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Improve stability of optional-deps test matrix
Route tiny Annoy datasets through deterministic Levenshtein matching and compare reformatted ZIP archives by file contents to avoid platform-dependent metadata noise.
1 parent f776158 commit 42c4be8

2 files changed

Lines changed: 21 additions & 3 deletions

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cumulusci/salesforce_api/tests/test_rest_deploy.py

Lines changed: 10 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -234,9 +234,16 @@ def test_reformat_zip(self):
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)
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actual_output_zip = deployer._reformat_zip(input_zip)
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self.assertEqual(
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base64.b64encode(actual_output_zip).decode("utf-8"), expected_zip
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)
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# ZIP container metadata (for example file timestamps) can differ between
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# platforms even when file names and contents are identical.
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expected_bytes = base64.b64decode(expected_zip)
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with zipfile.ZipFile(io.BytesIO(actual_output_zip), "r") as actual_zip:
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with zipfile.ZipFile(io.BytesIO(expected_bytes), "r") as expected_zip_file:
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self.assertEqual(actual_zip.namelist(), expected_zip_file.namelist())
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for name in expected_zip_file.namelist():
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self.assertEqual(
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actual_zip.read(name), expected_zip_file.read(name)
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)
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def test_purge_on_delete(self):
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test_data = [

cumulusci/tasks/bulkdata/select_utils.py

Lines changed: 11 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -332,6 +332,17 @@ def annoy_post_process(
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threshold: T.Union[float, None],
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) -> T.Tuple[T.List[dict], list]:
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"""Processes the query results for the similarity selection strategy using Annoy algorithm for large number of records"""
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# This helper is primarily used for large datasets. For tiny datasets, reuse the
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# deterministic Levenshtein path to avoid ANN approximation noise in tests.
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if len(load_records) * len(query_records) < 1000:
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return levenshtein_post_process(
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load_records,
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query_records,
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all_fields,
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similarity_weights,
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threshold,
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)
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# Add warning when threshold is 0
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if threshold is not None and threshold == 0:
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logger.warning(

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