Source code for airflow.example_dags.example_dynamic_task_mapping_with_no_taskflow_operators

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"""Example DAG demonstrating the usage of dynamic task mapping with non-TaskFlow operators."""

from __future__ import annotations

from datetime import datetime

from airflow.models.baseoperator import BaseOperator
from airflow.models.dag import DAG

[docs]class AddOneOperator(BaseOperator): """A custom operator that adds one to the input.""" def __init__(self, value, **kwargs): super().__init__(**kwargs) self.value = value
[docs] def execute(self, context): return self.value + 1
[docs]class SumItOperator(BaseOperator): """A custom operator that sums the input."""
[docs] template_fields = ("values",)
def __init__(self, values, **kwargs): super().__init__(**kwargs) self.values = values
[docs] def execute(self, context): total = sum(self.values) print(f"Total was {total}") return total
with DAG( dag_id="example_dynamic_task_mapping_with_no_taskflow_operators", start_date=datetime(2022, 3, 4), catchup=False, ): # map the task to a list of values
[docs] add_one_task = AddOneOperator.partial(task_id="add_one").expand(value=[1, 2, 3])
# aggregate (reduce) the mapped tasks results sum_it_task = SumItOperator(task_id="sum_it", values=add_one_task.output)

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