Metadata-Version: 2.1
Name: datasette-geojson
Version: 0.3.0
Summary: Add GeoJSON as an output option
Home-page: https://github.com/eyeseast/datasette-geojson
Author: Chris Amico
License: Apache License, Version 2.0
Project-URL: Issues, https://github.com/eyeseast/datasette-geojson/issues
Project-URL: CI, https://github.com/eyeseast/datasette-geojson/actions
Project-URL: Changelog, https://github.com/eyeseast/datasette-geojson/releases
Description: # datasette-geojson
        
        [![PyPI](https://img.shields.io/pypi/v/datasette-geojson.svg)](https://pypi.org/project/datasette-geojson/)
        [![Changelog](https://img.shields.io/github/v/release/eyeseast/datasette-geojson?include_prereleases&label=changelog)](https://github.com/eyeseast/datasette-geojson/releases)
        [![Tests](https://github.com/eyeseast/datasette-geojson/workflows/Test/badge.svg)](https://github.com/eyeseast/datasette-geojson/actions?query=workflow%3ATest)
        [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](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`.
        
        ![export geojson](img/export-options.png)
        
        ## 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
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: test
