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Hi! This is the friendly automated conda-forge-linting service.
I just wanted to let you know that I linted all conda-recipes in your PR (recipes/openeo) and found it was in an excellent condition.
Great, tests are now passing for both Linux and OSX.
Is there an interest in supporting Windows as well?
Hi! This is the friendly automated conda-forge-webservice.
I was asked to ping @conda-forge/staged-recipes and so here I am doing that.
Hi @dopplershift
Could you confirm whether this recipe can be merged, please?
Best regards, Sebastian
Update: testing version v0.9.2 of openEO python client on Windows produces:
FAILED tests/test_util.py::test_get_user_config_dir - AssertionError: assert ...
FAILED tests/test_util.py::test_get_user_data_dir - AssertionError: assert Wi...
FAILED tests/rest/auth/test_cli.py::test_paths - AssertionError: assert '/aut...
FAILED tests/rest/auth/test_config.py::TestPrivateJsonFile::test_permissions
FAILED tests/rest/auth/test_config.py::TestPrivateJsonFile::test_wrong_permissions
FAILED tests/rest/auth/test_config.py::TestRefreshTokenStorage::test_public_file
FAILED tests/rest/auth/test_config.py::TestRefreshTokenStorage::test_permissions
See the details here.
Linux and OSX builds are passing the tests.
Update: testing version v0.10.0 on Windows produces:
FAILED tests/test_config.py::test_get_user_config_dir - AssertionError: asser...
FAILED tests/test_config.py::test_get_user_data_dir - AssertionError: assert ...
FAILED tests/test_config.py::test_get_config_verbose[print-False-True] - re.e...
FAILED tests/test_config.py::test_get_config_verbose[print-True-True] - re.er...
FAILED tests/test_config.py::test_get_config_verbose[auto-False-False] - re.e...
FAILED tests/test_config.py::test_get_config_verbose[auto-True-True] - re.err...
FAILED tests/test_config.py::test_get_config_verbose[off-False-False] - re.er...
FAILED tests/test_config.py::test_get_config_verbose[off-True-False] - re.err...
FAILED tests/rest/auth/test_cli.py::test_paths - AssertionError: assert '/aut...
FAILED tests/rest/auth/test_config.py::TestPrivateJsonFile::test_permissions
FAILED tests/rest/auth/test_config.py::TestPrivateJsonFile::test_wrong_permissions
FAILED tests/rest/auth/test_config.py::TestRefreshTokenStorage::test_public_file
FAILED tests/rest/auth/test_config.py::TestRefreshTokenStorage::test_permissions
See details here.
Linux and OSX builds are passing the tests.
Update: testing version v0.10.1 on Windows produces:
FAILED tests/test_config.py::test_get_user_config_dir - AssertionError: asser...
FAILED tests/test_config.py::test_get_user_data_dir - AssertionError: assert ...
FAILED tests/test_config.py::test_get_config_verbose[print-False-True] - re.e...
FAILED tests/test_config.py::test_get_config_verbose[print-True-True] - re.er...
FAILED tests/test_config.py::test_get_config_verbose[auto-False-False] - re.e...
FAILED tests/test_config.py::test_get_config_verbose[auto-True-True] - re.err...
FAILED tests/test_config.py::test_get_config_verbose[off-False-False] - re.er...
FAILED tests/test_config.py::test_get_config_verbose[off-True-False] - re.err...
FAILED tests/rest/auth/test_cli.py::test_paths - AssertionError: assert '/aut...
FAILED tests/rest/auth/test_config.py::TestPrivateJsonFile::test_permissions
FAILED tests/rest/auth/test_config.py::TestPrivateJsonFile::test_wrong_permissions
FAILED tests/rest/auth/test_config.py::TestRefreshTokenStorage::test_public_file
FAILED tests/rest/auth/test_config.py::TestRefreshTokenStorage::test_permissions
See details here.
Linux and OSX builds are passing the tests.
Below are the results of the tests for v0.11.0.
Linux tests are now failing with:
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf]
OSX tests are now failing with:
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf]
Windows tests are failing with:
FAILED tests/test_config.py::test_get_user_config_dir - AssertionError: asser...
FAILED tests/test_config.py::test_get_user_data_dir - AssertionError: assert ...
FAILED tests/test_config.py::test_get_config_verbose[print-False-True] - re.e...
FAILED tests/test_config.py::test_get_config_verbose[print-True-True] - re.er...
FAILED tests/test_config.py::test_get_config_verbose[auto-False-False] - re.e...
FAILED tests/test_config.py::test_get_config_verbose[auto-True-True] - re.err...
FAILED tests/test_config.py::test_get_config_verbose[off-False-False] - re.er...
FAILED tests/test_config.py::test_get_config_verbose[off-True-False] - re.err...
FAILED tests/rest/auth/test_cli.py::test_paths - AssertionError: assert '/aut...
FAILED tests/rest/auth/test_config.py::TestPrivateJsonFile::test_permissions
FAILED tests/rest/auth/test_config.py::TestPrivateJsonFile::test_wrong_permissions
FAILED tests/rest/auth/test_config.py::TestRefreshTokenStorage::test_public_file
FAILED tests/rest/auth/test_config.py::TestRefreshTokenStorage::test_permissions
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf]
Below are the results of the tests for v0.12.0.
Linux tests:
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf]
OSX tests:
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf]
Windows tests:
FAILED tests/test_config.py::test_get_user_config_dir - AssertionError: asser...
FAILED tests/test_config.py::test_get_user_data_dir - AssertionError: assert ...
FAILED tests/test_config.py::test_get_config_verbose[print-False-True] - re.e...
FAILED tests/test_config.py::test_get_config_verbose[print-True-True] - re.er...
FAILED tests/test_config.py::test_get_config_verbose[auto-False-False] - re.e...
FAILED tests/test_config.py::test_get_config_verbose[auto-True-True] - re.err...
FAILED tests/test_config.py::test_get_config_verbose[off-False-False] - re.er...
FAILED tests/test_config.py::test_get_config_verbose[off-True-False] - re.err...
FAILED tests/rest/auth/test_cli.py::test_paths - AssertionError: assert '/aut...
FAILED tests/rest/auth/test_config.py::TestPrivateJsonFile::test_permissions
FAILED tests/rest/auth/test_config.py::TestPrivateJsonFile::test_wrong_permissions
FAILED tests/rest/auth/test_config.py::TestRefreshTokenStorage::test_public_file
FAILED tests/rest/auth/test_config.py::TestRefreshTokenStorage::test_permissions
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf]
The results for the tests for v0.12.1 are the same as for v0.12.0
FYI, as noted in https://github.com/Open-EO/openeo-python-client/issues/176 : Windows unit test support should now be fixed.
Fixes are merged in master branch, but not yet in a release (will be 0.13.1 probably)
refs: https://github.com/Open-EO/openeo-python-client/issues/198, https://github.com/Open-EO/openeo-python-client/issues/350, https://github.com/Open-EO/openeo-python-client/pull/354, https://github.com/Open-EO/openeo-python-client/pull/351
Hi! This is the friendly automated conda-forge-linting service.
I just wanted to let you know that I linted all conda-recipes in your PR (recipes/openeo) and found it was in an excellent condition.
![conda-forge-webservices[bot] avatar](https://avatars.githubusercontent.com/in/277340?v=4 "Published by a pub.dev verified publisher"){kind=small}
Thanks!
I just rebuilt using the master branch and here are the results.
Linux tests:
=========================== short test summary info ============================
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf] - AssertionError: assert dtype('int32') == <class 'numpy.int64'>
+ where dtype('int32') = <xarray.DataArray (t: 3, bands: 2, x: 4, y: 5)>\narray([[[[ 0, 1, 2, 3, 4],\n [ 10, 11, 12, ...nt32 5 6 7 8 9\n * x (x) int32 2 3 4 5\n * t (t) int32 2019 2020 2021\n * bands (bands) object 'a' 'b'.dtype
+ where <xarray.DataArray (t: 3, bands: 2, x: 4, y: 5)>\narray([[[[ 0, 1, 2, 3, 4],\n [ 10, 11, 12, ...nt32 5 6 7 8 9\n * x (x) int32 2 3 4 5\n * t (t) int32 2019 2020 2021\n * bands (bands) object 'a' 'b' = <XarrayDataCube shape:(3, 2, 4, 5)>.array
+ and <class 'numpy.int64'> = numpy.int64
========== 1 failed, 1262 passed, 17 skipped, 190 warnings in 14.68s ===========
Tests failed for openeo-0.13.0-py310hff52083_0.conda - moving package to /home/conda/staged-recipes/build_artifacts/broken
WARNING:conda_build.build:Tests failed for openeo-0.13.0-py310hff52083_0.conda - moving package to /home/conda/staged-recipes/build_artifacts/broken
TESTS FAILED: openeo-0.13.0-py310hff52083_0.conda
OSX tests:
=========================== short test summary info ============================
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf] - AssertionError: assert dtype('int32') == <class 'numpy.int64'>
+ where dtype('int32') = <xarray.DataArray (t: 3, bands: 2, x: 4, y: 5)>\narray([[[[ 0, 1, 2, 3, 4],\n [ 10, 11, 12, ...nt32 5 6 7 8 9\n * x (x) int32 2 3 4 5\n * t (t) int32 2019 2020 2021\n * bands (bands) object 'a' 'b'.dtype
+ where <xarray.DataArray (t: 3, bands: 2, x: 4, y: 5)>\narray([[[[ 0, 1, 2, 3, 4],\n [ 10, 11, 12, ...nt32 5 6 7 8 9\n * x (x) int32 2 3 4 5\n * t (t) int32 2019 2020 2021\n * bands (bands) object 'a' 'b' = <XarrayDataCube shape:(3, 2, 4, 5)>.array
+ and <class 'numpy.int64'> = numpy.int64
===== 1 failed, 1262 passed, 17 skipped, 190 warnings in 61.09s (0:01:01) ======
Tests failed for openeo-0.13.0-py39h6e9494a_0.conda - moving package to /Users/runner/mambaforge/conda-bld/broken
WARNING:conda_build.build:Tests failed for openeo-0.13.0-py39h6e9494a_0.conda - moving package to /Users/runner/mambaforge/conda-bld/broken
TESTS FAILED: openeo-0.13.0-py39h6e9494a_0.conda
Windows tests:
(%PREFIX%) %SRC_DIR%>pip check
openeo 0.13.1a3 requires oschmod, which is not installed.
(%PREFIX%) %SRC_DIR%>IF 1 NEQ 0 exit /B 1
(%PREFIX%) %SRC_DIR%>IF 1 NEQ 0 exit /B 1
Tests failed for openeo-0.13.0-py38haa244fe_0.conda - moving package to C:\bld\broken
WARNING:conda_build.build:Tests failed for openeo-0.13.0-py38haa244fe_0.conda - moving package to C:\bld\broken
TESTS FAILED: openeo-0.13.0-py38haa244fe_0.conda
Hmm at the moment, I can not reproduce that failure on linux/mac. My current guess is the recipe adds some additional dependencies that are optional for xarray and change the behavior a bit.
regarding:
(%PREFIX%) %SRC_DIR%>pip check openeo 0.13.1a3 requires oschmod, which is not installed.
the oshmod package is a new dependency, required for windows (and optional for linux/mac). I guess this has to be added to the recipe
Hi! This is the friendly automated conda-forge-linting service.
I wanted to let you know that I linted all conda-recipes in your PR (recipes/openeo) and found some lint.
Here's what I've got...
For recipes/openeo:
- Failed to even lint the recipe, probably because of a conda-smithy bug :cry:. This likely indicates a problem in your
meta.yaml, though. To get a traceback to help figure out what's going on, install conda-smithy and runconda smithy recipe-lint .from the recipe directory.
oschmod is only available with pip which cannot be included in the conda recipe.
Adding a conda recipe:
- https://github.com/YakDriver/oschmod/issues/115
- https://github.com/conda-forge/staged-recipes/pull/21692
Hmm at the moment, I can not reproduce that failure on linux/mac. My current guess is the recipe adds some additional dependencies that are optional for xarray and change the behavior a bit.
Could you please narrow down the difference so we can replicate your environment here?
I finetuned those failing linux/mac tests under https://github.com/Open-EO/openeo-python-client/issues/359 which hopefully should clarify better what is going on here (made save/load netcdf engines more explicit in tests)
can you try to rerun with latest master?
Hi! This is the friendly automated conda-forge-linting service.
I just wanted to let you know that I linted all conda-recipes in your PR (recipes/openeo) and found it was in an excellent condition.
Here is the new output:
FAILED tests/udf/test_xarraydatacube.py::test_save_load_full[netcdf-h5netcdf-scipy] - TypeError: Error: /private/var/folders/24/8k48jl6d249_n_qfxwsl6xvm0000gn/T/pytest-of-runner/pytest-0/test_save_load_full_netcdf_h5n1/cube.netcdf is not a valid NetCDF 3 file
If this is a NetCDF4 file, you may need to install the
netcdf4 library, e.g.,
netcdf4 library, e.g.,
$ pip install netcdf4
FAILED tests/udf/test_xarraydatacube.py::test_save_load_no_time_dim[netcdf-scipy-h5netcdf] - OSError: Unable to open file (file signature not found)
FAILED tests/udf/test_xarraydatacube.py::test_save_load_no_xy_labels[netcdf-h5netcdf-scipy] - TypeError: Error: /private/var/folders/24/8k48jl6d249_n_qfxwsl6xvm0000gn/T/pytest-of-runner/pytest-0/test_save_load_no_xy_labels_ne2/cube.netcdf is not a valid NetCDF 3 file
If this is a NetCDF4 file, you may need to install the
netcdf4 library, e.g.,
$ pip install netcdf4
FAILED tests/udf/test_xarraydatacube.py::test_save_load_no_xy_labels[netcdf-scipy-h5netcdf] - OSError: Unable to open file (file signature not found)
FAILED tests/udf/test_xarraydatacube.py::test_save_load_no_xy_dim[netcdf-h5netcdf-scipy] - TypeError: Error: /private/var/folders/24/8k48jl6d249_n_qfxwsl6xvm0000gn/T/pytest-of-runner/pytest-0/test_save_load_no_xy_dim_netcd2/cube.netcdf is not a valid NetCDF 3 file
If this is a NetCDF4 file, you may need to install the
netcdf4 library, e.g.,
$ pip install netcdf4
FAILED tests/udf/test_xarraydatacube.py::test_save_load_no_xy_dim[netcdf-scipy-h5netcdf] - OSError: Unable to open file (file signature not found)
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf-defaults] - AssertionError: assert dtype('int32') == <class 'numpy.int64'>
+ where dtype('int32') = <xarray.DataArray (t: 3, bands: 2, x: 4, y: 5)>\narray([[[[ 0, 1, 2, 3, 4],\n [ 10, 11, 12, ...nt32 5 6 7 8 9\n * x (x) int32 2 3 4 5\n * t (t) int32 2019 2020 2021\n * bands (bands) object 'a' 'b'.dtype
+ where <xarray.DataArray (t: 3, bands: 2, x: 4, y: 5)>\narray([[[[ 0, 1, 2, 3, 4],\n [ 10, 11, 12, ...nt32 5 6 7 8 9\n * x (x) int32 2 3 4 5\n * t (t) int32 2019 2020 2021\n * bands (bands) object 'a' 'b' = <XarrayDataCube shape:(3, 2, 4, 5)>.array
+ and <class 'numpy.int64'> = numpy.int64
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf-h5netcdf-scipy] - TypeError: Error: /private/var/folders/24/8k48jl6d249_n_qfxwsl6xvm0000gn/T/pytest-of-runner/pytest-0/test_save_load_dtype_int64_net2/cube.netcdf is not a valid NetCDF 3 file
If this is a NetCDF4 file, you may need to install the
netcdf4 library, e.g.,
$ pip install netcdf4
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf-scipy-h5netcdf] - OSError: Unable to open file (file signature not found)
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf-scipy-scipy] - AssertionError: assert dtype('int32') == <class 'numpy.int64'>
+ where dtype('int32') = <xarray.DataArray (t: 3, bands: 2, x: 4, y: 5)>\narray([[[[ 0, 1, 2, 3, 4],\n [ 10, 11, 12, ...nt32 5 6 7 8 9\n * x (x) int32 2 3 4 5\n * t (t) int32 2019 2020 2021\n * bands (bands) object 'a' 'b'.dtype
+ where <xarray.DataArray (t: 3, bands: 2, x: 4, y: 5)>\narray([[[[ 0, 1, 2, 3, 4],\n [ 10, 11, 12, ...nt32 5 6 7 8 9\n * x (x) int32 2 3 4 5\n * t (t) int32 2019 2020 2021\n * bands (bands) object 'a' 'b' = <XarrayDataCube shape:(3, 2, 4, 5)>.array
+ and <class 'numpy.int64'> = numpy.int64
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_float64[netcdf-h5netcdf-scipy] - TypeError: Error: /private/var/folders/24/8k48jl6d249_n_qfxwsl6xvm0000gn/T/pytest-of-runner/pytest-0/test_save_load_dtype_float64_n2/cube.netcdf is not a valid NetCDF 3 file
If this is a NetCDF4 file, you may need to install the
netcdf4 library, e.g.,
$ pip install netcdf4
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_float64[netcdf-scipy-h5netcdf] - OSError: Unable to open file (file signature not found)
Should I simply add netcdf4 to the requirements to address these issues? If so, any specific version?
indeed, for our regular test runs we depend on netCDF4:
https://github.com/Open-EO/openeo-python-client/blob/d640bdeb796d438a42bef295089a025d14334168/setup.py#L24
If I understand correctly , it's this scipy engine that is causing the failures. Any idea why where scipy comes from, because I don't see it listed as dependency?
scipy is a dependency for geopandas, which is included in the list of dependencies for the tests.
Here is the output after adding netCDF4:
=========================== short test summary info ============================
FAILED tests/udf/test_xarraydatacube.py::test_save_load_full[netcdf-netcdf4-scipy] - TypeError: Error: /tmp/pytest-of-conda/pytest-0/test_save_load_full_netcdf_net2/cube.netcdf is not a valid NetCDF 3 file
If this is a NetCDF4 file, you may need to install the
netcdf4 library, e.g.,
FAILED tests/udf/test_xarraydatacube.py::test_save_load_no_xy_dim[netcdf-h5netcdf-scipy] - TypeError: Error: /tmp/pytest-of-conda/pytest-0/test_save_load_no_xy_dim_netcd6/cube.netcdf is not a valid NetCDF 3 file
If this is a NetCDF4 file, you may need to install the
netcdf4 library, e.g.,
$ pip install netcdf4
FAILED tests/udf/test_xarraydatacube.py::test_save_load_no_xy_dim[netcdf-scipy-h5netcdf] - OSError: Unable to open file (file signature not found)
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf-netcdf4-scipy] - TypeError: Error: /tmp/pytest-of-conda/pytest-0/test_save_load_dtype_int64_net3/cube.netcdf is not a valid NetCDF 3 file
If this is a NetCDF4 file, you may need to install the
netcdf4 library, e.g.,
$ pip install netcdf4
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf-h5netcdf-scipy] - TypeError: Error: /tmp/pytest-of-conda/pytest-0/test_save_load_dtype_int64_net6/cube.netcdf is not a valid NetCDF 3 file
If this is a NetCDF4 file, you may need to install the
netcdf4 library, e.g.,
$ pip install netcdf4
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf-scipy-netcdf4] - AssertionError: assert dtype('int32') == <class 'numpy.int64'>
+ where dtype('int32') = <xarray.DataArray (t: 3, bands: 2, x: 4, y: 5)>\narray([[[[ 0, 1, 2, 3, 4],\n [ 10, 11, 12, ...nt32 5 6 7 8 9\n * x (x) int32 2 3 4 5\n * t (t) int32 2019 2020 2021\n * bands (bands) object 'a' 'b'.dtype
+ where <xarray.DataArray (t: 3, bands: 2, x: 4, y: 5)>\narray([[[[ 0, 1, 2, 3, 4],\n [ 10, 11, 12, ...nt32 5 6 7 8 9\n * x (x) int32 2 3 4 5\n * t (t) int32 2019 2020 2021\n * bands (bands) object 'a' 'b' = <XarrayDataCube shape:(3, 2, 4, 5)>.array
+ and <class 'numpy.int64'> = numpy.int64
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf-scipy-h5netcdf] - OSError: Unable to open file (file signature not found)
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_int64[netcdf-scipy-scipy] - AssertionError: assert dtype('int32') == <class 'numpy.int64'>
+ where dtype('int32') = <xarray.DataArray (t: 3, bands: 2, x: 4, y: 5)>\narray([[[[ 0, 1, 2, 3, 4],\n [ 10, 11, 12, ...nt32 5 6 7 8 9\n * x (x) int32 2 3 4 5\n * t (t) int32 2019 2020 2021\n * bands (bands) object 'a' 'b'.dtype
+ where <xarray.DataArray (t: 3, bands: 2, x: 4, y: 5)>\narray([[[[ 0, 1, 2, 3, 4],\n [ 10, 11, 12, ...nt32 5 6 7 8 9\n * x (x) int32 2 3 4 5\n * t (t) int32 2019 2020 2021\n * bands (bands) object 'a' 'b' = <XarrayDataCube shape:(3, 2, 4, 5)>.array
+ and <class 'numpy.int64'> = numpy.int64
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_float64[netcdf-netcdf4-scipy] - TypeError: Error: /tmp/pytest-of-conda/pytest-0/test_save_load_dtype_float64_n3/cube.netcdf is not a valid NetCDF 3 file
If this is a NetCDF4 file, you may need to install the
netcdf4 library, e.g.,
$ pip install netcdf4
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_float64[netcdf-h5netcdf-scipy] - TypeError: Error: /tmp/pytest-of-conda/pytest-0/test_save_load_dtype_float64_n6/cube.netcdf is not a valid NetCDF 3 file
If this is a NetCDF4 file, you may need to install the
netcdf4 library, e.g.,
$ pip install netcdf4
FAILED tests/udf/test_xarraydatacube.py::test_save_load_dtype_float64[netcdf-scipy-h5netcdf] - OSError: Unable to open file (file signature not found)
========== 23 failed, 1305 passed, 44 skipped, 193 warnings in 15.35s ==========
@soxofaan could you please check test failures for v0.14.0 in:
https://dev.azure.com/conda-forge/84710dde-1620-425b-80d0-4cf5baca359d/_build/results?buildId=651255
and let me know what can I do to help?
Apparently it's the limited netcdf support of the scipy engine that is causing the issues.
scipy is a dependency for geopandas
FYI: in my local virtual env (and the github actions envs) scipy is not installed as dependency of geopandas. Is that a dependency introduced by conda?
as quickfix I'm going to blacklist the scipy netcdf engine for the tests