Turn on mypy warn_return_any (pyproject) and resolve the 84 resulting
[no-any-return] errors across 43 files with typing.cast() at the return
sites — runtime no-ops that make the declared return type explicit where a
dependency (SQLAlchemy scalar/first/one, httpx .json(), subprocess, docker
SDK) hands back Any. No behavior change: no DTO/table field types altered, no
validation/coercion calls added, every cast reflects the true runtime type.
Locks in return-type strictness so the class of bug where a function silently
widens to Any can't regress. mypy decnet/ clean; adversarially verified
behavior-preserving (84 casts 1:1 with prior returns).
Bump tornado 6.5.5 -> 6.5.7 (CVE-2026-49854, transitive via snakeviz).
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.
aggregate_numeric(): EWMA + dispersion (CV) over numeric primitive
values. Stable when CV < 20% AND mean shift < 30%; drifting on >= 30%
mean shift; conflicted on CV > 100%. Confidence is 1 - min(CV, 1).
multi_actor is intentionally NOT a numeric state — bimodal
distributions belong to the categorical detector once the value space
is bucketed.
aggregate_hash(): counts distinct hash values within
HASH_DRIFT_WINDOW_SECS of the most recent observation. 0 rotations =
stable, 1..HASH_DRIFT_MAX = drifting, > HASH_DRIFT_MAX = conflicted.
Reads rotation events; never recomputes hashes (DEBT-032 already
produces them via decnet.correlation.fingerprint_rotation).
aggregate_observations() dispatcher now routes "categorical" |
"numeric" | "hash" | None and rejects unknown kinds with ValueError
(louder than NotImplementedError now that all three v0 mergers
exist). 17 synthetic-input tests cover both new mergers and the
dispatcher.
aggregate_categorical(): pure function over a per-(identity, primitive)
observation list. Five-state vocabulary, last-N=5 window comparison
with one-outlier-tolerant majority threshold:
* unknown — < 3 observations
* stable — recent 5 agree (≥ 4 of 5 share top value), older 5 same
* drifting — recent 5 stable but disagrees with older 5, or older
was conflicted and recent stabilised
* conflicted — recent 5 split, no two-value alternation pattern
* multi_actor — recent 5 split + alternation between exactly two
values (operator A↔B handoff). Confidence capped at 0.6 per
_thresholds.MULTI_ACTOR_MAX_CONFIDENCE; flapping primitives on
flaky networks would otherwise look like two operators.
aggregate_observations() dispatcher honours value_kind="categorical"
(or None) and raises NotImplementedError for "numeric" / "hash" so
Phase 3 lands cleanly. 14 synthetic-input tests cover every state
+ boundary condition.
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.
