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dataprocess for dialog robot

Project description

打包和上传pypi命令

python3 setup.py sdist bdist_wheel
twine upload dist/*

pypi-AgEIcHlwaS5vcmcCJGM2NjIwMjllLTgwNzgtNGQ0NC04M2Q0LWQ2YTk3NzJlNzRhYgACElsxLFsia3N0cHJvY2VzcyJdXQACLFsyLFsiMmRjZmE2ZjQtN2JkOC00N2YzLWFlOGUtYzc0YzNiMDFiNzE3Il1dAAAGINLZvJNrTO7fVFT-GMPMhFGQJZy4bss7osXAsYgUNL06

# pypi-AgEIcHlwaS5vcmcCJGM4OWM3NDRiLWIzNTEtNDJkOS1iNzc2LTQxZjRlNjNmMTJkMwACKlszLCI1MDA1MTkzMy00M2E3LTRmY2QtODNlMi0wYzJlNjlmNGNlY2MiXQAABiCvyx84-INQn769QJhjyDb4TfaM8domuUyQdBbl6ViiIw

然后删掉 build,dist,kstprocess.egg-info

第一步:处理原始数据

快商通-总后台-机器人-对话记录:导出的文件:2025年07月07日10时15分49秒-对话记录导出.xlsx。

process_data(
    input_file_path='./接入数据-对话流.xlsx',
    output_file_path='./版本_主题_对话流.xlsx'
)

第二步:绘制对比图

plot_comparison(
    file1_path='./版本_主题_候选话术库_kicp_gpt.xlsx',
    file2_path='./版本_主题_kicp-GPT.xlsx',
    prefix1='候选话术库_kicp_gpt',
    prefix2='kicp-GPT',
    save_path='./留联率对比.jpg',
    min_valid_conversations=5,
)

动一牵全身的地方

# kstprocess/preferenceDataConstruct/OnlinePreferenceConstructPipeline.pyconvert_my_format_to_center/convert
_, search_text, guide_text = history[0]["content"].replace("你是儿科高级咨询师\n你的核心目标是获取访客联系方式。 ", "").split("\n")
# 如果前面的prompt改了,"你是儿科高级咨询师\n你的核心目标是获取访客联系方式。 "也需要修改

DPO数据构造

  • 下一步action修复

  • 不同科室的对话生成约束

    • 正样本生成
    • 负样本生成
  • dpo二次打分

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