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./fastapi/openapi/utils.py:156:                and convert_underscores\n./docs/tr/docs/tutorial/header-param-models.md:66:`convert_underscores` de\u

{"status": "ok", "filepath": "fastapi/dependencies/utils.py", "content": "\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", "start_line": 790, "end_line": 830, "total_lines": 1057, "is_truncated": false}

{"status": "ok", "filepath": "fastapi/dependencies/utils.py", "content": "    # 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", "start_line": 520, "end_line": 550, "total_lines": 1057, "is_truncated": false}

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

{"status": "ok", "filepath": "fastapi/params.py", "content": "        )\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      

{"status": "ok", "filepath": "fastapi/dependencies/utils.py", "content": "\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", "start_line": 810, "end_line": 840, "total_lines": 1057, "is_truncated": false}

{"status": "ok", "filepath": "fastapi/dependencies/utils.py", "content": "            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", "start_line": 530, "end_line": 540, "total_lines": 1057, "is_truncated": false}

{"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", "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", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/dependencies/utils.py", "content": "import dataclasses\nimport inspect\nimport sys\nfrom collections.abc import (\n    AsyncGenerator,\n    AsyncIterable,\n    AsyncIterator,\n    Callable,\n    Generator,\n    Iterable,\n    Iterator,\n    Mapping,\n    Sequence,\n)\nfrom contextlib import AsyncExitStack, contextmanager\nfrom copy import copy, deepcopy\nfrom dataclasses import dataclass\nfrom typing import (\n    Annotated,\n    Any,\n    ForwardRef,\n    Literal,\n    Union,\n    cast,\n    get_args,\n    get_origin,\n)\n\nfrom fastapi import params\nfrom fastapi._compat import (\n    ModelField,\n    RequiredParam,\n    Undefined,\n    copy_field_info,\n    create_body_model,\n    evaluate_forwardref,\n    field_annotation_is_scalar,\n    field_annotation_is_scalar_sequence,\n    field_annotation_is_sequence,\n    get_cached_model_fields,\n    get_missing_field_error,\n    is_bytes_or_nonable_bytes_annotation,\n    is_bytes_sequence_annotation,\n    is_scalar_field,\n    is_uploadfile_or_nonable_uploadfile_annotation,\n    is_uploadfile_sequence_annotation,\n    lenient_issubclass,\n    sequence_types,\n    serialize_sequence_value,\n    value_is_sequence,\n)\nfrom fastapi.background import BackgroundTasks\nfrom fastapi.concurrency import (\n    asynccontextmanager,\n    contextmanager_in_threadpool,\n)\nfrom fastapi.dependencies.models import Dependant\nfrom fastapi.exceptions import DependencyScopeError\nfrom fastapi.logger import logger\nfrom fastapi.security.oauth2 import SecurityScopes\nfrom fastapi.types import DependencyCacheKey\nfrom fastapi.utils import create_model_field, get_path_param_names\nfrom pydantic import BaseModel, Json\nfrom pydantic.fields import FieldInfo\nfrom starlette.background import BackgroundTasks as StarletteBackgroundTasks\nfrom starlette.concurrency import run_in_threadpool\nfrom starlette.datastructures import (\n    FormData,\n    Headers,\n    ImmutableMultiDict,\n    QueryParams,\n    Uplo

{"status": "ok", "filepath": "/tmp/test_underscore_headers.py", "size": 1838}

{"status": "error", "error_type": "CommandError", "error_message": "Command failed with exit code 2", "details": {"stdout": "", "stderr": "python3: can't open file '/tmp/swe_work/eval4_submission_v1b/fastapi_15589/a/tmp/test_underscore_headers.py': [Errno 2] No such file or directory\n", "exit_code": 2}}

{"status": "ok", "stdout": "/tmp/swe_work/eval4_submission_v1b/fastapi_15589/a/tmp:\n", "exit_code": 0}

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

{"status": "ok", "stdout": "Status: 200, JSON: {'x_token': 'bar'}\n", "exit_code": 0}

{"status": "ok", "stdout": "Status: 200, JSON: {'x_token': 'bar'}\n", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/dependencies/utils.py", "content": "\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", "start_line": 810, "end_line": 840, "total_lines": 1057, "is_truncated": false}

{"status": "ok", "filepath": "fastapi/dependencies/utils.py", "occurrences": 1, "strategy": "exact", "diff": "--- a/fastapi/dependencies/utils.py\n+++ b/fastapi/dependencies/utils.py\n@@ -830,6 +830,13 @@\n     for key in received_params.keys():\n         if key not in processed_keys:\n             if isinstance(received_params, (ImmutableMultiDict, Headers)):\n+                # If convert_underscores is True, we should not accept underscore headers\n+                # This is a bit tricky because we don't have a single convert_underscores \n+                # for the whole request, but we can check if any of the fields had it.\n+                # However, the requirement is \"Do not accept underscore headers when using convert_underscores=True\".\n+                # In the case of a Pydantic model, we already have default_convert_underscores.\n+                if default_convert_underscores and \"_\" in key:\n+                    continue\n                 value = received_params.getlist(key)\n                 if isinstance(value, list) and (len(value) == 1):\n                     params_to_process[key] = value[0]\n", "is_truncated": false}

{"status": "ok", "stdout": "Status: 422, JSON: {'detail': [{'type': 'missing', 'loc': ['header', 'x_token'], 'msg': 'Field required', 'input': {'host': 'testserver', 'accept': '*/*', 'accept-encoding': 'gzip, deflate', 'connection': 'keep-alive', 'user-agent': 'testclient'}}]}\n", "exit_code": 0}

{"status": "ok", "stdout": "Status: 200, JSON: {'x_token': 'bar'}\n", "exit_code": 0}

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

{"status": "ok", "patch_size": 3219, "files_changed": 2}