fastapi_15589

{"status": "ok", "stdout": "./docs/zh-hant/docs/tutorial/header-param-models.md:66:\u5728\u5c07 `convert_underscores` \u8a2d\u70ba `False` \u4e4b\u524d\uff0c\u8acb\u6ce8\u610f\u6709\u4e9b HTTP \u4ee3\u7406\u8207\u4f3a\u670d\u5668\u4e0d\u5141\u8a31\u542b\u6709\u5e95\u7dda\u7684\u6a19\u982d\u3002\n./docs/zh-hant/docs/tutorial/header-params.md:47:\u82e5\u56e0\u67d0\u4e9b\u539f\u56e0\u9700\u8981\u505c\u7528\u5e95\u7dda\u81ea\u52d5\u8f49\u9023\u5b57\u865f\u7684\u884c\u70ba\uff0c\u5c07 `Header` \u7684 `convert_underscores` \u53c3\u6578\u8a2d\u70ba `False`\uff1a\n./docs/zh-hant/docs/tutorial/header-params.md:53:\u5728\u5c07 `convert_underscores` \u8a2d\u70ba `False` \u4e4b\u524d\uff0c\u8acb\u6ce8\u610f\u6709\u4e9b HTTP \u4ee3\u7406\u8207\u4f3a\u670d\u5668\u4e0d\u5141\u8a31\u4f7f\u7528\u5e36\u6709\u5e95\u7dda\u7684\u6a19\u982d\u3002\n./docs/ja/docs/tutorial/header-param-models.md:66:`convert_underscores` \u3092 `False` \u306b\u8a2d\u5b9a\u3059\u308b\u524d\u306b\u3001\u30a2\u30f3\u30c0\u30fc\u30b9\u30b3\u30a2\u3092\u542b\u3080\u30d8\u30c3\u30c0\u30fc\u306e\u4f7f\u7528\u3092\u7981\u6b62\u3057\u3066\u3044\u308b HTTP \u30d7\u30ed\u30ad\u30b7\u3084\u30b5\u30fc\u30d0\u30fc\u304c\u3042\u308b\u3053\u3068\u306b\u7559\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n./docs/ja/docs/tutorial/header-params.md:47:\u3082\u3057\u306a\u3093\u3089\u304b\u306e\u7406\u7531\u3067\u30a2\u30f3\u30c0\u30fc\u30b9\u30b3\u30a2\u304b\u3089\u30cf\u30a4\u30d5\u30f3\u3078\u306e\u81ea\u52d5\u5909\u63db\u3092\u7121\u52b9\u306b\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u5834\u5408\u306f\u3001`Header`\u306e\u30d1\u30e9\u30e1\u30fc\u30bf`convert_underscores`\u3092`False`\u306b\u8a2d\u5b9a\u3057\u3066\u304f\u3060\u3055\u3044:\n./docs/ja/docs/tutorial/header-params.md:53:`convert_underscores`\u3092`False`\u306b\u8a2d\u5b9a\u3059\u308b\u524d\u306b\u3001HTTP\u30d7\u30ed\u30ad\u30b7\u3084\u30b5\u30fc\u30d0\u306e\u4e2d\u306b\u306f\u30a2\u30f3\u30c0\u30fc\u30b9\u30b3\u30a2\u3092\u542b\u3080\u30d8\u30c3\u30c0\u30fc\u

{"status": "ok", "stdout": "fastapi/params.py:316:        convert_underscores: bool = True,\nfastapi/params.py:352:        self.convert_underscores = convert_underscores\nfastapi/dependencies/utils.py:536:        if not field_info.alias and getattr(field_info, \"convert_underscores\", None):\nfastapi/dependencies/utils.py:797:    default_convert_underscores = True\nfastapi/dependencies/utils.py:803:        # If headers are in a Pydantic model, the way to disable convert_underscores\nfastapi/dependencies/utils.py:804:        # would be with Header(convert_underscores=False) at the Pydantic model level\nfastapi/dependencies/utils.py:805:        default_convert_underscores = getattr(\nfastapi/dependencies/utils.py:806:            first_field.field_info, \"convert_underscores\", True\nfastapi/dependencies/utils.py:817:            # doesn't have a FieldInfo of type Header with the default convert_underscores=True\nfastapi/dependencies/utils.py:818:            convert_underscores = getattr(\nfastapi/dependencies/utils.py:819:                field.field_info, \"convert_underscores\", default_convert_underscores\nfastapi/dependencies/utils.py:821:            if convert_underscores:\nfastapi/openapi/utils.py:128:    default_convert_underscores = True\nfastapi/openapi/utils.py:132:            default_convert_underscores = getattr(\nfastapi/openapi/utils.py:133:                first_field.field_info, \"convert_underscores\", True\nfastapi/openapi/utils.py:148:            convert_underscores = getattr(\nfastapi/openapi/utils.py:150:                \"convert_underscores\",\nfastapi/openapi/utils.py:151:                default_convert_underscores,\nfastapi/openapi/utils.py:156:                and convert_underscores\nfastapi/param_functions.py:761:    convert_underscores: Annotated[\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    # It's a field_info, not a dependency\n    if field_info is not None:\n        # Handle field_info.in_\n        if is_path_param:\n            assert isinstance(field_info, params.Path), (\n                f\"Cannot use `{field_info.__class__.__name__}` for path param\"\n                f\" {param_name!r}\"\n            )\n        elif (\n            isinstance(field_info, params.Param)\n            and getattr(field_info, \"in_\", None) is None\n        ):\n            field_info.in_ = params.ParamTypes.query\n        use_annotation_from_field_info = use_annotation\n        if isinstance(field_info, params.Form):\n            ensure_multipart_is_installed()\n        if not field_info.alias and getattr(field_info, \"convert_underscores\", None):\n            alias = param_name.replace(\"_\", \"-\")\n        else:\n            alias = field_info.alias or param_name\n        field_info.alias = alias\n        field = create_model_field(\n            name=param_name,\n            type_=use_annotation_from_field_info,\n            default=field_info.default,\n            alias=alias,\n            field_info=field_info,\n        )\n        if is_path_param:\n            assert is_scalar_field(field=field), (\n                \"Path params must be of one of the supported types\"\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "            return deepcopy(field.default)\n    return value\n\n\ndef request_params_to_args(\n    fields: Sequence[ModelField],\n    received_params: Mapping[str, Any] | QueryParams | Headers,\n) -> tuple[dict[str, Any], list[Any]]:\n    values: dict[str, Any] = {}\n    errors: list[dict[str, Any]] = []\n\n    if not fields:\n        return values, errors\n\n    first_field = fields[0]\n    fields_to_extract = fields\n    single_not_embedded_field = False\n    default_convert_underscores = True\n    if len(fields) == 1 and lenient_issubclass(\n        first_field.field_info.annotation, BaseModel\n    ):\n        fields_to_extract = get_cached_model_fields(first_field.field_info.annotation)\n        single_not_embedded_field = True\n        # If headers are in a Pydantic model, the way to disable convert_underscores\n        # would be with Header(convert_underscores=False) at the Pydantic model level\n        default_convert_underscores = getattr(\n            first_field.field_info, \"convert_underscores\", True\n        )\n\n    params_to_process: dict[str, Any] = {}\n\n    processed_keys = set()\n\n    for field in fields_to_extract:\n        alias = None\n        if isinstance(received_params, Headers):\n            # Handle fields extracted from a Pydantic Model for a header, each field\n            # doesn't have a FieldInfo of type Header with the default convert_underscores=True\n            convert_underscores = getattr(\n                field.field_info, \"convert_underscores\", default_convert_underscores\n            )\n            if convert_underscores:\n                alias = get_validation_alias(field)\n                if alias == field.name:\n                    alias = alias.replace(\"_\", \"-\")\n        value = _get_multidict_value(field, received_params, alias=alias)\n        if value is not None:\n            params_to_process[get_validation_alias(field)] = value\n        processed_keys.add(alias or get_validation_

{"status": "error", "error_type": "CommandError", "error_message": "Traceback (most recent call last):\n  File \"<stdin>\", line 43, in <module>\n  File \"<stdin>\", line 27, in test_underscore_headers\nAssertionError\n", "details": {"stdout": "", "stderr": "Traceback (most recent call last):\n  File \"<stdin>\", line 43, in <module>\n  File \"<stdin>\", line 27, in test_underscore_headers\nAssertionError\n", "exit_code": 1}}

{"status": "ok", "stdout": "x-header: 200 {'x': 'foo'}\nx_header: 422 {'detail': [{'type': 'missing', 'loc': ['header', 'x-header'], 'msg': 'Field required', 'input': None}]}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "x-header: 200 {'x': 'foo'}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "underscore / x-header: 200 {'x': 'foo'}\nunderscore / x_header: 422 {'detail': [{'type': 'missing', 'loc': ['header', 'x-header'], 'msg': 'Field required', 'input': None}]}\nunderscore_false / x_header: 200 {'x': 'baz'}\nunderscore_false / x-header: 422 {'detail': [{'type': 'missing', 'loc': ['header', 'x_header'], 'msg': 'Field required', 'input': None}]}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "fastapi/params.py:303:class Header(Param):  # type: ignore[misc]\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "        )\n\n\nclass Header(Param):  # type: ignore[misc]\n    in_ = ParamTypes.header\n\n    def __init__(\n        self,\n        default: Any = Undefined,\n        *,\n        default_factory: Callable[[], Any] | None = _Unset,\n        annotation: Any | None = None,\n        alias: str | None = None,\n        alias_priority: int | None = _Unset,\n        validation_alias: str | AliasPath | AliasChoices | None = None,\n        serialization_alias: str | None = None,\n        convert_underscores: bool = True,\n        title: str | None = None,\n        description: str | None = None,\n        gt: float | None = None,\n        ge: float | None = None,\n        lt: float | None = None,\n        le: float | None = None,\n        min_length: int | None = None,\n        max_length: int | None = None,\n        pattern: str | None = None,\n        regex: Annotated[\n            str | None,\n            deprecated(\n                \"Deprecated in FastAPI 0.100.0 and Pydantic v2, use `pattern` instead.\"\n            ),\n        ] = None,\n        discriminator: str | None = None,\n        strict: bool | None = _Unset,\n        multiple_of: float | None = _Unset,\n        allow_inf_nan: bool | None = _Unset,\n        max_digits: int | None = _Unset,\n        decimal_places: int | None = _Unset,\n        examples: list[Any] | None = None,\n        example: Annotated[\n            Any | None,\n            deprecated(\n                \"Deprecated in OpenAPI 3.1.0 that now uses JSON Schema 2020-12, \"\n                \"although still supported. Use examples instead.\"\n            ),\n        ] = _Unset,\n        openapi_examples: dict[str, Example] | None = None,\n        deprecated: deprecated | str | bool | None = None,\n        include_in_schema: bool = True,\n        json_schema_extra: dict[str, Any] | None = None,\n        **extra: Any,\n    ):\n        self.convert_underscores = convert_underscores\n        super().__init__(\n            d

{"status": "ok", "stdout": "model / x-header: 200 {'x': 'foo'}\nmodel / x_header: 200 {'x': 'bar'}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "            return deepcopy(field.default)\n    return value\n\n\ndef request_params_to_args(\n    fields: Sequence[ModelField],\n    received_params: Mapping[str, Any] | QueryParams | Headers,\n) -> tuple[dict[str, Any], list[Any]]:\n    values: dict[str, Any] = {}\n    errors: list[dict[str, Any]] = []\n\n    if not fields:\n        return values, errors\n\n    first_field = fields[0]\n    fields_to_extract = fields\n    single_not_embedded_field = False\n    default_convert_underscores = True\n    if len(fields) == 1 and lenient_issubclass(\n        first_field.field_info.annotation, BaseModel\n    ):\n        fields_to_extract = get_cached_model_fields(first_field.field_info.annotation)\n        single_not_embedded_field = True\n        # If headers are in a Pydantic model, the way to disable convert_underscores\n        # would be with Header(convert_underscores=False) at the Pydantic model level\n        default_convert_underscores = getattr(\n            first_field.field_info, \"convert_underscores\", True\n        )\n\n    params_to_process: dict[str, Any] = {}\n\n    processed_keys = set()\n\n    for field in fields_to_extract:\n        alias = None\n        if isinstance(received_params, Headers):\n            # Handle fields extracted from a Pydantic Model for a header, each field\n            # doesn't have a FieldInfo of type Header with the default convert_underscores=True\n            convert_underscores = getattr(\n                field.field_info, \"convert_underscores\", default_convert_underscores\n            )\n            if convert_underscores:\n                alias = get_validation_alias(field)\n                if alias == field.name:\n                    alias = alias.replace(\"_\", \"-\")\n        value = _get_multidict_value(field, received_params, alias=alias)\n        if value is not None:\n            params_to_process[get_validation_alias(field)] = value\n        processed_keys.add(alias or get_validation_

{"status": "ok", "stdout": "model_false / x_header: 200 {'x': 'baz'}\nmodel_false / x-header: 422 {'detail': [{'type': 'missing', 'loc': ['header', 'x_header'], 'msg': 'Field required', 'input': {'host': 'testserver', 'accept': '*/*', 'accept-encoding': 'gzip, deflate', 'connection': 'keep-alive', 'user-agent': 'testclient', 'x-header': 'qux'}}]}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "model / x-header: 200 {'x': 'foo'}\nmodel / x_header: 200 {'x': 'bar'}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "\n    processed_keys = set()\n\n    for field in fields_to_extract:\n        alias = None\n        if isinstance(received_params, Headers):\n            # Handle fields extracted from a Pydantic Model for a header, each field\n            # doesn't have a FieldInfo of type Header with the default convert_underscores=True\n            convert_underscores = getattr(\n                field.field_info, \"convert_underscores\", default_convert_underscores\n            )\n            if convert_underscores:\n                alias = get_validation_alias(field)\n                if alias == field.name:\n                    alias = alias.replace(\"_\", \"-\")\n        value = _get_multidict_value(field, received_params, alias=alias)\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "model / x-header: 200 {'x': 'foo'}\nmodel / x_header: 200 {'x': 'bar'}\n", "stderr": "", "exit_code": 0}