fix: Skip hyperlinks for header row in CSV processing

process_data.py

@@ -64,13 +64,13 @@ def process_batch_translations(data, search_term_index, category_indices):
         
         # 收集所有需要翻译的文本
         translation_batches = {
-            'search_terms': [row[search_term_index] for row in data[1:]],
+            'search_terms': [row[search_term_index] for row in data[2:]],  # 从第三行开始
             'categories': []
         }
         
         # 收集类别翻译
         for index in category_indices:
-            translation_batches['categories'].extend([row[index] for row in data[1:]])
+            translation_batches['categories'].extend([row[index] for row in data[2:]])  # 从第三行开始
         
         # 批量翻译
         logger.info("Starting batch translations...")
@@ -79,17 +79,17 @@ def process_batch_translations(data, search_term_index, category_indices):
         logger.info("Batch translations completed")
         
         # 更新数据
-        for i, row in enumerate(data[1:], start=1):
+        for i, row in enumerate(data[2:], start=2):  # 从第三行开始处理
             try:
                 # 更新搜索词翻译列
-                row[search_term_index + 1] = search_translations[i-1]
+                row[search_term_index + 1] = search_translations[i-2]
                 
-                # 添加亚马逊搜索链接
+                # 添加亚马逊搜索链接（跳过标题行）
                 amazon_url = f"https://www.amazon.co.jp/s?k={row[search_term_index]}"
                 row[search_term_index] = create_hyperlink(row[search_term_index], amazon_url)
                 
                 # 更新类别翻译
-                category_trans_index = 0
+                category_trans_index = (i-2) * len(category_indices)
                 for cat_index in category_indices:
                     row[cat_index + 1] = category_translations[category_trans_index]
                     category_trans_index += 1
@@ -106,7 +106,7 @@ def process_batch_translations(data, search_term_index, category_indices):
 def add_brand_asin_links(data, brand_indices, asin_indices):
     """为品牌和ASIN列添加链接"""
     try:
-        for row in data[1:]:
+        for row in data[2:]:  # 从第三行开始处理
             # 处理品牌列
             for index in brand_indices:
                 if index < len(row) and row[index]: