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grafyaml
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Tools to make Grafana dashboards from templates
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Clark Boylan ddd1845d00 Update Docker images to python 3.10 
This updates the grafyaml docker images to python 3.10. We do this
because 3.10 has been shown to be quicker than 3.8. Also, 3.11 is coming
up soon and moving off of 3.8 will allow us to remove those images
before adding 3.11 which keeps to image build count to a more reasonable
number.

We update the voluptuous version to add python 3.10 support. In
particular collections.Mapping moved to collections.abc.Mapping.

Change-Id: I1514f5e1992cfe5dcdaa06133f5da7379599e57e
 		2022-10-14 16:36:05 -07:00
doc/source Add import of json files 2020-06-25 15:04:14 +10:00
etc Replace oslo_config dependency with argparse 2015-10-09 10:12:57 -04:00
grafana_dashboards Fix default handling with newer voluptious 2022-10-14 16:35:05 -07:00
tests Strip id/uid from .json input 2022-03-11 13:38:45 +11:00
.coveragerc Change ignore-errors to ignore_errors 2015-09-21 14:23:17 +00:00
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README.rst

grafyaml

At a glance

Overview

grafyaml takes descriptions of Grafana dashboards in YAML format, and uses them to produce JSON formatted output suitable for direct import into Grafana.

The tool uses the Voluptuous data validation library to ensure the input produces a valid dashboard. Along with validation, users receive the benefits of YAML markup such as comments and clearer type support.

For example, here is a minimal dashboard specification

dashboard:
  time:
    from: "2018-02-07T08:42:27.000Z"
    to: "2018-02-07T13:48:32.000Z"
  templating:
    - name: hostname
      type: query
      datasource: graphite
      query: node*
      refresh: true
  title: My great dashboard
  rows:
    - title: CPU Usage
      height: 250px
      panels:
          - title: CPU Usage for $hostname
            type: graph
            datasource: graphite
            targets:
              - target: $hostname.Cpu.cpu_prct_used

grafyaml can be very useful in continuous-integration environments. Users can specify their dashboards via a normal review process and tests can validate their correctness.

The tool can also take JSON manually exported from the Grafana interface and load it as a dashboard. This allows keeping dashboards that have been edited with the inbuilt editor externally version controlled.

A large number of examples are available in the OpenStack project-config repository, which are used to create dashboards on http://grafana.openstack.org.