# start generating result
res = {
'options': options.__dict__,
'scenarios': []
}
# set the seed to random in order to get consistent results
for random_seed in random_seeds:
random.seed(random_seed)
pregen_data = pregenerate(
slot_qty,
bidder_qty,
bid_qty,
slot_duration_max,
advert_duration_max,
slot_price_steps,
advert_price_max,
campaign_min_prio_range
)
for distribution in distributions:
res_dist = generateScenario(pregen_data)
res['scenarios'].append(res_dist)
# print scenarios to stdout
print json.encode(res['scenarios'])
# and options for reference to stderr
print >> sys.stderr, json.encode(res['options'])
return res
if __name__ == "__main__":
import sys
import os
import optparse
sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), ".."))
from tvauction.common import json, convertToNamedTuples
log_level = int(os.environ["LOG_LEVEL"]) if "LOG_LEVEL" in os.environ else logging.WARN
logging.basicConfig(level=log_level)
parser = optparse.OptionParser()
parser.set_usage("%prog [options] < scenarios.json")
if sys.stdin.isatty():
print parser.format_help()
sys.exit()
for option in parser.option_list:
if option.default != ("NO", "DEFAULT"):
option.help += (" " if option.help else "") + "[default: %default]"
options = parser.parse_args(sys.argv)[0]
scenarios = json.decode(sys.stdin.read())
# convert
for scenario in scenarios:
convertToNamedTuples(scenario)
res = analyze(scenario)
print json.encode(res)
