[
https://issues.apache.org/jira/browse/ARROW-16437?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Timothy Luna updated ARROW-16437:
---------------------------------
Description:
#
## Unable to use moto to mock S3 for testing purposes.
I've been using AWSWrangler as a loading utility in a custom application and am
attempting to remove it as a dependency because PyArrow Dataset is capable of
providing all the s3 functionality I need.
The issue stems from the fact that when PyArrow attempts to determine the
FileSystem type it appears to be sidestepping moto and is failing with:
{code:java}
============================================================================================================================
FAILURES
============================================================================================================================
_____________________________________________________________________________________________________________________
test__pull_cached_data
_____________________________________________________________________________________________________________________
@pytest.mark.usefixtures("s3") def test__pull_cached_data():
"""Tests pull cached data, both happy and sad.""" # Here we're going to
make a folder, transfer in some files, # and pull them! with
tempfile.TemporaryDirectory() as t: # This commented code
functions. # from awswrangler.s3 import read_parquet #
sillything = read_parquet('s3://test-bucket/test_metadata.parquet') >
a = ds.dataset('s3://test-bucket/test_metadata.parquet')
tests/custom_application/loading/test_load.py:156: _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/usr/local/lib/python3.9/site-packages/pyarrow/dataset.py:667: in dataset
return _filesystem_dataset(source, **kwargs)
/usr/local/lib/python3.9/site-packages/pyarrow/dataset.py:412: in
_filesystem_dataset fs, paths_or_selector = _ensure_single_source(source,
filesystem) /usr/local/lib/python3.9/site-packages/pyarrow/dataset.py:373: in
_ensure_single_source filesystem, path = _resolve_filesystem_and_path(path,
filesystem) /usr/local/lib/python3.9/site-packages/pyarrow/fs.py:179: in
_resolve_filesystem_and_path filesystem, path = FileSystem.from_uri(path)
pyarrow/_fs.pyx:350: in pyarrow._fs.FileSystem.from_uri ???
pyarrow/error.pxi:143: in pyarrow.lib.pyarrow_internal_check_status ??? _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ > ??? E OSError: When resolving region for bucket
'test-bucket': AWS Error [code 99]: curlCode: 35, SSL connect error
pyarrow/error.pxi:114: OSError
---------------------------------------------------------------------------------------------------------------------
Captured stderr setup
----------------------------------------------------------------------------------------------------------------------
INFO:botocore.credentials:Found credentials in environment variables.
-----------------------------------------------------------------------------------------------------------------------
Captured log setup
-----------------------------------------------------------------------------------------------------------------------
INFO botocore.credentials:credentials.py:1114 Found credentials in
environment variables.
====================================================================================================================
short test summary info
=====================================================================================================================
FAILED tests/custom_application/loading/test_load.py::test__pull_cached_data -
OSError: When resolving region for bucket 'test-bucket': AWS Error [code 99]:
curlCode: 35, SSL connect error
=======================================================================================================================
1 failed in 17.82s
======================================================================================================================={code}
(Trying to format shell output appropriately, please bear with me.)
Please let me know if you need additional information!
was:
#
## Unable to use moto to mock S3 for testing purposes.
I've been using AWSWrangler as a loading utility in a custom application and am
attempting to remove it as a dependency because PyArrow Dataset is capable of
providing all the s3 functionality I need.
The issue stems from the fact that when PyArrow attempts to determine the
FileSystem type it appears to be sidestepping moto and is failing with:
{code:java}
============================================================================================================================
FAILURES
============================================================================================================================
_____________________________________________________________________________________________________________________
test__pull_cached_data
_____________________________________________________________________________________________________________________
@pytest.mark.usefixtures("s3") def test__pull_cached_data():
"""Tests pull cached data, both happy and sad.""" # Here we're going to
make a folder, transfer in some files, # and pull them! with
tempfile.TemporaryDirectory() as t: # This commented code
functions. # from awswrangler.s3 import read_parquet #
sillything = read_parquet('s3://test-bucket/test_metadata.parquet') >
a = ds.dataset('s3://test-bucket/test_metadata.parquet')
tests/custom_application/loading/test_load.py:156: _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/usr/local/lib/python3.9/site-packages/pyarrow/dataset.py:667: in dataset
return _filesystem_dataset(source, **kwargs)
/usr/local/lib/python3.9/site-packages/pyarrow/dataset.py:412: in
_filesystem_dataset fs, paths_or_selector = _ensure_single_source(source,
filesystem) /usr/local/lib/python3.9/site-packages/pyarrow/dataset.py:373: in
_ensure_single_source filesystem, path = _resolve_filesystem_and_path(path,
filesystem) /usr/local/lib/python3.9/site-packages/pyarrow/fs.py:179: in
_resolve_filesystem_and_path filesystem, path = FileSystem.from_uri(path)
pyarrow/_fs.pyx:350: in pyarrow._fs.FileSystem.from_uri ???
pyarrow/error.pxi:143: in pyarrow.lib.pyarrow_internal_check_status ??? _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ > ??? E OSError: When resolving region for bucket
'test-bucket': AWS Error [code 99]: curlCode: 35, SSL connect error
pyarrow/error.pxi:114: OSError
---------------------------------------------------------------------------------------------------------------------
Captured stderr setup
----------------------------------------------------------------------------------------------------------------------
INFO:botocore.credentials:Found credentials in environment variables.
-----------------------------------------------------------------------------------------------------------------------
Captured log setup
-----------------------------------------------------------------------------------------------------------------------
INFO botocore.credentials:credentials.py:1114 Found credentials in
environment variables.
====================================================================================================================
short test summary info
=====================================================================================================================
FAILED tests/custom_application/loading/test_load.py::test__pull_cached_data -
OSError: When resolving region for bucket 'test-bucket': AWS Error [code 99]:
curlCode: 35, SSL connect error
=======================================================================================================================
1 failed in 17.82s
======================================================================================================================={code}
Please let me know if you need additional information!
> [Python] Mocking tests with moto not currently feasible.
> --------------------------------------------------------
>
> Key: ARROW-16437
> URL: https://issues.apache.org/jira/browse/ARROW-16437
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Affects Versions: 7.0.0
> Environment: Ubuntu environment
> Python 3.9
> PyArrow 7.0.0
> moto 3.1.7
> Reporter: Timothy Luna
> Priority: Major
>
> #
> ## Unable to use moto to mock S3 for testing purposes.
>
> I've been using AWSWrangler as a loading utility in a custom application and
> am attempting to remove it as a dependency because PyArrow Dataset is capable
> of providing all the s3 functionality I need.
>
> The issue stems from the fact that when PyArrow attempts to determine the
> FileSystem type it appears to be sidestepping moto and is failing with:
>
> {code:java}
> ============================================================================================================================
> FAILURES
> ============================================================================================================================
>
> _____________________________________________________________________________________________________________________
> test__pull_cached_data
> _____________________________________________________________________________________________________________________
> @pytest.mark.usefixtures("s3") def test__pull_cached_data():
> """Tests pull cached data, both happy and sad.""" # Here we're going
> to make a folder, transfer in some files, # and pull them!
> with tempfile.TemporaryDirectory() as t: # This commented code
> functions. # from awswrangler.s3 import read_parquet
> # sillything = read_parquet('s3://test-bucket/test_metadata.parquet') >
> a = ds.dataset('s3://test-bucket/test_metadata.parquet')
> tests/custom_application/loading/test_load.py:156: _ _ _ _ _ _ _ _ _ _ _ _ _
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> /usr/local/lib/python3.9/site-packages/pyarrow/dataset.py:667: in dataset
> return _filesystem_dataset(source, **kwargs)
> /usr/local/lib/python3.9/site-packages/pyarrow/dataset.py:412: in
> _filesystem_dataset fs, paths_or_selector = _ensure_single_source(source,
> filesystem) /usr/local/lib/python3.9/site-packages/pyarrow/dataset.py:373: in
> _ensure_single_source filesystem, path =
> _resolve_filesystem_and_path(path, filesystem)
> /usr/local/lib/python3.9/site-packages/pyarrow/fs.py:179: in
> _resolve_filesystem_and_path filesystem, path = FileSystem.from_uri(path)
> pyarrow/_fs.pyx:350: in pyarrow._fs.FileSystem.from_uri ???
> pyarrow/error.pxi:143: in pyarrow.lib.pyarrow_internal_check_status ??? _
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _ _ _ _ _ _ _ _ _ _ _ > ??? E OSError: When resolving region for bucket
> 'test-bucket': AWS Error [code 99]: curlCode: 35, SSL connect error
> pyarrow/error.pxi:114: OSError
> ---------------------------------------------------------------------------------------------------------------------
> Captured stderr setup
> ----------------------------------------------------------------------------------------------------------------------
> INFO:botocore.credentials:Found credentials in environment variables.
> -----------------------------------------------------------------------------------------------------------------------
> Captured log setup
> -----------------------------------------------------------------------------------------------------------------------
> INFO botocore.credentials:credentials.py:1114 Found credentials in
> environment variables.
> ====================================================================================================================
> short test summary info
> =====================================================================================================================
> FAILED tests/custom_application/loading/test_load.py::test__pull_cached_data
> - OSError: When resolving region for bucket 'test-bucket': AWS Error [code
> 99]: curlCode: 35, SSL connect error
> =======================================================================================================================
> 1 failed in 17.82s
> ======================================================================================================================={code}
>
> (Trying to format shell output appropriately, please bear with me.)
> Please let me know if you need additional information!
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