.216 217 Returns:218 Callable: A callable that will invoke ``func`` with retry219 behavior.220 """221 if self._on_error is not None:222 on_error = self._on_error223 224 @functools.wraps(func)225 async def retry_wrapped_func(*args: _P.args, **kwargs: _P.kwargs) -> _R:226 """A wrapper that calls target function with retry."""227 sleep_generator = exponential_sleep_generator(228 self._initial, self._maximum, multiplier=self._multiplier229 )230 return await retry_target(231 functools.partial(func, *args, **kwargs),232 predicate=self._predicate,233 sleep_generator=sleep_generator,234 timeout=self._timeout,235 on_error=on_error,236 )237 238 return retry_wrapped_func239 