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* Delete NoopTextSplitter * Delete unused check_token_limit * Add base chunking factory and migrate workflow to use it * Split apart chunker module * Co-locate chunking/splitting * Collapse token splitting functionality into one class/function * Restore create_base_text_units parameterization * Move Tokenizer base class to common package * Move pre-pending into chunkers * Streamline config * Fix defaults construction * Add prepending tests * Remove chunk_size_includes_metadata config * Revert ChunkingDocument interface * Move metadata prepending to a util * Move Tokenizer back to GR core * Fix tokenizer removal from chunker * Set defaults for chunking config * Move chunking to monorepo package * Format * Typo * Add ChunkResult model * Streamline chunking config * Add missing version updates for graphrag_chunking
31 lines
973 B
Python
31 lines
973 B
Python
# Copyright (c) 2024 Microsoft Corporation.
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# Licensed under the MIT License
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"""A module containing 'create_chunk_results' function."""
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from collections.abc import Callable
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from graphrag_chunking.chunk_result import ChunkResult
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def create_chunk_results(
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chunks: list[str],
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encode: Callable[[str], list[int]] | None = None,
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) -> list[ChunkResult]:
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"""Create chunk results from a list of text chunks. The index assignments are 0-based and assume chunks we not stripped relative to the source text."""
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results = []
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start_char = 0
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for index, chunk in enumerate(chunks):
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end_char = start_char + len(chunk) - 1 # 0-based indices
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chunk = ChunkResult(
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text=chunk,
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index=index,
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start_char=start_char,
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end_char=end_char,
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)
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if encode:
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chunk.token_count = len(encode(chunk.text))
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results.append(chunk)
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start_char = end_char + 1
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return results
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