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Python InstructorDashboardPage.select_data_download方法代码示例

本文整理汇总了Python中common.test.acceptance.pages.lms.instructor_dashboard.InstructorDashboardPage.select_data_download方法的典型用法代码示例。如果您正苦于以下问题:Python InstructorDashboardPage.select_data_download方法的具体用法?Python InstructorDashboardPage.select_data_download怎么用?Python InstructorDashboardPage.select_data_download使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在common.test.acceptance.pages.lms.instructor_dashboard.InstructorDashboardPage的用法示例。


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示例1: CohortConfigurationTest

# 需要导入模块: from common.test.acceptance.pages.lms.instructor_dashboard import InstructorDashboardPage [as 别名]
# 或者: from common.test.acceptance.pages.lms.instructor_dashboard.InstructorDashboardPage import select_data_download [as 别名]

#.........这里部分代码省略.........
        self.assertEqual(message, self.cohort_management_page.assignment_settings_message)

    def test_cohort_enable_disable(self):
        """
        Scenario: Cohort Enable/Disable checkbox related functionality is working as intended.

        Given I have a cohorted course with a user.
        And I can see the `Enable Cohorts` checkbox is checked.
        And cohort management controls are visible.
        When I uncheck the `Enable Cohorts` checkbox.
        Then cohort management controls are not visible.
        And When I reload the page.
        Then I can see the `Enable Cohorts` checkbox is unchecked.
        And cohort management controls are not visible.
        """
        self.assertTrue(self.cohort_management_page.is_cohorted)
        self.assertTrue(self.cohort_management_page.cohort_management_controls_visible())
        self.cohort_management_page.is_cohorted = False
        self.assertFalse(self.cohort_management_page.cohort_management_controls_visible())
        self.browser.refresh()
        self.cohort_management_page.wait_for_page()
        self.assertFalse(self.cohort_management_page.is_cohorted)
        self.assertFalse(self.cohort_management_page.cohort_management_controls_visible())

    def test_link_to_data_download(self):
        """
        Scenario: a link is present from the cohort configuration in
        the instructor dashboard to the Data Download section.

        Given I have a course with a cohort defined
        When I view the cohort in the LMS instructor dashboard
        There is a link to take me to the Data Download section of the Instructor Dashboard.
        """
        self.cohort_management_page.select_data_download()
        data_download_page = DataDownloadPage(self.browser)
        data_download_page.wait_for_page()

    def test_cohort_by_csv_both_columns(self):
        """
        Scenario: the instructor can upload a file with user and cohort assignments, using both emails and usernames.

        Given I have a course with two cohorts defined
        When I go to the cohort management section of the instructor dashboard
        I can upload a CSV file with assignments of users to cohorts via both usernames and emails
        Then I can download a file with results
        And appropriate events have been emitted
        """
        csv_contents = [
            ['username', 'email', 'ignored_column', 'cohort'],
            [self.instructor_name, '', 'June', 'ManualCohort1'],
            ['', self.student_email, 'Spring', 'AutoCohort1'],
            [self.other_student_name, '', 'Fall', 'ManualCohort1'],
        ]
        filename = "cohort_csv_both_columns_1.csv"
        self._create_csv_file(filename, csv_contents)
        self._verify_csv_upload_acceptable_file(filename)

    def test_cohort_by_csv_only_email(self):
        """
        Scenario: the instructor can upload a file with user and cohort assignments, using only emails.

        Given I have a course with two cohorts defined
        When I go to the cohort management section of the instructor dashboard
        I can upload a CSV file with assignments of users to cohorts via only emails
        Then I can download a file with results
        And appropriate events have been emitted
开发者ID:jolyonb,项目名称:edx-platform,代码行数:70,代码来源:test_cohort_management.py


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