A small python library for templating entities into useful Grafana dashboard.
Download this repo by cloning it with git or by downloading the archive.
Create a directory for logging.
mkdir /var/log/grafanizer
Edit ~/.grafanizerrc
datasource:
username: <your username>
api_key: <your api key>
url: https://monitoring.api.rackspacecloud.com/v1.0
pool_size: 100
template_dir: ~/templates
Make grafanizer executable
chmod +x grafanizer
Run all templates in the configured template directory:
./grafanizer
Validate all templates in the configured template directory:
./grafanizer --validate
Run just one specific template:
./grafanizer --file special.json
Grafanizer will look to ~/.grafanizerrc by default for configuration. The format of this file should be either yaml or json. The path to the configuration file can be specified by either:
setting the environment variable 'G_CONFIG_FILE'
export G_CONFIG_FILE=/somedir/somefile
or by providing the path to the command line
./grafanizer --g-config-file /somedir/somefile
In addition, individual configuration parameters can be overridden by either environment variables or by providing values to the command line.
config parameter | environment variable | command line argument | description |
---|---|---|---|
pool_size | G_POOL_SIZE | --g-pool-size | Integer number of green thread workers. Defaults to 100 |
template_dir | G_TEMPLATE_DIR | --g-template-dir | Path to directory containing templates. Defaults to ~/templates |
retries | G_RETRIES | --g-retries | Number of times to retry if error occurs. |
datasource:url | G_DATASOURCE_URL | --g-datasource-url | Url |
datasource:tenant | G_DATASOURCE_TENANT | --g-datasource-tenant | Tenant name |
datasource:username | G_DATASOURCE_USERNAME | --g-datasource-username | Username |
datasource:api_key | G_DATASOURCE_API_KEY | --g-datasource-api-key | Api key |