anti
c2891d6cca
v0 Phase 1 of ATTRIBUTION-ENGINE.md:
* AttributionStateRow SQLModel keyed on (identity_uuid, primitive)
per ANTI direction — re-keying state rows when the v1 clusterer
merges attackers is the migration debt v0 should not bake in.
ATTRIBUTION-ENGINE.md updated with the deviation note.
* AttributionMixin: ensure_stub_identity_for_attacker, idempotent
upsert_attribution_state, get_attribution_state[_for_identity],
list_multi_actor_identities (the Phase 5 correlator's read).
* attribution.profile.{state_changed,multi_actor_suspected} bus
topics + builder; wiki Service-Bus.md updated separately.
* attribution_worker.py: subscribes to attacker.observation.>,
ensures stub identity per event, logs and continues. No merger,
no state writes, no derived events — Phase 4 wires those.
* attribution/{aggregate.py,_thresholds.py} skeletons: Phase 2
fills _aggregate_categorical, Phase 3 adds numeric+hash+dispatcher.
22 lines
832 B
Python
22 lines
832 B
Python
"""DECNET attribution engine — v0 aggregation library.
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Pure library: per-(identity, primitive) state machine over BEHAVE-SHELL
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observations. No I/O, no bus, no DB. The bus subscriber and DB writes
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live in :mod:`decnet.correlation.attribution_worker` so this package
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stays trivially testable with synthetic observation lists.
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See ``development/ATTRIBUTION-ENGINE.md`` for the full design and the
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explicit bright line: this engine does NOT do persona classification
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(HUMAN/LLM/SCRIPTED), does NOT gate access, does NOT attribute to
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named persons. It surfaces *behavioural coherence* and *behavioural
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drift*, and stops there.
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"""
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from __future__ import annotations
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from decnet.correlation.attribution.aggregate import (
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AttributionState,
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aggregate_observations,
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)
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__all__ = ["AttributionState", "aggregate_observations"]
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