15. Job Templates¶

15.1. Create a Job Template¶

To create a new job template:

1. Click the button then select Job Template from the menu list.

2. Enter the appropriate details into the following fields:

• Name: Enter a name for the job.
• Description: Enter an arbitrary description as appropriate (optional).
• Job Type:

• Run: Execute the playbook when launched, running Ansible tasks on the selected hosts.
• Check: Perform a “dry run” of the playbook and report changes that would be made without actually making them. Tasks that do not support check mode will be skipped and will not report potential changes.

• Prompt on Launch – If selected, even if a default value is supplied, you will be prompted upon launch to choose a job type of run or check.

Note

More information on job types can be found in the Playbooks: Special Topics section of the Ansible documentation.

• Inventory: Choose the inventory to be used with this job template from the inventories available to the currently logged in Tower user.

• Prompt on Launch – If selected, even if a default value is supplied, you will be prompted upon launch to choose an inventory to run this job template against.

• Project: Choose the project to be used with this job template from the projects available to the currently logged in Tower user.
• Playbook: Choose the playbook to be launched with this job template from the available playbooks. This menu is automatically populated with the names of the playbooks found in the project base path for the selected project. For example, a playbook named “jboss.yml” in the project path appears in the menu as “jboss”.
• Credential: Click the button to open a separate window. Choose the credential from the available options to be used with this job template. Use the drop-down menu list to filter by credential type if the list is extensive.

• Prompt on Launch: If selected, upon launching a job template that has a default machine credential, you will not be able to remove the default machine credential in the Prompt dialog without replacing it with another machine credential before it can launch. Alternatively, you can add more credentials as you see fit. Below is an example of such a message:

  

• Forks: The number of parallel or simultaneous processes to use while executing the playbook. A value of zero uses the Ansible default setting, which is 5 parallel processes unless overridden in /etc/ansible/ansible.cfg.
• Limit: A host pattern to further constrain the list of hosts managed or affected by the playbook. Multiple patterns can be separated by colons (”:”). As with core Ansible, “a:b” means “in group a or b”, “a:b:&c” means “in a or b but must be in c”, and “a:!b” means “in a, and definitely not in b”.

• Prompt on Launch: If selected, even if a default value is supplied, you will be prompted upon launch to choose a limit.

  Note

  For more information and examples refer to Patterns in the Ansible documentation.

• Verbosity: Control the level of output Ansible produces as the playbook executes. Set the verbosity to any of Default, Verbose, or Debug. This only appears in the “details” report view. Verbose logging includes the output of all commands. Debug logging is exceedingly verbose and includes information on SSH operations that can be useful in certain support instances. Most users do not need to see debug mode output.

  Warning

  Verbosity 5 causes Tower to block heavily when jobs are running, which could delay reporting that the job has finished (even though it has) and can cause the browser tab to lock up.

• Prompt on Launch: If selected, even if a default value is supplied, you will be prompted upon launch to choose a verbosity.

• Job Tags: Provide a comma-separated list of playbook tags to specify what parts of the playbooks should be executed. For more information and examples refer to Tags in the Ansible documentation.

• Prompt on Launch – If selected, even if a default value is supplied, you will be prompted upon launch to choose a job tag.

• Skip Tags: Provide a comma-separated list of playbook tags to skip certain tasks or parts of the playbooks to be executed. For more information and examples refer to Tags in the Ansible documentation.

• Prompt on Launch – If selected, even if a default value is supplied, you will be prompted upon launch to choose tag(s) to skip.

• Labels: Supply optional labels that describe this job template, such as “dev” or “test”. Labels can be used to group and filter job templates and completed jobs in the Tower display.

• Labels are created when they are added to the Job Template. Labels are associated to a single Organization using the Project that is provided in the Job Template. Members of the Organization can create labels on a Job Template if they have edit permissions (such as admin role).

• Once the Job Template is saved, the labels appear in the Job Templates overview.

• Click on the “x” beside a label to remove it. When a label is removed, and is no longer associated with a Job or Job Template, the label is permanently deleted from the list of Organization labels.

• Jobs inherit labels from the Job Template at the time of launch. If a label is deleted from a Job Template, it is also deleted from the Job.

  

• Instance Groups: Click the button to open a separate window. Choose the instance groups on which you want to run this job template. If the list is extensive, use the search to narrow the options.
• Show Changes: Allows you to see the changes made by Ansible tasks.

• Prompt on Launch – If selected, even if a default value is supplied, you will be prompted upon launch to choose whether or not to show changes.

• Options: Supply optional labels that describe this job template, such as “dev” or “test”. Labels can be used to group and filter job templates and completed jobs in the Tower display.

• Enable Privilege Escalation: If enabled, run this playbook as an administrator. This is the equivalent of passing the --become option to the ansible-playbook command.
• Allow Provisioning Callbacks: Enable a host to call back to Tower via the Tower API and invoke the launch of a job from this job template. Refer to Provisioning Callbacks for additional information.
• Enable Concurrent Jobs: Allow jobs in the queue to run simultaneously if not dependent on one another. Refer to Ansible Tower Capacity Determination and Job Impact for additional information.
• Use Fact Cache: When enabled, Tower will activate an Ansible fact cache plugin for all hosts in an inventory related to the job running.

• Extra Variables:

• Pass extra command line variables to the playbook. This is the “-e” or “–extra-vars” command line parameter for ansible-playbook that is documented in the Ansible documentation at Passing Variables on the Command Line.

• Provide key/value pairs using either YAML or JSON. These variables have a maximum value of precedence and overrides other variables specified elsewhere. An example value might be:

  git_branch: production
  release_version: 1.5
  

For more information about extra variables, refer to Extra Variables.

• Prompt on Launch – If selected, even if a default value is supplied, you will be prompted upon launch to choose command line variables.

3. When you have completed configuring the details of the job template, select Save.

Saving the template does not exit the job template page but remains on the Job Template Details view for further editing, if necessary. After saving the template, you can now proceed with adding more attributes about the template, such as permissions, notifications, view completed jobs, and add a survey (if the job type is not a scan).

You can verify the template is saved when the newly created template appears on the list of templates at the bottom of the screen.

15.2. Add Permissions¶

The Permissions tab allows you to review, grant, edit, and remove associated permissions for users as well as team members. To assign permissions to a particular user for this resource:

1. Click the Permissions tab.
2. Click the button to open the Add Users/Teams window.

3. Specify the users or teams that will have access then assign them specific roles:

1. Click to select one or multiple checkboxes beside the name(s) of the user(s) or team(s) to select them.

Note

You can select multiple users and teams at the same time by navigating between the Users and Teams tabs without saving.

After selections are made, the window expands to allow you to select a role from the drop-down menu list for each user or team you chose.

The example above shows options associated with inventories. Different resources have different options available:

• Admin allows read, run, and edit privileges (applies to all resources)
• Use allows use of a resource in a job template (applies all resources except job templates)
• Update allows updating of project via the SCM Update (applies to projects and inventories)
• Ad Hoc allows use of Ad Hoc commands (applies to inventories)
• Execute allows launching of a job template (applies to job templates)

Tip

Use the Key button in the roles selection pane to display a description of each of the roles.

2. Select the role to apply to the selected user or team.

Note

You can assign roles to multiple users and teams by navigating between the Users and Teams tabs without saving.

4. Review your role assignments for each user and team.

5. Click Save when done, and the Add Users/Teams window closes to display the updated roles assigned for each user and team.

   

To remove Permissions for a particular user, click the Disassociate (x) button next to its resource.

This launches a confirmation dialog, asking you to confirm the disassociation.

15.3. Work with Notifications¶

Clicking the Notifications tab allows you to review any notification integrations you have setup. If none are setup, the following screen displays with links to create one:

Follow the on-screen links to create a notification template. Refer to Notifications for more information.

15.4. View Completed Jobs¶

The Completed Jobs tab provides details of how this job template has been run. It provides you with the ID, Name, Job Type, when it completed, and allows you to relaunch or delete the job. You can filter the list of completed jobs using the job ID, Name, Type, or if the Job Failed.

15.5. Scheduling¶

Access the schedules for a particular job template from the Schedules tab. Otherwise, you can launch the scheduled jobs list via the button. Scheduling from the job template page opens the Schedules page.

This page displays a list of the schedules that are currently available for the selected Job Template. The schedule list may be sorted and searched by any of the following:

• Name: Clicking the schedule name opens the Edit Schedule dialog
• First Run: The first scheduled run of this task
• Next Run: The next scheduled run of this task
• Final Run: If the task has an end date, this is the last run of the task

Buttons located in the upper right corner of the Schedules screen provide the following actions:

• View Activity Stream
• Add a new schedule

15.6. Surveys¶

Job types of Run or Check will provide a way to set up surveys in the Job Template creation or editing screens. Surveys set extra variables for the playbook similar to ‘Prompt for Extra Variables’ does, but in a user-friendly question and answer way. Surveys also allow for validation of user input. Click the button to create a survey.

Use cases for surveys are numerous. An example might be if operations wanted to give developers a “push to stage” button they could run without advanced Ansible knowledge. When launched, this task could prompt for answers to questions such as, “What tag should we release?”

Many types of questions can be asked, including multiple-choice questions.

15.6.1. Create a Survey¶

To create a survey:

1. Click on the button to bring up the Add Survey window.

Use the ON/OFF toggle button at the top of the screen to quickly activate or deactivate this survey prompt.

2. A survey can consist of any number of questions. For each question, enter the following information:

• Name: The question to ask the user
• Description: (optional) A description of what’s being asked of the user.
• Answer Variable Name: The Ansible variable name to store the user’s response in. This is the variable to be used by the playbook. Variable names cannot contain spaces.
• Answer Type: Choose from the following question types.
  • Text: A single line of text. You can set the minimum and maximum length (in characters) for this answer.
  • Textarea: A multi-line text field. You can set the minimum and maximum length (in characters) for this answer.
  • Password: Responses are treated as sensitive information, much like an actual password is treated. You can set the minimum and maximum length (in characters) for this answer.
  • Multiple Choice (single select): A list of options, of which only one can be selected at a time. Enter the options, one per line, in the Multiple Choice Options box.
  • Multiple Choice (multiple select): A list of options, any number of which can be selected at a time. Enter the options, one per line, in the Multiple Choice Options box.
  • Integer: An integer number. You can set the minimum and maximum length (in characters) for this answer.
  • Float: A decimal number. You can set the minimum and maximum length (in characters) for this answer.
• Default Answer: The default answer to the question. This value is pre-filled in the interface and is used if the answer is not provided by the user.
• Required: Whether or not an answer to this question is required from the user.

3. Once you have entered the question information, click the button to add the question.

A stylized version of the survey is presented in the Preview pane. For any question, you can click on the Edit button to edit the question, the Delete button to delete the question, and click and drag on the grid icon to rearrange the order of the questions.

4. Return to the left pane to add additional questions.
5. When done, click Save to save the survey.

15.7. Launch a Job Template¶

A major benefit of Ansible Tower is the push-button deployment of Ansible playbooks. You can easily configure a template within Tower to store all parameters you would normally pass to the ansible-playbook on the command line–not just the playbooks, but the inventory, credentials, extra variables, and all options and settings you can specify on the command line.

Easier deployments drive consistency, by running your playbooks the same way each time, and allow you to delegate responsibilities–even users who aren’t Ansible experts can run Tower playbooks written by others.

To launch a job template:

1. Access the job template from the Templates navigational link or while in the Job Template Details view, scroll to the bottom to access it from a list of templates.

2. Click the button.

A job may require additional information to run. The following data may be requested at launch:

• Credentials that were setup
• Passwords or passphrases that have been set to Ask
• A survey, if one has been configured for the job templates
• Extra variables, if requested by the job template

Below is an example job launch that prompts for Job Tags, and runs the example survey created in Surveys.

Along with any extra variables set in the job template and survey, Tower automatically adds the following variables to the job environment:

• tower_job_id: The Job ID for this job run
• tower_job_launch_type: The description to indicate how the job was started:
  • manual: Job was started manually by a user.
  • relaunch: Job was started via relaunch.
  • callback: Job was started via host callback.
  • scheduled: Job was started from a schedule.
  • dependency: Job was started as a dependency of another job.
  • workflow: Job was started from a workflow job.
  • sync: Job was started from a project sync.
  • scm: Job was created as an Inventory SCM sync.
• tower_job_template_id: The Job Template ID that this job run uses
• tower_job_template_name: The Job Template name that this job uses
• tower_user_id: The user ID of the Tower user that started this job. This is not available for callback or scheduled jobs.
• tower_user_name: The user name of the Tower user that started this job. This is not available for callback or scheduled jobs.
• tower_schedule_id: If applicable, the ID of the schedule that launched this job
• tower_schedule_name: If applicable, the name of the schedule that launched this job
• tower_workflow_job_id: If applicable, the ID of the workflow job that launched this job
• tower_workflow_job_name: If applicable, the name of the workflow job that launched this job. Note this is also the same as the workflow job template.

All variables are also given starting with an “awx” prefix, for example, awx_job_id.

Upon launch, Tower automatically redirects the web browser to the Job Status page for this job under the Jobs tab.

15.8. Copy a Job Template¶

Ansible Tower 3.0 introduced the ability to copy a Job Template. If you choose to copy Job Template, it does not copy any associated schedule, notifications, or permissions. Schedules and notifications must be recreated by the user or admin creating the copy of the Job Template. The user copying the Job Template will be granted the admin permission, but no permissions are assigned (copied) to the Job Template.

1. Access the job template that you want to copy from the Templates navigational link or while in the Job Template Details view, scroll to the bottom to access it from a list of templates.

2. Click the button.

A new template opens with the name of the template from which you copied and a timestamp.

3. Replace the contents of the Name field with a new name, and provide or modify the entries in the other fields to complete this page.
4. Click Save when done.

15.9. Scan Job Templates¶

Scan jobs are no longer supported starting with Ansible Tower 3.2. This system tracking feature was used as a way to capture and store facts as historical data. Facts are now stored in Tower via fact caching. For more information, see Fact Caching.

If you have Job Template Scan Jobs in your system prior to Ansible Tower 3.2, they have been converted to type run (like normal job templates) and retained their associated resources (i.e. inventory, credential). Job Template Scan Jobs that do not have a related project are assigned a special playbook by default, or you can specify a project with your own scan playbook. A project was created for each organization that points to https://github.com/ansible/tower-fact-modules and the Job Template was set to the playbook, https://github.com/ansible/tower-fact-modules/blob/master/scan_facts.yml.

15.9.1. Fact Scan Playbooks¶

The scan job playbook, scan_facts.yml, contains invocations of three fact scan modules - packages, services, and files, along with Ansible’s standard fact gathering. The scan_facts.yml playbook file looks like the following:

- hosts: all
  vars:
    scan_use_checksum: false
    scan_use_recursive: false
  tasks:
    - scan_packages:
    - scan_services:
    - scan_files:
        paths: '{{ scan_file_paths }}'
        get_checksum: '{{ scan_use_checksum }}'
        recursive: '{{ scan_use_recursive }}'
      when: scan_file_paths is defined

The scan_files fact module is the only module that accepts parameters, passed via extra_vars on the scan job template.

scan_file_paths: '/tmp/'
scan_use_checksum: true
scan_use_recursive: true

• The scan_file_paths parameter may have multiple settings (such as /tmp/ or /var/log).
• The scan_use_checksum and scan_use_recursive parameters may also be set to false or omitted. An omission is the same as a false setting.

Scan job templates should enable become and use credentials for which become is a possibility. You can enable become by checking the Enable Privilege Escalation from the Options menu:

Note

If you maintained scan job templates in Ansible Tower 3.1.x and then upgrade to Ansible Tower 3.2, a new “Tower Fact Scan - Default” project is automatically created for you. This project contains the old scan playbook previously used in earlier versions of Ansible Tower.

---

- name: Get Ubuntu 15, 16, and on ready
 hosts: all
 sudo: yes
 gather_facts: no

 tasks:

 - name: install python-simplejson
   raw: sudo apt-get -y update
   raw: sudo apt-get -y install python-simplejson
   raw: sudo apt-get install python-apt

---

- name: Get Fedora ready
 hosts: all
 sudo: yes
 gather_facts: no

 tasks:

 - name: install python-simplejson
   raw: sudo dnf -y update
   raw: sudo dnf -y install python-simplejson
   raw: sudo dnf -y install rpm-python

- hosts: all
  gather_facts: false
  tasks:
    - scan_foo:

def main():
    module = AnsibleModule(
        argument_spec = dict())

    foo = [
      {
        "hello": "world"
      },
      {
        "foo": "bar"
      }
    ]
    results = dict(ansible_facts=dict(foo=foo))
    module.exit_json(**results)

main()

[
   {
     "hello": "world"
   },
   {
     "foo": "bar"
   }
 ]

15.10. Fact Caching¶

Tower can store and retrieve facts on a per-host basis through an Ansible Fact Cache plugin. This behavior is configurable on a per-job template basis. Fact caching is turned off by default but can be enabled to serve fact requests for all hosts in an inventory related to the job running. This allows you to use job templates with --limit while still having access to the entire inventory of host facts. A global timeout setting that the plugin enforces per-host, can be specified (in seconds) through the Configure Tower interface under the Jobs tab:

Upon launching a job that uses fact cache (use_fact_cache=True), Tower will inject into memcached, all ansible_facts associated with each host in the inventory associated with the job. A list of all hosts in the inventory is also injected into memcached with the inventory_id key and host name values. The Ansible Fact Cache plugin that ships with Ansible Tower will only be enabled on jobs with fact cache enabled (use_fact_cache=True). The fact cache plugin running in Ansible will connect to the same memcached instance.

When a job finishes running that has fact cache enabled (use_fact_cache=True), Tower will go through memcached and retrieve all records for the hosts in the inventory. Any records with update times newer than the currently stored facts per-host will be saved to the database.

Tower will always inject the host ansible_facts into memcached. The cached values may or may not be displayed, based on the per-host newly-stored facts and the timeout value specified for the global fact cache setting.

New and changed facts will be logged via Tower’s logging facility. Specifically, to the system_tracking namespace or logger. The logging payload will include the fields:

• host_name
• inventory_id
• ansible_facts

where ansible_facts is a dictionary of all Ansible facts for host_name in Tower inventory, inventory_id.

15.10.1. Benefits of Fact Caching¶

Fact caching saves a significant amount of time over running fact gathering. If you have a playbook in a job that runs against a thousand hosts and forks, you could easily spend 10 minutes gathering facts across all of those hosts. But if you run a job on a regular basis, the first run of it caches these facts and the next run will just pull them from the database. This cuts the runtime of jobs against large inventories, including Smart Inventories, by an enormous magnitude.

Note

Do not modify the tower.cfg file to apply fact caching. Custom fact caching could conflict with Tower’s fact caching feature. It is recommended to use the fact caching module that comes with Ansible Tower. Fact caching is not supported for isolated nodes.

You can choose to use cached facts in your job by enabling it in the Options field of the Job Templates window.

To clear facts, you need to run the Ansible clear_facts meta task. Below is an example playbook that uses the Ansible clear_facts meta task.

- hosts: all
  gather_facts: false
  tasks:
    - name: Clear gathered facts from all currently targeted hosts
      meta: clear_facts

The API endpoint for fact caching can be found at: http://<Tower server name>/api/v2/hosts/x/ansible_facts.

15.11. Utilizing Cloud Credentials¶

Cloud Credentials can be used when syncing a respective cloud inventory. Cloud Credentials may also be associated with a Job Template and included in the runtime environment for use by a playbook. The use of Cloud Credentials was introduced in Ansible Tower version 2.4.0.

clouds:
  devstack:
    auth:
      auth_url: http://devstack.yoursite.com:5000/v2.0/
      username: admin
      password: your_password_here
      project_name: demo

- hosts: all
  gather_facts: false
  vars:
    config_file: "{{ lookup('env', 'OS_CLIENT_CONFIG_FILE') }}"
    nova_tenant_name: demo
    nova_image_name: "cirros-0.3.2-x86_64-uec"
    nova_instance_name: autobot
    nova_instance_state: 'present'
    nova_flavor_name: m1.nano

    nova_group:
      group_name: antarctica
      instance_name: deceptacon
      instance_count: 3
  tasks:
    - debug: msg="{{ config_file }}"
    - stat: path="{{ config_file }}"
      register: st
    - include_vars: "{{ config_file }}"
      when: st.stat.exists and st.stat.isreg

    - name: "Print out clouds variable"
      debug: msg="{{ clouds|default('No clouds found') }}"

    - name: "Setting nova instance state to: {{ nova_instance_state }}"
      local_action:
        module: nova_compute
        login_username: "{{ clouds.devstack.auth.username }}"
        login_password: "{{ clouds.devstack.auth.password }}"

- vsphere_guest:
    vcenter_hostname: "{{ lookup('env', 'VMWARE_HOST') }}"
    username: "{{ lookup('env', 'VMWARE_USER') }}"
    password: "{{ lookup('env', 'VMWARE_PASSWORD') }}"
    guest: newvm001
    from_template: yes
    template_src: centosTemplate
    cluster: MainCluster
    resource_pool: "/Resources"
    vm_extra_config:
      folder: MyFolder

15.12. Provisioning Callbacks¶

Provisioning callbacks are a feature of Tower that allow a host to initiate a playbook run against itself, rather than waiting for a user to launch a job to manage the host from the tower console. Please note that provisioning callbacks are only used to run playbooks on the calling host. Provisioning callbacks are meant for cloud bursting, ie: new instances with a need for client to server communication for configuration (such as transmitting an authorization key), not to run a job against another host. This provides for automatically configuring a system after it has been provisioned by another system (such as AWS auto-scaling, or a OS provisioning system like kickstart or preseed) or for launching a job programmatically without invoking the Tower API directly. The Job Template launched only runs against the host requesting the provisioning.

Frequently this would be accessed via a firstboot type script, or from cron.

To enable callbacks, check the Allow Provisioning Callbacks checkbox in the Job Template. This displays the Provisioning Callback URL for this job template.

Callbacks also require a Host Config Key, to ensure that foreign hosts with the URL cannot request configuration. Click the button to create a unique host key for this callback, or enter your own key. The host key may be reused across multiple hosts to apply this job template against multiple hosts. Should you wish to control what hosts are able to request configuration, the key may be changed at any time.

To callback manually via REST, look at the callback URL in the UI, which is of the form:

http://<Tower server name>/api/v2/job_templates/1/callback/

The ‘1’ in this sample URL is the job template ID in Tower.

The request from the host must be a POST. Here is an example using curl (all on a single line):

root@localhost:~$ curl -k -f -i -H 'Content-Type:application/json' -XPOST -d '{"host_config_key": "cfbaae23-81c0-47f8-9a40-44493b82f06a"}'
                  https://<Tower server name>/api/v2/job_templates/1/callback/

The requesting host must be defined in your inventory for the callback to succeed. If Tower fails to locate the host either by name or IP address in one of your defined inventories, the request is denied. When running a Job Template in this way, the host initiating the playbook run against itself must be in the inventory. If the host is missing from the inventory, the Job Template will fail with a “No Hosts Matched” type error message.

Successful requests result in an entry on the Jobs tab, where the results and history can be viewed.

While the callback can be accessed via REST, the suggested method of using the callback is to use one of the example scripts that ships with Tower - /usr/share/awx/request_tower_configuration.sh (Linux/UNIX) or /usr/share/awx/request_tower_configuration.ps1 (Windows). Usage is described in the source code of the file by passing the -h flag, as shown below:

./request_tower_configuration.sh -h
Usage: ./request_tower_configuration.sh <options>

Request server configuration from Ansible Tower.

OPTIONS:
   -h      Show this message
   -s      Tower server (e.g. https://tower.example.com) (required)
   -k      Allow insecure SSL connections and transfers
   -c      Host config key (required)
   -t      Job template ID (required)
   -e      Extra variables
   -s      Number of seconds between retries (default: 60)

This script is intelligent in that it knows how to retry commands and is therefore a more robust way to use callbacks than a simple curl request. As written, the script retries once per minute for up to ten minutes.

Most likely you will use callbacks with dynamic inventory in Tower, such as pulling cloud inventory from one of the supported cloud providers. In these cases, along with setting Update On Launch, be sure to configure an inventory cache timeout for the inventory source, to avoid hammering of your Cloud’s API endpoints. Since the request_tower_configuration.sh script polls once per minute for up to ten minutes, a suggested cache invalidation time for inventory (configured on the inventory source itself) would be one or two minutes.

While we recommend against running the request_tower_configuration.sh script from a cron job, a suggested cron interval would be perhaps every 30 minutes. Repeated configuration can be easily handled by scheduling in Tower, so the primary use of callbacks by most users is to enable a base image that is bootstrapped into the latest configuration upon coming online. To do so, running at first boot is a better practice. First boot scripts are just simple init scripts that typically self-delete, so you would set up an init script that called a copy of the request_tower_configuration.sh script and make that into an autoscaling image.

'{"extra_vars": {"variable1":"value1","variable2":"value2",...}}'

root@localhost:~$ curl -f -H 'Content-Type: application/json' -XPOST \
                 -d '{"host_config_key": "5a8ec154832b780b9bdef1061764ae5a", "extra_vars": "{\"foo\": \"bar\"}"}' \
                 http://<Tower server name>/api/v2/job_templates/1/callback

tower-cli job_template callback --host-config-key="5a8ec154832b780b9bdef1061764ae5a" --extra-vars="foo: bar"

15.13. Extra Variables¶

When you pass survey variables, they are passed as extra variables (extra_vars) within Tower. This can be tricky, as passing extra variables to a job template (as you would do with a survey) can override other variables being passed from the inventory and project.

For example, say that you have a defined variable for an inventory for debug = true. It is entirely possible that this variable, debug = true, can be overridden in a job template survey.

To ensure that the variables you need to pass are not overridden, ensure they are included by redefining them in the survey. Keep in mind that extra variables can be defined at the inventory, group, and host levels.

Here are some simplified examples of extra_vars in YAML and JSON formats:

The configuration in YAML format:

launch_to_orbit: true
satellites:
  - sputnik
  - explorer
  - satcom

The configuration in JSON format:

{
  "launch_to_orbit": true,
  "satellites": ["sputnik", "explorer", "satcom"]
}

The following table notes the behavior (hierarchy) of variable precedence in Ansible Tower as it compares to variable precedence in Ansible.

Ansible Tower Variable Precedence Hierarchy (last listed wins)