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"""Interfaces for tubthumper package"""
import logging
from typing import Callable
from tubthumper import _types as tub_types
from tubthumper._retry_factory import RetryConfig
from tubthumper._retry_factory import retry_factory as _retry_factory
__all__ = ["retry", "retry_decorator", "retry_factory"]
RETRY_LIMIT_DEFAULT = float("inf")
TIME_LIMIT_DEFAULT = float("inf")
INIT_BACKOFF_DEFAULT = 1
EXPONENTIAL_DEFAULT = 2
JITTER_DEFAULT = True
RERAISE_DEFAULT = False
LOG_LEVEL_DEFAULT = logging.WARNING
LOGGER_DEFAULT = logging.getLogger("tubthumper")
def retry( # pylint: disable=too-many-arguments
func: Callable[tub_types.P, tub_types.T],
*,
exceptions: tub_types.Exceptions,
args: tub_types.Args = None,
kwargs: tub_types.Kwargs = None,
retry_limit: tub_types.RetryLimit = RETRY_LIMIT_DEFAULT,
time_limit: tub_types.Duration = TIME_LIMIT_DEFAULT,
init_backoff: tub_types.Duration = INIT_BACKOFF_DEFAULT,
exponential: tub_types.Exponential = EXPONENTIAL_DEFAULT,
jitter: tub_types.Jitter = JITTER_DEFAULT,
reraise: tub_types.Reraise = RERAISE_DEFAULT,
log_level: tub_types.LogLevel = LOG_LEVEL_DEFAULT,
logger: tub_types.Logger = LOGGER_DEFAULT,
) -> tub_types.T:
r"""Call the provided callable with retry logic.
For usage examples, see `here <index.html#usage>`__.
Args:
func:
callable to be called
exceptions:
exceptions to be caught, resulting in a retry
args:
positional arguments for the callable
kwargs:
keyword arguments for the callable
retry_limit:
number of retries to perform before raising an exception,
e.g. ``retry_limit=1`` results in at most two calls
time_limit:
duration in seconds after which a retry attempt will
be prevented by raising an exception, i.e. not a timeout
stopping long running calls, but rather a mechanism to prevent
retry attempts after a certain duration
init_backoff:
duration in seconds to sleep before the first retry
exponential:
backoff duration between retries grows by this factor with each retry
jitter:
whether or not to "jitter" the backoff duration randomly
reraise:
whether or not to re-raise the caught exception instead of
a `RetryError` when a retry or time limit is reached
log_level:
level for logging caught exceptions, defaults to `logging.WARNING`
logger:
logger to log caught exceptions with
Raises:
RetryError:
Raised when a retry or time limit is reached, unless ``reraise=True``
Returns:
the returned object of the callable
"""
if args is None:
args = ()
if kwargs is None:
kwargs = {}
retry_config = RetryConfig(
exceptions=exceptions,
retry_limit=retry_limit,
time_limit=time_limit,
init_backoff=init_backoff,
exponential=exponential,
jitter=jitter,
reraise=reraise,
log_level=log_level,
logger=logger,
)
retry_func = _retry_factory(func, retry_config)
return retry_func(*args, **kwargs)
def retry_decorator( # pylint: disable=too-many-arguments
*,
exceptions: tub_types.Exceptions,
retry_limit: tub_types.RetryLimit = RETRY_LIMIT_DEFAULT,
time_limit: tub_types.Duration = TIME_LIMIT_DEFAULT,
init_backoff: tub_types.Duration = INIT_BACKOFF_DEFAULT,
exponential: tub_types.Exponential = EXPONENTIAL_DEFAULT,
jitter: tub_types.Jitter = JITTER_DEFAULT,
reraise: tub_types.Reraise = RERAISE_DEFAULT,
log_level: tub_types.LogLevel = LOG_LEVEL_DEFAULT,
logger: tub_types.Logger = LOGGER_DEFAULT,
) -> Callable[[Callable[tub_types.P, tub_types.T]], Callable[tub_types.P, tub_types.T]]:
r"""Construct a decorator function for defining a function with built-in retry logic.
For usage examples, see `here <index.html#usage>`__.
Args:
exceptions:
exceptions to be caught, resulting in a retry
retry_limit:
number of retries to perform before raising an exception,
e.g. ``retry_limit=1`` results in at most two calls
time_limit:
duration in seconds after which a retry attempt will
be prevented by raising an exception, i.e. not a timeout
stopping long running calls, but rather a mechanism to prevent
retry attempts after a certain duration
init_backoff:
duration in seconds to sleep before the first retry
exponential:
backoff duration between retries grows by this factor with each retry
jitter:
whether or not to "jitter" the backoff duration randomly
reraise:
whether or not to re-raise the caught exception instead of
a `RetryError` when a retry or time limit is reached
log_level:
level for logging caught exceptions, defaults to `logging.WARNING`
logger:
logger to log caught exceptions with
Raises:
RetryError:
Raised when a retry or time limit is reached, unless ``reraise=True``
Returns:
a decorator function that, when used as such,
returns a function that looks like the callable it
decorates, but with configured retry logic
"""
def decorator(
func: Callable[tub_types.P, tub_types.T]
) -> Callable[tub_types.P, tub_types.T]:
retry_config = RetryConfig(
exceptions=exceptions,
retry_limit=retry_limit,
time_limit=time_limit,
init_backoff=init_backoff,
exponential=exponential,
jitter=jitter,
reraise=reraise,
log_level=log_level,
logger=logger,
)
return _retry_factory(func, retry_config)
return decorator
def retry_factory( # pylint: disable=too-many-arguments
func: Callable[tub_types.P, tub_types.T],
*,
exceptions: tub_types.Exceptions,
retry_limit: tub_types.RetryLimit = RETRY_LIMIT_DEFAULT,
time_limit: tub_types.Duration = TIME_LIMIT_DEFAULT,
init_backoff: tub_types.Duration = INIT_BACKOFF_DEFAULT,
exponential: tub_types.Exponential = EXPONENTIAL_DEFAULT,
jitter: tub_types.Jitter = JITTER_DEFAULT,
reraise: tub_types.Reraise = RERAISE_DEFAULT,
log_level: tub_types.LogLevel = LOG_LEVEL_DEFAULT,
logger: tub_types.Logger = LOGGER_DEFAULT,
) -> Callable[tub_types.P, tub_types.T]:
r"""Construct a function with built-in retry logic given a callable to retry.
For usage examples, see `here <index.html#usage>`__.
Args:
func:
callable to be called
exceptions:
exceptions to be caught, resulting in a retry
retry_limit:
number of retries to perform before raising an exception,
e.g. ``retry_limit=1`` results in at most two calls
time_limit:
duration in seconds after which a retry attempt will
be prevented by raising an exception, i.e. not a timeout
stopping long running calls, but rather a mechanism to prevent
retry attempts after a certain duration
init_backoff:
duration in seconds to sleep before the first retry
exponential:
backoff duration between retries grows by this factor with each retry
jitter:
whether or not to "jitter" the backoff duration randomly
reraise:
whether or not to re-raise the caught exception instead of
a `RetryError` when a retry or time limit is reached
log_level:
level for logging caught exceptions, defaults to `logging.WARNING`
logger:
logger to log caught exceptions with
Raises:
RetryError:
Raised when a retry or time limit is reached, unless ``reraise=True``
Returns:
a function that looks like the callable provided,
but with configured retry logic
"""
retry_config = RetryConfig(
exceptions=exceptions,
retry_limit=retry_limit,
time_limit=time_limit,
init_backoff=init_backoff,
exponential=exponential,
jitter=jitter,
reraise=reraise,
log_level=log_level,
logger=logger,
)
return _retry_factory(func, retry_config)
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