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test_task_group.py
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test_task_group.py
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#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations
from datetime import timedelta
import pendulum
import pytest
from airflow.decorators import (
dag,
setup,
task as task_decorator,
task_group as task_group_decorator,
teardown,
)
from airflow.exceptions import TaskAlreadyInTaskGroup
from airflow.models.baseoperator import BaseOperator
from airflow.models.dag import DAG
from airflow.models.xcom_arg import XComArg
from airflow.operators.bash import BashOperator
from airflow.operators.empty import EmptyOperator
from airflow.operators.python import PythonOperator
from airflow.utils.dag_edges import dag_edges
from airflow.utils.task_group import TaskGroup, task_group_to_dict
from tests.models import DEFAULT_DATE
def make_task(name, type_="classic"):
if type_ == "classic":
return BashOperator(task_id=name, bash_command="echo 1")
else:
@task_decorator
def my_task():
pass
return my_task.override(task_id=name)()
EXPECTED_JSON = {
"id": None,
"value": {
"label": None,
"labelStyle": "fill:#000;",
"style": "fill:CornflowerBlue",
"rx": 5,
"ry": 5,
"clusterLabelPos": "top",
"isMapped": False,
"tooltip": "",
},
"children": [
{
"id": "group234",
"value": {
"label": "group234",
"labelStyle": "fill:#000;",
"style": "fill:CornflowerBlue",
"rx": 5,
"ry": 5,
"clusterLabelPos": "top",
"tooltip": "",
"isMapped": False,
},
"children": [
{
"id": "group234.group34",
"value": {
"label": "group34",
"labelStyle": "fill:#000;",
"style": "fill:CornflowerBlue",
"rx": 5,
"ry": 5,
"clusterLabelPos": "top",
"tooltip": "",
"isMapped": False,
},
"children": [
{
"id": "group234.group34.task3",
"value": {
"label": "task3",
"labelStyle": "fill:#000;",
"style": "fill:#e8f7e4;",
"rx": 5,
"ry": 5,
},
},
{
"id": "group234.group34.task4",
"value": {
"label": "task4",
"labelStyle": "fill:#000;",
"style": "fill:#e8f7e4;",
"rx": 5,
"ry": 5,
},
},
{
"id": "group234.group34.downstream_join_id",
"value": {
"label": "",
"labelStyle": "fill:#000;",
"style": "fill:CornflowerBlue;",
"shape": "circle",
},
},
],
},
{
"id": "group234.task2",
"value": {
"label": "task2",
"labelStyle": "fill:#000;",
"style": "fill:#e8f7e4;",
"rx": 5,
"ry": 5,
},
},
{
"id": "group234.upstream_join_id",
"value": {
"label": "",
"labelStyle": "fill:#000;",
"style": "fill:CornflowerBlue;",
"shape": "circle",
},
},
],
},
{
"id": "task1",
"value": {
"label": "task1",
"labelStyle": "fill:#000;",
"style": "fill:#e8f7e4;",
"rx": 5,
"ry": 5,
},
},
{
"id": "task5",
"value": {
"label": "task5",
"labelStyle": "fill:#000;",
"style": "fill:#e8f7e4;",
"rx": 5,
"ry": 5,
},
},
],
}
def test_build_task_group_context_manager():
execution_date = pendulum.parse("20200101")
with DAG("test_build_task_group_context_manager", start_date=execution_date) as dag:
task1 = EmptyOperator(task_id="task1")
with TaskGroup("group234") as group234:
_ = EmptyOperator(task_id="task2")
with TaskGroup("group34") as group34:
_ = EmptyOperator(task_id="task3")
_ = EmptyOperator(task_id="task4")
task5 = EmptyOperator(task_id="task5")
task1 >> group234
group34 >> task5
assert task1.get_direct_relative_ids(upstream=False) == {
"group234.group34.task4",
"group234.group34.task3",
"group234.task2",
}
assert task5.get_direct_relative_ids(upstream=True) == {
"group234.group34.task4",
"group234.group34.task3",
}
assert dag.task_group.group_id is None
assert dag.task_group.is_root
assert set(dag.task_group.children.keys()) == {"task1", "group234", "task5"}
assert group34.group_id == "group234.group34"
assert task_group_to_dict(dag.task_group) == EXPECTED_JSON
def test_build_task_group():
"""
This is an alternative syntax to use TaskGroup. It should result in the same TaskGroup
as using context manager.
"""
execution_date = pendulum.parse("20200101")
dag = DAG("test_build_task_group", start_date=execution_date)
task1 = EmptyOperator(task_id="task1", dag=dag)
group234 = TaskGroup("group234", dag=dag)
_ = EmptyOperator(task_id="task2", dag=dag, task_group=group234)
group34 = TaskGroup("group34", dag=dag, parent_group=group234)
_ = EmptyOperator(task_id="task3", dag=dag, task_group=group34)
_ = EmptyOperator(task_id="task4", dag=dag, task_group=group34)
task5 = EmptyOperator(task_id="task5", dag=dag)
task1 >> group234
group34 >> task5
assert task_group_to_dict(dag.task_group) == EXPECTED_JSON
def extract_node_id(node, include_label=False):
ret = {"id": node["id"]}
if include_label:
ret["label"] = node["value"]["label"]
if "children" in node:
children = []
for child in node["children"]:
children.append(extract_node_id(child, include_label=include_label))
ret["children"] = children
return ret
def test_build_task_group_with_prefix():
"""
Tests that prefix_group_id turns on/off prefixing of task_id with group_id.
"""
execution_date = pendulum.parse("20200101")
with DAG("test_build_task_group_with_prefix", start_date=execution_date) as dag:
task1 = EmptyOperator(task_id="task1")
with TaskGroup("group234", prefix_group_id=False) as group234:
task2 = EmptyOperator(task_id="task2")
with TaskGroup("group34") as group34:
task3 = EmptyOperator(task_id="task3")
with TaskGroup("group4", prefix_group_id=False) as group4:
task4 = EmptyOperator(task_id="task4")
task5 = EmptyOperator(task_id="task5")
task1 >> group234
group34 >> task5
assert task2.task_id == "task2"
assert group34.group_id == "group34"
assert task3.task_id == "group34.task3"
assert group4.group_id == "group34.group4"
assert task4.task_id == "task4"
assert task5.task_id == "task5"
assert group234.get_child_by_label("task2") == task2
assert group234.get_child_by_label("group34") == group34
assert group4.get_child_by_label("task4") == task4
assert extract_node_id(task_group_to_dict(dag.task_group), include_label=True) == {
"id": None,
"label": None,
"children": [
{
"id": "group234",
"label": "group234",
"children": [
{
"id": "group34",
"label": "group34",
"children": [
{
"id": "group34.group4",
"label": "group4",
"children": [{"id": "task4", "label": "task4"}],
},
{"id": "group34.task3", "label": "task3"},
{"id": "group34.downstream_join_id", "label": ""},
],
},
{"id": "task2", "label": "task2"},
{"id": "group234.upstream_join_id", "label": ""},
],
},
{"id": "task1", "label": "task1"},
{"id": "task5", "label": "task5"},
],
}
def test_build_task_group_with_task_decorator():
"""
Test that TaskGroup can be used with the @task decorator.
"""
from airflow.decorators import task
@task
def task_1():
print("task_1")
@task
def task_2():
return "task_2"
@task
def task_3():
return "task_3"
@task
def task_4(task_2_output, task_3_output):
print(task_2_output, task_3_output)
@task
def task_5():
print("task_5")
execution_date = pendulum.parse("20200101")
with DAG("test_build_task_group_with_task_decorator", start_date=execution_date) as dag:
tsk_1 = task_1()
with TaskGroup("group234") as group234:
tsk_2 = task_2()
tsk_3 = task_3()
tsk_4 = task_4(tsk_2, tsk_3)
tsk_5 = task_5()
tsk_1 >> group234 >> tsk_5
assert tsk_1.operator in tsk_2.operator.upstream_list
assert tsk_1.operator in tsk_3.operator.upstream_list
assert tsk_5.operator in tsk_4.operator.downstream_list
assert extract_node_id(task_group_to_dict(dag.task_group)) == {
"id": None,
"children": [
{
"id": "group234",
"children": [
{"id": "group234.task_2"},
{"id": "group234.task_3"},
{"id": "group234.task_4"},
{"id": "group234.upstream_join_id"},
{"id": "group234.downstream_join_id"},
],
},
{"id": "task_1"},
{"id": "task_5"},
],
}
edges = dag_edges(dag)
assert sorted((e["source_id"], e["target_id"]) for e in edges) == [
("group234.downstream_join_id", "task_5"),
("group234.task_2", "group234.task_4"),
("group234.task_3", "group234.task_4"),
("group234.task_4", "group234.downstream_join_id"),
("group234.upstream_join_id", "group234.task_2"),
("group234.upstream_join_id", "group234.task_3"),
("task_1", "group234.upstream_join_id"),
]
def test_sub_dag_task_group():
"""
Tests dag.partial_subset() updates task_group correctly.
"""
execution_date = pendulum.parse("20200101")
with DAG("test_test_task_group_sub_dag", start_date=execution_date) as dag:
task1 = EmptyOperator(task_id="task1")
with TaskGroup("group234") as group234:
_ = EmptyOperator(task_id="task2")
with TaskGroup("group34") as group34:
_ = EmptyOperator(task_id="task3")
_ = EmptyOperator(task_id="task4")
with TaskGroup("group6") as group6:
_ = EmptyOperator(task_id="task6")
task7 = EmptyOperator(task_id="task7")
task5 = EmptyOperator(task_id="task5")
task1 >> group234
group34 >> task5
group234 >> group6
group234 >> task7
subdag = dag.partial_subset(task_ids_or_regex="task5", include_upstream=True, include_downstream=False)
assert extract_node_id(task_group_to_dict(subdag.task_group)) == {
"id": None,
"children": [
{
"id": "group234",
"children": [
{
"id": "group234.group34",
"children": [
{"id": "group234.group34.task3"},
{"id": "group234.group34.task4"},
{"id": "group234.group34.downstream_join_id"},
],
},
{"id": "group234.upstream_join_id"},
],
},
{"id": "task1"},
{"id": "task5"},
],
}
edges = dag_edges(subdag)
assert sorted((e["source_id"], e["target_id"]) for e in edges) == [
("group234.group34.downstream_join_id", "task5"),
("group234.group34.task3", "group234.group34.downstream_join_id"),
("group234.group34.task4", "group234.group34.downstream_join_id"),
("group234.upstream_join_id", "group234.group34.task3"),
("group234.upstream_join_id", "group234.group34.task4"),
("task1", "group234.upstream_join_id"),
]
subdag_task_groups = subdag.task_group.get_task_group_dict()
assert subdag_task_groups.keys() == {None, "group234", "group234.group34"}
included_group_ids = {"group234", "group234.group34"}
included_task_ids = {"group234.group34.task3", "group234.group34.task4", "task1", "task5"}
for task_group in subdag_task_groups.values():
assert task_group.upstream_group_ids.issubset(included_group_ids)
assert task_group.downstream_group_ids.issubset(included_group_ids)
assert task_group.upstream_task_ids.issubset(included_task_ids)
assert task_group.downstream_task_ids.issubset(included_task_ids)
for task in subdag.task_group:
assert task.upstream_task_ids.issubset(included_task_ids)
assert task.downstream_task_ids.issubset(included_task_ids)
def test_dag_edges():
execution_date = pendulum.parse("20200101")
with DAG("test_dag_edges", start_date=execution_date) as dag:
task1 = EmptyOperator(task_id="task1")
with TaskGroup("group_a") as group_a:
with TaskGroup("group_b") as group_b:
task2 = EmptyOperator(task_id="task2")
task3 = EmptyOperator(task_id="task3")
task4 = EmptyOperator(task_id="task4")
task2 >> [task3, task4]
task5 = EmptyOperator(task_id="task5")
task5 << group_b
task1 >> group_a
with TaskGroup("group_c") as group_c:
task6 = EmptyOperator(task_id="task6")
task7 = EmptyOperator(task_id="task7")
task8 = EmptyOperator(task_id="task8")
[task6, task7] >> task8
group_a >> group_c
task5 >> task8
task9 = EmptyOperator(task_id="task9")
task10 = EmptyOperator(task_id="task10")
group_c >> [task9, task10]
with TaskGroup("group_d") as group_d:
task11 = EmptyOperator(task_id="task11")
task12 = EmptyOperator(task_id="task12")
task11 >> task12
group_d << group_c
nodes = task_group_to_dict(dag.task_group)
edges = dag_edges(dag)
assert extract_node_id(nodes) == {
"id": None,
"children": [
{
"id": "group_a",
"children": [
{
"id": "group_a.group_b",
"children": [
{"id": "group_a.group_b.task2"},
{"id": "group_a.group_b.task3"},
{"id": "group_a.group_b.task4"},
{"id": "group_a.group_b.downstream_join_id"},
],
},
{"id": "group_a.task5"},
{"id": "group_a.upstream_join_id"},
{"id": "group_a.downstream_join_id"},
],
},
{
"id": "group_c",
"children": [
{"id": "group_c.task6"},
{"id": "group_c.task7"},
{"id": "group_c.task8"},
{"id": "group_c.upstream_join_id"},
{"id": "group_c.downstream_join_id"},
],
},
{
"id": "group_d",
"children": [
{"id": "group_d.task11"},
{"id": "group_d.task12"},
{"id": "group_d.upstream_join_id"},
],
},
{"id": "task1"},
{"id": "task10"},
{"id": "task9"},
],
}
assert sorted((e["source_id"], e["target_id"]) for e in edges) == [
("group_a.downstream_join_id", "group_c.upstream_join_id"),
("group_a.group_b.downstream_join_id", "group_a.task5"),
("group_a.group_b.task2", "group_a.group_b.task3"),
("group_a.group_b.task2", "group_a.group_b.task4"),
("group_a.group_b.task3", "group_a.group_b.downstream_join_id"),
("group_a.group_b.task4", "group_a.group_b.downstream_join_id"),
("group_a.task5", "group_a.downstream_join_id"),
("group_a.task5", "group_c.task8"),
("group_a.upstream_join_id", "group_a.group_b.task2"),
("group_c.downstream_join_id", "group_d.upstream_join_id"),
("group_c.downstream_join_id", "task10"),
("group_c.downstream_join_id", "task9"),
("group_c.task6", "group_c.task8"),
("group_c.task7", "group_c.task8"),
("group_c.task8", "group_c.downstream_join_id"),
("group_c.upstream_join_id", "group_c.task6"),
("group_c.upstream_join_id", "group_c.task7"),
("group_d.task11", "group_d.task12"),
("group_d.upstream_join_id", "group_d.task11"),
("task1", "group_a.upstream_join_id"),
]
def test_dag_edges_setup_teardown():
execution_date = pendulum.parse("20200101")
with DAG("test_dag_edges", start_date=execution_date) as dag:
setup1 = EmptyOperator(task_id="setup1").as_setup()
teardown1 = EmptyOperator(task_id="teardown1").as_teardown()
with setup1 >> teardown1:
EmptyOperator(task_id="task1")
with TaskGroup("group_a"):
setup2 = EmptyOperator(task_id="setup2").as_setup()
teardown2 = EmptyOperator(task_id="teardown2").as_teardown()
with setup2 >> teardown2:
EmptyOperator(task_id="task2")
edges = dag_edges(dag)
assert sorted((e["source_id"], e["target_id"], e.get("is_setup_teardown")) for e in edges) == [
("group_a.setup2", "group_a.task2", None),
("group_a.setup2", "group_a.teardown2", True),
("group_a.task2", "group_a.teardown2", None),
("setup1", "task1", None),
("setup1", "teardown1", True),
("task1", "teardown1", None),
]
def test_dag_edges_setup_teardown_nested():
from airflow.decorators import task, task_group
from airflow.models.dag import DAG
from airflow.operators.empty import EmptyOperator
execution_date = pendulum.parse("20200101")
with DAG(dag_id="s_t_dag", start_date=execution_date) as dag:
@task
def test_task():
print("Hello world!")
@task_group
def inner():
inner_start = EmptyOperator(task_id="start")
inner_end = EmptyOperator(task_id="end")
test_task_r = test_task.override(task_id="work")()
inner_start >> test_task_r >> inner_end.as_teardown(setups=inner_start)
@task_group
def outer():
outer_work = EmptyOperator(task_id="work")
inner_group = inner()
inner_group >> outer_work
dag_start = EmptyOperator(task_id="dag_start")
dag_end = EmptyOperator(task_id="dag_end")
dag_start >> outer() >> dag_end
edges = dag_edges(dag)
actual = sorted((e["source_id"], e["target_id"], e.get("is_setup_teardown")) for e in edges)
assert actual == [
("dag_start", "outer.upstream_join_id", None),
("outer.downstream_join_id", "dag_end", None),
("outer.inner.downstream_join_id", "outer.work", None),
("outer.inner.start", "outer.inner.end", True),
("outer.inner.start", "outer.inner.work", None),
("outer.inner.work", "outer.inner.downstream_join_id", None),
("outer.inner.work", "outer.inner.end", None),
("outer.upstream_join_id", "outer.inner.start", None),
("outer.work", "outer.downstream_join_id", None),
]
def test_duplicate_group_id():
from airflow.exceptions import DuplicateTaskIdFound
execution_date = pendulum.parse("20200101")
with pytest.raises(DuplicateTaskIdFound, match=r".* 'task1' .*"):
with DAG("test_duplicate_group_id", start_date=execution_date):
_ = EmptyOperator(task_id="task1")
with TaskGroup("task1"):
pass
with pytest.raises(DuplicateTaskIdFound, match=r".* 'group1' .*"):
with DAG("test_duplicate_group_id", start_date=execution_date):
_ = EmptyOperator(task_id="task1")
with TaskGroup("group1", prefix_group_id=False):
with TaskGroup("group1"):
pass
with pytest.raises(DuplicateTaskIdFound, match=r".* 'group1' .*"):
with DAG("test_duplicate_group_id", start_date=execution_date):
with TaskGroup("group1", prefix_group_id=False):
_ = EmptyOperator(task_id="group1")
with pytest.raises(DuplicateTaskIdFound, match=r".* 'group1.downstream_join_id' .*"):
with DAG("test_duplicate_group_id", start_date=execution_date):
_ = EmptyOperator(task_id="task1")
with TaskGroup("group1"):
_ = EmptyOperator(task_id="downstream_join_id")
with pytest.raises(DuplicateTaskIdFound, match=r".* 'group1.upstream_join_id' .*"):
with DAG("test_duplicate_group_id", start_date=execution_date):
_ = EmptyOperator(task_id="task1")
with TaskGroup("group1"):
_ = EmptyOperator(task_id="upstream_join_id")
def test_task_without_dag():
"""
Test that if a task doesn't have a DAG when it's being set as the relative of another task which
has a DAG, the task should be added to the root TaskGroup of the other task's DAG.
"""
dag = DAG(dag_id="test_task_without_dag", start_date=pendulum.parse("20200101"))
op1 = EmptyOperator(task_id="op1", dag=dag)
op2 = EmptyOperator(task_id="op2")
op3 = EmptyOperator(task_id="op3")
op1 >> op2
op3 >> op2
assert op1.dag == op2.dag == op3.dag
assert dag.task_group.children.keys() == {"op1", "op2", "op3"}
assert dag.task_group.children.keys() == dag.task_dict.keys()
# taskgroup decorator tests
def test_build_task_group_deco_context_manager():
"""
Tests Following :
1. Nested TaskGroup creation using taskgroup decorator should create same TaskGroup which can be
created using TaskGroup context manager.
2. TaskGroup consisting Tasks created using task decorator.
3. Node Ids of dags created with taskgroup decorator.
"""
from airflow.decorators import task
# Creating Tasks
@task
def task_start():
"""Dummy Task which is First Task of Dag"""
return "[Task_start]"
@task
def task_end():
"""Dummy Task which is Last Task of Dag"""
print("[ Task_End ]")
@task
def task_1(value):
"""Dummy Task1"""
return f"[ Task1 {value} ]"
@task
def task_2(value):
"""Dummy Task2"""
print(f"[ Task2 {value} ]")
@task
def task_3(value):
"""Dummy Task3"""
return f"[ Task3 {value} ]"
@task
def task_4(value):
"""Dummy Task3"""
print(f"[ Task4 {value} ]")
# Creating TaskGroups
@task_group_decorator
def section_1(value):
"""TaskGroup for grouping related Tasks"""
@task_group_decorator()
def section_2(value2):
"""TaskGroup for grouping related Tasks"""
return task_4(task_3(value2))
op1 = task_2(task_1(value))
return section_2(op1)
execution_date = pendulum.parse("20201109")
with DAG(
dag_id="example_nested_task_group_decorator", start_date=execution_date, tags=["example"]
) as dag:
t_start = task_start()
sec_1 = section_1(t_start)
sec_1.set_downstream(task_end())
# Testing TaskGroup created using taskgroup decorator
assert set(dag.task_group.children.keys()) == {"task_start", "task_end", "section_1"}
assert set(dag.task_group.children["section_1"].children.keys()) == {
"section_1.task_1",
"section_1.task_2",
"section_1.section_2",
}
# Testing TaskGroup consisting Tasks created using task decorator
assert dag.task_dict["task_start"].downstream_task_ids == {"section_1.task_1"}
assert dag.task_dict["section_1.task_2"].downstream_task_ids == {"section_1.section_2.task_3"}
assert dag.task_dict["section_1.section_2.task_4"].downstream_task_ids == {"task_end"}
# Node IDs test
node_ids = {
"id": None,
"children": [
{
"id": "section_1",
"children": [
{
"id": "section_1.section_2",
"children": [
{"id": "section_1.section_2.task_3"},
{"id": "section_1.section_2.task_4"},
],
},
{"id": "section_1.task_1"},
{"id": "section_1.task_2"},
],
},
{"id": "task_end"},
{"id": "task_start"},
],
}
assert extract_node_id(task_group_to_dict(dag.task_group)) == node_ids
def test_build_task_group_depended_by_task():
"""A decorator-based task group should be able to be used as a relative to operators."""
from airflow.decorators import dag as dag_decorator, task
@dag_decorator(start_date=pendulum.now())
def build_task_group_depended_by_task():
@task
def task_start():
return "[Task_start]"
@task
def task_end():
return "[Task_end]"
@task
def task_thing(value):
return f"[Task_thing {value}]"
@task_group_decorator
def section_1():
task_thing(1)
task_thing(2)
task_start() >> section_1() >> task_end()
dag = build_task_group_depended_by_task()
task_thing_1 = dag.task_dict["section_1.task_thing"]
task_thing_2 = dag.task_dict["section_1.task_thing__1"]
# Tasks in the task group don't depend on each other; they both become
# downstreams to task_start, and upstreams to task_end.
assert task_thing_1.upstream_task_ids == task_thing_2.upstream_task_ids == {"task_start"}
assert task_thing_1.downstream_task_ids == task_thing_2.downstream_task_ids == {"task_end"}
def test_build_task_group_with_operators():
"""Tests DAG with Tasks created with *Operators and TaskGroup created with taskgroup decorator"""
from airflow.decorators import task
def task_start():
"""Dummy Task which is First Task of Dag"""
return "[Task_start]"
def task_end():
"""Dummy Task which is Last Task of Dag"""
print("[ Task_End ]")
# Creating Tasks
@task
def task_1(value):
"""Dummy Task1"""
return f"[ Task1 {value} ]"
@task
def task_2(value):
"""Dummy Task2"""
return f"[ Task2 {value} ]"
@task
def task_3(value):
"""Dummy Task3"""
print(f"[ Task3 {value} ]")
# Creating TaskGroups
@task_group_decorator(group_id="section_1")
def section_a(value):
"""TaskGroup for grouping related Tasks"""
return task_3(task_2(task_1(value)))
execution_date = pendulum.parse("20201109")
with DAG(dag_id="example_task_group_decorator_mix", start_date=execution_date, tags=["example"]) as dag:
t_start = PythonOperator(task_id="task_start", python_callable=task_start, dag=dag)
sec_1 = section_a(t_start.output)
t_end = PythonOperator(task_id="task_end", python_callable=task_end, dag=dag)
sec_1.set_downstream(t_end)
# Testing Tasks in DAG
assert set(dag.task_group.children.keys()) == {"section_1", "task_start", "task_end"}
assert set(dag.task_group.children["section_1"].children.keys()) == {
"section_1.task_2",
"section_1.task_3",
"section_1.task_1",
}
# Testing Tasks downstream
assert dag.task_dict["task_start"].downstream_task_ids == {"section_1.task_1"}
assert dag.task_dict["section_1.task_3"].downstream_task_ids == {"task_end"}
def test_task_group_context_mix():
"""Test cases to check nested TaskGroup context manager with taskgroup decorator"""
from airflow.decorators import task
def task_start():
"""Dummy Task which is First Task of Dag"""
return "[Task_start]"
def task_end():
"""Dummy Task which is Last Task of Dag"""
print("[ Task_End ]")
# Creating Tasks
@task
def task_1(value):
"""Dummy Task1"""
return f"[ Task1 {value} ]"
@task
def task_2(value):
"""Dummy Task2"""
return f"[ Task2 {value} ]"
@task
def task_3(value):
"""Dummy Task3"""
print(f"[ Task3 {value} ]")
# Creating TaskGroups
@task_group_decorator
def section_2(value):
"""TaskGroup for grouping related Tasks"""
return task_3(task_2(task_1(value)))
execution_date = pendulum.parse("20201109")
with DAG(dag_id="example_task_group_decorator_mix", start_date=execution_date, tags=["example"]) as dag:
t_start = PythonOperator(task_id="task_start", python_callable=task_start, dag=dag)
with TaskGroup("section_1", tooltip="section_1") as section_1:
sec_2 = section_2(t_start.output)
task_s1 = EmptyOperator(task_id="task_1")
task_s2 = BashOperator(task_id="task_2", bash_command="echo 1")
task_s3 = EmptyOperator(task_id="task_3")
sec_2.set_downstream(task_s1)
task_s1 >> [task_s2, task_s3]
t_end = PythonOperator(task_id="task_end", python_callable=task_end, dag=dag)
t_start >> section_1 >> t_end
node_ids = {
"id": None,
"children": [
{
"id": "section_1",
"children": [
{
"id": "section_1.section_2",
"children": [
{"id": "section_1.section_2.task_1"},
{"id": "section_1.section_2.task_2"},
{"id": "section_1.section_2.task_3"},
],
},
{"id": "section_1.task_1"},
{"id": "section_1.task_2"},
{"id": "section_1.task_3"},
{"id": "section_1.upstream_join_id"},
{"id": "section_1.downstream_join_id"},
],
},
{"id": "task_end"},
{"id": "task_start"},
],
}
assert extract_node_id(task_group_to_dict(dag.task_group)) == node_ids
def test_default_args():
"""Testing TaskGroup with default_args"""
execution_date = pendulum.parse("20201109")
with DAG(
dag_id="example_task_group_default_args",
start_date=execution_date,
default_args={
"owner": "dag",
},
):
with TaskGroup("group1", default_args={"owner": "group"}):
task_1 = EmptyOperator(task_id="task_1")
task_2 = EmptyOperator(task_id="task_2", owner="task")
task_3 = EmptyOperator(task_id="task_3", default_args={"owner": "task"})
assert task_1.owner == "group"
assert task_2.owner == "task"
assert task_3.owner == "task"
def test_duplicate_task_group_id():
"""Testing automatic suffix assignment for duplicate group_id"""
from airflow.decorators import task
@task(task_id="start_task")
def task_start():
"""Dummy Task which is First Task of Dag"""
print("[Task_start]")
@task(task_id="end_task")
def task_end():
"""Dummy Task which is Last Task of Dag"""
print("[Task_End]")
# Creating Tasks
@task(task_id="task")