更新 Gunicorn 配置以优化连接管理；在处理条目时增加对空文本的处理，确保输入有效性

blkeras.py

@@ -66,7 +66,7 @@ def get_model():
                     "ConcatenateTimesteps": ConcatenateTimesteps
                 })
 
-                model.summary()
+                # model.summary()
                 model_initialized = True
     return model
 

gunicorn.conf.py

@@ -14,6 +14,10 @@ threads = 2
 # 请求超时时间
 timeout = 600
 
+keepalive = 5               # keep-alive 连接等待时间，建议设置较小值
+graceful_timeout = 30      # 优雅关闭超时时间，给进程2分钟清理资源
+
+
 # 工作方式
 worker_class = "uvicorn.workers.UvicornWorker"
 

preprocess.py

@@ -74,7 +74,7 @@ class LazyWord2Vec:
     def load_model(self):
         if self._model is None:
             print(f"Loading Word2Vec model from path: {self.model_path}...")
-            self._model = KeyedVectors.load(self.model_path, mmap='r')
+            self._model = KeyedVectors.load(self.model_path)
 
     @property
     def model(self):
@@ -677,11 +677,15 @@ def dependency_parsing(text):
 def processing_entry(entry):
     # print(f"processing_entry: {entry}")
 
+    text = entry
+    if text and text.strip() == "EMPTY_TEXT":
+        text = "It just a normal day."
+
 
-    lemmatized_entry = preprocessing_entry(entry)
+    lemmatized_entry = preprocessing_entry(text)
     # print(f"lemmatized_entry: {lemmatized_entry}")
 
-    cleaned_text = disposal_noise(entry)
+    cleaned_text = disposal_noise(text)
     # print(f"disposal_noise: {cleaned_text}")
 
     pos_tag = pos_tagging(cleaned_text)
@@ -694,7 +698,7 @@ def processing_entry(entry):
     # print(f"dependency_parsing: {db_dependency_parsing}")
     dependency_parsed = None
 
-    sentiment_score = get_sentiment_score(cleaned_text)
+    sentiment_score = get_sentiment_score(entry)
     # print(f"sentiment_score: {sentiment_score}")