Perf: pass useless check for tidy graph (#8121)

### What problem does this PR solve?
Support passing the attribute check when the upstream has already made
sure it.

### Type of change
- [X] Performance Improvement

graphrag/general/index.py

@@ -166,7 +166,7 @@ async def generate_subgraph(
         )
     if ignored_rels:
         callback(msg=f"ignored {ignored_rels} relations due to missing entities.")
-    tidy_graph(subgraph, callback)
+    tidy_graph(subgraph, callback, check_attribute=False)
 
     subgraph.graph["source_id"] = [doc_id]
     chunk = {

graphrag/utils.py

@@ -157,30 +157,32 @@ def set_tags_to_cache(kb_ids, tags):
     k = hasher.hexdigest()
     REDIS_CONN.set(k, json.dumps(tags).encode("utf-8"), 600)
 
-def tidy_graph(graph: nx.Graph, callback):
+def tidy_graph(graph: nx.Graph, callback, check_attribute: bool = True):
     """
     Ensure all nodes and edges in the graph have some essential attribute.
     """
-    def is_valid_node(node_attrs: dict) -> bool:
+    def is_valid_item(node_attrs: dict) -> bool:
         valid_node = True
         for attr in ["description", "source_id"]:
             if attr not in node_attrs:
                 valid_node = False
                 break
         return valid_node
-    purged_nodes = []
-    for node, node_attrs in graph.nodes(data=True):
-        if not is_valid_node(node_attrs):
-            purged_nodes.append(node)
-    for node in purged_nodes:
-        graph.remove_node(node)
-    if purged_nodes and callback:
-        callback(msg=f"Purged {len(purged_nodes)} nodes from graph due to missing essential attributes.")
+    if check_attribute:
+        purged_nodes = []
+        for node, node_attrs in graph.nodes(data=True):
+            if not is_valid_item(node_attrs):
+                purged_nodes.append(node)
+        for node in purged_nodes:
+            graph.remove_node(node)
+        if purged_nodes and callback:
+            callback(msg=f"Purged {len(purged_nodes)} nodes from graph due to missing essential attributes.")
 
     purged_edges = []
     for source, target, attr in graph.edges(data=True):
-        if not is_valid_node(attr):
-            purged_edges.append((source, target))
+        if check_attribute:
+            if not is_valid_item(attr):
+                purged_edges.append((source, target))
         if "keywords" not in attr:
             attr["keywords"] = []
     for source, target in purged_edges: