From Asset Folder To 39 Products: Four Python Scripts For Metadata, Packaging And Upload Tracking

Описание и применение

Автоматизация загрузки изображений в стоковые площадки: скрипты генерируют корректные CSV‑заголовки, отслеживают загруженные файлы, конвертируют Markdown в PDF и упаковывают продукты с обложками.

Задача

Rejection of stock uploads due to incorrect CSV headers and duplicate submissions, causing wasted time and account risk.

Результат

The four scripts packaged 39 products totaling 856 MB on a 1 vCPU, 2 GB RAM server, eliminating rejections and double‑post risks.

Рабочий процесс

• Point make_metadata.py at a folder and specify the target platform to generate a CSV with the exact header required.
• Use upload_tracker.py to mark files as done, view pending items, and check status, ensuring no file is uploaded twice.
• Convert Markdown research files to styled PDFs with md2pdf.py.
• Package assets, generate covers and thumbnails, and zip them with pack_product.py.
• Organize files in the prescribed folder layout (assets/, output/, packs/, research/, scripts/).

Доказательства

Adobe Stock bounced 40 of my first 50 uploads in one batch. The reason was not the art. It was a CSV header with four columns where their uploader expects five.

Источник

The fix is embarrassingly simple: upload_tracker.py is a ledger. done "asset-001.jpg" marks an item, pending items.txt shows only what is left, status gives you the overview.

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md2pdf.py converts a Markdown file to a styled PDF in one command: headings, tables, lists, and links all render properly.

Источник

pack_product.py is the other half of that. It zips the product files and renders a 1280x720 cover and a 600x600 thumbnail using Pillow.

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