taipy.core.data.InMemoryDataNode

Bases: DataNode

Data Node stored in memory.

Warning

This Data Node implementation is not compatible with a parallel execution of taipy tasks, but only with a task executor in development mode. The purpose of InMemoryDataNode is to be used for development or debugging.

Attributes:

Name	Type	Description
config_id	str	Identifier of the data node configuration. It must be a valid Python identifier.
scope	Scope	The scope of this data node.
id	str	The unique identifier of this data node.
owner_id	str	The identifier of the owner (sequence_id, scenario_id, cycle_id) or None.
parent_ids	Optional[Set[str]]	The identifiers of the parent tasks or None.
last_edit_date	datetime	The date and time of the last modification.
edits	List[Edit]	The ordered list of edits for that job.
version	str	The string indicates the application version of the data node to instantiate. If not provided, the current version is used.
validity_period	Optional[timedelta]	The duration implemented as a timedelta since the last edit date for which the data node can be considered up-to-date. Once the validity period has passed, the data node is considered stale and relevant tasks will run even if they are skippable (see the Task management page for more details). If validity_period is set to None, the data node is always up-to-date.
edit_in_progress	bool	True if a task computing the data node has been submitted and not completed yet. False otherwise.
editor_id	Optional[str]	The identifier of the user who is currently editing the data node.
editor_expiration_date	Optional[datetime]	The expiration date of the editor lock.
properties	dict[str, Any]	A dictionary of additional properties. When creating an In Memory data node, if the properties dictionary contains a "default_data" entry, the data node is automatically written with the corresponding "default_data" value.