TaskSet

This class represents the result metadata for a set of tasks, mapping to the underlying database storage for Celery task sets. It provides a structure for tracking unique task set identifiers, their pickled results, and completion timestamps. The class includes utility methods for dictionary conversion and schema configuration for database integration.

Attributes

Attribute	Type	Description
id	integer	Unique internal primary key for the taskset record, automatically incremented using a sequence.
taskset_id	string	Unique identifier string for the specific taskset, limited to 155 characters.
result	PickleType	The pickled result data associated with the taskset, which can be null if no result is available.
date_done	datetime = _get_utc_now	The UTC timestamp indicating when the taskset execution was completed.

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Constructor

Signature

def TaskSet(
    taskset_id: string,
    result: any
) - > null

Parameters

Name	Type	Description
taskset_id	string	The unique identifier for the task set.
result	any	The result data associated with the task set, typically stored as a pickled object.

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Signature

def TaskSet(
    taskset_id: string,
    result: any
)

Parameters

Name	Type	Description
taskset_id	string	The unique identifier for the task set group.
result	any	The pickled result data or metadata associated with the task set.

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Methods

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to_dict()

@classmethod
def to_dict() - > dict

Converts the TaskSet model instance into a dictionary representation for serialization.

Returns

Type	Description
dict	A dictionary containing the taskset_id, result, and date_done timestamp.

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configure()

@classmethod
def configure(
    schema: string = null,
    name: string = null
)

Configures the database schema and table name for the TaskSet model at runtime.

Parameters

Name	Type	Description
schema	string = null	The database schema name to apply to the table and its sequences.
name	string = null	An optional override for the database table name; defaults to the class tablename if not provided.

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