With mainpy, there's no need to write if __name__ == '__main__' the
boilerplate anymore:
without mainpy |
with mainpy |
|---|---|
if __name__ == '__main__':
app()
def app(): ... |
from mainpy import main
@main
def app(): ... |
For async apps, the improvement becomes even more obvious:
without mainpy |
with mainpy |
|---|---|
import asyncio
async def async_app(): ...
if __name__ == '__main__':
with asyncio.Runner() as runner:
runner.run(async_app()) |
from mainpy import main
@main
async def async_app(): ... |
Even though mainpy requires no other dependencies than typing_extensions
(on Python < 3.10), it has optional support for uvloop, and plays
nicely with popular CLI libraries, e.g. click and typer.
If you have uvloop installed, mainpy will automatically call
uvloop.install() before running your async main function.
This can be disabled by setting use_uvloop=False, e.g.:
@main(use_uvloop=False)
async def app(): ...With click you can simply add the decorator as usual.
Important
The @mainpy.main decorator must come before @click.command().
import mainpy
import click
@mainpy.main
@click.command()
def click_command():
click.echo('Hello from click_command')The function that is decorated with @mainpy.main is executed immediately.
But a @click.group must be defined before the command function.
In this case, mainpy.main should be called after all has been setup:
import mainpy
import click
@click.group()
def group(): ...
@group.command()
def command(): ...
mainpy.main(group)A typer internally does some initialization after a command
has been defined.
Instead of using @mainpy.main on the command itself, you should use
mainpy.main() manually:
import mainpy
import typer
app = typer.Typer()
@app.command()
def command():
typer.echo('typer.Typer()')
mainpy.main(command)Optionally, Python's development mode can be emulated by passing
debug=True to mainpy.main. This does three things:
- Enable the faulthandler
- Configure
warningsto display all warnings - Runs
asyncfunctions in debug mode
@main(debug=True)
def app(): ...The mainpy package is available on pypi for Python
pip install mainpyAdditionally, you can install the uvloop extra which will install
uvloop>=0.15.2 (unless you're on windows):
pip install mainpy[uvloop]