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60 lines
2.4 KiB
Python
60 lines
2.4 KiB
Python
"""TextCrusher — fast deterministic extractive prose compressor (Phase 2, #1171).
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Thin Python wrapper over the native ``headroom._core.TextCrusher``. The
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algorithm (sentence scoring with the SHARED BM25 relevance scorer + global
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word-shingle near-dup suppression) lives in Rust (``crates/headroom-core``),
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reusing the same scorer SmartCrusher uses rather than reimplementing it. This
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wrapper only keeps the Python-facing interface stable for ContentRouter + tests.
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TextCrusher is the request-path-safe alternative to ModernBERT (kompress) for
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large plain text: ~milliseconds instead of minutes. Extractive -- the kept
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sentences are verbatim words (each segment trimmed, re-joined with newlines),
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never paraphrased; it selects, it does not rewrite.
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"""
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import Any
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from headroom._core import TextCrusher as _RustTextCrusher
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from headroom._core import TextCrusherConfig as _RustTextCrusherConfig
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@dataclass
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class TextCrusherConfig:
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target_ratio: float = 0.5
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w_recency: float = 1.0
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w_relevance: float = 2.0
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w_salience: float = 1.5
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min_segment_chars: int = 12
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near_dup_threshold: float = 0.85
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min_segments_for_crush: int = 6
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class TextCrusher:
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"""Extractive prose compressor. ``compress`` returns a result whose
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``compressed`` text is the kept input sentences verbatim (each trimmed,
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re-joined with newlines) in original order -- selection, not rewriting.
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Backed by the Rust core."""
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def __init__(self, config: TextCrusherConfig | None = None) -> None:
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cfg = config or TextCrusherConfig()
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self._rust = _RustTextCrusher(
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_RustTextCrusherConfig(
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target_ratio=cfg.target_ratio,
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w_recency=cfg.w_recency,
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w_relevance=cfg.w_relevance,
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w_salience=cfg.w_salience,
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min_segment_chars=cfg.min_segment_chars,
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near_dup_threshold=cfg.near_dup_threshold,
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min_segments_for_crush=cfg.min_segments_for_crush,
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)
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)
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def compress(self, content: str, context: str = "", target_ratio: float | None = None) -> Any:
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"""Returns a ``TextCrusherResult`` (Rust pyclass) with ``.compressed``,
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``.original_tokens``, ``.compressed_tokens``, ``.compression_ratio``,
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``.kept_segments``, ``.total_segments``."""
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return self._rust.compress(content, context, target_ratio)
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