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chopratejas--headroom/headroom/transforms/text_crusher.py
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chore: import upstream snapshot with attribution
2026-07-13 12:03:20 +08:00

60 lines
2.4 KiB
Python

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