failed CONTEXT NO_PATCH UNSUBMITTED agent_error · 26 tool calls · 57 s · fastapi/fastapi
➖ Drop support for `pydantic.v1` ➖ Drop support for `pydantic.v1` When trying to use a `pydantic.v1` model with FastAPI, an error is raised.
| # | Tool | Arguments | Result |
|---|---|---|---|
| 1 | run_command | {
"command": "grep -rn \"pydantic.v1\" . | head -20"
} | {"status": "ok", "stdout": "./fastapi/dependencies/utils.py:47:from fastapi._compat.shared import annotation_is_pydantic_v1\n./fastapi/dependencies/utils.py:75:full{"status": "ok", "stdout": "./fastapi/dependencies/utils.py:47:from fastapi._compat.shared import annotation_is_pydantic_v1\n./fastapi/dependencies/utils.py:75:from .. import temp_pydantic_v1_params\n./fastapi/dependencies/utils.py:328: \"pydantic.v1 is deprecated and will soon stop being supported by FastAPI.\"\n./fastapi/dependencies/utils.py:334: param_details.field.field_info, (params.Body, temp_pydantic_v1_params.Body)\n./fastapi/dependencies/utils.py:403: temp_pydantic_v1_params.Param,\n./fastapi/dependencies/utils.py:405: temp_pydantic_v1_params.Body,\n./fastapi/dependencies/utils.py:494: if annotation_is_pydantic_v1(use_annotation):\n./fastapi/dependencies/utils.py:495: field_info = temp_pydantic_v1_params.Body( # type: ignore[assignment]\n./fastapi/dependencies/utils.py:511: field_info, (params.Path, temp_pydantic_v1_params.Path)\n./fastapi/dependencies/utils.py:517: isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param))\n./fastapi/dependencies/utils.py:526: if isinstance(field_info, (params.Form, temp_pydantic_v1_params.Form)):\n./fastapi/dependencies/utils.py:546: elif isinstance(field_info, (params.Query, temp_pydantic_v1_params.Query)):\n./fastapi/dependencies/utils.py:765: isinstance(field.field_info, (params.Form, temp_pydantic_v1_params.Form))\n./fastapi/dependencies/utils.py:835: assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\n./fastapi/dependencies/utils.py:847: assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\n./fastapi/dependencies/utils.py:896: isinstance(first_field.field_info, (params.Form, temp_pydantic_v1_params.Form))\n./fastapi/dependencies/utils.py:914: isinstance(field_info, (params.File, temp_pydantic_v1_params.File))\n./fastapi/dependencies/utils.py:921: and isinstance(field_i |
| 2 | run_command | {
"command": "grep -rn \"pydantic.v1\" fastapi | head -40"
} | {"status": "ok", "stdout": "fastapi/dependencies/utils.py:47:from fastapi._compat.shared import annotation_is_pydantic_v1\nfastapi/dependencies/utils.py:75:fromfull{"status": "ok", "stdout": "fastapi/dependencies/utils.py:47:from fastapi._compat.shared import annotation_is_pydantic_v1\nfastapi/dependencies/utils.py:75:from .. import temp_pydantic_v1_params\nfastapi/dependencies/utils.py:328: \"pydantic.v1 is deprecated and will soon stop being supported by FastAPI.\"\nfastapi/dependencies/utils.py:334: param_details.field.field_info, (params.Body, temp_pydantic_v1_params.Body)\nfastapi/dependencies/utils.py:403: temp_pydantic_v1_params.Param,\nfastapi/dependencies/utils.py:405: temp_pydantic_v1_params.Body,\nfastapi/dependencies/utils.py:494: if annotation_is_pydantic_v1(use_annotation):\nfastapi/dependencies/utils.py:495: field_info = temp_pydantic_v1_params.Body( # type: ignore[assignment]\nfastapi/dependencies/utils.py:511: field_info, (params.Path, temp_pydantic_v1_params.Path)\nfastapi/dependencies/utils.py:517: isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param))\nfastapi/dependencies/utils.py:526: if isinstance(field_info, (params.Form, temp_pydantic_v1_params.Form)):\nfastapi/dependencies/utils.py:546: elif isinstance(field_info, (params.Query, temp_pydantic_v1_params.Query)):\nfastapi/dependencies/utils.py:765: isinstance(field.field_info, (params.Form, temp_pydantic_v1_params.Form))\nfastapi/dependencies/utils.py:835: assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\nfastapi/dependencies/utils.py:847: assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\nfastapi/dependencies/utils.py:896: isinstance(first_field.field_info, (params.Form, temp_pydantic_v1_params.Form))\nfastapi/dependencies/utils.py:914: isinstance(field_info, (params.File, temp_pydantic_v1_params.File))\nfastapi/dependencies/utils.py:921: and isinstance(field_info, (params.File, temp_pydantic_v1_ |
| 3 | read_file | {
"filepath": "fastapi/_compat/shared.py",
"start_line": "182",
"end_line": "200"
} | {"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"}full{"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"} |
| 4 | read_file | {
"end_line": "200",
"filepath": "fastapi/_compat/shared.py",
"start_line": "180"
} | {"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"}full{"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"} |
| 5 | read_file | {
"end_line": "200",
"filepath": "fastapi/_compat/shared.py"
} | {"status": "error", "error_type": "FileReadError", "error_message": "'<' not supported between instances of 'int' and 'str'"}full{"status": "error", "error_type": "FileReadError", "error_message": "'<' not supported between instances of 'int' and 'str'"} |
| 6 | run_command | {
"command": "ls -R fastapi/_compat"
} | {"status": "ok", "stdout": "fastapi/_compat:\n__init__.py\nmain.py\nmay_v1.py\nmodel_field.py\nshared.py\nv1.py\nv2.py\n", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "fastapi/_compat:\n__init__.py\nmain.py\nmay_v1.py\nmodel_field.py\nshared.py\nv1.py\nv2.py\n", "stderr": "", "exit_code": 0} |
| 7 | read_file | {
"filepath": "fastapi/_compat/shared.py"
} | {"status": "ok", "filepath": "fastapi/_compat/shared.py", "content": "import sys\nimport types\nimport typing\nfrom collections import deque\nfrom collections.afull{"status": "ok", "filepath": "fastapi/_compat/shared.py", "content": "import sys\nimport types\nimport typing\nfrom collections import deque\nfrom collections.abc import Mapping, Sequence\nfrom dataclasses import is_dataclass\nfrom typing import (\n Annotated,\n Any,\n Union,\n)\n\nfrom fastapi._compat import may_v1\nfrom fastapi.types import UnionType\nfrom pydantic import BaseModel\nfrom pydantic.version import VERSION as PYDANTIC_VERSION\nfrom starlette.datastructures import UploadFile\nfrom typing_extensions import get_args, get_origin\n\n# Copy from Pydantic v2, compatible with v1\nif sys.version_info < (3, 10):\n WithArgsTypes: tuple[Any, ...] = (typing._GenericAlias, types.GenericAlias) # type: ignore[attr-defined]\nelse:\n WithArgsTypes: tuple[Any, ...] = (\n typing._GenericAlias, # type: ignore[attr-defined]\n types.GenericAlias,\n types.UnionType,\n ) # pyright: ignore[reportAttributeAccessIssue]\n\nPYDANTIC_VERSION_MINOR_TUPLE = tuple(int(x) for x in PYDANTIC_VERSION.split(\".\")[:2])\nPYDANTIC_V2 = PYDANTIC_VERSION_MINOR_TUPLE[0] == 2\n\n\nsequence_annotation_to_type = {\n Sequence: list,\n list: list,\n tuple: tuple,\n set: set,\n frozenset: frozenset,\n deque: deque,\n}\n\nsequence_types = tuple(sequence_annotation_to_type.keys())\n\nUrl: type[Any]\n\n\n# Copy of Pydantic v2, compatible with v1\ndef lenient_issubclass(\n cls: Any, class_or_tuple: Union[type[Any], tuple[type[Any], ...], None]\n) -> bool:\n try:\n return isinstance(cls, type) and issubclass(cls, class_or_tuple) # type: ignore[arg-type]\n except TypeError: # pragma: no cover\n if isinstance(cls, WithArgsTypes):\n return False\n raise # pragma: no cover\n\n\ndef _annotation_is_sequence(annotation: Union[type[Any], None]) -> bool:\n if lenient_issubclass(annotation, (str, bytes)):\n return False\n return lenient_issubclass(annotation, sequence_types)\n\n\ndef field_annotation |
| 8 | read_file | {
"filepath": "fastapi/_compat/shared.py",
"start_line": "151"
} | {"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"}full{"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"} |
| 9 | run_command | {
"command": "tail -n 50 fastapi/_compat/shared.py"
} | {"status": "ok", "stdout": " if origin is Union or origin is UnionType:\n for arg in get_args(annotation):\n if lenient_issubclass(arg, UploadFile):\n return Trfull{"status": "ok", "stdout": " if origin is Union or origin is UnionType:\n for arg in get_args(annotation):\n if lenient_issubclass(arg, UploadFile):\n return True\n return False\n\n\ndef is_bytes_sequence_annotation(annotation: Any) -> bool:\n origin = get_origin(annotation)\n if origin is Union or origin is UnionType:\n at_least_one = False\n for arg in get_args(annotation):\n if is_bytes_sequence_annotation(arg):\n at_least_one = True\n continue\n return at_least_one\n return field_annotation_is_sequence(annotation) and all(\n is_bytes_or_nonable_bytes_annotation(sub_annotation)\n for sub_annotation in get_args(annotation)\n )\n\n\ndef is_uploadfile_sequence_annotation(annotation: Any) -> bool:\n origin = get_origin(annotation)\n if origin is Union or origin is UnionType:\n at_least_one = False\n for arg in get_args(annotation):\n if is_uploadfile_sequence_annotation(arg):\n at_least_one = True\n continue\n return at_least_one\n return field_annotation_is_sequence(annotation) and all(\n is_uploadfile_or_nonable_uploadfile_annotation(sub_annotation)\n for sub_annotation in get_args(annotation)\n )\n\n\ndef annotation_is_pydantic_v1(annotation: Any) -> bool:\n if lenient_issubclass(annotation, may_v1.BaseModel):\n return True\n origin = get_origin(annotation)\n if origin is Union or origin is UnionType:\n for arg in get_args(annotation):\n if lenient_issubclass(arg, may_v1.BaseModel):\n return True\n if field_annotation_is_sequence(annotation):\n for sub_annotation in get_args(annotation):\n if annotation_is_pydantic_v1(sub_annotation):\n return True\n return False\n", "stderr": "", "exit_code": 0} |
| 10 | read_file | {
"filepath": "fastapi/_compat/may_v1.py"
} | {"status": "ok", "filepath": "fastapi/_compat/may_v1.py", "content": "import sys\nfrom collections.abc import Sequence\nfrom typing import Any, Literal, Union\nfull{"status": "ok", "filepath": "fastapi/_compat/may_v1.py", "content": "import sys\nfrom collections.abc import Sequence\nfrom typing import Any, Literal, Union\n\nfrom fastapi.types import ModelNameMap\n\nif sys.version_info >= (3, 14):\n\n class AnyUrl:\n pass\n\n class BaseConfig:\n pass\n\n class BaseModel:\n pass\n\n class Color:\n pass\n\n class CoreSchema:\n pass\n\n class ErrorWrapper:\n pass\n\n class FieldInfo:\n pass\n\n class GetJsonSchemaHandler:\n pass\n\n class JsonSchemaValue:\n pass\n\n class ModelField:\n pass\n\n class NameEmail:\n pass\n\n class RequiredParam:\n pass\n\n class SecretBytes:\n pass\n\n class SecretStr:\n pass\n\n class Undefined:\n pass\n\n class UndefinedType:\n pass\n\n class Url:\n pass\n\n from .v2 import ValidationError, create_model\n\n def get_definitions(\n *,\n fields: list[ModelField],\n model_name_map: ModelNameMap,\n separate_input_output_schemas: bool = True,\n ) -> tuple[\n dict[\n tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n ],\n dict[str, dict[str, Any]],\n ]:\n return {}, {} # pragma: no cover\n\n\nelse:\n from .v1 import AnyUrl as AnyUrl\n from .v1 import BaseConfig as BaseConfig\n from .v1 import BaseModel as BaseModel\n from .v1 import Color as Color\n from .v1 import CoreSchema as CoreSchema\n from .v1 import ErrorWrapper as ErrorWrapper\n from .v1 import FieldInfo as FieldInfo\n from .v1 import GetJsonSchemaHandler as GetJsonSchemaHandler\n from .v1 import JsonSchemaValue as JsonSchemaValue\n from .v1 import ModelField as ModelField\n from .v1 import NameEmail as NameEmail\n from .v1 import RequiredParam as RequiredParam\n from .v1 import SecretBytes as SecretBytes\n from .v1 import SecretS |
| 11 | read_file | {
"filepath": "fastapi/_compat/v1.py"
} | {"status": "ok", "filepath": "fastapi/_compat/v1.py", "content": "from collections.abc import Sequence\nfrom copy import copy\nfrom dataclasses import dataclassfull{"status": "ok", "filepath": "fastapi/_compat/v1.py", "content": "from collections.abc import Sequence\nfrom copy import copy\nfrom dataclasses import dataclass, is_dataclass\nfrom enum import Enum\nfrom typing import (\n Any,\n Callable,\n Union,\n)\n\nfrom fastapi._compat import shared\nfrom fastapi.openapi.constants import REF_PREFIX as REF_PREFIX\nfrom fastapi.types import ModelNameMap\nfrom pydantic.v1 import BaseConfig as BaseConfig\nfrom pydantic.v1 import BaseModel as BaseModel\nfrom pydantic.v1 import ValidationError as ValidationError\nfrom pydantic.v1 import create_model as create_model\nfrom pydantic.v1.class_validators import Validator as Validator\nfrom pydantic.v1.color import Color as Color\nfrom pydantic.v1.error_wrappers import ErrorWrapper as ErrorWrapper\nfrom pydantic.v1.fields import (\n SHAPE_FROZENSET,\n SHAPE_LIST,\n SHAPE_SEQUENCE,\n SHAPE_SET,\n SHAPE_SINGLETON,\n SHAPE_TUPLE,\n SHAPE_TUPLE_ELLIPSIS,\n)\nfrom pydantic.v1.fields import FieldInfo as FieldInfo\nfrom pydantic.v1.fields import ModelField as ModelField\nfrom pydantic.v1.fields import Undefined as Undefined\nfrom pydantic.v1.fields import UndefinedType as UndefinedType\nfrom pydantic.v1.networks import AnyUrl as AnyUrl\nfrom pydantic.v1.networks import NameEmail as NameEmail\nfrom pydantic.v1.schema import TypeModelSet as TypeModelSet\nfrom pydantic.v1.schema import field_schema, model_process_schema\nfrom pydantic.v1.schema import (\n get_annotation_from_field_info as get_annotation_from_field_info,\n)\nfrom pydantic.v1.schema import (\n get_flat_models_from_field as get_flat_models_from_field,\n)\nfrom pydantic.v1.schema import (\n get_flat_models_from_fields as get_flat_models_from_fields,\n)\nfrom pydantic.v1.schema import get_model_name_map as get_model_name_map\nfrom pydantic.v1.types import SecretBytes as SecretBytes\nfrom pydantic.v1.types import SecretStr as SecretStr\nfrom pydantic.v1.typing import evaluate_forwardref as evaluate_f |
| 12 | run_command | {
"command": "grep -rn \"pydantic.v1\" fastapi/_compat/v1.py"
} | {"status": "ok", "stdout": "14:from pydantic.v1 import BaseConfig as BaseConfig\n15:from pydantic.v1 import BaseModel as BaseModel\n16:from pydantic.v1 import Vfull{"status": "ok", "stdout": "14:from pydantic.v1 import BaseConfig as BaseConfig\n15:from pydantic.v1 import BaseModel as BaseModel\n16:from pydantic.v1 import ValidationError as ValidationError\n17:from pydantic.v1 import create_model as create_model\n18:from pydantic.v1.class_validators import Validator as Validator\n19:from pydantic.v1.color import Color as Color\n20:from pydantic.v1.error_wrappers import ErrorWrapper as ErrorWrapper\n21:from pydantic.v1.fields import (\n30:from pydantic.v1.fields import FieldInfo as FieldInfo\n31:from pydantic.v1.fields import ModelField as ModelField\n32:from pydantic.v1.fields import Undefined as Undefined\n33:from pydantic.v1.fields import UndefinedType as UndefinedType\n34:from pydantic.v1.networks import AnyUrl as AnyUrl\n35:from pydantic.v1.networks import NameEmail as NameEmail\n36:from pydantic.v1.schema import TypeModelSet as TypeModelSet\n37:from pydantic.v1.schema import field_schema, model_process_schema\n38:from pydantic.v1.schema import (\n41:from pydantic.v1.schema import (\n44:from pydantic.v1.schema import (\n47:from pydantic.v1.schema import get_model_name_map as get_model_name_map\n48:from pydantic.v1.types import SecretBytes as SecretBytes\n49:from pydantic.v1.types import SecretStr as SecretStr\n50:from pydantic.v1.typing import evaluate_forwardref as evaluate_forwardref\n51:from pydantic.v1.utils import lenient_issubclass as lenient_issubclass\n", "stderr": "", "exit_code": 0} |
| 13 | read_file | {
"filepath": "fastapi/_compat/v2.py"
} | {"status": "ok", "filepath": "fastapi/_compat/v2.py", "content": "import re\nimport warnings\nfrom collections.abc import Sequence\nfrom copy import copy, deepcfull{"status": "ok", "filepath": "fastapi/_compat/v2.py", "content": "import re\nimport warnings\nfrom collections.abc import Sequence\nfrom copy import copy, deepcopy\nfrom dataclasses import dataclass, is_dataclass\nfrom enum import Enum\nfrom typing import (\n Annotated,\n Any,\n Union,\n cast,\n)\n\nfrom fastapi._compat import may_v1, shared\nfrom fastapi.openapi.constants import REF_TEMPLATE\nfrom fastapi.types import IncEx, ModelNameMap, UnionType\nfrom pydantic import BaseModel, ConfigDict, Field, TypeAdapter, create_model\nfrom pydantic import PydanticSchemaGenerationError as PydanticSchemaGenerationError\nfrom pydantic import PydanticUndefinedAnnotation as PydanticUndefinedAnnotation\nfrom pydantic import ValidationError as ValidationError\nfrom pydantic._internal._schema_generation_shared import ( # type: ignore[attr-defined]\n GetJsonSchemaHandler as GetJsonSchemaHandler,\n)\nfrom pydantic._internal._typing_extra import eval_type_lenient\nfrom pydantic._internal._utils import lenient_issubclass as lenient_issubclass\nfrom pydantic.fields import FieldInfo as FieldInfo\nfrom pydantic.json_schema import GenerateJsonSchema as GenerateJsonSchema\nfrom pydantic.json_schema import JsonSchemaValue as JsonSchemaValue\nfrom pydantic_core import CoreSchema as CoreSchema\nfrom pydantic_core import PydanticUndefined, PydanticUndefinedType\nfrom pydantic_core import Url as Url\nfrom typing_extensions import Literal, get_args, get_origin\n\ntry:\n from pydantic_core.core_schema import (\n with_info_plain_validator_function as with_info_plain_validator_function,\n )\nexcept ImportError: # pragma: no cover\n from pydantic_core.core_schema import (\n general_plain_validator_function as with_info_plain_validator_function, # noqa: F401\n )\n\nRequiredParam = PydanticUndefined\nUndefined = PydanticUndefined\nUndefinedType = PydanticUndefinedType\nevaluate_forwardref = eval_type_lenient\nValidator = Any\n\n# TODO: remove when dropping su |
| 14 | read_file | {
"filepath": "fastapi/_compat/may_v1.py"
} | {"status": "ok", "filepath": "fastapi/_compat/may_v1.py", "content": "import sys\nfrom collections.abc import Sequence\nfrom typing import Any, Literal, Union\nfull{"status": "ok", "filepath": "fastapi/_compat/may_v1.py", "content": "import sys\nfrom collections.abc import Sequence\nfrom typing import Any, Literal, Union\n\nfrom fastapi.types import ModelNameMap\n\nif sys.version_info >= (3, 14):\n\n class AnyUrl:\n pass\n\n class BaseConfig:\n pass\n\n class BaseModel:\n pass\n\n class Color:\n pass\n\n class CoreSchema:\n pass\n\n class ErrorWrapper:\n pass\n\n class FieldInfo:\n pass\n\n class GetJsonSchemaHandler:\n pass\n\n class JsonSchemaValue:\n pass\n\n class ModelField:\n pass\n\n class NameEmail:\n pass\n\n class RequiredParam:\n pass\n\n class SecretBytes:\n pass\n\n class SecretStr:\n pass\n\n class Undefined:\n pass\n\n class UndefinedType:\n pass\n\n class Url:\n pass\n\n from .v2 import ValidationError, create_model\n\n def get_definitions(\n *,\n fields: list[ModelField],\n model_name_map: ModelNameMap,\n separate_input_output_schemas: bool = True,\n ) -> tuple[\n dict[\n tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n ],\n dict[str, dict[str, Any]],\n ]:\n return {}, {} # pragma: no cover\n\n\nelse:\n from .v1 import AnyUrl as AnyUrl\n from .v1 import BaseConfig as BaseConfig\n from .v1 import BaseModel as BaseModel\n from .v1 import Color as Color\n from .v1 import CoreSchema as CoreSchema\n from .v1 import ErrorWrapper as ErrorWrapper\n from .v1 import FieldInfo as FieldInfo\n from .v1 import GetJsonSchemaHandler as GetJsonSchemaHandler\n from .v1 import JsonSchemaValue as JsonSchemaValue\n from .v1 import ModelField as ModelField\n from .v1 import NameEmail as NameEmail\n from .v1 import RequiredParam as RequiredParam\n from .v1 import SecretBytes as SecretBytes\n from .v1 import SecretS |
| 15 | run_command | {
"command": "grep -rn \"temp_pydantic_v1_params\" fastapi"
} | {"status": "ok", "stdout": "fastapi/dependencies/utils.py:75:from .. import temp_pydantic_v1_params\nfastapi/dependencies/utils.py:334: param_details.field.fielfull{"status": "ok", "stdout": "fastapi/dependencies/utils.py:75:from .. import temp_pydantic_v1_params\nfastapi/dependencies/utils.py:334: param_details.field.field_info, (params.Body, temp_pydantic_v1_params.Body)\nfastapi/dependencies/utils.py:403: temp_pydantic_v1_params.Param,\nfastapi/dependencies/utils.py:405: temp_pydantic_v1_params.Body,\nfastapi/dependencies/utils.py:495: field_info = temp_pydantic_v1_params.Body( # type: ignore[assignment]\nfastapi/dependencies/utils.py:511: field_info, (params.Path, temp_pydantic_v1_params.Path)\nfastapi/dependencies/utils.py:517: isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param))\nfastapi/dependencies/utils.py:526: if isinstance(field_info, (params.Form, temp_pydantic_v1_params.Form)):\nfastapi/dependencies/utils.py:546: elif isinstance(field_info, (params.Query, temp_pydantic_v1_params.Query)):\nfastapi/dependencies/utils.py:765: isinstance(field.field_info, (params.Form, temp_pydantic_v1_params.Form))\nfastapi/dependencies/utils.py:835: assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\nfastapi/dependencies/utils.py:847: assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\nfastapi/dependencies/utils.py:896: isinstance(first_field.field_info, (params.Form, temp_pydantic_v1_params.Form))\nfastapi/dependencies/utils.py:914: isinstance(field_info, (params.File, temp_pydantic_v1_params.File))\nfastapi/dependencies/utils.py:921: and isinstance(field_info, (params.File, temp_pydantic_v1_params.File))\nfastapi/dependencies/utils.py:1033: isinstance(f.field_info, temp_pydantic_v1_params.File)\nfastapi/dependencies/utils.py:1036: BodyFieldInfo: type[temp_pydantic_v1_params.Body] = temp_pydantic_v1_params.File # type: ignore[no-redef]\nfastapi/dependencies/utils.py:1040: isinstan |
| 16 | run_command | {
"command": "ls fastapi/__init__.py"
} | {"status": "ok", "stdout": "fastapi/__init__.py\n", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "fastapi/__init__.py\n", "stderr": "", "exit_code": 0} |
| 17 | read_file | {
"filepath": "fastapi/__init__.py"
} | {"status": "ok", "filepath": "fastapi/__init__.py", "content": "\"\"\"FastAPI framework, high performance, easy to learn, fast to code, ready for production\"\"full{"status": "ok", "filepath": "fastapi/__init__.py", "content": "\"\"\"FastAPI framework, high performance, easy to learn, fast to code, ready for production\"\"\"\n\n__version__ = \"0.127.1\"\n\nfrom starlette import status as status\n\nfrom .applications import FastAPI as FastAPI\nfrom .background import BackgroundTasks as BackgroundTasks\nfrom .datastructures import UploadFile as UploadFile\nfrom .exceptions import HTTPException as HTTPException\nfrom .exceptions import WebSocketException as WebSocketException\nfrom .param_functions import Body as Body\nfrom .param_functions import Cookie as Cookie\nfrom .param_functions import Depends as Depends\nfrom .param_functions import File as File\nfrom .param_functions import Form as Form\nfrom .param_functions import Header as Header\nfrom .param_functions import Path as Path\nfrom .param_functions import Query as Query\nfrom .param_functions import Security as Security\nfrom .requests import Request as Request\nfrom .responses import Response as Response\nfrom .routing import APIRouter as APIRouter\nfrom .websockets import WebSocket as WebSocket\nfrom .websockets import WebSocketDisconnect as WebSocketDisconnect", "start_line": 1, "end_line": 25, "total_lines": 25, "is_truncated": false} |
| 18 | run_command | {
"command": "grep -rn \"temp_pydantic_v1_params\" fastapi/__init__.py"
} | {"status": "error", "error_type": "CommandError", "error_message": "", "details": {"stdout": "", "stderr": "", "exit_code": 1}}full{"status": "error", "error_type": "CommandError", "error_message": "", "details": {"stdout": "", "stderr": "", "exit_code": 1}} |
| 19 | run_command | {
"command": "grep -rn \"temp_pydantic_v1_params\" ."
} | {"status": "ok", "stdout": "./fastapi/dependencies/utils.py:75:from .. import temp_pydantic_v1_params\n./fastapi/dependencies/utils.py:334: param_details.field.full{"status": "ok", "stdout": "./fastapi/dependencies/utils.py:75:from .. import temp_pydantic_v1_params\n./fastapi/dependencies/utils.py:334: param_details.field.field_info, (params.Body, temp_pydantic_v1_params.Body)\n./fastapi/dependencies/utils.py:403: temp_pydantic_v1_params.Param,\n./fastapi/dependencies/utils.py:405: temp_pydantic_v1_params.Body,\n./fastapi/dependencies/utils.py:495: field_info = temp_pydantic_v1_params.Body( # type: ignore[assignment]\n./fastapi/dependencies/utils.py:511: field_info, (params.Path, temp_pydantic_v1_params.Path)\n./fastapi/dependencies/utils.py:517: isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param))\n./fastapi/dependencies/utils.py:526: if isinstance(field_info, (params.Form, temp_pydantic_v1_params.Form)):\n./fastapi/dependencies/utils.py:546: elif isinstance(field_info, (params.Query, temp_pydantic_v1_params.Query)):\n./fastapi/dependencies/utils.py:765: isinstance(field.field_info, (params.Form, temp_pydantic_v1_params.Form))\n./fastapi/dependencies/utils.py:835: assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\n./fastapi/dependencies/utils.py:847: assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\n./fastapi/dependencies/utils.py:896: isinstance(first_field.field_info, (params.Form, temp_pydantic_v1_params.Form))\n./fastapi/dependencies/utils.py:914: isinstance(field_info, (params.File, temp_pydantic_v1_params.File))\n./fastapi/dependencies/utils.py:921: and isinstance(field_info, (params.File, temp_pydantic_v1_params.File))\n./fastapi/dependencies/utils.py:1033: isinstance(f.field_info, temp_pydantic_v1_params.File)\n./fastapi/dependencies/utils.py:1036: BodyFieldInfo: type[temp_pydantic_v1_params.Body] = temp_pydantic_v1_params.File # type: ignore[no-redef]\n./fastapi/depende |
| 20 | run_command | {
"command": "ls -F fastapi/"
} | {"status": "ok", "stdout": "__init__.py\n__main__.py\n_compat/\napplications.py\nbackground.py\ncli.py\nconcurrency.py\ndatastructures.py\ndependencies/\nencodefull{"status": "ok", "stdout": "__init__.py\n__main__.py\n_compat/\napplications.py\nbackground.py\ncli.py\nconcurrency.py\ndatastructures.py\ndependencies/\nencoders.py\nexception_handlers.py\nexceptions.py\nlogger.py\nmiddleware/\nopenapi/\nparam_functions.py\nparams.py\npy.typed\nrequests.py\nresponses.py\nrouting.py\nsecurity/\nstaticfiles.py\ntemp_pydantic_v1_params.py\ntemplating.py\ntestclient.py\ntypes.py\nutils.py\nwebsockets.py\n", "stderr": "", "exit_code": 0} |
| 21 | read_file | {
"filepath": "fastapi/temp_pydantic_v1_params.py"
} | {"status": "ok", "filepath": "fastapi/temp_pydantic_v1_params.py", "content": "import warnings\nfrom typing import Annotated, Any, Callable, Optional, Union\n\nfull{"status": "ok", "filepath": "fastapi/temp_pydantic_v1_params.py", "content": "import warnings\nfrom typing import Annotated, Any, Callable, Optional, Union\n\nfrom fastapi.exceptions import FastAPIDeprecationWarning\nfrom fastapi.openapi.models import Example\nfrom fastapi.params import ParamTypes\nfrom typing_extensions import deprecated\n\nfrom ._compat.may_v1 import FieldInfo, Undefined\n\n_Unset: Any = Undefined\n\n\nclass Param(FieldInfo):\n in_: ParamTypes\n\n def __init__(\n self,\n default: Any = Undefined,\n *,\n default_factory: Union[Callable[[], Any], None] = _Unset,\n annotation: Optional[Any] = None,\n alias: Optional[str] = None,\n alias_priority: Union[int, None] = _Unset,\n # TODO: update when deprecating Pydantic v1, import these types\n # validation_alias: str | AliasPath | AliasChoices | None\n validation_alias: Union[str, None] = None,\n serialization_alias: Union[str, None] = None,\n title: Optional[str] = None,\n description: Optional[str] = None,\n gt: Optional[float] = None,\n ge: Optional[float] = None,\n lt: Optional[float] = None,\n le: Optional[float] = None,\n min_length: Optional[int] = None,\n max_length: Optional[int] = None,\n pattern: Optional[str] = None,\n regex: Annotated[\n Optional[str],\n deprecated(\n \"Deprecated in FastAPI 0.100.0 and Pydantic v2, use `pattern` instead.\"\n ),\n ] = None,\n discriminator: Union[str, None] = None,\n strict: Union[bool, None] = _Unset,\n multiple_of: Union[float, None] = _Unset,\n allow_inf_nan: Union[bool, None] = _Unset,\n max_digits: Union[int, None] = _Unset,\n decimal_places: Union[int, None] = _Unset,\n examples: Optional[list[Any]] = None,\n example: Annotated[\n Optional[Any],\n deprecated(\n |
| 22 | run_command | {
"command": "grep -rn \"annotation_is_pydantic_v1\" fastapi | head -20"
} | {"status": "ok", "stdout": "fastapi/dependencies/utils.py:47:from fastapi._compat.shared import annotation_is_pydantic_v1\nfastapi/dependencies/utils.py:494: iffull{"status": "ok", "stdout": "fastapi/dependencies/utils.py:47:from fastapi._compat.shared import annotation_is_pydantic_v1\nfastapi/dependencies/utils.py:494: if annotation_is_pydantic_v1(use_annotation):\nfastapi/dependencies/utils.py:1045: if annotation_is_pydantic_v1(BodyModel):\nfastapi/_compat/__init__.py:39:from .shared import annotation_is_pydantic_v1 as annotation_is_pydantic_v1\nfastapi/_compat/shared.py:182:def annotation_is_pydantic_v1(annotation: Any) -> bool:\nfastapi/_compat/shared.py:192: if annotation_is_pydantic_v1(sub_annotation):\nfastapi/routing.py:32: annotation_is_pydantic_v1,\nfastapi/routing.py:640: if annotation_is_pydantic_v1(self.response_model):\nfastapi/routing.py:680: if annotation_is_pydantic_v1(model):\nfastapi/utils.py:21: annotation_is_pydantic_v1,\nfastapi/utils.py:102: annotation_is_pydantic_v1(type_)\n", "stderr": "", "exit_code": 0} |
| 23 | read_file | {
"filepath": "fastapi/routing.py",
"start_line": "30",
"end_line": "40"
} | {"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"}full{"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"} |
| 24 | run_command | {
"command": "head -n 100 fastapi/routing.py"
} | {"status": "ok", "stdout": "import email.message\nimport functools\nimport inspect\nimport json\nimport warnings\nfrom collections.abc import (\n AsyncIterator,full{"status": "ok", "stdout": "import email.message\nimport functools\nimport inspect\nimport json\nimport warnings\nfrom collections.abc import (\n AsyncIterator,\n Awaitable,\n Collection,\n Coroutine,\n Mapping,\n Sequence,\n)\nfrom contextlib import AsyncExitStack, asynccontextmanager\nfrom enum import Enum, IntEnum\nfrom typing import (\n Annotated,\n Any,\n Callable,\n Optional,\n Union,\n)\n\nfrom annotated_doc import Doc\nfrom fastapi import params, temp_pydantic_v1_params\nfrom fastapi._compat import (\n ModelField,\n Undefined,\n _get_model_config,\n _model_dump,\n _normalize_errors,\n annotation_is_pydantic_v1,\n lenient_issubclass,\n may_v1,\n)\nfrom fastapi.datastructures import Default, DefaultPlaceholder\nfrom fastapi.dependencies.models import Dependant\nfrom fastapi.dependencies.utils import (\n _should_embed_body_fields,\n get_body_field,\n get_dependant,\n get_flat_dependant,\n get_parameterless_sub_dependant,\n get_typed_return_annotation,\n solve_dependencies,\n)\nfrom fastapi.encoders import jsonable_encoder\nfrom fastapi.exceptions import (\n EndpointContext,\n FastAPIDeprecationWarning,\n FastAPIError,\n RequestValidationError,\n ResponseValidationError,\n WebSocketRequestValidationError,\n)\nfrom fastapi.types import DecoratedCallable, IncEx\nfrom fastapi.utils import (\n create_cloned_field,\n create_model_field,\n generate_unique_id,\n get_value_or_default,\n is_body_allowed_for_status_code,\n)\nfrom starlette import routing\nfrom starlette._exception_handler import wrap_app_handling_exceptions\nfrom starlette._utils import is_async_callable\nfrom starlette.concurrency import run_in_threadpool\nfrom starlette.exceptions import HTTPException\nfrom starlette.requests import Request\nfrom starlette.responses import JSONResponse, Response\nfrom starlette.routing import (\n BaseRoute,\n Match,\n compile_path,\n get_name,\n)\nf |
| 25 | read_file | {
"filepath": "fastapi/utils.py"
} | {"status": "ok", "filepath": "fastapi/utils.py", "content": "import re\nimport warnings\nfrom collections.abc import MutableMapping\nfrom typing import (\n TYPEfull{"status": "ok", "filepath": "fastapi/utils.py", "content": "import re\nimport warnings\nfrom collections.abc import MutableMapping\nfrom typing import (\n TYPE_CHECKING,\n Any,\n Optional,\n Union,\n cast,\n)\nfrom weakref import WeakKeyDictionary\n\nimport fastapi\nfrom fastapi._compat import (\n BaseConfig,\n ModelField,\n PydanticSchemaGenerationError,\n Undefined,\n UndefinedType,\n Validator,\n annotation_is_pydantic_v1,\n lenient_issubclass,\n may_v1,\n)\nfrom fastapi.datastructures import DefaultPlaceholder, DefaultType\nfrom fastapi.exceptions import FastAPIDeprecationWarning\nfrom pydantic import BaseModel\nfrom pydantic.fields import FieldInfo\nfrom typing_extensions import Literal\n\nfrom ._compat import v2\n\nif TYPE_CHECKING: # pragma: nocover\n from .routing import APIRoute\n\n# Cache for `create_cloned_field`\n_CLONED_TYPES_CACHE: MutableMapping[type[BaseModel], type[BaseModel]] = (\n WeakKeyDictionary()\n)\n\n\ndef is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:\n if status_code is None:\n return True\n # Ref: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#patterned-fields-1\n if status_code in {\n \"default\",\n \"1XX\",\n \"2XX\",\n \"3XX\",\n \"4XX\",\n \"5XX\",\n }:\n return True\n current_status_code = int(status_code)\n return not (current_status_code < 200 or current_status_code in {204, 205, 304})\n\n\ndef get_path_param_names(path: str) -> set[str]:\n return set(re.findall(\"{(.*?)}\", path))\n\n\n_invalid_args_message = (\n \"Invalid args for response field! Hint: \"\n \"check that {type_} is a valid Pydantic field type. \"\n \"If you are using a return type annotation that is not a valid Pydantic \"\n \"field (e.g. Union[Response, dict, None]) you can disable generating the \"\n \"response model from the type annotation with the path operation de |
| 26 | run_command | {
"command": "grep -rn \"pydantic.v1\" fastapi/_compat/v1.py"
} | {"status": "ok", "stdout": "14:from pydantic.v1 import BaseConfig as BaseConfig\n15:from pydantic.v1 import BaseModel as BaseModel\n16:from pydantic.v1 import Vfull{"status": "ok", "stdout": "14:from pydantic.v1 import BaseConfig as BaseConfig\n15:from pydantic.v1 import BaseModel as BaseModel\n16:from pydantic.v1 import ValidationError as ValidationError\n17:from pydantic.v1 import create_model as create_model\n18:from pydantic.v1.class_validators import Validator as Validator\n19:from pydantic.v1.color import Color as Color\n20:from pydantic.v1.error_wrappers import ErrorWrapper as ErrorWrapper\n21:from pydantic.v1.fields import (\n30:from pydantic.v1.fields import FieldInfo as FieldInfo\n31:from pydantic.v1.fields import ModelField as ModelField\n32:from pydantic.v1.fields import Undefined as Undefined\n33:from pydantic.v1.fields import UndefinedType as UndefinedType\n34:from pydantic.v1.networks import AnyUrl as AnyUrl\n35:from pydantic.v1.networks import NameEmail as NameEmail\n36:from pydantic.v1.schema import TypeModelSet as TypeModelSet\n37:from pydantic.v1.schema import field_schema, model_process_schema\n38:from pydantic.v1.schema import (\n41:from pydantic.v1.schema import (\n44:from pydantic.v1.schema import (\n47:from pydantic.v1.schema import get_model_name_map as get_model_name_map\n48:from pydantic.v1.types import SecretBytes as SecretBytes\n49:from pydantic.v1.types import SecretStr as SecretStr\n50:from pydantic.v1.typing import evaluate_forwardref as evaluate_forwardref\n51:from pydantic.v1.utils import lenient_issubclass as lenient_issubclass\n", "stderr": "", "exit_code": 0} |