BUG: Fix loading files from S3 with # characters in URL (GH25945) #25992
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I believe the CI failures are due to my added test, which is causing s3fs to be imported due to importing the |
doc/source/whatsnew/v0.25.0.rst
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| - Bug in :func:`read_hdf` not properly closing store after a ``KeyError`` is raised (:issue:`25766`) | ||
| - Bug in ``read_csv`` which would not raise ``ValueError`` if a column index in ``usecols`` was out of bounds (:issue:`25623`) | ||
| - Improved :meth:`pandas.read_stata` and :class:`pandas.io.stata.StataReader` to read incorrectly formatted 118 format files saved by Stata (:issue:`25960`) | ||
| - Fixed bug in loading objects from S3 that contain # characters in the URL (:issue:`25945`) |
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use double-back ticks on the #. you can say this is in read_* routines such as :func:read_csv
pandas/tests/io/test_s3.py
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| def test_parse_s3_url_with_pound_sign(): |
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this is not a useful test, you need to mock the routines as above
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Thanks for the review. I have to disagree with you about this not being a useful test. It tests the buggy function, fails without the fix and passes with the fix. Can you provide any more hints about how I would mock this as you suggested? I can't see how to do it.
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look at any tests in pandas/tests/io//parser/test_network.py, you need to use the s3_resource fixture.
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Thanks, I believe I figured it out now. :) moto seems very nice, I hadn't heard of it before.
Codecov Report
@@ Coverage Diff @@
## master #25992 +/- ##
==========================================
- Coverage 91.82% 91.82% -0.01%
==========================================
Files 175 175
Lines 52539 52539
==========================================
- Hits 48246 48242 -4
- Misses 4293 4297 +4
Continue to review full report at Codecov.
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Codecov Report
@@ Coverage Diff @@
## master #25992 +/- ##
==========================================
- Coverage 91.84% 91.83% -0.01%
==========================================
Files 175 175
Lines 52517 52517
==========================================
- Hits 48232 48228 -4
- Misses 4285 4289 +4
Continue to review full report at Codecov.
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| assert ((0, 5505024) in {x.args[-2:] for x in caplog.records}) | ||
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| def test_read_s3_with_hash_in_key(self, tips_df): | ||
| df = read_csv('s3://pandas-test/tips#1.csv') |
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| def test_read_s3_with_hash_in_key(self, tips_df): | ||
| df = read_csv('s3://pandas-test/tips#1.csv') | ||
| assert isinstance(df, DataFrame) |
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you don't need either of these asserts, the assert_frame_equal covers this
| assert ((0, 5505024) in {x.args[-2:] for x in caplog.records}) | ||
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| def test_read_s3_with_hash_in_key(self, tips_df): | ||
| df = read_csv('s3://pandas-test/tips#1.csv') |
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can you add the issue number as a comment here
This fixes loading files with URLs such as s3://bucket/key#1.csv. The part from the # on was being lost because it was considered to be a URL fragment. The fix disables URL fragment parsing as it doesn't make sense for S3 URLs.
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Comments addressed. |
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great. ping on green. |
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Thanks @swt2c |
4 participants
This fixes loading files with URLs such as s3://bucket/key#1.csv. The part
from the # on was being lost because it was considered to be a URL fragment.
The fix disables URL fragment parsing as it doesn't make sense for S3 URLs.
git diff upstream/master -u -- "*.py" | flake8 --diff