fastapi_14246

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{"status": "ok", "stdout": "./docs/de/docs/how-to/migrate-from-pydantic-v1-to-pydantic-v2.md:19:Wenn Sie eine \u00e4ltere FastAPI-App mit Pydantic v1 haben, zeige ich Ihnen hier, wie Sie sie zu Pydantic v2 migrieren, und die **neuen Features in FastAPI 0.119.0**, die Ihnen bei einer schrittweisen Migration helfen.\n./docs/de/docs/how-to/migrate-from-pydantic-v1-to-pydantic-v2.md:55:Seit FastAPI 0.119.0 gibt es au\u00dferdem eine teilweise Unterst\u00fctzung f\u00fcr Pydantic v1 innerhalb von Pydantic v2, um die Migration auf v2 zu erleichtern.\n./docs/en/docs/release-notes.md:61:## 0.119.0\n./docs/en/docs/how-to/migrate-from-pydantic-v1-to-pydantic-v2.md:19:If you have an old FastAPI app with Pydantic v1, here I'll show you how to migrate it to Pydantic v2, and the **new features in FastAPI 0.119.0** to help you with a gradual migration.\n./docs/en/docs/how-to/migrate-from-pydantic-v1-to-pydantic-v2.md:55:Since FastAPI 0.119.0, there's also partial support for Pydantic v1 from inside of Pydantic v2, to facilitate the migration to v2.\n", "stderr": "", "exit_code": 0}

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{"status": "ok", "stdout": "fastapi/datastructures.py:156:    # TODO: remove when deprecating Pydantic v1\nfastapi/dependencies/utils.py:541:                    # For Pydantic v1\nfastapi/_compat/main.py:301:    # Pydantic v1 is not supported since Python 3.14\nfastapi/_compat/v2.py:189:        # TODO remove when deprecating Pydantic v1\nfastapi/_compat/v2.py:381:# Duplicate of several schema functions from Pydantic v1 to make them compatible with\nfastapi/temp_pydantic_v1_params.py:25:        # TODO: update when deprecating Pydantic v1, import these types\nfastapi/temp_pydantic_v1_params.py:126:        # TODO: update when deprecating Pydantic v1, import these types\nfastapi/temp_pydantic_v1_params.py:212:        # TODO: update when deprecating Pydantic v1, import these types\nfastapi/temp_pydantic_v1_params.py:296:        # TODO: update when deprecating Pydantic v1, import these types\nfastapi/temp_pydantic_v1_params.py:382:        # TODO: update when deprecating Pydantic v1, import these types\nfastapi/temp_pydantic_v1_params.py:466:        # TODO: update when deprecating Pydantic v1, import these types\nfastapi/temp_pydantic_v1_params.py:569:        # TODO: update when deprecating Pydantic v1, import these types\nfastapi/temp_pydantic_v1_params.py:653:        # TODO: update when deprecating Pydantic v1, import these types\nfastapi/routing.py:602:            # TODO: remove when deprecating Pydantic v1\nfastapi/encoders.py:32:# Taken from Pydantic v1 as is\nfastapi/encoders.py:37:# Taken from Pydantic v1 as is\nfastapi/encoders.py:225:        # TODO: remove when deprecating Pydantic v1\nfastapi/encoders.py:247:            # TODO: remove when deprecating Pydantic v1\nfastapi/param_functions.py:56:    # TODO: update when deprecating Pydantic v1, import these types\nfastapi/param_functions.py:381:    # TODO: update when deprecating Pydantic v1, import these types\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "fastapi/:\n__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\nfastapi/_compat:\n__init__.py\nmain.py\nmay_v1.py\nmodel_field.py\nshared.py\nv1.py\nv2.py\n\nfastapi/dependencies:\n__init__.py\nmodels.py\nutils.py\n\nfastapi/middleware:\n__init__.py\nasyncexitstack.py\ncors.py\ngzip.py\nhttpsredirect.py\ntrustedhost.py\nwsgi.py\n\nfastapi/openapi:\n__init__.py\nconstants.py\ndocs.py\nmodels.py\nutils.py\n\nfastapi/security:\n__init__.py\napi_key.py\nbase.py\nhttp.py\noauth2.py\nopen_id_connect_url.py\nutils.py\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "fastapi/_compat/v1.py:177:        m_schema, m_definitions, m_nested_models = model_process_schema(\nfastapi/routing.py:204:    original_context: Lifespan[Any], nested_context: Lifespan[Any]\nfastapi/routing.py:211:            async with nested_context(app) as maybe_nested_state:\nfastapi/routing.py:212:                if maybe_nested_state is None and maybe_original_state is None:\nfastapi/routing.py:215:                    yield {**(maybe_nested_state or {}), **(maybe_original_state or {})}\n", "stderr": "", "exit_code": 0}

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{"status": "error", "error_type": "FileReadError", "error_message": "File '``' not found in workspace."}

{"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"}

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{"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'", "budget_warning": "Only 9 tool call(s) remaining (51/60 used). Finalize your edits and call submit_patch soon."}

{"status": "ok", "stdout": "/workspace/fastapi/_compat/v1.py\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": "def get_model_definitions(\n    *,\n    flat_models: Set[Union[Type[BaseModel], Type[Enum]]],\n    model_name_map: Dict[Union[Type[BaseModel], Type[Enum]], str],\n) -> Dict[str, Any]:\n    definitions: Dict[str, Dict[str, Any]] = {}\n    for model in flat_models:\n        m_schema, m_definitions, m_nested_models = model_process_schema(\n            model, model_name_map=model_name_map, ref_prefix=REF_PREFIX\n        )\n        definitions.update(m_definitions)\n        model_name = model_name_map[model]\n        definitions[model_name] = m_schema\n    for m_schema in definitions.values():\n        if \"description\" in m_schema:\n            m_schema[\"description\"] = m_schema[\"description\"].split(\"\\f\")[0]\n    return definitions\n\n\ndef is_pv1_scalar_field(field: ModelField) -> bool:\n    from fastapi import params\n\n    field_info = field.field_info\n    if not (\n        field.shape == SHAPE_SINGLETON\n        and not lenient_issubclass(field.type_, BaseModel)\n        and not lenient_issubclass(field.type_, dict)\n        and not shared.field_annotation_is_sequence(field.type_)\n        and not is_dataclass(field.type_)\n        and not isinstance(field_info, params.Body)\n    ):\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": "    )\n    from pydantic.v1.schema import TypeModelSet as TypeModelSet\n    from pydantic.v1.schema import (\n        field_schema,\n        model_process_schema,\n    )\n    from pydantic.v1.schema import (\n        get_annotation_from_field_info as get_annotation_from_field_info,\n    )\n    from pydantic.v1.schema import (\n        get_flat_models_from_field as get_flat_models_from_field,\n    )\n    from pydantic.v1.schema import (\n        get_flat_models_from_fields as get_flat_models_from_fields,\n    )\n    from pydantic.v1.schema import get_model_name_map as get_model_name_map\n    from pydantic.v1.types import (  # type: ignore[assignment]\n        SecretBytes as SecretBytes,\n    )\n    from pydantic.v1.types import (  # type: ignore[assignment]\n        SecretStr as SecretStr,\n    )\n    from pydantic.v1.typing import evaluate_forwardref as evaluate_forwardref\n    from pydantic.v1.utils import lenient_issubclass as lenient_issubclass\n\n\nGetJsonSchemaHandler = Any\nJsonSchemaValue = Dict[str, Any]\nCoreSchema = Any\nUrl = AnyUrl\n\nsequence_shapes = {\n    SHAPE_LIST,\n    SHAPE_SET,\n    SHAPE_FROZENSET,\n    SHAPE_TUPLE,\n    SHAPE_SEQUENCE,\n    SHAPE_TUPLE_ELLIPSIS,\n}\nsequence_shape_to_type = {\n    SHAPE_LIST: list,\n    SHAPE_SET: set,\n    SHAPE_TUPLE: tuple,\n    SHAPE_SEQUENCE: list,\n    SHAPE_TUPLE_ELLIPSIS: list,\n}\n\n\n@dataclass\nclass GenerateJsonSchema:\n    ref_template: str\n\n\nclass PydanticSchemaGenerationError(Exception):\n    pass\n\n\nRequestErrorModel: Type[BaseModel] = create_model(\"Request\")\n\n\ndef with_info_plain_validator_function(\n    function: Callable[..., Any],\n    *,\n    ref: Union[str, None] = None,\n    metadata: Any = None,\n    serialization: Any = None,\n) -> Any:\n    return {}\n\n\ndef get_model_definitions(\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", "patch_size": 0, "files_changed": 0}