Skip to main content
Glama
test_graph_models.py1.87 kB
from cortexgraph.storage.models import ( GraphData, GraphEdge, GraphFilter, GraphNode, MemoryStatus, ) def test_graph_node_creation(): node = GraphNode( id="mem-1", label="Test Memory", tags=["test"], entities=["Entity1"], status=MemoryStatus.ACTIVE, decay_score=0.8, use_count=5, created_at=1000, last_used=2000, ) assert node.id == "mem-1" assert node.label == "Test Memory" assert node.status == MemoryStatus.ACTIVE assert node.decay_score == 0.8 def test_graph_edge_creation(): edge = GraphEdge( id="rel-1", source="mem-1", target="mem-2", relation_type="causes", strength=1.5, ) assert edge.id == "rel-1" assert edge.source == "mem-1" assert edge.target == "mem-2" assert edge.relation_type == "causes" assert edge.strength == 1.5 assert edge.directed is True def test_graph_data_creation(): node = GraphNode( id="mem-1", label="Test", tags=[], entities=[], status=MemoryStatus.ACTIVE, decay_score=1.0, use_count=1, created_at=1000, last_used=1000, ) edge = GraphEdge( id="rel-1", source="mem-1", target="mem-2", relation_type="related", strength=1.0, ) data = GraphData( nodes=[node], edges=[edge], total_memories=1, total_relations=1, query_time_ms=10.5, ) assert len(data.nodes) == 1 assert len(data.edges) == 1 assert data.total_memories == 1 assert data.query_time_ms == 10.5 def test_graph_filter_defaults(): filters = GraphFilter() assert filters.min_decay_score == 0.0 assert filters.limit == 1000 assert filters.offset == 0 assert filters.tags is None

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/prefrontalsys/mnemex'

If you have feedback or need assistance with the MCP directory API, please join our Discord server