Includes: * CAPA * ORA * LTI * LTI-Consumer * SGA * Randomized Content Block TNL-5692 TNL-5464
67 lines
2.0 KiB
Python
67 lines
2.0 KiB
Python
"""
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Utilities for grades related tests
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"""
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from contextlib import contextmanager
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from mock import patch
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from courseware.module_render import get_module
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from courseware.model_data import FieldDataCache
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from xmodule.graders import ProblemScore
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@contextmanager
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def mock_passing_grade(grade_pass='Pass', percent=0.75):
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"""
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Mock the grading function to always return a passing grade.
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"""
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with patch('lms.djangoapps.grades.course_grades.summary') as mock_grade:
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mock_grade.return_value = {'grade': grade_pass, 'percent': percent}
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yield
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@contextmanager
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def mock_get_score(earned=0, possible=1):
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"""
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Mocks the get_score function to return a valid grade.
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"""
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with patch('lms.djangoapps.grades.new.subsection_grade.get_score') as mock_score:
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mock_score.return_value = ProblemScore(earned, possible, earned, possible, 1, True, None, None)
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yield mock_score
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@contextmanager
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def mock_get_submissions_score(earned=0, possible=1):
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"""
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Mocks the _get_submissions_score function to return the specified values
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"""
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with patch('lms.djangoapps.grades.scores._get_score_from_submissions') as mock_score:
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mock_score.return_value = (earned, possible, earned, possible)
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yield mock_score
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def answer_problem(course, request, problem, score=1, max_value=1):
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"""
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Records a correct answer for the given problem.
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Arguments:
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course (Course): Course object, the course the required problem is in
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request (Request): request Object
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problem (xblock): xblock object, the problem to be answered
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"""
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user = request.user
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grade_dict = {'value': score, 'max_value': max_value, 'user_id': user.id}
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field_data_cache = FieldDataCache.cache_for_descriptor_descendents(
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course.id,
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user,
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course,
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depth=2
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)
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# pylint: disable=protected-access
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module = get_module(
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user,
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request,
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problem.scope_ids.usage_id,
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field_data_cache,
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)._xmodule
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module.system.publish(problem, 'grade', grade_dict)
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