fastapi_14430

{
 "command": "grep -rn \"Union\" fastapi/fastapi | grep \"Python 3.10\" | head -20"
}

{
 "command": "grep -rn \"Union\" . --include=*.py | grep \"3.10\" | head -20"
}

{
 "command": "sed -n '830,860p' fastapi/dependencies/utils.py"
}

{
 "command": "grep -rn \"UnionType\" fastapi/ | head -20"
}

{
 "command": "sed -n '1,200p' fastapi/_compat/shared.py"
}

{
 "command": "python3 - <<'PY'\nimport typing\nimport types\nfrom typing import Union, List, get_origin, get_args\nfrom fastapi._compat.shared import field_annotation_is_sequence\n\n# Python 3.10+ union syntax: int | list[int]\n# We need to simulate this for the test.\ntry:\n    UnionType = types.UnionType\n    test_type = int | List[int]\nexcept AttributeError:\n    # Fallback for < 3.10\n    UnionType = Union\n    test_type = Union[int, List[int]]\n\nprint(f\"Testing type: {test_type}\")\nprint(f\"Is sequence: {field_annotation_is_sequence(test_type)}\")\n\n# Test with Optional[List[int]] which is Union[List[int], None]\ntest_type_optional = Union[List[int], None]\nprint(f\"Testing type: {test_type_optional}\")\nprint(f\"Is sequence: {field_annotation_is_sequence(test_type_optional)}\")\n\n# Test with Union[int, str]\ntest_type_scalar_union = Union[int, str]\nprint(f\"Testing type: {test_type_scalar_union}\")\nprint(f\"Is sequence: {field_annotation_is_sequence(test_type_scalar_union)}\")\nPY\n"
}

{
 "command": "python3 - <<'PY'\nimport typing\nimport types\nfrom typing import Union, List, get_origin, get_args\nfrom fastapi._compat.shared import field_annotation_is_scalar_sequence\n\n# Test field_annotation_is_scalar_sequence\n# Case 1: Union[int, List[int]] -> should be True (at least one scalar sequence, and others are scalar)\ntry:\n    test_type1 = int | List[int]\nexcept AttributeError:\n    test_type1 = Union[int, List[int]]\nprint(f\"Type 1: {test_type1}, Is scalar sequence: {field_annotation_is_scalar_sequence(test_type1)}\")\n\n# Case 2: Union[List[int], List[str]] -> should be True\ntry:\n    test_type2 = List[int] | List[str]\nexcept AttributeError:\n    test_type2 = Union[List[int], List[str]]\nprint(f\"Type 2: {test_type2}, Is scalar sequence: {field_annotation_is_scalar_sequence(test_type2)}\")\n\n# Case 3: Union[List[int], List[List[int]]] -> should be False (List[List[int]] is not scalar)\ntry:\n    test_type3 = List[int] | List[List[int]]\nexcept AttributeError:\n    test_type3 = Union[List[int], List[List[int]]]\nprint(f\"Type 3: {test_type3}, Is scalar sequence: {field_annotation_is_scalar_sequence(test_type3)}\")\n\n# Case 4: Union[int, str] -> should be False (no scalar sequence)\ntry:\n    test_type4 = int | str\nexcept AttributeError:\n    test_type4 = Union[int, str]\nprint(f\"Type 4: {test_type4}, Is scalar sequence: {field_annotation_is_scalar_sequence(test_type4)}\")\nPY\n"
}

{
 "command": "python3 - <<'PY'\nimport typing\nimport types\nfrom typing import Union, List, get_origin, get_args\nfrom fastapi._compat.shared import field_annotation_is_scalar_sequence, field_annotation_is_scalar\n\n# Case 5: Union[List[int], None] (Optional[List[int]])\ntry:\n    test_type5 = List[int] | None\nexcept AttributeError:\n    test_type5 = Union[List[int], None]\nprint(f\"Type 5: {test_type5}, Is scalar sequence: {field_annotation_is_scalar_sequence(test_type5)}\")\nprint(f\"None is scalar: {field_annotation_is_scalar(None)}\")\nPY\n"
}

{
 "command": "python3 - <<'PY'\nimport typing\nimport types\nfrom typing import Union, List, get_origin, get_args\nfrom fastapi._compat.shared import field_annotation_is_scalar_sequence, field_annotation_is_scalar\n\n# The issue says \"optional sequence handling with new union syntax from Python 3.10\"\n# and \"is only taking one union type into account\".\n\n# Let's test a Union with multiple types including a sequence and None.\n# Optional[List[int]] is Union[List[int], None].\n# What if we have Union[List[int], str, None]?\n\ntry:\n    test_type = List[int] | str | None\nexcept AttributeError:\n    test_type = Union[List[int], str, None]\n\nprint(f\"Type: {test_type}\")\nprint(f\"Is scalar sequence: {field_annotation_is_scalar_sequence(test_type)}\")\nPY\n"
}

{
 "command": "python3 - <<'PY'\nimport typing\nimport types\nfrom typing import Union, List, get_origin, get_args\nfrom fastapi._compat.shared import field_annotation_is_scalar_sequence, field_annotation_is_scalar\n\n# Let's try to find a case where it fails.\n# The issue says \"is only taking one union type into account\".\n# Maybe it's about nested Unions?\n\n# Union[Union[List[int], None], str]\ntry:\n    test_type = (List[int] | None) | str\nexcept AttributeError:\n    test_type = Union[Union[List[int], None], str]\n\nprint(f\"Type: {test_type}\")\nprint(f\"Is scalar sequence: {field_annotation_is_scalar_sequence(test_type)}\")\nPY\n"
}

{
 "command": "grep -rn \"UnionType\" fastapi/ | grep \"is_union\" | head -20"
}

{
 "command": "grep -rn \"UnionType\" fastapi/ | grep \"is_sequence\" | head -20"
}

{
 "command": "grep -rn \"UnionType\" fastapi/ | grep \"is_complex\" | head -20"
}

{
 "command": "grep -rn \"UnionType\" fastapi/ | grep \"scalar\" | head -20"
}

{
 "command": "grep -rn \"UnionType\" fastapi/ | grep \"field_annotation\" | head -20"
}

{
 "command": "grep -rn \"UnionType\" fastapi/ | grep \"annotation\" | head -20"
}

{
 "command": "grep -rn \"UnionType\" fastapi/ | grep \"get_args\" | head -20"
}

{
 "command": "grep -rn \"UnionType\" fastapi/ | grep \"get_origin\" | head -20"
}

{
 "command": "grep -rn \"UnionType\" fastapi/ | grep \"origin\" | head -20"
}

{
 "command": "python3 - <<'PY'\nimport typing\nimport types\nfrom typing import Union, List, get_origin, get_args\nfrom fastapi._compat.shared import field_annotation_is_sequence, field_annotation_is_scalar_sequence\n\n# The issue mentions \"optional sequence handling with new union syntax from Python 3.10\"\n# and \"is only taking one union type into account\".\n\n# Let's try to find a case where it fails.\n# Maybe it's about how UnionType is handled compared to Union.\n\n# In Python 3.10+, `int | str` is a `types.UnionType`.\n# `Union[int, str]` is a `typing._UnionGenericAlias`.\n\n# Let's check if there's any difference in how they are handled.\n\ndef check_type(t):\n    print(f\"Type: {t}, Origin: {get_origin(t)}, Args: {get_args(t)}\")\n    print(f\"Is sequence: {field_annotation_is_sequence(t)}\")\n    print(f\"Is scalar sequence: {field_annotation_is_scalar_sequence(t)}\")\n    print(\"-\" * 20)\n\ntry:\n    t1 = list[int] | None\n    t2 = Union[List[int], None]\nexcept AttributeError:\n    t1 = Union[List[int], None]\n    t2 = Union[List[int], None]\n\ncheck_type(t1)\ncheck_type(t2)\n\ntry:\n    t3 = list[int] | str\n    t4 = Union[List[int], str]\nexcept AttributeError:\n    t3 = Union[List[int], str]\n    t4 = Union[List[int], str]\n\ncheck_type(t3)\ncheck_type(t4)\nPY\n"
}

{
 "command": "grep -rn \"typing-inspection\" ."
}

{
 "command": "python3 - <<'PY'\nimport typing\nimport types\nfrom typing import Union, List, get_origin, get_args\nfrom fastapi._compat.shared import field_annotation_is_sequence, field_annotation_is_scalar_sequence\n\n# The issue says \"is only taking one union type into account\".\n# This might mean it's not handling both `typing.Union` and `types.UnionType` correctly in some cases.\n# But in the tests I ran, it seemed to handle both.\n\n# Let's look at the code again.\n# fastapi/_compat/shared.py:\n# def field_annotation_is_sequence(annotation: Union[Type[Any], None]) -> bool:\n#     origin = get_origin(annotation)\n#     if origin is Union or origin is UnionType:\n#         for arg in get_args(annotation):\n#             if field_annotation_is_sequence(arg):\n#                 return True\n#         return False\n#     return _annotation_is_sequence(annotation) or _annotation_is_sequence(\n#         get_origin(annotation)\n#     )\n\n# Wait, if it's a Union, it returns True if ANY of the args is a sequence.\n# Is this correct for \"is_sequence\"?\n# If I have Union[int, List[int]], is it a sequence?\n# Pydantic would say it's a Union, and one of its members is a sequence.\n\n# Let's check field_annotation_is_scalar_sequence:\n# def field_annotation_is_scalar_sequence(annotation: Union[Type[Any], None]) -> bool:\n#     origin = get_origin(annotation)\n#     if origin is Union or origin is UnionType:\n#     ...\n#     return field_annotation_is_sequence(annotation) and all(\n#         field_annotation_is_scalar(sub_annotation)\n#         for sub_annotation in get_args(annotation)\n#     )\n\n# If annotation is List[int], origin is list.\n# field_annotation_is_sequence(List[int]) -> True\n# get_args(List[int]) -> (int,)\n# field_annotation_is_scalar(int) -> True\n# So field_annotation_is_scalar_sequence(List[int]) -> True.\n\n# If annotation is Union[List[int], None]:\n# origin is Union.\n# at_least_one_scalar_sequence = False\n# arg = List[int]: field_annotation_is_scalar_sequence(List[int]) -> True. at_least_one_scalar_sequence = True.\n# arg = None: field_annotation_is_scalar(None) -> True.\n# returns True.\n\n# If annotation is Union[List[int], List[str]]:\n# arg = List[int]: field_annotation_is_scalar_sequence(List[int]) -> True. at_least_one_scalar_sequence = True.\n# arg = List[str]: field_annotation_is_scalar_sequence(List[str]) -> True. at_least_one_scalar_sequence = True.\n# returns True.\n\n# If annotation is Union[List[int], List[List[int]]]:\n# arg = List[int]: field_annotation_is_scalar_sequence(List[int]) -> True. at_least_one_scalar_sequence = True.\n# arg = List[List[int]]: field_annotation_is_scalar_sequence(List[List[int]]) -> False.\n# returns False.\n\n# This all seems correct. Where could it be \"only taking one union type into account\"?\n\n# Maybe it's about the `UnionType` definition in `fastapi/types.py`?\n# UnionType = getattr(types, \"UnionType\", Union)\n# If we are on Python < 3.10, UnionType is Union.\n# If we are on Python >= 3.10, UnionType is types.UnionType.\n\n# So `origin is Union or origin is UnionType` is:\n# Python < 3.10: `origin is Union or origin is Union`\n# Python >= 3.10: `origin is Union or origin is types.UnionType`\n\n# This also seems correct.\n\n# Let's re-read the issue: \"Fix optional sequence handling with new union syntax from Python 3.10\"\n# \"is only taking one union type into account.\"\n\n# Maybe it's in another file?\n# I searched for \"UnionType\" and found it in fastapi/dependencies/utils.py and fastapi/_compat/shared.py.\n\n# Let's check fastapi/dependencies/utils.py again.\n# def is_union_of_base_models(field_type: Any) -> bool:\n#     from fastapi.types import UnionType\n#     origin = get_origin(field_type)\n#     if origin is not Union and origin is not UnionType:\n#         return False\n#     union_args = get_args(field_type)\n#     for arg in union_args:\n#         if not _is_model_class(arg):\n#             return False\n#     return True\n\n# This also 

{
 "command": "python3 - <<'PY'\nimport typing\nimport types\nfrom typing import Union, List, Annotated, get_origin, get_args\nfrom fastapi._compat.shared import field_annotation_is_sequence, field_annotation_is_scalar_sequence\n\ndef check_type(t):\n    print(f\"Type: {t}, Origin: {get_origin(t)}, Args: {get_args(t)}\")\n    print(f\"Is sequence: {field_annotation_is_sequence(t)}\")\n    print(f\"Is scalar sequence: {field_annotation_is_scalar_sequence(t)}\")\n    print(\"-\" * 20)\n\ntry:\n    t1 = Annotated[list[int] | None, \"metadata\"]\n    t2 = Annotated[Union[List[int], None], \"metadata\"]\nexcept AttributeError:\n    t1 = Annotated[Union[List[int], None], \"metadata\"]\n    t2 = Annotated[Union[List[int], None], \"metadata\"]\n\ncheck_type(t1)\ncheck_type(t2)\nPY\n"
}

{
 "command": "python3 - <<'PY'\nimport typing\nimport types\nfrom typing import Union, List, Annotated, get_origin, get_args\nfrom fastapi._compat.shared import field_annotation_is_sequence, field_annotation_is_scalar_sequence\n\n# Let's see how field_annotation_is_sequence handles Annotated.\n# def field_annotation_is_sequence(annotation: Union[Type[Any], None]) -> bool:\n#     origin = get_origin(annotation)\n#     if origin is Union or origin is UnionType:\n#         ...\n#     return _annotation_is_sequence(annotation) or _annotation_is_sequence(\n#         get_origin(annotation)\n#     )\n\n# If annotation is Annotated[List[int], \"metadata\"]:\n# origin is Annotated.\n# _annotation_is_sequence(Annotated[List[int], \"metadata\"]) -> lenient_issubclass(Annotated[...], sequence_types) -> False\n# _annotation_is_sequence(Annotated) -> lenient_issubclass(Annotated, sequence_types) -> False\n# So it returns False.\n\n# But field_annotation_is_complex handles Annotated:\n# def field_annotation_is_complex(annotation: Union[Type[Any], None]) -> bool:\n#     origin = get_origin(annotation)\n#     if origin is Union or origin is UnionType:\n#         return any(field_annotation_is_complex(arg) for arg in get_args(annotation))\n#     if origin is Annotated:\n#         return field_annotation_is_complex(get_args(annotation)[0])\n#     ...\n\n# So field_annotation_is_sequence should probably also handle Annotated.\n# But the issue is about \"optional sequence handling with new union syntax\".\n\n# Let's check if there's any other place where UnionType is used.\nPY\n"
}

{
 "command": "grep -rn \"UnionType\" fastapi/ | head -20"
}

{
 "command": "python3 - <<'PY'\nimport typing\nimport types\nfrom typing import Union, List, get_origin, get_args\nfrom fastapi._compat.shared import field_annotation_is_sequence, field_annotation_is_scalar_sequence\n\n# Let's try to find a case where it fails.\n# \"is only taking one union type into account\"\n\n# Maybe it's about how `get_origin` works for `types.UnionType`?\n# In Python 3.10:\n# get_origin(int | str) is types.UnionType\n# get_origin(Union[int, str]) is typing.Union\n\n# Let's check if there's any other way to check for Union.\n# Pydantic's typing-inspection might be better.\n\n# Let's try to see if there's any other place where we check for Union.\nPY\n"
}

{
 "command": "grep -rn \"Union\" fastapi/ | grep \"origin\" | head -20"
}

{
 "command": "sed -n '380,390p' fastapi/_compat/v2.py"
}

{
 "command": "python3 - <<'PY'\nimport typing\nimport types\nfrom typing import Union, List, get_origin, get_args\n\n# Simulate the logic in fastapi/_compat/v2.py\ndef simulate_serialize_sequence_value(annotation):\n    origin_type = get_origin(annotation) or annotation\n    print(f\"Annotation: {annotation}, Origin: {origin_type}\")\n    if origin_type is Union:  # Handle optional sequences\n        print(\"It is a Union\")\n        union_args = get_args(annotation)\n        for union_arg in union_args:\n            if union_arg is type(None):\n                continue\n            origin_type = get_origin(union_arg) or union_arg\n            print(f\"Found non-None arg: {union_arg}, New Origin: {origin_type}\")\n            break\n    else:\n        print(\"It is NOT a Union\")\n    print(f\"Final Origin: {origin_type}\")\n    print(\"-\" * 20)\n\ntry:\n    t1 = List[int] | None\n    t2 = Union[List[int], None]\nexcept AttributeError:\n    t1 = Union[List[int], None]\n    t2 = Union[List[int], None]\n\nsimulate_serialize_sequence_value(t1)\nsimulate_serialize_sequence_value(t2)\nPY\n"
}

{
 "command": "python3 - <<'PY'\nimport typing\nimport types\nfrom typing import Union, List, get_origin, get_args\n\n# Let's test with Python 3.10 union syntax specifically.\n# If we are on Python 3.10, `list[int] | None` has origin `types.UnionType`.\n\ndef simulate_serialize_sequence_value(annotation):\n    origin_type = get_origin(annotation) or annotation\n    print(f\"Annotation: {annotation}, Origin: {origin_type}\")\n    if origin_type is Union:  # Handle optional sequences\n        print(\"It is a Union\")\n        union_args = get_args(annotation)\n        for union_arg in union_args:\n            if union_arg is type(None):\n                continue\n            origin_type = get_origin(union_arg) or union_arg\n            print(f\"Found non-None arg: {union_arg}, New Origin: {origin_type}\")\n            break\n    else:\n        print(\"It is NOT a Union\")\n    print(f\"Final Origin: {origin_type}\")\n    print(\"-\" * 20)\n\ntry:\n    # Use the | operator for Python 3.10+\n    t1 = list[int] | None\n    print(\"Testing with | operator\")\n    simulate_serialize_sequence_value(t1)\nexcept AttributeError:\n    print(\" | operator not supported\")\n\n# Also test with Union\nt2 = Union[List[int], None]\nprint(\"Testing with Union\")\nsimulate_serialize_sequence_value(t2)\nPY\n"
}

{
 "command": "sed -n '380,390p' fastapi/_compat/v2.py"
}

{
 "command": "python3 - <<'PY'\nfrom pathlib import Path\np = Path(\"fastapi/_compat/v2.py\")\ns = p.read_text()\nold = \"\"\"    if origin_type is Union:  # Handle optional sequences\"\"\"\nnew = \"\"\"    from fastapi.types import UnionType\n    if origin_type is Union or origin_type is UnionType:  # Handle optional sequences\"\"\"\n# We need to make sure Union is imported in v2.py\n# Let's check imports in v2.py\nPY\n"
}

{
 "command": "sed -n '1,50p' fastapi/_compat/v2.py"
}

{
 "command": "python3 - <<'PY'\nfrom pathlib import Path\np = Path(\"fastapi/_compat/v2.py\")\ns = p.read_text()\nold = \"\"\"from fastapi.types import IncEx, ModelNameMap\"\"\"\nnew = \"\"\"from fastapi.types import IncEx, ModelNameMap, UnionType\"\"\"\nassert s.count(old) == 1\nt = s.replace(old, new)\np.write_text(t)\nPY\n"
}

{
 "command": "python3 - <<'PY'\nfrom pathlib import Path\np = Path(\"fastapi/_compat/v2.py\")\ns = p.read_text()\nold = \"\"\"    if origin_type is Union:  # Handle optional sequences\"\"\"\nnew = \"\"\"    if origin_type is Union or origin_type is UnionType:  # Handle optional sequences\"\"\"\nassert s.count(old) == 1\nt = s.replace(old, new)\np.write_text(t)\nPY\n"
}

{
 "command": "python3 - <<'PY'\nimport typing\nimport types\nfrom typing import Union, List, get_origin, get_args\nfrom fastapi._compat.v2 import serialize_sequence_value\n\n# We need a mock ModelField and field_info for this to work\nclass MockFieldInfo:\n    def __init__(self, annotation):\n        self.annotation = annotation\n\nclass MockModelField:\n    def __init__(self, annotation):\n        self.field_info = MockFieldInfo(annotation)\n\ndef test_serialize_sequence_value(annotation):\n    field = MockModelField(annotation)\n    # We only care about the origin_type logic at the beginning of the function\n    # The function actually returns a sequence, but we want to see if it handles the Union correctly.\n    # Since we don't have the full implementation of serialize_sequence_value, \n    # we can't run it fully, but we can check if it crashes or if we can mock the rest.\n    \n    # Let's just check the logic by overriding the rest of the function.\n    pass\n\n# Instead of running the function, let's just verify the logic with a small script.\ndef simulate_serialize_sequence_value(annotation):\n    origin_type = get_origin(annotation) or annotation\n    if origin_type is Union or origin_type is types.UnionType:  # This is what we changed\n        union_args = get_args(annotation)\n        for union_arg in union_args:\n            if union_arg is type(None):\n                continue\n            origin_type = get_origin(union_arg) or union_arg\n            break\n    return origin_type\n\ntry:\n    t1 = list[int] | None\n    print(f\"Type 1: {t1}, Final Origin: {simulate_serialize_sequence_value(t1)}\")\nexcept AttributeError:\n    print(\" | operator not supported\")\n\nt2 = Union[List[int], None]\nprint(f\"Type 2: {t2}, Final Origin: {simulate_serialize_sequence_value(t2)}\")\nPY\n"
}

{
 "command": "git diff"
}

{
 "command": "submit_patch"
}

{}