本文整理汇总了Python中tq_config.TaskQueueConfig.get_broker_string方法的典型用法代码示例。如果您正苦于以下问题：Python TaskQueueConfig.get_broker_string方法的具体用法？Python TaskQueueConfig.get_broker_string怎么用？Python TaskQueueConfig.get_broker_string使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类tq_config.TaskQueueConfig的用法示例。
在下文中一共展示了TaskQueueConfig.get_broker_string方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: TaskQueueConfig
# 需要导入模块: from tq_config import TaskQueueConfig [as 别名]
# 或者: from tq_config.TaskQueueConfig import get_broker_string [as 别名]
import constants
from google.appengine.runtime import apiproxy_errors
from google.appengine.api import apiproxy_stub_map
from google.appengine.api import datastore_errors
from google.appengine.api import datastore_distributed
from google.appengine.api import datastore
from google.appengine.ext import db
sys.path.append(TaskQueueConfig.CELERY_CONFIG_DIR)
sys.path.append(TaskQueueConfig.CELERY_WORKER_DIR)
app_id = "APP_ID"
config = TaskQueueConfig(TaskQueueConfig.RABBITMQ, app_id)
module_name = TaskQueueConfig.get_celery_worker_module_name(app_id)
celery = Celery(module_name, broker=config.get_broker_string(), backend="amqp")
celery.config_from_object("CELERY_CONFIGURATION")
logger = get_task_logger(__name__)
master_db_ip = appscale_info.get_db_master_ip()
connection_str = master_db_ip + ":" + str(constants.DB_SERVER_PORT)
ds_distrib = datastore_distributed.DatastoreDistributed("appscaledashboard", connection_str, require_indexes=False)
apiproxy_stub_map.apiproxy.RegisterStub("datastore_v3", ds_distrib)
os.environ["APPLICATION_ID"] = "appscaledashboard"
# This template header and tasks can be found in appscale/AppTaskQueue/templates
示例2: TaskQueueConfig
# 需要导入模块: from tq_config import TaskQueueConfig [as 别名]
# 或者: from tq_config.TaskQueueConfig import get_broker_string [as 别名]
from google.appengine.runtime import apiproxy_errors
from google.appengine.api import apiproxy_stub_map
from google.appengine.api import datastore_errors
from google.appengine.api import datastore_distributed
from google.appengine.api import datastore
from google.appengine.ext import db
sys.path.append(TaskQueueConfig.CELERY_CONFIG_DIR)
sys.path.append(TaskQueueConfig.CELERY_WORKER_DIR)
app_id = 'APP_ID'
config = TaskQueueConfig(TaskQueueConfig.RABBITMQ, app_id)
module_name = TaskQueueConfig.get_celery_worker_module_name(app_id)
celery = Celery(module_name, broker=config.get_broker_string(),
backend='amqp://')
celery.config_from_object('CELERY_CONFIGURATION')
logger = get_task_logger(__name__)
master_db_ip = appscale_info.get_db_master_ip()
connection_str = master_db_ip + ":" + str(constants.DB_SERVER_PORT)
ds_distrib = datastore_distributed.DatastoreDistributed(
"appscaledashboard", connection_str, require_indexes=False)
apiproxy_stub_map.apiproxy.RegisterStub('datastore_v3', ds_distrib)
os.environ['APPLICATION_ID'] = "appscaledashboard"
# This template header and tasks can be found in appscale/AppTaskQueue/templates