def copy_to_storage_server(live_folder, live_repo, update_version=True):
# live_folder, live_repo = get_live_repository()
try:
if Config.get_environment().lower() == 'prod':
tag = get_last_tag_on_current_commit(live_repo, TRAX_ACE_LIVE)
if not tag:
raise Exception('LiveTagNotExistsOnCurrentCommit')
if update_version:
ProjectDeployment.update_version_file(live_folder, tag)
tar_file_stream = ProjectDeployment.make_tarfile(live_folder)
for cloud in CLOUDS:
print 'bucket name', STORAGE_BUCKET, 'cloud to store', cloud
storage_connector = StorageFactory.get_connector(
mybucket=STORAGE_BUCKET, region='us-east-1', cloud=cloud)
env = Config.get_environment().lower()
# deploy the project only in one env
storage_folder_name = ProjectDeployment.get_trax_ace_live_folder(
env)
print "Uploading file to Remote folder-> {}".format(
storage_folder_name)
DeploymentUtils.save_file_stream(storage_connector,
storage_folder_name,
TAR_FILE_NAME,
tar_file_stream)
except Exception as e:
print e
raise
finally:
shutil.rmtree(live_folder)
def upload_report_to_s3(self):
folder_in_s3_bucket = BUCKET_FOLDER
report_path = os.path.join(tempfile.gettempdir(), self.report_name)
storage_connector = StorageFactory.get_connector(BUCKET)
storage_connector.save_file_stream(folder_in_s3_bucket,
self.report_name,
open(report_path, 'r'))
domain = storage_connector.base_domain[1:]
file_link = "https://" + domain + "/" + BUCKET + "/" + folder_in_s3_bucket + "/" + self.report_name
return file_link
def __init__(self, data_provider, output, **data):
self.k_engine = BaseCalculationsGroup(data_provider, output)
self.data_provider = data_provider
self.project_name = self.data_provider.project_name
self.session_uid = self.data_provider.session_uid
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.all_products = self.data_provider[Data.ALL_PRODUCTS]
self.survey_response = self.data_provider[Data.SURVEY_RESPONSES]
self.kpi_static_data = data.get('kpi_static_data')
self.match_display_in_scene = data.get('match_display_in_scene')
self.general_tools = CCBOTTLERSUS_SANDBCIGENERALToolBox(data_provider, output, self.kpi_static_data, geometric_kpi_flag=True)
self.amz_conn = StorageFactory.get_connector(BUCKET)
self.templates_path = self.TEMPLATES_PATH + self.project_name + '/'
self.cloud_templates_path = '{}{}/{}'.format(self.TEMPLATES_PATH, self.project_name, {})
self.local_templates_path = os.path.join(CACHE_PATH, 'templates')
def __init__(self, data_provider, output, **kwargs):
self.k_engine = BaseCalculationsGroup(data_provider, output)
self.data_provider = data_provider
self.project_name = self.data_provider.project_name
self.session_uid = self.data_provider.session_uid
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.all_products = self.data_provider[Data.ALL_PRODUCTS]
self.survey_response = self.data_provider[Data.SURVEY_RESPONSES]
self.amz_conn = StorageFactory.get_connector(BUCKET)
self.templates_path = self.TEMPLATES_PATH + self.project_name + '/'
self.local_templates_path = os.path.join(CACHE_PATH, 'templates')
self.cloud_templates_path = '{}{}/{}'.format(self.TEMPLATES_PATH, self.project_name, {})
for data in kwargs.keys():
setattr(self, data, kwargs[data])
def amz_conn(self):
if not hasattr(self, '_amz_conn'):
self._amz_conn = StorageFactory.get_connector(BUCKET)
return self._amz_conn