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393999598 MDEwOlJlcG9zaXRvcnkzOTM5OTk1OTg= datasette-pyinstrument simonw/datasette-pyinstrument 0 9599 https://github.com/simonw/datasette-pyinstrument Use pyinstrument to analyze Datasette page performance 0 2021-08-08T15:33:29Z 2021-08-08T15:50:54Z 2021-08-08T15:50:52Z   0 0 0 Python 1 1 1 1 0 0 0 0 0   [] 0 0 0 main {"admin": false, "push": false, "pull": false}     0 1 # datasette-pyinstrument [![PyPI](https://img.shields.io/pypi/v/datasette-pyinstrument.svg)](https://pypi.org/project/datasette-pyinstrument/) [![Changelog](https://img.shields.io/github/v/release/simonw/datasette-pyinstrument?include_prereleases&label=changelog)](https://github.com/simonw/datasette-pyinstrument/releases) [![Tests](https://github.com/simonw/datasette-pyinstrument/workflows/Test/badge.svg)](https://github.com/simonw/datasette-pyinstrument/actions?query=workflow%3ATest) [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/datasette-pyinstrument/blob/main/LICENSE) Use pyinstrument to analyze Datasette page performance ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-pyinstrument ## Usage Once installed, adding `?_pyinstrument=1` to any URL within Datasette will replace the output of that page with the pyinstrument profiler results for it. ## Demo You can see the output of this plugin at https://latest-with-plugins.datasette.io/fixtures/sortable?_pyinstrument=1 ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-pyinstrument python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and test dependencies: pip install -e '.[test]' To run the tests: pytest <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-pyinstrument" class="anchor" aria-hidden="true" href="#user-content-datasette-pyinstrument"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-pyinstrument</h1> <p><a href="https://pypi.org/project/datasette-pyinstrument/" rel="nofollow"><img src="https://camo.githubusercontent.com/04eb20d5c908480064bd38f51a23efb993e1ab6cd8731310a7fd8762fbf0e589/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d7079696e737472756d656e742e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-pyinstrument.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-pyinstrument/releases"><img src="https://camo.githubusercontent.com/82a450100507a691eb342ecf1a1e328c5078b2d42918187061fe0f1255431fd7/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d7079696e737472756d656e743f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-pyinstrument?include_prereleases&amp;label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-pyinstrument/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-pyinstrument/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-pyinstrument/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width:100%;"></a></p> <p>Use pyinstrument to analyze Datasette page performance</p> <h2><a id="user-content-installation" class="anchor" aria-hidden="true" href="#user-content-installation"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>Installation</h2> <p>Install this plugin in the same environment as Datasette.</p> <div class="snippet-clipboard-content position-relative" data-snippet-clipboard-copy-content="$ datasette install datasette-pyinstrument "><pre><code>$ datasette install datasette-pyinstrument </code></pre></div> <h2><a id="user-content-usage" class="anchor" aria-hidden="true" href="#user-content-usage"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>Usage</h2> <p>Once installed, adding <code>?_pyinstrument=1</code> to any URL within Datasette will replace the output of that page with the pyinstrument profiler results for it.</p> <h2><a id="user-content-demo" class="anchor" aria-hidden="true" href="#user-content-demo"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>Demo</h2> <p>You can see the output of this plugin at <a href="https://latest-with-plugins.datasette.io/fixtures/sortable?_pyinstrument=1" rel="nofollow">https://latest-with-plugins.datasette.io/fixtures/sortable?_pyinstrument=1</a></p> <h2><a id="user-content-development" class="anchor" aria-hidden="true" href="#user-content-development"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>Development</h2> <p>To set up this plugin locally, first checkout the code. Then create a new virtual environment:</p> <div class="snippet-clipboard-content position-relative" data-snippet-clipboard-copy-content="cd datasette-pyinstrument python3 -mvenv venv source venv/bin/activate "><pre><code>cd datasette-pyinstrument python3 -mvenv venv source venv/bin/activate </code></pre></div> <p>Or if you are using <code>pipenv</code>:</p> <div class="snippet-clipboard-content position-relative" data-snippet-clipboard-copy-content="pipenv shell "><pre><code>pipenv shell </code></pre></div> <p>Now install the dependencies and test dependencies:</p> <div class="snippet-clipboard-content position-relative" data-snippet-clipboard-copy-content="pip install -e '.[test]' "><pre><code>pip install -e '.[test]' </code></pre></div> <p>To run the tests:</p> <div class="snippet-clipboard-content position-relative" data-snippet-clipboard-copy-content="pytest "><pre><code>pytest </code></pre></div> </article></div>            

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