Time Series Analytics Dev

Develop the Time Series Analytics microservice itself (FastAPI + Kapacitor) — build and deploy it locally via Docker Compose or Helm, run the mocked unit test suite (tests/run_tests.sh) and the slower Docker/Helm end-to-end functional suite (tests-functional/), navigate and modify src/main.py (routes), src/classifier_startup.py (Kapacitor/UDF lifecycle), and src/opcua_alerts.py, and follow this service's release conventions (CHANGELOG.md, image-tag bump locations, Dockerfile build args). Use when modifying, testing, debugging, or releasing this service's own code. Not for merely deploying the prebuilt image to build a new UDF-based use case on top of it — that is time-series-analytics-user.

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File contents

open-edge-platform/edge-ai-libraries/tree/main/microservices/time-series-analytics/.github/skills/time-series-analytics-dev commit 1ba640ff53

Frequently asked questions

npx skillmds@latest add open-edge-platform/time-series-analytics-dev