How I Packaged 39 Assets For Adobe Vecteezy And Dreamstime With Four Python Scripts

说明与用途

作者创建了四个Python脚本的流水线，生成正确的CSV标题，跟踪上传，转换Markdown为PDF，并将资产打包成带封面的ZIP文件，使得在1 vCPU、2 GB内存的服务器上成功发布39个数字产品。

问题

Uploading batches of digital assets to stock platforms failed because of incorrect CSV headers, duplicate submissions, and incomplete packaging, causing repeated rejections and account flags.

结果

The four‑script pipeline enabled the author to produce 39 sellable products on a low‑resource server, avoiding CSV header errors, duplicate uploads, and poor packaging, thereby improving upload success and sales potential.

工作流

• Generate metadata CSV with make_metadata.py for each platform
• Run upload_tracker.py to list pending items
• Upload assets, marking each as done with upload_tracker.py
• Convert Markdown to PDF using md2pdf.py
• Create product zip with cover and thumbnail using pack_product.py
• Upload final packages to stock platforms

证据

All three platforms I sell on reject a wrong CSV header instantly.

来源

My fix is embarrassingly simple. upload_tracker.py is a ledger:

来源

I learned this lesson the hard way. The same files sold noticeably better once they shipped as a zip with a real cover instead of a bare file.

来源