from __future__ import print_function, division, absolute_import
from bisect import bisect
from toolz import valmap
from bokeh.plotting import curdoc, vplot
from distributed.bokeh.status_monitor import (task_stream_plot,
progress_plot)
from distributed.utils import log_errors
import distributed.bokeh
messages = distributed.bokeh.messages # global message store
doc = curdoc()
width = 800
task_stream_source, task_stream_plot = task_stream_plot(height=600,
width=width, follow_interval=20000)
task_stream_plot.min_border_top = 0
task_stream_plot.min_border_bottom = 0
task_stream_plot.min_border_left = 0
task_stream_plot.min_border_right = 10
task_stream_plot.xaxis.axis_label = None
task_stream_index = [0]
rectangles = messages['task-events']['rectangles']
rectangles = valmap(list, rectangles)
task_stream_source.data.update(rectangles)
doc.add_root(task_stream_plot)
from __future__ import print_function, division, absolute_import
from bisect import bisect
from toolz import valmap
from bokeh.plotting import curdoc, vplot
from distributed.bokeh.status_monitor import (task_stream_plot, progress_plot)
from distributed.utils import log_errors
import distributed.bokeh
messages = distributed.bokeh.messages # global message store
doc = curdoc()
width = 800
task_stream_source, task_stream_plot = task_stream_plot(height=800,
width=width,
follow_interval=20000)
task_stream_plot.min_border_top = 0
task_stream_plot.min_border_bottom = 0
task_stream_plot.min_border_left = 0
task_stream_plot.min_border_right = 10
task_stream_plot.xaxis.axis_label = None
task_stream_index = [0]
rectangles = messages['task-events']['rectangles']
rectangles = valmap(list, rectangles)
task_stream_source.data.update(rectangles)
doc.add_root(task_stream_plot)
def test_task_stream_plot():
source, plot = task_stream_plot()
def test_task_stream_plot():
source, plot = task_stream_plot()
d = progress_quads(msg)
progress_source.data.update(d)
progress_plot.title.text = ("Progress -- total: %(total)s, "
"in-memory: %(in-memory)s, processing: %(processing)s, "
"ready: %(ready)s, waiting: %(waiting)s, failed: %(failed)s"
% messages['tasks']['deque'][-1])
nb = nbytes_bar(msg['nbytes'])
nbytes_task_source.data.update(nb)
nbytes_task_plot.title.text = \
"Memory Use: %0.2f MB" % (sum(msg['nbytes'].values()) / 1e6)
doc.add_periodic_callback(progress_update, 50)
task_stream_index = [0]
task_stream_source, task_stream_plot = task_stream_plot(
sizing_mode=SIZING_MODE, width=WIDTH, height=300)
def task_stream_update():
with log_errors():
index = messages['task-events']['index']
old = rectangles = messages['task-events']['rectangles']
if not index or index[-1] == task_stream_index[0]:
return
ind = bisect(index, task_stream_index[0])
rectangles = {k: [v[i] for i in range(ind, len(index))]
for k, v in rectangles.items()}
task_stream_index[0] = index[-1]
# If there has been a five second delay, clear old rectangles
if rectangles['start']:
progress_plot.logo = None
# progress_plot.toolbar_location = None
progress_plot.xaxis.axis_label = None
def progress_update():
with log_errors():
msg = messages['progress']
d = progress_quads(msg)
progress_source.data.update(d)
doc.add_periodic_callback(progress_update, 50)
task_stream_source, task_stream_plot = task_stream_plot(height=int(width / 2),
width=width,
follow_interval=None)
task_stream_plot.min_border_bottom = 0
task_stream_plot.min_border_left = 0
task_stream_plot.min_border_right = 10
task_stream_plot.xaxis.axis_label = None
task_stream_index = [0]
def task_stream_update():
with log_errors():
index = messages['task-events']['index']
old = rectangles = messages['task-events']['rectangles']
if not index or index[-1] == task_stream_index[0]:
return
progress_plot.min_border_bottom -= 40
progress_plot.plot_height -= 80
progress_plot.logo = None
# progress_plot.toolbar_location = None
progress_plot.xaxis.axis_label = None
def progress_update():
with log_errors():
msg = messages['progress']
d = progress_quads(msg)
progress_source.data.update(d)
doc.add_periodic_callback(progress_update, 50)
task_stream_source, task_stream_plot = task_stream_plot(height=int(width/2),
width=width, follow_interval=None)
task_stream_plot.min_border_bottom = 0
task_stream_plot.min_border_left = 0
task_stream_plot.min_border_right = 10
task_stream_plot.xaxis.axis_label = None
task_stream_index = [0]
def task_stream_update():
with log_errors():
index = messages['task-events']['index']
old = rectangles = messages['task-events']['rectangles']
if not index or index[-1] == task_stream_index[0]:
return
ind = bisect(index, task_stream_index[0])
rectangles = {k: [v[i] for i in range(ind, len(index))]
progress_source, progress_plot = progress_plot()
def progress_update():
with log_errors():
msg = messages['progress']
d = progress_quads(msg)
progress_source.data.update(d)
progress_plot.title.text = ("Progress -- total: %(total)s, "
"in-memory: %(in-memory)s, processing: %(processing)s, "
"ready: %(ready)s, waiting: %(waiting)s, failed: %(failed)s"
% messages['tasks']['deque'][-1])
doc.add_periodic_callback(progress_update, 50)
task_stream_index = [0]
task_stream_source, task_stream_plot = task_stream_plot()
def task_stream_update():
with log_errors():
index = messages['task-events']['index']
old = rectangles = messages['task-events']['rectangles']
if not index or index[-1] == task_stream_index[0]:
return
ind = bisect(index, task_stream_index[0])
rectangles = {k: [v[i] for i in range(ind, len(index))]
for k, v in rectangles.items()}
task_stream_index[0] = index[-1]
# If there has been a five second delay, clear old rectangles
if rectangles['start']:
#!/usr/bin/env python
from __future__ import print_function, division, absolute_import
from toolz import valmap
from bokeh.io import curdoc
from distributed.bokeh.status_monitor import task_stream_plot
import distributed.bokeh
messages = distributed.bokeh.messages # global message store
doc = curdoc()
task_stream_source, task_stream_plot = task_stream_plot(
sizing_mode='stretch_both')
task_stream_index = [0]
rectangles = messages['task-events']['rectangles']
rectangles = valmap(list, rectangles)
task_stream_source.data.update(rectangles)
doc.add_root(task_stream_plot)
#!/usr/bin/env python from __future__ import print_function, division, absolute_import from toolz import valmap from bokeh.io import curdoc from distributed.bokeh.status_monitor import task_stream_plot import distributed.bokeh messages = distributed.bokeh.messages # global message store doc = curdoc() task_stream_source, task_stream_plot = task_stream_plot(sizing_mode='stretch_both') task_stream_index = [0] rectangles = messages['task-events']['rectangles'] rectangles = valmap(list, rectangles) task_stream_source.data.update(rectangles) doc.add_root(task_stream_plot)
