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

Описание и применение

Автор создал пайплайн из четырёх скриптов Python, которые генерируют корректные CSV‑заголовки, отслеживают загрузки, конвертируют Markdown в PDF и упаковывают ассеты в ZIP‑файлы с обложками, позволяя успешно публиковать 39 цифровых продуктов на сервере с 1 vCPU и 2 ГБ ОЗУ.

Задача

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.

Результат

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.

Рабочий процесс

• 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

Доказательства

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

Источник

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

Источник

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.

Источник