awx/docs/prompting.md

## Launch-time Configurations / Prompting

Admins of templates in AWX have the option to allow fields to be over-written
by user-provided values at the time of launch. The job that runs will
then use the launch-time values in lieu of the template values.

Fields that can be prompted for, and corresponding "ask_" variables
(which exist on the template and must be set to `true` to enable prompting)
are the following.

##### Standard Pattern with Character Fields

 - `ask_<variable>_on_launch` allows use of
   - `<variable>`

The standard pattern applies to fields

 - `job_type`
 - `skip_tags`
 - `limit`
 - `diff_mode`
 - `verbosity`

##### Non-Standard Cases (Credentials Changing in Tower 3.3)

 - `ask_variables_on_launch` allows unrestricted use of
   - `extra_vars`
 - `ask_tags_on_launch` allows use of
   - `job_tags`
 - Enabled survey allows restricted use of
   - `extra_vars`, only for variables in survey (with qualifiers)
 - `ask_credential_on_launch` allows use of
   - `credential`
   - `vault_credential` / `extra_credentials` / `credentials`
     (version-dependent, see notes below)
 - `ask_inventory_on_launch` allows use of
   - `inventory`

Surveys are a special-case of prompting for variables - applying a survey to
a template white-lists variable names in the survey spec (requires the survey
spec to exist and `survey_enabled` to be true). On the other hand,
if `ask_variables_on_launch` is true, users can provide any variables in
extra_vars.

Prompting enablement for several types of credentials is controlled by a single
field. On launch, multiple types of credentials can be provided in their respective fields
inside of `credential`, `vault_credential`, and `extra_credentials`. Providing
a credential that requirements password input from the user on launch is
allowed, and the password must be provided along-side the credential, of course.

If the job is being spawned using a saved launch configuration, however,
all non-machine credential types are managed by a many-to-many relationship
called `credentials` relative to the launch configuration object.
When the job is spawned, the credentials in that relationship will be
sorted into the job's many-to-many credential fields according to their
type (cloud vs. vault).

### Manual use of Prompts

Fields enabled as prompts in the template can be used for the following
actions in the API.

 - POST to `/api/v2/job_templates/N/launch/`
   - can accept all prompt-able fields
 - POST to `/api/v2/workflow_job_templates/N/launch/`
   - can only accept extra_vars
 - POST to `/api/v2/system_job_templates/N/launch/`
   - can accept certain fields, with no user configuration

#### Data Rules for Prompts

For the POST action to launch, data for "prompts" are provided as top-level
keys in the request data. There is a special-case to allow a list to be
provided for `credentials`, which is otherwise not possible in AWX API design.
The list of credentials will either add extra credentials, or replace
existing credentials in the job template if a provided credential is of
the same type.

Values of `null` are not allowed, if the field is not being over-ridden,
the key should not be given in the payload. A 400 should be returned if
this is done.

Example:

POST to `/api/v2/job_templates/N/launch/` with data:

```json
{
  "job_type": "check",
  "limit": "",
  "credentials": [1, 2, 4],
  "extra_vars": {}
}
```

where the job template has credentials `[2, 3, 5]`, and the credential type
are the following:

 - 1 - gce
 - 2 - ssh
 - 3 - gce
 - 4 - aws
 - 5 - openstack

Assuming that the job template is configured to prompt for all these,
fields, here is what happens in this action:

 - `job_type` of the job takes the value of "check"
 - `limit` of the job takes the value of `""`, which means that Ansible will
   target all hosts in the inventory, even though the job template may have
   been targeted to a smaller subset of hosts
 - The job uses the `credentials` with primary keys 1, 2, 4, and 5
 - `extra_vars` of the job template will be used without any overrides

If `extra_vars` in the request data contains some keys, these will
be combined with the job template extra_vars dictionary, with the
request data taking precedence.

Provided credentials will replace any job template credentials of the same
exclusive type, but combine with any others. In the example, the job template
credential 3 was replaced with the provided credential 1, because a job
may only use 1 gce credential because these two credentials define the
same environment variables and configuration file.

### Saved Launch-time Configurations

Several other mechanisms which automatically launch jobs can apply prompts
at launch-time that are saved in advance.

 - Workflow nodes
 - Schedules
 - Job relaunch / re-scheduling

In the case of workflow nodes and schedules, the prompted fields are saved
directly on the model. Those models include Workflow Job Template Nodes,
Workflow Job Nodes (a copy of the first), and Schedules.

Jobs, themselves, have a configuration object stored in a related model,
and only used to prepare the correct launch-time configuration for subsequent
re-launch and re-scheduling of the job. To see these prompts for a particular
job, do a GET to `/api/v2/jobs/N/create_schedule/`.

#### Workflow Node Launch Configuration (Changing in Tower 3.3)

Workflow job nodes will combine `extra_vars` from their parent
workflow job with the variables that they provide in
`extra_data`, as well as artifacts from prior job runs. Both of these
sources of variables have higher precedence than the variables defined in
the node.

All prompts that a workflow node passes to a spawned job abides by the
rules of the related template.
That means that if the node's job template has `ask_variables_on_launch` set
to false with no survey, neither the workflow JT or the artifacts will take effect
in the job that is spawned.
If the node's job template has `ask_inventory_on_launch` set to false and
the node provides an inventory, this resource will not be used in the spawned
job. If a user creates a node that would do this, a 400 response will be returned.

Behavior before the 3.3 release cycle was less-restrictive with passing
workflow variables to the jobs it spawned, allowing variables to take effect
even when the job template was not configured to allow it.

#### Job Relaunch and Re-scheduling

Job relaunch does not allow user to provide any prompted fields at the time of relaunch.
Relaunching will re-apply all the prompts used at the
time of the original launch. This means that:

 - all prompts restrictions apply as-if the job was being launched with the
   current job template (even if it has been modified)
 - RBAC rules for prompted resources still apply

Those same rules apply when created a schedule from the
`/api/v2/schedule_job/` endpoint.

Jobs orphaned by a deleted job template can be relaunched,
but only with organization or system administrator privileges.

#### Credential Password Prompting Restriction

If a job template uses a credential that is configured to prompt for a
password at launch, these passwords cannot be saved for later as part
of a saved launch-time configuration. This is for security reasons.

Credential passwords _can_ be provided at time of relaunch.

### Validation

The general rule for validation:

> When a job is created from a template, only fields specifically configured
to be prompt-able are allowed to differ from the template to the job.

In other words, if no prompts (including surveys) are configured, a job
must be identical to the template it was created from, for all fields
that become `ansible-playbook` options.

#### Disallowed Fields

If a manual launch provides fields not allowed by the rules of the template,
the behavior is:

 - Launches without those fields, ignores fields
 - lists fields in `ignored_fields` in POST response

#### Data Type Validation

All fields provided on launch, or saved in a launch-time configuration
for later, should be subject to the same validation that they would be
if saving to the job template model. For example, only certain values of
`job_type` are valid.

Surveys impose additional restrictions, and violations of the survey
validation rules will prevent launch from proceeding.

#### Fields Required on Launch

Failing to provide required variables also results in a validation error
when manually launching. It will also result in a 400 error if the user
fails to provide those fields when saving a WFJT node or schedule.

#### Broken Saved Configurations

If a job is spawned from schedule or a workflow in a state that has rejected
prompts, this should be logged, but the job should still be launched, without
those prompts applied.

If the job is spawned from a schedule or workflow in a state that cannot be
launched (typical example is a null `inventory`), then the job should be
created in an "error" state with `job_explanation` containing a summary
of what happened.

### Scenarios to have Coverage for

 - variable precedence
   - schedule has survey answers for WFJT survey
   - WFJT has node that has answers to JT survey
   - on launch, the schedule answers override all others
 - survey password durability
   - schedule has survey password answers from WFJT survey
   - WFJT node has answers to different password questions from JT survey
   - final job it spawns has both answers encrypted
 - POST to associate credential to WFJT node
   - requires admin to WFJT and execute to JT
   - this is in addition to the restriction of `ask_credential_on_launch`
 - credentials merge behavior
   - JT has machine & cloud credentials, set to prompt for credential on launch
   - schedule for JT provides no credentials
   - spawned job still uses all JT credentials
 - credentials deprecated behavior
   - manual launch providing `"extra_credentials": []` should launch with no job credentials
   - such jobs cannot have schedules created from them