Fix: missing graph resolution and community extraction in graphrag tasks (#7586)

### 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):

graphrag/general/index.py

         )
         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:

rag/svr/task_executor.py

     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)