Source code for azure.mgmt.datafactory.models.blob_events_trigger_py3

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from .multiple_pipeline_trigger_py3 import MultiplePipelineTrigger


[docs]class BlobEventsTrigger(MultiplePipelineTrigger): """Trigger that runs every time a Blob event occurs. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param additional_properties: Unmatched properties from the message are deserialized this collection :type additional_properties: dict[str, object] :param description: Trigger description. :type description: str :ivar runtime_state: Indicates if trigger is running or not. Updated when Start/Stop APIs are called on the Trigger. Possible values include: 'Started', 'Stopped', 'Disabled' :vartype runtime_state: str or ~azure.mgmt.datafactory.models.TriggerRuntimeState :param annotations: List of tags that can be used for describing the trigger. :type annotations: list[object] :param type: Required. Constant filled by server. :type type: str :param pipelines: Pipelines that need to be started. :type pipelines: list[~azure.mgmt.datafactory.models.TriggerPipelineReference] :param blob_path_begins_with: The blob path must begin with the pattern provided for trigger to fire. For example, '/records/blobs/december/' will only fire the trigger for blobs in the december folder under the records container. At least one of these must be provided: blobPathBeginsWith, blobPathEndsWith. :type blob_path_begins_with: str :param blob_path_ends_with: The blob path must end with the pattern provided for trigger to fire. For example, 'december/boxes.csv' will only fire the trigger for blobs named boxes in a december folder. At least one of these must be provided: blobPathBeginsWith, blobPathEndsWith. :type blob_path_ends_with: str :param events: Required. The type of events that cause this trigger to fire. :type events: list[str or ~azure.mgmt.datafactory.models.BlobEventTypes] :param scope: Required. The ARM resource ID of the Storage Account. :type scope: str """ _validation = { 'runtime_state': {'readonly': True}, 'type': {'required': True}, 'events': {'required': True}, 'scope': {'required': True}, } _attribute_map = { 'additional_properties': {'key': '', 'type': '{object}'}, 'description': {'key': 'description', 'type': 'str'}, 'runtime_state': {'key': 'runtimeState', 'type': 'str'}, 'annotations': {'key': 'annotations', 'type': '[object]'}, 'type': {'key': 'type', 'type': 'str'}, 'pipelines': {'key': 'pipelines', 'type': '[TriggerPipelineReference]'}, 'blob_path_begins_with': {'key': 'typeProperties.blobPathBeginsWith', 'type': 'str'}, 'blob_path_ends_with': {'key': 'typeProperties.blobPathEndsWith', 'type': 'str'}, 'events': {'key': 'typeProperties.events', 'type': '[str]'}, 'scope': {'key': 'typeProperties.scope', 'type': 'str'}, } def __init__(self, *, events, scope: str, additional_properties=None, description: str=None, annotations=None, pipelines=None, blob_path_begins_with: str=None, blob_path_ends_with: str=None, **kwargs) -> None: super(BlobEventsTrigger, self).__init__(additional_properties=additional_properties, description=description, annotations=annotations, pipelines=pipelines, **kwargs) self.blob_path_begins_with = blob_path_begins_with self.blob_path_ends_with = blob_path_ends_with self.events = events self.scope = scope self.type = 'BlobEventsTrigger'