fix jina adding issure and term weight refinement (#974)

### What problem does this PR solve?

#724 #162

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)

api/apps/llm_app.py

@@ -39,17 +39,18 @@ def factories():
 def set_api_key():
     req = request.json
     # test if api key works
-    chat_passed = False
+    chat_passed, embd_passed, rerank_passed = False, False, False
     factory = req["llm_factory"]
     msg = ""
     for llm in LLMService.query(fid=factory):
-        if llm.model_type == LLMType.EMBEDDING.value:
+        if not embd_passed and llm.model_type == LLMType.EMBEDDING.value:
             mdl = EmbeddingModel[factory](
                 req["api_key"], llm.llm_name, base_url=req.get("base_url"))
             try:
                 arr, tc = mdl.encode(["Test if the api key is available"])
                 if len(arr[0]) == 0 or tc == 0:
                     raise Exception("Fail")
+                embd_passed = True
             except Exception as e:
                 msg += f"\nFail to access embedding model({llm.llm_name}) using this api key." + str(e)
         elif not chat_passed and llm.model_type == LLMType.CHAT.value:
@@ -60,20 +61,21 @@ def set_api_key():
                                  "temperature": 0.9})
                 if not tc:
                     raise Exception(m)
-                chat_passed = True
             except Exception as e:
                 msg += f"\nFail to access model({llm.llm_name}) using this api key." + str(
                     e)
-        elif llm.model_type == LLMType.RERANK:
+            chat_passed = True
+        elif not rerank_passed and llm.model_type == LLMType.RERANK:
             mdl = RerankModel[factory](
                 req["api_key"], llm.llm_name, base_url=req.get("base_url"))
             try:
-                m, tc = mdl.similarity("What's the weather?", ["Is it sunny today?"])
-                if len(arr[0]) == 0 or tc == 0:
+                arr, tc = mdl.similarity("What's the weather?", ["Is it sunny today?"])
+                if len(arr) == 0 or tc == 0:
                     raise Exception("Fail")
             except Exception as e:
                 msg += f"\nFail to access model({llm.llm_name}) using this api key." + str(
                     e)
+            rerank_passed = True
 
     if msg:
         return get_data_error_result(retmsg=msg)

api/db/services/llm_service.py

@@ -147,7 +147,6 @@ class TenantLLMService(CommonService):
                     .where(cls.model.tenant_id == tenant_id, cls.model.llm_name == mdlnm)\
                     .execute()
         except Exception as e:
-            print(e)
             pass
         return num