Ansible Plugin

The Ansible plugin enables you to configure Cloudify resources with Ansible and provides an agentless method for executing operations on hosts.

Playbook Run Operation

Similar to the Script Plugin and the Fabric Plugin, there is no one node type associated with the Ansible plugin. Instead, you modify existing node types to perform one or more of their lifecycle operations using the Ansible plugin and any additional inputs that you provide.

Operations

• ansible.cloudify_ansible.tasks.run
  • description: Execute the equivalent of ansible-playbook on the Ansible Playbook provided in the site_yaml_path input.
  • inputs:
    • playbook_source_path: A full path/URL that contain playbook specified in playbook_path.
    • playbook_path: A path to your site.yaml or main.yaml in your Ansible Playbook.
    • additional_playbook_files: A list of paths (relative to blueprint root) to include in the Playbook directory. Useful when overriding executor to host_agent.
    • remerge_sources: Update sources on target node.
    • save_playbook: Save the playbook after writing (do not delete temporary file).
    • sources: Your Inventory sources. Either YAML or a path to a file. If YAML, we will write the file and pass the temporary file to ansible-playbook command with -i flag. If a path, this argument is passed to ansible-playbook command with -i flag. If If not provided the inventory will be take from the sources runtime property.
    • run_data: Variable values.
    • options_config: Command-line options, such as tags or skip_tags. For more information on command-line options see Common Options. Remember, that Ansible CLI options interpolate with a dash -, whereas Cloudify YAML dictionary keys interpolate words with an underscore _. E.g. skip-tags becomes skip_tags.
    • ansible_env_vars: Environment variables in the executor environment.
    • debug_level: The debug level for the logging.
    • additional_args: Additional ansible-playbook CLI arguments.
    • extra_packages: List of python packages to install on controller virtual env before running the playbook. If the manager has no internet connection this feature cannot be used.
    • tags: A list of tags to execute in the order that you would like them executed.
    • auto_tags: We will generate a list of tags instead of using provided tags. (Boolean).

In addition, you can provide additional key-word args parameters to the AnsiblePlaybookFromFile class, such as options_config.

Inventory Sources

** There are also two methods for generating the sources parameter automatically, see using compute nodes and Relationships.

For all inventory sources, we require these parameters:

• ansible_host: The hostname or IP address of the host to SSH into.
• ansible_user: The username to SSH with.
• ansible_ssh_private_key_file: The private key file to SSH with.

In addition, we handle these parameters if provided (and highly recommend them):

• ansible_become: A boolean value, true or false whether to assume the user privileges.
• ansible_ssh_common_args: Additional arguments to the SSH command like, we suggest, '-o StrictHostKeyChecking=no'.

For more information on the sources format in YAML, see Ansible Inventory YAML.

Using Compute Nodes

If your operation is mapped on the lifecycle operation of a node template derived from cloudify.nodes.Compute, we will attempt to generate the sources parameter from the node properties.

Example Compute Node

Provision some component on a VM.

  compute_and_component:
    type: cloudify.nodes.Compute
    properties:
      ip: { get_input: ip }
      agent_config:
        install_method: none
        key: { get_input: private_key_path }
        user: { get_input: username }
    interfaces:
      cloudify.interfaces.lifecycle:
        start:
          implementation: ansible.cloudify_ansible.tasks.run
          inputs:
            site_yaml_path: resources/component/site.yaml

Using Relationships

Use the cloudify.ansible.relationships.connected_to_host relationship defined in the plugin to populate the sources parameter, if the target node is derived from cloudify.nodes.Compute.

Example Relationship Usage

  component:
    type: cloudify.nodes.Root
    interfaces:
      cloudify.interfaces.lifecycle:
        start:
          implementation: ansible.cloudify_ansible.tasks.run
          inputs:
            site_yaml_path: resources/component/site.yaml
            sources: { get_attribute: [ SELF, sources ] }
    relationships:
      - type: cloudify.ansible.relationships.connected_to_host
        target: compute

  compute:
    type: cloudify.nodes.Compute
    properties:
      ip: { get_input: ip }
      agent_config:
        install_method: none
        key: { get_input: private_key_path }
        user: { get_input: username }

More Examples

Basic usage with no special node or relationship type behavior.

  my_node:
    type: cloudify.nodes.Root
    interfaces:
      cloudify.interfaces.lifecycle:
        create:
          implementation: ansible.cloudify_ansible.tasks.run
          inputs:
            site_yaml_path: resources/my_ansible_playbook/site.yaml
            sources:
              webservers:
                hosts:
                  web:
                    ansible_host: { get_input: ip }
                    ansible_user: { get_input: username }
                    ansible_ssh_private_key_file: { get_input: private_key_path }
                    ansible_become: true
                    ansible_ssh_common_args: '-o StrictHostKeyChecking=no'

Passing run_data at runtime:

  component:
    type: cloudify.nodes.Root
    interfaces:
      cloudify.interfaces.lifecycle:
        create:
          implementation: ansible.cloudify_ansible.tasks.run
          inputs:
            site_yaml_path: resources/my_ansible_playbook/site.yaml
            sources:
              foo_group:
                hosts:
                  foo_host:
                    ansible_host: { get_input: ip }
                    ansible_user: { get_input: username }
                    ansible_ssh_private_key_file: { get_input: private_key_path }
                    ansible_become: true
                    ansible_ssh_common_args: '-o StrictHostKeyChecking=no'
            run_data:
              foo: bar

Node Types

cloudify.nodes.ansible.Executor

Execute playbook lifecycle as stand-alone node template.

• Operations

  • start: Executes playbook run.
  • delete: Executes cleanup.

cloudify.nodes.ansible.Playbook

Stores Ansible inputs in runtime properties.

• Workflows

  • reload_ansible_playbook: this workflow provide the capability to reload a playbook given a new playbook path that could be a full path or URL , using playbook_source_path and playbook_path combined along side node_ids or node_instance_ids that you want to reload

Example on how to use the reload workflow :

  hello-world:
    type: cloudify.nodes.ansible.Playbook
    properties:
      playbook_source_path: {get_input: playbook_source_path}
      playbook_path: {get_input: playbook_path}
      # save_playbook: true
    relationships:
      - type: cloudify.ansible.relationships.run_on_host
        target: vm
        source_interfaces:
          cloudify.interfaces.relationship_lifecycle:
            establish:
              inputs:
                sources:
                  vms:
                    hosts:
                      vm:
                        ansible_host: { get_attribute: [ vm, ip ] }
                        ansible_user: { get_input: agent_user }
                        ansible_ssh_private_key_file: { get_secret: agent_key_private }
                        ansible_become: True
                        ansible_ssh_common_args: -o StrictHostKeyChecking=no

we can trigger reload workflow like this, providing a new path to playbook :

cfy executions start reload_ansible_playbook -d {deployment_id} -p '{"playbook_source_path": "https://github.com/cloudify-community/blueprint-examples/releases/download/5.0.0-10/hello-world-example.zip","playbook_path":"apache2/playbook.yaml","node_ids": ["hello-world"]}'