OSM Import Tools
Using
Roads
Addresses
Run after Roads to reduce validation errors. Easiest to hide existing (gray) and removed (red) and just focus on what new addresses to add.
Open in JOSM, and download the affected areas from OSM including highways with this Overpass query:
Paths
Only Sumter currently has paths available.
Docker Quick Start
Using Docker Compose (Recommended)
- Build and start the container:
docker-compose up -d --build
Note: The --build flag ensures the image is rebuilt with the latest code changes.
- Access the web interface:
- Main interface: http://localhost:5000
- Map viewer: http://localhost:5000/map
- Stop the container:
docker-compose down
Using Docker Directly
- Build the image:
docker build -t osm-import-tools .
- Run the container:
docker run -d \
-p 5000:5000 \
-v "$(pwd)/data:/data" \
--name osm-import-tools \
osm-import-tools
- View logs:
docker logs -f osm-import-tools
- Stop the container:
docker stop osm-import-tools
docker rm osm-import-tools
Deploying with Portainer
Just push to git and set up a pull from git; Portainer can build and run the project directly.
Uploading to a registry
docker build -t osm-import-tools .
docker tag osm-import-tools your-registry.example.com/you/osm-import-tools
docker push your-registry.example.com/you/osm-import-tools
Features
Main Dashboard (/)
- Run data processing scripts for Lake and Sumter counties
- View real-time script output
- Access to:
- Diff Roads
- Diff Addresses
- Diff Multi-Use Paths
- Download OSM Data
Map Viewer (/map)
- Interactive map viewer for GeoJSON files
- Upload and compare OSM, Diff, and County data
- Filter by removed/added features
- Hide highway=service roads
- Drag-and-drop layer reordering
- Click on features to view properties
- Accept/reject diff features
Volume Mounts
The Docker container mounts a single data directory:
./data→/data- All data files, organized by county
Inside /data, the structure is:
/data/lake/- Lake County data/data/sumter/- Sumter County data
All changes are persisted on the host in the local ./data folder.
API Endpoints
GET /- Main dashboardGET /map- Map viewerPOST /api/run-script- Execute a processing scriptGET /api/job-status/<job_id>- Get script status and logsGET /api/list-files- List available GeoJSON filesGET /data/<path>- Serve GeoJSON files
Troubleshooting
Port already in use
If port 5000 is already in use, edit docker-compose.yml:
ports:
- "8080:5000" # Change 8080 to any available port
Permission issues
Ensure the data directory has proper permissions:
mkdir -p data
chmod -R 755 data
View container logs
docker-compose logs -f
Rebuild after code changes
docker-compose down
docker-compose build --no-cache
docker-compose up -d
TODO
- Validate whether a similar address is within 50 feet (same number?)
- If addr:unit is like "Apartment 123" or "Apartment 123;Apartment 124;Apartment 125" remove the word Apartment so it's just "123" or "123;124;125"
- If an item gets through processing and is "" it should be cleared
- If a value is a range like "123 - 456" assume it's the same as "123-456" for matching purposes
- Unit numbers with semicolons are still getting detected as different despite being identical, like: addr:city=Wildwood addr:housenumber=8655 addr:postcode=34785 addr:state=FL addr:street=Easterly Lane addr:unit=108;208;308
- Some items appear duplicate in the data itself for unknown reasons: addr:city=Bushnell addr:housenumber=5740 addr:postcode=33513 addr:state=FL addr:street=Hideaway Circle
- Sr is SR (State Route)
Corrections
{ "corrections": [ { "from": "D Angelo Lane", "to": "D'Angelo Lane" }, { "from": "Lajolla Circle", "to": "La Jolla Circle" }, { "from": "Gardena Court", "to": "Gardenia Court" }, { "from": "Glenmont Court", "to": "Glenmount Court" }, { "from": "Pawleys Island Path", "to": "Pawley's Island Path" }, { "from": "Oday Street", "to": "O'Day Street" }, { "from": "Obrien Place", "to": "O'Brien Place" }, { "from": "Ohara Court", "to": "O'Hara Court" }, { "from": "Drive Randy Mcdaniel Way", "to": "Doctor Randy McDaniel Way" }, { "from": "Mcneillrescue Lane", "to": "Rescue Lane" }, { "from": "Longleaf Lane", "to": "Long Leaf Lane" } ] }