API to extract individual feature data from BVSAR data stores.
Provides an interface to count and extract features within a given bounding box, clipped to that bounding box, from a specified dataset.
The following environment variables are mandatory:
creds_hash
: hash of a valid username / password. Executescripts/creds.sh --user <username> --pass <password>
to generate a valid hash.data_access_prefix
: path to directory containing FlatGeobuf files. Can be S3 with/vsis3/
prefix or local path. Files should not be in sub-directories.
The following environment variables are optional:
out_data_dir
: identifies the directory used to store generated datasets, defaults to tmp location.
Assumes Python >= 3.8.
If no local debugging is required, and all development work is exercised exclusively via automated tests, no additional dependencies are required.
scripts/test.sh
to execute tests
If local debugging is required, GDAL must also be installed (tested with GDAL 3.5.1)
scripts/local.sh
to install dependencies and configure pre-commit hooks
{
"version": "0.2.0",
"configurations": [
{
"name": "api",
"type": "python",
"request": "launch",
"module": "uvicorn",
"args": [
"feature_extract_api.app:app",
"--host", "0.0.0.0",
"--port", "8123",
"--reload"
],
"envFile": "${workspaceFolder}/minio/.env.creds",
"env": {
"creds_hash": "$2b$12$85MauznOKD7Y7fi2oTDSw.HNMu5pnWvyqpd/6/WPVhMjafa3ztkTu",
"data_access_prefix": "/vsis3/bvsar",
"AWS_S3_ENDPOINT": "localhost:9001",
"AWS_HTTPS": "NO",
"AWS_VIRTUAL_HOSTING": "FALSE"
},
"console": "integratedTerminal",
"justMyCode": false
}, {
"name": "pytest",
"type": "python",
"request": "launch",
"module": "pytest",
"console": "integratedTerminal",
"justMyCode": false
}
]
}