class EventingBaseTest(BaseTestCase):
def setUp(self):
super(EventingBaseTest, self).setUp()
self.bucket_helper = BucketHelper(self.cluster.master)
self.input = TestInputSingleton.input
self.services_init = self.input.param("services_init", None)
self.services = self.cluster_util.get_services(self.cluster.servers,
self.services_init)
# rebalance all nodes into the cluster before each test
if self.num_servers > 1:
self.services = self.cluster_util.get_services(
self.cluster.servers[:self.nodes_init], self.services_init)
""" if there is not node service in ini file, kv needs to be added in
to avoid exception when add node """
if self.services is not None and int(self.nodes_init) - len(
self.services) > 0:
for i in range(0, int(self.nodes_init) - len(self.services)):
self.services.append("kv")
self.task.rebalance(self.servers[:1],
self.servers[1:self.nodes_init], [],
services=self.services)
self.input.test_params.update({"default_bucket": False})
self.master = self.servers[0]
self.server = self.master
self.restServer = self.cluster_util.get_nodes_from_services_map(
cluster=self.cluster, service_type=CbServer.Services.EVENTING)
self.rest = RestConnection(self.restServer)
self.eventing_helper = EventingHelper(self.restServer)
self.rest.set_indexer_storage_mode()
self.log.info(
"Setting the min possible memory quota so that adding mode nodes to the cluster wouldn't be a problem."
)
self.rest.set_service_mem_quota({
CbServer.Settings.KV_MEM_QUOTA:
330,
CbServer.Settings.INDEX_MEM_QUOTA:
CbServer.Settings.MinRAMQuota.INDEX,
CbServer.Settings.EVENTING_MEM_QUOTA:
CbServer.Settings.MinRAMQuota.EVENTING
})
self.src_bucket_name = self.input.param('src_bucket_name',
'src_bucket')
self.eventing_log_level = self.input.param('eventing_log_level',
'INFO')
self.dst_bucket_name = self.input.param('dst_bucket_name',
'dst_bucket')
self.dst_bucket_name1 = self.input.param('dst_bucket_name1',
'dst_bucket1')
self.metadata_bucket_name = self.input.param('metadata_bucket_name',
'metadata')
self.create_functions_buckets = self.input.param(
'create_functions_buckets', True)
self.docs_per_day = self.input.param("doc-per-day", 1)
self.use_memory_manager = self.input.param('use_memory_manager', True)
self.print_eventing_handler_code_in_logs = self.input.param(
'print_eventing_handler_code_in_logs', True)
random.seed(datetime.time)
function_name = "Function_{0}_{1}".format(
random.randint(1, 1000000000), self._testMethodName)
self.function_name = function_name[0:90]
self.timer_storage_chan_size = self.input.param(
'timer_storage_chan_size', 10000)
self.dcp_gen_chan_size = self.input.param('dcp_gen_chan_size', 10000)
self.is_sbm = self.input.param('source_bucket_mutation', False)
self.pause_resume = self.input.param('pause_resume', False)
self.pause_resume_number = self.input.param('pause_resume_number', 1)
self.is_curl = self.input.param('curl', False)
self.hostname = self.input.param('host', 'https://postman-echo.com/')
self.curl_username = self.input.param('curl_user', None)
self.curl_password = self.input.param('curl_password', None)
self.auth_type = self.input.param('auth_type', 'no-auth')
self.bearer_key = self.input.param('bearer_key', None)
self.url = self.input.param('path', None)
self.cookies = self.input.param('cookies', False)
self.bearer_key = self.input.param('bearer_key', '')
# # Define Helper Method which will be used for running n1ql queries, create index, drop index
# self.version = self.input.param("cbq_version", "git_repo")
# if self.input.tuq_client and "client" in self.input.tuq_client:
# self.shell = RemoteMachineShellConnection(self.input.tuq_client["client"])
# else:
# self.shell = RemoteMachineShellConnection(self.cluster.master)
# self.use_rest = self.input.param("use_rest", True)
# self.max_verify = self.input.param("max_verify", None)
# self.n1ql_port = self.input.param("n1ql_port", 8093)
# self.full_docs_list = self.generate_full_docs_list(self.gens_load)
# self.n1ql_helper = N1QLHelper(
# version=self.version, shell=self.shell,
# use_rest=self.use_rest, max_verify=self.max_verify,
# buckets=self.cluster.buckets, item_flag=self.item_flag,
# n1ql_port=self.n1ql_port, full_docs_list=self.full_docs_list,
# log=self.log, input=self.input, master=self.cluster.master)
self.n1ql_node = self.cluster_util.get_nodes_from_services_map(
cluster=self.cluster, service_type=CbServer.Services.EVENTING)
if self.hostname == 'local':
self.insall_dependencies()
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.connect(("8.8.8.8", 80))
ip = s.getsockname()[0]
s.close()
self.hostname = "http://" + ip + ":1080/"
self.log.info("local ip address:{}".format(self.hostname))
self.setup_curl()
def tearDown(self):
for bucket in self.buckets:
stats = self.bucket_helper.get_bucket_stats(bucket.name)
self.log.info("Bucket {} DGM is {}".format(
bucket, stats["vb_active_resident_items_ratio"]))
self.hostname = self.input.param('host', 'https://postman-echo.com/')
if self.hostname == 'local':
self.teardown_curl()
super(EventingBaseTest, self).tearDown()
def create_save_function_body(
self,
appname,
appcode,
description="Sample Description",
checkpoint_interval=20000,
cleanup_timers=False,
dcp_stream_boundary="everything",
deployment_status=True,
# rbacpass="******", rbacrole="admin", rbacuser="******",
skip_timer_threshold=86400,
sock_batch_size=1,
tick_duration=5000,
timer_processing_tick_interval=500,
timer_worker_pool_size=3,
worker_count=3,
processing_status=True,
cpp_worker_thread_count=1,
multi_dst_bucket=False,
execution_timeout=20,
data_chan_size=10000,
worker_queue_cap=100000,
deadline_timeout=62):
body = {}
body['appname'] = appname
script_dir = os.path.dirname(__file__)
abs_file_path = os.path.join(script_dir, appcode)
fh = open(abs_file_path, "r")
body['appcode'] = fh.read()
fh.close()
body['depcfg'] = {}
body['depcfg']['buckets'] = []
body['depcfg']['buckets'].append({
"alias": self.dst_bucket_name,
"bucket_name": self.dst_bucket_name,
"access": "rw"
})
if multi_dst_bucket:
body['depcfg']['buckets'].append({
"alias":
self.dst_bucket_name1,
"bucket_name":
self.dst_bucket_name1
})
body['depcfg']['metadata_bucket'] = self.metadata_bucket_name
body['depcfg']['source_bucket'] = self.src_bucket_name
body['settings'] = {}
body['settings']['checkpoint_interval'] = checkpoint_interval
body['settings']['cleanup_timers'] = cleanup_timers
body['settings']['dcp_stream_boundary'] = dcp_stream_boundary
body['settings']['deployment_status'] = deployment_status
body['settings']['description'] = description
body['settings']['log_level'] = self.eventing_log_level
# See MB-26756, reason for commenting out these lines
# body['settings']['rbacpass'] = rbacpass
# body['settings']['rbacrole'] = rbacrole
# body['settings']['rbacuser'] = rbacuser
body['settings']['skip_timer_threshold'] = skip_timer_threshold
body['settings']['sock_batch_size'] = sock_batch_size
body['settings']['tick_duration'] = tick_duration
body['settings'][
'timer_processing_tick_interval'] = timer_processing_tick_interval
body['settings']['timer_worker_pool_size'] = timer_worker_pool_size
body['settings']['worker_count'] = worker_count
body['settings']['processing_status'] = processing_status
body['settings']['cpp_worker_thread_count'] = cpp_worker_thread_count
body['settings']['execution_timeout'] = execution_timeout
body['settings']['data_chan_size'] = data_chan_size
body['settings']['worker_queue_cap'] = worker_queue_cap
# See MB-27967, the reason for adding this config
body['settings']['use_memory_manager'] = self.use_memory_manager
# since deadline_timeout has to always greater than execution_timeout
if execution_timeout != 3:
deadline_timeout = execution_timeout + 1
body['settings']['deadline_timeout'] = deadline_timeout
body['settings'][
'timer_storage_chan_size'] = self.timer_storage_chan_size
body['settings']['dcp_gen_chan_size'] = self.dcp_gen_chan_size
if self.is_sbm:
del body['depcfg']['buckets'][0]
body['depcfg']['buckets'].append({
"alias": self.src_bucket_name,
"bucket_name": self.src_bucket_name,
"access": "rw"
})
body['depcfg']['curl'] = []
if self.is_curl:
body['depcfg']['curl'].append({
"hostname": self.hostname,
"value": "server",
"auth_type": self.auth_type,
"username": self.curl_username,
"password": self.curl_password,
"allow_cookies": self.cookies
})
if self.auth_type == "bearer":
body['depcfg']['curl'][0]['bearer_key'] = self.bearer_key
body['settings']['language_compatibility'] = self.cb_version[:5]
return body
def wait_for_bootstrap_to_complete(self, name, iterations=20):
result = self.eventing_helper.get_deployed_eventing_apps()
count = 0
while name not in result and count < iterations:
self.sleep(
30,
message=
"Waiting for eventing node to come out of bootstrap state...")
count += 1
result = self.eventing_helper.get_deployed_eventing_apps()
if count == iterations:
raise Exception(
'Eventing took lot of time to come out of bootstrap state or did not successfully bootstrap'
)
def wait_for_undeployment(self, name, iterations=20):
self.sleep(30, message="Waiting for undeployment of function...")
result = self.eventing_helper.get_running_eventing_apps()
count = 0
while name in result and count < iterations:
self.sleep(30, message="Waiting for undeployment of function...")
count += 1
result = self.eventing_helper.get_running_eventing_apps()
if count == iterations:
raise Exception('Eventing took lot of time to undeploy')
def verify_eventing_results(self,
name,
expected_dcp_mutations,
doc_timer_events=False,
on_delete=False,
skip_stats_validation=False,
bucket=None,
timeout=600):
# This resets the rest server as the previously used rest server might be out of cluster due to rebalance
num_nodes = self.refresh_rest_server()
eventing_nodes = self.cluster_util.get_nodes_from_services_map(
cluster=self.cluster,
service_type=CbServer.Services.EVENTING,
get_all_nodes=True)
if bucket is None:
bucket = self.dst_bucket_name
if self.is_sbm:
bucket = self.src_bucket_name
if not skip_stats_validation:
# we can't rely on dcp_mutation stats when doc timers events are set.
# TODO : add this back when getEventProcessingStats works reliably for doc timer events as well
if not doc_timer_events:
count = 0
if num_nodes <= 1:
stats = self.eventing_helper.get_event_processing_stats(
name)
else:
stats = self.eventing_helper.get_aggregate_event_processing_stats(
name)
if on_delete:
mutation_type = "dcp_deletion"
else:
mutation_type = "dcp_mutation"
actual_dcp_mutations = stats[mutation_type]
# This is required when binary data is involved where dcp_mutation will have process DCP_MUTATIONS
# but ignore it
# wait for eventing node to process dcp mutations
self.log.info("Number of {0} processed till now : {1}".format(
mutation_type, actual_dcp_mutations))
while actual_dcp_mutations != expected_dcp_mutations and count < 20:
self.sleep(
timeout / 20,
message=
"Waiting for eventing to process all dcp mutations...")
count += 1
if num_nodes <= 1:
stats = self.eventing_helper.get_event_processing_stats(
name)
else:
stats = self.eventing_helper.get_aggregate_event_processing_stats(
name)
actual_dcp_mutations = stats[mutation_type]
self.log.info(
"Number of {0} processed till now : {1}".format(
mutation_type, actual_dcp_mutations))
if count == 20:
raise Exception(
"Eventing has not processed all the {0}. Current : {1} Expected : {2}"
.format(mutation_type, actual_dcp_mutations,
expected_dcp_mutations))
# wait for bucket operations to complete and verify it went through successfully
count = 0
stats_dst = self.bucket_helper.get_bucket_stats(bucket)
while stats_dst["curr_items"] != expected_dcp_mutations and count < 20:
message = "Waiting for handler code {2} to complete bucket operations... Current : {0} Expected : {1}".\
format(stats_dst["curr_items"], expected_dcp_mutations,name)
self.sleep(timeout / 20, message=message)
curr_items = stats_dst["curr_items"]
stats_dst = self.bucket_helper.get_bucket_stats(bucket)
if curr_items == stats_dst["curr_items"]:
count += 1
else:
count = 0
try:
stats_src = self.bucket_helper.get_bucket_stats(
self.src_bucket_name)
self.log.info("Documents in source bucket : {}".format(
stats_src["curr_items"]))
except:
pass
if stats_dst["curr_items"] != expected_dcp_mutations:
total_dcp_backlog = 0
timers_in_past = 0
lcb = {}
# TODO : Use the following stats in a meaningful way going forward. Just printing them for debugging.
for eventing_node in eventing_nodes:
rest_conn = EventingHelper(eventing_node)
out = rest_conn.get_all_eventing_stats()
total_dcp_backlog += out[0]["events_remaining"]["dcp_backlog"]
if "TIMERS_IN_PAST" in out[0]["event_processing_stats"]:
timers_in_past += out[0]["event_processing_stats"][
"TIMERS_IN_PAST"]
total_lcb_exceptions = out[0]["lcb_exception_stats"]
host = eventing_node.ip
lcb[host] = total_lcb_exceptions
full_out = rest_conn.get_all_eventing_stats(
seqs_processed=True)
self.log.debug("Stats for Node {0} is \n{1} ".format(
eventing_node.ip, json.dumps(out, sort_keys=True,
indent=4)))
self.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} lcb_exceptions : {4}"
.format(stats_dst["curr_items"], expected_dcp_mutations,
total_dcp_backlog, timers_in_past, lcb))
self.log.info(
"Final docs count... Current : {0} Expected : {1}".format(
stats_dst["curr_items"], expected_dcp_mutations))
# 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 = EventingHelper(eventing_node)
out = rest_conn.get_all_eventing_stats()
full_out = rest_conn.get_all_eventing_stats(seqs_processed=True)
self.log.debug("Stats for Node {0} is \n{1} ".format(
eventing_node.ip, json.dumps(out, sort_keys=True, indent=4)))
self.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.eventing_helper.get_all_eventing_stats()
js = json.loads(content)
self.log.debug("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,
pause_resume=False,
pause_resume_number=1):
body['settings']['deployment_status'] = True
body['settings']['processing_status'] = True
if self.print_eventing_handler_code_in_logs:
self.log.info(
"Deploying the following handler code : {0} with {1}".format(
body['appname'], body['depcfg']))
self.log.info("\n{0}".format(body['appcode']))
content1 = self.eventing_helper.create_function(body['appname'], body)
self.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_handler_state(body['appname'], "deployed")
if pause_resume and pause_resume_number > 0:
self.pause_resume_n(body, pause_resume_number)
def undeploy_and_delete_function(self, body):
self.undeploy_function(body)
self.sleep(5)
self.delete_function(body)
def undeploy_function(self, body):
self.refresh_rest_server()
content = self.eventing_helper.undeploy_function(body['appname'])
self.log.info("Undeploy Application : {0}".format(body['appname']))
self.wait_for_handler_state(body['appname'], "undeployed")
return content
def delete_function(self, body):
content1 = self.eventing_helper.delete_single_function(body['appname'])
self.log.info("Delete Application : {0}".format(body['appname']))
return content1
def pause_function(self, body, wait_for_pause=True):
body['settings']['deployment_status'] = True
body['settings']['processing_status'] = False
self.refresh_rest_server()
content1 = self.eventing_helper.set_settings_for_function(
body['appname'], body['settings'])
self.log.info("Pause Application : {0}".format(body['appname']))
if wait_for_pause:
self.wait_for_handler_state(body['appname'], "paused")
def resume_function(self, body, wait_for_resume=True):
body['settings']['deployment_status'] = True
body['settings']['processing_status'] = True
if "dcp_stream_boundary" in body['settings']:
body['settings'].pop('dcp_stream_boundary')
self.log.info(
"Settings after deleting dcp_stream_boundary : {0}".format(
body['settings']))
self.refresh_rest_server()
content1 = self.eventing_helper.set_settings_for_function(
body['appname'], body['settings'])
self.log.info("Resume Application : {0}".format(body['appname']))
if wait_for_resume:
self.wait_for_handler_state(body['appname'], "deployed")
def refresh_rest_server(self):
eventing_nodes_list = self.cluster_util.get_nodes_from_services_map(
cluster=self.cluster,
service_type=CbServer.Services.EVENTING,
get_all_nodes=True)
self.restServer = eventing_nodes_list[0]
self.rest = RestConnection(self.restServer)
return len(eventing_nodes_list)
def check_if_eventing_consumers_are_cleaned_up(self):
eventing_nodes = self.cluster_util.get_nodes_from_services_map(
cluster=self.cluster,
service_type=CbServer.Services.EVENTING,
get_all_nodes=True)
array_of_counts = []
command = "ps -ef | grep eventing-consumer | grep -v grep | wc -l"
for eventing_node in eventing_nodes:
shell = RemoteMachineShellConnection(eventing_node)
count, error = shell.execute_non_sudo_command(command)
if isinstance(count, list):
count = int(count[0])
else:
count = int(count)
self.log.info(
"Node : {0} , eventing_consumer processes running : {1}".
format(eventing_node.ip, count))
array_of_counts.append(count)
count_of_all_eventing_consumers = sum(array_of_counts)
if count_of_all_eventing_consumers != 0:
return False
return True
"""
Checks if a string 'panic' is present in eventing.log on server and returns the number of occurrences
"""
def check_eventing_logs_for_panic(self):
# self.generate_map_nodes_out_dist()
panic_str = "panic"
eventing_nodes = self.cluster_util.get_nodes_from_services_map(
cluster=self.cluster,
service_type=CbServer.Services.EVENTING,
get_all_nodes=True)
if not eventing_nodes:
return None
for eventing_node in eventing_nodes:
shell = RemoteMachineShellConnection(eventing_node)
_, dir_name = RestConnection(eventing_node).diag_eval(
'filename:absname(element(2, application:get_env(ns_server,error_logger_mf_dir))).'
)
eventing_log = str(dir_name) + '/eventing.log*'
count, err = shell.execute_command(
"zgrep \"{0}\" {1} | wc -l".format(panic_str, eventing_log))
if isinstance(count, list):
count = int(count[0])
else:
count = int(count)
if count > self.panic_count:
self.log.info(
"===== PANIC OBSERVED IN EVENTING LOGS ON SERVER {0}=====".
format(eventing_node.ip))
panic_trace, _ = shell.execute_command(
"zgrep \"{0}\" {1}".format(panic_str, eventing_log))
self.log.info("\n {0}".format(panic_trace))
self.panic_count = count
os_info = shell.extract_remote_info()
if os_info.type.lower() == "windows":
# This is a fixed path in all windows systems inside couchbase
dir_name_crash = 'c://CrashDumps'
else:
dir_name_crash = str(dir_name) + '/../crash/'
core_dump_count, err = shell.execute_command(
"ls {0}| wc -l".format(dir_name_crash))
if isinstance(core_dump_count, list):
core_dump_count = int(core_dump_count[0])
else:
core_dump_count = int(core_dump_count)
if core_dump_count > 0:
self.log.info(
"===== CORE DUMPS SEEN ON EVENTING NODES, SERVER {0} : {1} crashes seen ====="
.format(eventing_node.ip, core_dump_count))
shell.disconnect()
def print_execution_and_failure_stats(self, name):
out_event_execution = self.eventing_helper.get_event_execution_stats(
name)
self.log.debug(
"Event execution stats : {0}".format(out_event_execution))
out_event_failure = self.eventing_helper.get_event_failure_stats(name)
self.log.debug("Event failure stats : {0}".format(out_event_failure))
# """
# Push the bucket into DGM and return the number of items it took to push the bucket to DGM
# """
# def push_to_dgm(self, bucket, dgm_percent):
# doc_size = 1024
# curr_active = self.bucket_stat('vb_active_perc_mem_resident', bucket)
# total_items = self.bucket_stat('curr_items', bucket)
# batch_items = 20000
# # go into dgm
# while curr_active > dgm_percent:
# curr_items = self.bucket_stat('curr_items', bucket)
# gen_create = BlobGenerator('dgmkv', 'dgmkv-', doc_size, start=curr_items + 1, end=curr_items + 20000)
# total_items += batch_items
# try:
# self.cluster.load_gen_docs(self.master, bucket, gen_create, self.buckets[0].kvs[1],
# 'create', exp=0, flag=0, batch_size=1000, compression=self.sdk_compression)
# except:
# pass
# curr_active = self.bucket_stat('vb_active_perc_mem_resident', bucket)
# log.info("bucket {0} in DGM, resident_ratio : {1}%".format(bucket, curr_active))
# total_items = self.bucket_stat('curr_items', bucket)
# return total_items
# def bucket_stat(self, key, bucket):
# stats = StatsCommon.get_stats([self.master], bucket, "", key)
# val = stats.values()[0]
# if val.isdigit():
# val = int(val)
# return val
def bucket_compaction(self):
for bucket in self.buckets:
log.info("Compacting bucket : {0}".format(bucket.name))
self.bucket_helper.compact_bucket(bucket=bucket.name)
def kill_consumer(self, server):
remote_client = RemoteMachineShellConnection(server)
remote_client.kill_eventing_process(name="eventing-consumer")
remote_client.disconnect()
def kill_producer(self, server):
remote_client = RemoteMachineShellConnection(server)
remote_client.kill_eventing_process(name="eventing-producer")
remote_client.disconnect()
def kill_memcached_service(self, server):
remote_client = RemoteMachineShellConnection(server)
remote_client.kill_memcached()
remote_client.disconnect()
def kill_erlang_service(self, server):
remote_client = RemoteMachineShellConnection(server)
os_info = remote_client.extract_remote_info()
self.log.info("os_info : {0}".format(os_info))
if os_info.type.lower() == "windows":
remote_client.kill_erlang(os="windows")
else:
remote_client.kill_erlang()
remote_client.start_couchbase()
remote_client.disconnect()
# wait for restart and warmup on all node
self.sleep(self.wait_timeout * 2)
# wait till node is ready after warmup
self.cluster_util.wait_for_ns_servers_or_assert([server], self)
def reboot_server(self, server):
remote_client = RemoteMachineShellConnection(server)
remote_client.reboot_node()
remote_client.disconnect()
# wait for restart and warmup on all node
self.sleep(self.wait_timeout * 2)
# disable firewall on these nodes
self.cluster_util.stop_firewall_on_node(self.cluster, server)
# wait till node is ready after warmup
self.cluster_util.wait_for_ns_servers_or_assert([server], self)
def undeploy_delete_all_functions(self):
content = self.eventing_helper.get_deployed_eventing_apps()
res = content.keys()
self.log.info("all keys {}".format(res))
for a in res:
self.eventing_helper.undeploy_function(a)
for a in res:
self.wait_for_handler_state(a, "undeployed")
self.eventing_helper.delete_all_function()
def change_time_zone(self, server, timezone="UTC"):
remote_client = RemoteMachineShellConnection(server)
remote_client.execute_command("timedatectl set-timezone " + timezone)
remote_client.disconnect()
def cleanup_eventing(self):
ev_node = self.cluster_util.get_nodes_from_services_map(
cluster=self.cluster,
service_type=CbServer.Services.EVENTING,
get_all_nodes=False)
ev_rest = EventingHelper(ev_node)
self.log.info("Running eventing cleanup api...")
ev_rest.cleanup_eventing()
def generate_docs_bigdata(self,
docs_per_day,
start=0,
document_size=1024000):
json_generator = JsonGenerator()
return json_generator.generate_docs_bigdata(end=(2016 * docs_per_day),
start=start,
value_size=document_size)
def print_eventing_stats_from_all_eventing_nodes(self):
eventing_nodes = self.cluster_util.get_nodes_from_services_map(
cluster=self.cluster,
service_type=CbServer.Services.EVENTING,
get_all_nodes=True)
for eventing_node in eventing_nodes:
rest_conn = EventingHelper(eventing_node)
out = rest_conn.get_all_eventing_stats()
self.log.info("Stats for Node {0} is \n{1}".format(
eventing_node.ip, json.dumps(out, sort_keys=True, indent=4)))
def print_go_routine_dump_from_all_eventing_nodes(self):
eventing_nodes = self.cluster_util.get_nodes_from_services_map(
cluster=self.cluster,
service_type=CbServer.Services.EVENTING,
get_all_nodes=True)
for eventing_node in eventing_nodes:
rest_conn = EventingHelper(eventing_node)
out = rest_conn.get_eventing_go_routine_dumps()
self.log.info(
"Go routine dumps for Node {0} is \n{1} ======================================================"
"============================================================================================="
"\n\n".format(eventing_node.ip, out))
# def verify_source_bucket_mutation(self,doc_count,deletes=False,timeout=600,bucket=None):
# if bucket == None:
# bucket=self.src_bucket_name
# # query = "create primary index on {}".format(self.src_bucket_name)
# # self.n1ql_helper.run_cbq_query(query=query, server=self.n1ql_node)
# num_nodes = self.refresh_rest_server()
# eventing_nodes = self.cluster_util.get_nodes_from_services_map(service_type="eventing", get_all_nodes=True)
# count=0
# result=0
# while count <= 20 and doc_count != result:
# self.sleep(timeout / 20, message="Waiting for eventing to process all dcp mutations...")
# if deletes:
# query="select raw(count(*)) from {} where doc_deleted = 1".format(bucket)
# else:
# query="select raw(count(*)) from {} where updated_field = 1".format(bucket)
# result_set=self.n1ql_helper.run_cbq_query(query=query,server=self.n1ql_node)
# result=result_set["results"][0]
# if deletes:
# self.log.info("deleted docs:{} expected doc: {}".format(result,doc_count))
# else:
# self.log.info("updated docs:{} expected doc: {}".format(result, doc_count))
# count=count+1
#
# if count > 20 and doc_count != result:
# total_dcp_backlog = 0
# timers_in_past = 0
# lcb = {}
# # TODO : Use the following stats in a meaningful way going forward. Just printing them for debugging.
# for eventing_node in eventing_nodes:
# rest_conn = RestConnection(eventing_node)
# out = rest_conn.get_all_eventing_stats()
# total_dcp_backlog += out[0]["events_remaining"]["dcp_backlog"]
# if "TIMERS_IN_PAST" in out[0]["event_processing_stats"]:
# timers_in_past += out[0]["event_processing_stats"]["TIMERS_IN_PAST"]
# total_lcb_exceptions = out[0]["lcb_exception_stats"]
# host = eventing_node.ip
# lcb[host] = total_lcb_exceptions
# 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)))
# raise Exception("Eventing has not processed all the mutation in expected time, docs:{} expected doc: {}".format(result, doc_count))
def pause_resume_n(self, body, num):
for i in range(num):
self.pause_function(body)
self.sleep(30)
self.resume_function(body)
def wait_for_handler_state(self, name, status, iterations=20):
self.sleep(20, message="Waiting for {} to {}...".format(name, status))
result = self.eventing_helper.get_composite_eventing_status()
count = 0
composite_status = None
while composite_status != status and count < iterations:
self.sleep(20, "Waiting for {} to {}...".format(name, status))
result = self.eventing_helper.get_composite_eventing_status()
for i in range(len(result['apps'])):
if result['apps'][i]['name'] == name:
composite_status = result['apps'][i]['composite_status']
count += 1
if count == iterations:
raise Exception(
'Eventing took lot of time for handler {} to {}'.format(
name, status))
def setup_curl(self, ):
o = os.system('python scripts/curl_setup.py start')
self.log.info("=== started docker container =======".format(o))
self.sleep(10)
if o != 0:
self.log.info("script result {}".format(o))
raise Exception("unable to start docker")
o = os.system('python scripts/curl_setup.py setup')
self.log.info("=== setup done =======")
if o != 0:
self.log.info("script result {}".format(o))
raise Exception("curl setup fail")
def teardown_curl(self):
o = os.system('python scripts/curl_setup.py stop')
self.log.info("=== stopping docker container =======")
def insall_dependencies(self):
try:
import docker
except ImportError, e:
o = os.system("python scripts/install_docker.py docker")
self.log.info("docker installation done: {}".format(o))
self.sleep(30)
try:
import docker
except ImportError, e:
raise Exception("docker installation fails with {}".format(o))
class EventingUtils:
def __init__(self,
master,
eventing_nodes,
src_bucket_name='src_bucket',
dst_bucket_name='dst_bucket',
metadata_bucket_name='metadata',
dst_bucket_name1='dst_bucket_name1',
eventing_log_level='INFO',
use_memory_manager=True,
timer_storage_chan_size=10000,
dcp_gen_chan_size=10000,
is_sbm=False,
is_curl=False,
hostname='https://postman-echo.com/',
auth_type='no-auth',
curl_username=None,
curl_password=None,
cookies=False,
print_eventing_handler_code_in_logs=True):
self.log = logging.getLogger("test")
self.eventing_nodes = eventing_nodes
self.master = master
self.eventing_helper = EventingHelper(self.eventing_nodes[0])
self.src_bucket_name = src_bucket_name
self.dst_bucket_name = dst_bucket_name
self.metadata_bucket_name = metadata_bucket_name
self.dst_bucket_name1 = dst_bucket_name1
self.eventing_log_level = eventing_log_level
self.use_memory_manager = use_memory_manager
self.timer_storage_chan_size = timer_storage_chan_size
self.dcp_gen_chan_size = dcp_gen_chan_size
self.is_sbm = is_sbm
self.is_curl = is_curl
self.hostname = hostname
self.auth_type = auth_type
self.curl_username = curl_username
self.curl_password = curl_password
self.cookies = cookies
self.bucket_helper = BucketHelper(self.master)
self.print_eventing_handler_code_in_logs = print_eventing_handler_code_in_logs
def create_save_function_body(self,
appname,
appcode,
description="Sample Description",
checkpoint_interval=20000,
cleanup_timers=False,
dcp_stream_boundary="everything",
deployment_status=True,
skip_timer_threshold=86400,
sock_batch_size=1,
tick_duration=5000,
timer_processing_tick_interval=500,
timer_worker_pool_size=3,
worker_count=3,
processing_status=True,
cpp_worker_thread_count=1,
multi_dst_bucket=False,
execution_timeout=20,
data_chan_size=10000,
worker_queue_cap=100000,
deadline_timeout=62):
body = {}
body['appname'] = appname
script_dir = os.path.dirname(__file__)
abs_file_path = os.path.join(script_dir, appcode)
fh = open(abs_file_path, "r")
body['appcode'] = fh.read()
fh.close()
body['depcfg'] = {}
body['depcfg']['buckets'] = []
body['depcfg']['buckets'].append({
"alias": self.dst_bucket_name,
"bucket_name": self.dst_bucket_name,
"access": "rw"
})
if multi_dst_bucket:
body['depcfg']['buckets'].append({
"alias":
self.dst_bucket_name1,
"bucket_name":
self.dst_bucket_name1
})
body['depcfg']['metadata_bucket'] = self.metadata_bucket_name
body['depcfg']['source_bucket'] = self.src_bucket_name
body['settings'] = {}
body['settings']['checkpoint_interval'] = checkpoint_interval
body['settings']['cleanup_timers'] = cleanup_timers
body['settings']['dcp_stream_boundary'] = dcp_stream_boundary
body['settings']['deployment_status'] = deployment_status
body['settings']['description'] = description
body['settings']['log_level'] = self.eventing_log_level
body['settings']['skip_timer_threshold'] = skip_timer_threshold
body['settings']['sock_batch_size'] = sock_batch_size
body['settings']['tick_duration'] = tick_duration
body['settings'][
'timer_processing_tick_interval'] = timer_processing_tick_interval
body['settings']['timer_worker_pool_size'] = timer_worker_pool_size
body['settings']['worker_count'] = worker_count
body['settings']['processing_status'] = processing_status
body['settings']['cpp_worker_thread_count'] = cpp_worker_thread_count
body['settings']['execution_timeout'] = execution_timeout
body['settings']['data_chan_size'] = data_chan_size
body['settings']['worker_queue_cap'] = worker_queue_cap
# See MB-27967, the reason for adding this config
body['settings']['use_memory_manager'] = self.use_memory_manager
# since deadline_timeout has to always greater than execution_timeout
if execution_timeout != 3:
deadline_timeout = execution_timeout + 1
body['settings']['deadline_timeout'] = deadline_timeout
body['settings'][
'timer_storage_chan_size'] = self.timer_storage_chan_size
body['settings']['dcp_gen_chan_size'] = self.dcp_gen_chan_size
if self.is_sbm:
del body['depcfg']['buckets'][0]
body['depcfg']['buckets'].append({
"alias": self.src_bucket_name,
"bucket_name": self.src_bucket_name,
"access": "rw"
})
body['depcfg']['curl'] = []
if self.is_curl:
body['depcfg']['curl'].append({
"hostname": self.hostname,
"value": "server",
"auth_type": self.auth_type,
"username": self.curl_username,
"password": self.curl_password,
"allow_cookies": self.cookies
})
if self.auth_type == "bearer":
body['depcfg']['curl'][0]['bearer_key'] = self.bearer_key
self.cb_version = RestConnection(self.master).get_nodes_version()
body['settings']['language_compatibility'] = self.cb_version[:5]
return body
def wait_for_bootstrap_to_complete(self, name, iterations=20):
result = self.eventing_helper.get_deployed_eventing_apps()
count = 0
while name not in result and count < iterations:
self.sleep(
30,
message=
"Waiting for eventing node to come out of bootstrap state...")
count += 1
result = self.eventing_helper.get_deployed_eventing_apps()
if count == iterations:
raise Exception(
'Eventing took lot of time to come out of bootstrap state or did not successfully bootstrap'
)
def wait_for_undeployment(self, name, iterations=20):
self.sleep(30, message="Waiting for undeployment of function...")
result = self.eventing_helper.get_running_eventing_apps()
count = 0
while name in result and count < iterations:
self.sleep(30, message="Waiting for undeployment of function...")
count += 1
result = self.eventing_helper.get_running_eventing_apps()
if count == iterations:
raise Exception('Eventing took lot of time to undeploy')
def verify_eventing_results(self,
name,
expected_dcp_mutations,
doc_timer_events=False,
on_delete=False,
skip_stats_validation=False,
bucket=None,
timeout=600):
# This resets the rest server as the previously used rest server might be out of cluster due to rebalance
num_nodes = self.refresh_rest_server()
if bucket is None:
bucket = self.dst_bucket_name
if self.is_sbm:
bucket = self.src_bucket_name
if not skip_stats_validation:
# we can't rely on dcp_mutation stats when doc timers events are set.
# TODO : add this back when getEventProcessingStats works reliably for doc timer events as well
if not doc_timer_events:
count = 0
if num_nodes <= 1:
stats = self.eventing_helper.get_event_processing_stats(
name)
else:
stats = self.eventing_helper.get_aggregate_event_processing_stats(
name)
if on_delete:
mutation_type = "dcp_deletion"
else:
mutation_type = "dcp_mutation"
actual_dcp_mutations = stats[mutation_type]
# This is required when binary data is involved where dcp_mutation will have process DCP_MUTATIONS
# but ignore it
# wait for eventing node to process dcp mutations
self.log.info("Number of {0} processed till now : {1}".format(
mutation_type, actual_dcp_mutations))
while actual_dcp_mutations != expected_dcp_mutations and count < 20:
self.sleep(
timeout / 20,
message=
"Waiting for eventing to process all dcp mutations...")
count += 1
if num_nodes <= 1:
stats = self.eventing_helper.get_event_processing_stats(
name)
else:
stats = self.eventing_helper.get_aggregate_event_processing_stats(
name)
actual_dcp_mutations = stats[mutation_type]
self.log.info(
"Number of {0} processed till now : {1}".format(
mutation_type, actual_dcp_mutations))
if count == 20:
raise Exception(
"Eventing has not processed all the {0}. Current : {1} Expected : {2}"
.format(mutation_type, actual_dcp_mutations,
expected_dcp_mutations))
# wait for bucket operations to complete and verify it went through successfully
count = 0
stats_dst = self.bucket_helper.get_bucket_stats(bucket)
while stats_dst["curr_items"] != expected_dcp_mutations and count < 20:
message = "Waiting for handler code {2} to complete bucket operations... Current : {0} Expected : {1}".\
format(stats_dst["curr_items"], expected_dcp_mutations,name)
self.sleep(timeout / 20, message=message)
curr_items = stats_dst["curr_items"]
stats_dst = self.bucket_helper.get_bucket_stats(bucket)
if curr_items == stats_dst["curr_items"]:
count += 1
else:
count = 0
try:
stats_src = self.bucket_helper.get_bucket_stats(
self.src_bucket_name)
self.log.info("Documents in source bucket : {}".format(
stats_src["curr_items"]))
except:
pass
if stats_dst["curr_items"] != expected_dcp_mutations:
total_dcp_backlog = 0
timers_in_past = 0
lcb = {}
# TODO : Use the following stats in a meaningful way going forward. Just printing them for debugging.
for eventing_node in self.eventing_nodes:
rest_conn = EventingHelper(eventing_node)
out = rest_conn.get_all_eventing_stats()
total_dcp_backlog += out[0]["events_remaining"]["dcp_backlog"]
if "TIMERS_IN_PAST" in out[0]["event_processing_stats"]:
timers_in_past += out[0]["event_processing_stats"][
"TIMERS_IN_PAST"]
total_lcb_exceptions = out[0]["lcb_exception_stats"]
host = eventing_node.ip
lcb[host] = total_lcb_exceptions
full_out = rest_conn.get_all_eventing_stats(
seqs_processed=True)
self.log.debug("Stats for Node {0} is \n{1} ".format(
eventing_node.ip, json.dumps(out, sort_keys=True,
indent=4)))
self.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} lcb_exceptions : {4}"
.format(stats_dst["curr_items"], expected_dcp_mutations,
total_dcp_backlog, timers_in_past, lcb))
self.log.info(
"Final docs count... Current : {0} Expected : {1}".format(
stats_dst["curr_items"], expected_dcp_mutations))
# 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 self.eventing_nodes:
rest_conn = EventingHelper(eventing_node)
out = rest_conn.get_all_eventing_stats()
full_out = rest_conn.get_all_eventing_stats(seqs_processed=True)
self.log.debug("Stats for Node {0} is \n{1} ".format(
eventing_node.ip, json.dumps(out, sort_keys=True, indent=4)))
self.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.eventing_helper.get_all_eventing_stats()
js = json.loads(content)
self.log.debug("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,
pause_resume=False,
pause_resume_number=1):
body['settings']['deployment_status'] = True
body['settings']['processing_status'] = True
if self.print_eventing_handler_code_in_logs:
self.log.info(
"Deploying the following handler code : {0} with {1}".format(
body['appname'], body['depcfg']))
self.log.info("\n{0}".format(body['appcode']))
content1 = self.eventing_helper.create_function(body['appname'], body)
self.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_handler_state(body['appname'], "deployed")
if pause_resume and pause_resume_number > 0:
self.pause_resume_n(body, pause_resume_number)
def undeploy_and_delete_function(self, body):
self.undeploy_function(body)
self.sleep(5)
self.delete_function(body)
def undeploy_function(self, body):
self.refresh_rest_server()
content = self.eventing_helper.undeploy_function(body['appname'])
self.log.info("Undeploy Application : {0}".format(body['appname']))
self.wait_for_handler_state(body['appname'], "undeployed")
return content
def delete_function(self, body):
content1 = self.eventing_helper.delete_single_function(body['appname'])
self.log.info("Delete Application : {0}".format(body['appname']))
return content1
def pause_function(self, body, wait_for_pause=True):
body['settings']['deployment_status'] = True
body['settings']['processing_status'] = False
self.refresh_rest_server()
content1 = self.eventing_helper.set_settings_for_function(
body['appname'], body['settings'])
self.log.info("Pause Application : {0}".format(body['appname']))
if wait_for_pause:
self.wait_for_handler_state(body['appname'], "paused")
def resume_function(self, body, wait_for_resume=True):
body['settings']['deployment_status'] = True
body['settings']['processing_status'] = True
if "dcp_stream_boundary" in body['settings']:
body['settings'].pop('dcp_stream_boundary')
self.log.info(
"Settings after deleting dcp_stream_boundary : {0}".format(
body['settings']))
self.refresh_rest_server()
content1 = self.eventing_helper.set_settings_for_function(
body['appname'], body['settings'])
self.log.info("Resume Application : {0}".format(body['appname']))
if wait_for_resume:
self.wait_for_handler_state(body['appname'], "deployed")
def refresh_rest_server(self):
self.restServer = self.eventing_nodes[0]
self.rest = RestConnection(self.restServer)
return len(self.eventing_nodes)
def check_if_eventing_consumers_are_cleaned_up(self):
array_of_counts = []
command = "ps -ef | grep eventing-consumer | grep -v grep | wc -l"
for eventing_node in self.eventing_nodes:
shell = RemoteMachineShellConnection(eventing_node)
count, error = shell.execute_non_sudo_command(command)
if isinstance(count, list):
count = int(count[0])
else:
count = int(count)
self.log.info(
"Node : {0} , eventing_consumer processes running : {1}".
format(eventing_node.ip, count))
array_of_counts.append(count)
count_of_all_eventing_consumers = sum(array_of_counts)
if count_of_all_eventing_consumers != 0:
return False
return True
"""
Checks if a string 'panic' is present in eventing.log on server and returns the number of occurrences
"""
def check_eventing_logs_for_panic(self):
# self.generate_map_nodes_out_dist()
panic_str = "panic"
if not self.eventing_nodes:
return None
for eventing_node in self.eventing_nodes:
shell = RemoteMachineShellConnection(eventing_node)
_, dir_name = RestConnection(eventing_node).diag_eval(
'filename:absname(element(2, application:get_env(ns_server,error_logger_mf_dir))).'
)
eventing_log = str(dir_name) + '/eventing.log*'
count, err = shell.execute_command(
"zgrep \"{0}\" {1} | wc -l".format(panic_str, eventing_log))
if isinstance(count, list):
count = int(count[0])
else:
count = int(count)
if count > self.panic_count:
self.log.info(
"===== PANIC OBSERVED IN EVENTING LOGS ON SERVER {0}=====".
format(eventing_node.ip))
panic_trace, _ = shell.execute_command(
"zgrep \"{0}\" {1}".format(panic_str, eventing_log))
self.log.info("\n {0}".format(panic_trace))
self.panic_count = count
os_info = shell.extract_remote_info()
if os_info.type.lower() == "windows":
# This is a fixed path in all windows systems inside couchbase
dir_name_crash = 'c://CrashDumps'
else:
dir_name_crash = str(dir_name) + '/../crash/'
core_dump_count, err = shell.execute_command(
"ls {0}| wc -l".format(dir_name_crash))
if isinstance(core_dump_count, list):
core_dump_count = int(core_dump_count[0])
else:
core_dump_count = int(core_dump_count)
if core_dump_count > 0:
self.log.info(
"===== CORE DUMPS SEEN ON EVENTING NODES, SERVER {0} : {1} crashes seen ====="
.format(eventing_node.ip, core_dump_count))
shell.disconnect()
def print_execution_and_failure_stats(self, name):
out_event_execution = self.eventing_helper.get_event_execution_stats(
name)
self.log.debug(
"Event execution stats : {0}".format(out_event_execution))
out_event_failure = self.eventing_helper.get_event_failure_stats(name)
self.log.debug("Event failure stats : {0}".format(out_event_failure))
def undeploy_delete_all_functions(self):
content = self.eventing_helper.get_deployed_eventing_apps()
res = content.keys()
self.log.info("all keys {}".format(res))
for a in res:
self.eventing_helper.undeploy_function(a)
for a in res:
self.wait_for_handler_state(a, "undeployed")
self.eventing_helper.delete_all_function()
def cleanup_eventing(self):
ev_rest = EventingHelper(self.eventing_nodes[0])
self.log.info("Running eventing cleanup api...")
ev_rest.cleanup_eventing()
def print_eventing_stats_from_all_eventing_nodes(self):
for eventing_node in self.eventing_nodes:
rest_conn = EventingHelper(eventing_node)
out = rest_conn.get_all_eventing_stats()
self.log.info("Stats for Node {0} is \n{1} ".format(
eventing_node.ip, json.dumps(out, sort_keys=True, indent=4)))
def print_go_routine_dump_from_all_eventing_nodes(self):
for eventing_node in self.eventing_nodes:
rest_conn = EventingHelper(eventing_node)
out = rest_conn.get_eventing_go_routine_dumps()
self.log.info(
"Go routine dumps for Node {0} is \n{1} ======================================================"
"============================================================================================="
"\n\n".format(eventing_node.ip, out))
# def verify_source_bucket_mutation(self,doc_count,deletes=False,timeout=600,bucket=None):
# if bucket == None:
# bucket=self.src_bucket_name
# # query = "create primary index on {}".format(self.src_bucket_name)
# # self.n1ql_helper.run_cbq_query(query=query, server=self.n1ql_node)
# num_nodes = self.refresh_rest_server()
# count=0
# result=0
# while count <= 20 and doc_count != result:
# self.sleep(timeout / 20, message="Waiting for eventing to process all dcp mutations...")
# if deletes:
# query="select raw(count(*)) from {} where doc_deleted = 1".format(bucket)
# else:
# query="select raw(count(*)) from {} where updated_field = 1".format(bucket)
# result_set=self.n1ql_helper.run_cbq_query(query=query,server=self.n1ql_node)
# result=result_set["results"][0]
# if deletes:
# self.log.info("deleted docs:{} expected doc: {}".format(result,doc_count))
# else:
# self.log.info("updated docs:{} expected doc: {}".format(result, doc_count))
# count=count+1
#
# if count > 20 and doc_count != result:
# total_dcp_backlog = 0
# timers_in_past = 0
# lcb = {}
# # TODO : Use the following stats in a meaningful way going forward. Just printing them for debugging.
# for eventing_node in self.eventing_nodes:
# rest_conn = RestConnection(eventing_node)
# out = rest_conn.get_all_eventing_stats()
# total_dcp_backlog += out[0]["events_remaining"]["dcp_backlog"]
# if "TIMERS_IN_PAST" in out[0]["event_processing_stats"]:
# timers_in_past += out[0]["event_processing_stats"]["TIMERS_IN_PAST"]
# total_lcb_exceptions = out[0]["lcb_exception_stats"]
# host = eventing_node.ip
# lcb[host] = total_lcb_exceptions
# 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)))
# raise Exception("Eventing has not processed all the mutation in expected time, docs:{} expected doc: {}".format(result, doc_count))
def pause_resume_n(self, body, num):
for i in range(num):
self.pause_function(body)
self.sleep(30)
self.resume_function(body)
def wait_for_handler_state(self, name, status, iterations=20):
self.sleep(20, message="Waiting for {} to {}...".format(name, status))
result = self.eventing_helper.get_composite_eventing_status()
count = 0
composite_status = None
while composite_status != status and count < iterations:
self.sleep(20, "Waiting for {} to {}...".format(name, status))
result = self.eventing_helper.get_composite_eventing_status()
for i in range(len(result['apps'])):
if result['apps'][i]['name'] == name:
composite_status = result['apps'][i]['composite_status']
count += 1
if count == iterations:
raise Exception(
'Eventing took lot of time for handler {} to {}'.format(
name, status))
def setup_curl(self, ):
o = os.system('python scripts/curl_setup.py start')
self.log.info("=== started docker container =======".format(o))
self.sleep(10)
if o != 0:
self.log.info("script result {}".format(o))
raise Exception("unable to start docker")
o = os.system('python scripts/curl_setup.py setup')
self.log.info("=== setup done =======")
if o != 0:
self.log.info("script result {}".format(o))
raise Exception("curl setup fail")
def check_eventing_rebalance(self):
status = self.eventing_helper.get_eventing_rebalance_status()
self.log.info("Eventing rebalance status: {}".format(status))
if status == "true":
return True
else:
return False
def sleep(self, timeout=15, message=None):
self.log.debug("Sleep is called from %s -> %s():L%s" %
(inspect.stack()[1][1], inspect.stack()[1][3],
inspect.stack()[1][2]))
self.log.info("Reason: %s. Sleep for %s secs ..." % (message, timeout))
time.sleep(timeout)
