fastapi_15589

{"status": "ok", "stdout": "./fastapi/dependencies/utils.py:536:        if not field_info.alias and getattr(field_info, \"convert_underscores\", None):\n./fastapi/dependencies/utils.py:797:    default_convert_underscores = True\n./fastapi/dependencies/utils.py:803:        # If headers are in a Pydantic model, the way to disable convert_underscores\n./fastapi/dependencies/utils.py:804:        # would be with Header(convert_underscores=False) at the Pydantic model level\n./fastapi/dependencies/utils.py:805:        default_convert_underscores = getattr(\n./fastapi/dependencies/utils.py:806:            first_field.field_info, \"convert_underscores\", True\n./fastapi/dependencies/utils.py:817:            # doesn't have a FieldInfo of type Header with the default convert_underscores=True\n./fastapi/dependencies/utils.py:818:            convert_underscores = getattr(\n./fastapi/dependencies/utils.py:819:                field.field_info, \"convert_underscores\", default_convert_underscores\n./fastapi/dependencies/utils.py:821:            if convert_underscores:\n./fastapi/param_functions.py:761:    convert_underscores: Annotated[\n./fastapi/param_functions.py:991:        convert_underscores=convert_underscores,\n./fastapi/params.py:316:        convert_underscores: bool = True,\n./fastapi/params.py:352:        self.convert_underscores = convert_underscores\n./fastapi/openapi/utils.py:128:    default_convert_underscores = True\n./fastapi/openapi/utils.py:132:            default_convert_underscores = getattr(\n./fastapi/openapi/utils.py:133:                first_field.field_info, \"convert_underscores\", True\n./fastapi/openapi/utils.py:148:            convert_underscores = getattr(\n./fastapi/openapi/utils.py:150:                \"convert_underscores\",\n./fastapi/openapi/utils.py:151:                default_convert_underscores,\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "\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_alias(field))\n\n    for key in received_params.keys():\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "316:        convert_underscores: bool = True,\n352:        self.convert_underscores = convert_underscores\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": "69:    Headers,\n760:        and isinstance(values, (ImmutableMultiDict, Headers))\n786:    received_params: Mapping[str, Any] | QueryParams | Headers,\n804:        # would be with Header(convert_underscores=False) at the Pydantic model level\n815:        if isinstance(received_params, Headers):\n817:            # doesn't have a FieldInfo of type Header with the default convert_underscores=True\n832:            if isinstance(received_params, (ImmutableMultiDict, Headers)):\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        if value is not None:\n            params_to_process[get_validation_alias(field)] = value\n        processed_keys.add(alias or get_validation_alias(field))\n\n    for key in received_params.keys():\n        if key not in processed_keys:\n            if isinstance(received_params, (ImmutableMultiDict, Headers)):\n                value = received_params.getlist(key)\n                if isinstance(value, list) and (len(value) == 1):\n                    params_to_process[key] = value[0]\n                else:\n                    params_to_process[key] = value\n            else:\n                params_to_process[key] = received_params.get(key)\n\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "753:def _get_multidict_value(\n825:        value = _get_multidict_value(field, received_params, alias=alias)\n853:        value = _get_multidict_value(field, received_params)\n919:        value = _get_multidict_value(field, received_body)\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n        value is None\n        or (\n            isinstance(field.field_info, params.Form)\n            and isinstance(value, str)  # For type checks\n            and value == \"\"\n        )\n        or (\n            field_annotation_is_sequence(field.field_info.annotation)\n            and len(value) == 0\n        )\n    ):\n        if field.field_info.is_required():\n            return\n        else:\n            return deepcopy(field.default)\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "756:    alias = alias or get_validation_alias(field)\n822:                alias = get_validation_alias(field)\n827:            params_to_process[get_validation_alias(field)] = value\n828:        processed_keys.add(alias or get_validation_alias(field))\n858:        loc = (field_info.in_.value, get_validation_alias(field))\n939:            values[get_validation_alias(field)] = value\n940:    field_aliases = {get_validation_alias(field) for field in body_fields}\n982:        loc = (\"body\", get_validation_alias(field))\n986:                value = body_to_process.get(get_validation_alias(field))\n1055:def get_validation_alias(field: ModelField) -> str:\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "        field_info=BodyFieldInfo(**BodyFieldInfo_kwargs),\n    )\n    return final_field\n\n\ndef get_validation_alias(field: ModelField) -> str:\n    va = getattr(field, \"validation_alias\", None)\n    return va or field.alias\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "69:    Headers,\n760:        and isinstance(values, (ImmutableMultiDict, Headers))\n786:    received_params: Mapping[str, Any] | QueryParams | Headers,\n804:        # would be with Header(convert_underscores=False) at the Pydantic model level\n815:        if isinstance(received_params, Headers):\n817:            # doesn't have a FieldInfo of type Header with the default convert_underscores=True\n832:            if isinstance(received_params, (ImmutableMultiDict, Headers)):\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "69:    Headers,\n760:        and isinstance(values, (ImmutableMultiDict, Headers))\n786:    received_params: Mapping[str, Any] | QueryParams | Headers,\n815:        if isinstance(received_params, Headers):\n832:            if isinstance(received_params, (ImmutableMultiDict, Headers)):\n", "stderr": "", "exit_code": 0}

{"status": "error", "error_type": "CommandError", "error_message": "", "details": {"stdout": "", "stderr": "", "exit_code": 1}}

{"status": "ok", "stdout": "fastapi/datastructures.py:15:from starlette.datastructures import Headers as Headers  # noqa: F401\nfastapi/datastructures.py:61:    headers: Annotated[Headers, Doc(\"The headers of the request.\")]\nfastapi/dependencies/utils.py:69:    Headers,\nfastapi/dependencies/utils.py:760:        and isinstance(values, (ImmutableMultiDict, Headers))\nfastapi/dependencies/utils.py:786:    received_params: Mapping[str, Any] | QueryParams | Headers,\nfastapi/dependencies/utils.py:815:        if isinstance(received_params, Headers):\nfastapi/dependencies/utils.py:832:            if isinstance(received_params, (ImmutableMultiDict, Headers)):\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n        value is None\n        or (\n            isinstance(field.field_info, params.Form)\n            and isinstance(value, str)  # For type checks\n            and value == \"\"\n        )\n        or (\n            field_annotation_is_sequence(field.field_info.annotation)\n            and len(value) == 0\n        )\n    ):\n        if field.field_info.is_required():\n            return\n        else:\n            return deepcopy(field.default)\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        if value is not None:\n            params_to_process[get_validation_alias(field)] = value\n        processed_keys.add(alias or get_validation_alias(field))\n\n    for key in received_params.keys():\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "69:    Headers,\n760:        and isinstance(values, (ImmutableMultiDict, Headers))\n786:    received_params: Mapping[str, Any] | QueryParams | Headers,\n804:        # would be with Header(convert_underscores=False) at the Pydantic model level\n815:        if isinstance(received_params, Headers):\n817:            # doesn't have a FieldInfo of type Header with the default convert_underscores=True\n832:            if isinstance(received_params, (ImmutableMultiDict, Headers)):\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "536:        if not field_info.alias and getattr(field_info, \"convert_underscores\", None):\n797:    default_convert_underscores = True\n803:        # If headers are in a Pydantic model, the way to disable convert_underscores\n804:        # would be with Header(convert_underscores=False) at the Pydantic model level\n805:        default_convert_underscores = getattr(\n806:            first_field.field_info, \"convert_underscores\", True\n817:            # doesn't have a FieldInfo of type Header with the default convert_underscores=True\n818:            convert_underscores = getattr(\n819:                field.field_info, \"convert_underscores\", default_convert_underscores\n821:            if convert_underscores:\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "            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", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": ") -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n        value is None\n        or (\n            isinstance(field.field_info, params.Form)\n            and isinstance(value, str)  # For type checks\n            and value == \"\"\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n        value is None\n        or (\n            isinstance(field.field_info, params.Form)\n            and isinstance(value, str)  # For type checks\n            and value == \"\"\n        )\n        or (\n            field_annotation_is_sequence(field.field_info.annotation)\n            and len(value) == 0\n        )\n    ):\n        if field.field_info.is_required():\n            return\n        else:\n            return deepcopy(field.default)\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "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": "536:        if not field_info.alias and getattr(field_info, \"convert_underscores\", None):\n797:    default_convert_underscores = True\n803:        # If headers are in a Pydantic model, the way to disable convert_underscores\n804:        # would be with Header(convert_underscores=False) at the Pydantic model level\n805:        default_convert_underscores = getattr(\n806:            first_field.field_info, \"convert_underscores\", True\n817:            # doesn't have a FieldInfo of type Header with the default convert_underscores=True\n818:            convert_underscores = getattr(\n819:                field.field_info, \"convert_underscores\", default_convert_underscores\n821:            if convert_underscores:\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n        value is None\n        or (\n            isinstance(field.field_info, params.Form)\n            and isinstance(value, str)  # For type checks\n            and value == \"\"\n        )\n        or (\n            field_annotation_is_sequence(field.field_info.annotation)\n            and len(value) == 0\n        )\n    ):\n        if field.field_info.is_required():\n            return\n        else:\n            return deepcopy(field.default)\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        if value is not None:\n            params_to_process[get_validation_alias(field)] = value\n        processed_keys.add(alias or get_validation_alias(field))\n\n    for key in received_params.keys():\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n        value is None\n        or (\n            isinstance(field.field_info, params.Form)\n            and isinstance(value, str)  # For type checks\n            and value == \"\"\n        )\n        or (\n            field_annotation_is_sequence(field.field_info.annotation)\n            and len(value) == 0\n        )\n    ):\n        if field.field_info.is_required():\n            return\n        else:\n            return deepcopy(field.default)\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        if value is not None:\n            params_to_process[get_validation_alias(field)] = value\n        processed_keys.add(alias or get_validation_alias(field))\n\n    for key in received_params.keys():\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n        value is None\n        or (\n            isinstance(field.field_info, params.Form)\n            and isinstance(value, str)  # For type checks\n            and value == \"\"\n        )\n        or (\n            field_annotation_is_sequence(field.field_info.annotation)\n            and len(value) == 0\n        )\n    ):\n        if field.field_info.is_required():\n            return\n        else:\n            return deepcopy(field.default)\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        if value is not None:\n            params_to_process[get_validation_alias(field)] = value\n        processed_keys.add(alias or get_validation_alias(field))\n\n    for key in received_params.keys():\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n        value is None\n        or (\n            isinstance(field.field_info, params.Form)\n            and isinstance(value, str)  # For type checks\n            and value == \"\"\n        )\n        or (\n            field_annotation_is_sequence(field.field_info.annotation)\n            and len(value) == 0\n        )\n    ):\n        if field.field_info.is_required():\n            return\n        else:\n            return deepcopy(field.default)\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        if value is not None:\n            params_to_process[get_validation_alias(field)] = value\n        processed_keys.add(alias or get_validation_alias(field))\n\n    for key in received_params.keys():\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n        value is None\n        or (\n            isinstance(field.field_info, params.Form)\n            and isinstance(value, str)  # For type checks\n            and value == \"\"\n        )\n        or (\n            field_annotation_is_sequence(field.field_info.annotation)\n            and len(value) == 0\n        )\n    ):\n        if field.field_info.is_required():\n            return\n        else:\n            return deepcopy(field.default)\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        if value is not None:\n            params_to_process[get_validation_alias(field)] = value\n        processed_keys.add(alias or get_validation_alias(field))\n\n    for key in received_params.keys():\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n        value is None\n        or (\n            isinstance(field.field_info, params.Form)\n            and isinstance(value, str)  # For type checks\n            and value == \"\"\n        )\n        or (\n            field_annotation_is_sequence(field.field_info.annotation)\n            and len(value) == 0\n        )\n    ):\n        if field.field_info.is_required():\n            return\n        else:\n            return deepcopy(field.default)\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        if value is not None:\n            params_to_process[get_validation_alias(field)] = value\n        processed_keys.add(alias or get_validation_alias(field))\n\n    for key in received_params.keys():\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n        value is None\n        or (\n            isinstance(field.field_info, params.Form)\n            and isinstance(value, str)  # For type checks\n            and value == \"\"\n        )\n        or (\n            field_annotation_is_sequence(field.field_info.annotation)\n            and len(value) == 0\n        )\n    ):\n        if field.field_info.is_required():\n            return\n        else:\n            return deepcopy(field.default)\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        if value is not None:\n            params_to_process[get_validation_alias(field)] = value\n        processed_keys.add(alias or get_validation_alias(field))\n\n    for key in received_params.keys():\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n        value is None\n        or (\n            isinstance(field.field_info, params.Form)\n            and isinstance(value, str)  # For type checks\n            and value == \"\"\n        )\n        or (\n            field_annotation_is_sequence(field.field_info.annotation)\n            and len(value) == 0\n        )\n    ):\n        if field.field_info.is_required():\n            return\n        else:\n            return deepcopy(field.default)\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        if value is not None:\n            params_to_process[get_validation_alias(field)] = value\n        processed_keys.add(alias or get_validation_alias(field))\n\n    for key in received_params.keys():\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 10 tool call(s) remaining (50/60 used). Finalize your edits and call submit_patch soon."}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n        value is None\n        or (\n            isinstance(field.field_info, params.Form)\n            and isinstance(value, str)  # For type checks\n            and value == \"\"\n        )\n        or (\n            field_annotation_is_sequence(field.field_info.annotation)\n            and len(value) == 0\n        )\n    ):\n        if field.field_info.is_required():\n            return\n        else:\n            return deepcopy(field.default)\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 9 tool call(s) remaining (51/60 used). Finalize your edits and call submit_patch soon."}

{"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        if value is not None:\n            params_to_process[get_validation_alias(field)] = value\n        processed_keys.add(alias or get_validation_alias(field))\n\n    for key in received_params.keys():\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 8 tool call(s) remaining (52/60 used). Finalize your edits and call submit_patch soon."}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 7 tool call(s) remaining (53/60 used). Finalize your edits and call submit_patch soon."}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n        value is None\n        or (\n            isinstance(field.field_info, params.Form)\n            and isinstance(value, str)  # For type checks\n            and value == \"\"\n        )\n        or (\n            field_annotation_is_sequence(field.field_info.annotation)\n            and len(value) == 0\n        )\n    ):\n        if field.field_info.is_required():\n            return\n        else:\n            return deepcopy(field.default)\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 6 tool call(s) remaining (54/60 used). Finalize your edits and call submit_patch soon."}

{"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        if value is not None:\n            params_to_process[get_validation_alias(field)] = value\n        processed_keys.add(alias or get_validation_alias(field))\n\n    for key in received_params.keys():\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 5 tool call(s) remaining (55/60 used). Finalize your edits and call submit_patch soon."}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 4 tool call(s) remaining (56/60 used). Finalize your edits and call submit_patch soon."}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n        value is None\n        or (\n            isinstance(field.field_info, params.Form)\n            and isinstance(value, str)  # For type checks\n            and value == \"\"\n        )\n        or (\n            field_annotation_is_sequence(field.field_info.annotation)\n            and len(value) == 0\n        )\n    ):\n        if field.field_info.is_required():\n            return\n        else:\n            return deepcopy(field.default)\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 3 tool call(s) remaining (57/60 used). Finalize your edits and call submit_patch soon."}

{"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        if value is not None:\n            params_to_process[get_validation_alias(field)] = value\n        processed_keys.add(alias or get_validation_alias(field))\n\n    for key in received_params.keys():\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 2 tool call(s) remaining (58/60 used). Finalize your edits and call submit_patch soon."}

{"status": "ok", "stdout": "    return any(type(item) is Json for item in field.field_info.metadata)\n\n\ndef _get_multidict_value(\n    field: ModelField, values: Mapping[str, Any], alias: str | None = None\n) -> Any:\n    alias = alias or get_validation_alias(field)\n    if (\n        (not _is_json_field(field))\n        and field_annotation_is_sequence(field.field_info.annotation)\n        and isinstance(values, (ImmutableMultiDict, Headers))\n    ):\n        value = values.getlist(alias)\n    else:\n        value = values.get(alias, None)\n    if (\n", "stderr": "", "exit_code": 0, "budget_warning": "Only 1 tool call(s) remaining (59/60 used). Finalize your edits and call submit_patch soon."}

{"status": "ok", "patch_size": 0, "files_changed": 0}