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30 lines
866 B
Python
30 lines
866 B
Python
from typing import List
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from langchain.schema import Document
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from pilot import SourceEmbedding, register
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class StringEmbedding(SourceEmbedding):
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"""string embedding for read string document."""
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def __init__(self, file_path, vector_store_config):
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"""Initialize with pdf path."""
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super().__init__(file_path, vector_store_config)
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self.file_path = file_path
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self.vector_store_config = vector_store_config
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@register
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def read(self):
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"""Load from String path."""
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metadata = {"source": "db_summary"}
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return [Document(page_content=self.file_path, metadata=metadata)]
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@register
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def data_process(self, documents: List[Document]):
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i = 0
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for d in documents:
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documents[i].page_content = d.page_content.replace("\n", "")
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i += 1
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return documents
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