def main():
examples = parse_examples()
services = {s: Heuristic(s) for s in get_all_service_names()}
step_size = float(FIRST_STEP_SIZE)
services_to_step = climbing(examples, services, int(step_size))
counter = 0
while len(services_to_step):
if step_size != 1.0:
step_size -= 0.5
counter += 1
sys.stdout.flush()
services_to_step = climbing(examples, services, int(step_size))
# Write to file after so many steps, that way we don't lose
# progress if we end early.
if counter == STEPS_BETWEEN_WRITES or not len(services_to_step):
counter = 0
for name, heuristic in services.iteritems():
fname = path.realpath(
path.join(
path.dirname(__file__),
'climbed_values',
name + '_climbed_values.txt'))
heuristic.write_to_file(fname)
print "Success! You did it! Hills have been climbed!"
def process(cls, params):
# Get the names of potentially relevant services
service_names = get_all_service_names()
features = params['features']
client = params['client']
request_type = (features['questionType'] if 'questionType' in features
else features['actionType'])
key = client, request_type
if key not in cls._CACHE:
service_names = filter(
lambda service: get_service_by_name(service)
.applies_to_me(*key),
service_names)
cls._CACHE[key] = service_names
else:
service_names = cls._CACHE[key]
# Pick the service with the highest confidence
conf_levels = {service_name: get_service_by_name(service_name)
.get_confidence(params)
for service_name in service_names}
params['confidences'] = conf_levels
params['service'] = (max(conf_levels, key=conf_levels.get) if
max(conf_levels.itervalues()) > 0 else None)