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test_task_instance_schema.py
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test_task_instance_schema.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
import datetime as dt
import pytest
from marshmallow import ValidationError
from airflow.api_connexion.schemas.task_instance_schema import (
clear_task_instance_form,
set_task_instance_state_form,
task_instance_schema,
)
from airflow.models import RenderedTaskInstanceFields as RTIF, SlaMiss, TaskInstance as TI
from airflow.operators.empty import EmptyOperator
from airflow.utils.platform import getuser
from airflow.utils.state import State
from airflow.utils.timezone import datetime
@pytest.mark.db_test
class TestTaskInstanceSchema:
@pytest.fixture(autouse=True)
def set_attrs(self, session, dag_maker):
self.default_time = datetime(2020, 1, 1)
with dag_maker(dag_id="TEST_DAG_ID", session=session):
self.task = EmptyOperator(task_id="TEST_TASK_ID", start_date=self.default_time)
self.dr = dag_maker.create_dagrun(execution_date=self.default_time)
session.flush()
self.default_ti_init = {
"run_id": None,
"state": State.RUNNING,
}
self.default_ti_extras = {
"dag_run": self.dr,
"start_date": self.default_time + dt.timedelta(days=1),
"end_date": self.default_time + dt.timedelta(days=2),
"pid": 100,
"duration": 10000,
"pool": "default_pool",
"queue": "default_queue",
"note": "added some notes",
}
yield
session.rollback()
def test_task_instance_schema_without_sla_and_rendered(self, session):
ti = TI(task=self.task, **self.default_ti_init)
for key, value in self.default_ti_extras.items():
setattr(ti, key, value)
serialized_ti = task_instance_schema.dump((ti, None, None))
expected_json = {
"dag_id": "TEST_DAG_ID",
"duration": 10000.0,
"end_date": "2020-01-03T00:00:00+00:00",
"execution_date": "2020-01-01T00:00:00+00:00",
"executor_config": "{}",
"hostname": "",
"map_index": -1,
"max_tries": 0,
"note": "added some notes",
"operator": "EmptyOperator",
"pid": 100,
"pool": "default_pool",
"pool_slots": 1,
"priority_weight": 1,
"queue": "default_queue",
"queued_when": None,
"sla_miss": None,
"start_date": "2020-01-02T00:00:00+00:00",
"state": "running",
"task_id": "TEST_TASK_ID",
"task_display_name": "TEST_TASK_ID",
"try_number": 0,
"unixname": getuser(),
"dag_run_id": None,
"rendered_fields": {},
"rendered_map_index": None,
"trigger": None,
"triggerer_job": None,
}
assert serialized_ti == expected_json
def test_task_instance_schema_with_sla_and_rendered(self, session):
sla_miss = SlaMiss(
task_id="TEST_TASK_ID",
dag_id="TEST_DAG_ID",
execution_date=self.default_time,
)
session.add(sla_miss)
session.flush()
ti = TI(task=self.task, **self.default_ti_init)
for key, value in self.default_ti_extras.items():
setattr(ti, key, value)
self.task.template_fields = ["partitions"]
setattr(self.task, "partitions", "data/ds=2022-02-17")
ti.rendered_task_instance_fields = RTIF(ti, render_templates=False)
serialized_ti = task_instance_schema.dump((ti, sla_miss))
expected_json = {
"dag_id": "TEST_DAG_ID",
"duration": 10000.0,
"end_date": "2020-01-03T00:00:00+00:00",
"execution_date": "2020-01-01T00:00:00+00:00",
"executor_config": "{}",
"hostname": "",
"map_index": -1,
"max_tries": 0,
"note": "added some notes",
"operator": "EmptyOperator",
"pid": 100,
"pool": "default_pool",
"pool_slots": 1,
"priority_weight": 1,
"queue": "default_queue",
"queued_when": None,
"sla_miss": {
"dag_id": "TEST_DAG_ID",
"description": None,
"email_sent": False,
"execution_date": "2020-01-01T00:00:00+00:00",
"notification_sent": False,
"task_id": "TEST_TASK_ID",
"timestamp": None,
},
"start_date": "2020-01-02T00:00:00+00:00",
"state": "running",
"task_id": "TEST_TASK_ID",
"task_display_name": "TEST_TASK_ID",
"try_number": 0,
"unixname": getuser(),
"dag_run_id": None,
"rendered_fields": {"partitions": "data/ds=2022-02-17"},
"rendered_map_index": None,
"trigger": None,
"triggerer_job": None,
}
assert serialized_ti == expected_json
class TestClearTaskInstanceFormSchema:
@pytest.mark.parametrize(
"payload",
[
(
{
"dry_run": False,
"reset_dag_runs": True,
"only_failed": True,
"only_running": True,
}
),
(
{
"dry_run": False,
"reset_dag_runs": True,
"end_date": "2020-01-01T00:00:00+00:00",
"start_date": "2020-01-02T00:00:00+00:00",
}
),
(
{
"dry_run": False,
"reset_dag_runs": True,
"task_ids": [],
}
),
(
{
"dry_run": False,
"reset_dag_runs": True,
"dag_run_id": "scheduled__2022-06-19T00:00:00+00:00",
"start_date": "2022-08-03T00:00:00+00:00",
}
),
(
{
"dry_run": False,
"reset_dag_runs": True,
"dag_run_id": "scheduled__2022-06-19T00:00:00+00:00",
"end_date": "2022-08-03T00:00:00+00:00",
}
),
(
{
"dry_run": False,
"reset_dag_runs": True,
"dag_run_id": "scheduled__2022-06-19T00:00:00+00:00",
"end_date": "2022-08-04T00:00:00+00:00",
"start_date": "2022-08-03T00:00:00+00:00",
}
),
],
)
def test_validation_error(self, payload):
with pytest.raises(ValidationError):
clear_task_instance_form.load(payload)
class TestSetTaskInstanceStateFormSchema:
current_input = {
"dry_run": True,
"task_id": "print_the_context",
"execution_date": "2020-01-01T00:00:00+00:00",
"include_upstream": True,
"include_downstream": True,
"include_future": True,
"include_past": True,
"new_state": "failed",
}
def test_success(self):
result = set_task_instance_state_form.load(self.current_input)
expected_result = {
"dry_run": True,
"execution_date": dt.datetime(2020, 1, 1, 0, 0, tzinfo=dt.timezone(dt.timedelta(0), "+0000")),
"include_downstream": True,
"include_future": True,
"include_past": True,
"include_upstream": True,
"new_state": "failed",
"task_id": "print_the_context",
}
assert expected_result == result
def test_dry_run_is_optional(self):
data = self.current_input.copy()
data.pop("dry_run")
result = set_task_instance_state_form.load(self.current_input)
expected_result = {
"dry_run": True,
"execution_date": dt.datetime(2020, 1, 1, 0, 0, tzinfo=dt.timezone(dt.timedelta(0), "+0000")),
"include_downstream": True,
"include_future": True,
"include_past": True,
"include_upstream": True,
"new_state": "failed",
"task_id": "print_the_context",
}
assert expected_result == result
@pytest.mark.parametrize(
"override_data",
[
{"task_id": None},
{"include_future": "foo"},
{"execution_date": "NOW"},
{"new_state": "INVALID_STATE"},
{"execution_date": "2020-01-01T00:00:00+00:00", "dag_run_id": "some-run-id"},
],
)
def test_validation_error(self, override_data):
self.current_input.update(override_data)
with pytest.raises(ValidationError):
set_task_instance_state_form.load(self.current_input)