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Fix nested pydantic model issue (#1905)
* Fix nested pydantic model issue * fix failing tests * add in vcr * cleanup * drop prints * Fix vcr issues * added new recordings * trying to fix vcr * add in fix from lorenze.
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@@ -1,4 +1,4 @@
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from typing import Type, Union, get_args, get_origin
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from typing import Dict, List, Type, Union, get_args, get_origin
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from pydantic import BaseModel
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@@ -10,40 +10,83 @@ class PydanticSchemaParser(BaseModel):
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"""
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Public method to get the schema of a Pydantic model.
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:param model: The Pydantic model class to generate schema for.
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:return: String representation of the model schema.
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"""
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return self._get_model_schema(self.model)
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return "{\n" + self._get_model_schema(self.model) + "\n}"
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def _get_model_schema(self, model, depth=0) -> str:
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indent = " " * depth
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lines = [f"{indent}{{"]
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for field_name, field in model.model_fields.items():
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field_type_str = self._get_field_type(field, depth + 1)
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lines.append(f"{indent} {field_name}: {field_type_str},")
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lines[-1] = lines[-1].rstrip(",") # Remove trailing comma from last item
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lines.append(f"{indent}}}")
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return "\n".join(lines)
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def _get_model_schema(self, model: Type[BaseModel], depth: int = 0) -> str:
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indent = " " * 4 * depth
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lines = [
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f"{indent} {field_name}: {self._get_field_type(field, depth + 1)}"
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for field_name, field in model.model_fields.items()
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]
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return ",\n".join(lines)
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def _get_field_type(self, field, depth) -> str:
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def _get_field_type(self, field, depth: int) -> str:
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field_type = field.annotation
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if get_origin(field_type) is list:
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origin = get_origin(field_type)
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if origin in {list, List}:
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list_item_type = get_args(field_type)[0]
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if isinstance(list_item_type, type) and issubclass(
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list_item_type, BaseModel
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):
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nested_schema = self._get_model_schema(list_item_type, depth + 1)
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return f"List[\n{nested_schema}\n{' ' * 4 * depth}]"
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return self._format_list_type(list_item_type, depth)
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if origin in {dict, Dict}:
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key_type, value_type = get_args(field_type)
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return f"Dict[{key_type.__name__}, {value_type.__name__}]"
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if origin is Union:
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return self._format_union_type(field_type, depth)
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if isinstance(field_type, type) and issubclass(field_type, BaseModel):
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nested_schema = self._get_model_schema(field_type, depth)
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nested_indent = " " * 4 * depth
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return f"{field_type.__name__}\n{nested_indent}{{\n{nested_schema}\n{nested_indent}}}"
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return field_type.__name__
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def _format_list_type(self, list_item_type, depth: int) -> str:
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if isinstance(list_item_type, type) and issubclass(list_item_type, BaseModel):
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nested_schema = self._get_model_schema(list_item_type, depth + 1)
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nested_indent = " " * 4 * (depth)
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return f"List[\n{nested_indent}{{\n{nested_schema}\n{nested_indent}}}\n{nested_indent}]"
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return f"List[{list_item_type.__name__}]"
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def _format_union_type(self, field_type, depth: int) -> str:
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args = get_args(field_type)
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if type(None) in args:
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# It's an Optional type
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non_none_args = [arg for arg in args if arg is not type(None)]
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if len(non_none_args) == 1:
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inner_type = self._get_field_type_for_annotation(
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non_none_args[0], depth
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)
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return f"Optional[{inner_type}]"
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else:
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return f"List[{list_item_type.__name__}]"
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elif get_origin(field_type) is Union:
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union_args = get_args(field_type)
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if type(None) in union_args:
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non_none_type = next(arg for arg in union_args if arg is not type(None))
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return f"Optional[{self._get_field_type(field.__class__(annotation=non_none_type), depth)}]"
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else:
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return f"Union[{', '.join(arg.__name__ for arg in union_args)}]"
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elif isinstance(field_type, type) and issubclass(field_type, BaseModel):
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return self._get_model_schema(field_type, depth)
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# Union with None and multiple other types
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inner_types = ", ".join(
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self._get_field_type_for_annotation(arg, depth)
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for arg in non_none_args
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)
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return f"Optional[Union[{inner_types}]]"
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else:
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return getattr(field_type, "__name__", str(field_type))
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# General Union type
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inner_types = ", ".join(
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self._get_field_type_for_annotation(arg, depth) for arg in args
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)
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return f"Union[{inner_types}]"
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def _get_field_type_for_annotation(self, annotation, depth: int) -> str:
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origin = get_origin(annotation)
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if origin in {list, List}:
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list_item_type = get_args(annotation)[0]
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return self._format_list_type(list_item_type, depth)
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if origin in {dict, Dict}:
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key_type, value_type = get_args(annotation)
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return f"Dict[{key_type.__name__}, {value_type.__name__}]"
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if origin is Union:
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return self._format_union_type(annotation, depth)
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if isinstance(annotation, type) and issubclass(annotation, BaseModel):
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nested_schema = self._get_model_schema(annotation, depth)
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nested_indent = " " * 4 * depth
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return f"{annotation.__name__}\n{nested_indent}{{\n{nested_schema}\n{nested_indent}}}"
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return annotation.__name__
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