def runmatches(confrontations=confrontations_by_strategy(), min_matches=config.min_matches,
matches_missing=0, matchduration=config.duration):
"""confrontations with the matches that have to be run
confrontations - confrontations to be runned
min_matches - minimum number of matches per confrontation
matches_missing - if the total number of matches missing is supplied prints
the progress
"""
if matches_missing:
matches_played=0
for fcpD_vs_opp in confrontations:
# play the required number of matches
n_played_matches=len(fcpD_vs_opp)
dbgmsg="{2} - {0} of {1} matches played."
logging.debug(dbgmsg.format(n_played_matches,min_matches,fcpD_vs_opp))
while n_played_matches < min_matches:
dbgmsg="{2} - {0} of {1} matches played, playing new match."
logging.debug(dbgmsg.format(n_played_matches, min_matches,
fcpD_vs_opp))
statusclient.live(delta=config.duration.seconds,
criticaldelta=config.duration.seconds*2)
fcpD_vs_opp.playnewmatch()
statusclient.live()
if matches_missing:
# update the counter...
matches_played+=1
print_progress(matches_played, matches_missing,
matchduration=matchduration)
n_played_matches=len(fcpD_vs_opp)
def main():
statusclient.live()
for generation_type in config.generation_types:
if generation_type is GenerationType.DecisionTree:
cfs=list(confrontations_by_decisiontree())
naive_prediction=naive_prediction_for_decisiontree
elif generation_type is GenerationType.Strategy:
cfs=list(confrontations_by_strategy())
naive_prediction=naive_prediction_for_strategy
elif generation_type is GenerationType.ControlGroup:
cfs=list(confrontations_controlgroup())
naive_prediction=naive_prediction_for_controlgroup
else:
print generation_type, "is", GenerationType.DecisionTree, (generation_type is
GenerationType.DecisionTree)
print generation_type, "is", GenerationType.Strategy, (generation_type is
GenerationType.Strategy)
print generation_type, "is", GenerationType.ControlGroup, (generation_type is
GenerationType.ControlGroup)
assert False, "this is not meant to happen..."
outmsg="GENERATING MATCHES OF TYPE {0}".format(generation_type)
print outmsg
logging.info(outmsg)
(nmatches, naive_duration, naive_size)=naive_prediction()
naive_prediction_msg="naive prediction: {1} runs, {0} duration".format(naive_duration, nmatches)
print naive_prediction_msg
logging.info(naive_prediction_msg)
(nmatches_missing, duration, size)=smart_prediction(cfs)
print "{0} expected duration time.".format(duration)
print "{0} expected size.".format(human_size(size))
finish=datetime.datetime.now()+duration
expected_finish_str="expected to finish @ {0}".format(finish)
print expected_finish_str
logging.info(expected_finish_str)
report.report("upload",passwd=passwd)
runmatches(cfs,matches_missing=nmatches_missing)
statusclient.finish()
