first commit

atlas_rag/kg_construction/neo4j/utils.py

@@ -0,0 +1,73 @@
+import faiss
+from neo4j import Driver
+import time
+from graphdatascience import GraphDataScience
+from atlas_rag.retriever.lkg_retriever.base import BaseLargeKGRetriever
+
+def build_projection_graph(driver: GraphDataScience):
+    project_graph_1 = "largekgrag_graph"
+    is_project_graph_1_exist = False
+    # is_project_graph_2_exist = False
+    result = driver.graph.list()
+    for index, row in result.iterrows():
+        if row['graphName'] == project_graph_1:
+            is_project_graph_1_exist = True
+        # if row['graphName'] == project_graph_2:
+        #     is_project_graph_2_exist = True
+    
+    if not is_project_graph_1_exist:
+        start_time = time.time()
+        node_properties = ["Node"]
+        relation_projection = [ "Relation"]
+        result = driver.graph.project(
+            project_graph_1,
+            node_properties,
+            relation_projection
+        )
+        graph = driver.graph.get(project_graph_1)
+        print(f"Projection graph {project_graph_1} created in {time.time() - start_time:.2f} seconds")
+
+def build_neo4j_label_index(driver: GraphDataScience):
+    with driver.session() as session:
+        index_name = f"NodeNumericIDIndex"
+        # Check if the index already exists
+        existing_indexes = session.run("SHOW INDEXES").data()
+        index_exists = any(index['name'] == index_name for index in existing_indexes)
+        # Drop the index if it exists
+        if not index_exists:
+            start_time = time.time()
+            session.run(f"CREATE INDEX {index_name} FOR (n:Node) ON (n.numeric_id)")
+            print(f"Index {index_name} created in {time.time() - start_time:.2f} seconds")
+            
+        index_name = f"TextNumericIDIndex"
+        index_exists = any(index['name'] == index_name for index in existing_indexes)
+        if not index_exists:
+            start_time = time.time()
+            session.run(f"CREATE INDEX {index_name} FOR (t:Text) ON (t.numeric_id)")
+            print(f"Index {index_name} created in {time.time() - start_time:.2f} seconds")
+        
+        index_name = f"EntityEventEdgeNumericIDIndex"
+        index_exists = any(index['name'] == index_name for index in existing_indexes)
+        if not index_exists:
+            start_time = time.time()
+            session.run(f"CREATE INDEX {index_name} FOR ()-[r:Relation]-() on (r.numeric_id)")
+            print(f"Index {index_name} created in {time.time() - start_time:.2f} seconds")
+
+def load_indexes(path_dict):
+    for key, value in path_dict.items():
+        if key == 'node':
+            node_index = faiss.read_index(value, faiss.IO_FLAG_MMAP)
+            print(f"Node index loaded from {value}")
+        elif key == 'edge':
+            edge_index = faiss.read_index(value, faiss.IO_FLAG_MMAP)
+            print(f"Edge index loaded from {value}")
+        elif key == 'text':
+            passage_index = faiss.read_index(value, faiss.IO_FLAG_MMAP)
+            print(f"Passage index loaded from {value}")
+    return node_index, edge_index, passage_index
+
+def start_up_large_kg_index_graph(neo4j_driver: Driver)->BaseLargeKGRetriever:    
+    gds_driver = GraphDataScience(neo4j_driver)
+    # build label index and projection graph
+    build_neo4j_label_index(neo4j_driver)
+    build_projection_graph(gds_driver)