Metadata CSVs, Upload Ledgers, and Covers: The Four Scripts Behind 39 Products
Last October I ran my batch upload twice. Same folder, same command, eleven hours apart. I had forgotten which assets I had already submitted to Adobe Stock, so I re-ran the whole thing. Adobe's review caught the duplicates and my account got a warning. That warning is the reason upload_tracker.py exists. This post is about the four scripts that keep my pipeline from making that kind of mistake…
Four scripts form the backbone of a production pipeline behind 39 products. These scripts prevent errors like duplicate uploads and ensure each product adheres to platform-specific requirements. The first script, make_metadata.py, generates metadata CSV files tailored to each platform's specifications. A second script, upload_tracker.py, logs assets as they move through the pipeline to avoid double-posting. md2pdf.py converts Markdown documents into sellable products by formatting, tables, lists, and links.
Lastly, pack_product.py packages products into a zip file with a cover and thumbnail image. The entire system runs on minimal hardware requirements and relies heavily on Python's standard library to maintain simplicity and stability.
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