AttributeError: module 'xarray' has no attribute 'open_rasterio'

[tsnow03]

What happened?

Hello! An old version of xarray worked fine with my code, but after an accidental update to 2023.05.0, creates this AttributeError with xarray open_rasterio. Downgrading to xarray 2023.03.0 fixed the issue, but all versions after had the bug including 2023.07.0. It seems related to corteva/rioxarray/issues/254. Thanks for all of your help!

What did you expect to happen?

No response

Minimal Complete Verifiable Example

# From JupyterHub normally with authentication via boto3
import pystac_client
import intake
import xarray as xr
import dask
import os
import rasterio as rio

# Define the landsat STAC catalog location
url = 'https://landsatlook.usgs.gov/stac-server'

api = pystac_client.Client.open(url)

items = api.search(
            bbox = (-103.0, -73.5, -102.0, -73.42),
            datetime = '2017-01-01/2017-01-31',
            collections='landsat-c2l1'
        ).item_collection()

# Open STAC catalog
catalog = intake.open_stac_item_collection(items)

img = list(catalog)[0]
item = catalog[img]

# Read in landsat band, specify chunk size
band = item['qa_pixel'](chunks=dict(band=1, x=512, y=512),
                    urlpath=item['qa_pixel'].metadata['alternate']['s3']['href']).to_dask()

MVCE confirmation

• Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
• Complete example — the example is self-contained, including all data and the text of any traceback.
• Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
• New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In [2], line 24
     20 item = catalog[img]
     22 # Read in landsat band, specify chunk size
     23 band = item['qa_pixel'](chunks=dict(band=1, x=512, y=512),
---> 24                     urlpath=item['qa_pixel'].metadata['alternate']['s3']['href']).to_dask()

File /srv/conda/envs/notebook/lib/python3.10/site-packages/intake_xarray/base.py:69, in DataSourceMixin.to_dask(self)
     67 def to_dask(self):
     68     """Return xarray object where variables are dask arrays"""
---> 69     return self.read_chunked()

File /srv/conda/envs/notebook/lib/python3.10/site-packages/intake_xarray/base.py:44, in DataSourceMixin.read_chunked(self)
     42 def read_chunked(self):
     43     """Return xarray object (which will have chunks)"""
---> 44     self._load_metadata()
     45     return self._ds

File /srv/conda/envs/notebook/lib/python3.10/site-packages/intake/source/base.py:285, in DataSourceBase._load_metadata(self)
    283 """load metadata only if needed"""
    284 if self._schema is None:
--> 285     self._schema = self._get_schema()
    286     self.dtype = self._schema.dtype
    287     self.shape = self._schema.shape

File /srv/conda/envs/notebook/lib/python3.10/site-packages/intake_xarray/raster.py:102, in RasterIOSource._get_schema(self)
     99 self.urlpath, *_ = self._get_cache(self.urlpath)
    101 if self._ds is None:
--> 102     self._open_dataset()
    104     ds2 = xr.Dataset({'raster': self._ds})
    105     metadata = {
    106         'dims': dict(ds2.dims),
    107         'data_vars': {k: list(ds2[k].coords)
   (...)
    110         'array': 'raster'
    111     }

File /srv/conda/envs/notebook/lib/python3.10/site-packages/intake_xarray/raster.py:90, in RasterIOSource._open_dataset(self)
     88     self._ds = self._open_files(files)
     89 else:
---> 90     self._ds = xr.open_rasterio(files, chunks=self.chunks,
     91                                 **self._kwargs)

AttributeError: module 'xarray' has no attribute 'open_rasterio'

Anything else we need to know?

No response

Environment

INSTALLED VERSIONS

commit: None
python: 3.10.11 | packaged by conda-forge | (main, May 10 2023, 18:58:44) [GCC 11.3.0]
python-bits: 64
OS: Linux
OS-release: 5.10.167-147.601.amzn2.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.14.0
libnetcdf: 4.9.2

xarray: 2023.5.0
pandas: 1.5.2
numpy: 1.23.5
scipy: 1.9.3
netCDF4: 1.6.4
pydap: None
h5netcdf: 1.1.0
h5py: 3.8.0
Nio: None
zarr: 2.15.0
cftime: 1.6.2
nc_time_axis: None
PseudoNetCDF: None
iris: None
bottleneck: None
dask: 2022.11.0
distributed: 2022.11.0
matplotlib: 3.6.2
cartopy: 0.21.1
seaborn: 0.12.1
numbagg: None
fsspec: 2022.11.0
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 67.7.2
pip: 22.3.1
conda: None
pytest: 7.2.0
mypy: None
IPython: 8.6.0
sphinx: 4.5.0

[welcome]

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Thank you!

[TomNicholas]

Hi @tsnow03 , nice to see you! 👋

Xarray's open_rasterio function was deprecated then removed completely in favour of using the backend entrypoint system (see #4697).

What this means for users is that they should install rioxarray and use xr.open_dataset(path, engine='rasterio'), see rioxarray docs on reading files. There should have been a warning raised about this automatically for the past 2 years.

In your case the offending open_rasterio call is happening inside intake_xarray. You should try updating that package, and if that doesn't work raise this issue again on the intake_xarray repository (exactly how you have done here, this is very clear, thank you).

However I'm surprised I can't find an issue about this there already - perhaps @scottyhq knows?

[tsnow03]

Ok. Thank you @TomNicholas! I'll work on fixing this.

[scottyhq]

However I'm surprised I can't find an issue about this there already - perhaps @scottyhq knows?

intake-stac (which uses intake-xarray behind the scenes) development is somewhat stalled. The idea being that there are now tools to go directly from STAC catalogs to Xarray without needing intake as an intermediary.

Check out these alternatives:
https://pypi.org/project/xpystac/
https://github.com/opendatacube/odc-stac
https://github.com/gjoseph92/stackstac

@tsnow03 for a single asset like you've shown above here is an alternative:

# Requires local credentials for USGS Landsat on AWS
os.environ["AWS_REQUEST_PAYER"] = "requester"

asset = items[0].assets['qa_pixel']
href = asset.extra_fields['alternate']['s3']['href']

band = xr.open_dataset(href, engine='rasterio', chunks=dict(band=1, x=512, y=512))
band

[tsnow03]

Thanks @scottyhq for the code example! You saved me a lot of time. This will get updated in our JupyterBook too.