taipy.core.data.S3ObjectDataNode
Bases: DataNode
Data Node object stored in an Amazon Web Service S3 Bucket.
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 |
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 |
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. Note that the properties parameter must at least contain an entry for "aws_access_key" , "aws_secret_access_key" , aws_s3_bucket_name and aws_s3_object_key :
|