| Name | pytest-line-profiler-apn JSON |
| Version |
0.1.5
JSON |
| download |
| home_page | |
| Summary | Profile code executed by pytest |
| upload_time | 2022-12-05 19:11:42 |
| maintainer | Alexander Puck Neuwirth |
| docs_url | None |
| author | Martín Gaitán |
| requires_python | >=3.8,<4.0 |
| license | |
| keywords |
|
| VCS |
|
| bugtrack_url |
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| requirements |
No requirements were recorded.
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| coveralls test coverage |
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# pytest-line-profiler-apn
[![PyPI version][]][1] [![Python versions][]][1]
line-by-line profiling for code executed by pytest, using [line-profiler](https://github.com/pyutils/line_profiler).
## Why?
Line profiler is a wonderful tool to easily identify bottlenecks inside specific functions of your code, and quantify the improvements after a refactor.
Using it is straightforward but required to instrument the functions you want to profile with a "virtual" `@profile` decorator
and then execute "a trigger script" (code that calls the decorated functions somehow) via `kernprof.py` which works as a python wrapper that understands the decorator, register the functions to be profiled, and print the stats when the script finishes.
Altought it does its job, is a bit invasive: you need to have an special "instrumented" version of your code,
and execute it in a way that potentially clashes with the way you do normally (for instance, through a shortcut command from your editor, a test runner, another script, etc.)
Moreover, frequently in real case scenarios, "a trigger script" isn't just a simple function call.
You need to prepare input data, connect to external resources, etc. And that's exactly what a test can do, right?
## Installation
You can install "pytest-line-profiler" via [pip][] from [PyPI][]:
```
$ pip install pytest-line-profiler
```
## Usage
Mark your test passing the functions you wants to profile as positional arguments,
like `@pytest.mark.line_profile.with_args(function1, function2, [...])`
If your test exercises any of those functions, you'll get the profile result as a report.
For example:
```python
import pytest
def f(i):
return i * 10
def g(n=10):
return sum(f(i) for i in range(10))
@pytest.mark.line_profile.with_args(f, g)
def test_as_mark():
assert g() == 450
```
After that test is executed, you'll get the stats from the line profiler instance.
```
============ Line Profile result for tests/test_line_profiler.py::test_as_mark ============
Timer unit: 1e-06 s
Total time: 4e-06 s
File: /home/tin/lab/pytest-line-profiler/tests/test_line_profiler.py
Function: f at line 4
Line # Hits Time Per Hit % Time Line Contents
==============================================================
4 def f(i):
5 10 4.0 0.4 100.0 return i * 10
Total time: 3e-05 s
File: /home/tin/lab/pytest-line-profiler/tests/test_line_profiler.py
Function: g at line 7
Line # Hits Time Per Hit % Time Line Contents
==============================================================
7 def g(n=10):
8 1 30.0 30.0 100.0 return sum(f(i) for i in range(10))
```
Alternatively, you can run any test passing the function/s to profile from the command line
```
$ pytest --line-profile path.to.function_to_be profiled [...]
```
## Contributing
Contributions are very welcome. Tests can be run with [pytest][], please
ensure the coverage at least stays the same before you submit a pull
request.
## License
Distributed under the terms of the [MIT][] license,
"pytest-line-profiler" is free and open source software
## Issues
If you encounter any problems, please [file an issue][] along with a
detailed description.
[PyPI version]: https://img.shields.io/pypi/v/pytest-line-profiler-apn.svg
[1]: https://pypi.org/project/pytest-line-profiler-apn
[Python versions]: https://img.shields.io/pypi/pyversions/pytest-line-profiler-apn.svg
[pip]: https://pypi.org/project/pip/
[PyPI]: https://pypi.org/project
[pytest]: https://github.com/pytest-dev/pytest
[MIT]: http://opensource.org/licenses/MIT
[file an issue]: https://github.com/APN-Pucky/pytest-line-profiler-apn/issues
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