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