Add more comments that explain example & usage

Change-Id: I4665cda50c2bbc8e0e323efb1baff653ace12579
This commit is contained in:
Joshua Harlow 2013-10-11 17:00:25 -07:00
parent bdda31c7f0
commit 2ba6fda3a2
1 changed files with 43 additions and 10 deletions

View File

@ -36,22 +36,59 @@ from taskflow.patterns import unordered_flow as uf
from taskflow import task
from taskflow.utils import reflection
# INTRO: This examples shows how unordered_flow can be used to create a large
# number of fake volumes in parallel (or serially, depending on a constant that
# can be easily changed).
@contextlib.contextmanager
def show_time(name=''):
def show_time(name):
start = time.time()
yield
end = time.time()
print(" -- %s took %0.3f seconds" % (name, end - start))
# This affects how many volumes to create and how much time to *simulate*
# passing for that volume to be created.
MAX_CREATE_TIME = 3
VOLUME_COUNT = 5
# This will be used to determine if all the volumes are created in parallel
# or whether the volumes are created serially (in an undefined ordered since
# a unordered flow is used). Note that there is a disconnection between the
# ordering and the concept of parallelism (since unordered items can still be
# ran in a serial ordering). A typical use-case for offering both is to allow
# for debugging using a serial approach, while when running at a larger scale
# one would likely want to use the parallel approach.
#
# If you switch this flag from serial to parallel you can see the overall
# time difference that this causes.
SERIAL = False
if SERIAL:
engine_conf = {
'engine': 'serial',
}
else:
engine_conf = {
'engine': 'parallel',
}
class VolumeCreator(task.Task):
def __init__(self, volume_id):
# Note here that the volume name is composed of the name of the class
# along with the volume id that is being created, since a name of a
# task uniquely identifies that task in storage it is important that
# the name be relevant and identifiable if the task is recreated for
# subsequent resumption (if applicable).
#
# UUIDs are *not* used as they can not be tied back to a previous tasks
# state on resumption (since they are unique and will vary for each
# task that is created). A name based off the volume id that is to be
# created is more easily tied back to the original task so that the
# volume create can be resumed/revert, and is much easier to use for
# audit and tracking purposes.
base_name = reflection.get_callable_name(self)
super(VolumeCreator, self).__init__(name="%s-%s" % (base_name,
volume_id))
@ -68,17 +105,13 @@ flow = uf.Flow("volume-maker")
for i in range(0, VOLUME_COUNT):
flow.add(VolumeCreator(volume_id="vol-%s" % (i)))
if SERIAL:
engine_conf = {
'engine': 'serial',
}
else:
engine_conf = {
'engine': 'parallel',
}
# Show how much time the overall engine loading and running takes.
with show_time(name=flow.name.title()):
eng = engines.load(flow, engine_conf=engine_conf)
# This context manager automatically adds (and automatically removes) a
# helpful set of state transition notification printing helper utilities
# that show you exactly what transitions the engine is going through
# while running the various volume create tasks.
with printing.PrintingListener(eng):
eng.run()