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added annotationresponse grade test

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This commit is contained in:
Arthur Barrett
2013-02-27 16:29:25 -05:00
parent 2f4d6f7bbf
commit 8f89768d62
3 changed files with 31 additions and 3 deletions
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3
common/lib/capa/capa/responsetypes.py
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@@ -1848,8 +1848,7 @@ class AnnotationResponse(LoncapaResponse):
Checking of annotation responses.
The response contains both a comment (student commentary) and an option (student tag).
Only the tag is currently graded. Answers may be incorrect, partially correct, or correct
and are scored accordingly.
Only the tag is currently graded. Answers may be incorrect, partially correct, or correct.
'''
response_tag = 'annotationresponse'
allowed_inputfields = ['annotationinput']

17
common/lib/capa/capa/tests/test_files/annotationresponse.xml Normal file
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@@ -0,0 +1,17 @@
<problem display_name="Exercise 1">
<annotationresponse>
<annotationinput>
<title>the title</title>
<text>the text</text>
<comment>the comment</comment>
<comment_prompt>Type a commentary below:</comment_prompt>
<tag_prompt>Select one or more tags:</tag_prompt>
<options>
<option choice="correct">green</option>
<option choice="incorrect">eggs</option>
<option choice="partially-correct">ham</option>
</options>
</annotationinput>
</annotationresponse>
<solution>Instructor text here...</solution>
</problem>

14
common/lib/capa/capa/tests/test_responsetypes.py
View File

@@ -428,4 +428,16 @@ class JavascriptResponseTest(unittest.TestCase):
self.assertEquals(test_lcp.grade_answers(correct_answers).get_correctness('1_2_1'), 'correct')
class AnnotationResponseTest(unittest.TestCase):
pass
def test_grade(self):
annotationresponse_file = os.path.dirname(__file__) + "/test_files/annotationresponse.xml"
test_lcp = lcp.LoncapaProblem(open(annotationresponse_file).read(), '1', system=test_system)
answers_for = {
'correct': {'1_2_1': json.dumps({'options':[0]})},
'incorrect': {'1_2_1': json.dumps({'options':[1]})},
'partially-correct': {'1_2_1': json.dumps({'options':[2]})}
}
for expected_correctness in answers_for.keys():
actual_correctness = test_lcp.grade_answers(answers_for[expected_correctness]).get_correctness('1_2_1')
self.assertEquals(expected_correctness, actual_correctness)