def test_scenario2(self):
"""
Scenario: Successfully creating an anomaly detector from a dataset and generating the anomalous 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
Then I create an anomaly detector of <rows> anomalies from a dataset
And I wait until the anomaly detector is ready less than <time_4> secs
And I create a dataset with only the anomalies
And I wait until the dataset is ready less than <time_3> secs
And I check that the dataset has <rows> rows
Examples:
| data | time_1 | time_2 | time_3 |time_4| rows|
| ../data/iris_anomalous.csv | 40 | 40 | 80 | 40 | 1
"""
print self.test_scenario2.__doc__
examples = [['data/iris_anomalous.csv', '40', '40', '80', '40', '1']]
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])
anomaly_create.i_create_an_anomaly_with_top_n_from_dataset(
self, example[5])
anomaly_create.the_anomaly_is_finished_in_less_than(
self, example[3])
anomaly_create.create_dataset_with_anomalies(self)
dataset_create.the_dataset_is_finished_in_less_than(
self, example[4])
anomaly_create.the_dataset_has_n_rows(self, example[5])
def test_scenario2(self):
"""
Scenario: Successfully creating an anomaly detector from a dataset and generating the anomalous 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
Then I create an anomaly detector of <rows> anomalies from a dataset
And I wait until the anomaly detector is ready less than <time_4> secs
And I create a dataset with only the anomalies
And I wait until the dataset is ready less than <time_3> secs
And I check that the dataset has <rows> rows
Examples:
| data | time_1 | time_2 | time_3 |time_4| rows|
| ../data/iris_anomalous.csv | 40 | 40 | 80 | 40 | 1
"""
print self.test_scenario2.__doc__
examples = [
['data/iris_anomalous.csv', '40', '40', '80', '40', '1']]
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])
anomaly_create.i_create_an_anomaly_with_top_n_from_dataset(
self, example[5])
anomaly_create.the_anomaly_is_finished_in_less_than(self,
example[3])
anomaly_create.create_dataset_with_anomalies(self)
dataset_create.the_dataset_is_finished_in_less_than(self,
example[4])
anomaly_create.the_dataset_has_n_rows(self, example[5])