class CarDetails:
def __init__(self, driver):
self.driver = driver
self.wait = WebDriverWait(self.driver, 15)
# page_objects
self.helper = Helper(self.driver)
def select_car_details(self):
self.wait.until(self.card_to_be_clickable())
self.select_car_usage('Commute to school').click()
self.select_car_usage('Rideshare Driver').click()
self.select_distance_each_way(10).click()
self.select_payment_status('lean').click()
self.select_deductible('full_coverage').click()
self.save_and_continue_button().click()
@staticmethod
def assert_car_detail_form():
return EC.presence_of_element_located(
(By.CSS_SELECTOR, 'form[id="car_details_form"]'))
def select_car_usage(self, car_used_for):
car_usage = self.driver.find_elements_by_css_selector(
'.absolute-checkbox span')
for usage in car_usage:
if usage.text == car_used_for:
return usage
def select_distance_each_way(self, value):
distance = self.driver.find_element_by_css_selector(
'.btn-group > label[data-field="mileage_per_day"]:nth-of-type(' +
str(int(value / 5)) + ')')
return distance
@staticmethod
def card_to_be_clickable():
usage_assertion = EC.element_to_be_clickable(
(By.CSS_SELECTOR, 'a[id="used_for_work"]'))
return usage_assertion
def select_payment_status(self, payment):
payment_status = self.driver.find_element_by_css_selector(
'label[for="car_details_payment_status_' + payment + '_radio"]')
return payment_status
def select_deductible(self, deductible_type):
self.helper.assert_for_presence_of_element(
'label[data-field="deductibles"]:nth-child(1)')
deductible = self.driver.find_element_by_css_selector(
'label[data-analytics-label="' + deductible_type + '"]')
return deductible
def save_and_continue_button(self):
self.helper.assert_for_element_to_be_clickable(
'button[id="car_details_continue_to_driver"]')
move_to_driver_button = self.driver.find_element_by_css_selector(
'button[id="car_details_continue_to_driver"]')
return move_to_driver_button
def __init__(self, driver):
self.driver = driver
self.wait = WebDriverWait(self.driver, 15)
# page_objects
self.helper = Helper(self.driver)
def __init__(self, driver):
self.driver = driver
self.wait = WebDriverWait(self.driver, 15)
self.helper = Helper(self.driver)
]
to_be_deleted = []
for i in cams.keys():
if i not in constants.cams_in_use:
to_be_deleted.append(i)
for i in to_be_deleted:
del cams[i]
# pre-process for the grabbed frames
for i in constants.cams_in_use:
if grabbed[i]:
frames[i] = imutils.resize(frames[i], width=640)
frames[i] = cv2.flip(frames[i], 1)
if helper is None:
h, w, _ = frames[i].shape
helper = Helper(width=w, height=h)
if not init:
# initialize the ordered dicts in the constants module
constants.initialize()
# initialize the centroid tracker
constants.ct.initialize()
init = True
# register the recognized staffs and show their bounding boxes
helper.show_recognized_faces(frames)
# show on the screen yolo bounding boxes that are generated by the pre-trained yolo head model
helper.show_yolo_bboxes(frames)
# track staffs by using detected faces and detected heads centroids
helper.track()