KarthikSandXuanwo 702389654e fix(python): align pylance extra and preview install indexes (#4556)
Fixes #4248.

The preview index still contains pylance 1.0.0b6. uv's default
first-index resolution can select it, or backtrack to an old LanceDB
release when installing the extra. Meanwhile, the extra still permits
pylance 5 even though current main bundles Lance 14.

Raise the optional dependency to `pylance>=14.0.0b12`, the version
already pinned in the test extra, and keep the lockfile metadata
consistent. Document both Fury indexes and uv's `unsafe-best-match`
strategy in the Python README and the source-owned quickstart
(`docs/web/quickstart.mdx`). Explain the index trust requirement and
recommend installing the extra to enforce the version floor.

Add CI checks that reject older Lance majors and ensure the pylance and
tests extras remain compatible. Run these checks when either dependency
manifest changes, so a future Lance major bump cannot silently leave the
Python minimum behind.

### Validation

- Recreated the reported install on Ubuntu 26.04 / CPython 3.12.15 with
uv 0.12.23: `lancedb==0.40.0b5` plus the old index selects
`pylance==1.0.0b6`. Reproduced both the missing `blob_array` import and
the unexpected `blob_handling` scanner argument using a real blob table.
- Resolved the modified `python/pyproject.toml` with the pylance extra
against both indexes: selects `pylance==14.0.0b18`, matching the current
Rust pin.
- Ran both documented pip and uv installations in isolated environments:
`lancedb==0.41.0b7`, `pylance==14.0.0b18`; blob-array construction and a
blob-bytes round trip through `to_pandas(blob_mode="bytes")` pass. Both
package dependency checks pass.
- New regression fails on the original dependency bound (27
rejected-version cases incorrectly accepted), then passes with the fix.
Full CI-script suite: 3 tests pass.
- `uv lock --check` with both indexes passes; focused Ruff checks pass;
`git diff --check` passes.
- Repository-wide Ruff reports 49 existing errors in untouched
`docs/web-tests` files. Unrelated formatting changes were discarded.

Runtime smoke checks used released native wheels; source dependency
resolution was tested directly from the modified pyproject. No Rust or
Python runtime code changes.

---------

Co-authored-by: Xuanwo <github@xuanwo.io>
2026-10-24 03:27:32 +08:00
2023-03-17 18:15:19 -07:00
2025-03-10 09:01:23 -07:00

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The ultimate multimodal data platform for AI/ML applications.

LanceDB is designed for fast, scalable, and production-ready vector search. It is built on top of the Lance columnar format. You can store, index, and search over petabytes of multimodal data and vectors with ease. LanceDB is a central location where developers can build, train and analyze their AI workloads.


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