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remove unused pydantic openapi function
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aws_lambda_powertools/event_handler/openapi/dependant.py

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@@ -306,64 +306,6 @@ def get_flat_params(dependant: Dependant) -> list[ModelField]:
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)
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def expand_pydantic_model_for_openapi(param_field: ModelField) -> list[ModelField]:
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"""
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Expands a Pydantic model parameter into individual fields for OpenAPI schema generation.
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Parameters
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----------
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param_field: ModelField
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The field containing a Pydantic model
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Returns
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-------
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list[ModelField]
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List of individual ModelField objects for each field in the Pydantic model
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"""
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from pydantic import BaseModel
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from aws_lambda_powertools.event_handler.openapi.compat import lenient_issubclass
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# Check if this is a Pydantic model in Query, Header, or Form
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if not (
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isinstance(param_field.field_info, (Query, Header, Form))
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and lenient_issubclass(param_field.field_info.annotation, BaseModel)
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):
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return [param_field]
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# Get the Pydantic model class
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model_class = param_field.field_info.annotation
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field_info_template = param_field.field_info
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expanded_fields = []
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# Create individual fields for each field in the Pydantic model
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for field_name, field_def in model_class.model_fields.items():
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# Create a new field_info for each model field
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individual_field_info = type(field_info_template)(
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default=field_def.default if field_def.default is not ... else None,
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annotation=field_def.annotation,
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alias=field_def.alias or field_name,
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title=field_def.title,
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description=field_def.description,
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)
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# Create the ModelField using the internal function
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from aws_lambda_powertools.event_handler.openapi.params import _create_model_field
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individual_field = _create_model_field(
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field_info=individual_field_info,
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type_annotation=field_def.annotation,
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param_name=field_name,
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is_path_param=False,
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)
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if individual_field:
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expanded_fields.append(individual_field)
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return expanded_fields
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def get_body_field(*, dependant: Dependant, name: str) -> ModelField | None:
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"""
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Get the Body field for a given Dependant object.

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