fix: support optional nested pydantic model (#2130)

Closes #2129
This commit is contained in:
Lei Xu
2025-02-17 20:43:13 -08:00
committed by GitHub
parent a608621476
commit 1865f7decf
2 changed files with 116 additions and 10 deletions

View File

@@ -199,18 +199,29 @@ else:
]
def _pydantic_type_to_arrow_type(tp: Any, field: FieldInfo) -> pa.DataType:
if inspect.isclass(tp):
if issubclass(tp, pydantic.BaseModel):
# Struct
fields = _pydantic_model_to_fields(tp)
return pa.struct(fields)
if issubclass(tp, FixedSizeListMixin):
return pa.list_(tp.value_arrow_type(), tp.dim())
return _py_type_to_arrow_type(tp, field)
def _pydantic_to_arrow_type(field: FieldInfo) -> pa.DataType:
"""Convert a Pydantic FieldInfo to Arrow DataType"""
if isinstance(field.annotation, (_GenericAlias, GenericAlias)):
origin = field.annotation.__origin__
args = field.annotation.__args__
if origin is list:
child = args[0]
return pa.list_(_py_type_to_arrow_type(child, field))
elif origin == Union:
if len(args) == 2 and args[1] is type(None):
return _py_type_to_arrow_type(args[0], field)
return _pydantic_type_to_arrow_type(args[0], field)
elif sys.version_info >= (3, 10) and isinstance(field.annotation, types.UnionType):
args = field.annotation.__args__
if len(args) == 2:
@@ -218,14 +229,7 @@ def _pydantic_to_arrow_type(field: FieldInfo) -> pa.DataType:
if typ is type(None):
continue
return _py_type_to_arrow_type(typ, field)
elif inspect.isclass(field.annotation):
if issubclass(field.annotation, pydantic.BaseModel):
# Struct
fields = _pydantic_model_to_fields(field.annotation)
return pa.struct(fields)
elif issubclass(field.annotation, FixedSizeListMixin):
return pa.list_(field.annotation.value_arrow_type(), field.annotation.dim())
return _py_type_to_arrow_type(field.annotation, field)
return _pydantic_type_to_arrow_type(field.annotation, field)
def is_nullable(field: FieldInfo) -> bool:

View File

@@ -10,6 +10,7 @@ import pyarrow as pa
import pydantic
import pytest
from lancedb.pydantic import PYDANTIC_VERSION, LanceModel, Vector, pydantic_to_schema
from pydantic import BaseModel
from pydantic import Field
@@ -252,3 +253,104 @@ def test_lance_model():
t = TestModel()
assert t == TestModel(vec=[0.0] * 16, li=[1, 2, 3])
def test_optional_nested_model():
class WAMedia(BaseModel):
url: str
mimetype: str
filename: Optional[str]
error: Optional[str]
data: bytes
class WALocation(BaseModel):
description: Optional[str]
latitude: str
longitude: str
class ReplyToMessage(BaseModel):
id: str
participant: str
body: str
class Message(BaseModel):
id: str
timestamp: int
from_: str
fromMe: bool
to: str
body: str
hasMedia: Optional[bool]
media: WAMedia
mediaUrl: Optional[str]
ack: Optional[int]
ackName: Optional[str]
author: Optional[str]
location: Optional[WALocation]
vCards: Optional[List[str]]
replyTo: Optional[ReplyToMessage]
class AnyEvent(LanceModel):
id: str
session: str
metadata: Optional[str] = None
engine: str
event: str
class MessageEvent(AnyEvent):
payload: Message
schema = pydantic_to_schema(MessageEvent)
payload = schema.field("payload")
assert payload.type == pa.struct(
[
pa.field("id", pa.utf8(), False),
pa.field("timestamp", pa.int64(), False),
pa.field("from_", pa.utf8(), False),
pa.field("fromMe", pa.bool_(), False),
pa.field("to", pa.utf8(), False),
pa.field("body", pa.utf8(), False),
pa.field("hasMedia", pa.bool_(), True),
pa.field(
"media",
pa.struct(
[
pa.field("url", pa.utf8(), False),
pa.field("mimetype", pa.utf8(), False),
pa.field("filename", pa.utf8(), True),
pa.field("error", pa.utf8(), True),
pa.field("data", pa.binary(), False),
]
),
False,
),
pa.field("mediaUrl", pa.utf8(), True),
pa.field("ack", pa.int64(), True),
pa.field("ackName", pa.utf8(), True),
pa.field("author", pa.utf8(), True),
pa.field(
"location",
pa.struct(
[
pa.field("description", pa.utf8(), True),
pa.field("latitude", pa.utf8(), False),
pa.field("longitude", pa.utf8(), False),
]
),
True, # Optional
),
pa.field("vCards", pa.list_(pa.utf8()), True),
pa.field(
"replyTo",
pa.struct(
[
pa.field("id", pa.utf8(), False),
pa.field("participant", pa.utf8(), False),
pa.field("body", pa.utf8(), False),
]
),
True,
),
]
)