def get_task_instance(dag_id, task_id, execution_date):
"""Return the task object identified by the given dag_id and task_id."""
dagbag = DagBag()
# Check DAG exists.
if dag_id not in dagbag.dags:
error_message = "Dag id {} not found".format(dag_id)
raise DagNotFound(error_message)
# Get DAG object and check Task Exists
dag = dagbag.get_dag(dag_id)
if not dag.has_task(task_id):
error_message = 'Task {} not found in dag {}'.format(task_id, dag_id)
raise TaskNotFound(error_message)
# Get DagRun object and check that it exists
dagrun = dag.get_dagrun(execution_date=execution_date)
if not dagrun:
error_message = ('Dag Run for date {} not found in dag {}'
.format(execution_date, dag_id))
raise DagRunNotFound(error_message)
# Get task instance object and check that it exists
task_instance = dagrun.get_task_instance(task_id)
if not task_instance:
error_message = ('Task {} instance for date {} not found'
.format(task_id, execution_date))
raise TaskInstanceNotFound(error_message)
return task_instance
def downgrade():
engine = settings.engine
if engine.dialect.has_table(engine, 'task_instance'):
connection = op.get_bind()
sessionmaker = sa.orm.sessionmaker()
session = sessionmaker(bind=connection)
dagbag = DagBag(settings.DAGS_FOLDER)
query = session.query(sa.func.count(TaskInstance.max_tries)).filter(
TaskInstance.max_tries != -1
)
while query.scalar():
tis = session.query(TaskInstance).filter(
TaskInstance.max_tries != -1
).limit(BATCH_SIZE).all()
for ti in tis:
dag = dagbag.get_dag(ti.dag_id)
if not dag or not dag.has_task(ti.task_id):
ti.try_number = 0
else:
task = dag.get_task(ti.task_id)
# max_tries - try_number is number of times a task instance
# left to retry by itself. So the current try_number should be
# max number of self retry (task.retries) minus number of
# times left for task instance to try the task.
ti.try_number = max(0, task.retries - (ti.max_tries -
ti.try_number))
ti.max_tries = -1
session.merge(ti)
session.commit()
session.commit()
op.drop_column('task_instance', 'max_tries')
def test_trigger_dag_for_date(self):
url_template = '/api/experimental/dags/{}/dag_runs'
dag_id = 'example_bash_operator'
hour_from_now = utcnow() + timedelta(hours=1)
execution_date = datetime(hour_from_now.year, hour_from_now.month,
hour_from_now.day, hour_from_now.hour)
datetime_string = execution_date.isoformat()
# Test Correct execution
response = self.client.post(url_template.format(dag_id),
data=json.dumps(
{'execution_date': datetime_string}),
content_type="application/json")
self.assertEqual(200, response.status_code)
dagbag = DagBag()
dag = dagbag.get_dag(dag_id)
dag_run = dag.get_dagrun(execution_date)
self.assertTrue(
dag_run,
'Dag Run not found for execution date {}'.format(execution_date))
# Test error for nonexistent dag
response = self.client.post(
url_template.format('does_not_exist_dag'),
data=json.dumps({'execution_date': execution_date.isoformat()}),
content_type="application/json")
self.assertEqual(404, response.status_code)
# Test error for bad datetime format
response = self.client.post(url_template.format(dag_id),
data=json.dumps(
{'execution_date': 'not_a_datetime'}),
content_type="application/json")
self.assertEqual(400, response.status_code)
def test_subdag_deadlock(self):
dagbag = DagBag()
dag = dagbag.get_dag('test_subdag_deadlock')
dag.clear()
subdag = dagbag.get_dag('test_subdag_deadlock.subdag')
subdag.clear()
# first make sure subdag has failed
self.assertRaises(AirflowException, subdag.run, start_date=DEFAULT_DATE, end_date=DEFAULT_DATE)
# now make sure dag picks up the subdag error
self.assertRaises(AirflowException, dag.run, start_date=DEFAULT_DATE, end_date=DEFAULT_DATE)
def setUp(self):
self.dagbag = DagBag(include_examples=True)
self.dag1 = self.dagbag.dags['example_bash_operator']
self.dag2 = self.dagbag.dags['example_subdag_operator']
self.execution_dates = [days_ago(2), days_ago(1)]
drs = _create_dagruns(self.dag1,
self.execution_dates,
state=State.RUNNING,
run_id_template="scheduled__{}")
for dr in drs:
dr.dag = self.dag1
dr.verify_integrity()
drs = _create_dagruns(self.dag2,
[self.dag2.default_args['start_date']],
state=State.RUNNING,
run_id_template="scheduled__{}")
for dr in drs:
dr.dag = self.dag2
dr.verify_integrity()
self.session = Session()
def heartbeat(self):
"""
Override the scheduler heartbeat to determine when the test is complete
"""
super(SchedulerMetricsJob, self).heartbeat()
session = settings.Session()
# Get all the relevant task instances
TI = TaskInstance
successful_tis = (session.query(TI).filter(
TI.dag_id.in_(DAG_IDS)).filter(TI.state.in_([State.SUCCESS
])).all())
session.commit()
dagbag = DagBag(SUBDIR)
dags = [dagbag.dags[dag_id] for dag_id in DAG_IDS]
# the tasks in perf_dag_1 and per_dag_2 have a daily schedule interval.
num_task_instances = sum([(timezone.utcnow() - task.start_date).days
for dag in dags for task in dag.tasks])
if (len(successful_tis) == num_task_instances
or (timezone.utcnow() - self.start_date).total_seconds() >
MAX_RUNTIME_SECS):
if len(successful_tis) == num_task_instances:
self.log.info("All tasks processed! Printing stats.")
else:
self.log.info(
"Test timeout reached. Printing available stats.")
self.print_stats()
set_dags_paused_state(True)
sys.exit()
def get_dag_runs(dag_id, state=None):
"""
Returns a list of Dag Runs for a specific DAG ID.
:param dag_id: String identifier of a DAG
:param state: queued|running|success...
:return: List of DAG runs of a DAG with requested state,
or all runs if the state is not specified
"""
dagbag = DagBag()
# Check DAG exists.
if dag_id not in dagbag.dags:
error_message = "Dag id {} not found".format(dag_id)
raise AirflowException(error_message)
dag_runs = list()
state = state.lower() if state else None
for run in DagRun.find(dag_id=dag_id, state=state):
dag_runs.append({
'id': run.id,
'run_id': run.run_id,
'state': run.state,
'dag_id': run.dag_id,
'execution_date': run.execution_date.isoformat(),
'start_date': ((run.start_date or '') and
run.start_date.isoformat()),
'dag_run_url': url_for('Airflow.graph', dag_id=run.dag_id,
execution_date=run.execution_date)
})
return dag_runs
def get_task(dag_id, task_id):
"""Return the task object identified by the given dag_id and task_id."""
dagbag = DagBag()
# Check DAG exists.
if dag_id not in dagbag.dags:
error_message = "Dag id {} not found".format(dag_id)
raise DagNotFound(error_message)
# Get DAG object and check Task Exists
dag = dagbag.get_dag(dag_id)
if not dag.has_task(task_id):
error_message = 'Task {} not found in dag {}'.format(task_id, dag_id)
raise TaskNotFound(error_message)
# Return the task.
return dag.get_task(task_id)
def setUp(self):
self.dagbag = DagBag(include_examples=True)
self.dag1 = self.dagbag.dags['example_bash_operator']
self.dag2 = self.dagbag.dags['example_subdag_operator']
self.execution_dates = [days_ago(2), days_ago(1), days_ago(0)]
self.session = Session()
def upgrade():
op.add_column('task_instance', sa.Column('max_tries', sa.Integer, server_default="-1"))
# Check if table task_instance exist before data migration. This check is
# needed for database that does not create table until migration finishes.
# Checking task_instance table exists prevent the error of querying
# non-existing task_instance table.
connection = op.get_bind()
inspector = Inspector.from_engine(connection)
tables = inspector.get_table_names()
if 'task_instance' in tables:
# Get current session
sessionmaker = sa.orm.sessionmaker()
session = sessionmaker(bind=connection)
dagbag = DagBag(settings.DAGS_FOLDER)
query = session.query(sa.func.count(TaskInstance.max_tries)).filter(
TaskInstance.max_tries == -1
)
# Separate db query in batch to prevent loading entire table
# into memory and cause out of memory error.
while query.scalar():
tis = session.query(TaskInstance).filter(
TaskInstance.max_tries == -1
).limit(BATCH_SIZE).all()
for ti in tis:
dag = dagbag.get_dag(ti.dag_id)
if not dag or not dag.has_task(ti.task_id):
# task_instance table might not have the up-to-date
# information, i.e dag or task might be modified or
# deleted in dagbag but is reflected in task instance
# table. In this case we do not retry the task that can't
# be parsed.
ti.max_tries = ti.try_number
else:
task = dag.get_task(ti.task_id)
if task.retries:
ti.max_tries = task.retries
else:
ti.max_tries = ti.try_number
session.merge(ti)
session.commit()
# Commit the current session.
session.commit()
def get_dag_run_state(dag_id, execution_date):
"""Return the task object identified by the given dag_id and task_id."""
dagbag = DagBag()
# Check DAG exists.
if dag_id not in dagbag.dags:
error_message = "Dag id {} not found".format(dag_id)
raise DagNotFound(error_message)
# Get DAG object and check Task Exists
dag = dagbag.get_dag(dag_id)
# Get DagRun object and check that it exists
dagrun = dag.get_dagrun(execution_date=execution_date)
if not dagrun:
error_message = ('Dag Run for date {} not found in dag {}'.format(
execution_date, dag_id))
raise DagRunNotFound(error_message)
return {'state': dagrun.get_state()}
def test_find_zombies(self):
manager = DagFileProcessorManager(
dag_directory='directory',
file_paths=['abc.txt'],
max_runs=1,
processor_factory=MagicMock().return_value,
signal_conn=MagicMock(),
stat_queue=MagicMock(),
result_queue=MagicMock,
async_mode=True)
dagbag = DagBag(TEST_DAG_FOLDER)
with create_session() as session:
session.query(LJ).delete()
dag = dagbag.get_dag('example_branch_operator')
task = dag.get_task(task_id='run_this_first')
ti = TI(task, DEFAULT_DATE, State.RUNNING)
lj = LJ(ti)
lj.state = State.SHUTDOWN
lj.id = 1
ti.job_id = lj.id
session.add(lj)
session.add(ti)
session.commit()
manager._last_zombie_query_time = timezone.utcnow() - timedelta(
seconds=manager._zombie_threshold_secs + 1)
zombies = manager._find_zombies()
self.assertEquals(1, len(zombies))
self.assertIsInstance(zombies[0], SimpleTaskInstance)
self.assertEquals(ti.dag_id, zombies[0].dag_id)
self.assertEquals(ti.task_id, zombies[0].task_id)
self.assertEquals(ti.execution_date, zombies[0].execution_date)
session.query(TI).delete()
session.query(LJ).delete()
def setUp(self):
self.dagbag = DagBag(
dag_folder=TEST_DAG_FOLDER,
include_examples=False,
)
logger.info('Loaded DAGS:')
logger.info(self.dagbag.dagbag_report())
try:
subprocess.check_output(
['sudo', 'useradd', '-m', TEST_USER, '-g',
str(os.getegid())])
except OSError as e:
if e.errno == errno.ENOENT:
raise unittest.SkipTest(
"The 'useradd' command did not exist so unable to test "
"impersonation; Skipping Test. These tests can only be run on a "
"linux host that supports 'useradd'.")
else:
raise unittest.SkipTest(
"The 'useradd' command exited non-zero; Skipping tests. Does the "
"current user have permission to run 'useradd' without a password "
"prompt (check sudoers file)?")
def test_trigger_dag(self, mock):
client = self.client
test_dag_id = "example_bash_operator"
DagBag(include_examples=True)
# non existent
with self.assertRaises(AirflowException):
client.trigger_dag(dag_id="blablabla")
with freeze_time(EXECDATE):
# no execution date, execution date should be set automatically
client.trigger_dag(dag_id=test_dag_id)
mock.assert_called_once_with(run_id="manual__{0}".format(EXECDATE_ISO),
execution_date=EXECDATE_NOFRACTIONS,
state=State.RUNNING,
conf=None,
external_trigger=True)
mock.reset_mock()
# execution date with microseconds cutoff
client.trigger_dag(dag_id=test_dag_id, execution_date=EXECDATE)
mock.assert_called_once_with(run_id="manual__{0}".format(EXECDATE_ISO),
execution_date=EXECDATE_NOFRACTIONS,
state=State.RUNNING,
conf=None,
external_trigger=True)
mock.reset_mock()
# run id
run_id = "my_run_id"
client.trigger_dag(dag_id=test_dag_id, run_id=run_id)
mock.assert_called_once_with(run_id=run_id,
execution_date=EXECDATE_NOFRACTIONS,
state=State.RUNNING,
conf=None,
external_trigger=True)
mock.reset_mock()
# test conf
conf = '{"name": "John"}'
client.trigger_dag(dag_id=test_dag_id, conf=conf)
mock.assert_called_once_with(run_id="manual__{0}".format(EXECDATE_ISO),
execution_date=EXECDATE_NOFRACTIONS,
state=State.RUNNING,
conf=json.loads(conf),
external_trigger=True)
mock.reset_mock()
def test_on_kill(self):
"""
Test that ensures that clearing in the UI SIGTERMS
the task
"""
path = "/tmp/airflow_on_kill"
try:
os.unlink(path)
except OSError:
pass
dagbag = DagBag(
dag_folder=TEST_DAG_FOLDER,
include_examples=False,
)
dag = dagbag.dags.get('test_on_kill')
task = dag.get_task('task1')
session = settings.Session()
dag.clear()
dag.create_dagrun(run_id="test",
state=State.RUNNING,
execution_date=DEFAULT_DATE,
start_date=DEFAULT_DATE,
session=session)
ti = TI(task=task, execution_date=DEFAULT_DATE)
job1 = LocalTaskJob(task_instance=ti, ignore_ti_state=True)
runner = StandardTaskRunner(job1)
runner.start()
# give the task some time to startup
time.sleep(3)
runner.terminate()
f = open(path, "r")
self.assertEqual("ON_KILL_TEST", f.readline())
f.close()
def test_next_execution(self):
# A scaffolding function
def reset_dr_db(dag_id):
session = Session()
dr = session.query(models.DagRun).filter_by(dag_id=dag_id)
dr.delete()
session.commit()
session.close()
EXAMPLE_DAGS_FOLDER = os.path.join(
os.path.dirname(
os.path.dirname(
os.path.dirname(os.path.realpath(__file__))
)
),
"airflow/example_dags"
)
dagbag = DagBag(dag_folder=EXAMPLE_DAGS_FOLDER,
include_examples=False)
dag_ids = ['example_bash_operator', # schedule_interval is '0 0 * * *'
'latest_only', # schedule_interval is timedelta(hours=4)
'example_python_operator', # schedule_interval=None
'example_xcom'] # schedule_interval="@once"
# The details below is determined by the schedule_interval of example DAGs
now = timezone.utcnow()
next_execution_time_for_dag1 = pytz.utc.localize(
datetime.combine(
now.date() + timedelta(days=1),
time(0)
)
)
next_execution_time_for_dag2 = now + timedelta(hours=4)
expected_output = [str(next_execution_time_for_dag1),
str(next_execution_time_for_dag2),
"None",
"None"]
for i in range(len(dag_ids)):
dag_id = dag_ids[i]
# Clear dag run so no execution history fo each DAG
reset_dr_db(dag_id)
p = subprocess.Popen(["airflow", "next_execution", dag_id,
"--subdir", EXAMPLE_DAGS_FOLDER],
stdout=subprocess.PIPE)
p.wait()
stdout = []
for line in p.stdout:
stdout.append(str(line.decode("utf-8").rstrip()))
# `next_execution` function is inapplicable if no execution record found
# It prints `None` in such cases
self.assertEqual(stdout[-1], "None")
dag = dagbag.dags[dag_id]
# Create a DagRun for each DAG, to prepare for next step
dag.create_dagrun(
run_id='manual__' + now.isoformat(),
execution_date=now,
start_date=now,
state=State.FAILED
)
p = subprocess.Popen(["airflow", "next_execution", dag_id,
"--subdir", EXAMPLE_DAGS_FOLDER],
stdout=subprocess.PIPE)
p.wait()
stdout = []
for line in p.stdout:
stdout.append(str(line.decode("utf-8").rstrip()))
self.assertEqual(stdout[-1], expected_output[i])
reset_dr_db(dag_id)
class ImpersonationTest(unittest.TestCase):
def setUp(self):
self.dagbag = DagBag(
dag_folder=TEST_DAG_FOLDER,
include_examples=False,
)
logger.info('Loaded DAGS:')
logger.info(self.dagbag.dagbag_report())
try:
subprocess.check_output(
['sudo', 'useradd', '-m', TEST_USER, '-g',
str(os.getegid())])
except OSError as e:
if e.errno == errno.ENOENT:
raise unittest.SkipTest(
"The 'useradd' command did not exist so unable to test "
"impersonation; Skipping Test. These tests can only be run on a "
"linux host that supports 'useradd'.")
else:
raise unittest.SkipTest(
"The 'useradd' command exited non-zero; Skipping tests. Does the "
"current user have permission to run 'useradd' without a password "
"prompt (check sudoers file)?")
def tearDown(self):
subprocess.check_output(['sudo', 'userdel', '-r', TEST_USER])
def run_backfill(self, dag_id, task_id):
dag = self.dagbag.get_dag(dag_id)
dag.clear()
jobs.BackfillJob(dag=dag,
start_date=DEFAULT_DATE,
end_date=DEFAULT_DATE).run()
ti = models.TaskInstance(task=dag.get_task(task_id),
execution_date=DEFAULT_DATE)
ti.refresh_from_db()
self.assertEqual(ti.state, State.SUCCESS)
def test_impersonation(self):
"""
Tests that impersonating a unix user works
"""
self.run_backfill('test_impersonation', 'test_impersonated_user')
def test_no_impersonation(self):
"""
If default_impersonation=None, tests that the job is run
as the current user (which will be a sudoer)
"""
self.run_backfill(
'test_no_impersonation',
'test_superuser',
)
def test_default_impersonation(self):
"""
If default_impersonation=TEST_USER, tests that the job defaults
to running as TEST_USER for a test without run_as_user set
"""
os.environ['AIRFLOW__CORE__DEFAULT_IMPERSONATION'] = TEST_USER
try:
self.run_backfill('test_default_impersonation',
'test_deelevated_user')
finally:
del os.environ['AIRFLOW__CORE__DEFAULT_IMPERSONATION']
def test_impersonation_custom(self):
"""
Tests that impersonation using a unix user works with custom packages in
PYTHONPATH
"""
# PYTHONPATH is already set in script triggering tests
assert 'PYTHONPATH' in os.environ
self.run_backfill('impersonation_with_custom_pkg', 'exec_python_fn')
def test_impersonation_subdag(self):
"""
Tests that impersonation using a subdag correctly passes the right configuration
:return:
"""
self.run_backfill('impersonation_subdag', 'test_subdag_operation')
def initdb(rbac=False):
session = settings.Session()
from airflow import models
upgradedb()
merge_conn(
models.Connection(
conn_id='airflow_db', conn_type='mysql',
host='mysql', login='******', password='',
schema='airflow'))
merge_conn(
models.Connection(
conn_id='beeline_default', conn_type='beeline', port="10000",
host='localhost', extra="{\"use_beeline\": true, \"auth\": \"\"}",
schema='default'))
merge_conn(
models.Connection(
conn_id='bigquery_default', conn_type='google_cloud_platform',
schema='default'))
merge_conn(
models.Connection(
conn_id='local_mysql', conn_type='mysql',
host='localhost', login='******', password='******',
schema='airflow'))
merge_conn(
models.Connection(
conn_id='presto_default', conn_type='presto',
host='localhost',
schema='hive', port=3400))
merge_conn(
models.Connection(
conn_id='google_cloud_default', conn_type='google_cloud_platform',
schema='default',))
merge_conn(
models.Connection(
conn_id='hive_cli_default', conn_type='hive_cli',
schema='default',))
merge_conn(
models.Connection(
conn_id='hiveserver2_default', conn_type='hiveserver2',
host='localhost',
schema='default', port=10000))
merge_conn(
models.Connection(
conn_id='metastore_default', conn_type='hive_metastore',
host='localhost', extra="{\"authMechanism\": \"PLAIN\"}",
port=9083))
merge_conn(
models.Connection(
conn_id='mongo_default', conn_type='mongo',
host='mongo', port=27017))
merge_conn(
models.Connection(
conn_id='mysql_default', conn_type='mysql',
login='******',
schema='airflow',
host='mysql'))
merge_conn(
models.Connection(
conn_id='postgres_default', conn_type='postgres',
login='******',
password='******',
schema='airflow',
host='postgres'))
merge_conn(
models.Connection(
conn_id='sqlite_default', conn_type='sqlite',
host='/tmp/sqlite_default.db'))
merge_conn(
models.Connection(
conn_id='http_default', conn_type='http',
host='https://www.google.com/'))
merge_conn(
models.Connection(
conn_id='mssql_default', conn_type='mssql',
host='localhost', port=1433))
merge_conn(
models.Connection(
conn_id='vertica_default', conn_type='vertica',
host='localhost', port=5433))
merge_conn(
models.Connection(
conn_id='wasb_default', conn_type='wasb',
extra='{"sas_token": null}'))
merge_conn(
models.Connection(
conn_id='webhdfs_default', conn_type='hdfs',
host='localhost', port=50070))
merge_conn(
models.Connection(
conn_id='ssh_default', conn_type='ssh',
host='localhost'))
merge_conn(
models.Connection(
conn_id='sftp_default', conn_type='sftp',
host='localhost', port=22, login='******',
extra='''
{"key_file": "~/.ssh/id_rsa", "no_host_key_check": true}
'''))
merge_conn(
models.Connection(
conn_id='fs_default', conn_type='fs',
extra='{"path": "/"}'))
merge_conn(
models.Connection(
conn_id='aws_default', conn_type='aws',
extra='{"region_name": "us-east-1"}'))
merge_conn(
models.Connection(
conn_id='spark_default', conn_type='spark',
host='yarn', extra='{"queue": "root.default"}'))
merge_conn(
models.Connection(
conn_id='druid_broker_default', conn_type='druid',
host='druid-broker', port=8082, extra='{"endpoint": "druid/v2/sql"}'))
merge_conn(
models.Connection(
conn_id='druid_ingest_default', conn_type='druid',
host='druid-overlord', port=8081, extra='{"endpoint": "druid/indexer/v1/task"}'))
merge_conn(
models.Connection(
conn_id='redis_default', conn_type='redis',
host='redis', port=6379,
extra='{"db": 0}'))
merge_conn(
models.Connection(
conn_id='sqoop_default', conn_type='sqoop',
host='rmdbs', extra=''))
merge_conn(
models.Connection(
conn_id='emr_default', conn_type='emr',
extra='''
{ "Name": "default_job_flow_name",
"LogUri": "s3://my-emr-log-bucket/default_job_flow_location",
"ReleaseLabel": "emr-4.6.0",
"Instances": {
"Ec2KeyName": "mykey",
"Ec2SubnetId": "somesubnet",
"InstanceGroups": [
{
"Name": "Master nodes",
"Market": "ON_DEMAND",
"InstanceRole": "MASTER",
"InstanceType": "r3.2xlarge",
"InstanceCount": 1
},
{
"Name": "Slave nodes",
"Market": "ON_DEMAND",
"InstanceRole": "CORE",
"InstanceType": "r3.2xlarge",
"InstanceCount": 1
}
],
"TerminationProtected": false,
"KeepJobFlowAliveWhenNoSteps": false
},
"Applications":[
{ "Name": "Spark" }
],
"VisibleToAllUsers": true,
"JobFlowRole": "EMR_EC2_DefaultRole",
"ServiceRole": "EMR_DefaultRole",
"Tags": [
{
"Key": "app",
"Value": "analytics"
},
{
"Key": "environment",
"Value": "development"
}
]
}
'''))
merge_conn(
models.Connection(
conn_id='databricks_default', conn_type='databricks',
host='localhost'))
merge_conn(
models.Connection(
conn_id='qubole_default', conn_type='qubole',
host='localhost'))
merge_conn(
models.Connection(
conn_id='segment_default', conn_type='segment',
extra='{"write_key": "my-segment-write-key"}')),
merge_conn(
models.Connection(
conn_id='azure_data_lake_default', conn_type='azure_data_lake',
extra='{"tenant": "<TENANT>", "account_name": "<ACCOUNTNAME>" }'))
merge_conn(
models.Connection(
conn_id='azure_cosmos_default', conn_type='azure_cosmos',
extra='{"database_name": "<DATABASE_NAME>", "collection_name": "<COLLECTION_NAME>" }'))
merge_conn(
models.Connection(
conn_id='cassandra_default', conn_type='cassandra',
host='cassandra', port=9042))
# Known event types
KET = models.KnownEventType
if not session.query(KET).filter(KET.know_event_type == 'Holiday').first():
session.add(KET(know_event_type='Holiday'))
if not session.query(KET).filter(KET.know_event_type == 'Outage').first():
session.add(KET(know_event_type='Outage'))
if not session.query(KET).filter(
KET.know_event_type == 'Natural Disaster').first():
session.add(KET(know_event_type='Natural Disaster'))
if not session.query(KET).filter(
KET.know_event_type == 'Marketing Campaign').first():
session.add(KET(know_event_type='Marketing Campaign'))
session.commit()
dagbag = DagBag()
# Save individual DAGs in the ORM
for dag in dagbag.dags.values():
dag.sync_to_db()
# Deactivate the unknown ones
models.DAG.deactivate_unknown_dags(dagbag.dags.keys())
Chart = models.Chart
chart_label = "Airflow task instance by type"
chart = session.query(Chart).filter(Chart.label == chart_label).first()
if not chart:
chart = Chart(
label=chart_label,
conn_id='airflow_db',
chart_type='bar',
x_is_date=False,
sql=(
"SELECT state, COUNT(1) as number "
"FROM task_instance "
"WHERE dag_id LIKE 'example%' "
"GROUP BY state"),
)
session.add(chart)
session.commit()
if rbac:
from flask_appbuilder.security.sqla import models
from flask_appbuilder.models.sqla import Base
Base.metadata.create_all(settings.engine)
def setUp(self):
self.session = settings.Session()
self.dagbag = DagBag(include_examples=True)
self.dag_id = 'example_bash_operator'
self.dag = self.dagbag.dags[self.dag_id]
def setUp(self):
configuration.load_test_config()
self.dagbag = DagBag(dag_folder=DEV_NULL, include_examples=True)
self.args = {'owner': 'airflow', 'start_date': DEFAULT_DATE}
self.dag = DAG(TEST_DAG_ID, default_args=self.args)
def setUp(self):
self.dagbag = DagBag(include_examples=True)
self.cluster = LocalCluster()
def setUp(self):
self.dagbag = DagBag(include_examples=True)
def _run_dag(self):
dag_bag = DagBag(dag_folder=TESTS_DAG_FOLDER, include_examples=False)
self.args = {'owner': 'airflow', 'start_date': DEFAULT_DATE}
dag = dag_bag.get_dag(self.dag_id)
dag.clear(reset_dag_runs=True)
dag.run(ignore_first_depends_on_past=True, verbose=True)