anti
c9a81a23c2
BEHAVE-EXTRACTOR.md Phase A Step 1. Lays the shared primitives that Steps 2-3 (motor.input_modality, motor.paste_burst_rate) will consume: * parse_shard_line / parse_shard turn a shard JSONL line/file into AsciinemaEvents, skipping headers and malformed records. * PasteBurst dataclass + _detect_paste_bursts group consecutive paste-class input events (len(d) >= 4 chars per the prototype's empirical floor) into contiguous bursts, splitting on IAT gaps larger than PASTE_BURST_MAX_IAT_S (200ms). * SessionContext now carries iats and paste_bursts derivations. * Threshold constants harvested from BEHAVE/prototype_extractors/shell/extract.py — calibrated against the five 2026-05-02 shards. Tests cover pure-typed, pure-pasted, mixed streams; close vs far paste events; typed events breaking a burst; PasteBurst immutability; and the JSON parser's junk handling.
38 lines
2.0 KiB
Python
38 lines
2.0 KiB
Python
"""Numeric thresholds for BEHAVE-SHELL primitive classification.
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Each constant cites its calibration source. When the registry's
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``notes:`` field disagrees with a constant here, the registry is
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authoritative — fix the constant, re-run the calibration grid.
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Empirical thresholds inherited from the BEHAVE prototype extractor
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(``BEHAVE/prototype_extractors/shell/extract.py``); see lines 40-90 of
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that file for the calibration history. Any change here must keep the
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five-class grid green.
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"""
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from __future__ import annotations
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# ── paste-burst detection (Step 1) ──────────────────────────────────────────
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# A single input event with ≥ PASTE_MIN_CHARS_PER_EVENT chars is the
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# paste-class proxy used by the prototype; xterm-kitty / iTerm / VS Code
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# pastes arrive as one bulk write.
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PASTE_MIN_CHARS_PER_EVENT: int = 4
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# Consecutive paste-class events arriving within this IAT collapse into
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# one PasteBurst record. 200ms is the prototype's IKI burst cap.
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PASTE_BURST_MAX_IAT_S: float = 0.20
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# ── motor.input_modality (Step 2) ───────────────────────────────────────────
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# Paste-event ratio thresholds. ≥ 40% paste events → "pasted" (LLM-driven);
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# ≤ 5% → "typed" (human at the keyboard); in between → "mixed".
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# Lowered from 0.5 after the 47.6% case in sessions-2026-05-02-with-llm.jsonl
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# was clearly LLM-driven but missed the 0.5 floor.
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MODALITY_PASTED_MIN: float = 0.40
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MODALITY_TYPED_MAX: float = 0.05
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# ── motor.paste_burst_rate (Step 3) ─────────────────────────────────────────
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# Same paste-event ratio re-bucketed for the "how often does the operator
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# paste" axis. Coarser than input_modality on purpose: this primitive is the
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# habit signal, input_modality is the dominant-channel signal.
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PASTE_RATE_HABITUAL_MIN: float = 0.50
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PASTE_RATE_OCCASIONAL_MIN: float = 0.10
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