Can I use this for standard JSON dashboard creation?

No, this skill is specialized for converting Python scripts to Jsonnet. For standard JSON-to-Jsonnet conversion, you should use the grafana-json-to-jsonnet skill.

Does it support multiple datasources in a single dashboard?

Yes, it is specifically designed to handle dual-datasource configurations, allowing panels to pull from both ClickHouse and Elasticsearch (ES7/ES8) simultaneously.

Which Grafana panel types are supported?

It automatically maps report sections to Stat panels, Time Series panels, Table panels, and Bar Gauges based on the data structure.

What is the primary input for this skill?

The skill primarily takes Python scripts containing Elasticsearch queries and report logic, converting them into Grafana Jsonnet files.

How does it handle complex report calculations?

The skill identifies post-processing logic within the Python script and attempts to replicate those metric formulas and calculations within the Grafana panel targets.

Grafana Report to Dashboard Migration

Name: Grafana Report to Dashboard Migration
Author: haomingz

byhaomingz

분석 및 모니터링

Converts Python-based Elasticsearch email reports into interactive Grafana dashboards using Jsonnet with dual-datasource support.

소개

This skill facilitates the modernization of legacy reporting workflows by transforming static Python report scripts into dynamic Grafana dashboards. It specialized in parsing Elasticsearch aggregations and email output logic to generate production-ready Jsonnet code. By supporting dual-datasource configurations—specifically ClickHouse and Elasticsearch (ES7/ES8)—it allows teams to migrate complex calculations into real-time observability views while preserving the original metric semantics and business logic.

주요 기능

Generates manual import-ready dashboards with dynamic datasource variables
0 GitHub stars
Maps report logic to optimized panel types including Stat, Time Series, and Table panels
Converts Python Elasticsearch queries into Grafana Jsonnet configurations
Preserves complex post-processing calculations and metric formulas during migration
Supports dual-datasource integration for ClickHouse and Elasticsearch (ES7/ES8)

사용 사례

Migrating scheduled Python email reports to real-time monitoring dashboards
Converting legacy report calculation scripts into interactive, visual Grafana panels
Building multi-datasource observability views combining ClickHouse and Elasticsearch data

소개

주요 기능

Generates manual import-ready dashboards with dynamic datasource variables
0 GitHub stars
Maps report logic to optimized panel types including Stat, Time Series, and Table panels
Converts Python Elasticsearch queries into Grafana Jsonnet configurations
Preserves complex post-processing calculations and metric formulas during migration
Supports dual-datasource integration for ClickHouse and Elasticsearch (ES7/ES8)

사용 사례

Migrating scheduled Python email reports to real-time monitoring dashboards
Converting legacy report calculation scripts into interactive, visual Grafana panels
Building multi-datasource observability views combining ClickHouse and Elasticsearch data