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https://github.com/mfa/datasette-auth-osm

Datasette plugin that authenticates users against OpenStreetmap
https://github.com/mfa/datasette-auth-osm

datasette datasette-plugin oauth2 openstreetmap-api

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Datasette plugin that authenticates users against OpenStreetmap

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# datasette-auth-osm

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Datasette plugin that authenticates users against OpenStreetMap

## Installation

Install this plugin in the same environment as Datasette.

datasette install datasette-auth-osm

## Demo

You can try this out at [datasette-auth-osm-demo.fly.dev](https://datasette-auth-osm-demo.fly.dev/) - click on the top right menu icon and select "Sign in with OpenStreetMap".

## Initial configuration

First, create a new application in [Openstreetmap - OAuth2 Applications](https://www.openstreetmap.org/oauth2/applications).
You will need the client ID and client secret for that application.

Add `http://127.0.0.1:8001/-/osm-callback` to the list of Allowed Callback URLs.

Then configure these plugin secrets using `metadata.yml`:

```yaml
plugins:
datasette-auth-osm:
client_id:
"$env": OSM_CLIENT_ID
client_secret:
"$env": OSM_CLIENT_SECRET
```

In development, you can run Datasette and pass in environment variables like this:
```
OSM_CLIENT_ID="...client-id-goes-here..." \
OSM_CLIENT_SECRET="...secret-goes-here..." \
datasette -m metadata.yml
```

Once your Datasette instance is deployed, you will need to add its callback URL to the "Allowed Callback URLs" list your [OAuth2 application](https://www.openstreetmap.org/oauth2/applications) in OpenStreetMap.

The callback URL should be something like:

https://url-to-your-datasette/-/osm-callback

Example for a permission block to only allow logged in users to see the private.db:
``` yaml
databases:
private:
allow:
osm_id: "*"
```
The name of the actor field is not ``id`` as in the Datasette documentation, but ``osm_id``.

## Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:

cd datasette-auth-osm
python3 -m venv venv
source venv/bin/activate

Now install the dependencies and test dependencies:

pip install -e '.[test]'

To run the tests:

pytest