def to_model(cls, action):
        name = getattr(action, 'name', None)
        description = getattr(action, 'description', None)
        enabled = bool(getattr(action, 'enabled', True))
        entry_point = str(action.entry_point)
        pack = str(action.pack)
        runner_type = {'name': str(action.runner_type)}
        parameters = getattr(action, 'parameters', dict())
        tags = TagsHelper.to_model(getattr(action, 'tags', []))
        ref = ResourceReference.to_string_reference(pack=pack, name=name)

        if getattr(action, 'notify', None):
            notify = NotificationsHelper.to_model(action.notify)
        else:
            # We use embedded document model for ``notify`` in action model. If notify is
            # set notify to None, Mongoengine interprets ``None`` as unmodified
            # field therefore doesn't delete the embedded document. Therefore, we need
            # to use an empty document.
            notify = NotificationsHelper.to_model({})

        model = cls.model(name=name, description=description, enabled=enabled,
                          entry_point=entry_point, pack=pack, runner_type=runner_type,
                          tags=tags, parameters=parameters, notify=notify,
                          ref=ref)

        return model

 def to_model(cls, triggertype):
     model = super(cls, cls).to_model(triggertype)
     model.pack = getattr(triggertype, 'pack', None)
     model.payload_schema = getattr(triggertype, 'payload_schema', {})
     model.parameters_schema = getattr(triggertype, 'parameters_schema', {})
     model.tags = TagsHelper.to_model(getattr(triggertype, 'tags', []))
     return model

    def to_model(cls, action):
        name = getattr(action, "name", None)
        description = getattr(action, "description", None)
        enabled = bool(getattr(action, "enabled", True))
        entry_point = str(action.entry_point)
        pack = str(action.pack)
        runner_type = {"name": str(action.runner_type)}
        parameters = getattr(action, "parameters", dict())
        tags = TagsHelper.to_model(getattr(action, "tags", []))
        ref = ResourceReference.to_string_reference(pack=pack, name=name)

        if getattr(action, "notify", None):
            notify = NotificationsHelper.to_model(action.notify)
        else:
            notify = None

        model = cls.model(
            name=name,
            description=description,
            enable=enabled,
            enabled=enabled,
            entry_point=entry_point,
            pack=pack,
            runner_type=runner_type,
            tags=tags,
            parameters=parameters,
            notify=notify,
            ref=ref,
        )

        return model

    def to_model(cls, rule):
        kwargs = {}
        kwargs['name'] = getattr(rule, 'name', None)
        kwargs['description'] = getattr(rule, 'description', None)

        # Create a trigger for the provided rule
        trigger_db = TriggerService.create_trigger_db_from_rule(rule)
        kwargs['trigger'] = reference.get_str_resource_ref_from_model(trigger_db)

        # Validate trigger parameters
        validator.validate_trigger_parameters(trigger_db=trigger_db)

        kwargs['pack'] = getattr(rule, 'pack', DEFAULT_PACK_NAME)
        kwargs['ref'] = ResourceReference.to_string_reference(pack=kwargs['pack'],
                                                              name=kwargs['name'])

        # Validate criteria
        kwargs['criteria'] = dict(getattr(rule, 'criteria', {}))
        validator.validate_criteria(kwargs['criteria'])

        kwargs['action'] = ActionExecutionSpecDB(ref=rule.action['ref'],
                                                 parameters=rule.action.get('parameters', {}))

        rule_type = dict(getattr(rule, 'type', {}))
        if rule_type:
            kwargs['type'] = RuleTypeSpecDB(ref=rule_type['ref'],
                                            parameters=rule_type.get('parameters', {}))

        kwargs['enabled'] = getattr(rule, 'enabled', False)
        kwargs['tags'] = TagsHelper.to_model(getattr(rule, 'tags', []))

        model = cls.model(**kwargs)
        return model

    def to_model(cls, rule):
        name = getattr(rule, 'name', None)
        description = getattr(rule, 'description', None)

        # Create a trigger for the provided rule
        trigger_db = TriggerService.create_trigger_db_from_rule(rule)

        trigger = reference.get_str_resource_ref_from_model(trigger_db)
        criteria = dict(getattr(rule, 'criteria', {}))
        pack = getattr(rule, 'pack', DEFAULT_PACK_NAME)
        ref = ResourceReference.to_string_reference(pack=pack, name=name)

        # Validate criteria
        validator.validate_criteria(criteria)

        # Validate trigger parameters
        validator.validate_trigger_parameters(trigger_db=trigger_db)

        action = ActionExecutionSpecDB(ref=rule.action['ref'],
                                       parameters=rule.action['parameters'])

        enabled = rule.enabled
        tags = TagsHelper.to_model(getattr(rule, 'tags', []))

        model = cls.model(name=name, description=description, pack=pack, ref=ref, trigger=trigger,
                          criteria=criteria, action=action, enabled=enabled, tags=tags)
        return model

    def from_model(cls, model, mask_secrets=False):
        action = cls._from_model(model)
        action['runner_type'] = action['runner_type']['name']
        action['tags'] = TagsHelper.from_model(model.tags)

        if getattr(model, 'notify', None):
            action['notify'] = NotificationsHelper.from_model(model.notify)

        return cls(**action)

    def to_model(cls, trigger_type):
        name = getattr(trigger_type, 'name', None)
        description = getattr(trigger_type, 'description', None)
        pack = getattr(trigger_type, 'pack', None)
        payload_schema = getattr(trigger_type, 'payload_schema', {})
        parameters_schema = getattr(trigger_type, 'parameters_schema', {})
        tags = TagsHelper.to_model(getattr(trigger_type, 'tags', []))

        model = cls.model(name=name, description=description, pack=pack,
                          payload_schema=payload_schema, parameters_schema=parameters_schema,
                          tags=tags)
        return model

    def from_model(cls, model):
        rule = cls._from_model(model)
        trigger_db = reference.get_model_by_resource_ref(Trigger, model.trigger)

        if not trigger_db:
            raise ValueError('Missing TriggerDB object for rule %s' % (rule['id']))

        rule['trigger'] = vars(TriggerAPI.from_model(trigger_db))
        del rule['trigger']['id']
        del rule['trigger']['name']
        rule['tags'] = TagsHelper.from_model(model.tags)
        return cls(**rule)

 def to_model(cls, rule):
     model = super(cls, cls).to_model(rule)
     trigger_db = TriggerService.create_trigger_db_from_rule(rule)
     model.trigger = reference.get_str_resource_ref_from_model(trigger_db)
     model.criteria = dict(getattr(rule, 'criteria', {}))
     validator.validate_criteria(model.criteria)
     model.action = ActionExecutionSpecDB()
     model.action.ref = rule.action['ref']
     model.action.parameters = rule.action['parameters']
     model.enabled = rule.enabled
     model.tags = TagsHelper.to_model(getattr(rule, 'tags', []))
     return model

    def to_model(cls, action):
        model = super(cls, cls).to_model(action)
        model.enabled = bool(action.enabled)
        model.entry_point = str(action.entry_point)
        model.pack = str(action.pack)
        model.runner_type = {'name': str(action.runner_type)}
        model.parameters = getattr(action, 'parameters', dict())
        model.tags = TagsHelper.to_model(getattr(action, 'tags', []))
        model.ref = ResourceReference.to_string_reference(pack=model.pack, name=model.name)
        if getattr(action, 'notify', None):
            model.notify = NotificationsHelper.to_model(action.notify)

        return model

    def from_model(cls, model, mask_secrets=False):
        rule = cls._from_model(model, mask_secrets=mask_secrets)
        trigger_db = reference.get_model_by_resource_ref(Trigger, model.trigger)

        if not trigger_db:
            raise ValueError('Missing TriggerDB object for rule %s' % (rule['id']))
        rule['trigger'] = {
            'type': trigger_db.type,
            'parameters': trigger_db.parameters,
            'ref': model.trigger
        }
        rule['tags'] = TagsHelper.from_model(model.tags)
        return cls(**rule)

    def to_model(cls, rule):
        kwargs = {}
        kwargs['name'] = getattr(rule, 'name', None)
        kwargs['description'] = getattr(rule, 'description', None)

        # Validate trigger parameters
        # Note: This must happen before we create a trigger, otherwise create trigger could fail
        # with a cryptic error
        trigger = getattr(rule, 'trigger', {})
        trigger_type_ref = trigger.get('type', None)
        parameters = trigger.get('parameters', {})

        validator.validate_trigger_parameters(trigger_type_ref=trigger_type_ref,
                                              parameters=parameters)

        # Create a trigger for the provided rule
        trigger_db = TriggerService.create_trigger_db_from_rule(rule)
        kwargs['trigger'] = reference.get_str_resource_ref_from_model(trigger_db)

        kwargs['pack'] = getattr(rule, 'pack', DEFAULT_PACK_NAME)
        kwargs['ref'] = ResourceReference.to_string_reference(pack=kwargs['pack'],
                                                              name=kwargs['name'])

        # Validate criteria
        kwargs['criteria'] = dict(getattr(rule, 'criteria', {}))
        validator.validate_criteria(kwargs['criteria'])

        kwargs['action'] = ActionExecutionSpecDB(ref=rule.action['ref'],
                                                 parameters=rule.action.get('parameters', {}))

        rule_type = dict(getattr(rule, 'type', {}))
        if rule_type:
            kwargs['type'] = RuleTypeSpecDB(ref=rule_type['ref'],
                                            parameters=rule_type.get('parameters', {}))

        kwargs['enabled'] = getattr(rule, 'enabled', False)
        kwargs['context'] = getattr(rule, 'context', dict())
        kwargs['tags'] = TagsHelper.to_model(getattr(rule, 'tags', []))
        kwargs['metadata_file'] = getattr(rule, 'metadata_file', None)

        model = cls.model(**kwargs)
        return model

 def from_model(cls, model):
     triggertype = cls._from_model(model)
     triggertype['tags'] = TagsHelper.from_model(model.tags)
     return cls(**triggertype)

 def from_model(cls, model, mask_secrets=False):
     triggertype = cls._from_model(model, mask_secrets=mask_secrets)
     triggertype['tags'] = TagsHelper.from_model(model.tags)
     return cls(**triggertype)