Source code for azure.servicefabric.models.service_type_description_py3

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from msrest.serialization import Model


[docs]class ServiceTypeDescription(Model): """Describes a service type defined in the service manifest of a provisioned application type. The properties the ones defined in the service manifest. You probably want to use the sub-classes and not this class directly. Known sub-classes are: StatefulServiceTypeDescription, StatelessServiceTypeDescription All required parameters must be populated in order to send to Azure. :param is_stateful: Indicates whether the service type is a stateful service type or a stateless service type. This property is true if the service type is a stateful service type, false otherwise. :type is_stateful: bool :param service_type_name: Name of the service type as specified in the service manifest. :type service_type_name: str :param placement_constraints: The placement constraint to be used when instantiating this service in a Service Fabric cluster. :type placement_constraints: str :param load_metrics: The service load metrics is given as an array of ServiceLoadMetricDescription objects. :type load_metrics: list[~azure.servicefabric.models.ServiceLoadMetricDescription] :param service_placement_policies: List of service placement policy descriptions. :type service_placement_policies: list[~azure.servicefabric.models.ServicePlacementPolicyDescription] :param extensions: List of service type extensions. :type extensions: list[~azure.servicefabric.models.ServiceTypeExtensionDescription] :param kind: Required. Constant filled by server. :type kind: str """ _validation = { 'kind': {'required': True}, } _attribute_map = { 'is_stateful': {'key': 'IsStateful', 'type': 'bool'}, 'service_type_name': {'key': 'ServiceTypeName', 'type': 'str'}, 'placement_constraints': {'key': 'PlacementConstraints', 'type': 'str'}, 'load_metrics': {'key': 'LoadMetrics', 'type': '[ServiceLoadMetricDescription]'}, 'service_placement_policies': {'key': 'ServicePlacementPolicies', 'type': '[ServicePlacementPolicyDescription]'}, 'extensions': {'key': 'Extensions', 'type': '[ServiceTypeExtensionDescription]'}, 'kind': {'key': 'Kind', 'type': 'str'}, } _subtype_map = { 'kind': {'Stateful': 'StatefulServiceTypeDescription', 'Stateless': 'StatelessServiceTypeDescription'} } def __init__(self, *, is_stateful: bool=None, service_type_name: str=None, placement_constraints: str=None, load_metrics=None, service_placement_policies=None, extensions=None, **kwargs) -> None: super(ServiceTypeDescription, self).__init__(**kwargs) self.is_stateful = is_stateful self.service_type_name = service_type_name self.placement_constraints = placement_constraints self.load_metrics = load_metrics self.service_placement_policies = service_placement_policies self.extensions = extensions self.kind = None