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fix overlap and splitter optimization (#2742)
Co-authored-by: jyong <jyong@dify.ai>
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@ -52,7 +52,7 @@ class BaseIndexProcessor(ABC):
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character_splitter = FixedRecursiveCharacterTextSplitter.from_encoder(
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chunk_size=segmentation["max_tokens"],
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chunk_overlap=0,
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chunk_overlap=segmentation.get('chunk_overlap', 0),
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fixed_separator=separator,
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separators=["\n\n", "。", ".", " ", ""],
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embedding_model_instance=embedding_model_instance
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@ -61,7 +61,7 @@ class BaseIndexProcessor(ABC):
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# Automatic segmentation
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character_splitter = EnhanceRecursiveCharacterTextSplitter.from_encoder(
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chunk_size=DatasetProcessRule.AUTOMATIC_RULES['segmentation']['max_tokens'],
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chunk_overlap=0,
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chunk_overlap=DatasetProcessRule.AUTOMATIC_RULES['segmentation']['chunk_overlap'],
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separators=["\n\n", "。", ".", " ", ""],
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embedding_model_instance=embedding_model_instance
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)
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@ -30,7 +30,7 @@ def _split_text_with_regex(
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if separator:
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if keep_separator:
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# The parentheses in the pattern keep the delimiters in the result.
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_splits = re.split(f"({separator})", text)
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_splits = re.split(f"({re.escape(separator)})", text)
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splits = [_splits[i] + _splits[i + 1] for i in range(1, len(_splits), 2)]
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if len(_splits) % 2 == 0:
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splits += _splits[-1:]
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@ -94,7 +94,7 @@ class TextSplitter(BaseDocumentTransformer, ABC):
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documents.append(new_doc)
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return documents
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def split_documents(self, documents: Iterable[Document]) -> list[Document]:
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def split_documents(self, documents: Iterable[Document] ) -> list[Document]:
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"""Split documents."""
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texts, metadatas = [], []
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for doc in documents:
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