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Inputs

inputs are parameters that are injected into a blueprint when a deployment is created. These parameters can be referenced by using the get_input intrinsic function.

Inputs are useful when there is a need to inject parameters in the blueprint that were unknown when the blueprint was created, and they can be used for distinction between different deployments of the same blueprint.

Beginning with definitions version cloudify_dsl_1_3, you can also import inputs multiple times.

Also note that you can pass multiple -i flags in the CLI, to pass multiple input structures or to pass wildcard-based paths to input files (e.g. ... -i *.yaml) and directories containing input files (e.g. ... -i my_inputs_file_dir/)

Declaration

inputs:

  input1:
    ...
  input2:
    ...

Schema

Keyname Required Type Description
description no string An optional description for the input.
type no string The required data type of the input. Not specifying a data type means the type can be anything, including a list, an array or a dictionary. Valid types: string, integer, float, boolean, list, dict, regex or a custom data type.
default no <any> An optional default value for the input.
constraints no list of dicts The constraints the input value must comply with. Read more details about the format and usage of the constraints in the Constraints section below.
required no boolean a boolean value to indicate whether the input is required must be passed or not.

Note: if you specify a custom data_type in the type field, a property validation will occur. See the example below.

Example

inputs:

  image_name:
    description: The image name of the server
    type: string
    default: "Ubuntu 12.04"

  extra_vm_details:
    description: Extra server details
    default:
        key_name: 'my-openstack-key-name'
        all_my_flavors: [ 1, 2, 3, 4 ]

node_templates:

  vm:
    type: cloudify.openstack.nodes.Server
    properties:
      server:
        image_name: { get_input: image_name }
        key_name: { get_input: [ extra_vm_details, key_name ] }
        flavor: { get_input: [ extra_vm_details, all_my_flavors, 0 ] }

get_input is a special function which enables you to use inputs throughout the blueprint. For more information see intrinsic_functions.

Another example, with data_types

inputs:
    ports_conf:
        type: port_conf
data_types:
    port_conf:
        properties:
            webserver_port1:
                type: integer
            webserver_port2:
                type: integer
The ports_conf input that will be provided must comply with the port_conf data_type schema. Meaning that it must have two properties, webserver_port1 and webserver_port2, and both of them must be integers.

Constraints

Constraint dict format

Each constraint must be in the following format: 

{ constraint_operator: argument_or_argument_list }

List of Constraint Operators

Operator name Arguments it accepts Value types it can validate
equal scalar any
greater_than scalar comparable
greater_or_equal scalar comparable
less_than scalar comparable
less_or_equal scalar comparable
in_range list of two scalars comparable
valid_values list of valid values any
length scalar string, list, dict
min_length scalar string, list, dict
max_length scalar string, list, dict
pattern string (that represents a regex) string

Example

In the following example, the image_name input must comply with the given regex, otherwise an error is displayed. 

inputs:

  image_name:
    description: The image name of the server
    type: string
    default: "Ubuntu 12.04"
    constraints:
        - pattern: "Ubuntu \d{2}\.04"