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from openpyxl import load_workbook
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from Util import LlmUtil
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# 要处理的Excel
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excel_file = r'D:\dsWork\dsProject\dsLightRag\Doc\T1、史校长资料\测试结果\100题测试结果.xlsx'
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if __name__ == '__main__':
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prompt = """
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请针对下面这两段文字【1】和【2】进行评分，最高分为10分，最低分为0分，每1分差别为一个档次。
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具体评分标准为：
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只要【1】中包含【2】完全相同或者含义相同的内容，即从【1】可以推理出【2】即视为正确，打10分；
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【1】中完全没有【2】表达的内容即视为错误打0分；趋于中间的按照涵盖程度打分，分越高越相似。
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请注意：结果展示时，请按照如下标准进行输出:
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先展示分析过程，然后展示最终得分，【最终得分】：x分，x替换为具体的分数，范围从0到10的整数。
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"""
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wb = load_workbook(excel_file)
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ws = wb.active # 获取第一个sheet
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query_text = prompt + "\n"
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query_text = query_text + "下面将提供两段文字：\n"
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query_text = query_text + "【1】：\n"
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O2_content = ws['O2'].value
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query_text = query_text + O2_content + "\n"
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query_text = query_text + "【2】：\n"
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O2_content = ws['D2'].value
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query_text = query_text + O2_content + "\n"
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response = LlmUtil.get_llm_response(query_text)
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print(response)
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# 对比
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# 【1】:O2,【2】:D2 内容
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# 结果保存到 P2 (打分过程) Q2(通过正则表达式截取出的 【最终得分】)
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wb.close()
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