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from __future__ import annotations
from urllib.parse import urljoin
from tlz import memoize
from tornado import web
from tornado.ioloop import IOLoop
from distributed.dashboard.components.nvml import (
gpu_doc,
gpu_memory_doc,
gpu_utilization_doc,
)
from distributed.dashboard.components.scheduler import (
AggregateAction,
BandwidthTypes,
BandwidthWorkers,
ClusterMemory,
ComputePerKey,
CurrentLoad,
EventLoop,
ExceptionsTable,
MemoryByKey,
Occupancy,
SystemMonitor,
SystemTimeseries,
TaskGraph,
TaskGroupGraph,
TaskGroupProgress,
TaskProgress,
TaskStream,
WorkerNetworkBandwidth,
WorkersMemory,
WorkersTransferBytes,
WorkerTable,
events_doc,
exceptions_doc,
graph_doc,
hardware_doc,
individual_doc,
individual_profile_doc,
individual_profile_server_doc,
profile_doc,
profile_server_doc,
shuffling_doc,
status_doc,
stealing_doc,
systemmonitor_doc,
tasks_doc,
tg_graph_doc,
workers_doc,
)
from distributed.dashboard.core import BokehApplication
from distributed.dashboard.worker import counters_doc
applications = {
"/system": systemmonitor_doc,
"/shuffle": shuffling_doc,
"/stealing": stealing_doc,
"/workers": workers_doc,
"/exceptions": exceptions_doc,
"/events": events_doc,
"/counters": counters_doc,
"/tasks": tasks_doc,
"/status": status_doc,
"/profile": profile_doc,
"/profile-server": profile_server_doc,
"/graph": graph_doc,
"/hardware": hardware_doc,
"/groups": tg_graph_doc,
"/gpu": gpu_doc,
"/individual-task-stream": individual_doc(
TaskStream, 100, n_rectangles=1000, clear_interval="10s"
),
"/individual-progress": individual_doc(TaskProgress, 100, height=160),
"/individual-graph": individual_doc(TaskGraph, 200),
"/individual-groups": individual_doc(TaskGroupGraph, 200),
"/individual-group-progress": individual_doc(TaskGroupProgress, 200),
"/individual-workers-memory": individual_doc(WorkersMemory, 100),
"/individual-cluster-memory": individual_doc(ClusterMemory, 100),
"/individual-workers-transfer-bytes": individual_doc(WorkersTransferBytes, 100),
"/individual-cpu": individual_doc(CurrentLoad, 100, fig_attr="cpu_figure"),
"/individual-nprocessing": individual_doc(
CurrentLoad, 100, fig_attr="processing_figure"
),
"/individual-occupancy": individual_doc(Occupancy, 100),
"/individual-workers": individual_doc(WorkerTable, 500),
"/individual-exceptions": individual_doc(ExceptionsTable, 1000),
"/individual-bandwidth-types": individual_doc(BandwidthTypes, 500),
"/individual-bandwidth-workers": individual_doc(BandwidthWorkers, 500),
"/individual-workers-network": individual_doc(
WorkerNetworkBandwidth, 500, fig_attr="bandwidth"
),
"/individual-workers-disk": individual_doc(
WorkerNetworkBandwidth, 500, fig_attr="disk"
),
"/individual-workers-network-timeseries": individual_doc(
SystemTimeseries, 500, fig_attr="bandwidth"
),
"/individual-workers-cpu-timeseries": individual_doc(
SystemTimeseries, 500, fig_attr="cpu"
),
"/individual-workers-memory-timeseries": individual_doc(
SystemTimeseries, 500, fig_attr="memory"
),
"/individual-workers-disk-timeseries": individual_doc(
SystemTimeseries, 500, fig_attr="disk"
),
"/individual-memory-by-key": individual_doc(MemoryByKey, 500),
"/individual-compute-time-per-key": individual_doc(ComputePerKey, 500),
"/individual-aggregate-time-per-action": individual_doc(AggregateAction, 500),
"/individual-scheduler-system": individual_doc(SystemMonitor, 500),
"/individual-event-loop": individual_doc(EventLoop, 500),
"/individual-profile": individual_profile_doc,
"/individual-profile-server": individual_profile_server_doc,
"/individual-gpu-memory": gpu_memory_doc,
"/individual-gpu-utilization": gpu_utilization_doc,
}
@memoize
def template_variables():
from distributed.diagnostics.nvml import device_get_count
template_variables = {
"pages": [
"status",
"workers",
"tasks",
"system",
*(["gpu"] if device_get_count() > 0 else []),
"profile",
"graph",
"groups",
"info",
],
"plots": [
{
"url": x.strip("/"),
"name": " ".join(x.strip("/").split("-")[1:])
.title()
.replace("Cpu", "CPU")
.replace("Gpu", "GPU"),
}
for x in applications
if "individual" in x
]
+ [{"url": "hardware", "name": "Hardware"}],
}
template_variables["plots"] = sorted(
template_variables["plots"], key=lambda d: d["name"]
)
return template_variables
def connect(application, http_server, scheduler, prefix=""):
bokeh_app = BokehApplication(
applications, scheduler, prefix=prefix, template_variables=template_variables()
)
application.add_application(bokeh_app)
bokeh_app.initialize(IOLoop.current())
bokeh_app.add_handlers(
r".*",
[
(
r"/",
web.RedirectHandler,
{"url": urljoin((prefix or "").strip("/") + "/", r"status")},
)
],
)
bokeh_app.start()
|
