Huanshere / Huanshere/VideoLingo
Bug: DataFrame creation fails due to mismatched array lengths in step5_splitforsub.py
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Description
你好,以下是我用 AI 生成的 issue 报告,谢谢开发者。
标题
Bug: DataFrame creation fails due to mismatched array lengths in step5_splitforsub.py
问题描述
在处理字幕分割时,程序在 step5_splitforsub.py 中创建 DataFrame 时报错,显示源文本和翻译文本的数组长度不匹配。
错误信息
2025-01-21 16:23:13.174 Uncaught app exception
Traceback (most recent call last):
File "/opt/anaconda3/envs/videolingo/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/exec_code.py", line 88, in exec_func_with_error_handling
result = func()
File "/opt/anaconda3/envs/videolingo/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 590, in code_to_exec
exec(code, module. dict )
File "/Users/XXX/NAS-Home/Document/Code/Github-开源项目/VideoLingo/st.py", line 123, in
main()
File "/Users/XXX/NAS-Home/Document/Code/Github-开源项目/VideoLingo/st.py", line 119, in main
text_processing_section()
File "/Users/XXX/NAS-Home/Document/Code/Github-开源项目/VideoLingo/st.py", line 33, in text_processing_section
process_text()
File "/Users/XXX/NAS-Home/Document/Code/Github-开源项目/VideoLingo/st.py", line 57, in process_text
step5_splitforsub.split_for_sub_main()
File "/Users/XXX/NAS-Home/Document/Code/Github-开源项目/VideoLingo/core/step5_splitforsub.py", line 131, in split_for_sub_main
pd.DataFrame({'Source': src, 'Translation': remerged}).to_excel(OUTPUT_REMERGED_FILE, index=False)
File "/opt/anaconda3/envs/videolingo/lib/python3.10/site-packages/pandas/core/frame.py", line 778, in init mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
File "/opt/anaconda3/envs/videolingo/lib/python3.10/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
File "/opt/anaconda3/envs/videolingo/lib/python3.10/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
index = _extract_index(arrays)
File "/opt/anaconda3/envs/videolingo/lib/python3.10/site-packages/pandas/core/internals/construction.py", line 677, in _extract_index
raise ValueError("All arrays must be of the same length")
ValueError: All arrays must be of the same length
复现步骤
- 启动 VideoLingo
- 上传视频并完成翻译
- 在字幕处理阶段出现错误
环境信息
- Python 版本:3.10
- 操作系统:macOS
- VideoLingo 版本:[您的版本号]
建议修复
建议在创建 DataFrame 之前添加数组长度检查,确保 src 和 remerged 数组长度一致。可以考虑在 split_align_subs 函数中添加数据一致性验证。
相关文件
- core/step5_splitforsub.py
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start in core/step5_splitforsub.py at line 131, where split_for_sub_main creates the DataFrame, then inspect the split_align_subs path that produces src and remerged. Reproduce the subtitle-processing workflow from the issue and compare the two array lengths before DataFrame creation. Done means the reported workflow no longer raises the mismatched-length error and the resulting output remains aligned.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pandas, python, streamlit
- Domain
- data
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100