Restart a VM by using Cfy Workflow

restart_a_VM_by_using_Cfy_Wf.py

# The following should be defined in your blueprint : 
node_templates:  # or node_types if you specify this on a type
  my_vm:
    type: ...
    ...
    interfaces:
      ...
      my_custom_interface:
        restart_linux_vm: scripts/restart_my_vm.sh
        restart_windows_vm: scripts/restart_my_vm.ps1
  ...      
        
plugins:
   utils-plugin:
      # This will make it run on the Cloudify manager VM
      executor: central_deployment_agent
      source: utils-plugin
 
workflows:
   restart_vms:
      mapping: utils-plugin.vms.tasks.restart_vms
      parameters:
         node_id: {}
         node_instance_id: null

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# Then this should be in a workflow (Python).
# It should be mapped to a Cloudify plugin whose code will run on the Cludify manager. 
@workflow
def restart_vms(node_id, node_instance_id=None, my_input=None ,**kwargs):
    node = ctx.get_node(current_node_id)
    for instance in node.instances:
        # This is for restarting Windows VMs :  
        instance.execute_operation("my_custom_interface.restart_windows_vm",kwargs={'process': {'args': [my_input]}})
        # This is for restarting Linux VMs :  
        instance.execute_operation("my_custom_interface.restart_linux_vm",kwargs={'process': {'args': [my_input]}})

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# In restart_my_vm.sh, you should have something like : 
ctx logger info "This is my_input $1"
COMMAND="sudo reboot"
ctx logger info "Running ${COMMAND}"
sudo nohup ${COMMAND} > /dev/null 2>&1 &

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# Then, this workflow can be invoked by running (will restart all the instances of my_vm: 
cfy executions start -d myDeploymentNa,e -w restart_vms -p '{ "node_id" :"my_vm"}

# This can be invoked by running (will restart only the instance whose id my_vm_a2345 and istance of my_vm node  : 
cfy executions start -d myDeploymentNa,e -w restart_vms -p '{ "node_id" :"my_vm", "node_instance_id": "my_vm_a2345"}