def dispatch(self):
kldms = self.fetch_kldms()
if len(kldms) == 2:
self.kldms = kldms
# data_tmp = {'wclx': 1, 'score': 0, 'bkcc': 1, 'kldm': 1, 'years': 15, 'type': 'score'}
for kldm in self.kldms:
self.minscore[str(kldm)] = -1
if self.recover:
with open(self.prefix + '_undo_jobs_old', 'r') as job_saver:
job_saver = LinkSaver(self.prefix + '_undo_jobs_old', 'r')
lines = job_saver.readlines()
job_saver.close()
for l in lines:
self.add_main_job(eval(l))
print 'recover %d jobs' % len(lines)
else:
bkccs = [1, 2] # 本科,专科
for kldm in self.kldms:
for bkcc in bkccs:
for score in range(self.highscore, -1, -1):
data = {
'wclx': 1,
'score': score,
'bkcc': bkcc,
'kldm': kldm,
'years': 15
}
self.add_main_job({'data': data, 'type': 'score'})
time.sleep(2)
self.wait_q()
self.add_job(None)
def dispatch(self):
kldms = self.fetch_kldms()
if len(kldms) == 2:
self.kldms[0] = str(kldms[0])
self.kldms[1] = str(kldms[1])
# data_tmp = {'wclx': 1, 'score': 0, 'bkcc': 1, 'kldm': 1, 'years': 15, 'type': 'score'}
for kldm in self.kldms:
self.min_score_arr[str(kldm)] = -1
if self.recover:
job_saver = LinkSaver(self.prefix + '_undo_jobs_old', 'r')
lines = job_saver.readlines()
job_saver.close()
for l in lines:
self.add_main_job(eval(l.strip()))
print 'recover %d jobs' % len(lines)
else:
bkccs = [1, 2] # 本科,专科
mid_score = self.min_score + (self.highscore -
self.min_score) * 3 / 4
for score in range(
0,
max(self.highscore - mid_score,
mid_score - self.min_score)):
up_score = mid_score + score
down_score = mid_score - score - 1
for kldm in self.kldms:
for bkcc in bkccs:
if up_score <= self.highscore:
data = {
'wclx': 1,
'score': up_score,
'bkcc': bkcc,
'kldm': kldm,
'years': 15
}
self.add_main_job({'data': data, 'type': 'score'})
if down_score >= self.min_score and down_score > 0:
data = {
'wclx': 1,
'score': down_score,
'bkcc': bkcc,
'kldm': kldm,
'years': 15
}
self.add_main_job({'data': data, 'type': 'score'})
time.sleep(2)
self.wait_q()
self.add_job(None)