Task Grouping¶
In large workflows, you may want to execute only a subset of tasks for debugging, testing, or partial runs. Task Orchestrator allows you to group tasks and execute only the selected group.
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Example: Executing a Group of Tasks¶
from pravaha.core.task import Task
from pravaha.core.executor import TaskExecutor
@Task(name="a")
def a():
print("a")
@Task(name="b")
def b():
print("b")
@Task(name="c")
def c():
print("c")
if __name__ == "__main__":
# Execute only tasks "a" and "c"
TaskExecutor.execute(taskgroup=("a", "c"))
Expected Output¶
a
c
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Notes¶
The taskgroup parameter takes a tuple of task names.
Only the tasks in the group are executed; others are skipped.
Task dependencies are still respected. If a task in the group depends on other tasks not in the group, those dependencies may also be executed automatically.
This feature is helpful for debugging, testing, or running partial workflows.