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| 374846311 | MDEwOlJlcG9zaXRvcnkzNzQ4NDYzMTE= | datasette-geojson | eyeseast/datasette-geojson | 0 | 25778 | https://github.com/eyeseast/datasette-geojson | Add GeoJSON output to Datasette queries | 0 | 2021-06-08T01:33:19Z | 2022-02-16T19:59:42Z | 2022-02-16T20:02:49Z | 1102 | 3 | 3 | Python | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 3 | ["datasette-io", "datasette-plugin", "geojson", "gis", "sqlite"] | 1 | 3 | 3 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 1 | 1 | # datasette-geojson [](https://pypi.org/project/datasette-geojson/) [](https://github.com/eyeseast/datasette-geojson/releases) [](https://github.com/eyeseast/datasette-geojson/actions?query=workflow%3ATest) [](https://github.com/eyeseast/datasette-geojson/blob/main/LICENSE) Add GeoJSON as an output option for datasette queries. ## Installation Install this plugin in the same environment as Datasette. datasette install datasette-geojson ## Usage To render GeoJSON, add a `.geojson` extension to any query URL that includes a `geometry` column. That column should be a valid [GeoJSON geometry](https://datatracker.ietf.org/doc/html/rfc7946#section-3.1). For example, you might use [geojson-to-sqlite](https://pypi.org/project/geojson-to-sqlite/) or [shapefile-to-sqlite](https://pypi.org/project/shapefile-to-sqlite/) to load [neighborhood boundaries](https://bostonopendata-boston.opendata.arcgis.com/datasets/3525b0ee6e6b427f9aab5d0a1d0a1a28_0/explore) into a SQLite database. ```sh wget -O neighborhoods.geojson https://opendata.arcgis.com/datasets/3525b0ee6e6b427f9aab5d0a1d0a1a28_0.geojson geojson-to-sqlite boston.db neighborhoods neighborhoods.geojson --spatial-index # create a spatial index datasette serve boston.db --load-extension spatialite ``` If you're using Spatialite, the geometry column will be in a binary format. If not, make sure the `geometry` column is a well-formed [GeoJSON geometry](https://datatracker.ietf.org/doc/html/rfc7946#section-3.1). If you used `geojson-to-sqlite` or `shapefile-to-sqlite`, you should be all set. Run this query in Datasette and you'll see a link to download GeoJSON: ```sql select rowid, OBJECTID, Name, Acres, Neighborhood_ID, SqMiles, ShapeSTArea, ShapeSTLength, geometry from neighborhoods order by rowid limit 101 ``` Note that the geometry column needs to be explicitly _named_ `geometry` or you won't get the option to export GeoJSON. If you want to use a different column, rename it with `AS`: `SELECT other AS geometry FROM my_table`.  ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-geojson python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and tests: 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 dir="auto"><a id="user-content-datasette-geojson" class="anchor" aria-hidden="true" href="#user-content-datasette-geojson"><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-geojson</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-geojson/" rel="nofollow"><img src="https://camo.githubusercontent.com/526d2a27eb7e19691a8f966dba069780f3fe109d6ac662d72901ff561f31b133/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d67656f6a736f6e2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-geojson.svg" style="max-width: 100%;"></a> <a href="https://github.com/eyeseast/datasette-geojson/releases"><img src="https://camo.githubusercontent.com/367e4f55f2b376367d7fbc8ab6ec5d765b3b04590149b3a8f60794cd39a5b54d/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f65796573656173742f6461746173657474652d67656f6a736f6e3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/eyeseast/datasette-geojson?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/eyeseast/datasette-geojson/actions?query=workflow%3ATest"><img src="https://github.com/eyeseast/datasette-geojson/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/eyeseast/datasette-geojson/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 dir="auto">Add GeoJSON as an output option for datasette queries.</p> <h2 dir="auto"><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 dir="auto">Install this plugin in the same environment as Datasette.</p> <div class="snippet-clipboard-content position-relative overflow-auto" data-snippet-clipboard-copy-content="datasette install datasette-geojson"><pre><code>datasette install datasette-geojson </code></pre></div> <h2 dir="auto"><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 dir="auto">To render GeoJSON, add a <code>.geojson</code> extension to any query URL that includes a <code>geometry</code> column. That column should be a valid <a href="https://datatracker.ietf.org/doc/html/rfc7946#section-3.1" rel="nofollow">GeoJSON geometry</a>.</p> <p dir="auto">For example, you might use <a href="https://pypi.org/project/geojson-to-sqlite/" rel="nofollow">geojson-to-sqlite</a> or <a href="https://pypi.org/project/shapefile-to-sqlite/" rel="nofollow">shapefile-to-sqlite</a> to load <a href="https://bostonopendata-boston.opendata.arcgis.com/datasets/3525b0ee6e6b427f9aab5d0a1d0a1a28_0/explore" rel="nofollow">neighborhood boundaries</a> into a SQLite database.</p> <div class="highlight highlight-source-shell position-relative overflow-auto" data-snippet-clipboard-copy-content="wget -O neighborhoods.geojson https://opendata.arcgis.com/datasets/3525b0ee6e6b427f9aab5d0a1d0a1a28_0.geojson geojson-to-sqlite boston.db neighborhoods neighborhoods.geojson --spatial-index # create a spatial index datasette serve boston.db --load-extension spatialite"><pre>wget -O neighborhoods.geojson https://opendata.arcgis.com/datasets/3525b0ee6e6b427f9aab5d0a1d0a1a28_0.geojson geojson-to-sqlite boston.db neighborhoods neighborhoods.geojson --spatial-index <span class="pl-c"><span class="pl-c">#</span> create a spatial index</span> datasette serve boston.db --load-extension spatialite</pre></div> <p dir="auto">If you're using Spatialite, the geometry column will be in a binary format. If not, make sure the <code>geometry</code> column is a well-formed <a href="https://datatracker.ietf.org/doc/html/rfc7946#section-3.1" rel="nofollow">GeoJSON geometry</a>. If you used <code>geojson-to-sqlite</code> or <code>shapefile-to-sqlite</code>, you should be all set.</p> <p dir="auto">Run this query in Datasette and you'll see a link to download GeoJSON:</p> <div class="highlight highlight-source-sql position-relative overflow-auto" data-snippet-clipboard-copy-content="select rowid, OBJECTID, Name, Acres, Neighborhood_ID, SqMiles, ShapeSTArea, ShapeSTLength, geometry from neighborhoods order by rowid limit 101"><pre><span class="pl-k">select</span> rowid, OBJECTID, Name, Acres, Neighborhood_ID, SqMiles, ShapeSTArea, ShapeSTLength, geometry <span class="pl-k">from</span> neighborhoods <span class="pl-k">order by</span> rowid <span class="pl-k">limit</span> <span class="pl-c1">101</span></pre></div> <p dir="auto">Note that the geometry column needs to be explicitly <em>named</em> <code>geometry</code> or you won't get the option to export GeoJSON. If you want to use a different column, rename it with <code>AS</code>: <code>SELECT other AS geometry FROM my_table</code>.</p> <p dir="auto"><a target="_blank" rel="noopener noreferrer" href="img/export-options.png"><img src="img/export-options.png" alt="export geojson" style="max-width: 100%;"></a></p> <h2 dir="auto"><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 dir="auto">To set up this plugin locally, first checkout the code. Then create a new virtual environment:</p> <div class="snippet-clipboard-content position-relative overflow-auto" data-snippet-clipboard-copy-content="cd datasette-geojson python3 -mvenv venv source venv/bin/activate"><pre><code>cd datasette-geojson python3 -mvenv venv source venv/bin/activate </code></pre></div> <p dir="auto">Or if you are using <code>pipenv</code>:</p> <div class="snippet-clipboard-content position-relative overflow-auto" data-snippet-clipboard-copy-content="pipenv shell"><pre><code>pipenv shell </code></pre></div> <p dir="auto">Now install the dependencies and tests:</p> <div class="snippet-clipboard-content position-relative overflow-auto" data-snippet-clipboard-copy-content="pip install -e '.[test]'"><pre><code>pip install -e '.[test]' </code></pre></div> <p dir="auto">To run the tests:</p> <div class="snippet-clipboard-content position-relative overflow-auto" data-snippet-clipboard-copy-content="pytest"><pre><code>pytest </code></pre></div> </article></div> | 1 | public | 0 |
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