Wanted to share a project I’m proud of — we built a real-time document processing dashboard using Qomplement’s API and Grafana.\n\n## What It Shows\n- Documents processed per hour/day/week\n- Average processing time trends\n- Accuracy scores by document type\n- Error rates and failure reasons\n- Queue depth and estimated completion time\n\n## Tech Stack\n- Qomplement API for processing\n- PostgreSQL for storing results and metrics\n- Python worker that polls for new documents and pushes metrics\n- Grafana for visualization\n\n## Screenshot Description\nImagine a dashboard with 6 panels: throughput graph, accuracy heatmap by template, error rate timeline, active jobs counter, processing time histogram, and a table of recent failures.\n\n## Why Bother?\nWhen you’re processing hundreds of docs per day, visibility matters. We caught a template regression within an hour because the accuracy panel dipped. Without the dashboard, we would have found out days later during manual QA.\n\nThe whole setup took about 2 days to build. Most of the time was spent on the Grafana dashboards — the Qomplement API side was straightforward.
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Love this. Accuracy monitoring is the killer feature. Catching regressions early saves production headaches.
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