Make save_data_item_with_metadata_to_storage async
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1 changed files with 2 additions and 2 deletions
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@ -4,12 +4,12 @@ from cognee.modules.ingestion import save_data_to_file
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from cognee.modules.ingestion.operations.write_metadata import write_metadata
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def save_data_item_with_metadata_to_storage(
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async def save_data_item_with_metadata_to_storage(
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data_item: Union[BinaryIO, str, Any], dataset_name: str
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) -> str:
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# Dynamic import is used because the llama_index module is optional.
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# For the same reason Any is accepted as a data item
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metadata_id = write_metadata(data_item)
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metadata_id = await write_metadata(data_item)
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# Check if data is of type Document or any of it's subclasses
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if str(type(data_item)).startswith("llama_index"):
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