stac-pydantic 2.0.3

Pydantic data models for the STAC spec

stac-pydantic

Pydantic models for STAC Catalogs, Collections, Items, and the STAC API spec. Initially developed by arturo-ai.

Installation

pip install stac-pydantic

For local development:

pip install -e .["dev"]

stac-pydantic	stac
1.1.x	0.9.0
1.2.x	1.0.0-beta.1
1.3.x	1.0.0-beta.2
2.0.x	1.0.0

Testing

Run the entire test suite:

tox

Run a single test case using the standard pytest convention:

pytest -v tests/test_models.py::test_item_extensions

Usage

Loading Models

Load data into models with standard pydantic:

from stac_pydantic import Catalog

stac_catalog = {
  "stac_version": "0.9.0",
  "id": "sample",
  "description": "This is a very basic sample catalog.",
  "links": [
    {
      "href": "item.json",
      "rel": "item"
    }
  ]
}

catalog = Catalog(**stac_catalog)
assert catalog.id == "sample"
assert catalog.links[0].href == "item.json"

Extensions

STAC defines many extensions which let the user customize the data in their catalog. stac-pydantic.extensions.validate_extensions will validate a dict, Item, Collection or Catalog against the schema urls provided in the stac_extensions property:

from stac_pydantic import Item
from stac_pydantic.extensions import validate_extensions

stac_item = {
    "id": "12345",
    "type": "Feature",
    "stac_extensions": [
        "https://stac-extensions.github.io/eo/v1.0.0/schema.json" 
    ],
    "geometry": { "type": "Point", "coordinates": [0, 0] },
    "properties": {
        "datetime": "2020-03-09T14:53:23.262208+00:00",
        "eo:cloud_cover": 25,
    },
    "links": [],
    "assets": [],
}

model = Item(**stac_item) 
validate_extensions(model, reraise_exception=True)
assert getattr(model.properties, "eo:cloud_cover") == 25 

The complete list of current STAC Extensions can be found here.

Vendor Extensions

The same procedure described above works for any STAC Extension schema as long as it can be loaded from a public url.

Exporting Models

Most STAC extensions are namespaced with a colon (ex eo:gsd) to keep them distinct from other extensions. Because Python doesn't support the use of colons in variable names, we use Pydantic aliasing to add the namespace upon model export. This requires exporting the model with the by_alias = True parameter. A convenience method (to_dict()) is provided to export models with extension namespaces:

item_dict = item.to_dict()
assert item_dict['properties']['landsat:row'] == item.properties.row == 250

CLI

Usage: stac-pydantic [OPTIONS] COMMAND [ARGS]...

  stac-pydantic cli group

Options:
  --help  Show this message and exit.

Commands:
  validate-item  Validate STAC Item