Running 39 Products Through Adobe, Vecteezy And Dreamstime Without Spending On Cloud

说明与用途

一个自动化管道，生成正确的 CSV 标题、跟踪上传、打包和渲染封面，使 39 个产品能够在 Adobe Stock、Vecteezy 和 Dreamstime 上上传，而无需云成本，运行在 1 核 2 GB RAM 服务器上。

问题

Uploading vector files to Adobe Stock, Vecteezy, and Dreamstime fails instantly if the CSV metadata header is incorrect, causing wasted time and potential account flagging.

结果

The pipeline processed 39 finished products (~856 MB) on a 1‑vCPU, 2 GB RAM server with no cloud bill, avoiding upload rejections and double‑posting flags.

工作流

• Read vector files and optional titles.json
• Generate platform‑specific CSV header with make_metadata.py
• Track upload status with upload_tracker.py
• Convert Markdown to styled PDF with md2pdf.py
• Zip files and render cover/thumbnail with pack_product.py
• Upload to chosen platform

证据

Adobe's uploader checks the header row before it looks at a single file. Five columns, in their exact order.

来源

The whole pipeline runs on a 1-core box, and it works because of habits, not hardware: One process at a time. Never fan out image jobs in parallel on a single core.

来源

The four scripts here are the packaging layer you can actually reuse.

来源