failed WRONG_FIX wrong_fix ยท 36 tool calls ยท 303 s ยท fastapi/fastapi
๐ Fix handling arbitrary types when using `arbitrary_types_allowed=True` ๐ Fix handling arbitrary types when using `arbitrary_types_allowed=True` Related to https://github.com/fastapi/fastapi/discussions/14184, https://github.com/fastapi/fastapi/issues/14483
| # | Tool | Arguments | Result |
|---|---|---|---|
| 1 | run_command | {
"command": "grep -rn \"arbitrary_types_allowed\" . | head -20"
} | {"status": "ok", "stdout": "./tests/test_inherited_custom_class.py:45: model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_inherited_custom_class.pfull{"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} |
| 2 | run_command | {
"command": "grep -rn \"arbitrary_types_allowed\" fastapi/ | head -20"
} | {"status": "ok", "stdout": "", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "", "stderr": "", "exit_code": 0} |
| 3 | run_command | {
"command": "grep -rn \"arbitrary_types_allowed\" . | grep \"fastapi/\""
} | {"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}} |
| 4 | run_command | {
"command": "ls -R fastapi/ | grep \"dependencies\""
} | {"status": "ok", "stdout": "dependencies\nfastapi/dependencies:\n", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "dependencies\nfastapi/dependencies:\n", "stderr": "", "exit_code": 0} |
| 5 | run_command | {
"command": "grep -rn \"arbitrary_types_allowed\" . | grep \"pydantic\""
} | {"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}} |
| 6 | run_command | {
"command": "grep -rn \"arbitrary_types_allowed\" /workspace | head -20"
} | {"status": "ok", "stdout": "/workspace/tests/test_inherited_custom_class.py:45: model_config = {\"arbitrary_types_allowed\": True}\n/workspace/tests/test_inherifull{"status": "ok", "stdout": "/workspace/tests/test_inherited_custom_class.py:45: model_config = {\"arbitrary_types_allowed\": True}\n/workspace/tests/test_inherited_custom_class.py:89: arbitrary_types_allowed = True\n/workspace/tests/test_compat.py:87: model_config = ConfigDict(arbitrary_types_allowed=True)\n/workspace/tests/test_compat.py:92: arbitrary_types_allowed=True,\n/workspace/tests/test_jsonable_encoder.py:248: model_config = {\"arbitrary_types_allowed\": True}\n/workspace/tests/test_jsonable_encoder.py:252: arbitrary_types_allowed = True\n/workspace/tests/test_jsonable_encoder.py:264: model_config = {\"arbitrary_types_allowed\": True}\n/workspace/tests/test_jsonable_encoder.py:268: arbitrary_types_allowed = True\n/workspace/tests/test_jsonable_encoder.py:279: model_config = {\"arbitrary_types_allowed\": True}\n/workspace/tests/test_jsonable_encoder.py:283: arbitrary_types_allowed = True\n", "stderr": "", "exit_code": 0} |
| 7 | run_command | {
"command": "grep -rn \"arbitrary_types_allowed\" /workspace/fastapi | head -20"
} | {"status": "ok", "stdout": "", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "", "stderr": "", "exit_code": 0} |
| 8 | run_command | {
"command": "grep -rn \"jsonable_encoder\" fastapi/ | head -20"
} | {"status": "ok", "stdout": "fastapi/exception_handlers.py:1:from fastapi.encoders import jsonable_encoder\nfastapi/exception_handlers.py:25: content={\"detail\"full{"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)\n", "stderr": "", "exit_code": 0} |
| 9 | run_command | {
"command": "sed -n '114,350p' fastapi/encoders.py"
} | {"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: full{"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 |
| 10 | run_command | {
"command": "sed -n '240,350p' fastapi/encoders.py"
} | {"status": "ok", "stdout": " by_alias=by_alias,\n exclude_unset=exclude_unset,\n exclude_none=exclude_none,\n exclude_defaults=exclude_defaults,\n )\n if \"__rofull{"status": "ok", "stdout": " 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_none,\n exclude_defaults=exclude_defaults,\n # TODO: remove when deprecating Pydantic v1\n custom_encoder=encoders,\n sqlalchemy_safe=sqlalchemy_safe,\n )\n if dataclasses.is_dataclass(obj):\n assert not isinstance(obj, type)\n obj_dict = dataclasses.asdict(obj)\n return jsonable_encoder(\n obj_dict,\n include=include,\n exclude=exclude,\n 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 if isinstance(obj, Enum):\n return obj.value\n if isinstance(obj, PurePath):\n return str(obj)\n if isinstance(obj, (str, int, float, type(None))):\n return obj\n if _is_undefined(obj):\n return None\n if isinstance(obj, dict):\n encoded_dict = {}\n allowed_keys = set(obj.keys())\n if include is not None:\n allowed_keys &= set(include)\n if exclude is not None:\n allowed_keys -= set(exclude)\n for key, value in obj.items():\n if (\n (\n not sqlalchemy_safe\n or (not isinstance(key, str))\n or (not key.startswith(\"_sa\"))\n )\n and (value is not None or not exclude_none)\n and key in allowed_keys\n ):\n encoded_key = jsonable_encoder(\n |
| 11 | run_command | {
"command": "cat tests/test_jsonable_encoder.py | sed -n '240,290p'"
} | {"status": "ok", "stdout": " assert encoded_instance == custom_enum_encoder(instance)\n\n\ndef test_encode_model_with_pure_path():\n class ModelWithPath(BaseModfull{"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} |
| 12 | run_command | {
"command": "cat tests/test_jsonable_encoder.py | grep -n \"arbitrary_types_allowed\" -A 5 -B 5"
} | {"status": "ok", "stdout": "243-def test_encode_model_with_pure_path():\n244- class ModelWithPath(BaseModel):\n245- path: PurePath\n246-\n247- if PYDANTIC_V2:\nfull{"status": "ok", "stdout": "243-def test_encode_model_with_pure_path():\n244- class ModelWithPath(BaseModel):\n245- path: PurePath\n246-\n247- if PYDANTIC_V2:\n248: model_config = {\"arbitrary_types_allowed\": True}\n249- else:\n250-\n251- class Config:\n252: arbitrary_types_allowed = True\n253-\n254- test_path = PurePath(\"/foo\", \"bar\")\n255- obj = ModelWithPath(path=test_path)\n256- assert jsonable_encoder(obj) == {\"path\": str(test_path)}\n257-\n--\n259-def test_encode_model_with_pure_posix_path():\n260- class ModelWithPath(BaseModel):\n261- path: PurePosixPath\n262-\n263- if PYDANTIC_V2:\n264: model_config = {\"arbitrary_types_allowed\": True}\n265- else:\n266-\n267- class Config:\n268: arbitrary_types_allowed = True\n269-\n270- obj = ModelWithPath(path=PurePosixPath(\"/foo\", \"bar\"))\n271- assert jsonable_encoder(obj) == {\"path\": \"/foo/bar\"}\n272-\n273-\n274-def test_encode_model_with_pure_windows_path():\n275- class ModelWithPath(BaseModel):\n276- path: PureWindowsPath\n277-\n278- if PYDANTIC_V2:\n279: model_config = {\"arbitrary_types_allowed\": True}\n280- else:\n281-\n282- class Config:\n283: arbitrary_types_allowed = True\n284-\n285- obj = ModelWithPath(path=PureWindowsPath(\"/foo\", \"bar\"))\n286- assert jsonable_encoder(obj) == {\"path\": \"\\\\foo\\\\bar\"}\n287-\n288-\n", "stderr": "", "exit_code": 0} |
| 13 | run_command | {
"command": "cat tests/test_jsonable_encoder.py | grep -n \"arbitrary_types_allowed\" -A 20 -B 20 | grep -v \"PurePath\" | head -20"
} | {"status": "ok", "stdout": "228-def test_custom_enum_encoders():\n229- def custom_enum_encoder(v: Enum):\n230- return v.value.lower()\n231-\n232- class MyEnum(Efull{"status": "ok", "stdout": "228-def test_custom_enum_encoders():\n229- def custom_enum_encoder(v: Enum):\n230- return v.value.lower()\n231-\n232- class MyEnum(Enum):\n233- ENUM_VAL_1 = \"ENUM_VAL_1\"\n234-\n235- instance = MyEnum.ENUM_VAL_1\n236-\n237- encoded_instance = jsonable_encoder(\n238- instance, custom_encoder={MyEnum: custom_enum_encoder}\n239- )\n240- assert encoded_instance == custom_enum_encoder(instance)\n241-\n242-\n243-def test_encode_model_with_pure_path():\n244- class ModelWithPath(BaseModel):\n246-\n247- if PYDANTIC_V2:\n248: model_config = {\"arbitrary_types_allowed\": True}\n", "stderr": "", "exit_code": 0} |
| 14 | run_command | {
"command": "cat tests/test_inherited_custom_class.py"
} | {"status": "ok", "stdout": "import uuid\n\nimport pytest\nfrom fastapi import FastAPI\nfrom fastapi.testclient import TestClient\nfrom pydantic import BaseModelfull{"status": "ok", "stdout": "import uuid\n\nimport pytest\nfrom fastapi import FastAPI\nfrom fastapi.testclient import TestClient\nfrom pydantic import BaseModel\n\nfrom .utils import needs_pydanticv1, needs_pydanticv2\n\n\nclass MyUuid:\n def __init__(self, uuid_string: str):\n self.uuid = uuid_string\n\n def __str__(self):\n return self.uuid\n\n @property # type: ignore\n def __class__(self):\n return uuid.UUID\n\n @property\n def __dict__(self):\n \"\"\"Spoof a missing __dict__ by raising TypeError, this is how\n asyncpg.pgroto.pgproto.UUID behaves\"\"\"\n raise TypeError(\"vars() argument must have __dict__ attribute\")\n\n\n@needs_pydanticv2\ndef 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 response_simple = client.get(\"/fast_uuid\")\n response_pydantic = client.get(\"/get_custom_class\")\n\n assert response_simple.json() == {\n \"fast_uuid\": \"a10ff360-3b1e-4984-a26f-d3ab460bdb51\"\n }\n\n assert response_pydantic.json() == {\n \"a_uuid\": \"b8799909-f914-42de-91bc-95c81 |
| 15 | run_command | {
"command": "python3 -m pytest tests/test_inherited_custom_class.py"
} | {"status": "ok", "stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.13.14, pytest-9.1.1, plfull{"status": "ok", "stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.13.14, pytest-9.1.1, pluggy-1.6.0\ncodspeed: 5.0.3 (disabled, mode: walltime, callgraph: enabled, timer_resolution: 1.0ns)\nrootdir: /workspace\nconfigfile: pytest.ini (WARNING: ignoring pytest config in pyproject.toml!)\nplugins: anyio-4.15.1, sugar-1.1.1, inline-snapshot-0.35.4, timeout-2.4.0, xdist-3.8.0, codspeed-5.0.3, cov-7.1.0\ncollected 2 items\n\ntests/test_inherited_custom_class.py .s [100%]\n\n=============================== warnings summary ===============================\n../../../../../../kaggle/tmp/envs/overlays/starlette-0.50.0-py3-none-any/starlette/testclient.py:45\n /kaggle/tmp/envs/overlays/starlette-0.50.0-py3-none-any/starlette/testclient.py:45: DeprecationWarning: The anyio.abc.BlockingPortal alias is deprecated, use anyio.from_thread.BlockingPortal instead.\n _PortalFactoryType = Callable[[], AbstractContextManager[anyio.abc.BlockingPortal]]\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=================== 1 passed, 1 skipped, 1 warning in 0.60s ====================\n", "stderr": "", "exit_code": 0} |
| 16 | run_command | {
"command": "cat tests/test_compat.py | grep -n \"arbitrary_types_allowed\" -A 10 -B 10"
} | {"status": "ok", "stdout": "77-\n78-@needs_pydanticv2\n79-def test_propagates_pydantic2_model_config():\n80- app = FastAPI()\n81-\n82- class Missing:\n83- def _full{"status": "ok", "stdout": "77-\n78-@needs_pydanticv2\n79-def test_propagates_pydantic2_model_config():\n80- app = FastAPI()\n81-\n82- class Missing:\n83- def __bool__(self):\n84- return False\n85-\n86- class EmbeddedModel(BaseModel):\n87: model_config = ConfigDict(arbitrary_types_allowed=True)\n88- value: Union[str, Missing] = Missing()\n89-\n90- class Model(BaseModel):\n91- model_config = ConfigDict(\n92: arbitrary_types_allowed=True,\n93- )\n94- value: Union[str, Missing] = Missing()\n95- embedded_model: EmbeddedModel = EmbeddedModel()\n96-\n97- @app.post(\"/\")\n98- def foo(req: Model) -> Dict[str, Union[str, None]]:\n99- return {\n100- \"value\": req.value or None,\n101- \"embedded_value\": req.embedded_model.value or None,\n102- }\n", "stderr": "", "exit_code": 0} |
| 17 | run_command | {
"command": "python3 -m pytest tests/test_compat.py -k test_propagates_pydantic2_model_config"
} | {"status": "ok", "stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.13.14, pytest-9.1.1, plfull{"status": "ok", "stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.13.14, pytest-9.1.1, pluggy-1.6.0\ncodspeed: 5.0.3 (disabled, mode: walltime, callgraph: enabled, timer_resolution: 1.0ns)\nrootdir: /workspace\nconfigfile: pytest.ini (WARNING: ignoring pytest config in pyproject.toml!)\nplugins: anyio-4.15.1, sugar-1.1.1, inline-snapshot-0.35.4, timeout-2.4.0, xdist-3.8.0, codspeed-5.0.3, cov-7.1.0\ncollected 13 items / 12 deselected / 1 selected\n\ntests/test_compat.py . [100%]\n\n=============================== warnings summary ===============================\n../../../../../../kaggle/tmp/envs/overlays/starlette-0.50.0-py3-none-any/starlette/testclient.py:45\n /kaggle/tmp/envs/overlays/starlette-0.50.0-py3-none-any/starlette/testclient.py:45: DeprecationWarning: The anyio.abc.BlockingPortal alias is deprecated, use anyio.from_thread.BlockingPortal instead.\n _PortalFactoryType = Callable[[], AbstractContextManager[anyio.abc.BlockingPortal]]\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n================= 1 passed, 12 deselected, 1 warning in 1.60s ==================\n", "stderr": "", "exit_code": 0} |
| 18 | run_command | {
"command": "cat tests/test_jsonable_encoder.py | grep -n \"arbitrary_types_allowed\" -A 20 -B 20 | grep -v \"PurePath\" | head -40"
} | {"status": "ok", "stdout": "228-def test_custom_enum_encoders():\n229- def custom_enum_encoder(v: Enum):\n230- return v.value.lower()\n231-\n232- class MyEnum(Efull{"status": "ok", "stdout": "228-def test_custom_enum_encoders():\n229- def custom_enum_encoder(v: Enum):\n230- return v.value.lower()\n231-\n232- class MyEnum(Enum):\n233- ENUM_VAL_1 = \"ENUM_VAL_1\"\n234-\n235- instance = MyEnum.ENUM_VAL_1\n236-\n237- encoded_instance = jsonable_encoder(\n238- instance, custom_encoder={MyEnum: custom_enum_encoder}\n239- )\n240- assert encoded_instance == custom_enum_encoder(instance)\n241-\n242-\n243-def test_encode_model_with_pure_path():\n244- class ModelWithPath(BaseModel):\n246-\n247- if PYDANTIC_V2:\n248: model_config = {\"arbitrary_types_allowed\": True}\n249- else:\n250-\n251- class Config:\n252: arbitrary_types_allowed = True\n253-\n255- obj = ModelWithPath(path=test_path)\n256- assert jsonable_encoder(obj) == {\"path\": str(test_path)}\n257-\n258-\n259-def test_encode_model_with_pure_posix_path():\n260- class ModelWithPath(BaseModel):\n261- path: PurePosixPath\n262-\n263- if PYDANTIC_V2:\n264: model_config = {\"arbitrary_types_allowed\": True}\n265- else:\n266-\n267- class Config:\n268: arbitrary_types_allowed = True\n269-\n", "stderr": "", "exit_code": 0} |
| 19 | run_command | {
"command": "cat <<EOF > /tmp/repro.py\nfrom pydantic import BaseModel, ConfigDict\nfrom fastapi.encoders import jsonable_encoder\n\nclass MyType:\n def __init__(self, value):\n self.value = value\n def __repr__(self):\n return f\"MyType({self.value})\"\n\nclass Model(BaseModel):\n model_config = ConfigDict(arbitrary_types_allowed=True)\n item: MyType\n\nmy_item = MyType(\"hello\")\nmodel = Model(item=my_item)\n\ntry:\n encoded = jsonable_encoder(model)\n print(f\"Encoded: {encoded}\")\nexcept Exception as e:\n print(f\"Error: {e}\")\nEOF\npython3 /tmp/repro.py"
} | {"status": "ok", "stdout": "Error: Unable to serialize unknown type: <class '__main__.MyType'>\n", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "Error: Unable to serialize unknown type: <class '__main__.MyType'>\n", "stderr": "", "exit_code": 0} |
| 20 | run_command | {
"command": "cat <<EOF > /tmp/repro_v1.py\nfrom pydantic import BaseModel\nfrom fastapi.encoders import jsonable_encoder\n\nclass MyType:\n def __init__(self, value):\n self.value = value\n def __repr__(self):\n return f\"MyType({self.value})\"\n\nclass Model(BaseModel):\n class Config:\n arbitrary_types_allowed = True\n item: MyType\n\nmy_item = MyType(\"hello\")\nmodel = Model(item=my_item)\n\ntry:\n encoded = jsonable_encoder(model)\n print(f\"Encoded: {encoded}\")\nexcept Exception as e:\n print(f\"Error: {e}\")\nEOF\npython3 /tmp/repro_v1.py"
} | {"status": "ok", "stdout": "Error: Unable to serialize unknown type: <class '__main__.MyType'>\n", "stderr": "/tmp/repro_v1.py:10: PydanticDeprecatedSince20: Sufull{"status": "ok", "stdout": "Error: Unable to serialize unknown type: <class '__main__.MyType'>\n", "stderr": "/tmp/repro_v1.py:10: PydanticDeprecatedSince20: Support for class-based `config` is deprecated, use ConfigDict instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.13/migration/\n class Model(BaseModel):\n", "exit_code": 0} |
| 21 | run_command | {
"command": "grep -rn \"Unable to serialize unknown type\" fastapi/"
} | {"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}} |
| 22 | run_command | {
"command": "grep -rn \"Unable to serialize unknown type\" ."
} | {"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}} |
| 23 | run_command | {
"command": "python3 -c \"from pydantic import BaseModel; print(BaseModel.model_dump)\""
} | {"status": "ok", "stdout": "<function BaseModel.model_dump at 0x7a7244dc4c20>\n", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "<function BaseModel.model_dump at 0x7a7244dc4c20>\n", "stderr": "", "exit_code": 0} |
| 24 | run_command | {
"command": "cat <<EOF > /tmp/debug_pydantic.py\nfrom pydantic import BaseModel, ConfigDict\nimport json\n\nclass MyType:\n def __init__(self, value):\n self.value = value\n def __repr__(self):\n return f\"MyType({self.value})\"\n\nclass Model(BaseModel):\n model_config = ConfigDict(arbitrary_types_allowed=True)\n item: MyType\n\nmy_item = MyType(\"hello\")\nmodel = Model(item=my_item)\n\nprint(\"model_dump():\", model.model_dump())\ntry:\n print(\"model_dump(mode='json'):\", model.model_dump(mode='json'))\nexcept Exception as e:\n print(\"model_dump(mode='json') error:\", e)\nEOF\npython3 /tmp/debug_pydantic.py"
} | {"status": "ok", "stdout": "model_dump(): {'item': MyType(hello)}\nmodel_dump(mode='json') error: Unable to serialize unknown type: <class '__main__.MyType'>\n"full{"status": "ok", "stdout": "model_dump(): {'item': MyType(hello)}\nmodel_dump(mode='json') error: Unable to serialize unknown type: <class '__main__.MyType'>\n", "stderr": "", "exit_code": 0} |
| 25 | run_command | {
"command": "sed -n '170,210p' fastapi/encoders.py"
} | {"status": "ok", "stdout": " \"\"\"\n ),\n ] = False,\n exclude_none: Annotated[\n bool,\n Doc(\n \"\"\"\n Pydantic's `exclude_none` parameter, passed to Pydantfull{"status": "ok", "stdout": " \"\"\"\n ),\n ] = False,\n exclude_none: Annotated[\n bool,\n Doc(\n \"\"\"\n Pydantic's `exclude_none` parameter, passed to Pydantic models to define\n if it should exclude from the output any fields that have a `None` value.\n \"\"\"\n ),\n ] = False,\n custom_encoder: Annotated[\n Optional[Dict[Any, Callable[[Any], Any]]],\n Doc(\n \"\"\"\n Pydantic's `custom_encoder` parameter, passed to Pydantic models to define\n a custom encoder.\n \"\"\"\n ),\n ] = None,\n sqlalchemy_safe: Annotated[\n bool,\n Doc(\n \"\"\"\n Exclude from the output any fields that start with the name `_sa`.\n\n This is mainly a hack for compatibility with SQLAlchemy objects, they\n store internal SQLAlchemy-specific state in attributes named with `_sa`,\n and those objects can't (and shouldn't be) serialized to JSON.\n \"\"\"\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", "stderr": "", "exit_code": 0} |
| 26 | run_command | {
"command": "sed -n '210,240p' fastapi/encoders.py"
} | {"status": "ok", "stdout": " 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 mfull{"status": "ok", "stdout": " 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", "stderr": "", "exit_code": 0} |
| 27 | run_command | {
"command": "sed -n '240,260p' fastapi/encoders.py"
} | {"status": "ok", "stdout": " by_alias=by_alias,\n exclude_unset=exclude_unset,\n exclude_none=exclude_none,\n exclude_defaults=exclude_defaults,\n )\n if \"__rofull{"status": "ok", "stdout": " 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_none,\n exclude_defaults=exclude_defaults,\n # TODO: remove when deprecating Pydantic v1\n custom_encoder=encoders,\n sqlalchemy_safe=sqlalchemy_safe,\n )\n if dataclasses.is_dataclass(obj):\n assert not isinstance(obj, type)\n obj_dict = dataclasses.asdict(obj)\n return jsonable_encoder(\n obj_dict,\n include=include,\n", "stderr": "", "exit_code": 0} |
| 28 | run_command | {
"command": "cat <<EOF > /tmp/repro_fix.py\nfrom pydantic import BaseModel, ConfigDict\nfrom fastapi.encoders import jsonable_encoder\n\nclass MyType:\n def __init__(self, value):\n self.value = value\n def __repr__(self):\n return f\"MyType({self.value})\"\n\nclass Model(BaseModel):\n model_config = ConfigDict(arbitrary_types_allowed=True)\n item: MyType\n\nmy_item = MyType(\"hello\")\nmodel = Model(item=my_item)\n\n# Instead of mode='json', use mode='python' (default)\n# and then let jsonable_encoder handle the recursion.\nencoded = jsonable_encoder(model)\nprint(f\"Encoded: {encoded}\")\nEOF\npython3 /tmp/repro_fix.py"
} | {"status": "error", "error_type": "CommandError", "error_message": "Traceback (most recent call last):\n File \"/tmp/repro_fix.py\", line 19, in <module>\n encofull{"status": "error", "error_type": "CommandError", "error_message": "Traceback (most recent call last):\n File \"/tmp/repro_fix.py\", line 19, in <module>\n encoded = jsonable_encoder(model)\n File \"/workspace/fastapi/encoders.py\", line 235, in jsonable_encoder\n obj_dict = _model_dump(\n obj,\n ...<6 lines>...\n exclude_defaults=exclude_defaults,\n )\n File \"/workspace/fastapi/_compat/main.py\", line 95, in _model_dump\n return v2._model_dump(model, mode=mode, **kwargs)\n ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/fastapi/_compat/v2.py\", line 167, in _model_dump\n return model.model_dump(mode=mode, **kwargs)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^\n File \"/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/main.py\", line 475, in model_dump\n return self.__pydantic_serializer__.to_python(\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^\n self,\n ^^^^^\n ...<13 lines>...\n polymorphic_serialization=polymorphic_serialization,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\npydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class '__main__.MyType'>\n", "details": {"stdout": "", "stderr": "Traceback (most recent call last):\n File \"/tmp/repro_fix.py\", line 19, in <module>\n encoded = jsonable_encoder(model)\n File \"/workspace/fastapi/encoders.py\", line 235, in jsonable_encoder\n obj_dict = _model_dump(\n obj,\n ...<6 lines>...\n exclude_defaults=exclude_defaults,\n )\n File \"/workspace/fastapi/_compat/main.py\", line 95, in _model_dump\n return v2._model_dump(model, mode=mode, **kwargs)\n ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/fastapi/_compat/v2.py\", line 167, in _model_dump\n return model.model_dump(mode=mode, **kwargs)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^\n File \"/kaggle/tmp/envs/fastapi/ |
| 29 | run_command | {
"command": "cat <<EOF > /tmp/repro_v2.py\nfrom pydantic import BaseModel, ConfigDict\nimport json\n\nclass MyType:\n def __init__(self, value):\n self.value = value\n def __repr__(self):\n return f\"MyType({self.value})\"\n\nclass Model(BaseModel):\n model_config = ConfigDict(arbitrary_types_allowed=True)\n item: MyType\n\nmy_item = MyType(\"hello\")\nmodel = Model(item=my_item)\n\nprint(\"model_dump(mode='python'):\", model.model_dump(mode='python'))\nEOF\npython3 /tmp/repro_v2.py"
} | {"status": "ok", "stdout": "model_dump(mode='python'): {'item': MyType(hello)}\n", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "model_dump(mode='python'): {'item': MyType(hello)}\n", "stderr": "", "exit_code": 0} |
| 30 | run_command | {
"command": "sed -n '235,245p' fastapi/encoders.py"
} | {"status": "ok", "stdout": " obj_dict = _model_dump(\n obj,\n mode=\"json\",\n include=include,\n exclude=exclude,\n by_alias=by_alias,\n exclude_unset=exclude_full{"status": "ok", "stdout": " 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", "stderr": "", "exit_code": 0} |
| 31 | run_command | {
"command": "edit_file fastapi/encoders.py \" obj_dict = _model_dump(\n obj,\n mode=\\\"json\\\",\n include=include,\" \" obj_dict = _model_dump(\n obj,\n mode=\\\"python\\\",\n include=include,\""
} | {"status": "error", "error_type": "CommandError", "error_message": "/bin/bash: line 1: edit_file: command not found\n", "details": {"stdout": "", "stderr": "/bifull{"status": "error", "error_type": "CommandError", "error_message": "/bin/bash: line 1: edit_file: command not found\n", "details": {"stdout": "", "stderr": "/bin/bash: line 1: edit_file: command not found\n", "exit_code": 127}} |
| 32 | edit_file | {
"filepath": "fastapi/encoders.py",
"new_string": " obj_dict = _model_dump(\n obj,\n mode=\"python\",\n include=include,",
"old_string": " obj_dict = _model_dump(\n obj,\n mode=\"json\",\n include=include,"
} | {"status": "ok", "filepath": "fastapi/encoders.py", "occurrences": 1, "strategy": "exact", "diff": "--- a/fastapi/encoders.py\n+++ b/fastapi/encoders.py\n@@ -23full{"status": "ok", "filepath": "fastapi/encoders.py", "occurrences": 1, "strategy": "exact", "diff": "--- a/fastapi/encoders.py\n+++ b/fastapi/encoders.py\n@@ -234,7 +234,7 @@\n encoders = {**encoders, **custom_encoder}\n obj_dict = _model_dump(\n obj,\n- mode=\"json\",\n+ mode=\"python\",\n include=include,\n exclude=exclude,\n by_alias=by_alias,\n", "is_truncated": false} |
| 33 | run_command | {
"command": "python3 /tmp/repro_fix.py"
} | {"status": "ok", "stdout": "Encoded: {'item': {'value': 'hello'}}\n", "stderr": "", "exit_code": 0}full{"status": "ok", "stdout": "Encoded: {'item': {'value': 'hello'}}\n", "stderr": "", "exit_code": 0} |
| 34 | run_command | {
"command": "python3 -m pytest tests/test_inherited_custom_class.py"
} | {"status": "ok", "stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.13.14, pytest-9.1.1, plfull{"status": "ok", "stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.13.14, pytest-9.1.1, pluggy-1.6.0\ncodspeed: 5.0.3 (disabled, mode: walltime, callgraph: enabled, timer_resolution: 1.0ns)\nrootdir: /workspace\nconfigfile: pytest.ini (WARNING: ignoring pytest config in pyproject.toml!)\nplugins: anyio-4.15.1, sugar-1.1.1, inline-snapshot-0.35.4, timeout-2.4.0, xdist-3.8.0, codspeed-5.0.3, cov-7.1.0\ncollected 2 items\n\ntests/test_inherited_custom_class.py .s [100%]\n\n=============================== warnings summary ===============================\n../../../../../../kaggle/tmp/envs/overlays/starlette-0.50.0-py3-none-any/starlette/testclient.py:45\n /kaggle/tmp/envs/overlays/starlette-0.50.0-py3-none-any/starlette/testclient.py:45: DeprecationWarning: The anyio.abc.BlockingPortal alias is deprecated, use anyio.from_thread.BlockingPortal instead.\n _PortalFactoryType = Callable[[], AbstractContextManager[anyio.abc.BlockingPortal]]\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=================== 1 passed, 1 skipped, 1 warning in 3.36s ====================\n", "stderr": "", "exit_code": 0} |
| 35 | run_command | {
"command": "python3 -m pytest tests/test_compat.py -k test_propagates_pydantic2_model_config"
} | {"status": "ok", "stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.13.14, pytest-9.1.1, plfull{"status": "ok", "stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.13.14, pytest-9.1.1, pluggy-1.6.0\ncodspeed: 5.0.3 (disabled, mode: walltime, callgraph: enabled, timer_resolution: 1.0ns)\nrootdir: /workspace\nconfigfile: pytest.ini (WARNING: ignoring pytest config in pyproject.toml!)\nplugins: anyio-4.15.1, sugar-1.1.1, inline-snapshot-0.35.4, timeout-2.4.0, xdist-3.8.0, codspeed-5.0.3, cov-7.1.0\ncollected 13 items / 12 deselected / 1 selected\n\ntests/test_compat.py . [100%]\n\n=============================== warnings summary ===============================\n../../../../../../kaggle/tmp/envs/overlays/starlette-0.50.0-py3-none-any/starlette/testclient.py:45\n /kaggle/tmp/envs/overlays/starlette-0.50.0-py3-none-any/starlette/testclient.py:45: DeprecationWarning: The anyio.abc.BlockingPortal alias is deprecated, use anyio.from_thread.BlockingPortal instead.\n _PortalFactoryType = Callable[[], AbstractContextManager[anyio.abc.BlockingPortal]]\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n================= 1 passed, 12 deselected, 1 warning in 0.60s ==================\n", "stderr": "", "exit_code": 0} |
| 36 | run_command | {
"command": "python3 -m pytest tests/test_jsonable_encoder.py -k \"test_encode_model_with_pure_path\""
} | {"status": "ok", "stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.13.14, pytest-9.1.1, plfull{"status": "ok", "stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.13.14, pytest-9.1.1, pluggy-1.6.0\ncodspeed: 5.0.3 (disabled, mode: walltime, callgraph: enabled, timer_resolution: 1.0ns)\nrootdir: /workspace\nconfigfile: pytest.ini (WARNING: ignoring pytest config in pyproject.toml!)\nplugins: anyio-4.15.1, sugar-1.1.1, inline-snapshot-0.35.4, timeout-2.4.0, xdist-3.8.0, codspeed-5.0.3, cov-7.1.0\ncollected 23 items / 22 deselected / 1 selected\n\ntests/test_jsonable_encoder.py . [100%]\n\n======================= 1 passed, 22 deselected in 0.46s =======================\n", "stderr": "", "exit_code": 0} |
| 37 | submit_patch | {} | {"status": "ok", "patch_size": 437, "files_changed": 1}full{"status": "ok", "patch_size": 437, "files_changed": 1} |
diff --git a/fastapi/encoders.py b/fastapi/encoders.py
index 79395108..ec754986 100644
--- a/fastapi/encoders.py
+++ b/fastapi/encoders.py
@@ -234,7 +234,7 @@ def jsonable_encoder(
encoders = {**encoders, **custom_encoder}
obj_dict = _model_dump(
obj,
- mode="json",
+ mode="python",
include=include,
exclude=exclude,
by_alias=by_alias,
)
<string>:6: in __init__
???
fastapi/_compat/v2.py:97: in __post_init__
self._type_adapter: TypeAdapter[Any] = TypeAdapter(
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/type_adapter.py:244: in __init__
self._init_core_attrs(
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/type_adapter.py:306: in _init_core_attrs
core_schema = schema_generator.generate_schema(self._type)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:744: in generate_schema
schema = self._generate_schema_inner(obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1022: in _generate_schema_inner
return self._annotated_schema(obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:2202: in _annotated_schema
schema = self._apply_annotations(source_type, annotations)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:2252: in _apply_annotations
schema = get_inner_schema(source_type)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/_internal/_schema_generation_shared.py:83: in __call__
schema = self._handler(source_type)
^^^^^^^^^^^^^^^^^^^^^^^^^^
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:2425: in new_handler
schema = get_inner_schema(source)
^^^^^^^^^^^^^^^^^^^^^^^^
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/_internal/_schema_generation_shared.py:83: in __call__
schema = self._handler(source_type)
^^^^^^^^^^^^^^^^^^^^^^^^^^
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:2423: in new_handler
schema = annotation_get_schema(source, get_inner_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/functional_serializers.py:64: in __get_pydantic_core_schema__
schema = handler(source_type)
^^^^^^^^^^^^^^^^^^^^
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/_internal/_schema_generation_shared.py:83: in __call__
schema = self._handler(source_type)
^^^^^^^^^^^^^^^^^^^^^^^^^^
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:2425: in new_handler
schema = get_inner_schema(source)
^^^^^^^^^^^^^^^^^^^^^^^^
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/_internal/_schema_generation_shared.py:83: in __call__
schema = self._handler(source_type)
^^^^^^^^^^^^^^^^^^^^^^^^^^
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:2231: in inner_handler
schema = self._generate_schema_inner(obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1043: in _generate_schema_inner
return self.match_type(obj)
^^^^^^^^^^^^^^^^^^^^
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:1165: in match_type
return self._unknown_type_schema(obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <pydantic._internal._generate_schema.GenerateSchema object at 0x7fdabaf8f9c0>
obj = <class 'tests.test_arbitrary_types.get_client.<locals>.FakeNumpyArray'>
def _unknown_type_schema(self, obj: Any) -> CoreSchema:
> raise PydanticSchemaGenerationError(
f'Unable to generate pydantic-core schema for {obj!r}. '
'Set `arbitrary_types_allowed=True` in the model_config to ignore this error'
' or implement `__get_pydantic_core_schema__` on your type to fully support it.'
'\n\nIf you got this error by calling handler(<some type>) within'
' `__get_pydantic_core_schema__` then you likely need to call'
' `handler.generate_schema(<some type>)` since we do not call'
' `__get_pydantic_core_schema__` on `<some type>` otherwise to avoid infinite recursion.'
)
E pydantic.errors.PydanticSchemaGenerationError: Unable to generate pydantic-core schema for <class 'tests.test_arbitrary_types.get_client.<locals>.FakeNumpyArray'>. Set `arbitrary_types_allowed=True` in the model_config to ignore this error or implement `__get_pydantic_core_schema__` on your type to fully support it.
E
E If you got this error by calling handler(<some type>) within `__get_pydantic_core_schema__` then you likely need to call `handler.generate_schema(<some type>)` since we do not call `__get_pydantic_core_schema__` on `<some type>` otherwise to avoid infinite recursion.
E
E For further information visit https://errors.pydantic.dev/2.13/u/schema-for-unknown-type
/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py:674: PydanticSchemaGenerationError
=============================== warnings summary ===============================
../../../../../../kaggle/tmp/envs/overlays/starlette-0.50.0-py3-none-any/starlette/testclient.py:45
/kaggle/tmp/envs/overlays/starlette-0.50.0-py3-none-any/starlette/testclient.py:45: DeprecationWarning: The anyio.abc.BlockingPortal alias is deprecated, use anyio.from_thread.BlockingPortal instead.
_PortalFactoryType = Callable[[], AbstractContextManager[anyio.abc.BlockingPortal]]
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
!!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!!
1 failed, 2 passed, 1 warning in 1.04s