def test_sample_analyze(self):
analysis = analyze_test(sample)
assert json.dumps(analysis) == json.dumps(sample_output[0])
sample["exclude_items"] = [2, 6, 9, 12, 15, 16, 17, 18]
analysis2 = analyze_test(sample)
assert json.dumps(analysis2) == json.dumps(sample_output[1])
def test_one_student(self):
data = {"student_list": [{}]}
expected = {"analysis": "Invalid data - Not enough students"}
analysis = analyze_test(data)
assert analysis == expected
def get_quiz_responses(json_data):
edit_url = json_data.get('edit_url')
provider_id = json_data.get('provider_id')
responses = json_data.get('responses')
params = [edit_url or provider_id, int(responses)]
credentials = GoogleCredentials().get_credential()
socket.setdefaulttimeout(300)
results = run_app_script(credentials,
function_name='getQuizResponses',
params=params)
responses = results.get('responses', [])
# TODO Convert to json format needed for Item Analysis
# Call Analyze_test and send analysis data in the below dict
exam_info = {'exam': {'name': results.get('title')}, 'student_list': []}
for i in results.get('students'):
curr_id = str(i[0].get('student_id'))
exam_info['student_list'].append({'id': curr_id, 'item_responses': []})
for i in responses:
for k in i:
for j in exam_info['student_list']:
if str(k.get('student_id')) == j['id']:
j['item_responses'].append({
'item_id': str(k.get('item_id')),
'response': k.get('score')})
quiz_analysis = analyze_test(exam_info)['analysis']
return {"quiz_analysis": quiz_analysis}
def test_empty_json(self):
data = {}
expected = {"analysis": "Invalid data - Not enough students"}
analysis = analyze_test(data)
assert analysis == expected
def test_optional_inputs(self):
data = {
"student_list": [
{
"item_responses": [
{"response": 1},
{"response": 0},
{"response": 0}
]
},
{
"item_responses": [
{"response": 0},
{"response": 1},
{"response": 1}
]
},
{
"item_responses": [
{"response": 0},
{"response": 1},
]
}
]
}
expected = {'analysis': {'assumptions': {'3': {'assumed': ['3']}}, 'exclude': ['1'], 'group_analysis': 'No groups were found, or all students are in the same group', 'item_analysis': [{'difficulty': 0.667, 'idr': -0.037, 'item_id': '1', 'num_correct': 1},
{'difficulty': 0.333, 'idr': 0.037, 'item_id': '2', 'num_correct': 2}, {'difficulty': 0.667, 'idr': 0.074, 'item_id': '3', 'num_correct': 1}], 'overall_items': {'diff_avg': 0.556, 'idr_avg': 0.025},
'overall_quiz': {'average': 0.444, 'kr20': -3.0, 'weighted_avg': 0.4}, 'student_scores': [{'score': 0.333, 'student': '1', 'weighted_score': 0.4}, {'score': 0.667, 'student': '2', 'weighted_score': 0.6},
{'score': 0.333, 'student': '3', 'weighted_score': 0.2}], 'topic_avgs': 'No topics were found', 'topic_rights': 'No topics were found'}}
analysis = analyze_test(data)
assert analysis == expected
def test_optional_inputs(self):
data = {
"student_list": [
{
"item_responses": [
{"response": 1},
{"response": 0},
{"response": 0}
]
},
{
"item_responses": [
{"response": 0},
{"response": 1},
{"response": 1}
]
},
{
"item_responses": [
{"response": 0},
{"response": 1},
]
}
]
}
expected = {"analysis": {
"assumptions": {"3": {"assumed": ["3"]}},
"average": 0.444,
"diff_avg": 0.556,
"difficulty": {"1": 0.667,
"2": 0.333,
"3": 0.667},
"exclude": ["1"],
"group_analysis": "No groups were found, or all students are in the same group",
"idr": {"1": -0.037,
"2": 0.037,
"3": 0.074},
"idr_avg": 0.025,
"kr20": -3.0,
"num_correct": {"1": 1,
"2": 2,
"3": 1},
"scores": {"1": 0.333,
"2": 0.667,
"3": 0.333},
"topic_avgs": "No topics were found",
"topic_rights": "No topics were found",
"weighted_avg": 0.4,
"weighted_scores": {"1": 0.4,
"2": 0.6,
"3": 0.2}},
}
analysis = analyze_test(data)
assert analysis == expected
def test_no_items(self):
data = {"student_list": [
{
"item_responses": []
},
{
"item_responses": []
},
{
"item_responses": []
}
]}
expected = {"analysis": "Invalid data - Not enough items"}
analysis = analyze_test(data)
assert analysis == expected
def test_missing_data_1(self):
data = {
"student_list": [
{
"item_responses": [
{"response": 1},
{"response": 0}
]
},
{
"item_responses": [
{"response": 0}
]
},
{
}
]
}
expected = {"analysis": {"assumptions": {"2": {"assumed": ["2"]},
"3": {"assumed": ["1", "2"]}},
"average": 0.167,
"diff_avg": 0.834,
"difficulty": {"1": 0.667, "2": 1.0},
"exclude": "Invalid data - No mean",
"group_analysis": "No groups were found, or all "
"students are in the same group",
"idr": "Invalid data - No mean",
"idr_avg": "Invalid data - No mean",
"kr20": -0.0,
"num_correct": {"1": 1, "2": 0},
"scores": {"1": 0.5, "2": 0.0, "3": 0.0},
"topic_avgs": "No topics were found",
"topic_rights": "No topics were found",
"weighted_avg": 0.133,
"weighted_scores": {"1": 0.4, "2": 0.0, "3": 0.0}}}
analysis = analyze_test(data)
assert analysis == expected
def test_missing_data_1(self):
data = {
"student_list": [
{
"item_responses": [
{"response": 1},
{"response": 0}
]
},
{
"item_responses": [
{"response": 0}
]
},
{
}
]
}
expected = {'analysis': {'assumptions': {'2': {'assumed': ['2']}, '3': {'assumed': ['1', '2']}}, 'exclude': 'Invalid data - No mean', 'group_analysis': 'No groups were found, or all students are in ' 'the same group', 'item_analysis': [{'difficulty': 0.667, 'idr': 'Invalid data - No mean', 'item_id': '1', 'num_correct': 1}, {'difficulty': 1.0, 'idr': 'Invalid data - No mean', 'item_id': '2', 'num_correct': 0}], 'overall_items': {'diff_avg': 0.834, 'idr_avg': 'Invalid data - No mean'}, 'overall_quiz': {'average': 0.167, 'kr20': -0.0, 'weighted_avg': 0.133}, 'student_scores': [{'score': 0.5, 'student': '1', 'weighted_score': 0.4}, {'score': 0.0, 'student': '2', 'weighted_score': 0.0}, {'score': 0.0, 'student': '3', 'weighted_score': 0.0}], 'topic_avgs': 'No topics were found', 'topic_rights': 'No topics were found'}}
analysis = analyze_test(data)
assert analysis == expected
def test_analyze(self):
expected = exp.test_analysis
analysis = analyze_test(self.data)
assert analysis == expected
def test_missing_data_2(self):
data = {
"item_topics":[
{
"item_id":"1",
"tags":[
{
"topic_tagged":"DNA",
"scored":"Y"
},
{
"topic_tree":"Biology",
"topic_branch_hierarchy":{
"0":"Cell biology",
"1":"Cells",
"2":"Organelles"
},
"topic_tagged":"Ribosomes",
"scored":"Y"
}
]
},
{
"tags":[
{
"topic_tree":"A",
"topic_branch_hierarchy":{
"0":"B",
"1":"C",
"2":"D",
"3":"E"
},
"topic_tagged":"f",
"scored":"Y"
},
{
"topic_tree":"m",
"topic_branch_hierarchy":{
}
}
]
},
{
"item_id":"6",
},
],
"student_list": [
{
"item_responses": [
{"item_id": "1", "response": 1},
{"item_id": "2", "response": 0},
{"item_id": "3", "response": 1},
{"item_id": "4", "response": 1},
{"item_id": "5", "response": 0},
{"item_id": "6", "response": 1}
]
},
{ "group": ["2022"],
"email": "*****@*****.**",
"item_responses": [
{"item_id": "4", "response": 1},
{"item_id": "5", "response": 1},
{"item_id": "6", "response": 1}
]
},
{ "group": ["2024"],
"item_responses": [
{"item_id": "1", "response": 0},
{"item_id": "2", "response": 1},
{"item_id": "3", "response": 0},
{"item_id": "4", "response": 0}
]
}
]
}
expected = exp.missing_data_2
analysis = analyze_test(data)
assert analysis == expected