def test_10_empty_Nfs_SysIp(self):
driver1 = self.driver1
memory = "40"
core = "90"
myurl = Myurl(self.driver1)
myurl.access_url()
# self.driver1.get("http://35.165.255.128:3010/users/login")
sleep(2)
cookies = pickle.load(open("cookies.pkl", "rb"))
# print("get cookie vlaues ", cookies)
sleep(1)
for cookie_dict in cookies:
driver1.add_cookie(cookie_dict)
# print("this is for loop")
# self.driver1.get("http://35.165.255.128:3010/accessUI/5c7e501310ec7c705d33423c")
myurl.acces_user()
raptui = RaptUi(driver1)
raptui.T_Flow()
print("Selected Tensorflow")
sleep(1)
# tensorflow.inception()
inception = self.driver1.find_element_by_xpath(
"//*[@class='card-body text-center font-weight-normal btnNext']")
# inception = self.driver1.find_elements_by_xpath("(//*[@class='card border border-primary'])[0]")
inception.click()
sleep(1)
raptui.Nfs()
sysip = ""
path = "/home/ubuntu/tensorflow-UI"
print("Nfs selected")
raptui.NfsSysIp(sysip)
sleep(1)
raptui.NfsPath(path)
sleep(1)
raptui.Gpu()
sleep(1)
raptui.Auto()
sleep(1)
print("Your selected Auto")
raptui.Setupbtn()
sleep(3)
# -------- Alert start ----------------
# Switch the control to the Alert window
obj = driver1.switch_to.alert
sleep(2)
# Retrieve the message on the Alert window
msg = obj.text
print("Alert shows following message: " + msg)
sleep(2)
# use the accept() method to accept the alert
obj.accept()
sleep(5)
# ------------ Alert end -------------
try:
pass
except Exception as e:
print("Exception Occurred :" + str(e))
def test_13_Invalid_Nfs_Path(self):
driver1 = self.driver1
memory = "60"
core = "90"
myurl = Myurl(self.driver1)
myurl.access_url()
# self.driver1.get("http://35.165.255.128:3010/users/login")
sleep(2)
cookies = pickle.load(open("cookies.pkl", "rb"))
# print("get cookie vlaues ", cookies)
sleep(1)
for cookie_dict in cookies:
driver1.add_cookie(cookie_dict)
# print("this is for loop")
# self.driver1.get("http://35.165.255.128:3010/accessUI/5c7e501310ec7c705d33423c")
myurl.acces_user()
raptui = RaptUi(driver1)
raptui.T_Flow()
print("Selected Tensorflow")
sleep(1)
# tensorflow.inception()
inception = self.driver1.find_element_by_xpath(
"//*[@class='card-body text-center font-weight-normal btnNext']")
# inception = self.driver1.find_elements_by_xpath("(//*[@class='card border border-primary'])[0]")
inception.click()
sleep(1)
raptui.Nfs()
sysip = "52.32.163.231"
exppath = "/home/ubuntu/tensorflow-UI"
path = "/home/ubuntu/tensorflow"
print("Nfs selected")
raptui.NfsSysIp(sysip)
sleep(1)
raptui.NfsPath(path)
sleep(1)
raptui.Gpu()
sleep(1)
raptui.Auto()
sleep(1)
print("Your selected Auto")
raptui.Setupbtn()
sleep(3)
self.assertEqual(exppath, path, "Invalid NFS Path")
try:
pass
except Exception as e:
print("Exception Occurred :" + str(e))
def test_09_Valid_Nfs(self):
driver1 = self.driver1
sysip = "52.32.163.231"
myurl = Myurl(self.driver1)
myurl.access_url()
#self.driver1.get("http://35.165.255.128:3010/users/login")
sleep(2)
cookies = pickle.load(open("cookies.pkl", "rb"))
# print("get cookie vlaues ", cookies)
sleep(1)
for cookie_dict in cookies:
driver1.add_cookie(cookie_dict)
# print("this is for loop")
#self.driver1.get("http://35.165.255.128:3010/accessUI/5c7e501310ec7c705d33423c")
myurl.acces_user()
raptui = RaptUi(driver1)
raptui.T_Flow()
print("Selected Tensorflow")
sleep(1)
# tensorflow.inception()
inception = self.driver1.find_element_by_xpath(
"//*[@class='card-body text-center font-weight-normal btnNext']")
# inception = self.driver1.find_elements_by_xpath("(//*[@class='card border border-primary'])[0]")
inception.click()
sleep(1)
raptui.Nfs()
path = "/home/ubuntu/tensorflow-UI"
print("Nfs selected")
raptui.NfsSysIp(sysip)
sleep(1)
raptui.NfsPath(path)
sleep(1)
raptui.Gpu()
sleep(1)
raptui.Auto()
sleep(1)
print("Your selected Auto")
raptui.Setupbtn()
sleep(23)
traindir = self.driver1.find_element(By.ID, 'traindirectory')
trdirectory = Select(traindir)
trdirectory.select_by_visible_text("Mnist_classification")
sleep(2)
trinfile = self.driver1.find_element(By.ID, 'file_name')
trfile = Select(trinfile)
trfile.select_by_visible_text("mnist_gpu.py")
sleep(2)
raptui.Train()
sleep(2)
# textpath = self.driver1.find_element_by_id("textVal")
# textpath.clear()
# flowerpath = "python /s3mount/tensorflow-UI-less/training/flower_classification/retrain-new.py --model_dir=/s3mount/tensorflow-UI-less/inception --image_dir /s3mount/tensorflow-UI-less/datasets/flower_photos --bottleneck_dir=/s3mount/tensorflow-UI-less/datasets/bottlenecks-new --how_many_training_steps 50"
# textpath.send_keys(flowerpath)
sleep(2)
raptui.TrainButton()
sleep(30)
gpuTime = driver1.find_elements_by_id("gputime")
for GpuUsage in gpuTime:
assert isinstance(GpuUsage.text, object)
print("Gpu Usage : ", str(GpuUsage.text))
sleep(30)
# --------Elapsed Time -------------------
myElem = self.driver1.find_element_by_id("elapsedTime")
myElem.click()
sleep(2)
assert isinstance(myElem.text, object)
print("Mnist Auto -", str(myElem.text))
try:
pass
except Exception as e:
print("Exception Occurred :" + str(e))