Developing Cisco ACI modules
This is a brief walk-through of how to create new Cisco ACI modules for Ansible.
For more information about Cisco ACI, look at the Cisco ACI user guide.
What’s covered in this section:
Introduction
The cisco.aci collection already includes a large number of Cisco ACI modules, however the ACI object model is huge and covering all possible functionality would easily cover more than 1500 individual modules.
If you need specific functionality, you have 2 options:
Learn the ACI object model and use the low-level APIC REST API using the aci_rest module
Write your own dedicated modules, which is actually quite easy
See also
- ACI Fundamentals: ACI Policy Model
A good introduction to the ACI object model.
- APIC Management Information Model reference
Complete reference of the APIC object model.
- APIC REST API Configuration Guide
Detailed guide on how the APIC REST API is designed and used, incl. many examples.
So let’s look at how a typical ACI module is built up.
ACI module structure
Importing objects from Python libraries
The following imports are standard across ACI modules:
from ansible.module_utils.aci import ACIModule, aci_argument_spec
from ansible.module_utils.basic import AnsibleModule
Defining the argument spec
The first line adds the standard connection parameters to the module. After that, the next section will update the argument_spec
dictionary with module-specific parameters. The module-specific parameters should include:
the object_id (usually the name)
the configurable properties of the object
the parent object IDs (all parents up to the root)
only child classes that are a 1-to-1 relationship (1-to-many/many-to-many require their own module to properly manage)
the state
state: absent
to ensure object does not existstate: present
to ensure the object and configs exist; this is also the defaultstate: query
to retrieve information about objects in the class
def main():
argument_spec = aci_argument_spec()
argument_spec.update(
object_id=dict(type='str', aliases=['name']),
object_prop1=dict(type='str'),
object_prop2=dict(type='str', choices=['choice1', 'choice2', 'choice3']),
object_prop3=dict(type='int'),
parent_id=dict(type='str'),
child_object_id=dict(type='str'),
child_object_prop=dict(type='str'),
state=dict(type='str', default='present', choices=['absent', 'present', 'query']),
)
Hint
Do not provide default values for configuration arguments. Default values could cause unintended changes to the object.
Using the AnsibleModule object
The following section creates an AnsibleModule instance. The module should support check-mode, so we pass the argument_spec
and supports_check_mode
arguments. Since these modules support querying the APIC for all objects of the module’s class, the object/parent IDs should only be required if state: absent
or state: present
.
module = AnsibleModule(
argument_spec=argument_spec,
supports_check_mode=True,
required_if=[
['state', 'absent', ['object_id', 'parent_id']],
['state', 'present', ['object_id', 'parent_id']],
],
)
Mapping variable definition
Once the AnsibleModule object has been initiated, the necessary parameter values should be extracted from params
and any data validation should be done. Usually the only params that need to be extracted are those related to the ACI object configuration and its child configuration. If you have integer objects that you would like to validate, then the validation should be done here, and the ACIModule.payload()
method will handle the string conversion.
object_id = object_id
object_prop1 = module.params['object_prop1']
object_prop2 = module.params['object_prop2']
object_prop3 = module.params['object_prop3']
if object_prop3 is not None and object_prop3 not in range(x, y):
module.fail_json(msg='Valid object_prop3 values are between x and (y-1)')
child_object_id = module.params['child_object_id']
child_object_prop = module.params['child_object_prop']
state = module.params['state']
Using the ACIModule object
The ACIModule class handles most of the logic for the ACI modules. The ACIModule extends functionality to the AnsibleModule object, so the module instance must be passed into the class instantiation.
aci = ACIModule(module)
The ACIModule has six main methods that are used by the modules:
construct_url
get_existing
payload
get_diff
post_config
delete_config
The first two methods are used regardless of what value is passed to the state
parameter.
Constructing URLs
The construct_url()
method is used to dynamically build the appropriate URL to interact with the object, and the appropriate filter string that should be appended to the URL to filter the results.
When the
state
is notquery
, the URL is the base URL to access the APIC plus the distinguished name to access the object. The filter string will restrict the returned data to just the configuration data.When
state
isquery
, the URL and filter string used depends on what parameters are passed to the object. This method handles the complexity so that it is easier to add new modules and so that all modules are consistent in what type of data is returned.
Note
Our design goal is to take all ID parameters that have values, and return the most specific data possible. If you do not supply any ID parameters to the task, then all objects of the class will be returned. If your task does consist of ID parameters sed, then the data for the specific object is returned. If a partial set of ID parameters are passed, then the module will use the IDs that are passed to build the URL and filter strings appropriately.
The construct_url()
method takes 2 required arguments:
self - passed automatically with the class instance
root_class - A dictionary consisting of
aci_class
,aci_rn
,target_filter
, andmodule_object
keysaci_class: The name of the class used by the APIC, for example
fvTenant
aci_rn: The relative name of the object, for example
tn-ACME
target_filter: A dictionary with key-value pairs that make up the query string for selecting a subset of entries, for example
{'name': 'ACME'}
module_object: The particular object for this class, for example
ACME
Example:
aci.construct_url(
root_class=dict(
aci_class='fvTenant',
aci_rn='tn-{0}'.format(tenant),
target_filter={'name': tenant},
module_object=tenant,
),
)
Some modules, like aci_tenant
, are the root class and so they would not need to pass any additional arguments to the method.
The construct_url()
method takes 4 optional arguments, the first three imitate the root class as described above, but are for child objects:
subclass_1 - A dictionary consisting of
aci_class
,aci_rn
,target_filter
, andmodule_object
keysExample: Application Profile Class (AP)
subclass_2 - A dictionary consisting of
aci_class
,aci_rn
,target_filter
, andmodule_object
keysExample: End Point Group (EPG)
subclass_3 - A dictionary consisting of
aci_class
,aci_rn
,target_filter
, andmodule_object
keysExample: Binding a Contract to an EPG
child_classes - The list of APIC names for the child classes supported by the modules.
This is a list, even if it is a list of one
These are the unfriendly names used by the APIC
These are used to limit the returned child_classes when possible
Example:
child_classes=['fvRsBDSubnetToProfile', 'fvRsNdPfxPol']
Note
Sometimes the APIC will require special characters ([, ], and -) or will use object metadata in the name (“vlanns” for VLAN pools); the module should handle adding special characters or joining of multiple parameters in order to keep expected inputs simple.
Getting the existing configuration
Once the URL and filter string have been built, the module is ready to retrieve the existing configuration for the object:
state: present
retrieves the configuration to use as a comparison against what was entered in the task. All values that are different than the existing values will be updated.state: absent
uses the existing configuration to see if the item exists and needs to be deleted.state: query
uses this to perform the query for the task and report back the existing data.
aci.get_existing()
When state is present
When state: present
, the module needs to perform a diff against the existing configuration and the task entries. If any value needs to be updated, then the module will make a POST request with only the items that need to be updated. Some modules have children that are in a 1-to-1 relationship with another object; for these cases, the module can be used to manage the child objects.
Building the ACI payload
The aci.payload()
method is used to build a dictionary of the proposed object configuration. All parameters that were not provided a value in the task will be removed from the dictionary (both for the object and its children). Any parameter that does have a value will be converted to a string and added to the final dictionary object that will be used for comparison against the existing configuration.
The aci.payload()
method takes two required arguments and 1 optional argument, depending on if the module manages child objects.
aci_class
is the APIC name for the object’s class, for exampleaci_class='fvBD'
class_config
is the appropriate dictionary to be used as the payload for the POST requestThe keys should match the names used by the APIC.
The values should be the corresponding value in
module.params
; these are the variables defined above
child_configs
is optional, and is a list of child config dictionaries.The child configs include the full child object dictionary, not just the attributes configuration portion.
The configuration portion is built the same way as the object.
aci.payload(
aci_class=aci_class,
class_config=dict(
name=bd,
descr=description,
type=bd_type,
),
child_configs=[
dict(
fvRsCtx=dict(
attributes=dict(
tnFvCtxName=vrf
),
),
),
],
)
Performing the request
The get_diff()
method is used to perform the diff, and takes only one required argument, aci_class
.
Example: aci.get_diff(aci_class='fvBD')
The post_config()
method is used to make the POST request to the APIC if needed. This method doesn’t take any arguments and handles check mode.
Example: aci.post_config()
Example code
if state == 'present':
aci.payload(
aci_class='<object APIC class>',
class_config=dict(
name=object_id,
prop1=object_prop1,
prop2=object_prop2,
prop3=object_prop3,
),
child_configs=[
dict(
'<child APIC class>'=dict(
attributes=dict(
child_key=child_object_id,
child_prop=child_object_prop
),
),
),
],
)
aci.get_diff(aci_class='<object APIC class>')
aci.post_config()
When state is absent
If the task sets the state to absent, then the delete_config()
method is all that is needed. This method does not take any arguments, and handles check mode.
elif state == 'absent':
aci.delete_config()
Exiting the module
To have the module exit, call the ACIModule method exit_json()
. This method automatically takes care of returning the common return values for you.
aci.exit_json()
if __name__ == '__main__':
main()
Testing ACI library functions
You can test your construct_url()
and payload()
arguments without accessing APIC hardware by using the following python script:
#!/usr/bin/python
import json
from ansible.module_utils.network.aci.aci import ACIModule
# Just another class mimicing a bare AnsibleModule class for construct_url() and payload() methods
class AltModule():
params = dict(
host='dummy',
port=123,
protocol='https',
state='present',
output_level='debug',
)
# A sub-class of ACIModule to overload __init__ (we don't need to log into APIC)
class AltACIModule(ACIModule):
def __init__(self):
self.result = dict(changed=False)
self.module = AltModule()
self.params = self.module.params
# Instantiate our version of the ACI module
aci = AltACIModule()
# Define the variables you need below
aep = 'AEP'
aep_domain = 'uni/phys-DOMAIN'
# Below test the construct_url() arguments to see if it produced correct results
aci.construct_url(
root_class=dict(
aci_class='infraAttEntityP',
aci_rn='infra/attentp-{}'.format(aep),
target_filter={'name': aep},
module_object=aep,
),
subclass_1=dict(
aci_class='infraRsDomP',
aci_rn='rsdomP-[{}]'.format(aep_domain),
target_filter={'tDn': aep_domain},
module_object=aep_domain,
),
)
# Below test the payload arguments to see if it produced correct results
aci.payload(
aci_class='infraRsDomP',
class_config=dict(tDn=aep_domain),
)
# Print the URL and proposed payload
print 'URL:', json.dumps(aci.url, indent=4)
print 'PAYLOAD:', json.dumps(aci.proposed, indent=4)
This will result in:
URL: "https://dummy/api/mo/uni/infra/attentp-AEP/rsdomP-[phys-DOMAIN].json"
PAYLOAD: {
"infraRsDomP": {
"attributes": {
"tDn": "phys-DOMAIN"
}
}
}
Testing for sanity checks
You can run from your fork something like:
$ ansible-test sanity --python 2.7 lib/ansible/modules/network/aci/aci_tenant.py
See also
- Sanity Tests
Information on how to build sanity tests.
Testing ACI integration tests
You can run this:
$ ansible-test network-integration --continue-on-error --allow-unsupported --diff -v aci_tenant
Note
You may need to add --python 2.7
or --python 3.6
in order to use the correct python version for performing tests.
You may want to edit the used inventory at test/integration/inventory.networking and add something like:
[aci:vars]
aci_hostname=my-apic-1
aci_username=admin
aci_password=my-password
aci_use_ssl=yes
aci_use_proxy=no
[aci]
localhost ansible_ssh_host=127.0.0.1 ansible_connection=local
See also
- Integration tests
Information on how to build integration tests.
Testing for test coverage
You can run this:
$ ansible-test network-integration --python 2.7 --allow-unsupported --coverage aci_tenant
$ ansible-test coverage report