fastapi_14482

{"status": "ok", "stdout": "./tests/test_inherited_custom_class.py:45:        model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_inherited_custom_class.py:89:            arbitrary_types_allowed = True\n./tests/test_compat.py:87:        model_config = ConfigDict(arbitrary_types_allowed=True)\n./tests/test_compat.py:92:            arbitrary_types_allowed=True,\n./tests/test_jsonable_encoder.py:248:            model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_jsonable_encoder.py:252:                arbitrary_types_allowed = True\n./tests/test_jsonable_encoder.py:264:            model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_jsonable_encoder.py:268:                arbitrary_types_allowed = True\n./tests/test_jsonable_encoder.py:279:            model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_jsonable_encoder.py:283:                arbitrary_types_allowed = True\n", "stderr": "", "exit_code": 0}

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

{"status": "error", "error_type": "CommandError", "error_message": "", "details": {"stdout": "", "stderr": "", "exit_code": 123}}

{"status": "ok", "stdout": "./tests/test_inherited_custom_class.py:45:        model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_inherited_custom_class.py:89:            arbitrary_types_allowed = True\n./tests/test_compat.py:87:        model_config = ConfigDict(arbitrary_types_allowed=True)\n./tests/test_compat.py:92:            arbitrary_types_allowed=True,\n./tests/test_jsonable_encoder.py:248:            model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_jsonable_encoder.py:252:                arbitrary_types_allowed = True\n./tests/test_jsonable_encoder.py:264:            model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_jsonable_encoder.py:268:                arbitrary_types_allowed = True\n./tests/test_jsonable_encoder.py:279:            model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_jsonable_encoder.py:283:                arbitrary_types_allowed = True\n", "stderr": "", "exit_code": 0}

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

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

{"status": "ok", "stdout": "./tests/test_inherited_custom_class.py:45:        model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_inherited_custom_class.py:89:            arbitrary_types_allowed = True\n./tests/test_compat.py:87:        model_config = ConfigDict(arbitrary_types_allowed=True)\n./tests/test_compat.py:92:            arbitrary_types_allowed=True,\n./tests/test_jsonable_encoder.py:248:            model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_jsonable_encoder.py:252:                arbitrary_types_allowed = True\n./tests/test_jsonable_encoder.py:264:            model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_jsonable_encoder.py:268:                arbitrary_types_allowed = True\n./tests/test_jsonable_encoder.py:279:            model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_jsonable_encoder.py:283:                arbitrary_types_allowed = True\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "fastapi/exception_handlers.py:1:from fastapi.encoders import jsonable_encoder\nfastapi/exception_handlers.py:25:        content={\"detail\": jsonable_encoder(exc.errors())},\nfastapi/exception_handlers.py:33:        code=WS_1008_POLICY_VIOLATION, reason=jsonable_encoder(exc.errors())\nfastapi/routing.py:47:from fastapi.encoders import jsonable_encoder\nfastapi/routing.py:295:        return jsonable_encoder(\nfastapi/routing.py:305:        return jsonable_encoder(response_content)\nfastapi/encoders.py:114:def jsonable_encoder(\nfastapi/encoders.py:247:        return jsonable_encoder(\nfastapi/encoders.py:258:        return jsonable_encoder(\nfastapi/encoders.py:294:                encoded_key = jsonable_encoder(\nfastapi/encoders.py:302:                encoded_value = jsonable_encoder(\nfastapi/encoders.py:316:                jsonable_encoder(\nfastapi/encoders.py:346:    return jsonable_encoder(\nfastapi/openapi/docs.py:5:from fastapi.encoders import jsonable_encoder\nfastapi/openapi/docs.py:137:        html += f\"{json.dumps(key)}: {json.dumps(jsonable_encoder(value))},\\n\"\nfastapi/openapi/docs.py:151:        ui.initOAuth({json.dumps(jsonable_encoder(init_oauth))})\nfastapi/openapi/utils.py:23:from fastapi.encoders import jsonable_encoder\nfastapi/openapi/utils.py:85:        security_definition = jsonable_encoder(\nfastapi/openapi/utils.py:168:                parameter[\"examples\"] = jsonable_encoder(openapi_examples)\nfastapi/openapi/utils.py:170:                parameter[\"example\"] = jsonable_encoder(example)\nfastapi/openapi/utils.py:203:        request_media_content[\"examples\"] = jsonable_encoder(\nfastapi/openapi/utils.py:207:        request_media_content[\"example\"] = jsonable_encoder(field_info.example)\nfastapi/openapi/utils.py:567:    return jsonable_encoder(OpenAPI(**output), by_alias=True, exclude_none=True)  # type: ignore\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "def jsonable_encoder(\n    obj: Annotated[\n        Any,\n        Doc(\n            \"\"\"\n            The input object to convert to JSON.\n            \"\"\"\n        ),\n    ],\n    include: Annotated[\n        Optional[IncEx],\n        Doc(\n            \"\"\"\n            Pydantic's `include` parameter, passed to Pydantic models to set the\n            fields to include.\n            \"\"\"\n        ),\n    ] = None,\n    exclude: Annotated[\n        Optional[IncEx],\n        Doc(\n            \"\"\"\n            Pydantic's `exclude` parameter, passed to Pydantic models to set the\n            fields to exclude.\n            \"\"\"\n        ),\n    ] = None,\n    by_alias: Annotated[\n        bool,\n        Doc(\n            \"\"\"\n            Pydantic's `by_alias` parameter, passed to Pydantic models to define if\n            the output should use the alias names (when provided) or the Python\n            attribute names. In an API, if you set an alias, it's probably because you\n            want to use it in the result, so you probably want to leave this set to\n            `True`.\n            \"\"\"\n        ),\n    ] = True,\n    exclude_unset: Annotated[\n        bool,\n        Doc(\n            \"\"\"\n            Pydantic's `exclude_unset` parameter, passed to Pydantic models to define\n            if it should exclude from the output the fields that were not explicitly\n            set (and that only had their default values).\n            \"\"\"\n        ),\n    ] = False,\n    exclude_defaults: Annotated[\n        bool,\n        Doc(\n            \"\"\"\n            Pydantic's `exclude_defaults` parameter, passed to Pydantic models to define\n            if it should exclude from the output the fields that had the same default\n            value, even when they were explicitly set.\n            \"\"\"\n        ),\n    ] = False,\n    exclude_none: Annotated[\n        bool,\n        Doc(\n            \"\"\"\n            P

{"status": "ok", "stdout": "            \"\"\"\n        ),\n    ] = True,\n) -> Any:\n    \"\"\"\n    Convert any object to something that can be encoded in JSON.\n\n    This is used internally by FastAPI to make sure anything you return can be\n    encoded as JSON before it is sent to the client.\n\n    You can also use it yourself, for example to convert objects before saving them\n    in a database that supports only JSON.\n\n    Read more about it in the\n    [FastAPI docs for JSON Compatible Encoder](https://fastapi.tiangolo.com/tutorial/encoder/).\n    \"\"\"\n    custom_encoder = custom_encoder or {}\n    if custom_encoder:\n        if type(obj) in custom_encoder:\n            return custom_encoder[type(obj)](obj)\n        else:\n            for encoder_type, encoder_instance in custom_encoder.items():\n                if isinstance(obj, encoder_type):\n                    return encoder_instance(obj)\n    if include is not None and not isinstance(include, (set, dict)):\n        include = set(include)\n    if exclude is not None and not isinstance(exclude, (set, dict)):\n        exclude = set(exclude)\n    if isinstance(obj, (BaseModel, may_v1.BaseModel)):\n        # TODO: remove when deprecating Pydantic v1\n        encoders: Dict[Any, Any] = {}\n        if isinstance(obj, may_v1.BaseModel):\n            encoders = getattr(obj.__config__, \"json_encoders\", {})  # type: ignore[attr-defined]\n            if custom_encoder:\n                encoders = {**encoders, **custom_encoder}\n        obj_dict = _model_dump(\n            obj,\n            mode=\"json\",\n            include=include,\n            exclude=exclude,\n            by_alias=by_alias,\n            exclude_unset=exclude_unset,\n            exclude_none=exclude_none,\n            exclude_defaults=exclude_defaults,\n        )\n        if \"__root__\" in obj_dict:\n            obj_dict = obj_dict[\"__root__\"]\n        return jsonable_encoder(\n            obj_dict,\n            exclude_none=exclude

{"status": "ok", "stdout": "        by_alias=by_alias,\n        exclude_unset=exclude_unset,\n        exclude_defaults=exclude_defaults,\n        exclude_none=exclude_none,\n        custom_encoder=custom_encoder,\n        sqlalchemy_safe=sqlalchemy_safe,\n    )\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "23:from pydantic import BaseModel\n228:    if isinstance(obj, (BaseModel, may_v1.BaseModel)):\n231:        if isinstance(obj, may_v1.BaseModel):\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "248:            model_config = {\"arbitrary_types_allowed\": True}\n252:                arbitrary_types_allowed = True\n264:            model_config = {\"arbitrary_types_allowed\": True}\n268:                arbitrary_types_allowed = True\n279:            model_config = {\"arbitrary_types_allowed\": True}\n283:                arbitrary_types_allowed = True\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    assert encoded_instance == custom_enum_encoder(instance)\n\n\ndef test_encode_model_with_pure_path():\n    class ModelWithPath(BaseModel):\n        path: PurePath\n\n        if PYDANTIC_V2:\n            model_config = {\"arbitrary_types_allowed\": True}\n        else:\n\n            class Config:\n                arbitrary_types_allowed = True\n\n    test_path = PurePath(\"/foo\", \"bar\")\n    obj = ModelWithPath(path=test_path)\n    assert jsonable_encoder(obj) == {\"path\": str(test_path)}\n\n\ndef test_encode_model_with_pure_posix_path():\n    class ModelWithPath(BaseModel):\n        path: PurePosixPath\n\n        if PYDANTIC_V2:\n            model_config = {\"arbitrary_types_allowed\": True}\n        else:\n\n            class Config:\n                arbitrary_types_allowed = True\n\n    obj = ModelWithPath(path=PurePosixPath(\"/foo\", \"bar\"))\n    assert jsonable_encoder(obj) == {\"path\": \"/foo/bar\"}\n\n\ndef test_encode_model_with_pure_windows_path():\n    class ModelWithPath(BaseModel):\n        path: PureWindowsPath\n\n        if PYDANTIC_V2:\n            model_config = {\"arbitrary_types_allowed\": True}\n        else:\n\n            class Config:\n                arbitrary_types_allowed = True\n\n    obj = ModelWithPath(path=PureWindowsPath(\"/foo\", \"bar\"))\n    assert jsonable_encoder(obj) == {\"path\": \"\\\\foo\\\\bar\"}\n\n\n@needs_pydanticv1\ndef test_encode_root():\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "45:        model_config = {\"arbitrary_types_allowed\": True}\n89:            arbitrary_types_allowed = True\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "def test_pydanticv2():\n    from pydantic import field_serializer\n\n    app = FastAPI()\n\n    @app.get(\"/fast_uuid\")\n    def return_fast_uuid():\n        asyncpg_uuid = MyUuid(\"a10ff360-3b1e-4984-a26f-d3ab460bdb51\")\n        assert isinstance(asyncpg_uuid, uuid.UUID)\n        assert type(asyncpg_uuid) is not uuid.UUID\n        with pytest.raises(TypeError):\n            vars(asyncpg_uuid)\n        return {\"fast_uuid\": asyncpg_uuid}\n\n    class SomeCustomClass(BaseModel):\n        model_config = {\"arbitrary_types_allowed\": True}\n\n        a_uuid: MyUuid\n\n        @field_serializer(\"a_uuid\")\n        def serialize_a_uuid(self, v):\n            return str(v)\n\n    @app.get(\"/get_custom_class\")\n    def return_some_user():\n        # Test that the fix also works for custom pydantic classes\n        return SomeCustomClass(a_uuid=MyUuid(\"b8799909-f914-42de-91bc-95c819218d01\"))\n\n    client = TestClient(app)\n\n    with client:\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    }\n\n\n# TODO: remove when deprecating Pydantic v1\n@needs_pydanticv1\ndef test_pydanticv1():\n    app = FastAPI()\n\n    @app.get(\"/fast_uuid\")\n    def return_fast_uuid():\n        asyncpg_uuid = MyUuid(\"a10ff360-3b1e-4984-a26f-d3ab460bdb51\")\n        assert isinstance(asyncpg_uuid, uuid.UUID)\n        assert type(asyncpg_uuid) is not uuid.UUID\n        with pytest.raises(TypeError):\n            vars(asyncpg_uuid)\n        return {\"fast_uuid\": asyncpg_uuid}\n\n    class SomeCustomClass(BaseModel):\n        class Config:\n            arbitrary_types_allowed = True\n            json_encoders = {uuid.UUID: str}\n\n        a_uuid: MyUuid\n\n    @app.get(\"/get_custom_class\")\n    def return_some_user():\n        # Test that the fix also works for custom pydantic classes\n        return SomeCustomClass(a_uuid=MyUuid(\"b8799909-f914-42de-91bc-95c819218d01\"))\n\n    client = TestClient(app)\n\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "87:        model_config = ConfigDict(arbitrary_types_allowed=True)\n92:            arbitrary_types_allowed=True,\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    assert response.status_code == 200, response.text\n    assert response.json() == \"bar\"\n\n    response2 = client.post(\"/\", json=[1, 2])\n    assert response2.status_code == 200, response2.text\n    assert response2.json() == [1, 2]\n\n\n@needs_pydanticv2\ndef test_propagates_pydantic2_model_config():\n    app = FastAPI()\n\n    class Missing:\n        def __bool__(self):\n            return False\n\n    class EmbeddedModel(BaseModel):\n        model_config = ConfigDict(arbitrary_types_allowed=True)\n        value: Union[str, Missing] = Missing()\n\n    class Model(BaseModel):\n        model_config = ConfigDict(\n            arbitrary_types_allowed=True,\n        )\n        value: Union[str, Missing] = Missing()\n        embedded_model: EmbeddedModel = EmbeddedModel()\n\n    @app.post(\"/\")\n    def foo(req: Model) -> Dict[str, Union[str, None]]:\n        return {\n            \"value\": req.value or None,\n            \"embedded_value\": req.embedded_model.value or None,\n        }\n\n    client = TestClient(app)\n\n    response = client.post(\"/\", json={})\n    assert response.status_code == 200, response.text\n    assert response.json() == {\n        \"value\": None,\n        \"embedded_value\": None,\n", "stderr": "", "exit_code": 0}

{"status": "error", "error_type": "CommandError", "error_message": "  File \"<string>\", line 1\n    from pydantic import BaseModel; class M(BaseModel): model_config = {'arbitrary_types_allowed': True}; m = M(); print(m.model_dump())\n                                    ^^^^^\nSyntaxError: invalid syntax\n", "details": {"stdout": "", "stderr": "  File \"<string>\", line 1\n    from pydantic import BaseModel; class M(BaseModel): model_config = {'arbitrary_types_allowed': True}; m = M(); print(m.model_dump())\n                                    ^^^^^\nSyntaxError: invalid syntax\n", "exit_code": 1}}

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