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feature: add instance level ref cache #63

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HideyoshiNakazone merged 12 commits from feature/add-instance-level-ref-cache into main 2025-11-25 00:07:55 +00:00
Conversation 1 Commits 12 Files Changed 9 +4 -11
1 changed files with 4 additions and 11 deletions
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15
jambo/schema_converter.py
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@@ -26,25 +26,18 @@ class SchemaConverter:
self,
schema: JSONSchema,
ref_cache: Optional[RefCacheDict] = None,
with_clean_cache: bool = True,
) -> type[BaseModel]:
"""
Converts a JSON Schema to a Pydantic model.
:param schema: The JSON Schema to convert.
:param ref_cache: An optional reference cache to use during conversion, if provided `with_clean_cache` will be ignored.
:param with_clean_cache: Whether to use a clean reference cache for this conversion. Set to True due to API compatibility. Will be set to False in future versions.
:param ref_cache: An optional reference cache to use during conversion.
:return: The generated Pydantic model.
"""
if ref_cache is None:
ref_cache = self._ref_cache
return self.build(schema, ref_cache, with_clean_cache)
return self.build(schema, ref_cache or self._ref_cache)
@staticmethod
def build(
schema: JSONSchema,
ref_cache: Optional[RefCacheDict] = None,
with_clean_cache: bool = True,
schema: JSONSchema, ref_cache: Optional[RefCacheDict] = None
) -> type[BaseModel]:
"""
Converts a JSON Schema to a Pydantic model.
@@ -53,7 +46,7 @@ class SchemaConverter:
: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.
:return: The generated Pydantic model.
"""
if ref_cache is None or with_clean_cache:
if ref_cache is None:
ref_cache = dict()
try: