feat(core): cluster data-access — attention sort, neighbors, split/merge, writeback log
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from photoflow.core import Store
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from photoflow.core.models import Asset, Cluster, ClusterMember
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def _seed(tmp_path):
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s = Store(str(tmp_path / "t.db")).connect()
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for i, t in [("a", "2019-06-01"), ("b", "2019-06-02"), ("c", "2019-06-03"),
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("d", "2019-07-01"), ("e", "2019-07-02")]:
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s.upsert_asset(Asset(immich_id=i, taken_at=t))
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return s
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def _members(ids):
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return [ClusterMember(cluster_id=0, immich_id=i) for i in ids]
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def test_insert_and_members_ordered(tmp_path):
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s = _seed(tmp_path)
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cid = s.insert_cluster(Cluster(start_at="2019-06-01", end_at="2019-06-03",
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count=3, suggested_name="Trip 1", confidence=0.9),
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_members(["c", "a", "b"]))
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pairs = s.cluster_members(cid)
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assert [a.immich_id for a, m in pairs] == ["a", "b", "c"]
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assert s.get_cluster(cid).suggested_name == "Trip 1"
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s.close()
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def test_attention_sort(tmp_path):
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s = _seed(tmp_path)
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s.insert_cluster(Cluster(start_at="2019-06-01", end_at="2019-06-10",
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confidence=0.9, status="pending"), _members(["a"]))
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low = s.insert_cluster(Cluster(start_at="2019-07-01", end_at="2019-07-02",
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confidence=0.2, status="pending"), _members(["d"]))
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s.insert_cluster(Cluster(start_at="2019-06-02", end_at="2019-06-03",
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confidence=0.1, status="approved"), _members(["b"]))
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order = [c.id for c in s.clusters_by_attention()]
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assert order[0] == low # lowest-confidence pending first
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assert order[-1] != low # approved sinks to the bottom
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s.close()
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def test_chronological_neighbors(tmp_path):
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s = _seed(tmp_path)
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c1 = s.insert_cluster(Cluster(start_at="2019-06-01", end_at="2019-06-03"), _members(["a"]))
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c2 = s.insert_cluster(Cluster(start_at="2019-07-01", end_at="2019-07-02"), _members(["d"]))
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assert s.chronological_neighbors(c1) == (None, c2)
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assert s.chronological_neighbors(c2) == (c1, None)
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s.close()
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def test_update_and_member_inclusion(tmp_path):
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s = _seed(tmp_path)
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cid = s.insert_cluster(Cluster(start_at="2019-06-01", end_at="2019-06-03"),
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_members(["a", "b"]))
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s.update_cluster(cid, status="approved", decided_name="Venice", reviewed_at="now")
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c = s.get_cluster(cid)
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assert c.status == "approved" and c.decided_name == "Venice"
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s.set_member_inclusion(cid, "b", False)
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inc = {m.immich_id: m.included for _, m in s.cluster_members(cid)}
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assert inc == {"a": True, "b": False}
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s.close()
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def test_split_cluster(tmp_path):
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s = _seed(tmp_path)
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cid = s.insert_cluster(Cluster(start_at="2019-06-01", end_at="2019-06-03",
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suggested_name="Trip"), _members(["a", "b", "c"]))
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id1, id2 = s.split_cluster(cid, "c") # boundary "c" begins the second cluster
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assert s.get_cluster(cid).status == "split"
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left = [a.immich_id for a, _ in s.cluster_members(id1)]
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right = [a.immich_id for a, _ in s.cluster_members(id2)]
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assert left == ["a", "b"] and right == ["c"]
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assert s.get_cluster(id1).status == "pending"
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s.close()
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def test_merge_clusters(tmp_path):
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s = _seed(tmp_path)
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a = s.insert_cluster(Cluster(start_at="2019-06-01", end_at="2019-06-03",
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suggested_name="A"), _members(["a", "b"]))
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b = s.insert_cluster(Cluster(start_at="2019-07-01", end_at="2019-07-02",
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suggested_name="B"), _members(["d", "e"]))
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new = s.merge_clusters(a, b)
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assert s.get_cluster(a).status == "merged" and s.get_cluster(b).status == "merged"
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ids = [x.immich_id for x, _ in s.cluster_members(new)]
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assert ids == ["a", "b", "d", "e"]
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c = s.get_cluster(new)
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assert c.start_at == "2019-06-01" and c.end_at == "2019-07-02" and c.status == "pending"
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s.close()
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def test_writeback_log_idempotency(tmp_path):
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s = _seed(tmp_path)
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assert s.already_applied("a", "trip", "Venice") is False
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s.log_writeback("a", "trip", "Venice", "ok")
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assert s.already_applied("a", "trip", "Venice") is True
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s.log_writeback("b", "trip", "Venice", "error:boom")
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assert s.already_applied("b", "trip", "Venice") is False # only ok counts
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s.close()
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