def test_processing_update():
from distributed.diagnostics.scheduler import processing
from distributed.bokeh.components import Processing
class C(object):
pass
s = C()
s.processing = {'alice': {'inc', 'add'}, 'bob': {'inc'}}
s.waiting = {'x': set()}
s.who_has = {'z': set()}
s.ncores = {'alice': 4, 'bob': 4}
msg = processing(s)
assert msg == {'processing': {'alice': 2, 'bob': 1},
'waiting': 1,
'memory': 1,
'ncores': {'alice': 4, 'bob': 4}}
data = Processing.processing_update(msg)
expected = {'name': ['alice', 'bob'],
'processing': [2, 1],
'right': [2, 1],
'top': [2, 1],
'bottom': [1, 0],
'ncores': [4, 4],
'alpha': [0.7, 0.7]}
assert data == expected
def test_processing_update():
from distributed.diagnostics.scheduler import processing
from distributed.bokeh.components import Processing
class C(object):
pass
s = C()
s.processing = {'alice': {'inc', 'add'}, 'bob': {'inc'}}
s.waiting = {'x': set()}
s.who_has = {'z': set()}
s.ncores = {'alice': 4, 'bob': 4}
msg = processing(s)
assert msg == {'processing': {'alice': 2, 'bob': 1},
'waiting': 1,
'memory': 1,
'ncores': {'alice': 4, 'bob': 4}}
data = Processing.processing_update(msg)
expected = {'name': ['alice', 'bob'],
'processing': [2, 1],
'right': [2, 1],
'top': [2, 1],
'bottom': [1, 0],
'ncores': [4, 4],
'alpha': [0.7, 0.7]}
assert data == expected
#!/usr/bin/env python
from __future__ import print_function, division, absolute_import
from bokeh.io import curdoc
from bokeh.layouts import column, row
import distributed.bokeh
from distributed.bokeh.components import Processing, WorkerTable
SIZING_MODE = 'scale_width'
WIDTH = 600
messages = distributed.bokeh.messages # global message store
doc = curdoc()
processing = Processing(sizing_mode=SIZING_MODE, width=WIDTH, height=150)
doc.add_periodic_callback(lambda: processing.update(messages), 200)
worker_table = WorkerTable(sizing_mode=SIZING_MODE,
width=WIDTH,
plot_height=80)
doc.add_periodic_callback(lambda: worker_table.update(messages),
messages['workers']['interval'])
layout = column(row(processing.root, sizing_mode=SIZING_MODE),
row(worker_table.root, sizing_mode=SIZING_MODE),
sizing_mode=SIZING_MODE)
doc.add_root(layout)
#!/usr/bin/env python
from __future__ import print_function, division, absolute_import
from bokeh.io import curdoc
from bokeh.layouts import column, row
import distributed.bokeh
from distributed.bokeh.components import Processing, WorkerTable
SIZING_MODE = 'scale_width'
WIDTH = 600
messages = distributed.bokeh.messages # global message store
doc = curdoc()
processing = Processing(sizing_mode=SIZING_MODE, width=WIDTH, height=150)
doc.add_periodic_callback(lambda: processing.update(messages), 200)
worker_table = WorkerTable(sizing_mode=SIZING_MODE, width=WIDTH, plot_height=80)
doc.add_periodic_callback(lambda: worker_table.update(messages), messages['workers']['interval'])
layout = column(
row(processing.root, sizing_mode=SIZING_MODE),
row(worker_table.root, sizing_mode=SIZING_MODE),
sizing_mode=SIZING_MODE
)
doc.add_root(layout)