### What problem does this PR solve? Info of whether applying graph resolution and community extraction is storage in `task["kb_parser_config"]`. However, previous code get `graphrag_conf` from `task["parser_config"]`, making `with_resolution` and `with_community` are always false. ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) - [ ] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [ ] Refactoring - [ ] Performance Improvement - [ ] Other (please describe):tags/v0.19.0
| @@ -88,7 +88,7 @@ async def run_graphrag( | |||
| ) | |||
| assert new_graph is not None | |||
| if not with_resolution or not with_community: | |||
| if not with_resolution and not with_community: | |||
| return | |||
| if with_resolution: | |||
| @@ -537,9 +537,9 @@ async def do_handle_task(task): | |||
| elif task.get("task_type", "") == "graphrag": | |||
| global task_limiter | |||
| task_limiter = trio.CapacityLimiter(2) | |||
| graphrag_conf = task_parser_config.get("graphrag", {}) | |||
| if not graphrag_conf.get("use_graphrag", False): | |||
| if not task_parser_config.get("graphrag", {}).get("use_graphrag", False): | |||
| return | |||
| graphrag_conf = task["kb_parser_config"].get("graphrag", {}) | |||
| start_ts = timer() | |||
| chat_model = LLMBundle(task_tenant_id, LLMType.CHAT, llm_name=task_llm_id, lang=task_language) | |||
| with_resolution = graphrag_conf.get("resolution", False) | |||