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توضیحات

Python wrapper for Austin, the CPython frame stack sampler.

ویژگی	مقدار
سیستم عامل	-
نام فایل	austin-python-1.5.0
نام	austin-python
نسخه کتابخانه	1.5.0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	-
ایمیل نویسنده	"Gabriele N. Tornetta" <phoenix1987@gmail.com>
آدرس صفحه اصلی	-
آدرس اینترنتی	https://pypi.org/project/austin-python/
مجوز	-

<img src="docs/source/images/logo.png" alt="Austin" height="256px" /> <h3 align="center">Python wrapper for Austin</h3> <a href="https://github.com/P403n1x87/austin-python/actions?workflow=Tests"> <img src="https://github.com/P403n1x87/austin-python/workflows/Tests/badge.svg" alt="GitHub Actions: Tests"> </a> <a href="https://github.com/P403n1x87/austin-python/actions?workflow=Checks"> <img src="https://github.com/P403n1x87/austin-python/workflows/Checks/badge.svg" alt="GitHub Actions: Checks"> </a> <a href="https://codecov.io/gh/P403n1x87/austin-python"> <img src="https://codecov.io/gh/P403n1x87/austin-python/branch/main/graph/badge.svg" alt="Codecov"> </a> <a href="https://austin-python.readthedocs.io/"> <img src="https://readthedocs.org/projects/austin-python/badge/" alt="Documentation"> </a> <a href="https://pypi.org/project/austin-python/"> <img src="https://img.shields.io/pypi/v/austin-python.svg" alt="PyPI"> </a> <a href="https://pepy.tech/project/austin-python"> <img src="https://static.pepy.tech/personalized-badge/austin-python?period=total&units=international_system&left_color=grey&right_color=blue&left_text=downloads" alt="Downloads" /> <a/> <a href="https://github.com/P403n1x87/austin-python/blob/main/LICENSE.md"> <img src="https://img.shields.io/badge/license-GPLv3-ff69b4.svg" alt="LICENSE"> </a> <a href="#synopsis">Synopsis</a> • <a href="#installation">Installation</a> • <a href="#usage">Usage</a> • <a href="#compatibility">Compatibility</a> • <a href="#documentation">Documentation</a> • <a href="#contribute">Contribute</a> <a href="https://www.buymeacoffee.com/Q9C1Hnm28" target="_blank"> <img src="https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png" alt="Buy Me A Coffee" /> </a> # Synopsis The `austin-python` package is a Python wrapper around the [Austin] binary that provides convenience classes to quickly develop your statistical profiling tools. Whether your code is thread-based or asynchronous, `austin-python` has you covered. This is, for instance, how you would turn Austin into a Python application: ~~~ python from austin.aio import AsyncAustin # Make your sub-class of AsyncAustin class EchoAsyncAustin(AsyncAustin): def on_ready(self, process, child_process, command_line): print(f"Austin PID: {process.pid}") print(f"Python PID: {child_process.pid}") print(f"Command Line: {command_line}") def on_sample_received(self, line): print(line) def on_terminate(self, data): print(data) # Use the Proactor event loop on Windows if sys.platform == "win32": asyncio.set_event_loop(asyncio.ProactorEventLoop()) try: # Start the Austin application with some command line arguments austin = EchoAsyncAustin() asyncio.get_event_loop().run_until_complete( austin.start(["-i", "10000", "python3", "myscript.py"]) ) except (KeyboardInterrupt, asyncio.CancelledError): pass ~~~ The `austin-python` package is at the heart of the [Austin TUI](https://github.com/P403n1x87/austin-tui) and the [Austin Web](https://github.com/P403n1x87/austin-web) Python applications. Go check them out if you are looking for full-fledged usage examples. Included with the package come two applications for the conversion of Austin collected output, which is in the form of [collapsed stacks](https://github.com/brendangregg/FlameGraph), to either the [Speedscope](https://speedscope.app/) JSON format or the [Google pprof format](https://github.com/google/pprof). Note, however, that the Speedscope web application supports Austin native format directly. # Installation This package can be installed from PyPI with ~~~ bash pip install --user austin-python --upgrade ~~~ Please note that `austin-python` requires the [Austin] binary. The default lookup locations are, in order, - current working directory; - the `AUSTINPATH` environment variable which gives the path to the folder that contains the Austin binary; - the `.austinrc` TOML configuration file in the user's home folder, e.g. `~/.austinrc` on Linux (see below for a sample `.austinrc` file); - the `PATH` environment variable. A sample `.austinrc` file would look like so ~~~ toml binary = "/path/to/austin" ~~~ # Usage A simple example of an echo application was shown above. Other examples using, e.g., threads, can be found in the official documentation. You can also browse through the code of the [Austin TUI](https://github.com/P403n1x87/austin-tui) and the [Austin Web](https://github.com/P403n1x87/austin-web) Python applications to see how they leverage `austin-python`. ## Format conversion As it was mentioned before, this package also comes with two scripts for format conversion, namely `austin2speedscope` and `austin2pprof`. They both take two mandatory arguments, that is, the input and output file. For example, to convert the Austin profile data file `myscript.aprof` to the Google pprof data file `myscript.pprof`, you can run ~~~ bash austin2pprof myscript.aprof myscript.pprof ~~~ The package also provide the `austin-compress` utility to compress the Austin raw samples by aggregation. # Compatibility The `austin-python` package is tested on Linux, macOS and Windows with Python 3.7-3.11. # Documentation The official documentation is hosted on readthedocs.io at [austin-python.readthedocs.io](https://austin-python.readthedocs.io/). # Contribute If you want to help with the development, then have a look at the open issues and have a look at the [contributing guidelines](CONTRIBUTING.md) before you open a pull request. You can also contribute to the development by either [becoming a Patron](https://www.patreon.com/bePatron?u=19221563) on Patreon, by [buying me a coffee](https://www.buymeacoffee.com/Q9C1Hnm28) on BMC or by chipping in a few pennies on [PayPal.Me](https://www.paypal.me/gtornetta/1). <a href="https://www.buymeacoffee.com/Q9C1Hnm28" target="_blank"> <img src="https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png" alt="Buy Me A Coffee" /> </a> [Austin]: https://github.com/p403n1x87/austin

نیازمندی

مقدار	نام
-	protobuf~=3.12.2
-	psutil>=5.7.0
-	toml~=0.10.2

زبان مورد نیاز

مقدار	نام
>=3.7	Python

نحوه نصب

نصب پکیج whl austin-python-1.5.0:

pip install austin-python-1.5.0.whl

نصب پکیج tar.gz austin-python-1.5.0:

pip install austin-python-1.5.0.tar.gz