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Fix: Set the document modified dates to hopefully prevent this flake. Good across 30 runs at least

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stumpylog
2026-08-05 13:49:51 -07:00
parent 47727de116
commit bc674f7fa9
1 changed files with 46 additions and 27 deletions
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src/documents/tests/test_api_search.py
+46 -27
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@@ -1057,33 +1057,52 @@ class TestDocumentSearchApi(DirectoriesMixin, APITestCase):
THEN:
- The similar documents are returned from the API request
"""
# Distinct created/added dates: documents created at the same instant
# share a timestamp term, and more_like_this (which cannot be scoped to
# content fields) would then match on it, surfacing unrelated documents.
d1 = DocumentFactory(
title="invoice",
content="the thing i bought at a shop and paid with bank account",
created=datetime.date(2018, 1, 1),
added=timezone.make_aware(datetime.datetime(2018, 1, 1)),
)
d2 = DocumentFactory(
title="bank statement 1",
content="things i paid for in august",
created=datetime.date(2019, 3, 4),
added=timezone.make_aware(datetime.datetime(2019, 3, 4)),
)
d3 = DocumentFactory(
title="bank statement 3",
content="things i paid for in september",
created=datetime.date(2020, 7, 9),
added=timezone.make_aware(datetime.datetime(2020, 7, 9)),
)
d4 = DocumentFactory(
title="Quarterly Report",
content="quarterly revenue profit margin earnings growth",
created=datetime.date(2021, 11, 30),
added=timezone.make_aware(datetime.datetime(2021, 11, 30)),
)
# Distinct created/added/modified dates: documents sharing a timestamp
# term (down to the second) would be matched on it by more_like_this
# (which cannot be scoped to content fields), surfacing unrelated
# documents. `modified` is auto_now, so it can't be set via factory
# kwargs like created/added - freeze time per document instead so all
# three date fields land on distinct seconds.
with time_machine.travel(
timezone.make_aware(datetime.datetime(2018, 1, 1)),
tick=False,
):
d1 = DocumentFactory(
title="invoice",
content="the thing i bought at a shop and paid with bank account",
created=datetime.date(2018, 1, 1),
added=timezone.make_aware(datetime.datetime(2018, 1, 1)),
)
with time_machine.travel(
timezone.make_aware(datetime.datetime(2019, 3, 4)),
tick=False,
):
d2 = DocumentFactory(
title="bank statement 1",
content="things i paid for in august",
created=datetime.date(2019, 3, 4),
added=timezone.make_aware(datetime.datetime(2019, 3, 4)),
)
with time_machine.travel(
timezone.make_aware(datetime.datetime(2020, 7, 9)),
tick=False,
):
d3 = DocumentFactory(
title="bank statement 3",
content="things i paid for in september",
created=datetime.date(2020, 7, 9),
added=timezone.make_aware(datetime.datetime(2020, 7, 9)),
)
with time_machine.travel(
timezone.make_aware(datetime.datetime(2021, 11, 30)),
tick=False,
):
d4 = DocumentFactory(
title="Quarterly Report",
content="quarterly revenue profit margin earnings growth",
created=datetime.date(2021, 11, 30),
added=timezone.make_aware(datetime.datetime(2021, 11, 30)),
)
backend = get_backend()
backend.add_or_update(d1)
backend.add_or_update(d2)