Files
DECNET/decnet/profiler/behave_shell/_features/__init__.py
anti 8161c67ec5 feat(profiler/behave_shell): emit motor.command_chunking
BEHAVE-EXTRACTOR.md Phase B Step B.4. First implementation —
prototype doesn't ship this primitive.

* SessionContext gains intra_command_iats: per-command tuple of
  IATs between consecutive input events whose timestamps fall
  inside [cmd.start_ts, cmd.end_ts). Excludes the terminator IAT.
  Built by _per_command_iats.
* _features/motor.py:command_chunking(ctx) emits one Observation
  in {fluent, fragmented, single_command}.
  - 0 commands → skip emit
  - 1 command → single_command (registry-allowed point)
  - ≥2 commands → median CV across per-command typed-IATs;
    < CMD_CHUNKING_FLUENT_CV_MAX (0.50) → fluent, else fragmented
  - paste-only sessions (no command has ≥3 typed IATs) → skip emit
    (no honest within-command rhythm to measure)
  Confidence 0.80 / 0.65 / 0.60.
* Calibration grid widened to include motor.command_chunking;
  green across all five shards. Phase B primitive set complete.

Tests: no commands → skip, 1 command → single_command, uniform
typing → fluent, alternating fast/slow → fragmented, paste-only
multi-command → skip emit.
2026-05-03 21:29:31 -04:00

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1.1 KiB
Python

"""Registered feature functions.
Each entry takes a ``SessionContext`` and yields zero or more
``Observation`` instances. Adding a primitive = adding a function in a
sibling module and appending it to ``FEATURES``.
"""
from __future__ import annotations
from typing import Callable, Iterable
from decnet_behave_core.spec.envelope import Observation
from decnet.profiler.behave_shell._ctx import SessionContext
from decnet.profiler.behave_shell._features.cognitive import (
command_branch_diversity,
feedback_loop_engagement,
inter_command_consistency,
inter_command_latency_class,
)
from decnet.profiler.behave_shell._features.motor import (
command_chunking,
error_correction,
input_modality,
keystroke_cadence,
motor_stability,
paste_burst_rate,
)
FeatureFn = Callable[[SessionContext], Iterable[Observation]]
FEATURES: tuple[FeatureFn, ...] = (
input_modality,
paste_burst_rate,
keystroke_cadence,
motor_stability,
error_correction,
command_chunking,
inter_command_latency_class,
command_branch_diversity,
feedback_loop_engagement,
inter_command_consistency,
)