def __arrange_results(results, subjects_map, custom_metadata_map):
'''
This method arranges the data retrieved from the db to make it easier to consume by the client
'''
new_results = []
for result in results:
result['student_full_name'] = format_full_name(result['first_name'],
result['middle_name'],
result['last_name'])
# asmt_type is an enum, so we would to capitalize it to make it presentable
result['asmt_type'] = capwords(result['asmt_type'], ' ')
result['asmt_score_interval'] = get_overall_asmt_interval(result)
# custom metadata
subject_name = subjects_map[result["asmt_subject"]]
custom = custom_metadata_map.get(subject_name)
# format and rearrange cutpoints
result = get_cut_points(custom, result)
result['claims'] = get_claims(number_of_claims=5,
result=result,
include_names=True,
include_scores=True,
include_min_max_scores=True,
include_indexer=True)
result['accommodations'] = get_accommodations(result=result)
new_results.append(result)
# rearranging the json so we could use it more easily with mustache
for idx, value in enumerate(new_results):
new_results[idx] = __calculateClaimScoreRelativeDifference(value)
return {"all_results": new_results}
def test_get_claims_for_names_only(self):
result = {'asmt_cut_point_name_1': 'one',
'asmt_claim_1_score_range_min': 1,
'asmt_claim_1_score_range_max': 4,
'asmt_claim_1_score_min': 2,
'asmt_claim_1_score_max': 5,
'asmt_score_max': 500,
'asmt_claim_1_score': 2,
'asmt_claim_1_name': 'name',
'asmt_subject': 'ELA',
'asmt_cut_point_name_2': 'two',
'asmt_claim_2_score_range_min': 1,
'asmt_claim_2_score_range_max': 4,
'asmt_claim_2_score_min': 2,
'asmt_claim_2_score_max': 5,
'asmt_score_max': 500,
'asmt_claim_2_score': 2,
'asmt_claim_2_name': 'Two',
'asmt_type': 'SUMMATIVE'}
claims = get_claims(number_of_claims=2, result=result, include_names=True)
self.assertEqual(len(result), 5)
self.assertTrue(len(claims), 2)
self.assertEqual(claims[1]['name2'], '{{labels.claim}} 2')
self.assertEqual(len(claims[0]), 4)
self.assertEqual(len(claims[1]), 4)
def test_get_claims_for_scores_only(self):
result = {'asmt_cut_point_name_1': 'one',
'asmt_claim_1_score_range_min': 1,
'asmt_claim_1_score_range_max': 4,
'asmt_claim_1_score_min': 2,
'asmt_claim_1_score_max': 5,
'asmt_claim_1_perf_lvl': 3,
'asmt_score_max': 500,
'asmt_claim_1_score': 2,
'asmt_claim_1_name': 'name',
'asmt_claim_perf_lvl_name_3': 'Above Standard',
'asmt_subject': 'ELA',
'asmt_cut_point_name_2': 'two',
'asmt_claim_2_score_range_min': 1,
'asmt_claim_2_score_range_max': 4,
'asmt_claim_2_score_min': 2,
'asmt_claim_2_score_max': 5,
'asmt_score_max': 500,
'asmt_claim_2_score': 2,
'asmt_claim_2_name': 'Two',
'asmt_type': 'SUMMATIVE'}
claims = get_claims(number_of_claims=2, result=result, include_scores=True)
self.assertEqual(len(claims), 2)
self.assertEqual(len(claims[0]), 6)
self.assertEqual(claims[0]['score'], '2')
self.assertEqual(claims[0]['perf_lvl'], '3')
self.assertEqual(claims[0]['perf_lvl_name'], 'Above Standard')
def __arrange_results_iab(results, subjects_map, custom_metadata_map):
'''
This method arranges the data retrieved from the db to make it easier to consume by the client
'''
iab_results = {}
if len(results) is 0:
return iab_results
first_result = results[0]
iab_results['student_full_name'] = format_full_name(first_result['first_name'], first_result['middle_name'], first_result['last_name'])
iab_results['first_name'] = first_result.get('first_name')
iab_results['middle_name'] = first_result.get('middle_name')
iab_results['last_name'] = first_result.get('last_name')
iab_results['asmt_grade'] = first_result.get('asmt_grade')
iab_results['asmt_type'] = capwords(first_result.get('asmt_type'), ' ')
iab_results['asmt_period_year'] = first_result.get('asmt_period_year')
iab_results['student_id'] = first_result.get('student_id')
# Go through each of the different subjects ELA, Math etc.
subject_data = {}
for alias in subjects_map.values():
subject_data[alias] = []
# Check each DB result against the subject
for result in results:
subject_list = {}
subject = result['asmt_subject']
subject_list['claims'] = get_claims(number_of_claims=1, result=result, include_names=True, include_scores=False, include_min_max_scores=False, include_indexer=False, include_complete_admin_cond=True)
subject_list['grade'] = result.get('asmt_grade')
subject_list['date_taken'] = result.get('date_taken')
subject_data[subjects_map.get(subject)].append(subject_list)
# Create map from subject to all value for it's type
for k, v in subject_data.items():
iab_results[k] = v
return {"all_results": iab_results}
def __arrange_results(results, subjects_map, custom_metadata_map):
'''
This method arranges the data retrieved from the db to make it easier to consume by the client
'''
new_results = []
for result in results:
result['student_full_name'] = format_full_name(result['first_name'], result['middle_name'], result['last_name'])
# asmt_type is an enum, so we would to capitalize it to make it presentable
result['asmt_type'] = capwords(result['asmt_type'], ' ')
result['asmt_score_interval'] = get_overall_asmt_interval(result)
# custom metadata
subject_name = subjects_map[result["asmt_subject"]]
custom = custom_metadata_map.get(subject_name)
# format and rearrange cutpoints
result = get_cut_points(custom, result)
result['claims'] = get_claims(number_of_claims=5, result=result, include_names=True, include_scores=True, include_min_max_scores=True, include_indexer=True)
result['accommodations'] = get_accommodations(result=result)
new_results.append(result)
# rearranging the json so we could use it more easily with mustache
for idx, value in enumerate(new_results):
new_results[idx] = __calculateClaimScoreRelativeDifference(value)
return {"all_results": new_results}
def format_assessments_fao(results, subjects_map):
'''
Format student assessments.
'''
assessments = {}
# Formatting data for Front End
for result in results:
dateTaken = result['date_taken'] # e.g. 20140401
asmtType = capwords(result['asmt_type'], ' ') # Summative, Interim
asmtDict = assessments.get(asmtType, {})
studentDataByDate = {}
studentId = result['student_id'] # e.g. student_1
asmtList = asmtDict.get(studentId, [])
student = {}
student['student_id'] = studentId
student['student_first_name'] = result['first_name']
student['student_middle_name'] = result['middle_name']
student['student_last_name'] = result['last_name']
student['enrollment_grade'] = result['enrollment_grade']
student['state_code'] = result['state_code']
student['demographic'] = get_student_demographic(result)
student[Constants.ROWID] = result['student_id']
subject = subjects_map[result['asmt_subject']]
assessment = student.get(subject, {})
assessment['group'] = [] # for student group filter
for i in range(1, 11):
if result['group_{count}_id'.format(count=i)] is not None:
assessment['group'].append(
result['group_{count}_id'.format(count=i)])
assessment['asmt_grade'] = result['asmt_grade']
assessment['asmt_perf_lvl'] = result['asmt_perf_lvl']
assessment['asmt_score'] = result['asmt_score']
assessment['asmt_score_range_min'] = result['asmt_score_range_min']
assessment['asmt_score_range_max'] = result['asmt_score_range_max']
assessment['asmt_score_interval'] = get_overall_asmt_interval(result)
assessment['claims'] = get_claims(number_of_claims=4,
result=result,
include_scores=True,
include_names=False)
assessment['administration_condition'] = result[
'administration_condition']
assessment['complete'] = result['complete']
student[subject] = assessment
studentDataByDate[dateTaken] = student
asmtList.append(studentDataByDate)
asmtDict[studentId] = asmtList
assessments[asmtType] = asmtDict
return assessments
def format_assessments_iab(results, subjects_map):
'''
Format student assessments.
'''
assessments = {}
# Formatting data for Front End
for result in results:
date_taken = result['date_taken'] # e.g. 20140401
studentId = result['student_id'] # e.g. student_1
student = assessments.get(studentId, {})
if not student:
student['student_id'] = studentId
student['student_first_name'] = result['first_name']
student['student_middle_name'] = result['middle_name']
student['student_last_name'] = result['last_name']
student['enrollment_grade'] = result['enrollment_grade']
student['state_code'] = result['state_code']
student['demographic'] = get_student_demographic(result)
student[Constants.ROWID] = result['student_id']
student['group'] = set() # for student group filter
for i in range(1, 11):
if result.get('group_{count}_id'.format(count=i)) is not None:
student['group'].add(result['group_{count}_id'.format(count=i)])
assessment = {Constants.DATE_TAKEN: date_taken}
assessment['asmt_grade'] = result['asmt_grade']
assessment['administration_condition'] = result['administration_condition']
assessment['complete'] = result['complete']
claims = assessment.get('claims', [])
claim = get_claims(number_of_claims=1, result=result, include_scores=False, include_names=True)[0]
claims.append(claim)
assessment['claims'] = claims
claim_name = claims[0]['name']
subject = subjects_map[result['asmt_subject']]
claim_dict = student.get(subject, {})
date_taken_data = claim_dict.get(claim_name, [])
date_taken_data.append(assessment)
claim_dict[claim_name] = date_taken_data
student[subject] = claim_dict
assessments[studentId] = student
for student in assessments.values():
student['group'] = list(student['group'])
return {AssessmentType.INTERIM_ASSESSMENT_BLOCKS: assessments}
def test_get_claims_with_one_claim(self):
result = {'asmt_cut_point_name_1': 'one',
'asmt_claim_1_score_range_min': 1,
'asmt_claim_1_score_range_max': 4,
'asmt_claim_1_score_min': 2,
'asmt_claim_1_score_max': 5,
'asmt_score_max': 500,
'asmt_claim_1_score': 2,
'asmt_claim_1_name': 'name',
'asmt_subject': 'ELA',
'asmt_type': 'SUMMATIVE'}
claims = get_claims(number_of_claims=1, result=result, include_scores=True, include_names=True)
self.assertEqual(len(result), 4)
self.assertTrue(len(claims), 1)
self.assertEqual(claims[0]['name2'], '{{labels.claim}} 1')
def format_assessments_fao(results, subjects_map):
'''
Format student assessments.
'''
assessments = {}
# Formatting data for Front End
for result in results:
dateTaken = result['date_taken'] # e.g. 20140401
asmtType = capwords(result['asmt_type'], ' ') # Summative, Interim
asmtDict = assessments.get(asmtType, {})
studentDataByDate = {}
studentId = result['student_id'] # e.g. student_1
asmtList = asmtDict.get(studentId, [])
student = {}
student['student_id'] = studentId
student['student_first_name'] = result['first_name']
student['student_middle_name'] = result['middle_name']
student['student_last_name'] = result['last_name']
student['enrollment_grade'] = result['enrollment_grade']
student['state_code'] = result['state_code']
student['demographic'] = get_student_demographic(result)
student[Constants.ROWID] = result['student_id']
subject = subjects_map[result['asmt_subject']]
assessment = student.get(subject, {})
assessment['group'] = [] # for student group filter
for i in range(1, 11):
if result['group_{count}_id'.format(count=i)] is not None:
assessment['group'].append(result['group_{count}_id'.format(count=i)])
assessment['asmt_grade'] = result['asmt_grade']
assessment['asmt_perf_lvl'] = result['asmt_perf_lvl']
assessment['asmt_score'] = result['asmt_score']
assessment['asmt_score_range_min'] = result['asmt_score_range_min']
assessment['asmt_score_range_max'] = result['asmt_score_range_max']
assessment['asmt_score_interval'] = get_overall_asmt_interval(result)
assessment['claims'] = get_claims(number_of_claims=4, result=result, include_scores=True, include_names=False)
assessment['administration_condition'] = result['administration_condition']
assessment['complete'] = result['complete']
student[subject] = assessment
studentDataByDate[dateTaken] = student
asmtList.append(studentDataByDate)
asmtDict[studentId] = asmtList
assessments[asmtType] = asmtDict
return assessments
def __format_cut_points(results, subjects_map, custom_metadata_map):
'''
Returns formatted cutpoints in JSON
'''
cutpoints = {}
claims = {}
for result in results:
subject_name = subjects_map[result["asmt_subject"]]
custom = custom_metadata_map.get(subject_name)
# Get formatted cutpoints data
cutpoint = get_cut_points(custom, result)
cutpoints[subject_name] = cutpoint
# Get formatted claims data
claims[subject_name] = get_claims(number_of_claims=4, result=result, include_names=True)
# Remove unnecessary data
del(cutpoint['asmt_subject'])
return {'cutpoints': cutpoints, 'claims': claims, Constants.BRANDING: custom_metadata_map.get(Constants.BRANDING)}
def test_get_claims_for_complete_admin_cond(self):
result = {'asmt_cut_point_name_1': 'one',
'asmt_claim_1_score_range_min': 1,
'asmt_claim_1_score_range_max': 4,
'asmt_claim_1_score_min': 2,
'asmt_claim_1_score_max': 5,
'asmt_score_max': 500,
'asmt_claim_1_score': 2,
'asmt_claim_1_name': 'name',
'asmt_subject': 'ELA',
'asmt_cut_point_name_2': 'two',
'asmt_score_max': 500,
'asmt_type': 'INTERIM',
'complete': True,
'administration_condition': 'SD'}
claims = get_claims(number_of_claims=1, result=result, include_names=True, include_scores=False, include_min_max_scores=False, include_indexer=False, include_complete_admin_cond=True)
self.assertTrue(claims[0]['complete'])
self.assertEqual(claims[0]['administration_condition'], 'SD')
def __arrange_results_iab(results, subjects_map, custom_metadata_map):
'''
This method arranges the data retrieved from the db to make it easier to consume by the client
'''
iab_results = {}
if len(results) is 0:
return iab_results
first_result = results[0]
iab_results['student_full_name'] = format_full_name(
first_result['first_name'], first_result['middle_name'],
first_result['last_name'])
iab_results['first_name'] = first_result.get('first_name')
iab_results['middle_name'] = first_result.get('middle_name')
iab_results['last_name'] = first_result.get('last_name')
iab_results['asmt_grade'] = first_result.get('asmt_grade')
iab_results['asmt_type'] = capwords(first_result.get('asmt_type'), ' ')
iab_results['asmt_period_year'] = first_result.get('asmt_period_year')
iab_results['student_id'] = first_result.get('student_id')
# Go through each of the different subjects ELA, Math etc.
subject_data = {}
for alias in subjects_map.values():
subject_data[alias] = []
# Check each DB result against the subject
for result in results:
subject_list = {}
subject = result['asmt_subject']
subject_list['claims'] = get_claims(number_of_claims=1,
result=result,
include_names=True,
include_scores=False,
include_min_max_scores=False,
include_indexer=False,
include_complete_admin_cond=True)
subject_list['grade'] = result.get('asmt_grade')
subject_list['date_taken'] = result.get('date_taken')
subject_data[subjects_map.get(subject)].append(subject_list)
# Create map from subject to all value for it's type
for k, v in subject_data.items():
iab_results[k] = v
return {"all_results": iab_results}
def __format_cut_points(results, subjects_map, custom_metadata_map):
'''
Returns formatted cutpoints in JSON
'''
cutpoints = {}
claims = {}
for result in results:
subject_name = subjects_map[result["asmt_subject"]]
custom = custom_metadata_map.get(subject_name)
# Get formatted cutpoints data
cutpoint = get_cut_points(custom, result)
cutpoints[subject_name] = cutpoint
# Get formatted claims data
claims[subject_name] = get_claims(number_of_claims=4,
result=result,
include_names=True)
# Remove unnecessary data
del (cutpoint['asmt_subject'])
return {
'cutpoints': cutpoints,
'claims': claims,
Constants.BRANDING: custom_metadata_map.get(Constants.BRANDING)
}
def test_get_claims_for_indexer_only(self):
result = {'asmt_cut_point_name_1': 'one',
'asmt_claim_1_score_range_min': 1,
'asmt_claim_1_score_range_max': 4,
'asmt_claim_1_score_min': 2,
'asmt_claim_1_score_max': 5,
'asmt_score_max': 500,
'asmt_claim_1_score': 2,
'asmt_claim_1_name': 'name',
'asmt_subject': 'ELA',
'asmt_cut_point_name_2': 'two',
'asmt_claim_2_score_range_min': 1,
'asmt_claim_2_score_range_max': 4,
'asmt_claim_2_score_min': 2,
'asmt_claim_2_score_max': 5,
'asmt_score_max': 500,
'asmt_claim_2_score': 2,
'asmt_claim_2_name': 'Two',
'asmt_type': 'SUMMATIVE'}
claims = get_claims(number_of_claims=2, result=result, include_indexer=True)
self.assertEqual(len(claims), 2)
self.assertEqual(len(claims[0]), 3)
self.assertEqual(claims[0]['indexer'], '1')
self.assertEqual(claims[1]['indexer'], '2')
def test_get_claims_with_no_claims(self):
claims = get_claims(number_of_claims=0, result=None, include_scores=True)
self.assertEqual(len(claims), 0)
