Why 'Build a System, Not a Product' Is the Only Advice That Scales

Описание и применение

Автоматизация создания CSV‑метаданных, предотвращение дублирования загрузок и упаковка файлов в профессиональные пакеты сократили ручную работу и повысили качество публикаций на стоковых платформах.

Задача

Manual CSV metadata creation and duplicate uploads caused frequent rejections and wasted hours when submitting assets to stock platforms.

Результат

Automation reduced manual hours from two hours per batch to seconds, eliminated header typos, prevented duplicate submissions, and produced professional‑looking product packages that improved listing quality.

Рабочий процесс

• 1. Organize assets in project/assets/
• 2. Run make_metadata.py to generate platform‑specific CSVs
• 3. Use upload_tracker.py to track posted items and avoid duplicates
• 4. Run pack_product.py to bundle files, render cover and thumbnail, and create PDFs
• 5. Submit the generated ZIPs to stock platforms

Доказательства

I built the CSV by hand in a spreadsheet, pasted it into the uploader, and got a rejection in under a minute. Wrong header row.

Источник

I stopped hand‑building CSVs and wrote make_metadata.py. It takes a folder of files and writes the exact header each platform demands, nothing more.

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upload_tracker.py is a tiny ledger that remembers what I have already posted. Before any batch run I check pending to see what is actually left.

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pack_product.py bundles the files, renders the cover and thumbnail, and drops everything into a _system folder.

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The whole pipeline runs on 1 vCPU and 2 GB RAM. No GPU.

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