wait-for 2.0

A waiting based utility with decorator and logger support

A waiting-based utility with decorator and logger support for Python.

Designed to wait for a certain length of time for an action to complete, either linearly in 1-second steps, or exponentially, up to a maximum. Returns the output from the function once it completes successfully, along with the time taken to complete the command.

Installation

pip install wait_for

Quick Start

import time
from wait_for import wait_for

class Incrementor:
    value = 0

    def i_sleep_a_lot(self):
        time.sleep(.1)
        self.value += 1
        return self.value

incman = Incrementor()
result, elapsed = wait_for(incman.i_sleep_a_lot,
                           fail_condition=0,
                           delay=0.05)
print(f"Function returned {result} in {elapsed:.2f}s")

API Reference

wait_for

wait_for(func, func_args=[], func_kwargs={}, logger=None, **kwargs)

Waits for func to return a value that does not match the fail_condition, retrying on a configurable interval. Uses time.monotonic for accurate elapsed time measurement.

Positional / keyword arguments:

func (callable) – Required. The function to call on each attempt.

func_args (list) – Positional arguments forwarded to func. Default: [].

func_kwargs (dict) – Keyword arguments forwarded to func. Default: {}.

logger (logging.Logger) – Logger instance for wait_for’s own messages. Default: a hidden logger (wait_for.default) that discards output.

Keyword-only arguments (passed via **kwargs ):

timeout (int | float | timedelta) – Maximum time to wait before timing out. Accepts an int/float (seconds) or a datetime.timedelta object. Default: 120 seconds when not provided.

delay (int | float) – Seconds to sleep between attempts. Default: 1.

expo (bool) – When truthy, the delay is doubled after each failed attempt (exponential backoff). Default: False.

Note

When using expo, the reported elapsed time may be slightly inaccurate because wait_for only knows when the last check succeeded, not the exact moment the function started returning a passing value.

message (str | None) – A human-readable description of what is being waited on, used in log messages and timeout error text. Default: auto-generated from func’s name, partial arguments, or lambda source code.

fail_condition (callable | Any | set) – Defines what counts as a failed attempt.

• Value – If func() returns this value, the attempt is considered failed and wait_for retries. Default: False.

• Callable – A function that receives the result and returns True if the attempt should be considered failed.

• Set – The attempt fails if the result is a member of the set.

handle_exception (Type[Exception] | Iterable[Type[Exception]] | bool) – Controls exception handling during func() invocation.

• False (default) – Exceptions propagate immediately.

• True – Any exception is caught and treated as a failed attempt.

• Exception type or iterable of types – Only the listed exception types are caught; all others propagate. If the wait times out while handling exceptions, TimedOutError is raised from the last caught exception (chained via __cause__).

raise_original (bool) – When True and the wait times out while handle_exception is active, re-raises the last original exception instead of TimedOutError. Default: False.

fail_func (callable | None) – A callback invoked after every failed attempt, including when the timeout budget is already exhausted and no sleep occurs. Useful for cleanup or logging side-effects. Default: None.

quiet (bool) – Suppress the "Took X to do Y" debug log emitted on a successful return. Default: False. Note: the secondary "Finished ..." debug message emitted on success is only suppressed by very_quiet, not by quiet alone.

very_quiet (bool) – Suppress the "Started ..." debug log at entry and both "Finished ..." debug logs (on success and on timeout expiry). Implies quiet. Default: False. Note: logger.info messages produced by log_on_loop and by exception handling are not suppressed by very_quiet.

silent_failure (bool) – When True, a timeout does not raise TimedOutError. Instead, a WaitForResult is returned with the last func() output and the elapsed time at timeout. Default: False.

log_on_loop (bool) – Emit a logger.info message at each iteration of the wait loop, indicating the attempt number. Default: False. This message is emitted regardless of the quiet or very_quiet flags.

Returns:

A WaitForResult named tuple (see below).

Raises:

TimedOutError – If the timeout is exceeded without a successful result and silent_failure is not set.

WaitForResult

A typing.NamedTuple subclass returned by wait_for and wait_for_decorator.

from typing import Any, NamedTuple

class WaitForResult(NamedTuple):
    out: Any
    duration: float

out (Any) – The return value from the waited-on function.

duration (float) – Wall-clock seconds elapsed from the start of waiting until func() succeeded, or until the timeout was reached when silent_failure=True.

wait_for_decorator

A decorator wrapper around wait_for for cleaner syntax in tests and scripts. All keyword arguments accepted by wait_for can be passed to the decorator.

With parameters:

from wait_for import wait_for_decorator

@wait_for_decorator(timeout=120, fail_condition=0, delay=0.05)
def my_waiting_func():
    return do_something()

# my_waiting_func is now a WaitForResult
print(my_waiting_func.out, my_waiting_func.duration)

Without parameters (uses wait_for defaults):

@wait_for_decorator
def my_waiting_func():
    return do_something()

TimedOutError

Exception raised when wait_for exceeds its timeout without a successful result. Subclasses Exception.

When handle_exception is active and exceptions were caught during waiting, the TimedOutError is chained from the last caught exception (accessible via __cause__).

RefreshTimer

A simple thread-based timer for periodic refresh checks.

from wait_for import RefreshTimer

RefreshTimer(time_for_refresh=300, callback=None, *args, **kwargs)

time_for_refresh (int | float) – Seconds before the timer fires. Default: 300.

callback (callable | None) – Function to call when the timer fires. If None, defaults to an internal method that sets a boolean flag.

*args, **kwargs – Forwarded to the callback.

Methods:

• start() – Cancel any previously scheduled timer and start a new background daemon thread. Safe to call multiple times; only one pending timer will be active at a time.

• reset() – Reset the fired flag and call start() to schedule a fresh timer.

• is_it_time() – Returns True if the timer has fired since the last reset.

Example:

timer = RefreshTimer(time_for_refresh=60)
# ... later ...
if timer.is_it_time():
    refresh_data()
    timer.reset()

Examples

Basic wait with fail_condition

Wait until a function returns something other than 0:

import time
from wait_for import wait_for

class Incrementor:
    value = 0

    def i_sleep_a_lot(self):
        time.sleep(.1)
        self.value += 1
        return self.value

incman = Incrementor()
result, elapsed = wait_for(incman.i_sleep_a_lot,
                           fail_condition=0,
                           delay=0.05)

Using a lambda with func_args

Pass arguments to a lambda and wait until the condition is met:

incman = Incrementor()
result, elapsed = wait_for(
    lambda self: self.i_sleep_a_lot() > 10,
    [incman],
    delay=0.05
)

Timeout with timedelta

Use a datetime.timedelta for the timeout value:

from datetime import timedelta

func = lambda: incman.i_sleep_a_lot() > 10
result, elapsed = wait_for(func, timeout=timedelta(minutes=5), delay=1)

Exponential backoff

Double the delay after each failed attempt:

result, elapsed = wait_for(
    my_flaky_function,
    delay=1,
    expo=True,
    timeout=120
)

Exception handling

Catch exceptions during waiting and convert them to retries:

from wait_for import wait_for, TimedOutError

# Catch all exceptions
result, elapsed = wait_for(
    might_raise,
    handle_exception=True,
    timeout=30
)

# Catch only specific exception types
result, elapsed = wait_for(
    might_raise,
    handle_exception=(ConnectionError, TimeoutError),
    timeout=30
)

# Re-raise the original exception instead of TimedOutError
try:
    wait_for(might_raise, handle_exception=True,
             timeout=5, raise_original=True)
except ConnectionError:
    print("Original exception re-raised")

Callable fail_condition

Use a function to define complex failure logic:

incman = Incrementor()
result, elapsed = wait_for(
    incman.i_sleep_a_lot,
    fail_condition=lambda value: value <= 10,
    timeout=30,
    delay=0.1
)

Silent failure

Return the last result instead of raising on timeout:

result, elapsed = wait_for(
    lambda: some_check(),
    timeout=5,
    silent_failure=True
)
# result contains the last return value; elapsed == timeout

Decorator usage

from wait_for import wait_for_decorator

@wait_for_decorator(fail_condition=0, delay=0.05)
def wait_until_incremented():
    return incman.i_sleep_a_lot()

print(f"Got {wait_until_incremented.out} in "
      f"{wait_until_incremented.duration:.2f}s")

License

Apache License 2.0. See LICENSE for details.