xarray.open_mfdataset() example in Xee README fails

[tylere]

Is dask required for the open_mfdataset() example to work?

To reproduce

mamba create -n xee-test -c conda-forge python=3.11 xee 

Open a python shell and run the open_mfdataset example:

(xee-test) tylere@Tylers-MBP xee-test % python
Python 3.11.6 | packaged by conda-forge | (main, Oct  3 2023, 10:37:07) [Clang 15.0.7 ] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import ee
>>> import xarray
>>> ee.Initialize(opt_url='https://earthengine-highvolume.googleapis.com')
>>> ds = xarray.open_mfdataset(['ee://ECMWF/ERA5_LAND/HOURLY', 'ee://NASA/GDDP-CMIP6'],
...                            engine='ee', crs='EPSG:4326', scale=0.25)

Traceback

/Users/tylere/mambaforge/envs/xee-test/lib/python3.11/site-packages/xee/ext.py:565: UserWarning: Converting non-nanosecond precision datetime values to nanosecond precision. This behavior can eventually be relaxed in xarray, as it is an artifact from pandas which is now beginning to support non-nanosecond precision values. This warning is caused by passing non-nanosecond np.datetime64 or np.timedelta64 values to the DataArray or Variable constructor; it can be silenced by converting the values to nanosecond precision ahead of time.
  xarray.Variable(self.primary_dim_name, primary_coord),
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/tylere/mambaforge/envs/xee-test/lib/python3.11/site-packages/xarray/backends/api.py", line 1027, in open_mfdataset
    datasets = [open_(p, **open_kwargs) for p in paths]
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/tylere/mambaforge/envs/xee-test/lib/python3.11/site-packages/xarray/backends/api.py", line 1027, in <listcomp>
    datasets = [open_(p, **open_kwargs) for p in paths]
                ^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/tylere/mambaforge/envs/xee-test/lib/python3.11/site-packages/xarray/backends/api.py", line 579, in open_dataset
    ds = _dataset_from_backend_dataset(
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/tylere/mambaforge/envs/xee-test/lib/python3.11/site-packages/xarray/backends/api.py", line 371, in _dataset_from_backend_dataset
    ds = _chunk_ds(
         ^^^^^^^^^^
  File "/Users/tylere/mambaforge/envs/xee-test/lib/python3.11/site-packages/xarray/backends/api.py", line 319, in _chunk_ds
    chunkmanager = guess_chunkmanager(chunked_array_type)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/tylere/mambaforge/envs/xee-test/lib/python3.11/site-packages/xarray/core/parallelcompat.py", line 93, in guess_chunkmanager
    raise ValueError(
ValueError: unrecognized chunk manager dask - must be one of: []
>>>

Environment:

Pip package versions:

earthengine-api               0.1.377
xarray                        2023.10.1
xee                           0.0.2

pip list

Package Version ------------------------ ------------ affine 2.4.0 aiohttp 3.8.6 aiosignal 1.3.1 async-timeout 4.0.3 attrs 23.1.0 Brotli 1.1.0 cachetools 5.3.2 certifi 2023.7.22 cffi 1.16.0 charset-normalizer 3.3.2 cryptography 41.0.5 earthengine-api 0.1.377 frozenlist 1.4.0 google-api-core 2.12.0 google-api-python-client 2.106.0 google-auth 2.23.4 google-auth-httplib2 0.1.1 google-cloud-core 2.3.3 google-cloud-storage 2.13.0 google-crc32c 1.1.2 google-resumable-media 2.6.0 googleapis-common-protos 1.61.0 grpcio 1.59.2 httplib2 0.22.0 idna 3.4 multidict 6.0.4 numpy 1.26.0 packaging 23.2 pandas 2.1.2 pip 23.3.1 protobuf 4.24.4 pyasn1 0.5.0 pyasn1-modules 0.3.0 pycparser 2.21 pyOpenSSL 23.3.0 pyparsing 3.1.1 pyproj 3.6.1 PySocks 1.7.1 python-dateutil 2.8.2 pytz 2023.3.post1 pyu2f 0.1.5 requests 2.31.0 rsa 4.9 setuptools 68.2.2 six 1.16.0 typing_extensions 4.8.0 tzdata 2023.3 uritemplate 4.1.1 urllib3 2.0.7 wheel 0.41.3 xarray 2023.10.1 xee 0.0.2 yarl 1.9.2

conda list

# packages in environment at /Users/tylere/mambaforge/envs/xee-test: # # Name Version Build Channel affine 2.4.0 pyhd8ed1ab_0 conda-forge aiohttp 3.8.6 py311h05b510d_1 conda-forge aiosignal 1.3.1 pyhd8ed1ab_0 conda-forge async-timeout 4.0.3 pyhd8ed1ab_0 conda-forge attrs 23.1.0 pyh71513ae_1 conda-forge brotli-python 1.1.0 py311ha891d26_1 conda-forge bzip2 1.0.8 h93a5062_5 conda-forge c-ares 1.21.0 h93a5062_0 conda-forge ca-certificates 2023.7.22 hf0a4a13_0 conda-forge cachetools 5.3.2 pyhd8ed1ab_0 conda-forge certifi 2023.7.22 pyhd8ed1ab_0 conda-forge cffi 1.16.0 py311h4a08483_0 conda-forge charset-normalizer 3.3.2 pyhd8ed1ab_0 conda-forge cryptography 41.0.5 py311h71175c2_0 conda-forge earthengine-api 0.1.377 pyhd8ed1ab_0 conda-forge frozenlist 1.4.0 py311heffc1b2_1 conda-forge google-api-core 2.12.0 pyhd8ed1ab_0 conda-forge google-api-python-client 2.106.0 pyhd8ed1ab_0 conda-forge google-auth 2.23.4 pyhca7485f_0 conda-forge google-auth-httplib2 0.1.1 pyhd8ed1ab_0 conda-forge google-cloud-core 2.3.3 pyhd8ed1ab_0 conda-forge google-cloud-storage 2.13.0 pyhca7485f_0 conda-forge google-crc32c 1.1.2 py311h533d1a3_5 conda-forge google-resumable-media 2.6.0 pyhd8ed1ab_0 conda-forge googleapis-common-protos 1.61.0 pyhd8ed1ab_0 conda-forge grpcio 1.59.2 py311h79dd126_0 conda-forge httplib2 0.22.0 pyhd8ed1ab_0 conda-forge idna 3.4 pyhd8ed1ab_0 conda-forge krb5 1.21.2 h92f50d5_0 conda-forge lerc 4.0.0 h9a09cb3_0 conda-forge libabseil 20230802.1 cxx17_h13dd4ca_0 conda-forge libblas 3.9.0 19_osxarm64_openblas conda-forge libcblas 3.9.0 19_osxarm64_openblas conda-forge libcrc32c 1.1.2 hbdafb3b_0 conda-forge libcurl 8.4.0 h2d989ff_0 conda-forge libcxx 16.0.6 h4653b0c_0 conda-forge libdeflate 1.19 hb547adb_0 conda-forge libedit 3.1.20191231 hc8eb9b7_2 conda-forge libev 4.33 h642e427_1 conda-forge libexpat 2.5.0 hb7217d7_1 conda-forge libffi 3.4.2 h3422bc3_5 conda-forge libgfortran 5.0.0 13_2_0_hd922786_1 conda-forge libgfortran5 13.2.0 hf226fd6_1 conda-forge libgrpc 1.59.2 hbcf6334_0 conda-forge libjpeg-turbo 3.0.0 hb547adb_1 conda-forge liblapack 3.9.0 19_osxarm64_openblas conda-forge libnghttp2 1.55.1 h2b02ca0_0 conda-forge libopenblas 0.3.24 openmp_hd76b1f2_0 conda-forge libprotobuf 4.24.4 hc9861d8_0 conda-forge libre2-11 2023.06.02 h1753957_0 conda-forge libsqlite 3.44.0 h091b4b1_0 conda-forge libssh2 1.11.0 h7a5bd25_0 conda-forge libtiff 4.6.0 ha8a6c65_2 conda-forge libwebp-base 1.3.2 hb547adb_0 conda-forge libzlib 1.2.13 h53f4e23_5 conda-forge llvm-openmp 17.0.4 hcd81f8e_0 conda-forge multidict 6.0.4 py311he2be06e_1 conda-forge ncurses 6.4 h463b476_2 conda-forge numpy 1.26.0 py311hb8f3215_0 conda-forge openssl 3.1.4 h0d3ecfb_0 conda-forge packaging 23.2 pyhd8ed1ab_0 conda-forge pandas 2.1.2 py311h6e08293_0 conda-forge pip 23.3.1 pyhd8ed1ab_0 conda-forge proj 9.3.0 h52fb9d0_2 conda-forge protobuf 4.24.4 py311h4d1eceb_0 conda-forge pyasn1 0.5.0 pyhd8ed1ab_0 conda-forge pyasn1-modules 0.3.0 pyhd8ed1ab_0 conda-forge pycparser 2.21 pyhd8ed1ab_0 conda-forge pyopenssl 23.3.0 pyhd8ed1ab_0 conda-forge pyparsing 3.1.1 pyhd8ed1ab_0 conda-forge pyproj 3.6.1 py311h20a9b75_4 conda-forge pysocks 1.7.1 pyha2e5f31_6 conda-forge python 3.11.6 h47c9636_0_cpython conda-forge python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge python-tzdata 2023.3 pyhd8ed1ab_0 conda-forge python_abi 3.11 4_cp311 conda-forge pytz 2023.3.post1 pyhd8ed1ab_0 conda-forge pyu2f 0.1.5 pyhd8ed1ab_0 conda-forge re2 2023.06.02 h6135d0a_0 conda-forge readline 8.2 h92ec313_1 conda-forge requests 2.31.0 pyhd8ed1ab_0 conda-forge rsa 4.9 pyhd8ed1ab_0 conda-forge setuptools 68.2.2 pyhd8ed1ab_0 conda-forge six 1.16.0 pyh6c4a22f_0 conda-forge sqlite 3.44.0 hf2abe2d_0 conda-forge tk 8.6.13 h5083fa2_1 conda-forge typing-extensions 4.8.0 hd8ed1ab_0 conda-forge typing_extensions 4.8.0 pyha770c72_0 conda-forge tzdata 2023c h71feb2d_0 conda-forge uritemplate 4.1.1 pyhd8ed1ab_0 conda-forge urllib3 2.0.7 pyhd8ed1ab_0 conda-forge wheel 0.41.3 pyhd8ed1ab_0 conda-forge xarray 2023.10.1 pyhd8ed1ab_0 conda-forge xee 0.0.2 pyhd8ed1ab_0 conda-forge xz 5.2.6 h57fd34a_0 conda-forge yarl 1.9.2 py311h05b510d_1 conda-forge zstd 1.5.5 h4f39d0f_0 conda-forge

[naschmitz]

Closing this as fixed. I haven't mirrored your setup directly, but I fixed this dependency issue for integration tests in #94.