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Writing a hello world HOT template
HOT is a new template format meant to replace the
CloudFormation-compatible format (CFN) as the native format supported by
the Orchestration module over time. This guide is targeted towards
template authors and explains how to write HOT templates based on
examples. A detailed specification of HOT can be found at hot_spec
.
This section gives an introduction on how to write HOT templates, starting from very basic steps and then going into more and more detail by means of examples.
A most basic template
The most basic template you can think of contains only a single resource definition using only predefined properties. For example, the template below could be used to deploy a single compute instance:
heat_template_version: 2015-04-30
description: Simple template to deploy a single compute instance
resources:
my_instance:
type: OS::Nova::Server
properties:
key_name: my_key
image: ubuntu-trusty-x86_64
flavor: m1.small
Each HOT template must include the heat_template_version
key with the HOT version value, for example, 2013-05-23
.
Consult the Heat template
version list <hot_spec_template_version>
for allowed values
and their features.
The description
key is optional, however it is good
practice to include some useful text that describes what users can do
with the template. In case you want to provide a longer description that
does not fit on a single line, you can provide multi-line text in YAML,
for example:
description: >
This is how you can provide a longer description of your template that goes over several lines.
The resources
section is required and must contain at
least one resource definition. In the above example, a compute instance
is defined with fixed values for the key_name
,
image
and flavor
properties.
Note
All the defined elements (key pair, image, flavor) have to exist in the OpenStack environment where the template is used.
Input parameters
Input parameters defined in the parameters
section of a
template allow users to customize a template during deployment. For
example, this allows for providing custom key pair names or image IDs to
be used for a deployment. From a template author's perspective, this
helps to make a template more easily reusable by avoiding hardcoded
assumptions.
The following example extends the previous template to provide parameters for the key pair, image and flavor properties of the resource:
heat_template_version: 2015-04-30
description: Simple template to deploy a single compute instance
parameters:
key_name:
type: string
label: Key Name
description: Name of key-pair to be used for compute instance
image_id:
type: string
label: Image ID
description: Image to be used for compute instance
flavor:
type: string
label: Instance Type
description: Type of instance (flavor) to be used
resources:
my_instance:
type: OS::Nova::Server
properties:
key_name: { get_param: key_name }
image: { get_param: image_id }
flavor: { get_param: flavor }
Values for the three parameters must be defined by the template user
during the deployment of a stack. The get_param
intrinsic
function retrieves a user-specified value for a given parameter and uses
this value for the associated resource property.
For more information about intrinsic functions, see hot_spec_intrinsic_functions
.
Providing default values
You can provide default values for parameters. If a user doesn't
define a value for a parameter, the default value is used during the
stack deployment. The following example defines a default value
m1.small
for the flavor
property:
parameters:
flavor:
type: string
label: Instance Type
description: Flavor to be used
default: m1.small
Note
If a template doesn't define a default value for a parameter, then the user must define the value, otherwise the stack creation will fail.
Hiding parameters values
The values that a user provides when deploying a stack are available
in the stack details and can be accessed by any user in the same tenant.
To hide the value of a parameter, use the hidden
boolean
attribute of the parameter:
parameters:
database_password:
type: string
label: Database Password
description: Password to be used for database
hidden: true
Restricting user input
You can restrict the values of an input parameter to make sure that
the user defines valid data for this parameter. The
constraints
property of an input parameter defines a list
of constraints to apply for the parameter. The following example
restricts the flavor
parameter to a list of three possible
values:
parameters:
flavor:
type: string
label: Instance Type
description: Type of instance (flavor) to be used
constraints:
- allowed_values: [ m1.medium, m1.large, m1.xlarge ]
description: Value must be one of m1.medium, m1.large or m1.xlarge.
The following example defines multiple constraints for a password definition:
parameters:
database_password:
type: string
label: Database Password
description: Password to be used for database
hidden: true
constraints:
- length: { min: 6, max: 8 }
description: Password length must be between 6 and 8 characters.
- allowed_pattern: "[a-zA-Z0-9]+"
description: Password must consist of characters and numbers only.
- allowed_pattern: "[A-Z]+[a-zA-Z0-9]*"
description: Password must start with an uppercase character.
The list of supported constraints is available in the hot_spec_parameters_constraints
section.
Note
You can define multiple constraints of the same type. Especially in the case of allowed patterns this not only allows for keeping regular expressions simple and maintainable, but also for keeping error messages to be presented to users precise.
Template outputs
In addition to template customization through input parameters, you
can provide information about the resources created during the stack
deployment to the users in the outputs
section of a
template. In the following example the output section provides the IP
address of the my_instance
resource:
outputs:
instance_ip:
description: The IP address of the deployed instance
value: { get_attr: [my_instance, first_address] }
Note
Output values are typically resolved using intrinsic function such as
the get_attr
. See hot_spec_intrinsic_functions
for more information
about intrinsic functions..
See hot_spec_outputs
for more information about the outputs
section.