增加邮件报警

gunicorn_config.py

@@ -1,7 +1,7 @@
 # 并行工作线程数
 workers = 8
 # 监听内网端口5000【按需要更改】
-bind = '0.0.0.0:12003'
+bind = '0.0.0.0:12000'
 
 loglevel = 'debug'
 

mistral_api.py

@@ -59,7 +59,7 @@ def predict():
     id_ = str(uuid.uuid1())  # 为query生成唯一标识
     print("uuid: ", uuid)
     d = {'id': id_, 'text': text}  # 绑定文本和query id
-    try:
+    # try:
     load_request_path = './request_data_logs/{}.json'.format(id_)
     with open(load_request_path, 'w', encoding='utf8') as f2:
         # ensure_ascii=False才能输入中文，否则是Unicode字符
@@ -69,9 +69,9 @@ def predict():
     redis_.sadd(db_key_querying, id_)
     redis_.sadd(db_key_queryset, id_)
     return_text = {"texts": {'id': id_, }, "probabilities": None, "status_code": 200}
-    except:
-        return_text = {"texts": {'id': id_, }, "probabilities": None, "status_code": 400}
-        smtp_f("vllm-main")
+    # except:
+    #     return_text = {"texts": {'id': id_, }, "probabilities": None, "status_code": 400}
+    #     smtp_f("vllm-main")
     return jsonify(return_text)  # 返回结果
 
 
@@ -79,7 +79,7 @@ def predict():
 def search():
     id_ = request.json['id']  # 获取用户query中的文本 例如"I love you"
     result = redis_.get(id_)  # 获取该query的模型结果
-    try:
+    # try:
     if result is not None:
         result_path = result.decode('UTF-8')
         with open(result_path, encoding='utf8') as f1:
@@ -124,9 +124,9 @@ def search():
                 # ensure_ascii=False才能输入中文，否则是Unicode字符
                 # indent=2 JSON数据的缩进，美观
                 json.dump(result_text, f2, ensure_ascii=False, indent=4)
-    except:
-        smtp_f("vllm-main")
-        result_text = {'code': "400", 'text': "", 'probabilities': None}
+    # except:
+    #     smtp_f("vllm-main")
+    #     result_text = {'code': "400", 'text': "", 'probabilities': None}
     return jsonify(result_text)  # 返回结果
 
 if __name__ == "__main__":

run_model.sh

@@ -1 +1 @@
-nohup python mistral_model_predict_vllm.py > myout.file 2>&1 &
+nohup python mistral_model_predict_vllm.py > myout_model_11.file 2>&1 &