def run_ntc_test(self, browser, data, temp_dir, grid_number):
dashboard = DashBoardPage(browser).open()
take_screenshot(browser, "dashboard")
ntc_tab = dashboard.select_ntc_tab()
take_screenshot(browser, "NTC_tab_before_search")
ntc_tab.clear()
ntc_tab.set_date(data.date)
if len(data.transits) == 1 and data.transits[0] == 'all':
ntc_tab.select_all_transits()
else:
for transit in data.transits:
ntc_tab.select_transit(transit)
if data.book != "":
ntc_tab.select_book(data.book)
if data.parallel_mode.lower() == 'true':
ntc_tab.select_parallel_mode()
dashboard.search_no_wait()
take_screenshot(browser, "NTC_tab_after_search")
ntc_tab.download_csv(grid_number)
actual_file = path.realpath(path.join(temp_dir, "export.csv"))
wait_until_file_exists(actual_file)
self.reporter = GenericDiffReporterFactory().get_first_working()
verify_file(actual_file)
def run_balance_sheet_test(self, browser, data, temp_dir):
dashboard = DashBoardPage(browser).open()
take_screenshot(browser, "dashboard")
balance_sheet_tab = dashboard.select_balance_sheet_tab()
take_screenshot(browser, "Balance_sheet_tab_before_search")
balance_sheet_tab.clear()
balance_sheet_tab.set_date(data.date)
for transit in data.transits:
balance_sheet_tab.select_transit(transit)
balance_sheet_tab.select_book(data.book)
if data.parallel_mode.lower() == 'true':
balance_sheet_tab.select_parallel_mode()
dashboard.search()
take_screenshot(browser, "Balance_sheet_tab__after_search")
balance_sheet_tab.unpivot_grid(1)
balance_sheet_tab.download_csv_1()
actual_file = path.realpath(path.join(temp_dir, "export.csv"))
wait_until_file_exists(actual_file)
self.reporter = GenericDiffReporterFactory().get_first_working()
verify_file(actual_file)
def run_detail_test(self, browser, data, temp_dir, grid_number):
dashboard = DashBoardPage(browser).open()
take_screenshot(browser, "dashboard")
detail_tab = dashboard.select_detail_tab()
take_screenshot(browser,
"detail_tab_before_search_grid_" + str(grid_number))
# for transit in data.transits:
# dashboard.select_transit(transit)
detail_tab.search_for_book(data)
take_screenshot(browser,
"detail_tab_after_search_grid_" + str(grid_number))
# unpivot only for 2-nd and 3-rd grids
if grid_number != 1:
detail_tab.unpivot_grid(grid_number - 1)
if grid_number == 1:
detail_tab.download_csv_1()
elif grid_number == 2:
detail_tab.download_csv_2()
else:
detail_tab.download_csv_3()
actual_file = path.realpath(path.join(temp_dir, "export.csv"))
wait_until_file_exists(actual_file)
self.reporter = GenericDiffReporterFactory().get_first_working()
verify_file(actual_file)
def run_management_view_test(self, browser, data, temp_dir):
dashboard = DashBoardPage(browser).open()
take_screenshot(browser, "dashboard")
management_view_tab = dashboard.select_management_view_tab()
take_screenshot(browser, "Management_View_tab_before_search")
management_view_tab.set_date(data.date)
management_view_tab = dashboard.select_management_view_tab()
take_screenshot(browser, "Management_View_tab__after_search")
management_view_tab.download_csv_1_long()
actual_file = path.realpath(path.join(temp_dir, "management-report.csv"))
wait_until_file_exists(actual_file)
self.reporter = GenericDiffReporterFactory().get_first_working()
verify_file(actual_file)
def run_position_test(self, browser, data, temp_dir, grid_number):
dashboard = DashBoardPage(browser).open()
take_screenshot(browser, "dashboard")
position_tab = dashboard.select_position_tab()
take_screenshot(browser,
str(grid_number) + " grid. position_tab_before_search")
position_tab.clear()
position_tab.set_date(data.date)
if len(data.transits) == 1 and data.transits[0] == 'all':
position_tab.select_all_transits()
else:
for transit in data.transits:
position_tab.select_transit(transit)
if data.book != "":
position_tab.select_book(data.book)
if data.parallel_mode.lower() == 'true':
position_tab.select_parallel_mode()
dashboard.search_long()
take_screenshot(browser,
str(grid_number) + " grid. position_tab__after_search")
if grid_number == 2:
position_tab.load_second_grid()
position_tab.unpivot_grid(grid_number)
if grid_number == 1:
position_tab.download_csv_1()
elif grid_number == 2:
position_tab.download_csv_2()
actual_file = path.realpath(path.join(temp_dir, "export.csv"))
wait_until_file_exists(actual_file)
self.reporter = GenericDiffReporterFactory().get_first_working()
verify_file(actual_file)
def test_dashboard_3(self, temp_dir, browser):
data = DataBuilder().get_default_data()
data.date = "2017-03-31"
data.transits = ["95307"]
dashboard = DashBoardPage(browser).open()
take_screenshot(browser, "dashboard")
dashboard.clear()
dashboard.set_date(data.date)
for transit in data.transits:
dashboard.select_transit(transit)
dashboard.search()
dashboard.download_csv_1()
actual_file = path.realpath(path.join(temp_dir, "export.csv"))
wait_until_file_exists(actual_file)
data = "sfsdfsdf\ndfsdsdf\nsdfsdfsdfs\n"
self.reporter = GenericDiffReporterFactory().get_first_working()
verify(data)
def run_dashboard_test(self, browser, data, temp_dir, test_num):
str_path_expected = self.get_path("dashboard/expected/export_" +
str(test_num) + ".csv")
dashboard = DashBoardPage(browser).open()
take_screenshot(browser, "dashboard")
dashboard.clear()
dashboard.set_date(data.date)
for transit in data.transits:
dashboard.select_transit(transit)
dashboard.search()
dashboard.download_csv_1()
files_match = self.downloaded_file_matches(temp_dir, str_path_expected)
return files_match
def run_test_from_config(self, browser, temp_dir, config,
str_path_expected, config_number):
dashboard = DashBoardPage(browser)
dashboard.clear()
dashboard.set_date(config['test_date'])
for tran in config['transits']:
dashboard.select_transit(tran)
dashboard.search()
dashboard.download_csv_1()
files_match = self.downloaded_file_matches(temp_dir, str_path_expected)
return files_match
def test_dashboard_csv(self, temp_dir, browser):
DashBoardPage(browser).open()
take_screenshot(browser, "dashboard")
assert (self.run_all_tests(browser, temp_dir))