def setUp(self):
dart = Dart(host='localhost', port=5000)
""" :type dart: dart.client.python.dart_client.Dart """
self.dart = dart
dst_args = {'action_sleep_time_in_seconds': 0}
dst0 = Datastore(data=DatastoreData('test-datastore0',
'no_op_engine',
args=dst_args,
state=DatastoreState.TEMPLATE))
self.datastore0 = self.dart.save_datastore(dst0)
dst1 = Datastore(data=DatastoreData('test-datastore1',
'no_op_engine',
args=dst_args,
state=DatastoreState.TEMPLATE))
self.datastore1 = self.dart.save_datastore(dst1)
wf0 = Workflow(data=WorkflowData(
'test-workflow0', self.datastore0.id, state=WorkflowState.ACTIVE))
self.workflow0 = self.dart.save_workflow(wf0, self.datastore0.id)
wf1 = Workflow(data=WorkflowData(
'test-workflow1', self.datastore1.id, state=WorkflowState.ACTIVE))
self.workflow1 = self.dart.save_workflow(wf1, self.datastore1.id)
a00 = Action(data=ActionData(NoOpActionTypes.action_that_succeeds.name,
NoOpActionTypes.action_that_succeeds.name,
state=ActionState.TEMPLATE))
a01 = Action(data=ActionData(NoOpActionTypes.action_that_succeeds.name,
NoOpActionTypes.action_that_succeeds.name,
state=ActionState.TEMPLATE))
self.action00, self.action01 = self.dart.save_actions(
[a00, a01], workflow_id=self.workflow0.id)
a10 = Action(data=ActionData(NoOpActionTypes.action_that_succeeds.name,
NoOpActionTypes.action_that_succeeds.name,
state=ActionState.TEMPLATE))
a11 = Action(data=ActionData(NoOpActionTypes.action_that_succeeds.name,
NoOpActionTypes.action_that_succeeds.name,
state=ActionState.TEMPLATE))
self.action10, self.action11 = self.dart.save_actions(
[a10, a11], workflow_id=self.workflow1.id)
tr_args = {'completed_workflow_id': self.workflow0.id}
tr = Trigger(data=TriggerData('test-trigger', 'workflow_completion',
None, tr_args, TriggerState.ACTIVE))
self.trigger = self.dart.save_trigger(tr)
st_args = {
'fire_after': 'ALL',
'completed_trigger_ids': [self.trigger.id]
}
st = Trigger(data=TriggerData('test-super-trigger', 'super',
[self.workflow1.id], st_args,
TriggerState.ACTIVE))
self.super_trigger = self.dart.save_trigger(st)
def test_crud(self):
dst = Datastore(
data=DatastoreData(name='test-datastore',
engine_name='no_op_engine',
args={'action_sleep_time_in_seconds': 0},
tags=['foo']))
posted_datastore = self.dart.save_datastore(dst)
# copy fields that are populated at creation time
dst.data.s3_artifacts_path = posted_datastore.data.s3_artifacts_path
dst.data.s3_logs_path = posted_datastore.data.s3_logs_path
self.assertEqual(posted_datastore.data.to_dict(), dst.data.to_dict())
datastore = self.dart.get_datastore(posted_datastore.id)
self.assertEqual(posted_datastore.to_dict(), datastore.to_dict())
datastore.data.engine_name = 'not_existing_engine'
datastore.data.state = DatastoreState.ACTIVE
put_datastore = self.dart.save_datastore(datastore)
# not all properties can be modified
self.assertEqual(put_datastore.data.engine_name, 'no_op_engine')
self.assertEqual(put_datastore.data.state, DatastoreState.ACTIVE)
self.assertNotEqual(posted_datastore.to_dict(),
put_datastore.to_dict())
self.dart.delete_datastore(datastore.id)
try:
self.dart.get_datastore(datastore.id)
except DartRequestException as e:
self.assertEqual(e.response.status_code, 404)
return
self.fail('datastore should have been missing after delete!')
def setUp(self):
self.dart = Dart(host='localhost', port=5000)
args = {'action_sleep_time_in_seconds': 0}
dst = Datastore(data=DatastoreData('test-datastore', 'no_op_engine', args=args, state=DatastoreState.TEMPLATE))
self.datastore = self.dart.save_datastore(dst)
wf = Workflow(data=WorkflowData('test-workflow', self.datastore.id, state=WorkflowState.ACTIVE))
self.workflow = self.dart.save_workflow(wf, self.datastore.id)
def setUp(self):
self.dart = Dart(host='localhost', port=5000)
args = {'action_sleep_time_in_seconds': 0}
dst = Datastore(data=DatastoreData(name='test-datastore',
engine_name='no_op_engine',
args=args,
state=DatastoreState.ACTIVE))
self.datastore = self.dart.save_datastore(dst)
def test_datastore_schema_invalid(self):
with self.assertRaises(DartValidationException) as context:
dst = Datastore(
data=DatastoreData('test-datastore',
'fake_engine',
args={'data_to_freespace_ratio_yo': 0}))
default_and_validate(dst,
datastore_schema(self.options_json_schema))
self.assertTrue(isinstance(context.exception, DartValidationException))
def setUp(self):
dart = Dart(host='localhost', port=5000)
""" :type dart: dart.client.python.dart_client.Dart """
self.dart = dart
dst_args = {'action_sleep_time_in_seconds': 0}
dst = Datastore(data=DatastoreData('test-datastore',
'no_op_engine',
args=dst_args,
state=DatastoreState.ACTIVE))
self.datastore = self.dart.save_datastore(dst)
def test_create_cluster_with_configuration_overrides(self, mock_call):
mock_call.return_value = json.dumps({'ClusterId': '123'})
datastore = Datastore()
datastore.data = DatastoreData(
name='test_create_cluster_with_configurations_datastore')
datastore.data.args = {
"data_to_freespace_ratio": 0.5,
"dry_run": False,
"instance_count": 1,
"instance_type": "m3.xlarge",
"release_label": "emr-4.8.2"
}
emr_engine = EmrEngine(
ec2_keyname='xxx-yyy-ec2-key-pair-rpt',
instance_profile=
'xxx-yyy-iam-rpt-1-UdsEc2InstanceProfile-1SIA38TXQ7OY1',
service_role=
'xxx-yyy-iam-rpt-1-UdsInstanceProfileRole-FX98BLTMCK60',
region='region',
core_node_limit=30,
impala_docker_repo_base_url='111111111111.wwww/xxx',
impala_version='2.3.0',
cluster_tags={
'Name': 'xxx-yyy-uds',
'Product': 'xxx',
'Function': 'a-b',
'Accounting': '222-1111111'
},
subnet_id='subnetid12345',
dart_host='somehost',
dart_port=5000)
instance_groups_args = [
(1, 'MASTER', 'm3.xlarge', 'ON_DEMAND', 'master'),
(1, 'CORE', 'm3.xlarge', 'ON_DEMAND', 'core'),
]
create_cluster(bootstrap_actions_args=[],
cluster_name="test_create_cluster_with_configurations",
datastore=datastore,
emr_engine=emr_engine,
instance_groups_args=instance_groups_args,
configuration_overrides=self.CONFIGURATION_OVERRIDES)
mock_call.assert_called_once()
args = mock_call.call_args
cmd_list = args[0][0].split(' ')
pos = cmd_list.index('--configurations')
file_url = cmd_list[pos + 1]
self.check_extra_configs(file_url)
def setUp(self):
self.dart = Dart(host='localhost', port=5000)
args = {'action_sleep_time_in_seconds': 0}
dst = Datastore(data=DatastoreData(name='test-datastore',
engine_name='no_op_engine',
args=args,
state=DatastoreState.TEMPLATE))
self.datastore = self.dart.save_datastore(dst)
wf = Workflow(data=WorkflowData(name='test-workflow',
datastore_id=self.datastore.id))
self.workflow = self.dart.save_workflow(workflow=wf,
datastore_id=self.datastore.id)
self.maxDiff = 99999
def setUp(self):
dart = Dart(host='localhost', port=5000)
""" :type dart: dart.client.python.dart_client.Dart """
self.dart = dart
cs = [
Column('c1', DataType.VARCHAR, 50),
Column('c2', DataType.BIGINT)
]
df = DataFormat(FileFormat.TEXTFILE, RowFormat.DELIMITED)
dataset_data = DatasetData(
name='test-dataset',
table_name='test_dataset_table',
load_type=LoadType.INSERT,
location=('s3://' + os.environ['DART_TEST_BUCKET'] + '/impala'),
data_format=df,
columns=cs,
tags=[])
self.dataset = self.dart.save_dataset(Dataset(data=dataset_data))
start = 's3://' + os.environ['DART_TEST_BUCKET'] + '/impala/impala'
end = 's3://' + os.environ['DART_TEST_BUCKET'] + '/impala/install'
regex = '.*\\.rpm'
ds = Subscription(data=SubscriptionData(
'test-subscription', self.dataset.id, start, end, regex))
self.subscription = self.dart.save_subscription(ds)
dst_args = {'action_sleep_time_in_seconds': 0}
dst = Datastore(data=DatastoreData('test-datastore',
'no_op_engine',
args=dst_args,
state=DatastoreState.TEMPLATE))
self.datastore = self.dart.save_datastore(dst)
wf = Workflow(data=WorkflowData(
'test-workflow', self.datastore.id, state=WorkflowState.ACTIVE))
self.workflow = self.dart.save_workflow(wf, self.datastore.id)
a_args = {'subscription_id': self.subscription.id}
a0 = Action(data=ActionData(NoOpActionTypes.action_that_succeeds.name,
NoOpActionTypes.action_that_succeeds.name,
state=ActionState.TEMPLATE))
a1 = Action(data=ActionData(NoOpActionTypes.consume_subscription.name,
NoOpActionTypes.consume_subscription.name,
a_args,
state=ActionState.TEMPLATE))
self.action0, self.action1 = self.dart.save_actions(
[a0, a1], workflow_id=self.workflow.id)
def test_datastore_schema(self):
dst = Datastore(data=DatastoreData('test-datastore',
'fake_engine',
args={
'data_to_freespace_ratio': 0,
'secret': 'hi'
}))
obj_before = dst.to_dict()
schema = datastore_schema(self.options_json_schema)
dst = default_and_validate(dst, schema)
obj_after = dst.to_dict()
self.assertNotEqual(obj_before, obj_after)
self.assertEqual(obj_after['data']['args']['secret'], 'hi')
secrets = {}
purge_secrets(obj_after, schema, secrets)
self.assertEqual(obj_after['data']['args'].get('secret'), None)
self.assertEqual(secrets, {'secret': 'hi'})
def setUp(self):
dart = Dart(host='localhost', port=5000)
""" :type dart: dart.client.python.dart_client.Dart """
self.dart = dart
dst_args = {'action_sleep_time_in_seconds': 0}
dst = Datastore(data=DatastoreData('test-datastore',
'no_op_engine',
args=dst_args,
state=DatastoreState.ACTIVE))
self.datastore = self.dart.save_datastore(dst)
wf = Workflow(data=WorkflowData(
'test-workflow', self.datastore.id, state=WorkflowState.ACTIVE))
self.workflow = self.dart.save_workflow(wf, self.datastore.id)
a = Action(data=ActionData(NoOpActionTypes.action_that_fails.name,
NoOpActionTypes.action_that_fails.name,
state=ActionState.TEMPLATE))
self.dart.save_actions([a], workflow_id=self.workflow.id)
def get_static_subgraphs_by_engine_name_all_engines_related_none(
engine_names, graph_entity_service):
sub_graph_map = {}
for engine_name in engine_names:
entity_models = graph_entity_service.to_entity_models_with_randomized_ids(
[
Datastore(id=Ref.datastore(1),
data=DatastoreData(name='%s_datastore' % engine_name,
engine_name=engine_name,
state=DatastoreState.INACTIVE))
])
sub_graph_map[engine_name] = [
SubGraph(
name='datastore',
description='create a new datastore entity',
related_type=None,
related_is_a=None,
graph=graph_entity_service.to_graph(None, entity_models),
entity_map=graph_entity_service.to_entity_map(entity_models),
icon='⬟',
)
]
return sub_graph_map
Column('fruitSlice', DataType.STRING),
Column('cacheHitMiss', DataType.STRING),
],
compression=Compression.BZ2,
partitions=[
Column('year', DataType.STRING),
Column('week', DataType.STRING),
],
)))
print 'created dataset: %s' % dataset.id
datastore = dart.save_datastore(Datastore(
data=DatastoreData(
name='weblogs_DW-3503',
engine_name='emr_engine',
state=DatastoreState.ACTIVE,
args={
'data_to_freespace_ratio': 0.30,
}
)
))
print 'created datastore: %s' % datastore.id
actions = dart.save_actions(
actions=[
Action(data=ActionData('start_datastore', 'start_datastore')),
Action(data=ActionData('load_dataset', 'load_dataset', args={
'dataset_id': dataset.id,
's3_path_start_prefix_inclusive': 's3://example-bucket/weblogs/www.retailmenot.com/ec2/2014/50',
's3_path_end_prefix_exclusive': 's3://example-bucket/weblogs/www.retailmenot.com/ec2/2015/00',
's3_path_regex_filter': 's3://example-bucket/weblogs/www.retailmenot.com/ec2/2014/../www\\.retailmenot\\.com.*',
'target_file_format': FileFormat.TEXTFILE,
Column('featuredCouponPosition', DataType.INT),
Column('commentCount', DataType.INT),
Column('mallCount', DataType.INT),
Column('clickCount', DataType.INT),
Column('merchantName', DataType.STRING),
Column('merchantPosition', DataType.INT),
],
compression=Compression.SNAPPY,
partitions=[Column('createdpartition', DataType.STRING)],
))))
print 'created dataset: %s' % dataset.id
datastore = dart.save_datastore(Datastore(
data=DatastoreData(
'beacon_native_app_impala',
'emr_engine',
state=DatastoreState.TEMPLATE,
args={'data_to_freespace_ratio': 0.25}
)
))
print 'created datastore: %s' % datastore.id
workflow = dart.save_workflow(Workflow(
data=WorkflowData(
'load_beacon_native_app_impala',
datastore.id,
state=WorkflowState.ACTIVE,
on_failure_email=['*****@*****.**'],
on_success_email=['*****@*****.**'],
on_started_email=['*****@*****.**'],
)
), datastore.id)
's3://example-bucket/prd/inbound/overlord/eu-all-events/2015/08/05/',
on_success_email=['*****@*****.**'],
on_failure_email=['*****@*****.**'],
)))
print 'created subscription: %s' % subscription.id
print 'awaiting subscription generation...'
subscription = dart.await_subscription_generation(subscription.id)
assert subscription.data.state == SubscriptionState.ACTIVE
print 'done.'
datastore = dart.save_datastore(
Datastore(data=DatastoreData(
name='owen_eu_parquet_DW-3213_v3',
engine_name='emr_engine',
state=DatastoreState.ACTIVE,
args={
# 'data_to_freespace_ratio': 0.05,
'instance_count': 3,
})))
print 'created datastore: %s' % datastore.id
a0, a1 = dart.save_actions(actions=[
Action(data=ActionData('start_datastore', 'start_datastore')),
Action(data=ActionData(
'load_dataset',
'load_dataset',
args={
'dataset_id': dataset.id,
's3_path_end_prefix_exclusive':
's3://example-bucket/prd/inbound/overlord/eu-all-events/2015/08/05/',
'target_file_format': FileFormat.PARQUET,
Column('fruitSlice', DataType.STRING),
Column('cacheHitMiss', DataType.STRING),
],
compression=Compression.BZ2,
partitions=[
Column('year', DataType.STRING),
Column('week', DataType.STRING),
],
)))
print 'created dataset: %s' % dataset.id
datastore = dart.save_datastore(
Datastore(data=DatastoreData(
name='weblogs_DW-3500_holiday_readiness',
engine_name='emr_engine',
state=DatastoreState.ACTIVE,
args={
# 'instance_count': 30,
'data_to_freespace_ratio': 0.30,
})))
print 'created datastore: %s' % datastore.id
actions = dart.save_actions(
actions=[
Action(data=ActionData('start_datastore', 'start_datastore')),
Action(data=ActionData(
'load_dataset',
'load_dataset',
args={
'dataset_id': dataset.id,
's3_path_start_prefix_inclusive':
's3://example-bucket/weblogs/www.retailmenot.com/ec2/2014/30',
's3://example-bucket/prd/inbound/overlord/raw/rmndirect/2015/08/18/',
on_success_email=['*****@*****.**'],
on_failure_email=['*****@*****.**'],
)))
print 'created subscription: %s' % subscription.id
print 'awaiting subscription generation...'
subscription = dart.await_subscription_generation(subscription.id)
assert subscription.data.state == SubscriptionState.ACTIVE
print 'done.'
datastore = dart.save_datastore(
Datastore(data=DatastoreData(
name='rmn_direct_adhoc',
engine_name='emr_engine',
state=DatastoreState.ACTIVE,
args={
# 'data_to_freespace_ratio': 0.10,
'instance_count': 2,
})))
print 'created datastore: %s' % datastore.id
actions = dart.save_actions(actions=[
Action(data=ActionData('start_datastore', 'start_datastore')),
Action(data=ActionData(
'load_dataset',
'load_dataset',
args={
'dataset_id': '34HWJLF5N9',
's3_path_end_prefix_exclusive':
's3://example-bucket/prd/inbound/overlord/raw/rmndirect/2015/08/18/',
'target_file_format': FileFormat.PARQUET,
from dart.model.action import ActionData
from dart.model.dataset import FileFormat, Compression
from dart.model.dataset import RowFormat
from dart.model.datastore import Datastore
from dart.model.datastore import DatastoreData
from dart.model.datastore import DatastoreState
if __name__ == '__main__':
dart = Dart('localhost', 5000)
assert isinstance(dart, Dart)
datastore = dart.save_datastore(
Datastore(data=DatastoreData(
name='amaceiras_beacon_native_app_null_coupons_issue',
engine_name='emr_engine',
state=DatastoreState.ACTIVE,
args={
# 'data_to_freespace_ratio': 0.05,
'instance_count': 5,
})))
print 'created datastore: %s' % datastore.id
actions = dart.save_actions(
actions=[
Action(data=ActionData('start_datastore', 'start_datastore')),
Action(data=ActionData(
'load_dataset',
'load_dataset',
args={
'dataset_id': 'URBA9XEQEF',
's3_path_start_prefix_inclusive':
's3://example-bucket/nb.retailmenot.com/parsed_logs/2015/33/beacon-v2-2015-08-18',
def setUp(self):
dart = Dart(host='localhost', port=5000)
""" :type dart: dart.client.python.dart_client.Dart """
self.dart = dart
cs = [Column('c1', DataType.VARCHAR, 50), Column('c2', DataType.BIGINT)]
df = DataFormat(FileFormat.PARQUET, RowFormat.NONE)
dataset_data = DatasetData('test-dataset0', 'test_dataset_table0', 's3://test/dataset/0/%s' + random_id(), df, cs)
self.dataset0 = self.dart.save_dataset(Dataset(data=dataset_data))
cs = [Column('c1', DataType.VARCHAR, 50), Column('c2', DataType.BIGINT)]
df = DataFormat(FileFormat.PARQUET, RowFormat.NONE)
dataset1_location = 's3://test/dataset/1/%s' + random_id()
dataset_data = DatasetData('test-dataset1', 'test_dataset_table1', dataset1_location, df, cs)
self.dataset1 = self.dart.save_dataset(Dataset(data=dataset_data))
cs = [Column('c1', DataType.VARCHAR, 50), Column('c2', DataType.BIGINT)]
df = DataFormat(FileFormat.PARQUET, RowFormat.NONE)
dataset_data = DatasetData('test-dataset2-no-show', 'test_dataset_table2', 's3://test/dataset/2/%s' + random_id(), df, cs)
self.dataset2 = self.dart.save_dataset(Dataset(data=dataset_data))
s = Subscription(data=SubscriptionData('test-subscription0', self.dataset0.id))
self.subscription0 = self.dart.save_subscription(s)
s = Subscription(data=SubscriptionData('test-subscription2-no-show', self.dataset2.id))
self.subscription2 = self.dart.save_subscription(s)
dst_args = {'action_sleep_time_in_seconds': 0}
dst = Datastore(data=DatastoreData('test-datastore0', 'no_op_engine', args=dst_args, state=DatastoreState.TEMPLATE))
self.datastore0 = self.dart.save_datastore(dst)
dst = Datastore(data=DatastoreData('test-datastore1', 'no_op_engine', args=dst_args, state=DatastoreState.TEMPLATE))
self.datastore1 = self.dart.save_datastore(dst)
dst = Datastore(data=DatastoreData('test-datastore2-no-show', 'no_op_engine', args=dst_args, state=DatastoreState.ACTIVE))
self.datastore2 = self.dart.save_datastore(dst)
wf0 = Workflow(data=WorkflowData('test-workflow0', self.datastore0.id, state=WorkflowState.ACTIVE))
self.workflow0 = self.dart.save_workflow(wf0, self.datastore0.id)
wf1 = Workflow(data=WorkflowData('test-workflow1', self.datastore1.id, state=WorkflowState.ACTIVE))
self.workflow1 = self.dart.save_workflow(wf1, self.datastore1.id)
wf2 = Workflow(data=WorkflowData('test-workflow2-no-show', self.datastore2.id, state=WorkflowState.ACTIVE))
self.workflow2 = self.dart.save_workflow(wf2, self.datastore2.id)
a_args = {'source_hdfs_path': 'hdfs:///user/hive/warehouse/test', 'destination_s3_path': dataset1_location}
a00 = Action(data=ActionData(NoOpActionTypes.action_that_succeeds.name, NoOpActionTypes.action_that_succeeds.name, state=ActionState.TEMPLATE))
a01 = Action(data=ActionData(NoOpActionTypes.consume_subscription.name, NoOpActionTypes.consume_subscription.name, {'subscription_id': self.subscription0.id}, state=ActionState.TEMPLATE))
a02 = Action(data=ActionData(NoOpActionTypes.action_that_succeeds.name, NoOpActionTypes.action_that_succeeds.name, state=ActionState.TEMPLATE))
a03 = Action(data=ActionData(NoOpActionTypes.copy_hdfs_to_s3_action.name, NoOpActionTypes.copy_hdfs_to_s3_action.name, a_args, state=ActionState.TEMPLATE))
a04 = Action(data=ActionData(NoOpActionTypes.action_that_succeeds.name, NoOpActionTypes.action_that_succeeds.name, state=ActionState.TEMPLATE))
self.action00, self.action01, self.action02, self.action03, self.action04 = \
self.dart.save_actions([a00, a01, a02, a03, a04], workflow_id=self.workflow0.id)
a10 = Action(data=ActionData(NoOpActionTypes.load_dataset.name, NoOpActionTypes.load_dataset.name, {'dataset_id': self.dataset1.id}, state=ActionState.TEMPLATE))
self.action10 = self.dart.save_actions([a10], workflow_id=self.workflow1.id)
a20 = Action(data=ActionData(NoOpActionTypes.action_that_succeeds.name, NoOpActionTypes.action_that_succeeds.name, state=ActionState.HAS_NEVER_RUN))
a21 = Action(data=ActionData(NoOpActionTypes.load_dataset.name, NoOpActionTypes.load_dataset.name, {'dataset_id': self.dataset2.id}, state=ActionState.TEMPLATE))
self.action20 = self.dart.save_actions([a20], datastore_id=self.datastore2.id)
self.action21 = self.dart.save_actions([a21], workflow_id=self.workflow2.id)
self.event1 = self.dart.save_event(Event(data=EventData('test-event1', state=EventState.ACTIVE)))
self.event2 = self.dart.save_event(Event(data=EventData('test-event2-no-show', state=EventState.ACTIVE)))
tr_args = {'event_id': self.event1.id}
tr = Trigger(data=TriggerData('test-event-trigger1', 'event', [self.workflow1.id], tr_args, TriggerState.ACTIVE))
self.event_trigger1 = self.dart.save_trigger(tr)
tr_args = {'event_id': self.event2.id}
tr = Trigger(data=TriggerData('test-event-trigger2-no-show', 'event', [self.workflow2.id], tr_args, TriggerState.ACTIVE))
self.event_trigger2 = self.dart.save_trigger(tr)
st_args = {'fire_after': 'ALL', 'completed_trigger_ids': [self.event_trigger1.id]}
st = Trigger(data=TriggerData('test-super-trigger1', 'super', None, st_args, TriggerState.ACTIVE))
self.super_trigger1 = self.dart.save_trigger(st)
st_args = {'fire_after': 'ANY', 'completed_trigger_ids': [self.super_trigger1.id]}
st = Trigger(data=TriggerData('test-super-trigger2', 'super', [self.workflow1.id], st_args, TriggerState.ACTIVE))
self.super_trigger2 = self.dart.save_trigger(st)
name='weblogs_rmn_subscription',
dataset_id=dataset.id,
on_failure_email=['*****@*****.**', '*****@*****.**'],
on_success_email=['*****@*****.**', '*****@*****.**'],
)))
print 'created subscription: %s' % subscription.id
print 'awaiting subscription generation...'
subscription = dart.await_subscription_generation(subscription.id)
assert subscription.data.state == SubscriptionState.ACTIVE
print 'done.'
datastore = dart.save_datastore(
Datastore(data=DatastoreData(name='weblogs_rmn_legacy',
engine_name='emr_engine',
state=DatastoreState.TEMPLATE,
args={
'data_to_freespace_ratio': 0.50,
})))
print 'created datastore: %s' % datastore.id
workflow = dart.save_workflow(workflow=Workflow(data=WorkflowData(
name='weblogs_rmn_legacy_parse_to_delimited',
datastore_id=datastore.id,
state=WorkflowState.ACTIVE,
on_failure_email=['*****@*****.**', '*****@*****.**'],
on_success_email=['*****@*****.**', '*****@*****.**'],
on_started_email=['*****@*****.**', '*****@*****.**'],
)),
datastore_id=datastore.id)
print 'created workflow: %s' % workflow.id