Jay Pokale 506e095435 feat(python): support Literal, time and timedelta fields in pydantic models ...

`pydantic_to_schema` rejected three common field types with `TypeError: Converting Pydantic type to Arrow Type: unsupported type ...`. This maps them to native Arrow types:

| Python | Arrow |
| --- | --- |
| `datetime.time` | `time64("us")` |
| `datetime.timedelta` | `duration("us")` |
| `Literal[...]` | the type of its values, e.g. `Literal["a", "b"]` -> `utf8`, `Literal[1, 2]` -> `int64` |

`Optional[Literal[...]]` and `List[Literal[...]]` use the existing optional/list handling. A `Literal` whose values have different types (`Literal["a", 1]`) raises `TypeError` with a message stating that all values must share one type.

`datetime.time` is stored as timezone-naive wall-clock time. Pydantic model writes reject a `time` with non-null `tzinfo` before Arrow conversion, including direct, list, nested, and Enum values, with a `ValueError` explaining that the offset would be lost.

Tests cover schema mapping including optional and list forms, mixed-type `Literal` rejection, naive time/timedelta round trips, and timezone-aware rejection at the write path.

2026-11-03 22:04:10 +08:00

..

lancedb

feat(python): support Literal, time and timedelta fields in pydantic models

2026-11-03 22:04:10 +08:00

tests

feat(python): support Literal, time and timedelta fields in pydantic models

2026-11-03 22:04:10 +08:00

type_tests

fix(python): expose inline types to downstream checkers (#3817)

2026-08-07 17:31:42 +08:00