Copilot commented on code in PR #240:
URL:
https://github.com/apache/incubator-hugegraph-ai/pull/240#discussion_r2097122912
##########
hugegraph-llm/src/hugegraph_llm/utils/graph_index_utils.py:
##########
@@ -47,9 +47,10 @@ def get_graph_index_info():
def clean_all_graph_index():
VectorIndex.clean(str(os.path.join(resource_path,
huge_settings.graph_name, "graph_vids")))
+ VectorIndex.clean(str(os.path.join(resource_path,
huge_settings.graph_name, "graph_props")))
VectorIndex.clean(str(os.path.join(resource_path, "gremlin_examples")))
- log.warning("Clear graph index and text2gql index successfully!")
- gr.Info("Clear graph index and text2gql index successfully!")
+ log.warning("Clear graph index, property index and text2gql index
successfully!")
+ gr.Info("Clear graph index, property index and text2gql index
successfully!")
Review Comment:
The log message references 'text2gql' but the feature is called
'text2gremlin'. Consider updating it to 'text2gremlin index' and using past
tense for consistency (e.g., 'Cleared...').
```suggestion
log.warning("Cleared graph index, property index, and text2gremlin index
successfully!")
gr.Info("Cleared graph index, property index, and text2gremlin index
successfully!")
```
##########
hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/fetch_graph_data.py:
##########
@@ -49,4 +50,19 @@ def res = [:];
if isinstance(result, list) and len(result) > 0:
graph_summary.update({key: result[i].get(key) for i, key in
enumerate(keys)})
+
+ index_labels = self.schema.getIndexLabels()
Review Comment:
[nitpick] Add or update the docstring for `run` to explain how
`index_labels` is populated and used downstream for property embedding, so
future maintainers understand this new field in `graph_summary`.
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