After collecting test data via pytest hooks, the next challenge is where to send it for meaningful visualization. This post demonstrates a pattern using Golang and the Echo framework to build a task visualization platform for automated tests. The approach connects pytest's collection and execution events to a backend service that can store, aggregate, and display results in real time. For teams relying on pytest, this offers a path to custom dashboards beyond standard HTML reports. The architecture is modular, allowing integration with existing CI pipelines and databases. While the example is specific, the design can be adapted to other test frameworks and backends.
A practical architecture for piping pytest test data into a Golang-based visualization platform, enabling custom dashboards and better test insights.