def test_scenario2(self):
"""
Scenario: Successfully obtaining parsing error counts:
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 update the source with params "<params>"
And I create a dataset
And I wait until the dataset is ready less than <time_2> secs
When I ask for the error counts in the fields
Then the error counts dict is "<error_values>"
Examples:
| data | time_1 | params | time_2 |error_values |
| ../data/iris_missing.csv | 30 | {"fields": {"000000": {"optype": "numeric"}}} |30 |{"000000": 1} |
"""
print self.test_scenario2.__doc__
examples = [[
'data/iris_missing.csv', '30',
'{"fields": {"000000": {"optype": "numeric"}}}', '30',
'{"000000": 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])
source_create.i_update_source_with(self, example[2])
dataset_create.i_create_a_dataset(self)
dataset_create.the_dataset_is_finished_in_less_than(
self, example[3])
dataset_read.i_get_the_errors_values(self)
dataset_read.i_get_the_properties_values(self, 'error counts',
example[4])
def test_scenario2(self):
"""
Scenario: Successfully obtaining parsing error counts:
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 update the source with params "<params>"
And I create a dataset
And I wait until the dataset is ready less than <time_2> secs
When I ask for the error counts in the fields
Then the error counts dict is "<error_values>"
Examples:
| data | time_1 | params | time_2 |error_values |
| ../data/iris_missing.csv | 30 | {"fields": {"000000": {"optype": "numeric"}}} |30 |{"000000": 1} |
"""
print self.test_scenario2.__doc__
examples = [
['data/iris_missing.csv', '30', '{"fields": {"000000": {"optype": "numeric"}}}', '30', '{"000000": 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])
source_create.i_update_source_with(self, example[2])
dataset_create.i_create_a_dataset(self)
dataset_create.the_dataset_is_finished_in_less_than(self,
example[3])
dataset_read.i_get_the_errors_values(self)
dataset_read.i_get_the_properties_values(
self, 'error counts', example[4])
