本文整理汇总了Python中lib.membase.api.rest_client.RestConnection.deploy_function方法的典型用法代码示例。如果您正苦于以下问题：Python RestConnection.deploy_function方法的具体用法？Python RestConnection.deploy_function怎么用？Python RestConnection.deploy_function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lib.membase.api.rest_client.RestConnection的用法示例。
在下文中一共展示了RestConnection.deploy_function方法的1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: EventingBaseTest
# 需要导入模块: from lib.membase.api.rest_client import RestConnection [as 别名]
# 或者: from lib.membase.api.rest_client.RestConnection import deploy_function [as 别名]
#.........这里部分代码省略.........
log.info("Stats for Node {0} is \n{1} ".format(eventing_node.ip, json.dumps(out, sort_keys=True,
indent=4)))
log.debug("Full Stats for Node {0} is \n{1} ".format(eventing_node.ip, json.dumps(full_out,
sort_keys=True,
indent=4)))
raise Exception(
"Bucket operations from handler code took lot of time to complete or didn't go through. Current : {0} "
"Expected : {1} dcp_backlog : {2} TIMERS_IN_PAST : {3}".format(stats_dst["curr_items"],
expected_dcp_mutations,
total_dcp_backlog,
timers_in_past))
# TODO : Use the following stats in a meaningful way going forward. Just printing them for debugging.
# print all stats from all eventing nodes
# These are the stats that will be used by ns_server and UI
for eventing_node in eventing_nodes:
rest_conn = RestConnection(eventing_node)
out = rest_conn.get_all_eventing_stats()
full_out = rest_conn.get_all_eventing_stats(seqs_processed=True)
log.info("Stats for Node {0} is \n{1} ".format(eventing_node.ip, json.dumps(out, sort_keys=True,
indent=4)))
log.debug("Full Stats for Node {0} is \n{1} ".format(eventing_node.ip, json.dumps(full_out, sort_keys=True,
indent=4)))
def eventing_stats(self):
self.sleep(30)
content=self.rest.get_all_eventing_stats()
js=json.loads(content)
log.info("execution stats: {0}".format(js))
# for j in js:
# print j["function_name"]
# print j["execution_stats"]["on_update_success"]
# print j["failure_stats"]["n1ql_op_exception_count"]
def deploy_function(self, body, deployment_fail=False, wait_for_bootstrap=True):
body['settings']['deployment_status'] = True
body['settings']['processing_status'] = True
# save the function so that it appears in UI
content = self.rest.save_function(body['appname'], body)
# deploy the function
log.info("Deploying the following handler code")
log.info("\n{0}".format(body['appcode']))
content1 = self.rest.deploy_function(body['appname'], body)
log.info("deploy Application : {0}".format(content1))
if deployment_fail:
res = json.loads(content1)
if not res["compile_success"]:
return
else:
raise Exception("Deployment is expected to be failed but no message of failure")
if wait_for_bootstrap:
# wait for the function to come out of bootstrap state
self.wait_for_bootstrap_to_complete(body['appname'])
def undeploy_and_delete_function(self, body):
self.undeploy_function(body)
self.delete_function(body)
def undeploy_function(self, body):
body['settings']['deployment_status'] = False
body['settings']['processing_status'] = False
# save the function so that it disappears from UI
content = self.rest.save_function(body['appname'], body)
# undeploy the function
content1 = self.rest.set_settings_for_function(body['appname'], body['settings'])
log.info("Undeploy Application : {0}".format(content1))
return content, content1