fix(sdk): return NULL temporal values as missing in thrift results

[Harsh23Kashyap]

Fixes #3509

What problem does this PR solve?

The thrift client decoded date, time, datetime, timestamp and interval columns without looking at the null bitmap, so NULL cells came back as values like 1970-01-03 or 00:00:02. The HTTP client already returns None for them.

column_vector_to_list() now applies the bitmap in those five branches through a small apply_null_bitmap() helper, the same way the numeric and varchar branches already do.

Testing

Added test_null.py::TestNull::test_null_temporal_columns. It inserts one row with values and one row of NULLs, then checks that the NULL row reads back as missing.

Run against infiniflow/infinity:nightly-x64-v2 (v0.7.3):

• thrift, with the fix: passed on two runs
• --http, with the fix: passed on two runs
• thrift, with types.py from main: failed on two runs

Type of change

• Bug Fix (non-breaking change which fixes an issue)

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Reviewing files that changed from the base of the PR and between cdf3523 and 43506d0.

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• python/infinity_sdk/infinity/remote_thrift/types.py
• python/test_pysdk/test_null.py

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📝 Walkthrough

Walkthrough

The Thrift client now applies null bitmaps when it decodes temporal and selected vector-like columns. Matching NULL slots return pd.NA or None. Tests cover temporal and vector-like NULL values.

Changes

Thrift NULL decoding

Layer / File(s)	Summary
Decode temporal NULL slots python/infinity_sdk/infinity/remote_thrift/types.py, python/test_pysdk/test_null.py	Temporal dispatch passes null bitmaps to date, time, datetime, timestamp, and interval parsers. Matching NULL slots return pd.NA before raw-value conversion. DateTime and Timestamp use one bitmap entry per pair of integers. Tests cover temporal round trips and invalid raw values in NULL slots.
Mask NULL values in vector-like columns python/infinity_sdk/infinity/remote_thrift/types.py, python/test_pysdk/test_null.py	build_result applies null masking to embedding, multivector, tensor, tensor-array, sparse, and array columns. The round-trip test checks omitted embedding, sparse, and tensor values.

Priority: ➖ Normal

Estimated code review effort: 2 (Simple) | ~10 minutes

Change: Bug fix · Severity of issue fixed: Medium

Suggested reviewers: qinling0210

Merge Risk: ⚪ Minimal · up to 43506

NULL temporal and vector-like results now follow the intended missing-value behavior. No actionable merge blocker is established.

Security Architecture Review

Security architecture risk: 🔵 Low · up to 43506

Callers will receive missing values instead of fabricated temporal values or decoded vector-like values for matching NULL slots. No new access path or change to permissions was identified, but the observable result change and malformed-bitmap behavior warrant attention.

Retained concerns
No architecture-level concerns identified.

Security review details

Security Blast Radius

• inferred — The changed behavior is confined to interpretation of results returned through the existing Python Thrift client path; the cited changes do not add a caller, privilege, or service dependency.

Trust Boundaries and Controls

• observed — The decoder relies on the result's bitmap to identify NULL cells and applies the new masking only when its length matches the decoded cell count. This changes result interpretation, not authentication or authorization.

🚥 Pre-merge checks | ✅ 3 | ❌ 2

❌ Failed checks (2 warnings)

Check name	Status	Explanation	Resolution
Out of Scope Changes check	⚠️ Warning	The PR adds unrelated NULL handling for embedding, multivector, tensor, tensor-array, sparse, and array columns. Issue #3509 covers NULL date, time, datetime, and timestamp values. The vector and arra…	Limit this PR to the temporal NULL decoding required by issue #3509, or link and scope the additional vector and array NULL behavior to a relevant coding issue.
Docstring Coverage	⚠️ Warning	Docstring coverage is 33.33% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 12 functions across 2 files.	Write docstrings for the functions missing them to satisfy the coverage threshold.

✅ Passed checks (3 passed)

Check name	Status	Explanation
Linked Issues check	✅ Passed	The PR meets the coding requirements in issue #3509. column_vector_to_list passes null_bitmap to the date, time, datetime, timestamp, and interval parsers. The parsers return pd.NA for NULL slot…
Title check	✅ Passed	The title clearly describes the primary change: returning NULL temporal values as missing in Thrift results. It does not mention the later vector-column coverage, but it remains concise and directly r…
Description check	✅ Passed	The description is detailed and relevant. It explains the problem, solution, testing, affected clients, and change type. It does not use the template's exact "### Summary" heading, but it provides the…

Full details: Out of Scope Changes check

Explanation

The PR adds unrelated NULL handling for embedding, multivector, tensor, tensor-array, sparse, and array columns. Issue #3509 covers NULL date, time, datetime, and timestamp values. The vector and array changes are not required to implement that issue, although their tests support those additional changes.

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Actionable comments posted: 1

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Inline comments:
In `@python/infinity_sdk/infinity/remote_thrift/types.py`:
- Line 221: Update the date, datetime, and timestamp conversion branches so NULL
slots are masked before their raw values are parsed, preventing invalid bytes in
NULL slots from raising during conversion. Preserve the existing behavior of
returning pd.NA for NULL values; use the parse_date_bytes and apply_null_bitmap
flow as the reference for locating the affected branches.

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• python/test_pysdk/test_null.py

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[Harsh23Kashyap]

Pushed cdf3523 for the CodeRabbit note about NULL slots holding out-of-range bytes. It was a real problem: with a day count of 2**31 - 1 in a NULL slot, the previous commit still raised OverflowError: days=2147483647; must have magnitude <= 999999999 before the bitmap was applied.

The temporal parsers now take the bitmap and skip NULL slots before decoding them. I added test_thrift_null_temporal_slots_are_not_decoded, which builds the column bytes directly and needs no server. It fails on the previous commit with the OverflowError above and passes with this one (two runs each).

[Harsh23Kashyap]

Pushed 43506d0, which covers the other column types with the same problem. With the thrift client, a NULL embedding came back as a zero vector, a NULL sparse vector as {}, and NULL tensor and array values as []. The HTTP client returns None for all of them, and filter("<col> is null") matches the row. Output from the nightly server (v0.7.3):

thrift v:  [(2, [0.0, 0.0, 0.0, 0.0])]   http v:  [(2, None)]
thrift vi: [(2, [0, 0])]                 http vi: [(2, None)]
thrift sp: [(2, {})]                     http sp: [(2, None)]
thrift tn: [(2, [])]                     http tn: [(2, None)]
thrift ar: [(2, [])]

A zero vector is a valid embedding, so these rows can't be told apart from real data. build_result() now masks these column types with the bitmap. I added test_null_vector_columns (embedding, sparse, tensor).

The whole test_null.py passes with thrift and --http (9 passed, two runs each). With types.py from main, test_null_temporal_columns, test_null_vector_columns and test_thrift_null_temporal_slots_are_not_decoded fail (two runs).