edr-pydantic 0.1.1

Pydantic models for OGC Environmental Data (EDR) API

OGC Environmental Data Retrieval (EDR) API Pydantic

This repository contains the edr-pydantic Python package. It provides Pydantic models for the OGC Environmental Data Retrieval (EDR) API. This can, for example, be used to help develop an EDR API using FastAPI.

Install

pip install edr-pydantic

Or to install from source:

pip install git+https://github.com/KNMI/edr-pydantic.git

Usage

from edr_pydantic.collections import Collection
from edr_pydantic.data_queries import EDRQuery, EDRQueryLink
from edr_pydantic.extent import Extent, Spatial
from edr_pydantic.link import Link
from edr_pydantic.observed_property import ObservedProperty
from edr_pydantic.parameter import Parameter
from edr_pydantic.unit import Unit
from edr_pydantic.variables import Variables

c = Collection(
    id="hrly_obs",
    title="Hourly Site Specific observations",
    description="Observation data for UK observing sites",
    extent=Extent(
        spatial=Spatial(
            bbox=[
                [-15.0, 48.0, 5.0, 62.0]
            ],
            crs="WGS84"
        )
    ),
    links=[
        Link(
            href="https://example.org/uk-hourly-site-specific-observations",
            rel="service-doc"
        )
    ],
    data_queries={
        'position': EDRQuery(
            link=EDRQueryLink(
                href="https://example.org/edr/collections/hrly_obs/position?coords={coords}",
                rel="data",
                variables=Variables(
                    query_type="position",
                    output_formats=[
                        "CoverageJSON"
                    ]
                )
            )
        )
    },
    parameter_names={
        "Wind Direction": Parameter(
            unit=Unit(
                label="degree true"
            ),
            observedProperty=ObservedProperty(
                id="https://codes.wmo.int/common/quantity-kind/_windDirection",
                label="Wind Direction"
            )
        )
    }
)

print(c.model_dump_json(indent=2, exclude_none=True))

Will print

{
  "id": "hrly_obs",
  "title": "Hourly Site Specific observations",
  "description": "Observation data for UK observing sites",
  "links": [
    {
      "href": "https://example.org/uk-hourly-site-specific-observations",
      "rel": "service-doc"
    }
  ],
  "extent": {
    "spatial": {
      "bbox": [
        [
          -15.0,
          48.0,
          5.0,
          62.0
        ]
      ],
      "crs": "WGS84"
    }
  },
  "data_queries": {
    "position": {
      "link": {
        "href": "https://example.org/edr/collections/hrly_obs/position?coords={coords}",
        "rel": "data",
        "variables": {
          "query_type": "position",
          "output_formats": [
            "CoverageJSON"
          ]
        }
      }
    }
  },
  "parameter_names": {
    "Wind Direction": {
      "type": "Parameter",
      "unit": {
        "label": "degree true"
      },
      "observedProperty": {
        "id": "https://codes.wmo.int/common/quantity-kind/_windDirection",
        "label": "Wind Direction"
      }
    }
  }
}

Contributing

Make an editable install from within the repository root

pip install -e '.[test]'

Running tests

pytest tests/

Real world usage

This library is used to build an Environmental Data Retrieval (EDR) API, serving observation data from surface weather data station data from the KNMI. See the KNMI Data Platform.

TODOs

Help is wanted in the following areas to fully implement the EDR spec:

• See TODOs in code listing various small inconsistencies in the spec
• In various places there could be more validation on content

License

Apache License, Version 2.0