fix: fixes save object after parsing
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@@ -46,9 +46,10 @@ class ObjectTypeParser(GenericTypeParser):
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type_parsing.model_validate(example) for example in example_values
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]
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if name in ref_cache:
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if name in ref_cache and isinstance(ref_cache[name], type):
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warnings.warn(
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f"Type '{name}' is already in the ref_cache and will be overwritten.",
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f"Type '{name}' is already in the ref_cache and will be overwritten."
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" This may indicate a circular reference in the schema or a collision in the schema.",
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UserWarning,
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)
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ref_cache[name] = type_parsing
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@@ -26,14 +26,28 @@ class SchemaConverter:
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self,
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schema: JSONSchema,
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ref_cache: Optional[RefCacheDict] = None,
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without_cache: bool = False,
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) -> type[BaseModel]:
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"""
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Converts a JSON Schema to a Pydantic model.
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This is the instance method version of `build` and uses the instance's reference cache if none is provided.
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Use this method if you want to utilize the instance's reference cache.
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:param schema: The JSON Schema to convert.
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:param ref_cache: An optional reference cache to use during conversion.
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:param without_cache: Whether to use a clean reference cache for this conversion.
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:return: The generated Pydantic model.
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"""
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return self.build(schema, ref_cache or self._ref_cache)
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local_ref_cache: RefCacheDict
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if without_cache:
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local_ref_cache = dict()
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elif ref_cache is None:
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local_ref_cache = self._ref_cache
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else:
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local_ref_cache = ref_cache
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return self.build(schema, local_ref_cache)
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@staticmethod
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def build(
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@@ -43,7 +57,6 @@ class SchemaConverter:
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Converts a JSON Schema to a Pydantic model.
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:param schema: The JSON Schema to convert.
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:param ref_cache: An optional reference cache to use during conversion, if provided `with_clean_cache` will be ignored.
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:param with_clean_cache: Whether to use a clean reference cache for this conversion. Set to rue due to API compatibility. Will be set to False in future versions.
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:return: The generated Pydantic model.
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"""
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if ref_cache is None:
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