# SPDX-License-Identifier: AGPL-3.0-or-later """Step D.4: ``cognitive.tool_vocabulary``.""" from __future__ import annotations from decnet.profiler.behave_shell import extract_session from decnet.profiler.behave_shell._parse import AsciinemaEvent 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 _cmds(tokens: list[str]) -> list[AsciinemaEvent]: events: list[AsciinemaEvent] = [] for i, tok in enumerate(tokens): t0 = i * 1.0 for j, c in enumerate(tok): events.append((t0 + j * 0.05, "i", c)) events.append((t0 + len(tok) * 0.05, "i", "\r")) return events def test_no_commands_no_emission() -> None: out = list(extract_session([(0.0, "i", "x")], sid="tv-empty")) assert [o for o in out if o.primitive == "cognitive.tool_vocabulary"] == [] def test_few_distinct_tools_emit_narrow() -> None: out = list(extract_session( _cmds(["ls", "ls", "ps", "ps", "ls", "ps", "ls", "ps"]), sid="tv-narrow", )) obs = _of(out, "cognitive.tool_vocabulary") assert obs.value == "narrow" def test_mid_distinct_emit_moderate() -> None: out = list(extract_session( _cmds(["ls", "ps", "id", "uname", "whoami", "pwd"]), sid="tv-mod", )) obs = _of(out, "cognitive.tool_vocabulary") assert obs.value == "moderate" def test_many_distinct_tools_emit_broad() -> None: out = list(extract_session( _cmds(["a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k"]), sid="tv-broad", )) obs = _of(out, "cognitive.tool_vocabulary") assert obs.value == "broad" def test_low_sample_count_reduces_confidence() -> None: short = list(extract_session(_cmds(["a", "b"]), sid="tv-short")) full = list(extract_session(_cmds(["a", "b", "c", "d", "e", "f"]), sid="tv-full")) s = _of(short, "cognitive.tool_vocabulary") f = _of(full, "cognitive.tool_vocabulary") assert s.confidence < f.confidence