Synchronizers are the components of CORD that map the abstract declarative state about how the system is suppose to behave (as defined by the XOS data model) into the concrete operational state of the backend components that implement the system (e.g., VNFs, micro-services, SDN control applications).
Writing a Synchronizer is half of the work required to on-board a service into CORD. First a model for the service is written as an xproto specification, and then you implement a synchronizer that translates that model onto some backend component.
To implement a Synchronizer, it is important to first understand the role they play in CORD and the assumptions made about their behavior. The next section describes a set of design guidelines and the following one presents the implementation details.
This section is intended to be a reference for the commonly used APIs exposed by the synchronizer framework.
Model Policies can be seen as post-save
hooks and they are generally defined in the xos/synchronizer/model_policies
folder of your service.
Model policies are generally used to dynamically create a service chain (when a ServiceInstance is created it will create a ServiceInstance of its east side Service)
Note that you'll need to add this folder in your synchronizer configuration file as
model_policies_dir: "/opt/xos/synchronizers/<synchronizer_name>/model_policies"
A model policy is a class that inherits from Policy
from synchronizers.new_base.modelaccessor import MyServiceInstance, ServiceInstanceLink, model_accessor from synchronizers.new_base.policy import Policy class MyServiceInstancePolicy(Policy): model_name = "MyServiceInstance"
and overrides one or more of the following methods:
def handle_create(self, model):
def handle_update(self, model):
def handle_delete(self, model):
where model is the instance of the model that has been created
Sync Steps are the actual piece of code that provide the mapping between your models and your backend. You will need to define a sync step for each model.
Note that you'll need to add this folder in your synchronizer configuration file as
steps_dir: "/opt/xos/synchronizers/<synchronizer_name>/steps"
A Sync Step is a class that inherits from SyncStep
from synchronizers.new_base.SyncInstanceUsingAnsible import SyncStep from synchronizers.new_base.modelaccessor import MyModel from xosconfig import Config from multistructlog import create_logger log = create_logger(Config().get('logging')) class SyncMyModel(SyncStep): provides = [MyModel] observes = MyModel
and provides these methods:
def sync_record(self, o): log.info("sync'ing object", object=str(o), **o.tologdict())
def delete_record(self, o): log.info("deleting object", object=str(o), **o.tologdict())
This methods will be invoked anytime there is change in the model passing as argument the changed models. After performing the required operations to sync the model state with the backend state the synchronizer framework will update the models with the operational informations needed.
Pull Steps can be used to observe the surrounding environment and update the data-model accordingly.
Note that you'll need to add this folder in your synchronizer configuration file as
pull_steps_dir: "/opt/xos/synchronizers/<synchronizer_name>/pull_steps"
A Sync Step is a class that inherits from PullStep
from synchronizers.new_base.pullstep import PullStep from synchronizers.new_base.modelaccessor import OLTDevice from xosconfig import Config from multistructlog import create_logger log = create_logger(Config().get('logging')) from synchronizers.new_base.modelaccessor import MyModel class MyModelPullStep(PullStep): def __init__(self): super(MyModelPullStep, self).__init__(observed_model=OLTDevice)
and override the following method:
def pull_records(self): log.info("pulling MyModels") # create an empty model o = MyModel() # code to fetch information # populate the model o.foo = 'bar' o.no_sync = True # this is required to prevent the synchronizer to be invoked and start a loop o.save()