本文整理汇总了Python中endpoints.method方法的典型用法代码示例。如果您正苦于以下问题:Python endpoints.method方法的具体用法?Python endpoints.method怎么用?Python endpoints.method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endpoints
的用法示例。
在下文中一共展示了endpoints.method方法的3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: list_greetings
# 需要导入模块: import endpoints [as 别名]
# 或者: from endpoints import method [as 别名]
def list_greetings(self, unused_request):
return STORED_GREETINGS
# ResourceContainers are used to encapsuate a request body and url
# parameters. This one is used to represent the Greeting ID for the
# greeting_get method.
示例2: __init__
# 需要导入模块: import endpoints [as 别名]
# 或者: from endpoints import method [as 别名]
def __init__(self, api_services, **kwargs):
"""Initialize an _ApiServer instance.
The primary function of this method is to set up the WSGIApplication
instance for the service handlers described by the services passed in.
Additionally, it registers each API in ApiConfigRegistry for later use
in the BackendService.getApiConfigs() (API config enumeration service).
Args:
api_services: List of protorpc.remote.Service classes implementing the API
or a list of _ApiDecorator instances that decorate the service classes
for an API.
**kwargs: Passed through to protorpc.wsgi.service.service_handlers except:
protocols - ProtoRPC protocols are not supported, and are disallowed.
Raises:
TypeError: if protocols are configured (this feature is not supported).
ApiConfigurationError: if there's a problem with the API config.
"""
self.base_paths = set()
for entry in api_services[:]:
# pylint: disable=protected-access
if isinstance(entry, api_config._ApiDecorator):
api_services.remove(entry)
api_services.extend(entry.get_api_classes())
# Record the API services for quick discovery doc generation
self.api_services = api_services
# Record the base paths
for entry in api_services:
self.base_paths.add(entry.api_info.base_path)
self.api_config_registry = api_backend_service.ApiConfigRegistry()
self.api_name_version_map = self.__create_name_version_map(api_services)
protorpc_services = self.__register_services(self.api_name_version_map,
self.api_config_registry)
# Disallow protocol configuration for now, Lily is json-only.
if 'protocols' in kwargs:
raise TypeError('__init__() got an unexpected keyword argument '
"'protocols'")
protocols = remote.Protocols()
protocols.add_protocol(self.__PROTOJSON, 'protojson')
remote.Protocols.set_default(protocols)
# This variable is not used in Endpoints 1.1, but let's pop it out here
# so it doesn't result in an unexpected keyword argument downstream.
kwargs.pop('restricted', None)
self.service_app = wsgi_service.service_mappings(protorpc_services,
**kwargs)
示例3: api_server
# 需要导入模块: import endpoints [as 别名]
# 或者: from endpoints import method [as 别名]
def api_server(api_services, **kwargs):
"""Create an api_server.
The primary function of this method is to set up the WSGIApplication
instance for the service handlers described by the services passed in.
Additionally, it registers each API in ApiConfigRegistry for later use
in the BackendService.getApiConfigs() (API config enumeration service).
It also configures service control.
Args:
api_services: List of protorpc.remote.Service classes implementing the API
or a list of _ApiDecorator instances that decorate the service classes
for an API.
**kwargs: Passed through to protorpc.wsgi.service.service_handlers except:
protocols - ProtoRPC protocols are not supported, and are disallowed.
Returns:
A new WSGIApplication that serves the API backend and config registry.
Raises:
TypeError: if protocols are configured (this feature is not supported).
"""
# Disallow protocol configuration for now, Lily is json-only.
if 'protocols' in kwargs:
raise TypeError("__init__() got an unexpected keyword argument 'protocols'")
# Construct the api serving app
apis_app = _ApiServer(api_services, **kwargs)
dispatcher = endpoints_dispatcher.EndpointsDispatcherMiddleware(apis_app)
# Determine the service name
service_name = os.environ.get('ENDPOINTS_SERVICE_NAME')
if not service_name:
_logger.warn('Did not specify the ENDPOINTS_SERVICE_NAME environment'
' variable so service control is disabled. Please specify'
' the name of service in ENDPOINTS_SERVICE_NAME to enable'
' it.')
return dispatcher
# If we're using a local server, just return the dispatcher now to bypass
# control client.
if control_wsgi.running_on_devserver():
_logger.warn('Running on local devserver, so service control is disabled.')
return dispatcher
# The DEFAULT 'config' should be tuned so that it's always OK for python
# App Engine workloads. The config can be adjusted, but that's probably
# unnecessary on App Engine.
controller = control_client.Loaders.DEFAULT.load(service_name)
# Start the GAE background thread that powers the control client's cache.
control_client.use_gae_thread()
controller.start()
return control_wsgi.add_all(
dispatcher,
app_identity.get_application_id(),
controller)