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52 lines
1.7 KiB
Markdown
52 lines
1.7 KiB
Markdown
# osm-search
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This is a tool for allowing user friendly proximity queries from OpenStreetMap data.
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Bellingcat has a hosted version of the tool at https://osm-search.bellingcat.com/. For more information, see [the accompanying article](https://www.bellingcat.com/resources/how-tos/2023/05/08/finding-geolocation-leads-with-bellingcats-openstreetmap-search-tool/).
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## Setup and hosting your own
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### Setting up the database
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A Postgres database must be set up with OSM data. This can be done with `osm2pgsql`.
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`osm2pgsql -d osm --hstore-all planet-latest.osm.pbf`
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Next, some additional setup should be done on the database for performance and to create a combined view of all the data:
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```
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psql -d osm clean.sql
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psql -d osm cluster.sql
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psql -d osm index.sql
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psql -d osm analyze.sql
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psql -d osm views.sql
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```
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Note that if you run this using the entire planet OSM file, it will require about 700GB of space.
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### Running the API
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The API requires environment variables for connection with Postgres.
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- `PG_DB`
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- `PG_HOST`
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- `PG_PORT`
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- `PG_USER`
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- `PG_PASSWORD`
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It also requires a Google Firebase service account credentials file, which must be named `service_account.json`.
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### Running the frontend
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The frontend requires environment variables for Mapbox geocoding queries and for Firebase. These variables will be publicly viewable and built into the app.
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- `VUE_APP_MAPBOX_TOKEN`
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- `VUE_APP_FIREBASE_API_KEY`
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- `VUE_APP_FIREBASE_AUTH_DOMAIN`
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- `VUE_APP_FIREBASE_PROJECT_ID`
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- `VUE_APP_FIREBASE_STORAGE_BUCKET`
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- `VUE_APP_FIREBASE_MESSAGING_SENDER_ID`
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- `VUE_APP_FIREBASE_APP_ID`
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