Publish Xarray Datasets via a Zarr compatible REST API
Serverside: Publish a xarray dataset as a rest API
Client-side: Connect to a published dataset
import xarray as xr import zarr from fsspec.implementations.http import HTTPFileSystem fs = HTTPFileSystem() http_map = fs.get_mapper('http://0.0.0.0:9000') # open as a zarr group zg = zarr.open_consolidated(http_map, mode='r') # open as another xarray dataset ds = xr.open_zarr(http_map, consolidated=True)
xpublish lets you serve/share/publish xarray datasets via a web application. The data in the xarray datasets (on the server side) can be backed by dask to facilitate on-demand computation via a simple REST API. We are exploring applications of xpublish that include:
- publish on-demand derived data products
- turning xarray objects into streaming services (e.g. OPENDAP)
Under the hood, xpublish is using a web app (FastAPI) that is exposing a minimal Zarr compatible REST-like API. Key attributes of the API are:
- serves a Zarr store API from the root of the dataset
- provides Zarr metadata keys (
.zmetadata) as json strings.
- provides access to data keys (e.g.
var/0.0.0) as binary strings.