feat(profiler/behave_shell): G.3 operational.cleanup_behavior
* thorough — ≥ CLEANUP_THOROUGH_MIN_DISTINCT (3) distinct cleanup-family hashes in tail-CLEANUP_TAIL_K (5). * partial — 1-2 distinct. * none — zero hits. Adjacent to E.4's binary exit_behavior=cleanup; G.3 graduates the intensity. Confidence 0.55 above 8 commands; 0.35 below.
This commit is contained in:
@@ -32,6 +32,7 @@ from decnet.profiler.behave_shell._features.environmental import (
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terminal_multiplexer,
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terminal_multiplexer,
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)
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)
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from decnet.profiler.behave_shell._features.operational import (
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from decnet.profiler.behave_shell._features.operational import (
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cleanup_behavior,
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objective,
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objective,
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opsec_discipline,
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opsec_discipline,
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)
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)
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@@ -87,4 +88,5 @@ FEATURES: tuple[FeatureFn, ...] = (
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numpad_usage,
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numpad_usage,
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objective,
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objective,
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opsec_discipline,
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opsec_discipline,
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cleanup_behavior,
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)
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)
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@@ -22,6 +22,8 @@ from decnet.profiler.behave_shell._intent import (
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classify_intent,
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classify_intent,
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)
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)
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from decnet.profiler.behave_shell._thresholds import (
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from decnet.profiler.behave_shell._thresholds import (
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CLEANUP_TAIL_K,
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CLEANUP_THOROUGH_MIN_DISTINCT,
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EXIT_BEHAVIOR_LOOKBACK_K,
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EXIT_BEHAVIOR_LOOKBACK_K,
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INTENT_FULL_CONFIDENCE_MIN,
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INTENT_FULL_CONFIDENCE_MIN,
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INTENT_MIN_COMMANDS,
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INTENT_MIN_COMMANDS,
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@@ -109,3 +111,43 @@ def opsec_discipline(ctx: SessionContext) -> Iterator[Observation]:
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value=value,
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value=value,
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confidence=confidence,
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confidence=confidence,
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)
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)
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def cleanup_behavior(ctx: SessionContext) -> Iterator[Observation]:
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"""Emit ``operational.cleanup_behavior`` ∈ {thorough, partial, none}.
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Inspect the last ``CLEANUP_TAIL_K`` (=5) commands. Count distinct
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cleanup-family hashes (``history`` / ``unset`` / ``rm`` / ``shred``
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/ ``clear`` / ``kill``) in that window:
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* ``thorough`` — ≥ ``CLEANUP_THOROUGH_MIN_DISTINCT`` (3) distinct
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cleanup tokens.
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* ``partial`` — 1-2 distinct cleanup tokens.
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* ``none`` — zero hits.
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Adjacent to E.4's ``exit_behavior=cleanup`` emission — E.4 is
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binary "did it happen", G.3 graduates intensity. Both ride.
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Skip emission when no commands. Confidence 0.55 when commands ≥ 8;
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0.35 below.
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"""
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if not ctx.commands:
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return
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tail = ctx.commands[-CLEANUP_TAIL_K:]
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distinct = {
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c.first_token_hash for c in tail
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if c.first_token_hash in _CLEANUP_TOKEN_HASHES
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}
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if len(distinct) >= CLEANUP_THOROUGH_MIN_DISTINCT:
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value = "thorough"
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elif len(distinct) >= 1:
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value = "partial"
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else:
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value = "none"
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confidence = 0.55 if len(ctx.commands) >= 8 else 0.35
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yield make_observation(
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ctx,
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primitive="operational.cleanup_behavior",
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value=value,
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confidence=confidence,
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)
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@@ -0,0 +1,95 @@
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"""Step G.3: ``operational.cleanup_behavior`` ∈ {thorough, partial, none}."""
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from __future__ import annotations
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from decnet.profiler.behave_shell import extract_session
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from decnet.profiler.behave_shell._parse import AsciinemaEvent
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PRIMITIVE = "operational.cleanup_behavior"
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def _of(observations: list, primitive: str):
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obs = [o for o in observations if o.primitive == primitive]
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assert len(obs) == 1, f"expected exactly one {primitive}, got {len(obs)}"
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return obs[0]
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def _typed(text: str, t0: float = 0.0, dt: float = 0.05) -> list[AsciinemaEvent]:
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return [(t0 + i * dt, "i", c) for i, c in enumerate(text)]
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def _cmd(token: str, t0: float, *, with_prompt: bool = True) -> list[AsciinemaEvent]:
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events = _typed(f"{token}\r", t0=t0)
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cmd_end = t0 + len(token) * 0.05
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if with_prompt:
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events.append((cmd_end + 0.10, "o", "out\nanti@host:~$ "))
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else:
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events.append((cmd_end + 0.10, "o", "out\n"))
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return events
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def test_no_commands_no_emission() -> None:
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out = list(extract_session([(0.0, "i", "x")], sid="g3-empty"))
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assert [o for o in out if o.primitive == PRIMITIVE] == []
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def test_thorough_three_distinct_cleanup_in_tail() -> None:
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events = (
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_cmd("ls", t0=0.0)
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+ _cmd("history", t0=1.0)
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+ _cmd("rm", t0=2.0)
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+ _cmd("shred", t0=3.0)
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+ _cmd("clear", t0=4.0)
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)
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obs = _of(list(extract_session(events, sid="g3-thorough")), PRIMITIVE)
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assert obs.value == "thorough"
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def test_partial_two_distinct_cleanup() -> None:
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events = (
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_cmd("ls", t0=0.0)
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+ _cmd("pwd", t0=1.0)
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+ _cmd("rm", t0=2.0)
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+ _cmd("clear", t0=3.0)
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)
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obs = _of(list(extract_session(events, sid="g3-partial")), PRIMITIVE)
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assert obs.value == "partial"
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def test_none_no_cleanup() -> None:
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events = (
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_cmd("ls", t0=0.0)
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+ _cmd("pwd", t0=1.0)
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+ _cmd("cat", t0=2.0)
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)
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obs = _of(list(extract_session(events, sid="g3-none")), PRIMITIVE)
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assert obs.value == "none"
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def test_low_command_count_lower_confidence() -> None:
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events = _cmd("ls", t0=0.0) + _cmd("pwd", t0=1.0)
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obs = _of(list(extract_session(events, sid="g3-thin")), PRIMITIVE)
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assert obs.confidence == 0.35
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def test_high_command_count_higher_confidence() -> None:
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events: list[AsciinemaEvent] = []
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for i, tok in enumerate(["ls", "pwd", "cat", "find", "ps", "ss", "id", "uname", "rm", "clear"]):
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events += _cmd(tok, t0=float(i))
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obs = _of(list(extract_session(events, sid="g3-conf")), PRIMITIVE)
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assert obs.confidence == 0.55
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def test_only_tail_window_counts() -> None:
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"""``rm`` early then 5 recon commands → tail has zero cleanup → none."""
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events = (
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_cmd("rm", t0=0.0)
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+ _cmd("ls", t0=1.0)
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+ _cmd("pwd", t0=2.0)
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+ _cmd("cat", t0=3.0)
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+ _cmd("find", t0=4.0)
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+ _cmd("ps", t0=5.0)
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+ _cmd("ss", t0=6.0)
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)
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obs = _of(list(extract_session(events, sid="g3-window")), PRIMITIVE)
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assert obs.value == "none"
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