anti
627fa59c15
Bucket ctx.duration_s against SESSION_DURATION_SHORT_MAX (60s) / MEDIUM_MAX (600s) / LONG_MAX (3600s); else marathon. Direct measurement, confidence 0.85. Skip emission only when no commands and zero duration. New _features/temporal.py module opens Phase E.
51 lines
1.8 KiB
Python
51 lines
1.8 KiB
Python
"""Step E.1: ``temporal.session_duration``."""
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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 = "temporal.session_duration"
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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 test_empty_session_no_emission() -> None:
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out = list(extract_session([], sid="dur-empty"))
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assert [o for o in out if o.primitive == PRIMITIVE] == []
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def test_under_60s_emits_short() -> None:
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events: list[AsciinemaEvent] = [(0.0, "i", "a"), (30.0, "i", "b")]
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obs = _of(list(extract_session(events, sid="dur-short")), PRIMITIVE)
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assert obs.value == "short"
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def test_under_600s_emits_medium() -> None:
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events: list[AsciinemaEvent] = [(0.0, "i", "a"), (300.0, "i", "b")]
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obs = _of(list(extract_session(events, sid="dur-med")), PRIMITIVE)
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assert obs.value == "medium"
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def test_under_3600s_emits_long() -> None:
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events: list[AsciinemaEvent] = [(0.0, "i", "a"), (1800.0, "i", "b")]
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obs = _of(list(extract_session(events, sid="dur-long")), PRIMITIVE)
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assert obs.value == "long"
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def test_over_3600s_emits_marathon() -> None:
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events: list[AsciinemaEvent] = [(0.0, "i", "a"), (7200.0, "i", "b")]
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obs = _of(list(extract_session(events, sid="dur-marathon")), PRIMITIVE)
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assert obs.value == "marathon"
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def test_high_confidence() -> None:
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"""Duration is a fact, not an inference — confidence stays high."""
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events: list[AsciinemaEvent] = [(0.0, "i", "a"), (30.0, "i", "b")]
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obs = _of(list(extract_session(events, sid="dur-conf")), PRIMITIVE)
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assert obs.confidence >= 0.80
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