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Paituli STAC scripts

Scripts to create STAC Collections from different data sources. PyTest tests contained in the tests folder.

Creating local STAC files

Paituli

Run paituli_to_stac.py to create the Catalog and Collections. The script requires that you give the database port as an argument with --port and the database host address with --db_host. You can also provide the database password with --pwd, and if you want to only create specific collections, use --collections.

python paituli_to_stac.py --port <DB-port> --db_host <Database host address>

Run add_puhti_assets.py to add assets to each Item which have the local Puhti HREF. You need to provide the collection ID with --collection and the GeoServer host with --host.

python add_puhti_assets.py --host <Host address> --collection <Collection ID>

Run update_paituli_stac.py to update collection/s. Multiple collections can be given with the --collections, but atleast one needs to be given. The host address is given via --host. Give the database host address with --db_host. The DB port can be given with --port or with additional input. Using the --local flag, the script checks the local files for new files. Using the --add_puhti flag, the script will add Puhti assets for the new Items. Using the --update_extents flag, the script will update the Collection Extents even if no Items were added.

python update_paituli_stac.py --port <DB-port> --db_host <Database host address> --host <Host address> --collections <Collection ID>

Sentinel

For getting the buckets through the boto3, you need read access to the CSC Project they are located in. Using the scripts on Linux, you need the allas_conf script for accessing Allas. The two CSV-files contain the buckets from these two CSC projects (first, second)

Create the local STAC files with:

python sentinel_to_stac.py

The update script is run with the selected host address.

python update_allas_sentinel.py --host <host-address>

FMI

To turn the FMI's static STAC files into a local STAC Catalog:

python fmi_to_stac.py

The update script is these above two scripts combined without needing to save the STAC Catalog locally. To run the update script, you need to provide the host address through the --host argument and the GeoServer password via a password-file, through --pwd argument or the script will ask it afterwards.

python update_fmi.py --host <host address> --pwd <GeoServer password>

GeoCubes

The collection information and translations are located in karttatasot.csv. If new datasets are added to GeoCubes, the translations of these datasets need to be added to karttatasot.csv before the script takes them into account.

Run geocubes_stac.py to turn the GeoCubes into STAC

python geocubes_stac.py

Run update_geocubes.py to update the GeoCubes collections in the selected host. Provide the host address as an argument.

python update_geocubes.py --host <update-host-address>

The check_new_datasets.py script checks if there's any new datasets in GeoCubes.

python check_new_datasets.py --host <host-address-to-compare-against>

Uploading local Catalog

Run stac_to_geoserver.py to upload the created Collections to GeoServer. You need to provide the GeoServer host with --host and the collection ID with --collection. You can also give the local Catalog folder name with --catalog or the script will ask it when run.

python stac_to_geoserver.py --host <Host address> --catalog <Catalog folder name> --collection <Collection ID>

Testing

Run the PyTest tests from the tests-folder with the Collection ID and host address provided with --collection and --host:

pytest ./tests --collection <Collection ID to test> --host <Host address>