simple_vm_deploy_microk8s.yml

---
- name: Simple vm deploy microk8s single node  #edit vmname variable - use -l filter to specify cluster vs. full inventory
  hosts: edge
  vars:
    - vmname: microk8s-
  connection: local
  gather_facts: false
  strategy: host_pinned # free  #allows each cluster to start next task before all clusters have finished current task
  environment:  #if set here - hypercore modules will automatically use this for each remote cluster - avoiding need to specify cluster_instance for each test
    SC_HOST: "https://{{ inventory_hostname }}"
    SC_USERNAME: "{{ scale_user }}"
    SC_PASSWORD: "{{ scale_pass }}"
    
  tasks:
    - name: generate 5 digit random character password using lower case ans set as variable named ran5
      ansible.builtin.set_fact:
        ran5: "{{ lookup('password', '/dev/null chars=ascii_lowercase,digits length=5') }}" 

    
    - name: Ubuntu20_04 template - Ubuntu 20.04 - import if not present # used to clone and cloud-init target VM
      scale_computing.hypercore.vm_import:
        cluster_instance:
          host: "https://{{inventory_hostname }}"
          username: "{{scale_user}}"
          password: "{{scale_pass}}"
        vm_name: ubuntu20_04
        http_uri:
          path: 'https://github.com/ddemlow/RestAPIExamples/raw/master/ubuntu20_04-cloud-init'
          file_name: ubuntu20_04-cloud-init.xml
#      until: ubuntu20_04.msg is search("import complete") #doesnt' check if vm already exists
      retries: 5
      delay: 1
      ignore_errors: false  # import errors are not uncommon depdending on network connection to smb / https source
      register: ubuntu20_04
 

    - name: Clone and configure ad hoc "{{ vmname }} {{ran5}}"
      scale_computing.hypercore.vm_clone:
        cluster_instance:
          host: "https://{{inventory_hostname }}"
          username: "{{scale_user}}"
          password: "{{scale_pass}}"
        vm_name: "{{vmname}}{{ran5}}"
        source_vm_name: ubuntu20_04
        tags:
          - temp
        cloud_init:
          user_data: |
            #cloud-config
            password: "password"
            chpasswd: { expire: False }
            ssh_pwauth: True
            ssh_authorized_keys: # Add your ssh public key for publickey authentication
              - ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAIDihWWhjoPj8KVLtdLDwNJQ71zi9An0iUFjefRWu2Eju ddemlow@scalecomputing.com
            disable_root: false # allow ssh root login
            ssh_pwauth: True
            ssh_import_id:  gh:ddemlow
            packages: [snapd, qemu-guest-agent, ansible, git, unzip]
            snap:
              commands:
                00: snap install microk8s
            bootcmd:
              - [ sh, -c, 'sudo echo GRUB_CMDLINE_LINUX="nomodeset" >> /etc/default/grub' ]
              - [ sh, -c, 'sudo echo GRUB_GFXPAYLOAD_LINUX="1024x768" >> /etc/default/grub' ]
              - [ sh, -c, 'sudo echo GRUB_DISABLE_LINUX_UUID=true >> /etc/default/grub' ]
              - [ sh, -c, 'sudo update-grub' ]
            runcmd:
              - [ systemctl, restart, --no-block, qemu-guest-agent ]
              - snap install microk8s --classic
              # Add the default user to the microk8s group
              - adduser ubuntu microk8s
              - chown -f -R ubuntu ~/.kube

              # Enable MicroK8s addons
              - microk8s enable dns dashboard storage host-access

              # Wait for MicroK8s to become available
              - microk8s status --wait-ready

              # Make kubectl available to the default user
              - snap alias microk8s.kubectl kubectl

              #helm repo add
              - microk8s helm registry login --username='robot-edgelabs-clients' --password='LWb7bsa9msWphOy8brbXu6XJUlzXhfSV' registry.edgelabs.ai
              - microk8s kubectl create secret docker-registry regcred --docker-server=registry.edgelabs.ai --docker-username=robot-edgelabs-clients --docker-password='LWb7bsa9msWphOy8brbXu6XJUlzXhfSV'
              - microk8s helm install ai-sensor --set api.key='id1756317079|IWz602oCKaOuwBlhwEo8' oci://registry.edgelabs.ai/charts/ai-sensor

              #install portainer agent and register
              - PORTAINER_EDGE_ID=$(hostname)
              - 'curl https://downloads.portainer.io/ee2-19/portainer-edge-agent-setup.sh | bash -s -- "$PORTAINER_EDGE_ID" "aHR0cHM6Ly8yMC44OC4yMi4yMjc6OTQ0M3wyMC44OC4yMi4yMjc6ODAwMHwydXByOUtuYTd6ZHBNWExNMm9meDNubHZEOHh2THpLVjN5WnlXM1lsWFdvPXww" "1" "" "EDGE_ASYNC=1,PORTAINER_GROUP=3"'
              - echo "cloud-init complete" > /dev/tty
            write_files:
            - content: "{{ inventory_hostname }}"
              path: /clusterip.txt
          meta_data: |
            dsmode: local
            local-hostname: "{{ vmname }}{{ ran5 }}"

    - name: Disk desired configuration for "{{ vmname }}{{ran5}}"
      scale_computing.hypercore.vm_disk:
        cluster_instance:
          host: "https://{{inventory_hostname }}"
          username: "{{scale_user}}"
          password: "{{scale_pass}}"
        vm_name: "{{ vmname }}{{ran5}}"
        items:
          - disk_slot: 0
            type: virtio_disk
            size: "{{ '300 GB' | human_to_bytes }}" # 50GB | human to bytes results in 53.7GB VSD in Hypercore
        state: present

    - name: Vm desired configuration and state for "{{ vmname }}{{ran5}}"
      scale_computing.hypercore.vm_params:
        cluster_instance:
          host: "https://{{inventory_hostname }}"
          username: "{{scale_user}}"
          password: "{{scale_pass}}"
        vm_name: "{{vmname}}{{ran5}}"
        memory: "{{ '4 GB' | human_to_bytes }}"
        description:
        tags:
          - ansible
          - "{{ site_name }}"
          - ansible_group__microk8s # this will create tag used by hypercore inventory plugin when executing towards VM hosts
          - SERIAL
        vcpu: 4
        power_state: start