def run(self):
self.setup_logging()
all_service_config = read_services_configuration()
system_config = load_system_paasta_config()
service_replication = self.get_service_replication(
all_services=all_service_config.keys(),
synapse_host=system_config.get_default_synapse_host(),
synapse_port=system_config.get_synapse_port(),
synapse_haproxy_url_format=system_config.get_synapse_haproxy_url_format(),
)
checked_services = []
for service, service_config in all_service_config.iteritems():
do_monitoring, monitoring_config = extract_replication_info(
service_config
)
if do_monitoring:
self.log.debug("Checking {0}".format(service))
replication = service_replication.get('%s.main' % service, 0)
event = do_replication_check(service, monitoring_config,
replication)
checked_services.append(service)
self.log.debug("Result for {0}: {1}".format(service,
event['output']))
report_event(event)
else:
self.log.debug("Not checking {0}".format(service))
self.ok("Finished checking services: {0}".format(checked_services))
def run(self):
self.setup_logging()
all_service_config = read_services_configuration()
system_config = load_system_paasta_config()
service_replication = self.get_service_replication(
all_services=all_service_config.keys(),
synapse_host=system_config.get_default_synapse_host(),
synapse_port=system_config.get_synapse_port(),
synapse_haproxy_url_format=system_config.
get_synapse_haproxy_url_format(),
)
checked_services = []
for service, service_config in all_service_config.iteritems():
do_monitoring, monitoring_config = extract_replication_info(
service_config)
if do_monitoring:
self.log.debug("Checking {0}".format(service))
replication = service_replication.get('%s.main' % service, 0)
event = do_replication_check(service, monitoring_config,
replication)
checked_services.append(service)
self.log.debug("Result for {0}: {1}".format(
service, event['output']))
report_event(event)
else:
self.log.debug("Not checking {0}".format(service))
self.ok("Finished checking services: {0}".format(checked_services))
def test_read_services_configuration(self, read_patch, listdir_patch, abs_patch):
expected = {'1': 'hello', '2': 'hello', '3': 'hello'}
actual = service_configuration_lib.read_services_configuration(soa_dir='testdir')
abs_patch.assert_called_once_with('testdir')
listdir_patch.assert_called_once_with('nodir')
read_patch.assert_has_calls(
[mock.call('nodir', '1'), mock.call('nodir', '2'), mock.call('nodir', '3')],
)
assert expected == actual
def _load_yelpsoa_configs(context, service):
all_services = read_services_configuration(soa_dir=context.fake_yelpsoa_configs)
context.my_config = all_services[service]
def list_services():
"""Returns a sorted list of all services"""
return sorted(read_services_configuration().keys())
def _load_yelpsoa_configs(context, service):
all_services = read_services_configuration(soa_dir=context.fake_yelpsoa_configs)
context.my_config = all_services[service]
def list_services(**kwargs):
"""Returns a sorted list of all services"""
return sorted(read_services_configuration().keys())
def _get_related_jobs_and_configs(cluster, soa_dir=DEFAULT_SOA_DIR):
"""
For all the Chronos jobs defined in cluster, extract the list of topologically sorted related Chronos.
Two individual jobs are considered related each other if exists a dependency relationship between them.
:param cluster: cluster from which extracting the jobs
:return: tuple(related jobs mapping, jobs configuration)
"""
chronos_configs = {}
for service in service_configuration_lib.read_services_configuration(
soa_dir=soa_dir):
for instance in read_chronos_jobs_for_service(service=service,
cluster=cluster,
soa_dir=soa_dir):
try:
chronos_configs[(service, instance)] = load_chronos_job_config(
service=service,
instance=instance,
cluster=cluster,
soa_dir=soa_dir,
)
except NoDeploymentsAvailable:
pass
adjacency_list = defaultdict(
set) # List of adjacency used by dfs algorithm
for instance, config in chronos_configs.items():
for parent in config.get_parents():
parent = decompose_job_id(paasta_to_chronos_job_name(parent))
# Map the graph a undirected graph to simplify identification of connected components
adjacency_list[parent].add(instance)
adjacency_list[instance].add(parent)
def cached_dfs(known_dfs_results,
node,
neighbours_mapping,
ignore_cycles=False):
"""
Cached version of DFS algorithm (tuned for extraction of connected components).
:param known_dfs_results: previous results of DFS
:type known_dfs_results: list
:param node: starting node for DFS execution
:param neighbours_mapping: graph adjacency list
:type neighbours_mapping: dict
:param ignore_cycles: raise an exception if a cycle is identified in the graph
:type ignore_cycles: bool
:return: set of nodes part of the same connected component of `node`
:type: set
"""
for known_dfs_result in known_dfs_results:
if node in known_dfs_result:
return known_dfs_result
visited_nodes = set(
dfs(
node=node,
neighbours_mapping=neighbours_mapping,
ignore_cycles=ignore_cycles,
))
known_dfs_results.append(visited_nodes)
return visited_nodes
# Build connected components
known_connected_components = []
for instance in chronos_configs:
cached_dfs( # Using cached version of DFS to avoid all algorithm execution if the result it already know
known_dfs_results=known_connected_components,
node=instance,
ignore_cycles=
True, # Operating on an undirected graph to simplify identification of connected components
neighbours_mapping=adjacency_list,
)
connected_components = {}
for connected_component in known_connected_components:
for node in connected_component:
connected_components[node] = connected_component
return connected_components, chronos_configs
