def createOne(self, mids):
if not type(mids) == list:
mids = [mids]
url = "https://api.vultr.com/v1/server/create"
serverId = None
for mid in mids:
name = hostGroup + "-" + str(mid)
argvs = {
"DCID": 19,
"OSID": 160,
"VPSPLANID": 29,
"SCRIPTID": self.SCRIPTID,
"SSHKEYID": self.SSHKEYID,
"hostname": name,
"label": name
}
res = requests.post(url,
headers=self.api,
data=argvs,
proxies=self.proxies)
if res.status_code != 200:
log = "create server " + name + " failed, " + res.text
logging("e", log)
else:
serverId = res.json()["SUBID"]
log = "server " + name + " created, its id is " + serverId
logging("i", log)
return serverId
def destroyMe(self):
hostId = self.name.split("-")[-1]
serverId, hostname = self.getOneId(hostId)
if not serverId:
log = "can not find you, misson failed"
logging("e", log)
return
else:
sd = self.destroyOne(hostId)
return sd
def updateScript(self):
url = "https://api.vultr.com/v1/startupscript/update"
with open("vultr.sh", "r") as f:
script = f.read()
data = {"SCRIPTID": self.SCRIPTID, "name": "default", "script": script}
res = requests.post(url,
headers=self.api,
proxies=self.proxies,
data=data)
if res.status_code == 200:
log = str(self.SCRIPTID) + " updated"
logging("i", log)
else:
print res.status_code
def rebootOne(self, mids):
if not type(mids) == list:
mids = [mids]
result = None
for mid in mids:
serverId, hostname = self.getOneId(mid)
url = "https://api.vultr.com/v1/server/reboot"
data = {"SUBID": serverId}
res = requests.post(url,
headers=self.api,
proxies=self.proxies,
data=data)
if res.status_code == 200:
log = hostname + " rebooted"
logging("i", log)
result = True
else:
log = "Failed, status code: " + str(res.status_code)
return result
end = time.time()
delta_time = end - start
print('epoch ' + str(epoch + 1) + ' needs time:' +
str(delta_time) + ' s')
if (epoch + 1) % 10 == 0:
checkpoint_path = os.path.join(savedir, 'model.ckpt')
saver.save(sess, checkpoint_path,
global_step=epoch) # 第三个参数将训练的次数作为后缀加入到模型名字中
print('Model has been saved in {}'.format(savedir))
train_epochER = train_batchErrors.sum() / train_step_num
logging(config,
logfile,
train_epochER,
epoch,
delta_time,
mode1=mode)
logging_total_acc(logfile, train_epochER, 'train')
# training*****************************************************************************
# # ************************ test ***************************************************
start = time.time()
for step in range(test_step_num):
summary, acc, los = sess.run([merged, accuracy, loss],
feed_dict={is_training: False})
test_batchErrors[step] = acc # 用于统计最后的Epoch er
test_batchLoss[step] = los
print("step: ", step + 1, 'accuracy: ', acc)