'commit'

dsLightRag/Math/kv_store_llm_response_cache.json

@@ -0,0 +1,14 @@
+{
+  "hybrid": {
+    "6a2a99a3bd4688b079a45fedbd1cd493": {
+      "return": "{\"high_level_keywords\": [\"\\u5c0f\\u5b66\\u6570\\u5b66\", \"\\u6559\\u80b2\\u6a21\\u578b\", \"\\u6570\\u5b66\\u6982\\u5ff5\"], \"low_level_keywords\": [\"\\u52a0\\u51cf\\u6cd5\\u6a21\\u578b\", \"\\u51e0\\u4f55\\u56fe\\u5f62\", \"\\u5206\\u6570\\u6a21\\u578b\", \"\\u5e94\\u7528\\u9898\", \"\\u6570\\u8f74\"]}",
+      "cache_type": "keywords",
+      "chunk_id": null,
+      "embedding": null,
+      "embedding_shape": null,
+      "embedding_min": null,
+      "embedding_max": null,
+      "original_prompt": "小学数学中有哪些模型？"
+    }
+  }
+}

dsLightRag/Start.py

@@ -55,22 +55,29 @@ app.mount("/static", StaticFiles(directory="Static"), name="static")
 async def rag(request: fastapi.Request):
     data = await request.json()
     query = data.get('query', '')
-    working_dir = "./Math"  # 使用与T2_Query.py相同的目录
+    working_dir = "./Test/Math"  # 使用与T2_Query.py相同的目录
 
     async def generate_response_stream():
         rag = None
         try:
+            logger.info(f"Initializing RAG with working_dir: {working_dir}")
             rag = await initialize_rag(working_dir)
+            logger.info("RAG initialized successfully")
+            
             resp = await rag.aquery(
                 query,
                 param=QueryParam(mode="hybrid", stream=True),
             )
+            logger.info("Query execution started")
             
-            if inspect.isasyncgen(resp):
             async for chunk in resp:
+                if not chunk:  # Skip empty chunks
+                    continue
+                try:
                     yield f"data: {json.dumps({'reply': chunk}, ensure_ascii=False)}\n\n"
-            else:
-                yield f"data: {json.dumps({'reply': resp}, ensure_ascii=False)}\n\n"
+                except Exception as e:
+                    logger.error(f"Error processing chunk: {e}")
+                    yield f"data: {json.dumps({'error': str(e)})}\n\n"
         except Exception as e:
             yield f"data: {json.dumps({'error': str(e)})}\n\n"
         finally:

dsLightRag/Test/Math/kv_store_llm_response_cache.json

@@ -2531,6 +2531,16 @@
       "embedding_min": null,
       "embedding_max": null,
       "original_prompt": "小学数学中常用的公式有哪些？"
+    },
+    "6a2a99a3bd4688b079a45fedbd1cd493": {
+      "return": "{\"high_level_keywords\": [\"\\u5c0f\\u5b66\\u6570\\u5b66\", \"\\u6570\\u5b66\\u6a21\\u578b\", \"\\u6559\\u80b2\\u65b9\\u6cd5\"], \"low_level_keywords\": [\"\\u52a0\\u51cf\\u6cd5\\u6a21\\u578b\", \"\\u51e0\\u4f55\\u56fe\\u5f62\", \"\\u5206\\u6570\\u6a21\\u578b\", \"\\u5e94\\u7528\\u9898\", \"\\u6570\\u8f74\"]}",
+      "cache_type": "keywords",
+      "chunk_id": null,
+      "embedding": null,
+      "embedding_shape": null,
+      "embedding_min": null,
+      "embedding_max": null,
+      "original_prompt": "小学数学中有哪些模型？"
     }
   }
 }