fsx-bits-pipeline-watch

You can automate Feishu spreadsheet reporting by running the daily_watch_publish.py script to aggregate FSX pipeline run data into CSV reports and publish them directly to Feishu Sheets. It handles the entire workflow from data extraction to automated group message publishing.

For single-run diagnostics, use the pipeline monitoring workflow to extract test statistics from the latest finished FSX pipeline run. It generates overview, jobs, and top10 CSV reports to help on-call engineers quickly assess individual pipeline health.

Bits OpenAPI authentication handles JWT-based credentials directly or via optional service-account secret exchange. You need to configure these environment JWTs beforehand to enable automated Feishu spreadsheet creation and group message publishing.

When AI report generation fails, the workflow automatically falls back to a rule-based report generation method. This ensures the automated Feishu group message still delivers pipeline health summaries to on-call engineers without interruption.

Yes, the workflow uses lark-cli to create Feishu Sheets and writes combined CSV segments into a single Sheet1. This aggregates multiple pipeline monitoring outputs into one consolidated daily spreadsheet for easy review.

Yes, lark-cli and coco are required dependencies for this workflow. Lark-cli handles Feishu spreadsheet creation and group messaging, while coco supports the core pipeline monitoring and CSV generation logic.