Move settings initialization after module init phase (#3438)

### What problem does this PR solve?

1. Module init won't connect database any more.
2. Config in settings need to be used with settings.CONFIG_NAME

### Type of change

- [x] Refactoring

Signed-off-by: jinhai <haijin.chn@gmail.com>

api/db/services/dialog_service.py

@@ -27,7 +27,7 @@ from api.db.db_models import Dialog, Conversation,DB
 from api.db.services.common_service import CommonService
 from api.db.services.knowledgebase_service import KnowledgebaseService
 from api.db.services.llm_service import LLMService, TenantLLMService, LLMBundle
-from api.settings import retrievaler, kg_retrievaler
+from api import settings
 from rag.app.resume import forbidden_select_fields4resume
 from rag.nlp.search import index_name
 from rag.utils import rmSpace, num_tokens_from_string, encoder
@@ -152,7 +152,7 @@ def chat(dialog, messages, stream=True, **kwargs):
         return {"answer": "**ERROR**: Knowledge bases use different embedding models.", "reference": []}
 
     is_kg = all([kb.parser_id == ParserType.KG for kb in kbs])
-    retr = retrievaler if not is_kg else kg_retrievaler
+    retr = settings.retrievaler if not is_kg else settings.kg_retrievaler
 
     questions = [m["content"] for m in messages if m["role"] == "user"][-3:]
     attachments = kwargs["doc_ids"].split(",") if "doc_ids" in kwargs else None
@@ -342,7 +342,7 @@ def use_sql(question, field_map, tenant_id, chat_mdl, quota=True):
 
         logging.debug(f"{question} get SQL(refined): {sql}")
         tried_times += 1
-        return retrievaler.sql_retrieval(sql, format="json"), sql
+        return settings.retrievaler.sql_retrieval(sql, format="json"), sql
 
     tbl, sql = get_table()
     if tbl is None:
@@ -596,7 +596,7 @@ def ask(question, kb_ids, tenant_id):
     embd_nms = list(set([kb.embd_id for kb in kbs]))
 
     is_kg = all([kb.parser_id == ParserType.KG for kb in kbs])
-    retr = retrievaler if not is_kg else kg_retrievaler
+    retr = settings.retrievaler if not is_kg else settings.kg_retrievaler
 
     embd_mdl = LLMBundle(tenant_id, LLMType.EMBEDDING, embd_nms[0])
     chat_mdl = LLMBundle(tenant_id, LLMType.CHAT)

api/db/services/document_service.py

@@ -26,7 +26,7 @@ from io import BytesIO
 from peewee import fn
 
 from api.db.db_utils import bulk_insert_into_db
-from api.settings import docStoreConn
+from api import settings
 from api.utils import current_timestamp, get_format_time, get_uuid
 from graphrag.mind_map_extractor import MindMapExtractor
 from rag.settings import SVR_QUEUE_NAME
@@ -108,7 +108,7 @@ class DocumentService(CommonService):
     @classmethod
     @DB.connection_context()
     def remove_document(cls, doc, tenant_id):
-        docStoreConn.delete({"doc_id": doc.id}, search.index_name(tenant_id), doc.kb_id)
+        settings.docStoreConn.delete({"doc_id": doc.id}, search.index_name(tenant_id), doc.kb_id)
         cls.clear_chunk_num(doc.id)
         return cls.delete_by_id(doc.id)
 
@@ -553,10 +553,10 @@ def doc_upload_and_parse(conversation_id, file_objs, user_id):
             d["q_%d_vec" % len(v)] = v
         for b in range(0, len(cks), es_bulk_size):
             if try_create_idx:
-                if not docStoreConn.indexExist(idxnm, kb_id):
-                    docStoreConn.createIdx(idxnm, kb_id, len(vects[0]))
+                if not settings.docStoreConn.indexExist(idxnm, kb_id):
+                    settings.docStoreConn.createIdx(idxnm, kb_id, len(vects[0]))
                 try_create_idx = False
-            docStoreConn.insert(cks[b:b + es_bulk_size], idxnm, kb_id)
+            settings.docStoreConn.insert(cks[b:b + es_bulk_size], idxnm, kb_id)
 
         DocumentService.increment_chunk_num(
             doc_id, kb.id, token_counts[doc_id], chunk_counts[doc_id], 0)