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Tile Generation Script (#433)

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Jorge Escobar 2021-08-03 18:23:57 -04:00 • committed by GitHub
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data/data-pipeline/README.md
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@ -128,6 +128,8 @@ Here's a list of commands:
- Generate census data: `docker exec j40_data_pipeline_1 python3 application.py census-data-download"`
- Run all ETL processes: `docker exec j40_data_pipeline_1 python3 application.py etl-run"`
- Generate Score: `docker exec j40_data_pipeline_1 python3 application.py score-run"`
- Generate Score with Geojson and high and low versions: `docker exec j40_data_pipeline_1 python3 application.py geo-score`
- Generate Map Tiles: `docker exec j40_data_pipeline_1 python3 application.py generate-map-tiles`
## Local development
@ -154,15 +156,18 @@ You can run the Python code locally without Docker to develop, using Poetry. How
- Then run `poetry run python application.py census-data-download`
Note: Census files are not kept in the repository and the download directories are ignored by Git
### Generating mbtiles
### Generating Map Tiles
- TBD
- Make sure you have Docker running in your machine
- Start a terminal
- Change to this directory (i.e. `cd data/data-pipeline`)
- Then run `poetry run python application.py generate-map-tiles`
### Serve the map locally
- Start a terminal
- Change to this directory (i.e. `cd data/data-pipeline`)
- Run: `docker run --rm -it -v ${PWD}/data/tiles:/data -p 8080:80 maptiler/tileserver-gl`
- For USA high zoom: `docker run --rm -it -v ${PWD}/data/score/tiles/high:/data -p 8080:80 maptiler/tileserver-gl`
### Running Jupyter notebooks