def _get_cluster_status_info_values(self):
if self._retrieved_at + self.REFRESH_INTERVAL < time.time():
# Info is stale, need to refresh
new_info = h2o.api("GET /3/Cloud")
self._fill_from_h2ocluster(new_info)
ncpus = sum(node["num_cpus"] for node in self.nodes)
allowed_cpus = sum(node["cpus_allowed"] for node in self.nodes)
free_mem = sum(node["free_mem"] for node in self.nodes)
unhealthy_nodes = sum(not node["healthy"] for node in self.nodes)
status = "locked" if self.locked else "accepting new members"
if unhealthy_nodes == 0:
status += ", healthy"
else:
status += ", %d nodes are not healthy" % unhealthy_nodes
api_extensions = self.list_api_extensions()
values = [
get_human_readable_time(self.cloud_uptime_millis),
self.cloud_internal_timezone, self.datafile_parser_timezone,
self.version,
"{} {}".format(self.build_age,
("!!!" if self.build_too_old else "")),
self.cloud_name, self.cloud_size,
get_human_readable_bytes(free_mem), ncpus, allowed_cpus, status,
h2o.connection().base_url,
json.dumps(h2o.connection().proxy), self.internal_security_enabled,
', '.join(api_extensions),
"%d.%d.%d %s" % tuple(sys.version_info[:4])
]
return values
def show_status(self, detailed=False):
"""
Print current cluster status information.
:param detailed: if True, then also print detailed information about each node.
"""
if self._retrieved_at + self.REFRESH_INTERVAL < time.time():
# Info is stale, need to refresh
new_info = h2o.api("GET /3/Cloud")
self._fill_from_h2ocluster(new_info)
ncpus = sum(node["num_cpus"] for node in self.nodes)
allowed_cpus = sum(node["cpus_allowed"] for node in self.nodes)
free_mem = sum(node["free_mem"] for node in self.nodes)
unhealthy_nodes = sum(not node["healthy"] for node in self.nodes)
status = "locked" if self.locked else "accepting new members"
if unhealthy_nodes == 0:
status += ", healthy"
else:
status += ", %d nodes are not healthy" % unhealthy_nodes
api_extensions = self.list_api_extensions()
H2ODisplay([
["H2O cluster uptime:", get_human_readable_time(self.cloud_uptime_millis)],
["H2O cluster timezone:", self.cloud_internal_timezone],
["H2O data parsing timezone:", self.datafile_parser_timezone],
["H2O cluster version:", self.version],
["H2O cluster version age:", "{} {}".format(self.build_age, ("!!!" if self.build_too_old else ""))],
["H2O cluster name:", self.cloud_name],
["H2O cluster total nodes:", self.cloud_size],
["H2O cluster free memory:", get_human_readable_bytes(free_mem)],
["H2O cluster total cores:", str(ncpus)],
["H2O cluster allowed cores:", str(allowed_cpus)],
["H2O cluster status:", status],
["H2O connection url:", h2o.connection().base_url],
["H2O connection proxy:", h2o.connection().proxy],
["H2O internal security:", self.internal_security_enabled],
["H2O API Extensions:", ', '.join(api_extensions)],
["Python version:", "%d.%d.%d %s" % tuple(sys.version_info[:4])],
])
if detailed:
keys = ["h2o", "healthy", "last_ping", "num_cpus", "sys_load", "mem_value_size", "free_mem", "pojo_mem",
"swap_mem", "free_disk", "max_disk", "pid", "num_keys", "tcps_active", "open_fds", "rpcs_active"]
header = ["Nodes info:"] + ["Node %d" % (i + 1) for i in range(len(self.nodes))]
table = [[k] for k in keys]
for node in self.nodes:
for i, k in enumerate(keys):
table[i].append(node[k])
H2ODisplay(table=table, header=header)
def show_status(self, detailed=False):
"""
Print current cluster status information.
:param detailed: if True, then also print detailed information about each node.
"""
if self._retrieved_at + self.REFRESH_INTERVAL < time.time():
# Info is stale, need to refresh
new_info = h2o.api("GET /3/Cloud")
self._fill_from_h2ocluster(new_info)
ncpus = sum(node["num_cpus"] for node in self.nodes)
allowed_cpus = sum(node["cpus_allowed"] for node in self.nodes)
free_mem = sum(node["free_mem"] for node in self.nodes)
unhealthy_nodes = sum(not node["healthy"] for node in self.nodes)
status = "locked" if self.locked else "accepting new members"
if unhealthy_nodes == 0:
status += ", healthy"
else:
status += ", %d nodes are not healthy" % unhealthy_nodes
H2ODisplay([
["H2O cluster uptime:", get_human_readable_time(self.cloud_uptime_millis)],
["H2O cluster version:", self.version],
["H2O cluster version age:", "{} {}".format(self.build_age, ("!!!" if self.build_too_old else ""))],
["H2O cluster name:", self.cloud_name],
["H2O cluster total nodes:", self.cloud_size],
["H2O cluster free memory:", get_human_readable_bytes(free_mem)],
["H2O cluster total cores:", str(ncpus)],
["H2O cluster allowed cores:", str(allowed_cpus)],
["H2O cluster status:", status],
["H2O connection url:", h2o.connection().base_url],
["H2O connection proxy:", h2o.connection().proxy],
["H2O internal security:", self.internal_security_enabled],
["Python version:", "%d.%d.%d %s" % tuple(sys.version_info[:4])],
])
if detailed:
keys = ["h2o", "healthy", "last_ping", "num_cpus", "sys_load", "mem_value_size", "free_mem", "pojo_mem",
"swap_mem", "free_disk", "max_disk", "pid", "num_keys", "tcps_active", "open_fds", "rpcs_active"]
header = ["Nodes info:"] + ["Node %d" % (i + 1) for i in range(len(self.nodes))]
table = [[k] for k in keys]
for node in self.nodes:
for i, k in enumerate(keys):
table[i].append(node[k])
H2ODisplay(table=table, header=header)
