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core.py
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# -*- coding: utf-8 -*-
#
# 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 print_function
import json
import unittest
import bleach
import doctest
import mock
import multiprocessing
import os
import re
import signal
import sqlalchemy
import subprocess
import tempfile
import warnings
from datetime import timedelta
from dateutil.relativedelta import relativedelta
from email.mime.application import MIMEApplication
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from numpy.testing import assert_array_almost_equal
from six.moves.urllib.parse import urlencode
from time import sleep
from airflow import configuration
from airflow.executors import SequentialExecutor
from airflow.models import Variable
from airflow import jobs, models, DAG, utils, macros, settings, exceptions
from airflow.models import BaseOperator
from airflow.operators.bash_operator import BashOperator
from airflow.operators.check_operator import CheckOperator, ValueCheckOperator
from airflow.operators.dagrun_operator import TriggerDagRunOperator
from airflow.operators.python_operator import PythonOperator
from airflow.operators.dummy_operator import DummyOperator
from airflow.hooks.base_hook import BaseHook
from airflow.hooks.sqlite_hook import SqliteHook
from airflow.bin import cli
from airflow.www import app as application
from airflow.settings import Session
from airflow.utils import timezone
from airflow.utils.timezone import datetime
from airflow.utils.state import State
from airflow.utils.dates import infer_time_unit, round_time, scale_time_units
from lxml import html
from airflow.exceptions import AirflowException
from airflow.configuration import AirflowConfigException, run_command
from jinja2.sandbox import SecurityError
from jinja2 import UndefinedError
from pendulum import utcnow
import six
NUM_EXAMPLE_DAGS = 18
DEV_NULL = '/dev/null'
TEST_DAG_FOLDER = os.path.join(
os.path.dirname(os.path.realpath(__file__)), 'dags')
DEFAULT_DATE = datetime(2015, 1, 1)
DEFAULT_DATE_ISO = DEFAULT_DATE.isoformat()
DEFAULT_DATE_DS = DEFAULT_DATE_ISO[:10]
TEST_DAG_ID = 'unit_tests'
try:
import cPickle as pickle
except ImportError:
# Python 3
import pickle
def reset(dag_id=TEST_DAG_ID):
session = Session()
tis = session.query(models.TaskInstance).filter_by(dag_id=dag_id)
tis.delete()
session.commit()
session.close()
configuration.conf.load_test_config()
if os.environ.get('KUBERNETES_VERSION') is None:
reset()
class OperatorSubclass(BaseOperator):
"""
An operator to test template substitution
"""
template_fields = ['some_templated_field']
def __init__(self, some_templated_field, *args, **kwargs):
super(OperatorSubclass, self).__init__(*args, **kwargs)
self.some_templated_field = some_templated_field
def execute(*args, **kwargs):
pass
class CoreTest(unittest.TestCase):
default_scheduler_args = {"num_runs": 1}
def setUp(self):
configuration.conf.load_test_config()
self.dagbag = models.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)
self.dag_bash = self.dagbag.dags['example_bash_operator']
self.runme_0 = self.dag_bash.get_task('runme_0')
self.run_after_loop = self.dag_bash.get_task('run_after_loop')
self.run_this_last = self.dag_bash.get_task('run_this_last')
def test_schedule_dag_no_previous_runs(self):
"""
Tests scheduling a dag with no previous runs
"""
dag = DAG(TEST_DAG_ID + 'test_schedule_dag_no_previous_runs')
dag.add_task(models.BaseOperator(
task_id="faketastic",
owner='Also fake',
start_date=datetime(2015, 1, 2, 0, 0)))
dag_run = jobs.SchedulerJob(**self.default_scheduler_args).create_dag_run(dag)
self.assertIsNotNone(dag_run)
self.assertEqual(dag.dag_id, dag_run.dag_id)
self.assertIsNotNone(dag_run.run_id)
self.assertNotEqual('', dag_run.run_id)
self.assertEqual(
datetime(2015, 1, 2, 0, 0),
dag_run.execution_date,
msg='dag_run.execution_date did not match expectation: {0}'
.format(dag_run.execution_date)
)
self.assertEqual(State.RUNNING, dag_run.state)
self.assertFalse(dag_run.external_trigger)
dag.clear()
def test_schedule_dag_relativedelta(self):
"""
Tests scheduling a dag with a relativedelta schedule_interval
"""
delta = relativedelta(hours=+1)
dag = DAG(TEST_DAG_ID + 'test_schedule_dag_relativedelta',
schedule_interval=delta)
dag.add_task(models.BaseOperator(
task_id="faketastic",
owner='Also fake',
start_date=datetime(2015, 1, 2, 0, 0)))
dag_run = jobs.SchedulerJob(**self.default_scheduler_args).create_dag_run(dag)
self.assertIsNotNone(dag_run)
self.assertEqual(dag.dag_id, dag_run.dag_id)
self.assertIsNotNone(dag_run.run_id)
self.assertNotEqual('', dag_run.run_id)
self.assertEqual(
datetime(2015, 1, 2, 0, 0),
dag_run.execution_date,
msg='dag_run.execution_date did not match expectation: {0}'
.format(dag_run.execution_date)
)
self.assertEqual(State.RUNNING, dag_run.state)
self.assertFalse(dag_run.external_trigger)
dag_run2 = jobs.SchedulerJob(**self.default_scheduler_args).create_dag_run(dag)
self.assertIsNotNone(dag_run2)
self.assertEqual(dag.dag_id, dag_run2.dag_id)
self.assertIsNotNone(dag_run2.run_id)
self.assertNotEqual('', dag_run2.run_id)
self.assertEqual(
datetime(2015, 1, 2, 0, 0) + delta,
dag_run2.execution_date,
msg='dag_run2.execution_date did not match expectation: {0}'
.format(dag_run2.execution_date)
)
self.assertEqual(State.RUNNING, dag_run2.state)
self.assertFalse(dag_run2.external_trigger)
dag.clear()
def test_schedule_dag_fake_scheduled_previous(self):
"""
Test scheduling a dag where there is a prior DagRun
which has the same run_id as the next run should have
"""
delta = timedelta(hours=1)
dag = DAG(TEST_DAG_ID + 'test_schedule_dag_fake_scheduled_previous',
schedule_interval=delta,
start_date=DEFAULT_DATE)
dag.add_task(models.BaseOperator(
task_id="faketastic",
owner='Also fake',
start_date=DEFAULT_DATE))
scheduler = jobs.SchedulerJob(**self.default_scheduler_args)
dag.create_dagrun(run_id=models.DagRun.id_for_date(DEFAULT_DATE),
execution_date=DEFAULT_DATE,
state=State.SUCCESS,
external_trigger=True)
dag_run = scheduler.create_dag_run(dag)
self.assertIsNotNone(dag_run)
self.assertEqual(dag.dag_id, dag_run.dag_id)
self.assertIsNotNone(dag_run.run_id)
self.assertNotEqual('', dag_run.run_id)
self.assertEqual(
DEFAULT_DATE + delta,
dag_run.execution_date,
msg='dag_run.execution_date did not match expectation: {0}'
.format(dag_run.execution_date)
)
self.assertEqual(State.RUNNING, dag_run.state)
self.assertFalse(dag_run.external_trigger)
def test_schedule_dag_once(self):
"""
Tests scheduling a dag scheduled for @once - should be scheduled the first time
it is called, and not scheduled the second.
"""
dag = DAG(TEST_DAG_ID + 'test_schedule_dag_once')
dag.schedule_interval = '@once'
dag.add_task(models.BaseOperator(
task_id="faketastic",
owner='Also fake',
start_date=datetime(2015, 1, 2, 0, 0)))
dag_run = jobs.SchedulerJob(**self.default_scheduler_args).create_dag_run(dag)
dag_run2 = jobs.SchedulerJob(**self.default_scheduler_args).create_dag_run(dag)
self.assertIsNotNone(dag_run)
self.assertIsNone(dag_run2)
dag.clear()
def test_fractional_seconds(self):
"""
Tests if fractional seconds are stored in the database
"""
dag = DAG(TEST_DAG_ID + 'test_fractional_seconds')
dag.schedule_interval = '@once'
dag.add_task(models.BaseOperator(
task_id="faketastic",
owner='Also fake',
start_date=datetime(2015, 1, 2, 0, 0)))
start_date = timezone.utcnow()
run = dag.create_dagrun(
run_id='test_' + start_date.isoformat(),
execution_date=start_date,
start_date=start_date,
state=State.RUNNING,
external_trigger=False
)
run.refresh_from_db()
self.assertEqual(start_date, run.execution_date,
"dag run execution_date loses precision")
self.assertEqual(start_date, run.start_date,
"dag run start_date loses precision ")
def test_schedule_dag_start_end_dates(self):
"""
Tests that an attempt to schedule a task after the Dag's end_date
does not succeed.
"""
delta = timedelta(hours=1)
runs = 3
start_date = DEFAULT_DATE
end_date = start_date + (runs - 1) * delta
dag = DAG(TEST_DAG_ID + 'test_schedule_dag_start_end_dates',
start_date=start_date,
end_date=end_date,
schedule_interval=delta)
dag.add_task(models.BaseOperator(task_id='faketastic',
owner='Also fake'))
# Create and schedule the dag runs
dag_runs = []
scheduler = jobs.SchedulerJob(**self.default_scheduler_args)
for i in range(runs):
dag_runs.append(scheduler.create_dag_run(dag))
additional_dag_run = scheduler.create_dag_run(dag)
for dag_run in dag_runs:
self.assertIsNotNone(dag_run)
self.assertIsNone(additional_dag_run)
def test_schedule_dag_no_end_date_up_to_today_only(self):
"""
Tests that a Dag created without an end_date can only be scheduled up
to and including the current datetime.
For example, if today is 2016-01-01 and we are scheduling from a
start_date of 2015-01-01, only jobs up to, but not including
2016-01-01 should be scheduled.
"""
session = settings.Session()
delta = timedelta(days=1)
now = utcnow()
start_date = now.subtract(weeks=1)
runs = (now - start_date).days
dag = DAG(TEST_DAG_ID + 'test_schedule_dag_no_end_date_up_to_today_only',
start_date=start_date,
schedule_interval=delta)
dag.add_task(models.BaseOperator(task_id='faketastic',
owner='Also fake'))
dag_runs = []
scheduler = jobs.SchedulerJob(**self.default_scheduler_args)
for i in range(runs):
dag_run = scheduler.create_dag_run(dag)
dag_runs.append(dag_run)
# Mark the DagRun as complete
dag_run.state = State.SUCCESS
session.merge(dag_run)
session.commit()
# Attempt to schedule an additional dag run (for 2016-01-01)
additional_dag_run = scheduler.create_dag_run(dag)
for dag_run in dag_runs:
self.assertIsNotNone(dag_run)
self.assertIsNone(additional_dag_run)
def test_confirm_unittest_mod(self):
self.assertTrue(configuration.conf.get('core', 'unit_test_mode'))
def test_pickling(self):
dp = self.dag.pickle()
self.assertEqual(dp.pickle.dag_id, self.dag.dag_id)
def test_rich_comparison_ops(self):
class DAGsubclass(DAG):
pass
dag_eq = DAG(TEST_DAG_ID, default_args=self.args)
dag_diff_load_time = DAG(TEST_DAG_ID, default_args=self.args)
dag_diff_name = DAG(TEST_DAG_ID + '_neq', default_args=self.args)
dag_subclass = DAGsubclass(TEST_DAG_ID, default_args=self.args)
dag_subclass_diff_name = DAGsubclass(
TEST_DAG_ID + '2', default_args=self.args)
for d in [dag_eq, dag_diff_name, dag_subclass, dag_subclass_diff_name]:
d.last_loaded = self.dag.last_loaded
# test identity equality
self.assertEqual(self.dag, self.dag)
# test dag (in)equality based on _comps
self.assertEqual(dag_eq, self.dag)
self.assertNotEqual(dag_diff_name, self.dag)
self.assertNotEqual(dag_diff_load_time, self.dag)
# test dag inequality based on type even if _comps happen to match
self.assertNotEqual(dag_subclass, self.dag)
# a dag should equal an unpickled version of itself
d = pickle.dumps(self.dag)
self.assertEqual(pickle.loads(d), self.dag)
# dags are ordered based on dag_id no matter what the type is
self.assertLess(self.dag, dag_diff_name)
self.assertGreater(self.dag, dag_diff_load_time)
self.assertLess(self.dag, dag_subclass_diff_name)
# greater than should have been created automatically by functools
self.assertGreater(dag_diff_name, self.dag)
# hashes are non-random and match equality
self.assertEqual(hash(self.dag), hash(self.dag))
self.assertEqual(hash(dag_eq), hash(self.dag))
self.assertNotEqual(hash(dag_diff_name), hash(self.dag))
self.assertNotEqual(hash(dag_subclass), hash(self.dag))
def test_check_operators(self):
conn_id = "sqlite_default"
captainHook = BaseHook.get_hook(conn_id=conn_id)
captainHook.run("CREATE TABLE operator_test_table (a, b)")
captainHook.run("insert into operator_test_table values (1,2)")
t = CheckOperator(
task_id='check',
sql="select count(*) from operator_test_table",
conn_id=conn_id,
dag=self.dag)
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
t = ValueCheckOperator(
task_id='value_check',
pass_value=95,
tolerance=0.1,
conn_id=conn_id,
sql="SELECT 100",
dag=self.dag)
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
captainHook.run("drop table operator_test_table")
def test_clear_api(self):
task = self.dag_bash.tasks[0]
task.clear(
start_date=DEFAULT_DATE, end_date=DEFAULT_DATE,
upstream=True, downstream=True)
ti = models.TaskInstance(task=task, execution_date=DEFAULT_DATE)
ti.are_dependents_done()
def test_illegal_args(self):
"""
Tests that Operators reject illegal arguments
"""
with warnings.catch_warnings(record=True) as w:
BashOperator(
task_id='test_illegal_args',
bash_command='echo success',
dag=self.dag,
illegal_argument_1234='hello?')
self.assertTrue(
issubclass(w[0].category, PendingDeprecationWarning))
self.assertIn(
'Invalid arguments were passed to BashOperator.',
w[0].message.args[0])
def test_bash_operator(self):
t = BashOperator(
task_id='test_bash_operator',
bash_command="echo success",
dag=self.dag)
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
def test_bash_operator_multi_byte_output(self):
t = BashOperator(
task_id='test_multi_byte_bash_operator',
bash_command=u"echo \u2600",
dag=self.dag,
output_encoding='utf-8')
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
def test_bash_operator_kill(self):
import psutil
sleep_time = "100%d" % os.getpid()
t = BashOperator(
task_id='test_bash_operator_kill',
execution_timeout=timedelta(seconds=1),
bash_command="/bin/bash -c 'sleep %s'" % sleep_time,
dag=self.dag)
self.assertRaises(
exceptions.AirflowTaskTimeout,
t.run,
start_date=DEFAULT_DATE, end_date=DEFAULT_DATE)
sleep(2)
pid = -1
for proc in psutil.process_iter():
if proc.cmdline() == ['sleep', sleep_time]:
pid = proc.pid
if pid != -1:
os.kill(pid, signal.SIGTERM)
self.fail("BashOperator's subprocess still running after stopping on timeout!")
def test_trigger_dagrun(self):
def trigga(context, obj):
if True:
return obj
t = TriggerDagRunOperator(
task_id='test_trigger_dagrun',
trigger_dag_id='example_bash_operator',
python_callable=trigga,
dag=self.dag)
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
def test_dryrun(self):
t = BashOperator(
task_id='test_dryrun',
bash_command="echo success",
dag=self.dag)
t.dry_run()
def test_sqlite(self):
import airflow.operators.sqlite_operator
t = airflow.operators.sqlite_operator.SqliteOperator(
task_id='time_sqlite',
sql="CREATE TABLE IF NOT EXISTS unitest (dummy VARCHAR(20))",
dag=self.dag)
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
def test_timeout(self):
t = PythonOperator(
task_id='test_timeout',
execution_timeout=timedelta(seconds=1),
python_callable=lambda: sleep(5),
dag=self.dag)
self.assertRaises(
exceptions.AirflowTaskTimeout,
t.run,
start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
def test_python_op(self):
def test_py_op(templates_dict, ds, **kwargs):
if not templates_dict['ds'] == ds:
raise Exception("failure")
t = PythonOperator(
task_id='test_py_op',
provide_context=True,
python_callable=test_py_op,
templates_dict={'ds': "{{ ds }}"},
dag=self.dag)
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
def test_complex_template(self):
def verify_templated_field(context):
self.assertEqual(context['ti'].task.some_templated_field['bar'][1],
context['ds'])
t = OperatorSubclass(
task_id='test_complex_template',
some_templated_field={
'foo': '123',
'bar': ['baz', '{{ ds }}']
},
dag=self.dag)
t.execute = verify_templated_field
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
def test_template_with_variable(self):
"""
Test the availability of variables in templates
"""
val = {
'test_value': 'a test value'
}
Variable.set("a_variable", val['test_value'])
def verify_templated_field(context):
self.assertEqual(context['ti'].task.some_templated_field,
val['test_value'])
t = OperatorSubclass(
task_id='test_complex_template',
some_templated_field='{{ var.value.a_variable }}',
dag=self.dag)
t.execute = verify_templated_field
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
def test_template_with_json_variable(self):
"""
Test the availability of variables (serialized as JSON) in templates
"""
val = {
'test_value': {'foo': 'bar', 'obj': {'v1': 'yes', 'v2': 'no'}}
}
Variable.set("a_variable", val['test_value'], serialize_json=True)
def verify_templated_field(context):
self.assertEqual(context['ti'].task.some_templated_field,
val['test_value']['obj']['v2'])
t = OperatorSubclass(
task_id='test_complex_template',
some_templated_field='{{ var.json.a_variable.obj.v2 }}',
dag=self.dag)
t.execute = verify_templated_field
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
def test_template_with_json_variable_as_value(self):
"""
Test the availability of variables (serialized as JSON) in templates, but
accessed as a value
"""
val = {
'test_value': {'foo': 'bar'}
}
Variable.set("a_variable", val['test_value'], serialize_json=True)
def verify_templated_field(context):
self.assertEqual(context['ti'].task.some_templated_field,
u'{"foo": "bar"}')
t = OperatorSubclass(
task_id='test_complex_template',
some_templated_field='{{ var.value.a_variable }}',
dag=self.dag)
t.execute = verify_templated_field
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
def test_template_non_bool(self):
"""
Test templates can handle objects with no sense of truthiness
"""
class NonBoolObject(object):
def __len__(self):
return NotImplemented
def __bool__(self):
return NotImplemented
t = OperatorSubclass(
task_id='test_bad_template_obj',
some_templated_field=NonBoolObject(),
dag=self.dag)
t.resolve_template_files()
def test_task_get_template(self):
TI = models.TaskInstance
ti = TI(
task=self.runme_0, execution_date=DEFAULT_DATE)
ti.dag = self.dag_bash
ti.run(ignore_ti_state=True)
context = ti.get_template_context()
# DEFAULT DATE is 2015-01-01
self.assertEquals(context['ds'], '2015-01-01')
self.assertEquals(context['ds_nodash'], '20150101')
# next_ds is 2015-01-02 as the dag interval is daily
self.assertEquals(context['next_ds'], '2015-01-02')
self.assertEquals(context['next_ds_nodash'], '20150102')
# prev_ds is 2014-12-31 as the dag interval is daily
self.assertEquals(context['prev_ds'], '2014-12-31')
self.assertEquals(context['prev_ds_nodash'], '20141231')
self.assertEquals(context['ts'], '2015-01-01T00:00:00+00:00')
self.assertEquals(context['ts_nodash'], '20150101T000000+0000')
self.assertEquals(context['yesterday_ds'], '2014-12-31')
self.assertEquals(context['yesterday_ds_nodash'], '20141231')
self.assertEquals(context['tomorrow_ds'], '2015-01-02')
self.assertEquals(context['tomorrow_ds_nodash'], '20150102')
def test_import_examples(self):
self.assertEqual(len(self.dagbag.dags), NUM_EXAMPLE_DAGS)
def test_local_task_job(self):
TI = models.TaskInstance
ti = TI(
task=self.runme_0, execution_date=DEFAULT_DATE)
job = jobs.LocalTaskJob(task_instance=ti, ignore_ti_state=True)
job.run()
def test_raw_job(self):
TI = models.TaskInstance
ti = TI(
task=self.runme_0, execution_date=DEFAULT_DATE)
ti.dag = self.dag_bash
ti.run(ignore_ti_state=True)
def test_doctests(self):
modules = [utils, macros]
for mod in modules:
failed, tests = doctest.testmod(mod)
if failed:
raise Exception("Failed a doctest")
def test_variable_set_get_round_trip(self):
Variable.set("tested_var_set_id", "Monday morning breakfast")
self.assertEqual("Monday morning breakfast", Variable.get("tested_var_set_id"))
def test_variable_set_get_round_trip_json(self):
value = {"a": 17, "b": 47}
Variable.set("tested_var_set_id", value, serialize_json=True)
self.assertEqual(value, Variable.get("tested_var_set_id", deserialize_json=True))
def test_get_non_existing_var_should_return_default(self):
default_value = "some default val"
self.assertEqual(default_value, Variable.get("thisIdDoesNotExist",
default_var=default_value))
def test_get_non_existing_var_should_not_deserialize_json_default(self):
default_value = "}{ this is a non JSON default }{"
self.assertEqual(default_value, Variable.get("thisIdDoesNotExist",
default_var=default_value,
deserialize_json=True))
def test_variable_setdefault_round_trip(self):
key = "tested_var_setdefault_1_id"
value = "Monday morning breakfast in Paris"
Variable.setdefault(key, value)
self.assertEqual(value, Variable.get(key))
def test_variable_setdefault_round_trip_json(self):
key = "tested_var_setdefault_2_id"
value = {"city": 'Paris', "Hapiness": True}
Variable.setdefault(key, value, deserialize_json=True)
self.assertEqual(value, Variable.get(key, deserialize_json=True))
def test_variable_setdefault_existing_json(self):
key = "tested_var_setdefault_2_id"
value = {"city": 'Paris', "Hapiness": True}
Variable.set(key, value, serialize_json=True)
val = Variable.setdefault(key, value, deserialize_json=True)
# Check the returned value, and the stored value are handled correctly.
self.assertEqual(value, val)
self.assertEqual(value, Variable.get(key, deserialize_json=True))
def test_parameterized_config_gen(self):
cfg = configuration.parameterized_config(configuration.DEFAULT_CONFIG)
# making sure some basic building blocks are present:
self.assertIn("[core]", cfg)
self.assertIn("dags_folder", cfg)
self.assertIn("sql_alchemy_conn", cfg)
self.assertIn("fernet_key", cfg)
# making sure replacement actually happened
self.assertNotIn("{AIRFLOW_HOME}", cfg)
self.assertNotIn("{FERNET_KEY}", cfg)
def test_config_use_original_when_original_and_fallback_are_present(self):
self.assertTrue(configuration.conf.has_option("core", "FERNET_KEY"))
self.assertFalse(configuration.conf.has_option("core", "FERNET_KEY_CMD"))
FERNET_KEY = configuration.conf.get('core', 'FERNET_KEY')
configuration.conf.set("core", "FERNET_KEY_CMD", "printf HELLO")
FALLBACK_FERNET_KEY = configuration.conf.get(
"core",
"FERNET_KEY"
)
self.assertEqual(FERNET_KEY, FALLBACK_FERNET_KEY)
# restore the conf back to the original state
configuration.conf.remove_option("core", "FERNET_KEY_CMD")
def test_config_throw_error_when_original_and_fallback_is_absent(self):
self.assertTrue(configuration.conf.has_option("core", "FERNET_KEY"))
self.assertFalse(configuration.conf.has_option("core", "FERNET_KEY_CMD"))
FERNET_KEY = configuration.conf.get("core", "FERNET_KEY")
configuration.conf.remove_option("core", "FERNET_KEY")
with self.assertRaises(AirflowConfigException) as cm:
configuration.conf.get("core", "FERNET_KEY")
exception = str(cm.exception)
message = "section/key [core/fernet_key] not found in config"
self.assertEqual(message, exception)
# restore the conf back to the original state
configuration.conf.set("core", "FERNET_KEY", FERNET_KEY)
self.assertTrue(configuration.conf.has_option("core", "FERNET_KEY"))
def test_config_override_original_when_non_empty_envvar_is_provided(self):
key = "AIRFLOW__CORE__FERNET_KEY"
value = "some value"
self.assertNotIn(key, os.environ)
os.environ[key] = value
FERNET_KEY = configuration.conf.get('core', 'FERNET_KEY')
self.assertEqual(value, FERNET_KEY)
# restore the envvar back to the original state
del os.environ[key]
def test_config_override_original_when_empty_envvar_is_provided(self):
key = "AIRFLOW__CORE__FERNET_KEY"
value = ""
self.assertNotIn(key, os.environ)
os.environ[key] = value
FERNET_KEY = configuration.conf.get('core', 'FERNET_KEY')
self.assertEqual(value, FERNET_KEY)
# restore the envvar back to the original state
del os.environ[key]
def test_round_time(self):
rt1 = round_time(datetime(2015, 1, 1, 6), timedelta(days=1))
self.assertEqual(datetime(2015, 1, 1, 0, 0), rt1)
rt2 = round_time(datetime(2015, 1, 2), relativedelta(months=1))
self.assertEqual(datetime(2015, 1, 1, 0, 0), rt2)
rt3 = round_time(datetime(2015, 9, 16, 0, 0), timedelta(1), datetime(
2015, 9, 14, 0, 0))
self.assertEqual(datetime(2015, 9, 16, 0, 0), rt3)
rt4 = round_time(datetime(2015, 9, 15, 0, 0), timedelta(1), datetime(
2015, 9, 14, 0, 0))
self.assertEqual(datetime(2015, 9, 15, 0, 0), rt4)
rt5 = round_time(datetime(2015, 9, 14, 0, 0), timedelta(1), datetime(
2015, 9, 14, 0, 0))
self.assertEqual(datetime(2015, 9, 14, 0, 0), rt5)
rt6 = round_time(datetime(2015, 9, 13, 0, 0), timedelta(1), datetime(
2015, 9, 14, 0, 0))
self.assertEqual(datetime(2015, 9, 14, 0, 0), rt6)
def test_infer_time_unit(self):
self.assertEqual('minutes', infer_time_unit([130, 5400, 10]))
self.assertEqual('seconds', infer_time_unit([110, 50, 10, 100]))
self.assertEqual('hours', infer_time_unit([100000, 50000, 10000, 20000]))
self.assertEqual('days', infer_time_unit([200000, 100000]))
def test_scale_time_units(self):
# use assert_almost_equal from numpy.testing since we are comparing
# floating point arrays
arr1 = scale_time_units([130, 5400, 10], 'minutes')
assert_array_almost_equal(arr1, [2.167, 90.0, 0.167], decimal=3)
arr2 = scale_time_units([110, 50, 10, 100], 'seconds')
assert_array_almost_equal(arr2, [110.0, 50.0, 10.0, 100.0], decimal=3)
arr3 = scale_time_units([100000, 50000, 10000, 20000], 'hours')
assert_array_almost_equal(arr3, [27.778, 13.889, 2.778, 5.556],
decimal=3)
arr4 = scale_time_units([200000, 100000], 'days')
assert_array_almost_equal(arr4, [2.315, 1.157], decimal=3)
def test_duplicate_dependencies(self):
regexp = "Dependency (.*)runme_0(.*)run_after_loop(.*) " \
"already registered"
with self.assertRaisesRegexp(AirflowException, regexp):
self.runme_0.set_downstream(self.run_after_loop)
with self.assertRaisesRegexp(AirflowException, regexp):
self.run_after_loop.set_upstream(self.runme_0)
def test_bad_trigger_rule(self):
with self.assertRaises(AirflowException):
DummyOperator(
task_id='test_bad_trigger',
trigger_rule="non_existent",
dag=self.dag)
def test_terminate_task(self):
"""If a task instance's db state get deleted, it should fail"""
TI = models.TaskInstance
dag = self.dagbag.dags.get('test_utils')
task = dag.task_dict.get('sleeps_forever')
ti = TI(task=task, execution_date=DEFAULT_DATE)
job = jobs.LocalTaskJob(
task_instance=ti, ignore_ti_state=True, executor=SequentialExecutor())
# Running task instance asynchronously
p = multiprocessing.Process(target=job.run)
p.start()
sleep(5)
settings.engine.dispose()
session = settings.Session()
ti.refresh_from_db(session=session)
# making sure it's actually running
self.assertEqual(State.RUNNING, ti.state)
ti = session.query(TI).filter_by(
dag_id=task.dag_id,
task_id=task.task_id,
execution_date=DEFAULT_DATE
).one()
# deleting the instance should result in a failure
session.delete(ti)
session.commit()
# waiting for the async task to finish
p.join()
# making sure that the task ended up as failed
ti.refresh_from_db(session=session)
self.assertEqual(State.FAILED, ti.state)
session.close()
def test_task_fail_duration(self):
"""If a task fails, the duration should be recorded in TaskFail"""
p = BashOperator(
task_id='pass_sleepy',
bash_command='sleep 3',
dag=self.dag)
f = BashOperator(
task_id='fail_sleepy',
bash_command='sleep 5',
execution_timeout=timedelta(seconds=3),
retry_delay=timedelta(seconds=0),
dag=self.dag)
session = settings.Session()
try:
p.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
except:
pass
try:
f.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
except:
pass
p_fails = session.query(models.TaskFail).filter_by(
task_id='pass_sleepy',
dag_id=self.dag.dag_id,
execution_date=DEFAULT_DATE).all()
f_fails = session.query(models.TaskFail).filter_by(
task_id='fail_sleepy',
dag_id=self.dag.dag_id,
execution_date=DEFAULT_DATE).all()
print(f_fails)
self.assertEqual(0, len(p_fails))
self.assertEqual(1, len(f_fails))
# C
self.assertGreaterEqual(sum([f.duration for f in f_fails]), 3)
def test_dag_stats(self):
"""Correctly sets/dirties/cleans rows of DagStat table"""
session = settings.Session()
session.query(models.DagRun).delete()
session.query(models.DagStat).delete()
session.commit()
models.DagStat.update([], session=session)
self.dag_bash.create_dagrun(
run_id="run1",
execution_date=DEFAULT_DATE,
state=State.RUNNING)
models.DagStat.update([self.dag_bash.dag_id], session=session)
qry = session.query(models.DagStat).all()
self.assertEqual(3, len(qry))
self.assertEqual(self.dag_bash.dag_id, qry[0].dag_id)
for stats in qry:
if stats.state == State.RUNNING:
self.assertEqual(stats.count, 1)
else:
self.assertEqual(stats.count, 0)
self.assertFalse(stats.dirty)
self.dag_bash.create_dagrun(
run_id="run2",
execution_date=DEFAULT_DATE + timedelta(days=1),
state=State.RUNNING)
models.DagStat.update([self.dag_bash.dag_id], session=session)
qry = session.query(models.DagStat).all()
self.assertEqual(3, len(qry))
self.assertEqual(self.dag_bash.dag_id, qry[0].dag_id)
for stats in qry:
if stats.state == State.RUNNING:
self.assertEqual(stats.count, 2)
else:
self.assertEqual(stats.count, 0)
self.assertFalse(stats.dirty)
session.query(models.DagRun).first().state = State.SUCCESS
session.commit()
models.DagStat.update([self.dag_bash.dag_id], session=session)
qry = session.query(models.DagStat).filter(models.DagStat.state == State.SUCCESS).all()
self.assertEqual(1, len(qry))
self.assertEqual(self.dag_bash.dag_id, qry[0].dag_id)
self.assertEqual(State.SUCCESS, qry[0].state)
self.assertEqual(1, qry[0].count)
self.assertFalse(qry[0].dirty)
qry = session.query(models.DagStat).filter(models.DagStat.state == State.RUNNING).all()
self.assertEqual(1, len(qry))
self.assertEqual(self.dag_bash.dag_id, qry[0].dag_id)