if isinstance(o, dict):
D = {k: recursive_asdict(v) for k, v in o.items()}
return D
return o
def jsonify_asdict(o):
return json.dumps(dashboard_utils.to_google_style(recursive_asdict(o)))
# A list of gauges to record and export metrics.
METRICS_GAUGES = {
"node_cpu_utilization":
Gauge("node_cpu_utilization", "Total CPU usage on a ray node",
"percentage", ["ip"]),
"node_cpu_count":
Gauge("node_cpu_count", "Total CPUs available on a ray node", "cores",
["ip"]),
"node_mem_used":
Gauge("node_mem_used", "Memory usage on a ray node", "bytes", ["ip"]),
"node_mem_available":
Gauge("node_mem_available", "Memory available on a ray node", "bytes",
["ip"]),
"node_mem_total":
Gauge("node_mem_total", "Total memory on a ray node", "bytes", ["ip"]),
"node_gpus_available":
Gauge("node_gpus_available", "Total GPUs available on a ray node",
"percentage", ["ip"]),
"node_gpus_utilization":
Gauge("node_gpus_utilization", "Total GPUs usage on a ray node",
if isinstance(o, dict):
D = {k: recursive_asdict(v) for k, v in o.items()}
return D
return o
def jsonify_asdict(o):
return json.dumps(dashboard_utils.to_google_style(recursive_asdict(o)))
# A list of gauges to record and export metrics.
METRICS_GAUGES = {
"node_cpu_utilization": Gauge("node_cpu_utilization",
"Total CPU usage on a ray node",
"percentage", ["ip"]),
"node_cpu_count": Gauge("node_cpu_count",
"Total CPUs available on a ray node", "cores",
["ip"]),
"node_mem_used": Gauge("node_mem_used", "Memory usage on a ray node",
"bytes", ["ip"]),
"node_mem_available": Gauge("node_mem_available",
"Memory available on a ray node", "bytes",
["ip"]),
"node_mem_total": Gauge("node_mem_total", "Total memory on a ray node",
"bytes", ["ip"]),
"node_gpus_available": Gauge("node_gpus_available",
"Total GPUs available on a ray node",
"percentage", ["ip"]),
"node_gpus_utilization": Gauge("node_gpus_utilization",
if isinstance(o, dict):
D = {k: recursive_asdict(v) for k, v in o.items()}
return D
return o
def jsonify_asdict(o) -> str:
return json.dumps(dashboard_utils.to_google_style(recursive_asdict(o)))
# A list of gauges to record and export metrics.
METRICS_GAUGES = {
"node_cpu_utilization":
Gauge("node_cpu_utilization", "Total CPU usage on a ray node",
"percentage", ["ip"]),
"node_cpu_count":
Gauge("node_cpu_count", "Total CPUs available on a ray node", "cores",
["ip"]),
"node_mem_used":
Gauge("node_mem_used", "Memory usage on a ray node", "bytes", ["ip"]),
"node_mem_available":
Gauge("node_mem_available", "Memory available on a ray node", "bytes",
["ip"]),
"node_mem_total":
Gauge("node_mem_total", "Total memory on a ray node", "bytes", ["ip"]),
"node_gpus_available":
Gauge(
"node_gpus_available",
"Total GPUs available on a ray node",
"percentage",