def test_14_empty_train_file(self):
driver1 = self.driver1
memory = "40"
core = "90"
myurl = Myurl(self.driver1)
myurl.access_url()
#self.driver1.get("http://54.201.43.175:3010/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://54.201.43.175:3010/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.Localfolder()
path = "/mnt/rapt/tensorflow-UI"
sleep(1)
raptui.set_localpath(path)
sleep(1)
print("Your given path ", path)
raptui.Gpu()
sleep(1)
raptui.Auto()
sleep(1)
print("Your selected Auto")
# memoryper = self.driver1.find_element(By.ID, 'gpupercent0')
#memoryper.send_keys(memory)
#sleep(1)
#print("Memory percentage :", memory)
#coreper = self.driver1.find_element(By.ID, 'gpuvalue0')
#coreper.send_keys(core)
#sleep(1)
#print("Core percentage :", core)
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("Select File")
sleep(2)
nextbtn = self.driver1.find_element_by_xpath(
"//*[@class='btnTrain btn btn-secondary float-lg-right ml-2']")
nextbtn.click()
# -------- 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(3)
# ------------ Alert end -------------
#raptui.Train()
sleep(1)
#raptui.TrainButton()
sleep(5)
try:
pass
except Exception as e:
print("Exception Occurred :" + str(e))
def test_16_Invalid_train_path(self):
driver1 = self.driver1
memory = "40"
core = "90"
myurl = Myurl(self.driver1)
myurl.access_url()
#self.driver1.get("http://54.201.43.175:3010/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://54.201.43.175:3010/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.Localfolder()
path = "/mnt/rapt/tensorflow-UI"
sleep(1)
raptui.set_localpath(path)
sleep(1)
print("Your given path ", path)
raptui.Gpu()
sleep(1)
raptui.Auto()
sleep(1)
print("Your selected Auto")
# memoryper = self.driver1.find_element(By.ID, 'gpupercent0')
# memoryper.send_keys(memory)
# sleep(1)
# print("Memory percentage :", memory)
# coreper = self.driver1.find_element(By.ID, 'gpuvalue0')
# coreper.send_keys(core)
# sleep(1)
# print("Core percentage :", core)
raptui.Setupbtn()
sleep(24)
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)
nextbtn = self.driver1.find_element_by_xpath(
"//*[@class='btnTrain btn btn-secondary float-lg-right ml-2']")
nextbtn.click()
sleep(2)
txttrain = self.driver1.find_element(By.ID, 'textVal')
txttrain.clear()
sleep(1)
exppath = "python -u /tensorflow/training/Mnist_classification/mnist_gpu.py"
path = "python -u /tensorflow/training/Mnist_classification/mnistgpu.py"
path = txttrain.send_keys(path)
sleep(2)
self.assertEqual(exppath, path, "Please enter valid path")
#Train = self.driver1.find_element(By.ID, 'train_id')
#Train.click()
sleep(2)
try:
pass
except Exception as e:
print("Exception Occurred :" + str(e))