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feat(api): define a more coherent jobs api across different flows

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Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>
This commit is contained in:
Ihar Hrachyshka 2025-03-24 20:54:04 -04:00
parent 71ed47ea76
commit 0f50cfa561
15 changed files with 1864 additions and 1670 deletions
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12
llama_stack/strong_typing/inspection.py
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@ -562,6 +562,15 @@ else:
return typing.get_type_hints(typ)
def get_computed_fields(typ: type) -> dict[str, type]:
"Returns all computed fields of a class."
pydantic_decorators = getattr(typ, "__pydantic_decorators__", None)
if not pydantic_decorators:
return {}
computed_fields = pydantic_decorators.computed_fields
return {field_name: decorator.info.return_type for field_name, decorator in computed_fields.items()}
def get_class_properties(typ: type) -> Iterable[Tuple[str, type | str]]:
"Returns all properties of a class."
@ -569,7 +578,8 @@ def get_class_properties(typ: type) -> Iterable[Tuple[str, type | str]]:
return ((field.name, field.type) for field in dataclasses.fields(typ))
else:
resolved_hints = get_resolved_hints(typ)
return resolved_hints.items()
computed_fields = get_computed_fields(typ)
return (resolved_hints | computed_fields).items()
def get_class_property(typ: type, name: str) -> Optional[type | str]: