Data Processing
Jupyter Notebook 可重现脚本线性化器
把 .ipynb 转成带 # %% 标记的 Python 脚本，并检测乱序、隐藏和已删除状态
text· 文本结果打开工具
快速开始
用三种语言从你的代码中调用此工具。
cURL
# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/jupyter-notebook-to-reproducible-script-linearizer' \
-H 'Content-Type: application/json' \
-d '{"filename":"notebookFile.ext","contentType":"application/octet-stream","size":12345}'
# 2) PUT the file bytes directly to the presigned uploadUrl
curl -X PUT '<presigned uploadUrl>' \
--data-binary @/path/to/file.ext
# 3) Call the tool, passing the returned storageKey for each file field
curl -X POST 'https://api.elysiatools.com/zh/api/tools/jupyter-notebook-to-reproducible-script-linearizer' \
-F 'notebookInput={"nbformat":4,"cells":[{"cell_type":"code","execution_count":2,"source":["print(model)"]},{"cell_type":"code","execution_count":1,"source":["import numpy as np\nmodel = np.random.rand(3)"]}]}' \
-F 'notebookFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
-F 'cellOrder=execution' \
-F 'includeMarkdown=true'