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Logan Williams
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# osm-search
This is a tool for allowing user friendly proximity queries from OpenStreetMap data.
Bellingcat has a hosted version of the tool at https://osm-search.bellingcat.com/. For more information, see the accompanying article: https://osm-search.bellingcat.com/
![A screenshot of the tool in use](https://www.bellingcat.com/app/uploads/2023/04/image5-3-1200x829.png)
## Setup and hosting your own
### Setting up the database
A Postgres database must be set up with OSM data. This can be done with `osm2pgsql`.
`osm2pgsql -d osm --hstore-all planet-latest.osm.pbf`
Next, some additional setup should be done on the database for performance and to create a combined view of all the data:
```
psql -d osm clean.sql
psql -d osm cluster.sql
psql -d osm index.sql
psql -d osm analyze.sql
psql -d osm views.sql
```
Note that if you run this using the entire planet OSM file, it will require about 700GB of space.
### Running the API
The API requires environment variables for connection with Postgres.
- `PG_DB`
- `PG_HOST`
- `PG_PORT`
- `PG_USER`
- `PG_PASSWORD`
### Running the frontend
The frontend requires one environment variable, `VUE_ENV_MAPBOX_KEY` to be set. This Mapbox key is used for geocoding queries.