From 79f253c969bbe07d76001742e2fbc7cbd7319282 Mon Sep 17 00:00:00 2001
From: anti <samuel@securejump.cl>
Date: Fri, 8 May 2026 16:37:29 -0400
Subject: [PATCH] feat(profiler/behave_shell): G.8
 emotional_valence.frustration_venting
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Binary read of ctx.obscenity_hits (G.0 lexical counter):
* detected — obscenity_hits ≥ 1
* none     — zero hits

Skip below FRUST_VENT_MIN_TYPED_CHARS (30). Confidence hard-capped at
0.5: 0.40 when detected, 0.50 only when cleanly absent over ≥ 200
typed letters, 0.30 otherwise.
---
 .../behave_shell/_features/__init__.py        |  2 +
 .../_features/emotional_valence.py            | 35 +++++++++++++
 ...t_emotional_valence_frustration_venting.py | 52 +++++++++++++++++++
 3 files changed, 89 insertions(+)
 create mode 100644 tests/profiler/behave_shell/test_emotional_valence_frustration_venting.py

diff --git a/decnet/profiler/behave_shell/_features/__init__.py b/decnet/profiler/behave_shell/_features/__init__.py
index 1f9d8e24..b0231ef2 100644
--- a/decnet/profiler/behave_shell/_features/__init__.py
+++ b/decnet/profiler/behave_shell/_features/__init__.py
@@ -26,6 +26,7 @@ from decnet.profiler.behave_shell._features.cognitive import (
 )
 from decnet.profiler.behave_shell._features.emotional_valence import (
     arousal,
+    frustration_venting,
     stress_response,
     valence,
 )
@@ -99,4 +100,5 @@ FEATURES: tuple[FeatureFn, ...] = (
     valence,
     arousal,
     stress_response,
+    frustration_venting,
 )
diff --git a/decnet/profiler/behave_shell/_features/emotional_valence.py b/decnet/profiler/behave_shell/_features/emotional_valence.py
index 10fe8c9f..c2c715fc 100644
--- a/decnet/profiler/behave_shell/_features/emotional_valence.py
+++ b/decnet/profiler/behave_shell/_features/emotional_valence.py
@@ -26,6 +26,8 @@ from decnet.profiler.behave_shell._thresholds import (
     AROUSAL_FAST_IAT_S,
     AROUSAL_MIN_IATS,
     EMOTIONAL_VALENCE_CONFIDENCE_CAP,
+    FRUST_VENT_FULL_CONFIDENCE_MIN,
+    FRUST_VENT_MIN_TYPED_CHARS,
     STRESS_DISTRESS_RATIO_MIN,
     STRESS_EUSTRESS_RATIO_MIN,
     STRESS_MIN_ERRORED_WITH_IATS,
@@ -186,3 +188,36 @@ def stress_response(ctx: SessionContext) -> Iterator[Observation]:
         value=value,
         confidence=_cap_soft(raw),
     )
+
+
+def frustration_venting(ctx: SessionContext) -> Iterator[Observation]:
+    """Emit ``emotional_valence.frustration_venting`` ∈ {none, detected}.
+
+    Pure read of ``ctx.obscenity_hits`` (G.0 lexical counter):
+
+    * ``detected`` — ``obscenity_hits ≥ 1``.
+    * ``none`` — zero hits.
+
+    Skip emission below ``FRUST_VENT_MIN_TYPED_CHARS`` (30) typed
+    letters — too thin to call cleanly absent. Confidence hard-capped
+    at 0.50; 0.40 when ``detected``; 0.50 only when ``none`` AND
+    typed_letter_count ≥ ``FRUST_VENT_FULL_CONFIDENCE_MIN`` (200);
+    0.30 otherwise.
+    """
+    if ctx.typed_letter_count < FRUST_VENT_MIN_TYPED_CHARS:
+        return
+    if ctx.obscenity_hits >= 1:
+        value = "detected"
+        raw = 0.40
+    else:
+        value = "none"
+        if ctx.typed_letter_count >= FRUST_VENT_FULL_CONFIDENCE_MIN:
+            raw = 0.50
+        else:
+            raw = 0.30
+    yield make_observation(
+        ctx,
+        primitive="emotional_valence.frustration_venting",
+        value=value,
+        confidence=_cap_soft(raw),
+    )
diff --git a/tests/profiler/behave_shell/test_emotional_valence_frustration_venting.py b/tests/profiler/behave_shell/test_emotional_valence_frustration_venting.py
new file mode 100644
index 00000000..b72ddb8c
--- /dev/null
+++ b/tests/profiler/behave_shell/test_emotional_valence_frustration_venting.py
@@ -0,0 +1,52 @@
+"""Step G.8: ``emotional_valence.frustration_venting`` ∈ {none, detected}.
+
+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.frustration_venting"
+
+
+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 = 0.0, dt: float = 0.05) -> list[AsciinemaEvent]:
+    return [(t0 + i * dt, "i", c) for i, c in enumerate(text)]
+
+
+def test_too_little_text_no_emission() -> None:
+    out = list(extract_session(_typed("hi"), sid="g8-thin"))
+    assert [o for o in out if o.primitive == PRIMITIVE] == []
+
+
+def test_detected_when_obscenity_present() -> None:
+    text = "hostname date hostname date oh fuck this is broken really "
+    obs = _of(list(extract_session(_typed(text), sid="g8-yes")), PRIMITIVE)
+    assert obs.value == "detected"
+    assert obs.confidence == 0.40
+
+
+def test_none_when_clean() -> None:
+    text = "hostname date hostname date hostname date hostname date "
+    obs = _of(list(extract_session(_typed(text), sid="g8-no")), PRIMITIVE)
+    assert obs.value == "none"
+
+
+def test_high_confidence_when_long_clean() -> None:
+    text = "hostname date " * 30
+    obs = _of(list(extract_session(_typed(text), sid="g8-long")), PRIMITIVE)
+    assert obs.value == "none"
+    assert obs.confidence == 0.50
+
+
+def test_cap_never_exceeded() -> None:
+    text = "fuck shit damn " * 30
+    obs = _of(list(extract_session(_typed(text), sid="g8-cap")), PRIMITIVE)
+    assert obs.confidence <= 0.50