feat(profiler/behave_shell): G.7 emotional_valence.stress_response

Compare median post-error intra-command IATs against baseline
(commands not immediately following an errored command):

* ratio ≥ STRESS_EUSTRESS_RATIO_MIN (1.20) → eustress_positive
* ratio ≤ 1/STRESS_DISTRESS_RATIO_MIN     → distress_negative
* otherwise                                → none

Confidence hard-capped at 0.5; 0.30 below
STRESS_MIN_ERRORED_WITH_IATS (2).
This commit is contained in:
2026-05-08 16:36:34 -04:00
parent d4dc7dff81
commit 40a283a7ec
3 changed files with 160 additions and 0 deletions

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@@ -26,6 +26,7 @@ from decnet.profiler.behave_shell._features.cognitive import (
)
from decnet.profiler.behave_shell._features.emotional_valence import (
arousal,
stress_response,
valence,
)
from decnet.profiler.behave_shell._features.environmental import (
@@ -97,4 +98,5 @@ FEATURES: tuple[FeatureFn, ...] = (
multi_actor_indicators,
valence,
arousal,
stress_response,
)

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@@ -26,6 +26,9 @@ from decnet.profiler.behave_shell._thresholds import (
AROUSAL_FAST_IAT_S,
AROUSAL_MIN_IATS,
EMOTIONAL_VALENCE_CONFIDENCE_CAP,
STRESS_DISTRESS_RATIO_MIN,
STRESS_EUSTRESS_RATIO_MIN,
STRESS_MIN_ERRORED_WITH_IATS,
VALENCE_FULL_CONFIDENCE_MIN,
VALENCE_MIN_HITS,
VALENCE_MIN_TYPED_CHARS,
@@ -117,3 +120,69 @@ def arousal(ctx: SessionContext) -> Iterator[Observation]:
value=value,
confidence=_cap_soft(raw),
)
def stress_response(ctx: SessionContext) -> Iterator[Observation]:
"""Emit ``emotional_valence.stress_response`` ∈ {none,
eustress_positive, distress_negative}.
Compare typing speed *after* an errored command vs the session
baseline:
* For each errored command at index ``i``, gather
``ctx.intra_command_iats[i+1]`` — the response command's intra-
command IATs.
* Baseline: median of all intra-command IATs from commands NOT
immediately following an errored command.
Verdict by ratio of post-error / baseline:
* ratio ≥ ``STRESS_EUSTRESS_RATIO_MIN`` (1.20) → ``eustress_positive``
(slowed down — recovered, deliberate).
* ratio ≤ ``1 / STRESS_DISTRESS_RATIO_MIN`` → ``distress_negative``
(sped up — anxious, mashing keys).
* otherwise → ``none``.
Skip emission when no commands. Confidence hard-capped at 0.50;
0.30 below ``STRESS_MIN_ERRORED_WITH_IATS`` (2) errored commands
with non-empty post-error IAT data.
"""
if not ctx.commands:
return
post_error_iats: list[float] = []
baseline_iats: list[float] = []
n = len(ctx.commands)
qualifying_errored = 0
for i, cmd in enumerate(ctx.commands):
is_post_error = i > 0 and ctx.commands[i - 1].errored
iats = list(ctx.intra_command_iats[i]) if i < len(ctx.intra_command_iats) else []
if is_post_error:
if iats:
qualifying_errored += 1
post_error_iats.extend(iats)
else:
baseline_iats.extend(iats)
# mypy: silence unused-var on n / cmd (kept for clarity)
_ = (n, cmd)
if not post_error_iats or not baseline_iats:
value = "none"
else:
med_post = statistics.median(post_error_iats)
med_base = statistics.median(baseline_iats)
if med_base <= 0.0:
value = "none"
else:
ratio = med_post / med_base
if ratio >= STRESS_EUSTRESS_RATIO_MIN:
value = "eustress_positive"
elif ratio <= 1.0 / STRESS_DISTRESS_RATIO_MIN:
value = "distress_negative"
else:
value = "none"
raw = 0.50 if qualifying_errored >= STRESS_MIN_ERRORED_WITH_IATS else 0.30
yield make_observation(
ctx,
primitive="emotional_valence.stress_response",
value=value,
confidence=_cap_soft(raw),
)

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@@ -0,0 +1,89 @@
"""Step G.7: ``emotional_valence.stress_response`` ∈ {none,
eustress_positive, distress_negative}.
Hard 0.5 confidence cap.
"""
from __future__ import annotations
from decnet.profiler.behave_shell import extract_session
from decnet.profiler.behave_shell._parse import AsciinemaEvent
PRIMITIVE = "emotional_valence.stress_response"
def _of(observations: list, primitive: str):
obs = [o for o in observations if o.primitive == primitive]
assert len(obs) == 1, f"expected exactly one {primitive}, got {len(obs)}"
return obs[0]
def _typed(text: str, t0: float, dt: float = 0.05) -> list[AsciinemaEvent]:
return [(t0 + i * dt, "i", c) for i, c in enumerate(text)]
def _cmd_with_error(token: str, t0: float, dt: float = 0.05) -> list[AsciinemaEvent]:
"""Emit one command followed by an error-fingerprint output line."""
events = _typed(f"{token}\r", t0=t0, dt=dt)
cmd_end = t0 + len(token) * dt
events.append((cmd_end + 0.10, "o", "bash: command not found\nanti@host:~$ "))
return events
def _cmd_ok(token: str, t0: float, dt: float = 0.05) -> list[AsciinemaEvent]:
events = _typed(f"{token}\r", t0=t0, dt=dt)
cmd_end = t0 + len(token) * dt
events.append((cmd_end + 0.10, "o", "out\nanti@host:~$ "))
return events
def test_no_commands_no_emission() -> None:
out = list(extract_session([(0.0, "i", "x")], sid="g7-empty"))
assert [o for o in out if o.primitive == PRIMITIVE] == []
def test_no_errors_emits_none() -> None:
events = _cmd_ok("hostname", t0=0.0) + _cmd_ok("date", t0=2.0)
obs = _of(list(extract_session(events, sid="g7-noerr")), PRIMITIVE)
assert obs.value == "none"
def test_distress_post_error_speed_up() -> None:
"""After an error, the operator types the next command faster."""
events = (
_cmd_ok("hostname", t0=0.0, dt=0.20)
+ _cmd_ok("date", t0=2.0, dt=0.20)
+ _cmd_with_error("foobar", t0=4.0, dt=0.20)
+ _cmd_ok("hostname", t0=6.0, dt=0.04) # post-error: fast
+ _cmd_with_error("baz", t0=8.0, dt=0.20)
+ _cmd_ok("date", t0=10.0, dt=0.04) # post-error: fast
+ _cmd_ok("hostname", t0=12.0, dt=0.20)
)
obs = _of(list(extract_session(events, sid="g7-dist")), PRIMITIVE)
assert obs.value == "distress_negative"
def test_eustress_post_error_slow_down() -> None:
"""After an error, the operator slows down — deliberate recovery."""
events = (
_cmd_ok("hostname", t0=0.0, dt=0.04)
+ _cmd_ok("date", t0=2.0, dt=0.04)
+ _cmd_with_error("foobar", t0=4.0, dt=0.04)
+ _cmd_ok("hostname", t0=6.0, dt=0.20) # post-error: slow
+ _cmd_with_error("baz", t0=8.0, dt=0.04)
+ _cmd_ok("date", t0=10.0, dt=0.20) # post-error: slow
+ _cmd_ok("hostname", t0=12.0, dt=0.04)
)
obs = _of(list(extract_session(events, sid="g7-eu")), PRIMITIVE)
assert obs.value == "eustress_positive"
def test_confidence_capped_at_05() -> None:
events = (
_cmd_with_error("foobar", t0=0.0, dt=0.05)
+ _cmd_ok("hostname", t0=2.0, dt=0.20)
+ _cmd_with_error("baz", t0=4.0, dt=0.05)
+ _cmd_ok("date", t0=6.0, dt=0.20)
)
obs = _of(list(extract_session(events, sid="g7-cap")), PRIMITIVE)
assert obs.confidence <= 0.50