aioloop-proxy 0.0.1

Installation

pip install aioloop-proxy

Usage

import asyncio
import aioloop_proxy

loop = asyncio.new_event_loop()
server_addr = loop.run_until_complete(setup_and_run_test_server())
...

with aioloop_proxy(loop, strict=True) as loop_proxy:
   loop_proxy.run_until_complete(test_func(server_addr))

Sure, each test system (unittest, pytest, name it) should not run the code snippet above as-is but incorporate it as a dedicates test-case class or plugin.

Extra loop methods

LoopProxy implements all asyncio.AbstractEventLoop public methods. Additionally, it provides two proxy-specific ones: loop.check_and_shutdown() and loop.advance_time().

await proxy.check_and_shutdown(kind=CheckKind.ALL) can be used for checking if the proxy finished without active tasks, open transports etc.

kind is a enum.Flag described as the following:

class CheckKind(enum.Flag):
    TASKS = enum.auto()
    SIGNALS = enum.auto()
    SERVERS = enum.auto()
    TRANSPORTS = enum.auto()
    READERS = enum.auto()
    WRITERS = enum.auto()
    HANDLES = enum.auto()

    ALL = TASKS | SIGNALS | SERVERS | TRANSPORTS | READERS | WRITERS

All checks are performed by default. A specific test can omit some check if it raises a false positive warning.

N.B. Dangling resources are always closed even if corresponding kind is omitted. A proxy loop should cleanup all acquired resources at the test finish for the sake of tests isolation principle.

proxy.advance_time(offset) is a perk that helps with writing tests for scenarios that uses timeouts, delays, etc.

Let’s assume, we have a code that should read data from peer or raise TimeoutError after 15 minute timeout. It can be done by shifting the proxy local time (proxy.time() returned value) to 15 minutes forward artificially:

task = asyncio.create_task(fetch_or_timeout())
loop.advance_time(15 * 60)
try:
    await task
except TimeoutError:
    ...

In the example above, await task is resumed immediatelly because the test wall-clock is shifted by 15 minutes two lines above, and all timers created by the proxy are adjusted accordingly.

The parent loop wall-clock is not touched.

The method complexity is O(N) where N is amount of active timers created by proxy.call_later() or proxy.call_at() methods.