def test_scenario1(self):
"""
Scenario 1: Successfully creating an optiml from a dataset:
Given I create a data source uploading a "<data>" file
And I wait until the source is ready less than <time_1> secs
And I create a dataset
And I wait until the dataset is ready less than <time_2> secs
And I create an optiml from a dataset
And I wait until the optiml is ready less than <time_3> secs
And I update the optiml name to "<optiml_name>"
When I wait until the optiml is ready less than <time_4> secs
Then the optiml name is "<optiml_name>"
Examples:
| data | time_1 | time_2 | time_3 | time_4 | optiml_name |
| ../data/iris.csv | 10 | 10 | 2000 | 20 | my new optiml name |
"""
print self.test_scenario1.__doc__
examples = [
['data/iris.csv', '10', '10', '10000', '20', 'my new optiml name']]
for example in examples:
print "\nTesting with:\n", example
source_create.i_upload_a_file(self, example[0])
source_create.the_source_is_finished(self, example[1])
dataset_create.i_create_a_dataset(self)
dataset_create.the_dataset_is_finished_in_less_than(self, example[2])
model_create.i_create_an_optiml_with_objective_and_params( \
self, parms='{"max_training_time": %s, "model_types": '
'["model", "logisticregression"]}' % \
(int(float(example[3])/1000) - 1))
model_create.the_optiml_is_finished_in_less_than(self, example[3])
model_create.i_update_optiml_name(self, example[5])
model_create.the_optiml_is_finished_in_less_than(self, example[4])
model_create.i_check_optiml_name(self, example[5])
def test_scenario1(self):
"""
Scenario 1: Successfully creating an optiml from a dataset:
Given I create a data source uploading a "<data>" file
And I wait until the source is ready less than <time_1> secs
And I create a dataset
And I wait until the dataset is ready less than <time_2> secs
And I create an optiml from a dataset
And I wait until the optiml is ready less than <time_3> secs
And I update the optiml name to "<optiml_name>"
When I wait until the optiml is ready less than <time_4> secs
Then the optiml name is "<optiml_name>"
Examples:
| data | time_1 | time_2 | time_3 | time_4 | optiml_name |
| ../data/iris.csv | 10 | 10 | 2000 | 20 | my new optiml name |
"""
print self.test_scenario1.__doc__
examples = [
['data/iris.csv', '10', '10', '10000', '20', 'my new optiml name']]
for example in examples:
print "\nTesting with:\n", example
source_create.i_upload_a_file(self, example[0])
source_create.the_source_is_finished(self, example[1])
dataset_create.i_create_a_dataset(self)
dataset_create.the_dataset_is_finished_in_less_than(self, example[2])
model_create.i_create_an_optiml_with_objective_and_params( \
self, parms='{"max_training_time": %s, "model_types": '
'["model", "logisticregression"]}' % \
(int(float(example[3])/1000) - 1))
model_create.the_optiml_is_finished_in_less_than(self, example[3])
model_create.i_update_optiml_name(self, example[5])
model_create.the_optiml_is_finished_in_less_than(self, example[4])
model_create.i_check_optiml_name(self, example[5])