修改文件编码格式

fast_api.py

@@ -1,4 +1,5 @@
-# coding=gbk
+# -*- coding: utf-8 -*-
+
 from fastapi import FastAPI, HTTPException, BackgroundTasks
 from qa_Ask import QAService, match_query, store_data
 from pydantic import BaseModel
@@ -18,13 +19,13 @@ from faiss_kb_service import EmbeddingsFunAdapter
 
 app = FastAPI()
 
-# 配置日志记录到文件和终端
+# 配置日志记录到文件和终端
 logging.basicConfig(
     level=logging.INFO,
     format='%(asctime)s - %(levelname)s - %(message)s',
     handlers=[
         logging.FileHandler('log/app.log'),
-        logging.StreamHandler(sys.stdout)  # 这里添加控制台处理程序
+        logging.StreamHandler(sys.stdout)  # 这里添加控制台处理程序
     ]
 )
 logger = logging.getLogger(__name__)
@@ -60,7 +61,7 @@ max_knowledge_bases = config_data['max_knowledge_bases']
 
 
 def load_knowledge_bases():
-    """加载知识库名称列表"""
+    """加载知识库名称列表"""
     if os.path.exists(knowledge_base_file):
         with open(knowledge_base_file, "r") as file:
             return file.read().splitlines()
@@ -69,13 +70,13 @@ def load_knowledge_bases():
 
 
 def save_knowledge_bases(names):
-    """保存知识库名称列表到文件"""
+    """保存知识库名称列表到文件"""
     with open(knowledge_base_file, "w") as file:
         file.write("\n".join(names))
 
 
 def update_kb(kb_name, qa_service, path, max_knowledge_bases):
-    """更新知识库"""
+    """更新知识库"""
     store_data(qa_service, path)
 
     if len(recent_knowledge_bases) == max_knowledge_bases:
@@ -87,11 +88,11 @@ def update_kb(kb_name, qa_service, path, max_knowledge_bases):
 
     os.remove(path)
     logger.info(f"Knowledge base updated: {kb_name}\n"
-                f"Please wait while the database is being updated···")
+                f"Please wait while the database is being updated···")
 
 
 def fetch_and_write_data(api_url, path):
-    """从API获取数据并写入文件"""
+    """从API获取数据并写入文件"""
     try:
         response = requests.get(api_url)
         response_data = response.json()
@@ -117,7 +118,7 @@ faiss_service = FaissKBService(kb_name= recent_knowledge_bases[-1], embed_model_
 
 @app.post("/embeddings/", response_model=EmbeddingResponse)
 async def get_embeddings(request: EmbeddingRequest):
-    """使用FaissKBService实例来获取嵌入向量"""
+    """使用FaissKBService实例来获取嵌入向量"""
     embed_func = EmbeddingsFunAdapter(faiss_service.embed_model_path, faiss_service.device)
     try:
         embeddings = embed_func.embed_query(request.text)
@@ -128,7 +129,7 @@ async def get_embeddings(request: EmbeddingRequest):
 
 @app.post("/updateDatabase")
 async def save_to_json(question_items: list[QuestionItem], background_tasks: BackgroundTasks):
-    """接收问题数据并异步保存为JSON文件，触发后台更新任务"""
+    """接收问题数据并异步保存为JSON文件，触发后台更新任务"""
     try:
         json_data = json.dumps([item.dict() for item in question_items], ensure_ascii=False, indent=2)
         path = "output.json"
@@ -145,17 +146,17 @@ async def save_to_json(question_items: list[QuestionItem], background_tasks: Bac
             update_kb, kb_name, qa_service, path, max_knowledge_bases
         )
 
-        return {"status": "success", "message": "Please wait while the database is being updated···"}
+        return {"status": "success", "message": "Please wait while the database is being updated···"}
 
     except Exception as e:
         logger.error(f"Error saving data to file or scheduling knowledge base update task: {e}")
         # raise HTTPException(status_code=500, detail=f"Internal Server Error: {str(e)}")
-        return {"status": "error", "message": "update task error···"}
+        return {"status": "error", "message": "update task error···"}
 
 
 @app.post("/matchQuestion")
 def match_question(request: QuestionRequest):
-    """匹配问题的端点"""
+    """匹配问题的端点"""
     try:
         logger.info(f"match_question:Request: {request}")
         start_time = time.time()