def test_scenario2(self):
"""
Scenario: Successfully associating resources to an existing project:
Given I create a BigML source uploading train "<data>" file and associate it to a new project named "<project>" storing results in "<output_dir>"
And I check that the project has been created
And I check that the source has been created
And I create a BigML source uploading train "<data>" file and associate it to the last created project id storing results in "<output_dir2>"
Then the source is associated to the project
Examples:
| data | project | output_dir | output_dir2
| ../data/iris.csv | My new project | ./scenario_p_2 | ./scenario_p_2_1
"""
print self.test_scenario2.__doc__
examples = [[
'data/iris.csv', 'My new project', 'scenario_p_2', 'scenario_p_2_1'
]]
for example in examples:
print "\nTesting with:\n", example
test_project.i_create_source_with_project(self,
data=example[0],
project=example[1],
output_dir=example[2])
test_project.i_check_create_project(self)
test_pred.i_check_create_source(self)
test_project.i_create_source_with_project_id(self,
data=example[0],
output_dir=example[3])
test_project.check_source_in_project(self)
def test_scenario4(self):
"""
Scenario: Successfully creating and updating project:
Given I create a BigML project "<project>" and log results in "<output_dir>"
And I check that the project has been created
And I update the project params "<params>" to "<values>"
And I check that the project has been updated
Then the project params "<params>" are "<values>"
Examples:
| project | output_dir | params | values
| My new project | ./scenario_p_4 | name, category | my_project_name, 1
"""
print self.test_scenario4.__doc__
examples = [[
'My new project', 'scenario_p_4', ['name', 'category'],
['my_project_name', 1]
]]
for example in examples:
print "\nTesting with:\n", example
test_project.i_create_project(self,
project=example[0],
output_dir=example[1])
test_project.i_check_create_project(self)
test_project.i_update_project(self,
params=example[2],
values=example[3])
test_project.i_check_update_project(self)
test_project.check_params_values(self,
params=example[2],
values=example[3])
def test_scenario1(self):
"""
Scenario: Successfully creating a project and associating resources to it:
Given I create a BigML project in an organization named "<project>" storing results in "<output_dir>"
And I create a BigML source uploading train "<data>" file and associate it to the organization project storing results in "<output_dir>"
And I check that the project has been created
And I check that the source has been created
Then the source is associated to the project
Examples:
| data | project | output_dir
| ../data/iris.csv | My new project | ./scenario_org_1
"""
print self.test_scenario1.__doc__
examples = [['data/iris.csv', 'My new project', 'scenario_org_1']]
for example in examples:
print "\nTesting with:\n", example
test_project.i_create_project_in_org(
self,
name=example[1],
output_dir=example[2],
organization=BIGML_ORGANIZATION)
test_project.i_check_create_project(self, organization=True)
test_project.i_create_source_with_org_project(
self, data=example[0], output_dir=example[2])
test_pred.i_check_create_source(self)
test_project.check_source_in_project(self)
def test_scenario1(self):
"""
Scenario: Successfully creating a project and associating resources to it:
Given I create a BigML source uploading train "<data>" file and associate it to a new project named "<project>" storing results in "<output_dir>"
And I check that the project has been created
And I check that the source has been created
Then the source is associated to the project
Examples:
| data | project | output_dir
| ../data/iris.csv | My new project | ./scenario_p_1
"""
print self.test_scenario1.__doc__
examples = [
['data/iris.csv', 'My new project', 'scenario_p_1']]
for example in examples:
print "\nTesting with:\n", example
test_project.i_create_source_with_project(self, data=example[0], project=example[1], output_dir=example[2])
test_project.i_check_create_project(self)
test_pred.i_check_create_source(self)
test_project.check_source_in_project(self)
def test_scenario4(self):
"""
Scenario: Successfully creating and updating project:
Given I create a BigML project "<project>" and log results in "<output_dir>"
And I check that the project has been created
And I update the project params "<params>" to "<values>"
And I check that the project has been updated
Then the project params "<params>" are "<values>"
Examples:
| project | output_dir | params | values
| My new project | ./scenario_p_4 | name, category | my_project_name, 1
"""
print self.test_scenario4.__doc__
examples = [
['My new project', 'scenario_p_4', ['name', 'category'], ['my_project_name', 1]]]
for example in examples:
print "\nTesting with:\n", example
test_project.i_create_project(self, project=example[0], output_dir=example[1])
test_project.i_check_create_project(self)
test_project.i_update_project(self, params=example[2], values=example[3])
test_project.i_check_update_project(self)
test_project.check_params_values(self, params=example[2], values=example[3])
