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Tests for KnowledgeGraph, Entity, and Relation.
"""
import sys
import os
import json
sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import pytest
from omni_memory.knowledge.knowledge_graph import KnowledgeGraph, Entity, Relation
# ---------------------------------------------------------------------------
# Entity dataclass
# ---------------------------------------------------------------------------
class TestEntity:
def test_default_fields(self):
ent = Entity(name="Test")
assert ent.name == "Test"
assert ent.entity_type == "CONCEPT"
assert ent.mention_count == 1
assert ent.aliases == []
assert ent.attributes == {}
def test_to_dict_roundtrip(self):
ent = Entity(name="Alice", entity_type="PERSON", attributes={"role": "engineer"})
d = ent.to_dict()
restored = Entity.from_dict(d)
assert restored.name == "Alice"
assert restored.entity_type == "PERSON"
assert restored.attributes["role"] == "engineer"
def test_merge_combines_sources(self):
e1 = Entity(name="Alice", source_mau_ids=["m1"])
e2 = Entity(name="Alice", source_mau_ids=["m2"])
e1.merge(e2)
assert "m1" in e1.source_mau_ids
assert "m2" in e1.source_mau_ids
assert e1.mention_count == 2
def test_merge_adds_aliases(self):
e1 = Entity(name="Bob")
e2 = Entity(name="Robert", aliases=["Bobby"])
e1.merge(e2)
assert "Robert" in e1.aliases
assert "Bobby" in e1.aliases
def test_merge_combines_attributes(self):
e1 = Entity(name="X", attributes={"a": 1})
e2 = Entity(name="X", attributes={"b": 2})
e1.merge(e2)
assert e1.attributes == {"a": 1, "b": 2}
# ---------------------------------------------------------------------------
# Relation dataclass
# ---------------------------------------------------------------------------
class TestRelation:
def test_default_fields(self):
rel = Relation(subject_id="s1", predicate="knows", object_id="o1")
assert rel.subject_id == "s1"
assert rel.predicate == "knows"
assert rel.object_id == "o1"
assert rel.confidence == 1.0
def test_get_triple(self):
rel = Relation(subject_id="s1", predicate="works_at", object_id="o1")
assert rel.get_triple() == ("s1", "works_at", "o1")
def test_to_dict_roundtrip(self):
rel = Relation(subject_id="s1", predicate="likes", object_id="o1", confidence=0.9)
d = rel.to_dict()
restored = Relation.from_dict(d)
assert restored.predicate == "likes"
assert restored.confidence == 0.9
# ---------------------------------------------------------------------------
# KnowledgeGraph
# ---------------------------------------------------------------------------
class TestKnowledgeGraph:
@pytest.fixture
def graph(self, tmp_path):
return KnowledgeGraph(storage_path=str(tmp_path / "kg"))
def test_add_and_get_entity(self, graph):
ent = Entity(name="Alice", entity_type="PERSON")
eid = graph.add_entity(ent)
retrieved = graph.get_entity(eid)
assert retrieved is not None
assert retrieved.name == "Alice"
def test_add_duplicate_entity_merges(self, graph):
e1 = Entity(name="Alice", entity_type="PERSON", source_mau_ids=["m1"])
e2 = Entity(name="Alice", entity_type="PERSON", source_mau_ids=["m2"])
id1 = graph.add_entity(e1)
id2 = graph.add_entity(e2)
assert id1 == id2
merged = graph.get_entity(id1)
assert "m1" in merged.source_mau_ids
assert "m2" in merged.source_mau_ids
assert merged.mention_count == 2
def test_get_entity_by_name_case_insensitive(self, graph):
ent = Entity(name="Alice")
graph.add_entity(ent)
assert graph.get_entity_by_name("alice") is not None
assert graph.get_entity_by_name("ALICE") is not None
assert graph.get_entity_by_name("nonexistent") is None
def test_get_entities_by_type(self, graph):
graph.add_entity(Entity(name="Alice", entity_type="PERSON"))
graph.add_entity(Entity(name="Bob", entity_type="PERSON"))
graph.add_entity(Entity(name="Paris", entity_type="LOCATION"))
persons = graph.get_entities_by_type("PERSON")
assert len(persons) == 2
locations = graph.get_entities_by_type("LOCATION")
assert len(locations) == 1
def test_get_entities_by_mau(self, graph):
graph.add_entity(Entity(name="Alice", source_mau_ids=["m1"]))
graph.add_entity(Entity(name="Bob", source_mau_ids=["m1", "m2"]))
graph.add_entity(Entity(name="Carol", source_mau_ids=["m2"]))
m1_entities = graph.get_entities_by_mau("m1")
names = {e.name for e in m1_entities}
assert "Alice" in names
assert "Bob" in names
assert "Carol" not in names
def test_add_and_get_relation(self, graph):
e1 = Entity(name="Alice", entity_type="PERSON")
e2 = Entity(name="Acme Corp", entity_type="ORGANIZATION")
id1 = graph.add_entity(e1)
id2 = graph.add_entity(e2)
rel = Relation(subject_id=id1, predicate="works_at", object_id=id2)
rid = graph.add_relation(rel)
retrieved = graph.get_relation(rid)
assert retrieved is not None
assert retrieved.predicate == "works_at"
def test_duplicate_relation_increments_count(self, graph):
e1 = Entity(name="A")
e2 = Entity(name="B")
id1 = graph.add_entity(e1)
id2 = graph.add_entity(e2)
r1 = Relation(subject_id=id1, predicate="knows", object_id=id2)
r2 = Relation(subject_id=id1, predicate="knows", object_id=id2)
rid1 = graph.add_relation(r1)
rid2 = graph.add_relation(r2)
assert rid1 == rid2
rel = graph.get_relation(rid1)
assert rel.mention_count == 2
def test_get_relations_for_entity(self, graph):
e1 = Entity(name="A")
e2 = Entity(name="B")
e3 = Entity(name="C")
id1 = graph.add_entity(e1)
id2 = graph.add_entity(e2)
id3 = graph.add_entity(e3)
graph.add_relation(Relation(subject_id=id1, predicate="knows", object_id=id2))
graph.add_relation(Relation(subject_id=id3, predicate="likes", object_id=id1))
# Both directions
rels = graph.get_relations_for_entity(id1, direction="both")
assert len(rels) == 2
# Outgoing only
out = graph.get_relations_for_entity(id1, direction="outgoing")
assert len(out) == 1
assert out[0].predicate == "knows"
# Incoming only
inc = graph.get_relations_for_entity(id1, direction="incoming")
assert len(inc) == 1
assert inc[0].predicate == "likes"
def test_search_entities_by_name(self, graph):
graph.add_entity(Entity(name="Albert Einstein", entity_type="PERSON"))
graph.add_entity(Entity(name="Albert Camus", entity_type="PERSON"))
graph.add_entity(Entity(name="Marie Curie", entity_type="PERSON"))
results = graph.search_entities("Albert")
assert len(results) == 2
names = {e.name for e in results}
assert "Albert Einstein" in names
assert "Albert Camus" in names
def test_search_entities_by_type_filter(self, graph):
graph.add_entity(Entity(name="Albert Einstein", entity_type="PERSON"))
graph.add_entity(Entity(name="Albert Hall", entity_type="LOCATION"))
results = graph.search_entities("Albert", entity_types=["PERSON"])
assert len(results) == 1
assert results[0].entity_type == "PERSON"
def test_search_entities_by_alias(self, graph):
ent = Entity(name="Robert", aliases=["Bob", "Bobby"])
graph.add_entity(ent)
results = graph.search_entities("Bob")
assert len(results) == 1
assert results[0].name == "Robert"
def test_count(self, graph):
assert graph.count_entities() == 0
assert graph.count_relations() == 0
e1 = Entity(name="A")
e2 = Entity(name="B")
id1 = graph.add_entity(e1)
id2 = graph.add_entity(e2)
assert graph.count_entities() == 2
graph.add_relation(Relation(subject_id=id1, predicate="rel", object_id=id2))
assert graph.count_relations() == 1
def test_get_stats(self, graph):
graph.add_entity(Entity(name="A", entity_type="PERSON"))
graph.add_entity(Entity(name="B", entity_type="LOCATION"))
stats = graph.get_stats()
assert stats["total_entities"] == 2
assert "PERSON" in stats["entity_types"]
def test_clear(self, graph):
graph.add_entity(Entity(name="X"))
graph.clear()
assert graph.count_entities() == 0
def test_get_neighbors(self, graph):
e1 = Entity(name="A")
e2 = Entity(name="B")
e3 = Entity(name="C")
id1 = graph.add_entity(e1)
id2 = graph.add_entity(e2)
id3 = graph.add_entity(e3)
graph.add_relation(Relation(subject_id=id1, predicate="knows", object_id=id2))
graph.add_relation(Relation(subject_id=id2, predicate="knows", object_id=id3))
neighbors = graph.get_neighbors(id1, max_hops=1)
assert id2 in neighbors
assert id3 not in neighbors
neighbors_2hop = graph.get_neighbors(id1, max_hops=2)
assert id2 in neighbors_2hop
assert id3 in neighbors_2hop
def test_save_and_reload(self, tmp_path):
path = str(tmp_path / "kg_persist")
g1 = KnowledgeGraph(storage_path=path)
e1 = Entity(name="Alice", entity_type="PERSON")
e2 = Entity(name="Bob", entity_type="PERSON")
id1 = g1.add_entity(e1)
id2 = g1.add_entity(e2)
g1.add_relation(Relation(subject_id=id1, predicate="knows", object_id=id2))
g1.save()
# Reload
g2 = KnowledgeGraph(storage_path=path)
assert g2.count_entities() == 2
assert g2.count_relations() == 1
assert g2.get_entity_by_name("alice") is not None
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