anti
f2b3393669
Replaces LICENSE (GPLv3 -> AGPLv3) and prepends `SPDX-License-Identifier: AGPL-3.0-or-later` to every source file across decnet/, decnet_web/, tests/, scripts/, and tools/. Rationale: closes the GPLv3 ASP loophole so any party operating a modified DECNET as a network service must offer their modified source. Personal copyright (Samuel Paschuan) + inbound=outbound contributions make a future unilateral relicense infeasible. - LICENSE: full AGPL-3.0 text (gnu.org/licenses/agpl-3.0.txt) - COPYRIGHT: project copyright notice - tools/add_spdx_headers.py: idempotent header injector (shebang- and PEP 263-aware) Touches 1565 source files (.py, .ts, .tsx, .js, .jsx, .css, .sh). No behavior change; comments only.
65 lines
2.4 KiB
Python
65 lines
2.4 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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"""Step 6: ``cognitive.command_branch_diversity``."""
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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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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 _commands(first_tokens: list[str]) -> list[AsciinemaEvent]:
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"""One command per token, well-spaced."""
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events: list[AsciinemaEvent] = []
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t = 0.0
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for tok in first_tokens:
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events.append((t, "i", f"{tok} arg\r"))
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t += 1.0
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return events
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def test_under_floor_emits_unknown_high_confidence() -> None:
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out = list(extract_session(_commands(["ls", "ps", "id"]), sid="bd-low"))
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obs = _of(out, "cognitive.command_branch_diversity")
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assert obs.value == "unknown"
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assert obs.confidence == 1.0
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def test_unique_first_tokens_emit_linear_playbook() -> None:
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# 8 distinct tools — ratio 1.0 → linear_playbook
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tokens = ["uname", "id", "whoami", "pwd", "ls", "ps", "netstat", "ss"]
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out = list(extract_session(_commands(tokens), sid="bd-linear"))
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obs = _of(out, "cognitive.command_branch_diversity")
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assert obs.value == "linear_playbook"
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assert obs.confidence == 0.80
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def test_repeated_first_tokens_emit_adaptive_branching() -> None:
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# 8 commands, only 3 distinct — ratio 0.375 < 0.60
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tokens = ["curl", "curl", "curl", "ls", "curl", "ls", "curl", "ps"]
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out = list(extract_session(_commands(tokens), sid="bd-adaptive"))
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obs = _of(out, "cognitive.command_branch_diversity")
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assert obs.value == "adaptive_branching"
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def test_just_below_linear_threshold_emits_adaptive() -> None:
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# 7 commands, 4 unique → ratio ≈ 0.57 — below the 0.70 linear floor.
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tokens = ["a", "b", "c", "d", "a", "b", "c"]
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out = list(extract_session(_commands(tokens), sid="bd-just-adaptive"))
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obs = _of(out, "cognitive.command_branch_diversity")
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assert obs.value == "adaptive_branching"
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def test_pii_no_command_bodies_in_observation() -> None:
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out = list(extract_session(_commands(
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["secret_arg_payload"] * 6,
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), sid="bd-pii"))
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obs = _of(out, "cognitive.command_branch_diversity")
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# Whatever the verdict, the raw token must not be in the dump
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serialised = obs.model_dump_json()
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assert "secret_arg_payload" not in serialised
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