sag_py_execution_time_decorator

A decorator for methods to log the execution time (sync and async)

What it does

• Logs the execution time in milliseconds

Sample log entry:

decorated_sync_method took 1000 ms.

The entry contains "function_name" and "execution_time" as extra data.

Installation

pip install sag-py-execution-time-decorator

How to use

Decorate your methods like that:

from sag_py_execution_time_decorator.execution_time_decorator import log_execution_time

@log_execution_time()
def decorated_sync_method(param: str) -> str:
    time.sleep(SLEEP_TIME_MS / 1000)
    return f"test: {param}"


@log_execution_time(log_level=logging.ERROR, log_params=("param",))
async def decorated_async_method(param: str) -> str:
    await asyncio.sleep(SLEEP_TIME_MS / 1000)
    return f"test: {param}"

Optional arguments:

How to start developing

With vscode

Just install vscode with dev containers extension. All required extensions and configurations are prepared automatically.

With pycharm

• Install latest pycharm
• Install pycharm plugin Mypy
• Configure the python interpreter/venv
• pip install requirements-dev.txt
• Restart pycharm

How to publish

• Update the version in setup.py and commit your change
• Create a tag with the same version number
• Let github do the rest

How to test

To avoid publishing to pypi unnecessarily you can do as follows

• Tag your branch however you like
• Use the chosen tag in the requirements.txt-file of the project you want to test this library in, eg. sag_py_execution_time_decorator==<your tag>
• Rebuild/redeploy your project