def setUp(self):
self.connection = Connection(username, password, debug=0)
#drop all the test projects:
delete_projects_by_name(self.connection, TEST_PROJECT_NAME)
# you can delete here multiple directories from webdav
for dir_name in ():
self.connection.delete_webdav_dir(dir_name)
class TestProject(unittest.TestCase):
def setUp(self):
self.connection = Connection(username, password, debug=0)
#drop all the test projects:
delete_projects_by_name(self.connection, TEST_PROJECT_NAME)
# you can delete here multiple directories from webdav
for dir_name in ():
self.connection.delete_webdav_dir(dir_name)
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_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()
class TestProject(unittest.TestCase):
def setUp(self):
self.connection = Connection(username, password, debug=0)
#drop all the test projects:
delete_projects_by_name(self.connection, TEST_PROJECT_NAME)
# you can delete here multiple directories from webdav
for dir_name in ():
self.connection.delete_webdav_dir(dir_name)
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_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 test_login(self):
if username == '' or password == '':
raise AttributeError, 'Please provide your username and password to your GoodData account (into creadentials.py)'
self.assertRaises(AuthenticationError, Connection, '', '')
connection = Connection(username, password)
self.assertEquals('', connection.request('/gdc/account/token').read())
self.assert_(connection.webdav.request('/uploads'))
# you can delete here multiple directories from webdav
for dir_name in ():
connection.webdav.delete(dir_name)
def setUp(self):
self.connection = Connection(username, password, debug=0)
#drop all the test projects:
delete_projects_by_name(self.connection, TEST_PROJECT_NAME)
# you can delete here multiple directories from webdav
for dir_name in ():
self.connection.delete_webdav_dir(dir_name)
def test_upload(self):
example = examples.examples[0][0]
connection = Connection(username, password, debug=0)
dir_name = connection.webdav.upload(example.data_csv, example.sli_manifest)
self.assert_(len(dir_name) > 0)
self.assert_(connection.webdav.request('/uploads/%s' % dir_name))
uploaded_file = connection.webdav.request('/uploads/%s/upload.zip' % dir_name)
tmp_file = write_tmp_file(uploaded_file.read())
zip_file = ZipFile(tmp_file, "r")
self.assertEquals(None, zip_file.testzip())
self.assertEquals(zip_file.namelist(), ['data.csv', 'upload_info.json'])
zip_file.close()
os.remove(tmp_file)
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()
