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from __future__ import print_function, division, absolute_import
from collections import defaultdict
import logging
from timeit import default_timer
from toolz import groupby, valmap
from tornado import gen
from .plugin import SchedulerPlugin
from ..utils import key_split, key_split_group, log_errors, tokey
logger = logging.getLogger(__name__)
def dependent_keys(tasks, complete=False):
"""
All keys that need to compute for these keys to finish.
If *complete* is false, omit tasks that are busy processing or
have finished executing.
"""
out = set()
errors = set()
stack = list(tasks)
while stack:
ts = stack.pop()
key = ts.key
if key in out:
continue
if not complete and ts.who_has:
continue
if ts.exception is not None:
errors.add(key)
if not complete:
continue
out.add(key)
stack.extend(ts.dependencies)
return out, errors
class Progress(SchedulerPlugin):
""" Tracks progress of a set of keys or futures
On creation we provide a set of keys or futures that interest us as well as
a scheduler. We traverse through the scheduler's dependencies to find all
relevant keys on which our keys depend. We then plug into the scheduler to
learn when our keys become available in memory at which point we record
their completion.
State
-----
keys: set
Set of keys that are not yet computed
all_keys: set
Set of all keys that we track
This class performs no visualization. However it is used by other classes,
notably TextProgressBar and ProgressWidget, which do perform visualization.
"""
def __init__(self, keys, scheduler, minimum=0, dt=0.1, complete=False):
self.keys = {k.key if hasattr(k, 'key') else k for k in keys}
self.keys = {tokey(k) for k in self.keys}
self.scheduler = scheduler
self.complete = complete
self._minimum = minimum
self._dt = dt
self.last_duration = 0
self._start_time = default_timer()
self._running = False
self.status = None
self.extra = {}
@gen.coroutine
def setup(self):
keys = self.keys
while not keys.issubset(self.scheduler.tasks):
yield gen.sleep(0.05)
tasks = [self.scheduler.tasks[k] for k in keys]
self.keys = None
self.scheduler.add_plugin(self) # subtle race condition here
self.all_keys, errors = dependent_keys(tasks, complete=self.complete)
if not self.complete:
self.keys = self.all_keys.copy()
else:
self.keys, _ = dependent_keys(tasks, complete=False)
self.all_keys.update(keys)
self.keys |= errors & self.all_keys
if not self.keys:
self.stop(exception=None, key=None)
logger.debug("Set up Progress keys")
for k in errors:
self.transition(k, None, 'erred', exception=True)
def transition(self, key, start, finish, *args, **kwargs):
if key in self.keys and start == 'processing' and finish == 'memory':
logger.debug("Progress sees key %s", key)
self.keys.remove(key)
if not self.keys:
self.stop()
if key in self.all_keys and finish == 'erred':
logger.debug("Progress sees task erred")
self.stop(exception=kwargs['exception'], key=key)
if key in self.keys and finish == 'forgotten':
logger.debug("A task was cancelled (%s), stopping progress", key)
self.stop(exception=True)
def restart(self, scheduler):
self.stop()
def stop(self, exception=None, key=None):
if self in self.scheduler.plugins:
self.scheduler.plugins.remove(self)
if exception:
self.status = 'error'
self.extra.update({'exception': self.scheduler.exceptions[key],
'key': key})
else:
self.status = 'finished'
logger.debug("Remove Progress plugin")
class MultiProgress(Progress):
""" Progress variant that keeps track of different groups of keys
See Progress for most details. This only adds a function ``func=``
that splits keys. This defaults to ``key_split`` which aligns with naming
conventions chosen in the dask project (tuples, hyphens, etc..)
State
-----
keys: dict
Maps group name to set of not-yet-complete keys for that group
all_keys: dict
Maps group name to set of all keys for that group
Examples
--------
>>> split = lambda s: s.split('-')[0]
>>> p = MultiProgress(['y-2'], func=split) # doctest: +SKIP
>>> p.keys # doctest: +SKIP
{'x': {'x-1', 'x-2', 'x-3'},
'y': {'y-1', 'y-2'}}
"""
def __init__(self, keys, scheduler=None, func=key_split, minimum=0, dt=0.1,
complete=False):
self.func = func
Progress.__init__(self, keys, scheduler, minimum=minimum, dt=dt,
complete=complete)
@gen.coroutine
def setup(self):
keys = self.keys
while not keys.issubset(self.scheduler.tasks):
yield gen.sleep(0.05)
tasks = [self.scheduler.tasks[k] for k in keys]
self.keys = None
self.scheduler.add_plugin(self) # subtle race condition here
self.all_keys, errors = dependent_keys(tasks, complete=self.complete)
if not self.complete:
self.keys = self.all_keys.copy()
else:
self.keys, _ = dependent_keys(tasks, complete=False)
self.all_keys.update(keys)
self.keys |= errors & self.all_keys
if not self.keys:
self.stop(exception=None, key=None)
# Group keys by func name
self.keys = valmap(set, groupby(self.func, self.keys))
self.all_keys = valmap(set, groupby(self.func, self.all_keys))
for k in self.all_keys:
if k not in self.keys:
self.keys[k] = set()
for k in errors:
self.transition(k, None, 'erred', exception=True)
logger.debug("Set up Progress keys")
def transition(self, key, start, finish, *args, **kwargs):
if start == 'processing' and finish == 'memory':
s = self.keys.get(self.func(key), None)
if s and key in s:
s.remove(key)
if not self.keys or not any(self.keys.values()):
self.stop()
if finish == 'erred':
logger.debug("Progress sees task erred")
k = self.func(key)
if (k in self.all_keys and key in self.all_keys[k]):
self.stop(exception=kwargs.get('exception'), key=key)
if finish == 'forgotten':
k = self.func(key)
if k in self.all_keys and key in self.all_keys[k]:
logger.debug("A task was cancelled (%s), stopping progress", key)
self.stop(exception=True)
def format_time(t):
"""Format seconds into a human readable form.
>>> format_time(10.4)
'10.4s'
>>> format_time(1000.4)
'16min 40.4s'
>>> format_time(100000.4)
'27hr 46min 40.4s'
"""
m, s = divmod(t, 60)
h, m = divmod(m, 60)
if h:
return '{0:2.0f}hr {1:2.0f}min {2:4.1f}s'.format(h, m, s)
elif m:
return '{0:2.0f}min {1:4.1f}s'.format(m, s)
else:
return '{0:4.1f}s'.format(s)
class AllProgress(SchedulerPlugin):
""" Keep track of all keys, grouped by key_split """
def __init__(self, scheduler):
self.all = defaultdict(set)
self.nbytes = defaultdict(lambda: 0)
self.state = defaultdict(lambda: defaultdict(set))
self.scheduler = scheduler
for ts in self.scheduler.tasks.values():
key = ts.key
prefix = ts.prefix
self.all[prefix].add(key)
self.state[ts.state][prefix].add(key)
if ts.nbytes is not None:
self.nbytes[prefix] += ts.nbytes
scheduler.add_plugin(self)
def transition(self, key, start, finish, *args, **kwargs):
ts = self.scheduler.tasks[key]
prefix = ts.prefix
self.all[prefix].add(key)
try:
self.state[start][prefix].remove(key)
except KeyError: # TODO: remove me once we have a new or clean state
pass
if start == 'memory':
# XXX why not respect DEFAULT_DATA_SIZE?
self.nbytes[prefix] -= ts.nbytes or 0
if finish == 'memory':
self.nbytes[prefix] += ts.nbytes or 0
if finish != 'forgotten':
self.state[finish][prefix].add(key)
else:
s = self.all[prefix]
s.remove(key)
if not s:
del self.all[prefix]
self.nbytes.pop(prefix, None)
for v in self.state.values():
v.pop(prefix, None)
def restart(self, scheduler):
self.all.clear()
self.state.clear()
class GroupProgress(SchedulerPlugin):
""" Keep track of all keys, grouped by key_split """
def __init__(self, scheduler):
self.scheduler = scheduler
self.keys = dict()
self.groups = dict()
self.nbytes = dict()
self.durations = dict()
self.dependencies = defaultdict(set)
self.dependents = defaultdict(set)
for key, ts in self.scheduler.tasks.items():
k = key_split_group(key)
if k not in self.groups:
self.create(key, k)
self.keys[k].add(key)
self.groups[k][ts.state] += 1
if ts.state == 'memory' and ts.nbytes is not None:
self.nbytes[k] += ts.nbytes
scheduler.add_plugin(self)
def create(self, key, k):
with log_errors():
ts = self.scheduler.tasks[key]
g = {'memory': 0, 'erred': 0, 'waiting': 0,
'released': 0, 'processing': 0}
self.keys[k] = set()
self.groups[k] = g
self.nbytes[k] = 0
self.durations[k] = 0
self.dependents[k] = {key_split_group(dts.key)
for dts in ts.dependents}
for dts in ts.dependencies:
d = key_split_group(dts.key)
self.dependents[d].add(k)
self.dependencies[k].add(d)
def transition(self, key, start, finish, *args, **kwargs):
with log_errors():
ts = self.scheduler.tasks[key]
k = key_split_group(key)
if k not in self.groups:
self.create(key, k)
g = self.groups[k]
if key not in self.keys[k]:
self.keys[k].add(key)
else:
g[start] -= 1
if finish != 'forgotten':
g[finish] += 1
else:
self.keys[k].remove(key)
if not self.keys[k]:
del self.groups[k]
del self.nbytes[k]
for dep in self.dependencies.pop(k):
self.dependents[key_split_group(dep)].remove(k)
if start == 'memory' and ts.nbytes is not None:
self.nbytes[k] -= ts.nbytes
if finish == 'memory' and ts.nbytes is not None:
self.nbytes[k] += ts.nbytes
def restart(self, scheduler):
self.keys.clear()
self.groups.clear()
self.nbytes.clear()
self.durations.clear()
self.dependencies.clear()
self.dependents.clear()
|
