fix: treat a naive datetime as UTC in order_by - #1352
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Fixes qdrant#1342 A naive datetime string is parsed as UTC (datetime_utils.parse says so explicitly, matching qdrant core), but a naive datetime *object* went straight to timestamp(), which reads it as local time. The same wall clock therefore produced two different order values: to_order_value("2024-06-15 12:30:45") 1718454645000000 to_order_value(datetime(2024, 6, 15, 12, 30, 45)) 1718434845000000 The gap is the client machine's UTC offset, so local-mode ordering depended on where the client ran. Attach UTC to a naive datetime in to_order_value, so both spellings and the aware-UTC form agree. Aware datetimes keep their own offset. Done in to_order_value rather than datetime_to_microseconds to stay off qdrant#1310, which is rewriting that function for an unrelated precision fix.
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Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: 🔵 Low · up to The change makes naive datetime objects use UTC for consistent ordering, but the regression test may not reliably catch the original issue when run on a UTC machine. The PR is mergeable with explicit follow-up to make the timezone-dependent test deterministic. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
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Inline comments:
In `@qdrant_client/local/order_by.py`:
- Around line 22-27: Update the datetime normalization in the order-by value
conversion to treat a value as naive when either tzinfo is absent or
value.utcoffset() returns None, assigning timezone.utc before timestamp() is
called. Add a regression test in test_order_by_tz.py using a custom tzinfo with
utcoffset() returning None.
In `@tests/test_order_by_tz.py`:
- Around line 6-16: Update test_naive_datetime_is_utc_like_a_naive_string to
execute under a non-UTC TZ setting, restoring the process timezone afterward so
the test remains isolated. Preserve the existing equality assertion across
string, naive datetime, and UTC-aware datetime values.
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qdrant_client/local/order_by.pytests/test_order_by_tz.py
Included review availability: Your plan includes up to 4 reviews per rolling hour; 3 remain after this review.
A datetime is aware only when tzinfo is set and utcoffset() returns an offset. Checking tzinfo alone let a tzinfo whose utcoffset() returns None reach timestamp(), which raised TypeError rather than ordering the value. Check both, per the CodeRabbit review.
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Good catch from the bot review, and it's a real one — fixed in A datetime is aware only when class NoOffset(tzinfo):
def utcoffset(self, dt): return None
to_order_value(datetime(2024, 6, 15, 12, 30, 45, tzinfo=NoOffset()))
# TypeError: can't subtract offset-naive and offset-aware datetimesNow checks both conditions, so such a value is treated as naive and normalised to UTC like any other naive datetime. Added |
On a UTC host, timestamp() on a naive datetime agrees with the UTC interpretation, so the value-only assertion passed even without the normalization -- the regression was only failing because the author's machine is UTC+5:30. Spy on what reaches datetime_to_microseconds and assert the tzinfo instead, which fails on any host timezone. Raised by the CodeRabbit review.
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Second review point addressed in You're right that the regression was host-dependent. On a UTC runner, Replaced it with an assertion on the normalization itself rather than the resulting number: spy on what reaches monkeypatch.setattr(order_by_module, "datetime_to_microseconds", spy)
order_by_module.to_order_value(datetime(2024, 6, 15, 12, 30, 45))
assert seen["tzinfo"] is timezone.utc
assert seen["utcoffset"] == timedelta(0)That fails on any host timezone. I verified by removing the normalization from The value-comparison tests are kept as documentation of the intended equivalence, with the spy test as the actual guard. |
- The year-9999 error is up to ~32us (float64 ULP at that magnitude), not a full second as the comment claimed - verified empirically and corrected per @shashvat-singham's review. - Check dt.utcoffset() is None instead of dt.tzinfo is None to detect naive datetimes: a tzinfo subclass can be attached while still reporting no offset, which the old check would misclassify as aware and crash on `dt - _EPOCH` (TypeError: can't subtract offset-naive and offset-aware datetimes). Per @coderabbitai's review. - Added a regression test for the tzinfo-subclass case, confirmed it fails against the old check and passes with the fix. The naive-datetime-as-local-vs-UTC inconsistency raised in the same review is intentionally left out of this PR - qdrant#1352 already fixes it independently to avoid the two PRs conflicting.
1 participant
Fixes #1342
Problem
A naive datetime string is parsed as UTC —
datetime_utils.parsesays so explicitly ("Assume UTC if no timezone is provided"), matching qdrant core. A naive datetime object goes straight totimestamp(), which interprets it as local time. So the same wall clock produces two different order values:The string and the aware-UTC object agree; only the naive object diverges, by exactly the client machine's UTC offset (19800s on this box, IST). That makes local-mode
order_byresults depend on where the client runs — the same data and the same code sort differently on a laptop in India and a CI runner in UTC.Change
Attach UTC to a naive datetime in
to_order_value, so all three spellings agree. Aware datetimes are untouched and keep their own offset:Why here and not in
datetime_to_microsecondsThat would be the more natural home, but #1310 is currently rewriting
datetime_to_microsecondsfor an unrelated float-precision fix. Putting this into_order_valuekeeps the two changes on separate lines so they can land in either order without conflicting. Happy to move it down if #1310 lands first and you'd prefer it there.Tests
tests/test_order_by_tz.py— the string/naive/aware agreement (fails ondev), that an aware offset is still honoured, and thatNone/int/float/unparseable inputs are unchanged.ruff-format --line-length=99is clean.