def test_scenario10(self):
"""
Scenario: Sucessfully deleting a source in a time range and with a tag:
Given I create a BigML source from file "<data>" storing results in "<output_dir>"
And I check that the source has been created
And I store the source id as lower
And I create a BigML source from file "<data>" with tag "<tag1>" storing results in "<output_dir>"
And I check that the source exists
And I store the source id as reference
And I create a BigML source from file "<data2>" with tag "<tag2>" storing results in "<output_dir2>"
And I check that the failed source exists
And I delete the source using --newer-than and --source-tag "<tag1>" and --status faulty storing results in "<output_dir3>"
Then I check that the reference source doesn't exist
And I check that the upper source exists
Examples:
| data | output_dir | data2 | tag1 | tag2 | output_dir2 | output_dir3
| ../data/iris.csv | ./scenario_del_8 | ../data/faulty.csv |my_tag1 | my_tag2 | ./scenario_del_8_2 | ./scenario_del_8_3
"""
print self.test_scenario10.__doc__
examples = [
['data/iris.csv', 'scenario_del_10', 'my_tag1', 'my_tag2', 'scenario_del_10_2', 'scenario_del_10_3', 'data/faulty.csv']]
for example in examples:
print "\nTesting with:\n", example
test_delete.i_create_source_from_file(self, data=example[0], output_dir=example[1])
test_pred.i_check_create_source(self)
test_delete.i_store_source_id_as_bound(self, which='lower')
test_delete.i_create_faulty_source_from_file_with_tag(self, data=example[6], tag=example[2], output_dir=example[4])
test_delete.i_check_faulty_source_exists(self)
test_delete.i_store_source_id_as_bound(self, which='reference')
test_delete.i_delete_source_newer_faulty_and_tag(self, tag=example[2], output_dir=example[1])
test_delete.i_check_source_does_not_exist(self, source_id=world.source_reference)
test_delete.i_check_source_exists_by_id(self, source_id=world.source_lower)
def test_scenario9(self):
"""
Scenario: Sucessfully deleting resources in a time range and with a tag:
Given I create a BigML source from file "<data>" storing results in "<output_dir>"
And I check that the source has been created
And I store the source id as lower
And I create a BigML source from file "<data>" with tag "<tag1>" storing results in "<output_dir>"
And I check that the source exists
And I create a BigML dataset from the source with tag "<tag1>" storing results in "<output_dir2>"
And I check that the dataset exists
And I delete the resources using --newer-than and --all-tag "<tag1>" storing results in "<output_dir3>"
Then I check that the source doesn't exist
And I check that the dataset doesn't exist
Examples:
| data | output_dir | tag1 | output_dir2 | output_dir3
| ../data/iris.csv | ./scenario_del_9 | my_tag1 | ./scenario_del_9_2 | ./scenario_del_9_3
"""
print self.test_scenario9.__doc__
examples = [["data/iris.csv", "scenario_del_9", "my_tag1", "scenario_del_9_2", "scenario_del_9_3"]]
for example in examples:
print "\nTesting with:\n", example
test_delete.i_create_source_from_file(self, data=example[0], output_dir=example[1])
test_pred.i_check_create_source(self)
test_delete.i_store_source_id_as_bound(self, which="lower")
test_delete.i_create_source_from_file_with_tag(self, data=example[0], tag=example[2], output_dir=example[3])
test_delete.i_check_source_exists(self)
test_delete.i_store_source_id_as_bound(self, which="reference")
test_delete.i_create_dataset_from_source_with_tag(self, tag=example[2], output_dir=example[4])
test_delete.i_check_dataset_exists(self)
test_delete.i_delete_resources_newer_and_tag(self, tag=example[2], output_dir=example[1])
test_delete.i_check_source_does_not_exist(self, source_id=world.source_reference)
test_delete.i_check_dataset_does_not_exist(self, dataset_id=world.dataset)
test_delete.i_check_source_exists_by_id(self, source_id=world.source_lower)
def test_scenario8(self):
"""
Scenario: Sucessfully deleting a source in a time range and with a tag:
Given I create a BigML source from file "<data>" storing results in "<output_dir>"
And I check that the source has been created
And I store the source id as lower
And I create a BigML source from file "<data>" with tag "<tag1>" storing results in "<output_dir>"
And I check that the source exists
And I store the source id as reference
And I create a BigML source from file "<data>" with tag "<tag2>" storing results in "<output_dir2>"
And I check that the source has been created
And I store the source id as upper
And I delete the source using --newer-than and --source-tag "<tag1>" storing results in "<output_dir3>"
Then I check that the reference source doesn't exist
And I check that the upper source exists
Examples:
| data | output_dir | tag1 | tag2 | output_dir2 | output_dir3
| ../data/iris.csv | ./scenario_del_8 | my_tag1 | my_tag2 | ./scenario_del_8_2 | ./scenario_del_8_3
"""
print self.test_scenario8.__doc__
examples = [[
'data/iris.csv', 'scenario_del_8', 'my_tag1', 'my_tag2',
'scenario_del_8_2', 'scenario_del_8_3'
]]
for example in examples:
print "\nTesting with:\n", example
test_delete.i_create_source_from_file(self,
data=example[0],
output_dir=example[1])
test_pred.i_check_create_source(self)
test_delete.i_store_source_id_as_bound(self, which='lower')
test_delete.i_create_source_from_file_with_tag(
self, data=example[0], tag=example[2], output_dir=example[4])
test_delete.i_check_source_exists(self)
test_delete.i_store_source_id_as_bound(self, which='reference')
test_delete.i_create_source_from_file_with_tag(
self, data=example[0], tag=example[3], output_dir=example[5])
test_pred.i_check_create_source(self)
test_delete.i_store_source_id_as_bound(self, which='upper')
test_delete.i_delete_source_newer_and_tag(self,
tag=example[2],
output_dir=example[1])
test_delete.i_check_source_does_not_exist(
self, source_id=world.source_reference)
test_delete.i_check_source_exists_by_id(
self, source_id=world.source_upper)
def test_scenario3(self):
"""
Scenario: Successfully creating resources with no project association:
Given I create a BigML source from file "<data>" storing results in "<output_dir>"
And I check that the source has been created
Then the source has no project association
Examples:
| data | output_dir
| ../data/iris.csv | ./scenario_p_3
"""
print self.test_scenario3.__doc__
examples = [
['data/iris.csv', 'scenario_p_3']]
for example in examples:
print "\nTesting with:\n", example
delete.i_create_source_from_file(self, data=example[0], output_dir=example[1])
test_pred.i_check_create_source(self)
test_project.check_source_in_no_project(self)
def test_scenario3(self):
"""
Scenario: Successfully creating resources with no project association:
Given I create a BigML source from file "<data>" storing results in "<output_dir>"
And I check that the source has been created
Then the source has no project association
Examples:
| data | output_dir
| ../data/iris.csv | ./scenario_p_3
"""
print self.test_scenario3.__doc__
examples = [
['data/iris.csv', 'scenario_p_3']]
for example in examples:
print "\nTesting with:\n", example
delete.i_create_source_from_file(self, data=example[0], output_dir=example[1])
test_pred.i_check_create_source(self)
test_project.check_source_in_no_project(self)
def test_scenario5(self):
"""
Scenario: Failing deleting a source from a file when a different resource_types is used:
Given I create a BigML source from file "<data>" storing results in "<output_dir>"
And I check that the source has been created
And I delete the source by id using --from-file, the source file and --resource-types "<resource_types>" storing results in "<output_dir>"
Then I check that the source exists
Examples:
| data | output_dir | resource_types
| ../data/iris.csv | ./scenario_del_5 | dataset,model
"""
print self.test_scenario5.__doc__
examples = [["data/iris.csv", "scenario_del_5", "dataset,model"]]
for example in examples:
print "\nTesting with:\n", example
test_delete.i_create_source_from_file(self, data=example[0], output_dir=example[1])
test_pred.i_check_create_source(self)
test_delete.i_delete_source_by_file_filtered(self, resource_types=example[2], output_dir=example[1])
test_delete.i_check_source_exists(self)
def test_scenario1(self):
"""
Scenario: Successfully deleting a source by id:
Given I create a BigML source from file "<data>" storing results in "<output_dir>"
And I check that the source exists
And I delete the source by id using --ids storing results in "<output_dir>"
Then I check that the source doesn't exist
Examples:
| data | output_dir |
| ../data/iris.csv | ./scenario_del_1 |
"""
print self.test_scenario1.__doc__
examples = [["data/iris.csv", "scenario_del_1"]]
for example in examples:
print "\nTesting with:\n", example
test_delete.i_create_source_from_file(self, data=example[0], output_dir=example[1])
test_delete.i_check_source_exists(self)
test_delete.i_delete_source_by_ids(self, output_dir=example[1])
test_delete.i_check_source_does_not_exist(self, source_id=None)
def test_scenario2(self):
"""
Scenario: Failing deleting a source by id when --dry-run is used:
Given I create a BigML source from file "<data>" storing results in "<output_dir>"
And I check that the source has been created
And I delete the source by id using --ids and --dry-run storing results in "<output_dir>"
Then I check that the source exists
Examples:
| data | output_dir |
| ../data/iris.csv | ./scenario_del_2 |
"""
print self.test_scenario2.__doc__
examples = [["data/iris.csv", "scenario_del_2"]]
for example in examples:
print "\nTesting with:\n", example
test_delete.i_create_source_from_file(self, data=example[0], output_dir=example[1])
test_pred.i_check_create_source(self)
test_delete.i_delete_source_by_ids_dry(self, output_dir=example[1])
test_delete.i_check_source_exists(self)
def test_scenario1(self):
"""
Scenario: Sucessfully deleting resources from a directory:
Given I create BigML resources uploading train "<data>" storing results in "<output_dir>"
And I check that the number of resources has changed
And I delete the resources from the output directory
Then the number of resources has not changed
Examples:
| data | output_dir
| ../data/iris.csv | ./scenario_del_10
"""
print self.test_scenario1.__doc__
examples = [
['data/iris.csv', 'scenario_del_10']]
for example in examples:
print "\nTesting with:\n", example
test_delete.i_create_source_from_file(self, data=example[0], output_dir=example[1])
test_delete.i_check_changed_number_of_resources(self)
test_delete.i_delete_resources_from_dir(self)
test_delete.i_check_equal_number_of_resources(self)
def test_scenario6(self):
"""
Scenario: Sucessfully deleting a source in a time range:
Given I create a BigML source from file "<data>" storing results in "<output_dir>"
And I check that the source has been created
And I store the source id as lower
And I create a BigML source from file "<data>" storing results in "<output_dir2>"
And I check that the source exists
And I store the source id as reference
And I create a BigML source from file "<data>" storing results in "<output_dir3>"
And I check that the source has been created
And I store the source id as upper
And I delete the source using --older-than and --newer-than storing results in "<output_dir>"
Then I check that the reference source doesn't exist
Examples:
| data | output_dir | output_dir2 | output_dir3
| ../data/iris.csv | ./scenario_del_6 | ./scenario_del_6_2 | ./scenario_del_6_3
"""
print self.test_scenario6.__doc__
examples = [["data/iris.csv", "scenario_del_6", "scenario_del_6_2", "scenario_del_6_3"]]
for example in examples:
print "\nTesting with:\n", example
test_delete.i_create_source_from_file(self, data=example[0], output_dir=example[1])
test_pred.i_check_create_source(self)
test_delete.i_store_source_id_as_bound(self, which="lower")
test_delete.i_create_source_from_file(self, data=example[0], output_dir=example[2])
test_delete.i_check_source_exists(self)
test_delete.i_store_source_id_as_bound(self, which="reference")
test_delete.i_create_source_from_file(self, data=example[0], output_dir=example[3])
test_pred.i_check_create_source(self)
test_delete.i_store_source_id_as_bound(self, which="upper")
test_delete.i_delete_source_older_newer(self, output_dir=example[3])
test_delete.i_check_source_does_not_exist(self, source_id=world.source_reference)
def test_scenario7(self):
"""
Scenario: Failing deleting a source in a time range when a different resource_types is used:
Given I create a BigML source from file "<data>" storing results in "<output_dir>"
And I check that the source has been created
And I store the source id as lower
And I create a BigML source from file "<data>" storing results in "<output_dir2>"
And I check that the source has been created
And I store the source id as reference
And I create a BigML source from file "<data>" storing results in "<output_dir3>"
And I check that the source has been created
And I store the source id as upper
And I delete the source using --older-than and --newer-than with resource_types "<resource_types>" storing results in "<output_dir>"
Then I check that the reference source exists
Examples:
| data | output_dir | resource_types| output_dir2 | output_dir3
| ../data/iris.csv | ./scenario_del_7 | dataset,model | ./scenario_del_7_2 | ./scenario_del_7_3
"""
print self.test_scenario7.__doc__
examples = [
['data/iris.csv', 'scenario_del_7', 'dataset,model', 'scenario_del_7_2', 'scenario_del_7_3']]
for example in examples:
print "\nTesting with:\n", example
test_delete.i_create_source_from_file(self, data=example[0], output_dir=example[1])
test_pred.i_check_create_source(self)
test_delete.i_store_source_id_as_bound(self, which='lower')
test_delete.i_create_source_from_file(self, data=example[0], output_dir=example[3])
test_pred.i_check_create_source(self)
test_delete.i_store_source_id_as_bound(self, which='reference')
test_delete.i_create_source_from_file(self, data=example[0], output_dir=example[4])
test_pred.i_check_create_source(self)
test_delete.i_store_source_id_as_bound(self, which='upper')
test_delete.i_delete_source_older_newer_with_resource_types(self, resource_types=example[2], output_dir=example[1])
test_delete.i_check_source_exists_by_id(self, source_id=world.source_reference)
def test_scenario2(self):
"""
Scenario: Failing deleting a source by id when --dry-run is used:
Given I create a BigML source from file "<data>" storing results in "<output_dir>"
And I check that the source has been created
And I delete the source by id using --ids and --dry-run storing results in "<output_dir>"
Then I check that the source exists
Examples:
| data | output_dir |
| ../data/iris.csv | ./scenario_del_2 |
"""
print self.test_scenario2.__doc__
examples = [['data/iris.csv', 'scenario_del_2']]
for example in examples:
print "\nTesting with:\n", example
test_delete.i_create_source_from_file(self,
data=example[0],
output_dir=example[1])
test_pred.i_check_create_source(self)
test_delete.i_delete_source_by_ids_dry(self, output_dir=example[1])
test_delete.i_check_source_exists(self)
def test_scenario1(self):
"""
Scenario: Successfully deleting a source by id:
Given I create a BigML source from file "<data>" storing results in "<output_dir>"
And I check that the source exists
And I delete the source by id using --ids storing results in "<output_dir>"
Then I check that the source doesn't exist
Examples:
| data | output_dir |
| ../data/iris.csv | ./scenario_del_1 |
"""
print self.test_scenario1.__doc__
examples = [['data/iris.csv', 'scenario_del_1']]
for example in examples:
print "\nTesting with:\n", example
test_delete.i_create_source_from_file(self,
data=example[0],
output_dir=example[1])
test_delete.i_check_source_exists(self)
test_delete.i_delete_source_by_ids(self, output_dir=example[1])
test_delete.i_check_source_does_not_exist(self, source_id=None)
def test_scenario1(self):
"""
Scenario: Sucessfully deleting resources from a directory:
Given I create BigML resources uploading train "<data>" storing results in "<output_dir>"
And I check that the number of resources has changed
And I delete the resources from the output directory
Then the number of resources has not changed
Examples:
| data | output_dir
| ../data/iris.csv | ./scenario_del_10
"""
print self.test_scenario1.__doc__
examples = [['data/iris.csv', 'scenario_del_10']]
for example in examples:
print "\nTesting with:\n", example
test_delete.i_create_source_from_file(self,
data=example[0],
output_dir=example[1])
test_delete.i_check_changed_number_of_resources(self)
test_delete.i_delete_resources_from_dir(self)
test_delete.i_check_equal_number_of_resources(self)
def test_scenario5(self):
"""
Scenario: Failing deleting a source from a file when a different resource_types is used:
Given I create a BigML source from file "<data>" storing results in "<output_dir>"
And I check that the source has been created
And I delete the source by id using --from-file, the source file and --resource-types "<resource_types>" storing results in "<output_dir>"
Then I check that the source exists
Examples:
| data | output_dir | resource_types
| ../data/iris.csv | ./scenario_del_5 | dataset,model
"""
print self.test_scenario5.__doc__
examples = [['data/iris.csv', 'scenario_del_5', 'dataset,model']]
for example in examples:
print "\nTesting with:\n", example
test_delete.i_create_source_from_file(self,
data=example[0],
output_dir=example[1])
test_pred.i_check_create_source(self)
test_delete.i_delete_source_by_file_filtered(
self, resource_types=example[2], output_dir=example[1])
test_delete.i_check_source_exists(self)
def test_scenario6(self):
"""
Scenario: Sucessfully deleting a source in a time range:
Given I create a BigML source from file "<data>" storing results in "<output_dir>"
And I check that the source has been created
And I store the source id as lower
And I create a BigML source from file "<data>" storing results in "<output_dir2>"
And I check that the source exists
And I store the source id as reference
And I create a BigML source from file "<data>" storing results in "<output_dir3>"
And I check that the source has been created
And I store the source id as upper
And I delete the source using --older-than and --newer-than storing results in "<output_dir>"
Then I check that the reference source doesn't exist
Examples:
| data | output_dir | output_dir2 | output_dir3
| ../data/iris.csv | ./scenario_del_6 | ./scenario_del_6_2 | ./scenario_del_6_3
"""
print self.test_scenario6.__doc__
examples = [[
'data/iris.csv', 'scenario_del_6', 'scenario_del_6_2',
'scenario_del_6_3'
]]
for example in examples:
print "\nTesting with:\n", example
test_delete.i_create_source_from_file(self,
data=example[0],
output_dir=example[1])
test_pred.i_check_create_source(self)
test_delete.i_store_source_id_as_bound(self, which='lower')
test_delete.i_create_source_from_file(self,
data=example[0],
output_dir=example[2])
test_delete.i_check_source_exists(self)
test_delete.i_store_source_id_as_bound(self, which='reference')
test_delete.i_create_source_from_file(self,
data=example[0],
output_dir=example[3])
test_pred.i_check_create_source(self)
test_delete.i_store_source_id_as_bound(self, which='upper')
test_delete.i_delete_source_older_newer(self,
output_dir=example[3])
test_delete.i_check_source_does_not_exist(
self, source_id=world.source_reference)
def test_scenario7(self):
"""
Scenario: Failing deleting a source in a time range when a different resource_types is used:
Given I create a BigML source from file "<data>" storing results in "<output_dir>"
And I check that the source has been created
And I store the source id as lower
And I create a BigML source from file "<data>" storing results in "<output_dir2>"
And I check that the source has been created
And I store the source id as reference
And I create a BigML source from file "<data>" storing results in "<output_dir3>"
And I check that the source has been created
And I store the source id as upper
And I delete the source using --older-than and --newer-than with resource_types "<resource_types>" storing results in "<output_dir>"
Then I check that the reference source exists
Examples:
| data | output_dir | resource_types| output_dir2 | output_dir3
| ../data/iris.csv | ./scenario_del_7 | dataset,model | ./scenario_del_7_2 | ./scenario_del_7_3
"""
print self.test_scenario7.__doc__
examples = [[
'data/iris.csv', 'scenario_del_7', 'dataset,model',
'scenario_del_7_2', 'scenario_del_7_3'
]]
for example in examples:
print "\nTesting with:\n", example
test_delete.i_create_source_from_file(self,
data=example[0],
output_dir=example[1])
test_pred.i_check_create_source(self)
test_delete.i_store_source_id_as_bound(self, which='lower')
test_delete.i_create_source_from_file(self,
data=example[0],
output_dir=example[3])
test_pred.i_check_create_source(self)
test_delete.i_store_source_id_as_bound(self, which='reference')
test_delete.i_create_source_from_file(self,
data=example[0],
output_dir=example[4])
test_pred.i_check_create_source(self)
test_delete.i_store_source_id_as_bound(self, which='upper')
test_delete.i_delete_source_older_newer_with_resource_types(
self, resource_types=example[2], output_dir=example[1])
test_delete.i_check_source_exists_by_id(
self, source_id=world.source_reference)
