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Robust for abnormal response from LLMs. (#4747)

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### What problem does this PR solve?


### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
This commit is contained in:
Kevin Hu
2025-02-06 17:34:53 +08:00
committed by GitHub
parent e786f596e2
commit 448fa1c4d4
3 changed files with 9 additions and 5 deletions
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2
graphrag/general/community_reports_extractor.py
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@ -75,6 +75,8 @@ class CommunityReportsExtractor(Extractor):
ent_df["entity"] = ent_df["entity_name"]
del ent_df["entity_name"]
rela_df = pd.DataFrame(self._get_relation_(list(ent_df["entity"]), list(ent_df["entity"]), 10000))
if rela_df.empty:
continue
rela_df["source"] = rela_df["src_id"]
rela_df["target"] = rela_df["tgt_id"]
del rela_df["src_id"]