https://github.com/koaning/pytest-duration-insights

A mini dashboard to help find slow tests in pytest.
https://github.com/koaning/pytest-duration-insights

Last synced: about 4 hours ago
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A mini dashboard to help find slow tests in pytest.

• Host: GitHub
• URL: https://github.com/koaning/pytest-duration-insights
• Owner: koaning
• Created: 2021-02-27T18:08:21.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2024-07-15T09:56:52.000Z (5 months ago)
• Last Synced: 2024-12-09T17:57:09.419Z (5 days ago)
• Language: Python
• Homepage: https://koaning.github.io/pytest-duration-insights/
• Size: 2.91 MB
• Stars: 78
• Watchers: 2
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: readme.md

Awesome Lists containing this project

• awesome-pytest - pytest-duration-insights - Gives an interactive dashboard to show where the slow tests are. (Plugins)

README

        


### Pytest Duration Insights 

This python package offers a small dashboard that helps you investigate

long running pytest runs. It's built on top of the report that is generated 

by [pytest-reportlog](https://github.com/pytest-dev/pytest-reportlog). 

## Preview 

We're hosting a demo on GitHub pages. You can view it 

[here](https://koaning.github.io/pytest-duration-insights/). There's also an educational

video announcement on [calmcode.io](https://calmcode.io) found [here](https://calmcode.io/labs/pytest-duration-insights.html).

![](gif.gif)

## Instructions. 

### 1. Install.

```

pip install pytest-reportlog pytest-duration-insights

```

### 2. Make a report. 

```

pytest --report-log reportlog.jsonl

```

### 3. Explore!

```

pytest-duration-insights explore reportlog.jsonl

```

This will start up a service that tries to help you find areas in your

testing code base that are worth investigating.

#### Parametrized Tests 

This tool automatically hides the parametrized test results. But if these 

are very important to you then you can turn them on via the `--no-trim` flag.

```

pytest-duration-insights explore --no-trim reportlog.jsonl

```

Be aware that you might get very dense visuals when you do this.

![](https://user-images.githubusercontent.com/98330/147872375-cb3e1bc9-2c3e-4b8f-9abc-0ec236e55f96.png)

## Roadmap 

We're only scratching the surface of what data we can visualise to help 

you speed up your `pytest` runs. Feedback is appreciated, 

especially if somebody has a keen insight that has helped in the past.

That said, this project is very much an experiment as well. See it as a tool you could

try rather than a best practice.