def test_xml_schema(self):
for (example, ExampleDataset) in examples.examples:
schema = parseString(
example.schema_xml.replace(' ', '').replace('\n', ''))
dataset = ExampleDataset(Project(None))
gen_schema = parseString(get_xml_schema(dataset))
# TODO: test for XML content (not so easily comparable)
self.assertEqual(len(schema.childNodes),
len(gen_schema.childNodes))
self.assertEqual(
len(schema.childNodes[0].childNodes),
len(gen_schema.childNodes[0].childNodes), '%s != %s' %
(', '.join(n.nodeName
for n in schema.childNodes[0].childNodes),
', '.join(n.nodeName
for n in gen_schema.childNodes[0].childNodes)))
self.assertEqual(
len(schema.childNodes[0].childNodes[1].childNodes),
len(gen_schema.childNodes[0].childNodes[1].childNodes),
'%s != %s (%s)' %
(', '.join(
n.nodeName
for n in schema.childNodes[0].childNodes[1].childNodes),
', '.join(n.nodeName for n in gen_schema.childNodes[0].
childNodes[1].childNodes), example))
def test_create_and_delete_project(self):
project = Project(self.connection).create(TEST_PROJECT_NAME)
self.assert_(project is not None)
self.assert_(project.id is not None)
project.delete()
self.assertRaises(ProjectNotOpenedError, project.delete)
self.assertRaises(ProjectNotFoundError,
project.load,
name=TEST_PROJECT_NAME)
def test_dataset_maql(self):
for (example, ExampleDataset) in examples.examples:
dataset = ExampleDataset(Project(None))
maql_generated = dataset.get_maql()
diff = '\n'.join(
difflib.unified_diff(maql_generated.splitlines(),
example.maql.splitlines(),
lineterm=''))
self.assertEquals(example.maql, maql_generated, diff)
def test_create_structure(self):
project = Project(self.connection).create(TEST_PROJECT_NAME)
self.assertRaises(MaqlExecutionFailed, project.execute_maql,
'CREATE DATASET {dat')
for (example, ExampleDataset) in examples.examples:
dataset = ExampleDataset(project)
self.assertRaises(DataSetNotFoundError,
dataset.get_metadata,
name=dataset.schema_name)
dataset.create()
self.assert_(dataset.get_metadata(name=dataset.schema_name))
project.delete()
def handle(self, **options):
'''GoodData upload command'''
use_datasets = options.get('datasets').split(',') if options.get('datasets') else None
gd_classes = discover_gooddata_modules()
if use_datasets:
for app_cls_name in gd_classes.keys():
if app_cls_name not in use_datasets:
del gd_classes[app_cls_name]
connection = Connection(settings.GOODDATA_USERNAME, settings.GOODDATA_PASSWORD)
projects = {}
for dataset_class in gd_classes.itervalues():
if not dataset_class.project_name:
raise AttributeError('project_name not defined in %s' % dataset_class)
if dataset_class.project_name not in projects:
projects[dataset_class.project_name] = Project(connection).load(name=dataset_class.project_name)
dataset = dataset_class(projects[dataset_class.project_name])
dataset.upload()
from gooddataclient.connection import Connection
from gooddataclient.project import Project
from datasets.quotes import Quotes
connection = Connection('email', 'password')
proj_name = 'quotesFinal9242012'
print '\n\n\nLoading Project: ', proj_name
project = Project(connection).create(name=proj_name)
project = Project(connection).load(name=proj_name)
dataset = Quotes(project)
dataset.upload()
