fix

sql_ml.py

@@ -262,7 +262,7 @@ def run_dbscan_on_corpus(corpus, eps, min_samples, max_samples=10):
         return {processed_corpus[i]: [corpus[i]][:max_samples] for i in range(len(corpus))}
 
 
-def extract_templates_iterative(input_files, output_file, rules, batch_size=1000, eps=0.4, min_samples=2, max_samples_per_template=0):
+def extract_templates_iterative(input_files, output_file, rules, batch_size=1000, eps=0.4, min_samples=2, max_samples_per_template=0, content_key='content'):
     """
     使用小批量迭代的混合策略来提取模板，并为每个模板收集最多10个原始数据集。
     支持多个输入文件。
@@ -280,10 +280,16 @@ def extract_templates_iterative(input_files, output_file, rules, batch_size=1000
                 total_lines += sum(1 for _ in f)
         
         for input_file in input_files:
+            print(f"\n--- 开始处理文件: {input_file} ---")
+            # 计算当前文件的行数
             with open(input_file, 'r', encoding='utf-8') as f:
-                for line in tqdm(f, total=total_lines, desc="主进程"):
+                file_lines = sum(1 for _ in f)
+            
+            with open(input_file, 'r', encoding='utf-8') as f:
+                for line in tqdm(f, total=file_lines, desc=f"处理 {input_file.split('/')[-1]}"):
                     try:
-                        content = json.loads(line).get('content')
+                        data = json.loads(line)
+                        content = data.get(content_key)
                         if not content: continue
                         
                         normalized_content = normalize_text(content)
@@ -365,7 +371,7 @@ def extract_templates_iterative(input_files, output_file, rules, batch_size=1000
         print(f"错误：找不到输入文件 {e.filename}。")
         return
 
-def extract_values_with_templates(input_files, template_file, output_file):
+def extract_values_with_templates(input_files, template_file, output_file, content_key='content'):
     """
     使用DBSCAN生成的模板从原始消息中提取参数值
     支持多个输入文件。
@@ -390,11 +396,16 @@ def extract_values_with_templates(input_files, template_file, output_file):
             total_lines += sum(1 for _ in f)
     
     for input_file in input_files:
+        print(f"\n--- 开始处理文件: {input_file} ---")
+        # 计算当前文件的行数
         with open(input_file, 'r', encoding='utf-8') as f:
-            for line in tqdm(f, total=total_lines, desc="提取参数"):
+            file_lines = sum(1 for _ in f)
+            
+        with open(input_file, 'r', encoding='utf-8') as f:
+            for line in tqdm(f, total=file_lines, desc=f"提取 {input_file.split('/')[-1]}"):
                 try:
                     data = json.loads(line)
-                    content = data.get('content', '')
+                    content = data.get(content_key, '')
                     
                     if not content:
                         continue
@@ -436,6 +447,7 @@ if __name__ == "__main__":
     parser.add_argument('--eps', type=float, default=0.4, help='DBSCAN eps parameter')
     parser.add_argument('--min_samples', type=int, default=5, help='DBSCAN min_samples parameter')
     parser.add_argument('--extract_values', action='store_true', help='Extract values using generated templates')
+    parser.add_argument('--content_key', type=str, default='content', help='Key to extract content from JSON objects (default: content)')
     
     args = parser.parse_args()
     
@@ -444,7 +456,8 @@ if __name__ == "__main__":
         extract_values_with_templates(
             input_files=args.input_file,
             template_file='templates_iterative.txt',
-            output_file=args.output_file
+            output_file=args.output_file,
+            content_key=args.content_key
         )
     else:
         # 执行模板提取
@@ -454,5 +467,6 @@ if __name__ == "__main__":
             rules=PREDEFINED_RULES,
             batch_size=args.batch_size,
             eps=args.eps,
-            min_samples=args.min_samples
+            min_samples=args.min_samples,
+            content_key=args.content_key
         )