Add is_truncated to graph query for Neo4j
This commit is contained in:
yangdx
@@ -658,7 +658,8 @@ class Neo4JStorage(BaseGraphStorage):
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max_nodes: Maxiumu nodes to return by BFS, Defaults to 1000
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Returns:
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KnowledgeGraph object containing nodes and edges
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KnowledgeGraph object containing nodes and edges, with an is_truncated flag
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indicating whether the graph was truncated due to max_nodes limit
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"""
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result = KnowledgeGraph()
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seen_nodes = set()
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@@ -669,6 +670,23 @@ class Neo4JStorage(BaseGraphStorage):
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) as session:
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try:
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if node_label == "*":
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# First check total node count to determine if graph is truncated
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count_query = "MATCH (n) RETURN count(n) as total"
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count_result = None
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try:
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count_result = await session.run(count_query)
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count_record = await count_result.single()
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if count_record and count_record["total"] > max_nodes:
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result.is_truncated = True
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logger.info(
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f"Graph truncated: {count_record['total']} nodes found, limited to {max_nodes}"
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)
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finally:
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if count_result:
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await count_result.consume()
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# Run main query to get nodes with highest degree
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main_query = """
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MATCH (n)
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OPTIONAL MATCH (n)-[r]-()
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@@ -683,14 +701,71 @@ class Neo4JStorage(BaseGraphStorage):
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RETURN filtered_nodes AS node_info,
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collect(DISTINCT r) AS relationships
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"""
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result_set = None
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try:
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result_set = await session.run(
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main_query,
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{"max_nodes": max_nodes},
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)
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record = await result_set.single()
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finally:
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if result_set:
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await result_set.consume()
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else:
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# Main query uses partial matching
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main_query = """
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# First try without limit to check if we need to truncate
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full_query = """
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MATCH (start)
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WHERE start.entity_id = $entity_id
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WITH start
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CALL apoc.path.subgraphAll(start, {
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relationshipFilter: '',
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minLevel: 0,
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maxLevel: $max_depth,
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bfs: true
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})
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YIELD nodes, relationships
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WITH nodes, relationships, size(nodes) AS total_nodes
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UNWIND nodes AS node
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WITH collect({node: node}) AS node_info, relationships, total_nodes
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RETURN node_info, relationships, total_nodes
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"""
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# Try to get full result
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full_result = None
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try:
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full_result = await session.run(
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full_query,
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{
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"entity_id": node_label,
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"max_depth": max_depth,
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},
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)
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full_record = await full_result.single()
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# If no record found, return empty KnowledgeGraph
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if not full_record:
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logger.debug(f"No nodes found for entity_id: {node_label}")
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return result
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# If record found, check node count
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total_nodes = full_record["total_nodes"]
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if total_nodes <= max_nodes:
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# If node count is within limit, use full result directly
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logger.debug(
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f"Using full result with {total_nodes} nodes (no truncation needed)"
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)
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record = full_record
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else:
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# If node count exceeds limit, set truncated flag and run limited query
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result.is_truncated = True
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logger.info(
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f"Graph truncated: {total_nodes} nodes found, breadth-first search limited to {max_nodes}"
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)
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# Run limited query
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limited_query = """
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MATCH (start)
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WHERE start.entity_id = $entity_id
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WITH start
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@@ -706,17 +781,23 @@ class Neo4JStorage(BaseGraphStorage):
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WITH collect({node: node}) AS node_info, relationships
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RETURN node_info, relationships
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"""
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result_set = None
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try:
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result_set = await session.run(
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main_query,
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limited_query,
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{
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"entity_id": node_label,
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"max_depth": max_depth,
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"max_nodes": max_nodes,
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},
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)
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try:
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record = await result_set.single()
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finally:
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if result_set:
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await result_set.consume()
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finally:
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if full_result:
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await full_result.consume()
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if record:
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# Handle nodes (compatible with multi-label cases)
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@@ -753,8 +834,6 @@ class Neo4JStorage(BaseGraphStorage):
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logger.info(
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f"Process {os.getpid()} graph query return: {len(result.nodes)} nodes, {len(result.edges)} edges"
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)
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finally:
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await result_set.consume() # Ensure result set is consumed
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except neo4jExceptions.ClientError as e:
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logger.warning(f"APOC plugin error: {str(e)}")
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@@ -763,6 +842,10 @@ class Neo4JStorage(BaseGraphStorage):
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"Neo4j: falling back to basic Cypher recursive search..."
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)
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return await self._robust_fallback(node_label, max_depth, max_nodes)
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else:
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logger.warning(
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"Neo4j: APOC plugin error with wildcard query, returning empty result"
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)
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return result
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@@ -788,7 +871,11 @@ class Neo4JStorage(BaseGraphStorage):
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logger.debug(f"Reached max depth: {max_depth}")
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return
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if len(visited_nodes) >= max_nodes:
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logger.debug(f"Reached max nodes limit: {MAX_GRAPH_NODES}")
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# Set truncated flag when we hit the max_nodes limit
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result.is_truncated = True
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logger.info(
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f"Graph truncated: breadth-first search limited to: {max_nodes} nodes"
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)
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return
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# Check if node already visited
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