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# What does this PR do?


## Test Plan
This commit is contained in:
Eric Huang 2025-10-10 09:45:35 -07:00
parent 548ccff368
commit 82314c686c
32 changed files with 624 additions and 882 deletions
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40
docs/openapi_generator/pyopenapi/generator.py
View file

@ -769,24 +769,30 @@ class Generator:
first = next(iter(op.request_params))
request_name, request_type = first
op_name = "".join(word.capitalize() for word in op.name.split("_"))
request_name = f"{op_name}Request"
fields = [
(
name,
type_,
)
for name, type_ in op.request_params
]
request_type = make_dataclass(
request_name,
fields,
namespace={
"__doc__": create_docstring_for_request(
request_name, fields, doc_params
# HACK ALERT
# Special case: if there's a single parameter named "params" that's already a BaseModel,
# unwrap it to show the flat structure in the OpenAPI spec (matches FastAPI's embed=False behavior)
if len(op.request_params) == 1 and request_name == "params" and inspect.isclass(request_type) and issubclass(request_type, BaseModel):
pass
else:
op_name = "".join(word.capitalize() for word in op.name.split("_"))
request_name = f"{op_name}Request"
fields = [
(
name,
type_,
)
},
)
for name, type_ in op.request_params
]
request_type = make_dataclass(
request_name,
fields,
namespace={
"__doc__": create_docstring_for_request(
request_name, fields, doc_params
)
},
)
requestBody = RequestBody(
content={

9
docs/openapi_generator/pyopenapi/utility.py
View file

@ -11,6 +11,7 @@ from pathlib import Path
from typing import TextIO
from typing import Any, List, Optional, Union, get_type_hints, get_origin, get_args
from pydantic import BaseModel
from llama_stack.strong_typing.schema import object_to_json, StrictJsonType
from llama_stack.core.resolver import api_protocol_map
@ -205,6 +206,14 @@ def _validate_has_return_in_docstring(method) -> str | None:
def _validate_has_params_in_docstring(method) -> str | None:
source = inspect.getsource(method)
sig = inspect.signature(method)
params_list = [p for p in sig.parameters.values() if p.name != "self"]
if len(params_list) == 1:
param = params_list[0]
param_type = param.annotation
if isclass(param_type) and issubclass(param_type, BaseModel):
return
# Only check if the method has more than one parameter
if len(sig.parameters) > 1 and ":param" not in source:
return "does not have a ':param' in its docstring"