from scoring.assessment_engine import AssessmentEngine

assessment_engine = AssessmentEngine("other",
                                     "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")
assessment_engine.eval_result_diff("0408output-dora.csv")

# synthesis_rouge_score = 0.30358589506467687
# print("微调模型ROUGE分数：", synthesis_rouge_score)
# original_rouge_score = 0.26004000118452175
# print("原模型ROUGE分数：", original_rouge_score)
# synthesis_acc_score = 2.768
# print("微调模型准确性分数：", synthesis_acc_score)
# original_acc_score = 2.724
# print("原模型准确性分数：", original_acc_score)
# synthesis_fluency_score = 2.098
# print("微调模型流畅度分数：", synthesis_fluency_score)
# original_fluency_score = 2.236
# print("原模型流畅度分数：", original_fluency_score)
# synthesis_diff_score = 2.278
# print("微调模型优于原模型分数：", synthesis_diff_score)
#
# synthesis_score = (synthesis_rouge_score * 100 + synthesis_acc_score * 100/4 + synthesis_fluency_score * 100/3
#                    + synthesis_diff_score * 100/3 ) / 4
# original_synthesis_score = (original_rouge_score * 100 + original_acc_score * 100/4 +
#                             original_fluency_score * 100/3 + 66 ) / 4
#
# print("综合评分：", synthesis_score)
# print("原模型综合评分：", original_synthesis_score)