vmt-report adds Turbonomic specific handlers for the arbiter data handling package. This enabled Turbonomic API calls to be easily combined and manipulated into standardized output formats such as CSV, and JSON for data export or simple reporting needs.
pip install vmtreportvmt-report installs the appropriate vmtconnect and credstore handlers for
connecting to Turbonomic instances using vmt-connect. The JSON config controls most of the behavior of arbiter,
while the process worker handles data manipulation.
# Dump selected fields from all market actions
import arbiter
import vmtreport
import umsg
# source worker sub-process must accept 3 parameters
def actions(source, config, logger):
umsg.log(f"Retrieving data from {config['resource']}", logger=logger)
res = source.connect().get_actions()
fields = ['createTime', 'actionType', 'details']
return [{x: res[x]} for x in res if x in fields]
if __name__ == '__main__':
report = arbiter.Process('report.config', actions)
report.run(){
"sources": [
{
"handler": "vmtconnect",
"resource": "https://localhost",
"authentication": {
"type": "credstore",
"credential": "./credential.credstore",
"keyfile": "./turbo.keyfile"
}
}
],
"outputs": [
{
"handler": "CSV",
"resource": "file:/tmp/{timestamp}-actions.csv"
}
],
"notifications": [
{
"handler": "email",
"on_success": true,
"on_failure": true,
"options": {
"email": {
"from": ["no-reply@turbonomic.com"],
"to": ["user@example.com"],
"subject": "Actions Report for {date}",
"body": "Wasted Storage Report generated on {timestamp}.",
"body_error": "Errors happened: {errors}"
}
}
}
],
"logging": {
"mode": "DEBUG"
},
"process_timeout": 60
}The user guide is a good place to start. Detailed documentation is also available here.