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from __future__ import annotations
import os
from time import sleep
import pytest
from tlz import frequencies
from distributed import get_task_stream
from distributed.client import wait
from distributed.diagnostics.task_stream import TaskStreamPlugin
from distributed.metrics import time
from distributed.utils_test import div, gen_cluster, inc, slowinc
@gen_cluster(client=True, nthreads=[("127.0.0.1", 1)] * 3)
async def test_TaskStreamPlugin(c, s, *workers):
es = TaskStreamPlugin(s)
s.add_plugin(es)
assert not es.buffer
futures = c.map(div, [1] * 10, range(10))
total = c.submit(sum, futures[1:])
await wait(total)
assert len(es.buffer) == 11
workers = dict()
rects = es.rectangles(0, 10, workers)
assert workers
assert all(n == "div" for n in rects["name"])
assert all(d > 0 for d in rects["duration"])
counts = frequencies(rects["color"])
assert counts["black"] == 1
assert set(counts.values()) == {9, 1}
assert len(set(rects["y"])) == 3
rects = es.rectangles(2, 5, workers)
assert all(len(L) == 3 for L in rects.values())
starts = sorted(rects["start"])
rects = es.rectangles(
2, 5, workers=workers, start_boundary=(starts[0] + starts[1]) / 2000
)
assert set(rects["start"]).issubset(set(starts[1:]))
@gen_cluster(client=True)
async def test_maxlen(c, s, a, b):
tasks = TaskStreamPlugin(s, maxlen=5)
s.add_plugin(tasks)
futures = c.map(inc, range(10))
await wait(futures)
assert len(tasks.buffer) == 5
@gen_cluster(client=True)
async def test_collect(c, s, a, b):
tasks = TaskStreamPlugin(s)
s.add_plugin(tasks)
start = time()
futures = c.map(slowinc, range(10), delay=0.1)
await wait(futures)
L = tasks.collect()
assert len(L) == len(futures)
L = tasks.collect(start=start)
assert len(L) == len(futures)
L = tasks.collect(start=start + 0.2)
assert 4 <= len(L) <= len(futures)
L = tasks.collect(start="20 s")
assert len(L) == len(futures)
L = tasks.collect(start="500ms")
assert 0 < len(L) <= len(futures)
L = tasks.collect(count=3)
assert len(L) == 3
assert L == list(tasks.buffer)[-3:]
assert tasks.collect(stop=start + 100, count=3) == tasks.collect(count=3)
assert tasks.collect(start=start, count=3) == list(tasks.buffer)[:3]
@gen_cluster(client=True)
async def test_no_startstops(c, s, a, b):
tasks = TaskStreamPlugin(s)
s.add_plugin(tasks)
# just to create the key on the scheduler
future = c.submit(inc, 1)
await wait(future)
assert len(tasks.buffer) == 1
tasks.transition(future.key, "processing", "erred")
# Transition was not recorded because it didn't contain `startstops`
assert len(tasks.buffer) == 1
tasks.transition(future.key, "processing", "erred", startstops=[])
# Transition was not recorded because `startstops` was empty
assert len(tasks.buffer) == 1
tasks.transition(
future.key, "processing", "erred", startstops=[dict(start=time(), stop=time())]
)
assert len(tasks.buffer) == 2
@gen_cluster(client=True)
async def test_client(c, s, a, b):
L = await c.get_task_stream()
assert L == ()
futures = c.map(slowinc, range(10), delay=0.1)
await wait(futures)
tasks = s.plugins[TaskStreamPlugin.name]
L = await c.get_task_stream()
assert L == tuple(tasks.buffer)
def test_client_sync(client):
with get_task_stream(client=client) as ts:
sleep(0.1) # to smooth over time differences on the scheduler
# to smooth over time differences on the scheduler
futures = client.map(inc, range(10))
wait(futures)
assert len(ts.data) == 10
@gen_cluster(client=True)
async def test_get_task_stream_plot(c, s, a, b):
bkm = pytest.importorskip("bokeh.models")
await c.get_task_stream()
futures = c.map(slowinc, range(10), delay=0.1)
await wait(futures)
data, figure = await c.get_task_stream(plot=True)
assert isinstance(figure, bkm.Plot)
def test_get_task_stream_save(client, tmpdir):
bkm = pytest.importorskip("bokeh.models")
tmpdir = str(tmpdir)
fn = os.path.join(tmpdir, "foo.html")
with get_task_stream(plot="save", filename=fn) as ts:
wait(client.map(inc, range(10)))
with open(fn) as f:
data = f.read()
assert "inc" in data
assert "bokeh" in data
assert isinstance(ts.figure, bkm.Plot)
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