def create_application():
ereporter2.register_formatter()
# Zap out the ndb in-process cache by default.
# This cache causes excessive memory usage in in handler where a lot of
# entities are fetched in one query. When coupled with high concurrency
# as specified via max_concurrent_requests in app.yaml, this may cause out of
# memory errors.
ndb.Context.default_cache_policy = staticmethod(lambda _key: False)
ndb.Context._cache_policy = staticmethod(lambda _key: False)
# If running on a local dev server, allow bots to connect without prior
# groups configuration. Useful when running smoke test.
if utils.is_local_dev_server():
acl.bootstrap_dev_server_acls()
pools_config.bootstrap_dev_server_acls()
def is_enabled_callback():
return config.settings().enable_ts_monitoring
backend_app = handlers_backend.create_application(False)
gae_ts_mon.initialize(backend_app, is_enabled_fn=is_enabled_callback)
# Local import, because it instantiates the mapreduce app.
# This is for the task queue handlers.
from mapreduce import main
gae_ts_mon.initialize(main.APP, is_enabled_fn=is_enabled_callback)
event_mon_metrics.initialize()
ts_mon_metrics.initialize()
utils.report_memory(backend_app)
return backend_app, main.APP
def create_application():
ereporter2.register_formatter()
# Task queues must be sent to the backend.
utils.set_task_queue_module('backend')
template.bootstrap()
# Zap out the ndb in-process cache by default.
# This cache causes excessive memory usage in in handler where a lot of
# entities are fetched in one query. When coupled with high concurrency
# as specified via max_concurrent_requests in app.yaml, this may cause out of
# memory errors.
ndb.Context.default_cache_policy = staticmethod(lambda _key: False)
ndb.Context._cache_policy = staticmethod(lambda _key: False)
# If running on a local dev server, allow bots to connect without prior
# groups configuration. Useful when running smoke test.
if utils.is_local_dev_server():
acl.bootstrap_dev_server_acls()
pools_config.bootstrap_dev_server_acls()
def is_enabled_callback():
return config.settings().enable_ts_monitoring
# App that serves HTML pages and old API.
frontend_app = handlers_frontend.create_application(False)
gae_ts_mon.initialize(frontend_app, is_enabled_fn=is_enabled_callback)
endpoints_api = endpoints_webapp2.api_server([
handlers_endpoints.SwarmingServerService,
handlers_endpoints.SwarmingTaskService,
handlers_endpoints.SwarmingTasksService,
handlers_endpoints.SwarmingQueuesService,
handlers_endpoints.SwarmingBotService,
handlers_endpoints.SwarmingBotsService,
# components.config endpoints for validation and configuring of luci-config
# service URL.
config.ConfigApi,
])
prpc_api = webapp2.WSGIApplication(handlers_prpc.get_routes())
# Local import, because it instantiates the mapreduce app.
# This is for the Web UI.
from mapreduce import main
gae_ts_mon.initialize(main.APP, is_enabled_fn=is_enabled_callback)
event_mon_metrics.initialize()
ts_mon_metrics.initialize()
utils.report_memory(frontend_app)
utils.report_memory(endpoints_api)
utils.report_memory(prpc_api)
return frontend_app, endpoints_api, prpc_api, main.APP
def create_application():
ereporter2.register_formatter()
utils.set_task_queue_module('backend')
template.bootstrap()
# If running on a local dev server, allow bots to connect without prior
# groups configuration. Useful when running smoke test.
if utils.is_local_dev_server():
acl.bootstrap_dev_server_acls()
def is_enabled_callback():
return config.settings().enable_ts_monitoring
# App that serves HTML pages and old API.
frontend_app = handlers_frontend.create_application(False)
gae_ts_mon.initialize(frontend_app, is_enabled_fn=is_enabled_callback)
# App that contains crons and task queues.
backend_app = handlers_backend.create_application(False)
gae_ts_mon.initialize(backend_app, is_enabled_fn=is_enabled_callback)
# Local import, because it instantiates the mapreduce app.
from mapreduce import main
gae_ts_mon.initialize(main.APP, is_enabled_fn=is_enabled_callback)
# TODO(maruel): Remove this once there is no known client anymore.
api = webapp2.WSGIApplication(
endpoints_webapp2.api_server(
[
handlers_endpoints.SwarmingServerService,
handlers_endpoints.SwarmingTaskService,
handlers_endpoints.SwarmingTasksService,
handlers_endpoints.SwarmingQueuesService,
handlers_endpoints.SwarmingBotService,
handlers_endpoints.SwarmingBotsService,
# components.config endpoints for validation and configuring of luci-config
# service URL.
config.ConfigApi,
],
base_path='/_ah/api'))
event_mon_metrics.initialize()
ts_mon_metrics.initialize()
return frontend_app, api, backend_app, main.APP
def create_application():
ereporter2.register_formatter()
def is_enabled_callback():
return config.settings().enable_ts_monitoring
# App that serves HTML pages and old API.
frontend_app = handlers_frontend.create_application(False)
gae_ts_mon.initialize(frontend_app, is_enabled_fn=is_enabled_callback)
# Local import, because it instantiates the mapreduce app.
from mapreduce import main
gae_ts_mon.initialize(main.APP, is_enabled_fn=is_enabled_callback)
api = endpoints.api_server([
handlers_endpoints.swarming_api,
# components.config endpoints for validation and configuring of luci-config
# service URL.
config.ConfigApi,
])
ts_mon_metrics.initialize()
return frontend_app, api, main.APP
def create_application():
ereporter2.register_formatter()
def is_enabled_callback():
return config.settings().enable_ts_monitoring
# App that serves HTML pages and old API.
frontend_app = handlers_frontend.create_application(False)
gae_ts_mon.initialize(frontend_app, is_enabled_fn=is_enabled_callback)
# Local import, because it instantiates the mapreduce app.
from mapreduce import main
gae_ts_mon.initialize(main.APP, is_enabled_fn=is_enabled_callback)
api = endpoints.api_server([
handlers_endpoints.swarming_api,
# components.config endpoints for validation and configuring of luci-config
# service URL.
config.ConfigApi,
])
ts_mon_metrics.initialize()
return frontend_app, api, main.APP
def test_initialize(self):
# Smoke test for syntax errors.
ts_mon_metrics.initialize()
def test_initialize(self): # Smoke test for syntax errors. ts_mon_metrics.initialize()
