in src/anthropic/_models.py [0:0]
def _build_discriminated_union_meta(*, union: type, meta_annotations: tuple[Any, ...]) -> DiscriminatorDetails | None:
if isinstance(union, CachedDiscriminatorType):
return union.__discriminator__
discriminator_field_name: str | None = None
for annotation in meta_annotations:
if isinstance(annotation, PropertyInfo) and annotation.discriminator is not None:
discriminator_field_name = annotation.discriminator
break
if not discriminator_field_name:
return None
mapping: dict[str, type] = {}
discriminator_alias: str | None = None
for variant in get_args(union):
variant = strip_annotated_type(variant)
if is_basemodel_type(variant):
if PYDANTIC_V2:
field = _extract_field_schema_pv2(variant, discriminator_field_name)
if not field:
continue
# Note: if one variant defines an alias then they all should
discriminator_alias = field.get("serialization_alias")
field_schema = field["schema"]
if field_schema["type"] == "literal":
for entry in cast("LiteralSchema", field_schema)["expected"]:
if isinstance(entry, str):
mapping[entry] = variant
else:
field_info = cast("dict[str, FieldInfo]", variant.__fields__).get(discriminator_field_name) # pyright: ignore[reportDeprecated, reportUnnecessaryCast]
if not field_info:
continue
# Note: if one variant defines an alias then they all should
discriminator_alias = field_info.alias
if (annotation := getattr(field_info, "annotation", None)) and is_literal_type(annotation):
for entry in get_args(annotation):
if isinstance(entry, str):
mapping[entry] = variant
if not mapping:
return None
details = DiscriminatorDetails(
mapping=mapping,
discriminator_field=discriminator_field_name,
discriminator_alias=discriminator_alias,
)
cast(CachedDiscriminatorType, union).__discriminator__ = details
return details