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test_dag_endpoint.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 os
import unittest.mock
from datetime import datetime
import pendulum
import pytest
from airflow.api_connexion.exceptions import EXCEPTIONS_LINK_MAP
from airflow.models import DagBag, DagModel
from airflow.models.dag import DAG
from airflow.models.serialized_dag import SerializedDagModel
from airflow.operators.empty import EmptyOperator
from airflow.security import permissions
from airflow.utils.session import provide_session
from airflow.utils.state import TaskInstanceState
from tests.test_utils.api_connexion_utils import assert_401, create_user, delete_user
from tests.test_utils.config import conf_vars
from tests.test_utils.db import clear_db_dags, clear_db_runs, clear_db_serialized_dags
from tests.test_utils.www import _check_last_log
pytestmark = [pytest.mark.db_test, pytest.mark.skip_if_database_isolation_mode]
@pytest.fixture
def current_file_token(url_safe_serializer) -> str:
return url_safe_serializer.dumps(__file__)
DAG_ID = "test_dag"
TASK_ID = "op1"
DAG2_ID = "test_dag2"
DAG3_ID = "test_dag3"
UTC_JSON_REPR = "UTC" if pendulum.__version__.startswith("3") else "Timezone('UTC')"
@pytest.fixture(scope="module")
def configured_app(minimal_app_for_api):
app = minimal_app_for_api
create_user(
app, # type: ignore
username="test",
role_name="Test",
permissions=[
(permissions.ACTION_CAN_READ, permissions.RESOURCE_DAG),
(permissions.ACTION_CAN_EDIT, permissions.RESOURCE_DAG),
(permissions.ACTION_CAN_DELETE, permissions.RESOURCE_DAG),
],
)
create_user(app, username="test_no_permissions", role_name="TestNoPermissions") # type: ignore
create_user(app, username="test_granular_permissions", role_name="TestGranularDag") # type: ignore
app.appbuilder.sm.sync_perm_for_dag( # type: ignore
"TEST_DAG_1",
access_control={
"TestGranularDag": {
permissions.RESOURCE_DAG: {permissions.ACTION_CAN_EDIT, permissions.ACTION_CAN_READ}
},
},
)
app.appbuilder.sm.sync_perm_for_dag( # type: ignore
"TEST_DAG_1",
access_control={
"TestGranularDag": {
permissions.RESOURCE_DAG: {permissions.ACTION_CAN_EDIT, permissions.ACTION_CAN_READ}
},
},
)
with DAG(
DAG_ID,
start_date=datetime(2020, 6, 15),
doc_md="details",
params={"foo": 1},
tags=["example"],
) as dag:
EmptyOperator(task_id=TASK_ID)
with DAG(DAG2_ID, start_date=datetime(2020, 6, 15)) as dag2: # no doc_md
EmptyOperator(task_id=TASK_ID)
with DAG(DAG3_ID) as dag3: # DAG start_date set to None
EmptyOperator(task_id=TASK_ID, start_date=datetime(2019, 6, 12))
dag_bag = DagBag(os.devnull, include_examples=False)
dag_bag.dags = {dag.dag_id: dag, dag2.dag_id: dag2, dag3.dag_id: dag3}
app.dag_bag = dag_bag
yield app
delete_user(app, username="test") # type: ignore
delete_user(app, username="test_no_permissions") # type: ignore
delete_user(app, username="test_granular_permissions") # type: ignore
class TestDagEndpoint:
@staticmethod
def clean_db():
clear_db_runs()
clear_db_dags()
clear_db_serialized_dags()
@pytest.fixture(autouse=True)
def setup_attrs(self, configured_app) -> None:
self.clean_db()
self.app = configured_app
self.client = self.app.test_client() # type:ignore
self.dag_id = DAG_ID
self.dag2_id = DAG2_ID
self.dag3_id = DAG3_ID
def teardown_method(self) -> None:
self.clean_db()
@provide_session
def _create_dag_models(self, count, dag_id_prefix="TEST_DAG", is_paused=False, session=None):
for num in range(1, count + 1):
dag_model = DagModel(
dag_id=f"{dag_id_prefix}_{num}",
fileloc=f"/tmp/dag_{num}.py",
schedule_interval="2 2 * * *",
is_active=True,
is_paused=is_paused,
)
session.add(dag_model)
@provide_session
def _create_dag_model_for_details_endpoint(self, dag_id, session=None):
dag_model = DagModel(
dag_id=dag_id,
fileloc="/tmp/dag.py",
schedule_interval="2 2 * * *",
is_active=True,
is_paused=False,
)
session.add(dag_model)
@provide_session
def _create_dag_model_for_details_endpoint_with_dataset_expression(self, dag_id, session=None):
dag_model = DagModel(
dag_id=dag_id,
fileloc="/tmp/dag.py",
schedule_interval="2 2 * * *",
is_active=True,
is_paused=False,
dataset_expression={
"any": [
"s3://dag1/output_1.txt",
{"all": ["s3://dag2/output_1.txt", "s3://dag3/output_3.txt"]},
]
},
)
session.add(dag_model)
@provide_session
def _create_deactivated_dag(self, session=None):
dag_model = DagModel(
dag_id="TEST_DAG_DELETED_1",
fileloc="/tmp/dag_del_1.py",
schedule_interval="2 2 * * *",
is_active=False,
)
session.add(dag_model)
class TestGetDag(TestDagEndpoint):
@conf_vars({("webserver", "secret_key"): "mysecret"})
def test_should_respond_200(self):
self._create_dag_models(1)
response = self.client.get("/api/v1/dags/TEST_DAG_1", environ_overrides={"REMOTE_USER": "test"})
assert response.status_code == 200
assert {
"dag_id": "TEST_DAG_1",
"dag_display_name": "TEST_DAG_1",
"description": None,
"fileloc": "/tmp/dag_1.py",
"file_token": "Ii90bXAvZGFnXzEucHki.EnmIdPaUPo26lHQClbWMbDFD1Pk",
"is_paused": False,
"is_active": True,
"is_subdag": False,
"owners": [],
"root_dag_id": None,
"schedule_interval": {"__type": "CronExpression", "value": "2 2 * * *"},
"tags": [],
"next_dagrun": None,
"has_task_concurrency_limits": True,
"next_dagrun_data_interval_start": None,
"next_dagrun_data_interval_end": None,
"max_active_runs": 16,
"max_consecutive_failed_dag_runs": 0,
"next_dagrun_create_after": None,
"last_expired": None,
"max_active_tasks": 16,
"last_pickled": None,
"default_view": None,
"last_parsed_time": None,
"scheduler_lock": None,
"timetable_description": None,
"has_import_errors": False,
"pickle_id": None,
} == response.json
@conf_vars({("webserver", "secret_key"): "mysecret"})
def test_should_respond_200_with_schedule_interval_none(self, session):
dag_model = DagModel(
dag_id="TEST_DAG_1",
fileloc="/tmp/dag_1.py",
schedule_interval=None,
is_paused=False,
)
session.add(dag_model)
session.commit()
response = self.client.get("/api/v1/dags/TEST_DAG_1", environ_overrides={"REMOTE_USER": "test"})
assert response.status_code == 200
assert {
"dag_id": "TEST_DAG_1",
"dag_display_name": "TEST_DAG_1",
"description": None,
"fileloc": "/tmp/dag_1.py",
"file_token": "Ii90bXAvZGFnXzEucHki.EnmIdPaUPo26lHQClbWMbDFD1Pk",
"is_paused": False,
"is_active": False,
"is_subdag": False,
"owners": [],
"root_dag_id": None,
"schedule_interval": None,
"tags": [],
"next_dagrun": None,
"has_task_concurrency_limits": True,
"next_dagrun_data_interval_start": None,
"next_dagrun_data_interval_end": None,
"max_active_runs": 16,
"max_consecutive_failed_dag_runs": 0,
"next_dagrun_create_after": None,
"last_expired": None,
"max_active_tasks": 16,
"last_pickled": None,
"default_view": None,
"last_parsed_time": None,
"scheduler_lock": None,
"timetable_description": None,
"has_import_errors": False,
"pickle_id": None,
} == response.json
def test_should_respond_200_with_granular_dag_access(self):
self._create_dag_models(1)
response = self.client.get(
"/api/v1/dags/TEST_DAG_1", environ_overrides={"REMOTE_USER": "test_granular_permissions"}
)
assert response.status_code == 200
def test_should_respond_404(self):
response = self.client.get("/api/v1/dags/INVALID_DAG", environ_overrides={"REMOTE_USER": "test"})
assert response.status_code == 404
def test_should_raises_401_unauthenticated(self):
self._create_dag_models(1)
response = self.client.get("/api/v1/dags/TEST_DAG_1")
assert_401(response)
def test_should_raise_403_forbidden(self):
response = self.client.get(
f"/api/v1/dags/{self.dag_id}/details", environ_overrides={"REMOTE_USER": "test_no_permissions"}
)
assert response.status_code == 403
def test_should_respond_403_with_granular_access_for_different_dag(self):
self._create_dag_models(3)
response = self.client.get(
"/api/v1/dags/TEST_DAG_2", environ_overrides={"REMOTE_USER": "test_granular_permissions"}
)
assert response.status_code == 403
@pytest.mark.parametrize(
"fields",
[
["dag_id"], # only one
["fileloc", "file_token", "owners"], # auto_field and fields.Method
["schedule_interval", "tags"], # fields.List
],
)
def test_should_return_specified_fields(self, fields):
self._create_dag_models(1)
response = self.client.get(
f"/api/v1/dags/TEST_DAG_1?fields={','.join(fields)}", environ_overrides={"REMOTE_USER": "test"}
)
res_json = response.json
assert len(res_json.keys()) == len(fields)
for field in fields:
assert field in res_json
@pytest.mark.parametrize(
"fields",
[
[], # empty test
["#caw&c"], # field which not exists
["dag_id", "#caw&c"], # field which not exists
],
)
def test_should_respond_400_with_not_exists_fields(self, fields):
self._create_dag_models(1)
response = self.client.get(
f"/api/v1/dags/TEST_DAG_1?fields={','.join(fields)}", environ_overrides={"REMOTE_USER": "test"}
)
assert response.status_code == 400, f"Current code: {response.status_code}"
@pytest.mark.parametrize(
"set_auto_role_public, expected_status_code",
(("Public", 403), ("Admin", 200)),
indirect=["set_auto_role_public"],
)
def test_with_auth_role_public_set(self, set_auto_role_public, expected_status_code, session):
dag_model = DagModel(
dag_id="TEST_DAG_1",
fileloc="/tmp/dag_1.py",
schedule_interval=None,
is_paused=False,
)
session.add(dag_model)
session.commit()
response = self.client.get("/api/v1/dags/TEST_DAG_1")
assert response.status_code == expected_status_code
class TestGetDagDetails(TestDagEndpoint):
def test_should_respond_200(self, url_safe_serializer):
self._create_dag_model_for_details_endpoint(self.dag_id)
current_file_token = url_safe_serializer.dumps("/tmp/dag.py")
response = self.client.get(
f"/api/v1/dags/{self.dag_id}/details", environ_overrides={"REMOTE_USER": "test"}
)
assert response.status_code == 200
last_parsed = response.json["last_parsed"]
expected = {
"catchup": True,
"concurrency": 16,
"dag_id": "test_dag",
"dag_display_name": "test_dag",
"dag_run_timeout": None,
"dataset_expression": None,
"default_view": None,
"description": None,
"doc_md": "details",
"end_date": None,
"fileloc": "/tmp/dag.py",
"file_token": current_file_token,
"has_import_errors": False,
"has_task_concurrency_limits": True,
"is_active": True,
"is_paused": False,
"is_paused_upon_creation": None,
"is_subdag": False,
"last_expired": None,
"last_parsed": last_parsed,
"last_parsed_time": None,
"last_pickled": None,
"max_active_runs": 16,
"max_active_tasks": 16,
"max_consecutive_failed_dag_runs": 0,
"next_dagrun": None,
"next_dagrun_create_after": None,
"next_dagrun_data_interval_end": None,
"next_dagrun_data_interval_start": None,
"orientation": "LR",
"owners": [],
"params": {
"foo": {
"__class": "airflow.models.param.Param",
"description": None,
"schema": {},
"value": 1,
}
},
"pickle_id": None,
"render_template_as_native_obj": False,
"root_dag_id": None,
"schedule_interval": {"__type": "CronExpression", "value": "2 2 * * *"},
"scheduler_lock": None,
"start_date": "2020-06-15T00:00:00+00:00",
"tags": [],
"template_searchpath": None,
"timetable_description": None,
"timezone": UTC_JSON_REPR,
}
assert response.json == expected
def test_should_respond_200_with_dataset_expression(self, url_safe_serializer):
self._create_dag_model_for_details_endpoint_with_dataset_expression(self.dag_id)
current_file_token = url_safe_serializer.dumps("/tmp/dag.py")
response = self.client.get(
f"/api/v1/dags/{self.dag_id}/details", environ_overrides={"REMOTE_USER": "test"}
)
assert response.status_code == 200
last_parsed = response.json["last_parsed"]
expected = {
"catchup": True,
"concurrency": 16,
"dag_id": "test_dag",
"dag_display_name": "test_dag",
"dag_run_timeout": None,
"dataset_expression": {
"any": [
"s3://dag1/output_1.txt",
{"all": ["s3://dag2/output_1.txt", "s3://dag3/output_3.txt"]},
]
},
"default_view": None,
"description": None,
"doc_md": "details",
"end_date": None,
"fileloc": "/tmp/dag.py",
"file_token": current_file_token,
"has_import_errors": False,
"has_task_concurrency_limits": True,
"is_active": True,
"is_paused": False,
"is_paused_upon_creation": None,
"is_subdag": False,
"last_expired": None,
"last_parsed": last_parsed,
"last_parsed_time": None,
"last_pickled": None,
"max_active_runs": 16,
"max_consecutive_failed_dag_runs": 0,
"max_active_tasks": 16,
"next_dagrun": None,
"next_dagrun_create_after": None,
"next_dagrun_data_interval_end": None,
"next_dagrun_data_interval_start": None,
"orientation": "LR",
"owners": [],
"params": {
"foo": {
"__class": "airflow.models.param.Param",
"description": None,
"schema": {},
"value": 1,
}
},
"pickle_id": None,
"render_template_as_native_obj": False,
"root_dag_id": None,
"schedule_interval": {"__type": "CronExpression", "value": "2 2 * * *"},
"scheduler_lock": None,
"start_date": "2020-06-15T00:00:00+00:00",
"tags": [],
"template_searchpath": None,
"timetable_description": None,
"timezone": UTC_JSON_REPR,
}
assert response.json == expected
def test_should_response_200_with_doc_md_none(self, url_safe_serializer):
current_file_token = url_safe_serializer.dumps("/tmp/dag.py")
self._create_dag_model_for_details_endpoint(self.dag2_id)
response = self.client.get(
f"/api/v1/dags/{self.dag2_id}/details", environ_overrides={"REMOTE_USER": "test"}
)
assert response.status_code == 200
last_parsed = response.json["last_parsed"]
expected = {
"catchup": True,
"concurrency": 16,
"dag_id": "test_dag2",
"dag_display_name": "test_dag2",
"dag_run_timeout": None,
"dataset_expression": None,
"default_view": None,
"description": None,
"doc_md": None,
"end_date": None,
"fileloc": "/tmp/dag.py",
"file_token": current_file_token,
"has_import_errors": False,
"has_task_concurrency_limits": True,
"is_active": True,
"is_paused": False,
"is_paused_upon_creation": None,
"is_subdag": False,
"last_expired": None,
"last_parsed": last_parsed,
"last_parsed_time": None,
"last_pickled": None,
"max_active_runs": 16,
"max_consecutive_failed_dag_runs": 0,
"max_active_tasks": 16,
"next_dagrun": None,
"next_dagrun_create_after": None,
"next_dagrun_data_interval_end": None,
"next_dagrun_data_interval_start": None,
"orientation": "LR",
"owners": [],
"params": {},
"pickle_id": None,
"render_template_as_native_obj": False,
"root_dag_id": None,
"schedule_interval": {"__type": "CronExpression", "value": "2 2 * * *"},
"scheduler_lock": None,
"start_date": "2020-06-15T00:00:00+00:00",
"tags": [],
"template_searchpath": None,
"timetable_description": None,
"timezone": UTC_JSON_REPR,
}
assert response.json == expected
def test_should_response_200_for_null_start_date(self, url_safe_serializer):
current_file_token = url_safe_serializer.dumps("/tmp/dag.py")
self._create_dag_model_for_details_endpoint(self.dag3_id)
response = self.client.get(
f"/api/v1/dags/{self.dag3_id}/details", environ_overrides={"REMOTE_USER": "test"}
)
assert response.status_code == 200
last_parsed = response.json["last_parsed"]
expected = {
"catchup": True,
"concurrency": 16,
"dag_id": "test_dag3",
"dag_display_name": "test_dag3",
"dag_run_timeout": None,
"dataset_expression": None,
"default_view": None,
"description": None,
"doc_md": None,
"end_date": None,
"fileloc": "/tmp/dag.py",
"file_token": current_file_token,
"has_import_errors": False,
"has_task_concurrency_limits": True,
"is_active": True,
"is_paused": False,
"is_paused_upon_creation": None,
"is_subdag": False,
"last_expired": None,
"last_parsed": last_parsed,
"last_parsed_time": None,
"last_pickled": None,
"max_active_runs": 16,
"max_consecutive_failed_dag_runs": 0,
"max_active_tasks": 16,
"next_dagrun": None,
"next_dagrun_create_after": None,
"next_dagrun_data_interval_end": None,
"next_dagrun_data_interval_start": None,
"orientation": "LR",
"owners": [],
"params": {},
"pickle_id": None,
"render_template_as_native_obj": False,
"root_dag_id": None,
"schedule_interval": {"__type": "CronExpression", "value": "2 2 * * *"},
"scheduler_lock": None,
"start_date": None,
"tags": [],
"template_searchpath": None,
"timetable_description": None,
"timezone": UTC_JSON_REPR,
}
assert response.json == expected
def test_should_respond_200_serialized(self, url_safe_serializer):
current_file_token = url_safe_serializer.dumps("/tmp/dag.py")
self._create_dag_model_for_details_endpoint(self.dag_id)
# Get the dag out of the dagbag before we patch it to an empty one
SerializedDagModel.write_dag(self.app.dag_bag.get_dag(self.dag_id))
# Create empty app with empty dagbag to check if DAG is read from db
dag_bag = DagBag(os.devnull, include_examples=False, read_dags_from_db=True)
patcher = unittest.mock.patch.object(self.app, "dag_bag", dag_bag)
patcher.start()
expected = {
"catchup": True,
"concurrency": 16,
"dag_id": "test_dag",
"dag_display_name": "test_dag",
"dag_run_timeout": None,
"dataset_expression": None,
"default_view": None,
"description": None,
"doc_md": "details",
"end_date": None,
"file_token": current_file_token,
"fileloc": "/tmp/dag.py",
"has_import_errors": False,
"has_task_concurrency_limits": True,
"is_active": True,
"is_paused": False,
"is_paused_upon_creation": None,
"is_subdag": False,
"last_expired": None,
"last_parsed_time": None,
"last_pickled": None,
"max_active_runs": 16,
"max_consecutive_failed_dag_runs": 0,
"max_active_tasks": 16,
"next_dagrun": None,
"next_dagrun_create_after": None,
"next_dagrun_data_interval_end": None,
"next_dagrun_data_interval_start": None,
"orientation": "LR",
"owners": [],
"params": {
"foo": {
"__class": "airflow.models.param.Param",
"description": None,
"schema": {},
"value": 1,
}
},
"pickle_id": None,
"render_template_as_native_obj": False,
"root_dag_id": None,
"schedule_interval": {"__type": "CronExpression", "value": "2 2 * * *"},
"scheduler_lock": None,
"start_date": "2020-06-15T00:00:00+00:00",
"tags": [],
"template_searchpath": None,
"timetable_description": None,
"timezone": UTC_JSON_REPR,
}
response = self.client.get(
f"/api/v1/dags/{self.dag_id}/details", environ_overrides={"REMOTE_USER": "test"}
)
assert response.status_code == 200
expected.update({"last_parsed": response.json["last_parsed"]})
assert response.json == expected
patcher.stop()
response = self.client.get(
f"/api/v1/dags/{self.dag_id}/details", environ_overrides={"REMOTE_USER": "test"}
)
assert response.status_code == 200
expected = {
"catchup": True,
"concurrency": 16,
"dag_id": "test_dag",
"dag_display_name": "test_dag",
"dag_run_timeout": None,
"dataset_expression": None,
"default_view": None,
"description": None,
"doc_md": "details",
"end_date": None,
"file_token": current_file_token,
"fileloc": "/tmp/dag.py",
"has_import_errors": False,
"has_task_concurrency_limits": True,
"is_active": True,
"is_paused": False,
"is_paused_upon_creation": None,
"is_subdag": False,
"last_expired": None,
"last_parsed_time": None,
"last_pickled": None,
"max_active_runs": 16,
"max_consecutive_failed_dag_runs": 0,
"max_active_tasks": 16,
"next_dagrun": None,
"next_dagrun_create_after": None,
"next_dagrun_data_interval_end": None,
"next_dagrun_data_interval_start": None,
"orientation": "LR",
"owners": [],
"params": {
"foo": {
"__class": "airflow.models.param.Param",
"description": None,
"schema": {},
"value": 1,
}
},
"pickle_id": None,
"render_template_as_native_obj": False,
"root_dag_id": None,
"schedule_interval": {"__type": "CronExpression", "value": "2 2 * * *"},
"scheduler_lock": None,
"start_date": "2020-06-15T00:00:00+00:00",
"tags": [],
"template_searchpath": None,
"timetable_description": None,
"timezone": UTC_JSON_REPR,
}
expected.update({"last_parsed": response.json["last_parsed"]})
assert response.json == expected
def test_should_raises_401_unauthenticated(self):
response = self.client.get(f"/api/v1/dags/{self.dag_id}/details")
assert_401(response)
def test_should_raise_404_when_dag_is_not_found(self):
response = self.client.get(
"/api/v1/dags/non_existing_dag_id/details", environ_overrides={"REMOTE_USER": "test"}
)
assert response.status_code == 404
assert response.json == {
"detail": "The DAG with dag_id: non_existing_dag_id was not found",
"status": 404,
"title": "DAG not found",
"type": EXCEPTIONS_LINK_MAP[404],
}
@pytest.mark.parametrize(
"fields",
[
["dag_id"], # only one
["doc_md", "file_token", "owners"], # fields.String and fields.Method
["schedule_interval", "tags"], # fields.List
],
)
def test_should_return_specified_fields(self, fields):
self._create_dag_model_for_details_endpoint(self.dag2_id)
response = self.client.get(
f"/api/v1/dags/{self.dag2_id}/details?fields={','.join(fields)}",
environ_overrides={"REMOTE_USER": "test"},
)
assert response.status_code == 200
res_json = response.json
assert len(res_json.keys()) == len(fields)
for field in fields:
assert field in res_json
def test_should_respond_400_with_not_exists_fields(self):
fields = ["#caw&c"]
self._create_dag_model_for_details_endpoint(self.dag2_id)
response = self.client.get(
f"/api/v1/dags/{self.dag2_id}/details?fields={','.join(fields)}",
environ_overrides={"REMOTE_USER": "test"},
)
assert response.status_code == 400, f"Current code: {response.status_code}"
@pytest.mark.parametrize(
"set_auto_role_public, expected_status_code",
(("Public", 403), ("Admin", 200)),
indirect=["set_auto_role_public"],
)
def test_with_auth_role_public_set(self, set_auto_role_public, expected_status_code, url_safe_serializer):
self._create_dag_model_for_details_endpoint(self.dag_id)
url_safe_serializer.dumps("/tmp/dag.py")
response = self.client.get(f"/api/v1/dags/{self.dag_id}/details")
assert response.status_code == expected_status_code
class TestGetDags(TestDagEndpoint):
@provide_session
def test_should_respond_200(self, session, url_safe_serializer):
self._create_dag_models(2)
self._create_deactivated_dag()
dags_query = session.query(DagModel).filter(~DagModel.is_subdag)
assert len(dags_query.all()) == 3
response = self.client.get("api/v1/dags", environ_overrides={"REMOTE_USER": "test"})
file_token = url_safe_serializer.dumps("/tmp/dag_1.py")
file_token2 = url_safe_serializer.dumps("/tmp/dag_2.py")
assert response.status_code == 200
assert {
"dags": [
{
"dag_id": "TEST_DAG_1",
"dag_display_name": "TEST_DAG_1",
"description": None,
"fileloc": "/tmp/dag_1.py",
"file_token": file_token,
"is_paused": False,
"is_active": True,
"is_subdag": False,
"owners": [],
"root_dag_id": None,
"schedule_interval": {
"__type": "CronExpression",
"value": "2 2 * * *",
},
"tags": [],
"next_dagrun": None,
"has_task_concurrency_limits": True,
"next_dagrun_data_interval_start": None,
"next_dagrun_data_interval_end": None,
"max_active_runs": 16,
"max_consecutive_failed_dag_runs": 0,
"next_dagrun_create_after": None,
"last_expired": None,
"max_active_tasks": 16,
"last_pickled": None,
"default_view": None,
"last_parsed_time": None,
"scheduler_lock": None,
"timetable_description": None,
"has_import_errors": False,
"pickle_id": None,
},
{
"dag_id": "TEST_DAG_2",
"dag_display_name": "TEST_DAG_2",
"description": None,
"fileloc": "/tmp/dag_2.py",
"file_token": file_token2,
"is_paused": False,
"is_active": True,
"is_subdag": False,
"owners": [],
"root_dag_id": None,
"schedule_interval": {
"__type": "CronExpression",
"value": "2 2 * * *",
},
"tags": [],
"next_dagrun": None,
"has_task_concurrency_limits": True,
"next_dagrun_data_interval_start": None,
"next_dagrun_data_interval_end": None,
"max_active_runs": 16,
"max_consecutive_failed_dag_runs": 0,
"next_dagrun_create_after": None,
"last_expired": None,
"max_active_tasks": 16,
"last_pickled": None,
"default_view": None,
"last_parsed_time": None,
"scheduler_lock": None,
"timetable_description": None,
"has_import_errors": False,
"pickle_id": None,
},
],
"total_entries": 2,
} == response.json
def test_only_active_true_returns_active_dags(self, url_safe_serializer):
self._create_dag_models(1)
self._create_deactivated_dag()
response = self.client.get("api/v1/dags?only_active=True", environ_overrides={"REMOTE_USER": "test"})
file_token = url_safe_serializer.dumps("/tmp/dag_1.py")
assert response.status_code == 200
assert {
"dags": [
{
"dag_id": "TEST_DAG_1",
"dag_display_name": "TEST_DAG_1",
"description": None,
"fileloc": "/tmp/dag_1.py",
"file_token": file_token,
"is_paused": False,
"is_active": True,
"is_subdag": False,
"owners": [],
"root_dag_id": None,
"schedule_interval": {
"__type": "CronExpression",
"value": "2 2 * * *",
},
"tags": [],
"next_dagrun": None,
"has_task_concurrency_limits": True,
"next_dagrun_data_interval_start": None,
"next_dagrun_data_interval_end": None,
"max_active_runs": 16,
"max_consecutive_failed_dag_runs": 0,
"next_dagrun_create_after": None,
"last_expired": None,
"max_active_tasks": 16,
"last_pickled": None,
"default_view": None,
"last_parsed_time": None,
"scheduler_lock": None,
"timetable_description": None,
"has_import_errors": False,
"pickle_id": None,
}
],
"total_entries": 1,
} == response.json
def test_only_active_false_returns_all_dags(self, url_safe_serializer):
self._create_dag_models(1)
self._create_deactivated_dag()
response = self.client.get("api/v1/dags?only_active=False", environ_overrides={"REMOTE_USER": "test"})
file_token = url_safe_serializer.dumps("/tmp/dag_1.py")
file_token_2 = url_safe_serializer.dumps("/tmp/dag_del_1.py")
assert response.status_code == 200
assert {
"dags": [
{
"dag_id": "TEST_DAG_1",
"dag_display_name": "TEST_DAG_1",
"description": None,
"fileloc": "/tmp/dag_1.py",
"file_token": file_token,
"is_paused": False,
"is_active": True,
"is_subdag": False,
"owners": [],
"root_dag_id": None,
"schedule_interval": {
"__type": "CronExpression",
"value": "2 2 * * *",
},
"tags": [],
"next_dagrun": None,
"has_task_concurrency_limits": True,
"next_dagrun_data_interval_start": None,
"next_dagrun_data_interval_end": None,
"max_active_runs": 16,
"max_consecutive_failed_dag_runs": 0,
"next_dagrun_create_after": None,
"last_expired": None,
"max_active_tasks": 16,
"last_pickled": None,
"default_view": None,
"last_parsed_time": None,
"scheduler_lock": None,
"timetable_description": None,
"has_import_errors": False,
"pickle_id": None,
},
{
"dag_id": "TEST_DAG_DELETED_1",
"dag_display_name": "TEST_DAG_DELETED_1",
"description": None,
"fileloc": "/tmp/dag_del_1.py",
"file_token": file_token_2,
"is_paused": False,
"is_active": False,
"is_subdag": False,
"owners": [],
"root_dag_id": None,
"schedule_interval": {
"__type": "CronExpression",
"value": "2 2 * * *",
},
"tags": [],
"next_dagrun": None,
"has_task_concurrency_limits": True,
"next_dagrun_data_interval_start": None,
"next_dagrun_data_interval_end": None,
"max_active_runs": 16,
"max_consecutive_failed_dag_runs": 0,
"next_dagrun_create_after": None,
"last_expired": None,
"max_active_tasks": 16,
"last_pickled": None,
"default_view": None,
"last_parsed_time": None,
"scheduler_lock": None,
"timetable_description": None,
"has_import_errors": False,
"pickle_id": None,
},
],
"total_entries": 2,
} == response.json
@pytest.mark.parametrize(
"url, expected_dag_ids",
[
("api/v1/dags?tags=t1", ["TEST_DAG_1", "TEST_DAG_3"]),
("api/v1/dags?tags=t2", ["TEST_DAG_2", "TEST_DAG_3"]),
("api/v1/dags?tags=t1,t2", ["TEST_DAG_1", "TEST_DAG_2", "TEST_DAG_3"]),
("api/v1/dags", ["TEST_DAG_1", "TEST_DAG_2", "TEST_DAG_3", "TEST_DAG_4"]),
],
)
def test_filter_dags_by_tags_works(self, url, expected_dag_ids):
# test filter by tags
dag1 = DAG(dag_id="TEST_DAG_1", tags=["t1"])
dag2 = DAG(dag_id="TEST_DAG_2", tags=["t2"])
dag3 = DAG(dag_id="TEST_DAG_3", tags=["t1", "t2"])
dag4 = DAG(dag_id="TEST_DAG_4")
dag1.sync_to_db()
dag2.sync_to_db()
dag3.sync_to_db()
dag4.sync_to_db()
response = self.client.get(url, environ_overrides={"REMOTE_USER": "test"})