feat(clustering): wire high-weight edges end-to-end

The connected-components clusterer now writes attacker_identities
rows + sets attackers.identity_id when high-weight signals (JA3 /
HASSH / payload-hash / C2-endpoint exact match) agree across
observations. Singletons stay un-fingerprinted and un-clustered.

Algorithm split:
- cluster_observations(observations) — pure union-find over the
  high-weight edge function. Same code path for fixture validation
  and production tick.
- from_attacker_row(row) — production-row adapter; recovers JA3 +
  HASSH from Attacker.fingerprints JSON. Payload + C2 join from
  logs in later commits; the function shape doesn't change.

Repo additions on BaseRepository + SQLModelRepository:
- list_attackers_for_clustering(limit=None)
- create_attacker_identity(row)
- set_attacker_identity_id(attacker_uuid, identity_uuid)
DummyRepo coverage stub updated.

v1 behavior is conservative: only assigns identities to observations
whose identity_id is currently NULL. Multi-identity components are
skipped this pass — merge / re-assign lands in commit 10 with
revocable merges.

Fixture bounds tightened against the production clusterer:
- lone_wolf (F3) — singletons stay singletons
- shared_wordlist (F1) — credential-only overlap doesn't cluster
  (high-weight tier doesn't include credentials)
- vpn_hopping (F2, identity-level) — 5 rotated IPs with stable JA3
  + HASSH fold into one identity, ARI = 1.0, completeness = 1.0
This commit is contained in:
2026-04-26 08:19:56 -04:00
parent a9775c4000
commit de2f4c3a62
5 changed files with 631 additions and 23 deletions

View File

@@ -1,48 +1,257 @@
"""Connected-components identity clusterer (v1).
Builds a similarity graph over observations (per-IP attacker rows),
runs connected-components over edges that pass a confidence threshold,
and writes one ``attacker_identities`` row per component.
runs union-find over edges that pass a confidence threshold, and writes
one ``attacker_identities`` row per component.
This module is the **skeleton**. The ``tick`` method is a no-op until
the similarity-graph features land in subsequent commits. Subscribers
on ``identity.>`` see no traffic from this clusterer until the edge
functions are wired in.
**v1 signal coverage (this commit):**
Subsequent commits add, in order:
* High-weight tier: JA3 / HASSH / payload-hash / C2-endpoint exact
match (alone enough to cluster). The production tick currently sees
JA3 + HASSH only — payload + C2 require log mining and join in
later commits. The fixture tests exercise the full high-weight set
through the in-memory path.
1. Similarity-graph scaffolding (``impl/similarity.py``).
2. High-weight edges (JA3/JA4/HASSH/payload/C2 exact match).
3. Medium-weight edges (command-sequence Jaccard bucketed by UKC phase).
4. Phase-handoff edges (designed for fixture 5).
5. Low-weight edges (credential Jaccard, ASN) — must NOT cluster F1/F2 alone.
6. Revocable merges (``identity.merged`` / ``identity.unmerged``).
Subsequent commits add medium / low / very-low tier edges, phase-
handoff edges, and revocable merges. Edges MUST stay time-agnostic
— fixture 7 forbids recency-decay clustering.
Edges MUST stay time-agnostic — fixture 7 proves recency-decay clustering
fragments multi-month APT campaigns.
**v1 behavior:**
The clusterer only assigns identities to observations whose
``identity_id`` is currently NULL. Observations already linked to an
identity are read-only this pass (they still participate in graph
edges, so a new observation can join an existing identity, but the
clusterer never reassigns or merges existing identities). Reassignment
+ merging land in commit 10 alongside revocable merges.
"""
from __future__ import annotations
import json
import uuid as _uuid
from datetime import datetime, timezone
from typing import Any, Iterable, Optional
from decnet.clustering.base import Clusterer, ClusterResult
from decnet.clustering.impl.similarity import (
Observation,
high_weight_edge,
)
from decnet.logging import get_logger
from decnet.web.db.repository import BaseRepository
log = get_logger("clustering.connected_components")
class ConnectedComponentsClusterer(Clusterer):
"""Connected-components clusterer.
# Threshold above which an edge survives into the graph. The high-tier
# functions return 1.0 on agreement, so a literal >= 1.0 cutoff means
# "exact match required." Once medium-tier edges combine, this becomes
# a tunable.
_EDGE_THRESHOLD = 1.0
Skeleton implementation: ``tick`` is a no-op. Wiring lands in
subsequent commits.
def cluster_observations(
observations: Iterable[Observation],
) -> dict[str, str]:
"""Run connected-components over the high-weight similarity graph.
Pure: no DB, no clock, no I/O. Both the fixture-validation tests
and the production ``tick`` consume this. The mapping is a
deterministic function of the input set + edge function.
Singletons get a stable per-observation cluster id so callers can
distinguish "isolated observation" from "merged into nothing."
Returns ``{observation_id: cluster_id}``. Cluster ids are opaque
strings — callers must not rely on their format.
"""
obs_list = list(observations)
parent: dict[str, str] = {o.observation_id: o.observation_id for o in obs_list}
def find(x: str) -> str:
while parent[x] != x:
parent[x] = parent[parent[x]]
x = parent[x]
return x
def union(x: str, y: str) -> None:
rx, ry = find(x), find(y)
if rx != ry:
parent[rx] = ry
for i, a in enumerate(obs_list):
for b in obs_list[i + 1:]:
if high_weight_edge(a, b) >= _EDGE_THRESHOLD:
union(a.observation_id, b.observation_id)
# Roots: each unique find(o) is a component representative. Use
# them as the cluster id so two runs over the same input produce
# the same labels (handy for assertions).
return {o.observation_id: f"cc-{find(o.observation_id)}" for o in obs_list}
def from_attacker_row(row: dict[str, Any]) -> Observation:
"""Project an ``Attacker`` row dict into an :class:`Observation`.
Pulls JA3 / HASSH out of the ``Attacker.fingerprints`` JSON list
(one entry per fingerprint event the prober collected). Multiple
JA3s on a single observation are flattened to a single value —
the most-recent — because :class:`Observation` is a single-row
projection; an observation that exhibits two distinct JA3s across
its lifetime is a wire-level oddity that the clusterer treats by
keeping the latest. The identity row itself can store the full
list across observations.
Payload + C2 + commands are left empty — log mining lands in
later commits. The function shape doesn't change when they do.
"""
raw = row.get("fingerprints") or "[]"
try:
entries = json.loads(raw) if isinstance(raw, str) else list(raw)
except (TypeError, ValueError):
entries = []
ja3: Optional[str] = None
hassh: Optional[str] = None
for entry in entries:
if not isinstance(entry, dict):
continue
kind = entry.get("kind")
h = entry.get("hash") or entry.get("value")
if not h:
continue
if kind == "ja3":
ja3 = h
elif kind == "hassh":
hassh = h
return Observation(
observation_id=row["uuid"],
ja3=ja3,
hassh=hassh,
asn=row.get("asn"),
)
class ConnectedComponentsClusterer(Clusterer):
"""Connected-components clusterer over the similarity graph.
See module docstring for v1 signal coverage and behavior notes.
"""
name = "connected_components"
async def tick(self, repo: BaseRepository) -> ClusterResult:
# No similarity edges defined yet; produce an empty result.
# Subsequent commits replace this with the real pass.
try:
rows = await repo.list_attackers_for_clustering()
except Exception: # noqa: BLE001
log.exception("clusterer: failed to read attackers")
return ClusterResult()
if not rows:
return ClusterResult()
__all__ = ["ConnectedComponentsClusterer"]
# Project + cluster.
observations: list[Observation] = []
row_by_id: dict[str, dict[str, Any]] = {}
for r in rows:
obs = from_attacker_row(r)
observations.append(obs)
row_by_id[obs.observation_id] = r
labels = cluster_observations(observations)
# Group by predicted cluster.
components: dict[str, list[str]] = {}
for obs_id, cluster_id in labels.items():
components.setdefault(cluster_id, []).append(obs_id)
result = ClusterResult()
now = datetime.now(timezone.utc)
for member_ids in components.values():
existing_identities = {
row_by_id[m]["identity_id"] for m in member_ids
if row_by_id[m].get("identity_id")
}
unassigned = [
m for m in member_ids
if not row_by_id[m].get("identity_id")
]
if len(existing_identities) > 1:
# Multi-identity component — merging lands in commit 10
# (revocable merges). Skip for now; new observations in
# this component stay unassigned this pass and will get
# assigned once the merge logic exists.
log.debug(
"clusterer: skipping component with %d existing identities "
"(merge lands in commit 10)", len(existing_identities),
)
continue
if not unassigned:
# Component is entirely already-assigned; nothing to do.
continue
if existing_identities:
# Single existing identity → link the unassigned members.
identity_uuid = next(iter(existing_identities))
for obs_id in unassigned:
try:
await repo.set_attacker_identity_id(obs_id, identity_uuid)
except Exception: # noqa: BLE001
log.exception(
"clusterer: failed to link obs=%s -> identity=%s",
obs_id, identity_uuid,
)
continue
result.observations_linked.append({
"identity_uuid": identity_uuid,
"observation_uuid": obs_id,
})
else:
# Fresh component — mint a new identity.
identity_uuid = str(_uuid.uuid4())
try:
await repo.create_attacker_identity({
"uuid": identity_uuid,
"schema_version": 1,
"first_seen_at": now,
"last_seen_at": now,
"created_at": now,
"updated_at": now,
"observation_count": len(member_ids),
})
except Exception: # noqa: BLE001
log.exception(
"clusterer: failed to create identity for component %s",
member_ids,
)
continue
linked: list[str] = []
for obs_id in member_ids:
try:
await repo.set_attacker_identity_id(obs_id, identity_uuid)
except Exception: # noqa: BLE001
log.exception(
"clusterer: failed to link obs=%s -> identity=%s",
obs_id, identity_uuid,
)
continue
linked.append(obs_id)
if linked:
result.identities_formed.append({
"identity_uuid": identity_uuid,
"observation_uuids": linked,
})
return result
__all__ = [
"ConnectedComponentsClusterer",
"cluster_observations",
"from_attacker_row",
]

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@@ -406,6 +406,49 @@ class BaseRepository(ABC):
"""Total ``Attacker`` rows FK'd to this identity."""
pass
# ─── Identity resolution writes (clusterer worker) ─────────────────────
# Populated by ``decnet clusterer``. The read-only API on top of
# ``attacker_identities`` shipped in commit ``dc3d08d``; this is the
# write side. See ``decnet.clustering.impl.connected_components``.
@abstractmethod
async def list_attackers_for_clustering(
self, limit: Optional[int] = None,
) -> list[dict[str, Any]]:
"""Project every ``Attacker`` into the clusterer's input shape.
Returns dicts with at least ``uuid``, ``asn``, ``identity_id``,
and ``fingerprints`` (raw JSON list). The clusterer parses the
fingerprints list to recover JA3 / HASSH per observation. Empty
list when no attackers exist.
``limit`` is optional — passed by callers that want to bound a
single tick's working set; leave ``None`` to fetch all.
"""
pass
@abstractmethod
async def create_attacker_identity(self, row: dict[str, Any]) -> str:
"""Insert a new ``AttackerIdentity`` row and return its uuid.
``row`` must include ``uuid``; other fields are optional and
default per the model. Caller is responsible for generating
the uuid (so it can be used in the same tick to back-link
observations without a second round-trip).
"""
pass
@abstractmethod
async def set_attacker_identity_id(
self, attacker_uuid: str, identity_uuid: str,
) -> None:
"""Set ``attackers.identity_id`` on a single observation row.
Idempotent — re-setting the same value is a no-op. Used by
the clusterer when it links an observation to an identity.
"""
pass
@abstractmethod
async def get_attacker_commands(
self,

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@@ -1468,6 +1468,52 @@ class SQLModelRepository(BaseRepository):
result = await session.execute(statement)
return result.scalar() or 0
# ─── Identity resolution writes (clusterer worker) ─────────────────────
async def list_attackers_for_clustering(
self, limit: Optional[int] = None,
) -> list[dict[str, Any]]:
# Project the columns the clusterer's similarity graph reads.
# Keep it narrow so future denormalised projections (payloads
# joined from logs, c2 endpoints aggregated from sessions) can
# land here without churning every caller. ``fingerprints`` is
# the raw JSON list — the clusterer parses for JA3 / HASSH.
statement = select(
Attacker.uuid, Attacker.asn, Attacker.identity_id, Attacker.fingerprints,
).order_by(Attacker.first_seen)
if limit is not None:
statement = statement.limit(limit)
async with self._session() as session:
result = await session.execute(statement)
return [
{
"uuid": row.uuid,
"asn": row.asn,
"identity_id": row.identity_id,
"fingerprints": row.fingerprints,
}
for row in result.all()
]
async def create_attacker_identity(self, row: dict[str, Any]) -> str:
identity = AttackerIdentity(**row)
async with self._session() as session:
session.add(identity)
await session.commit()
return identity.uuid
async def set_attacker_identity_id(
self, attacker_uuid: str, identity_uuid: str,
) -> None:
statement = (
update(Attacker)
.where(Attacker.uuid == attacker_uuid)
.values(identity_id=identity_uuid)
)
async with self._session() as session:
await session.execute(statement)
await session.commit()
async def get_attacker_commands(
self,
uuid: str,

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@@ -0,0 +1,304 @@
"""Tests for the connected-components clusterer (commit 4 — high-weight edges).
Covers, in order:
* The pure ``cluster_observations`` algorithm — singletons stay
isolated, exact-match high-weight signals fold them together,
un-fingerprinted observations stay un-mergeable.
* The production-row adapter ``from_attacker_row`` — JA3 / HASSH
recovered from the fingerprints JSON; absent fields project to
``None``.
* End-to-end ``tick`` against a real SQLite repo: seeded attackers
with shared / divergent fingerprints get the right identity rows
written and the right ``identity_id`` links set.
* Three fixture-bound assertions: lone_wolf (pure singletons),
shared_wordlist (no fingerprint signal — singletons), and
vpn_hopping at identity-level (one identity from 5 rotated IPs
via shared JA3 + HASSH).
The tick is bus-free here — the worker shell tests cover bus fan-out
separately. We're validating the algorithm + DB writes here.
"""
from __future__ import annotations
import json
from datetime import datetime, timezone
from pathlib import Path
import pytest
from decnet.clustering.impl.connected_components import (
ConnectedComponentsClusterer,
cluster_observations,
from_attacker_row,
)
from decnet.clustering.impl.similarity import Observation, from_synthetic
from decnet.web.db.factory import get_repository
FIXTURE_DIR = Path(__file__).parent.parent / "fixtures" / "campaigns"
# ─── pure algorithm ─────────────────────────────────────────────────────────
def _obs(obs_id: str, **kwargs) -> Observation:
return Observation(observation_id=obs_id, **kwargs)
def test_cluster_observations_singletons_stay_isolated():
a = _obs("a", ja3="ja3-a")
b = _obs("b", ja3="ja3-b")
c = _obs("c") # no fingerprint
labels = cluster_observations([a, b, c])
assert labels["a"] != labels["b"]
assert labels["b"] != labels["c"]
assert labels["a"] != labels["c"]
def test_cluster_observations_ja3_match_unions():
a = _obs("a", ja3="ja3-shared")
b = _obs("b", ja3="ja3-shared")
c = _obs("c", ja3="ja3-other")
labels = cluster_observations([a, b, c])
assert labels["a"] == labels["b"]
assert labels["a"] != labels["c"]
def test_cluster_observations_unfingerprinted_stay_separate():
"""Two observations with no signals must NOT collapse into one
cluster — that would fuse every noise scanner together."""
a = _obs("a")
b = _obs("b")
labels = cluster_observations([a, b])
assert labels["a"] != labels["b"]
def test_cluster_observations_transitive_via_payload():
"""A↔B via JA3, B↔C via payload → A, B, C all in one component."""
a = _obs("a", ja3="ja3-x")
b = _obs("b", ja3="ja3-x", payload_hashes=frozenset({"pl-1"}))
c = _obs("c", payload_hashes=frozenset({"pl-1"}))
labels = cluster_observations([a, b, c])
assert labels["a"] == labels["b"] == labels["c"]
def test_cluster_observations_empty_input():
assert cluster_observations([]) == {}
def test_cluster_observations_deterministic():
"""Same input → same labels. Load-bearing for fixture stability."""
obs = [_obs("a", ja3="x"), _obs("b", ja3="x"), _obs("c")]
assert cluster_observations(obs) == cluster_observations(obs)
# ─── production-row adapter ────────────────────────────────────────────────
def test_from_attacker_row_extracts_ja3_and_hassh():
row = {
"uuid": "att-1",
"asn": 64500,
"identity_id": None,
"fingerprints": json.dumps([
{"kind": "ja3", "hash": "ja3-abc"},
{"kind": "hassh", "hash": "hassh-def"},
{"kind": "jarm", "hash": "jarm-ghi"}, # not used in v1
]),
}
obs = from_attacker_row(row)
assert obs.observation_id == "att-1"
assert obs.ja3 == "ja3-abc"
assert obs.hassh == "hassh-def"
assert obs.asn == 64500
def test_from_attacker_row_handles_empty_fingerprints():
row = {"uuid": "att-2", "asn": None, "identity_id": None, "fingerprints": "[]"}
obs = from_attacker_row(row)
assert obs.ja3 is None
assert obs.hassh is None
assert obs.asn is None
def test_from_attacker_row_handles_malformed_json():
row = {"uuid": "att-3", "asn": None, "identity_id": None, "fingerprints": "not json"}
obs = from_attacker_row(row)
assert obs.ja3 is None
assert obs.hassh is None
# ─── end-to-end tick against SQLite ────────────────────────────────────────
@pytest.fixture
async def repo(tmp_path):
r = get_repository(db_path=str(tmp_path / "clusterer.db"))
await r.initialize()
return r
async def _seed_attacker(
repo, ip: str, *,
ja3: str | None = None, hassh: str | None = None, asn: int | None = None,
) -> str:
now = datetime.now(timezone.utc)
fingerprints = []
if ja3:
fingerprints.append({"kind": "ja3", "hash": ja3})
if hassh:
fingerprints.append({"kind": "hassh", "hash": hassh})
return await repo.upsert_attacker({
"ip": ip,
"first_seen": now,
"last_seen": now,
"event_count": 1,
"asn": asn,
"fingerprints": json.dumps(fingerprints),
})
@pytest.mark.anyio
async def test_tick_on_empty_db_is_noop(repo):
c = ConnectedComponentsClusterer()
result = await c.tick(repo)
assert result.identities_formed == []
assert result.observations_linked == []
@pytest.mark.anyio
async def test_tick_clusters_shared_ja3(repo):
"""Two observations with the same JA3 → one identity row, both linked."""
a = await _seed_attacker(repo, "1.1.1.1", ja3="ja3-x", asn=64500)
b = await _seed_attacker(repo, "2.2.2.2", ja3="ja3-x", asn=64501)
c = ConnectedComponentsClusterer()
result = await c.tick(repo)
assert len(result.identities_formed) == 1
formed = result.identities_formed[0]
assert set(formed["observation_uuids"]) == {a, b}
# Identity row exists and both attackers FK to it.
identity_uuid = formed["identity_uuid"]
identity = await repo.get_identity_by_uuid(identity_uuid)
assert identity is not None
assert identity["uuid"] == identity_uuid
obs_for_id = await repo.list_observations_for_identity(identity_uuid)
obs_uuids = {o["uuid"] for o in obs_for_id}
assert obs_uuids == {a, b}
@pytest.mark.anyio
async def test_tick_keeps_distinct_ja3_separate(repo):
"""Two divergent JA3s with no other shared signal → two singletons,
no identity rows written (singletons stay un-clustered in v1)."""
await _seed_attacker(repo, "1.1.1.1", ja3="ja3-a")
await _seed_attacker(repo, "2.2.2.2", ja3="ja3-b")
c = ConnectedComponentsClusterer()
result = await c.tick(repo)
# Singletons get identity rows of their own (one observation per cluster).
assert len(result.identities_formed) == 2
for formed in result.identities_formed:
assert len(formed["observation_uuids"]) == 1
@pytest.mark.anyio
async def test_tick_links_new_observation_to_existing_identity(repo):
"""First tick: 2 attackers cluster into one identity. Second tick:
a new attacker with the same JA3 should get linked, not minted."""
a = await _seed_attacker(repo, "1.1.1.1", ja3="ja3-x")
b = await _seed_attacker(repo, "2.2.2.2", ja3="ja3-x")
c = ConnectedComponentsClusterer()
first = await c.tick(repo)
assert len(first.identities_formed) == 1
identity_uuid = first.identities_formed[0]["identity_uuid"]
# New observation arrives; same JA3.
d = await _seed_attacker(repo, "3.3.3.3", ja3="ja3-x")
second = await c.tick(repo)
# No new identity should be formed for the existing component;
# observation-linked should fire for the new one.
formed_uuids = {f["identity_uuid"] for f in second.identities_formed}
assert identity_uuid not in formed_uuids, (
"second tick must link to the existing identity, not mint a new one"
)
linked_uuids = {l_["observation_uuid"] for l_ in second.observations_linked}
assert d in linked_uuids
# ─── fixture-bound assertions (in-memory) ──────────────────────────────────
def _production_clusterer_predict(corpus) -> dict[str, str]:
"""Run the production cluster_observations over a corpus.
Mirrors the reference clusterer signature (corpus → dict) so it can
be passed to ``assert_fixture_bounds``. Pure / in-memory — does NOT
touch the DB. The DB-side path is covered by the tick tests above.
"""
obs = [from_synthetic(att) for att in corpus.attackers]
labels = cluster_observations(obs)
# Singletons (no shared signal) get unique cluster ids so the
# metrics see them as distinct classes — matches the
# fingerprint_clusterer reference shape on lone_wolf / shared_wordlist.
pred: dict[str, str] = {}
cluster_sizes: dict[str, int] = {}
for cid in labels.values():
cluster_sizes[cid] = cluster_sizes.get(cid, 0) + 1
for obs_id, cid in labels.items():
if cluster_sizes[cid] == 1:
pred[obs_id] = f"cc-singleton-{obs_id}"
else:
pred[obs_id] = cid
return pred
def test_lone_wolf_passes_with_production_clusterer():
"""Fixture 3: every actor singleton. The production clusterer
keeps them all separate (no shared high-weight signal)."""
from tests.clustering.fixture_harness import assert_fixture_bounds
from tests.factories.campaign_factory import generate, load_yaml
corpus = generate(load_yaml(FIXTURE_DIR / "lone_wolf.yaml"), seed=0)
assert_fixture_bounds(
corpus, _production_clusterer_predict,
FIXTURE_DIR / "lone_wolf.expected.yaml",
)
def test_shared_wordlist_passes_with_production_clusterer():
"""Fixture 1: two campaigns sharing only credentials, divergent
infra. The production clusterer (high-weight edges only) keeps
them separate — credential overlap is not a v1 signal yet."""
from tests.clustering.fixture_harness import assert_fixture_bounds
from tests.factories.campaign_factory import generate, load_yaml
corpus = generate(load_yaml(FIXTURE_DIR / "shared_wordlist.yaml"), seed=0)
assert_fixture_bounds(
corpus, _production_clusterer_predict,
FIXTURE_DIR / "shared_wordlist.expected.yaml",
)
def test_vpn_hopping_passes_at_identity_level_with_production_clusterer():
"""Fixture 2: one rotating actor with stable JA3 + HASSH across
5 ASNs. The production clusterer must fold all 5 observations into
one identity (high-weight JA3 / HASSH agreement)."""
from tests.clustering.fixture_harness import assert_fixture_bounds
from tests.factories.campaign_factory import generate, load_yaml
corpus = generate(load_yaml(FIXTURE_DIR / "vpn_hopping.yaml"), seed=0)
metrics = assert_fixture_bounds(
corpus, _production_clusterer_predict,
FIXTURE_DIR / "vpn_hopping.expected.yaml",
truth_level="identity",
)
assert metrics["adjusted_rand_index"] == pytest.approx(1.0)
assert metrics["completeness"] == pytest.approx(1.0)

View File

@@ -66,6 +66,9 @@ class DummyRepo(BaseRepository):
async def count_identities(self): await super().count_identities(); return 0
async def list_observations_for_identity(self, u, limit=50, offset=0): await super().list_observations_for_identity(u, limit, offset); return []
async def count_observations_for_identity(self, u): await super().count_observations_for_identity(u); return 0
async def list_attackers_for_clustering(self, limit=None): await super().list_attackers_for_clustering(limit); return []
async def create_attacker_identity(self, row): await super().create_attacker_identity(row); return ""
async def set_attacker_identity_id(self, a, i): await super().set_attacker_identity_id(a, i)
@pytest.mark.asyncio
async def test_base_repo_coverage():
@@ -133,6 +136,9 @@ async def test_base_repo_coverage():
await dr.count_identities()
await dr.list_observations_for_identity("a")
await dr.count_observations_for_identity("a")
await dr.list_attackers_for_clustering()
await dr.create_attacker_identity({"uuid": "i"})
await dr.set_attacker_identity_id("a", "i")
# Swarm methods: default NotImplementedError on BaseRepository. Covering
# them here keeps the coverage contract honest for the swarm CRUD surface.