Simple, modern and high performance file watching and code reload in python.
Project description
watchfiles
Simple, modern and high performance file watching and code reload in python.
NOTICE
This package was significantly altered and renamed from watchgod
to watchfiles
, this files refers to the
watchfiles
package.
Documentation for the old version (watchgod
) is available here.
See issue #102 for details on the migration and its rationale.
Underlying file system notifications are handled by the Notify rust library.
Installation
watchfiles requires Python 3.7 - 3.10.
pip install watchfiles
Binaries are available for:
- Linux:
manylinux-x86_64
,musllinux-x86_64
&manylinux-i686
- MacOS:
x86_64
&arm64
(except python 3.7) - Windows:
amd64
&win32
Otherwise, you can install from source which requires Rust stable to be installed.
Usage
To watch for changes in a directory:
from watchfiles import watch
for changes in watch('./path/to/dir'):
print(changes)
watch
(and all other methods described below) can take multiple paths as arguments to watch.
To run a function and restart it when code changes:
from watchfiles import run_process
def foobar(a, b, c):
...
if __name__ == '__main__':
run_process('./path/to/dir', target=foobar, args=(1, 2, 3))
run_process
uses PythonFilter
by default so only changes to python files will prompt a reload,
see custom event filtering below.
If you need notifications about change events as well as to restart a process you can
use the callback
argument to pass a function which will be called on every file change
with one argument: the set of file changes.
File changes are also available via the WATCHFILES_CHANGES
environment variable which contains JSON encoded
details of changes, see the CLI example below.
Asynchronous Methods
watchfiles comes with an asynchronous equivalents of watch
: awatch
.
import asyncio
from watchfiles import awatch
async def main():
async for changes in awatch('/path/to/dir'):
print(changes)
asyncio.run(main())
There's also an asynchronous equivalents of run_process
: arun_process
which in turn
uses awatch
:
import asyncio
from watchfiles import arun_process
def foobar(a, b, c):
...
async def main():
await arun_process('./path/to/dir', target=foobar, args=(1, 2, 3))
if __name__ == '__main__':
asyncio.run(main())
The signature of arun_process
is almost identical to run_process
except that
the optional callback
argument may be a coroutine.
Custom Filters
The watch_filter
argument to the above methods allows you to specify which file system events watchfiles should
react to (either yield or reload code). watch_filter
should just be a callable which takes a change
(either "added", "modified" or "deleted") and a path (as a string) and should return whether or not that change
should be registered.
watchfiles comes with the following classes, instances of which can be with watch_filter
:
DefaultFilter
The watcher used by default bywatch
andawatch
, commonly ignored files like*.swp
,*.pyc
and*~
are ignored along with directories like.git
.PythonFilter
Specific to python files, only*.py
,*.pyx
and*.pyd
files are watched.BaseFilter
, used byDefaultFilter
andPythonFilter
, useful for defining your own filters which leverage the same logic
Here's an example of a custom filter which extends DefaultFilter
to only notice changes to common web files:
from watchfiles import Change, DefaultFilter, watch
class WebFilter(DefaultFilter):
allowed_extensions = '.html', '.css', '.js'
def __call__(self, change: Change, path: str) -> bool:
return super().__call__(change, path) and path.endswith(self.allowed_extensions)
for changes in watch('my/web/project', watch_filter=WebFilter()):
print (changes)
Here's an example of a customer filter which is a simple callable that ignores changes unless they represent a new file being created:
from watchfiles import Change, watch
def only_added(change: Change, path: str) -> bool:
return change == Change.added
for changes in watch('my/project', watch_filter=only_added):
print (changes)
For more details, checkout
filters.py
,
it's pretty simple.
CLI
watchfiles also comes with a CLI for running and reloading python code.
Let's say you have foobar.py
(this is a very simple web server using
aiohttp) which gets details about recent file changes from the
WATCHFILES_CHANGES
environment variable and returns them as JSON.
import os, json
from aiohttp import web
async def handle(request):
# get the most recent file changes and return them
changes = os.getenv('WATCHFILES_CHANGES', '[]')
changes = json.loads(changes)
return web.json_response(dict(changes=changes))
app = web.Application()
app.router.add_get('/', handle)
def main():
web.run_app(app, port=8000)
You could run this and reload it when any file in the current directory changes with:
watchfiles foobar.main
Run watchfiles --help
for more options.
The CLI can also be used via python -m watchfiles ...
.
Project details
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