Files
DECNET/decnet/profiler/behave_shell/_features/motor.py
anti 879f5e731b feat(profiler/behave_shell): emit motor.input_modality
BEHAVE-EXTRACTOR.md Phase A Step 2. The first primitive — picked
first because it has the highest discriminative value (HUMAN vs
everyone) and the simplest implementation (paste-event ratio over
total inputs).

* _features/motor.py:input_modality(ctx) emits one Observation
  per session in {typed, pasted, mixed} with confidence 0.75 / 0.70.
* _features/_emit.py centralises the make_observation helper so
  every feature module gets the same Window/source/evidence_ref
  boilerplate without copy-paste.
* Thresholds inherited from the prototype's calibration history
  (MODALITY_PASTED_MIN=0.40, MODALITY_TYPED_MAX=0.05).
* Zero-input session skips emission — registry doesn't admit
  "unknown" here.

Tests: pure-typed → typed, pure-pasted → pasted, mixed → mixed,
output-only session → no observation, full envelope round-trip.
2026-05-03 07:47:38 -04:00

46 lines
1.3 KiB
Python

"""``motor.*`` feature functions.
Step 2: ``motor.input_modality`` — typed / pasted / mixed.
Step 3: ``motor.paste_burst_rate`` — none / occasional / habitual.
"""
from __future__ import annotations
from typing import Iterator
from decnet_behave_core.spec.envelope import Observation
from decnet.profiler.behave_shell._ctx import SessionContext
from decnet.profiler.behave_shell._features._emit import make_observation
from decnet.profiler.behave_shell._thresholds import (
MODALITY_PASTED_MIN,
MODALITY_TYPED_MAX,
)
def input_modality(ctx: SessionContext) -> Iterator[Observation]:
"""Emit ``motor.input_modality`` ∈ {typed, pasted, mixed}.
Ratio of paste-class events to total inputs. Empty input → skip
emission entirely (the registry doesn't admit ``unknown`` here
and fabricating ``typed`` for a zero-input session is dishonest).
"""
n = len(ctx.input_events)
if n == 0:
return
ratio = ctx.paste_event_count / n
if ratio >= MODALITY_PASTED_MIN:
modality = "pasted"
confidence = 0.75
elif ratio <= MODALITY_TYPED_MAX:
modality = "typed"
confidence = 0.75
else:
modality = "mixed"
confidence = 0.70
yield make_observation(
ctx,
primitive="motor.input_modality",
value=modality,
confidence=confidence,
)