Skip to main content

No project description provided

Project description

xpublish-edr

PyPI Conda Version

Tests codecov pre-commit.ci status

Xpublish routers for the OGC EDR API.

Documentation and code

URLs for the docs and code.

Installation

For conda users you can

conda install --channel conda-forge xpublish_edr

or, if you are a pip users

pip install xpublish_edr

Example

import xarray as xr
import xpublish
from xpublish.routers import base_router, zarr_router
from xpublish_edr.cf_edr_router import cf_edr_router


ds = xr.open_dataset("dataset.nc")

rest = xpublish.Rest(
    datasets,
    routers=[
        (base_router, {"tags": ["info"]}),
        (cf_edr_router, {"tags": ["edr"], "prefix": "/edr"}),
        (zarr_router, {"tags": ["zarr"], "prefix": "/zarr"}),
    ],
)

OGC EDR Spec Compliance

This package attempts to follow the spec where reasonable, adding functionality where the value is demonstrable.

collections and Resource Paths Support

xpublish-edr does not currently support the /collections/{collectionId}/query path template described in the spec. Instead the path resource appears as /{dataset_id}/edr/{query}. This is because of the path structure of xpublish. In the future, if xpublish supports DataTree it could provide a path to supporting the spec compliant collections resource path.

However, despite the collections resource not existing, this implementation supports collection metadata at the dataset level through the /{dataset_id}/edr/ resource.

Supported Queries

8.2.1 Position query

Query Compliant Comments
coords
z
datetime
parameter-name
crs Requires a CF compliant grid mapping on the target dataset. Default is EPSG:4326
parameter-name
f
method Optional: controls data selection. Use "nearest" for nearest neighbor selection, or "linear" for interpolated selection. Uses nearest if not specified

Any additional query parameters are assumed to be additional selections to make on the dimensions/coordinates. These queries will use the specified selections method.

8.2.3 Area query

Query Compliant Comments
coords Only POLYGON supported currently
z
datetime
parameter-name
crs Requires a CF compliant grid mapping on the target dataset. Default is EPSG:4326
parameter-name
f
method Optional: controls data selection. Use "nearest" for nearest neighbor selection, or "linear" for interpolated selection. Uses nearest if not specified

method is not applicable for the coordinates of area queries, only for selecting datetime, z, or additional dimensions.

For POLYGON coordinates, points that are located within OR on the polygons boundary are included in the response.

Get in touch

Report bugs, suggest features or view the source code on GitHub.

License and copyright

xpublish-edr is licensed under BSD 3-Clause "New" or "Revised" License (BSD-3-Clause).

Development occurs on GitHub at https://github.com/gulfofmaine/xpublish-edr/issues.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xpublish_edr-0.4.0.tar.gz (16.5 kB view details)

Uploaded Source

Built Distribution

xpublish_edr-0.4.0-py3-none-any.whl (19.9 kB view details)

Uploaded Python 3

File details

Details for the file xpublish_edr-0.4.0.tar.gz.

File metadata

  • Download URL: xpublish_edr-0.4.0.tar.gz
  • Upload date:
  • Size: 16.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for xpublish_edr-0.4.0.tar.gz
Algorithm Hash digest
SHA256 a01936a421e7d61c985091cb7447722ce81975896833718e34bb69ff43d60903
MD5 9e8aaefb55dac9a08931d0fd82e8d7e8
BLAKE2b-256 ed61f86e57bc0edaf026f1b1ea7d3ca16b4fa8124d7a7076e18a85cefe7bd0bc

See more details on using hashes here.

Provenance

The following attestation bundles were made for xpublish_edr-0.4.0.tar.gz:

Publisher: publish-to-pypi.yml on xpublish-community/xpublish-edr

Attestations:

File details

Details for the file xpublish_edr-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: xpublish_edr-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 19.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for xpublish_edr-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 42e20282e98c5aa66334644f4c0907d4cf192f342526cb7eb0c60865d3d5ed5d
MD5 6d2bcbf27b4201c5a4af171ab26eb405
BLAKE2b-256 33cffc5b6e2174c2e4d52e6b4a6150a27e9021a59736b098b8f8129fb01d0b29

See more details on using hashes here.

Provenance

The following attestation bundles were made for xpublish_edr-0.4.0-py3-none-any.whl:

Publisher: publish-to-pypi.yml on xpublish-community/xpublish-edr

Attestations:

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page