def grader(itemResult,totalQ):
print('entering APM module')
if 'apm_total' not in g:
g.apm_total = 0
if 'apm_max_score' not in g:
g.apm_max_score = 0
if 'apm_correct' not in g:
g.apm_correct = 0
if 'apm_incorrect' not in g:
g.apm_incorrect = 0
if 'apm_empty' not in g:
g.apm_empty = 0
itemGrade = {}
score = 0
max_score = 0
response = None
for subelem in itemResult:
sub_identifier = subelem.attrib['identifier']
sub_split = sub_identifier.split('_')
if subelem.attrib['identifier'] == 'SCORE' :
for subelem2 in subelem:
score = int(subelem2.text)
#g.apm_total += score
g.apm_correct += score
elif subelem.attrib['identifier'] == 'MAXSCORE' :
for subelem2 in subelem:
max_score = int(subelem2.text)
g.apm_max_score += max_score
elif sub_split[0] == 'RESPONSE' :
for subelem2 in subelem:
for subelem3 in subelem2:
response = subelem3.text
if response == None :
g.apm_empty += 1
itemGrade["candidate_response"] = response
g.apm_incorrect = totalQ - g.apm_correct - g.apm_empty
print("correct = " + str(g.apm_correct))
print("total Q = " + str(totalQ))
print("empty = " + str(g.apm_empty))
data = {}
data["type"] = 'apm'
data["scores"] = {}
data["scores"]["scale20"] = scale.scale('apm20', g.apm_correct)
data["scores"]["scale6"] = scale.scale('20to6', data["scores"]["scale20"])
#data["scores"]["total"] = g.apm_total
#data["scores"]["max_score"] = g.apm_max_score
data["answers"] = {}
data["answers"]["correct"] = g.apm_correct
data["answers"]["incorrect"] = g.apm_incorrect
data["answers"]["empty"] = g.apm_empty
data["attributes"] = itemGrade
return data
def grader(itemResult,totalQ):
print('entering CFIT module')
if 'cfit_total' not in g:
g.cfit_total = 0
if 'cfit_max_score' not in g:
g.cfit_max_score = 0
if 'cfit_correct' not in g:
g.cfit_correct = 0
if 'cfit_incorrect' not in g:
g.cfit_incorrect = 0
if 'cfit_empty' not in g:
g.cfit_empty = 0
itemGrade = {}
score = 0
max_score = 0
response = None
for subelem in itemResult:
sub_identifier = subelem.attrib['identifier']
sub_split = sub_identifier.split('_')
if subelem.attrib['identifier'] == 'SCORE' :
for subelem2 in subelem:
score = int(subelem2.text)
print(sub_identifier, ' : ' ,score)
g.cfit_correct += score
elif subelem.attrib['identifier'] == 'MAXSCORE' :
for subelem2 in subelem:
max_score = int(subelem2.text)
g.cfit_max_score += max_score
elif sub_split[0] == 'RESPONSE' :
for subelem2 in subelem:
for subelem3 in subelem2:
response = subelem3.text
print(response)
if response == None :
g.cfit_empty += 1
itemGrade["candidate_response"] = response
g.cfit_incorrect = totalQ - g.cfit_correct - g.cfit_empty
data = {}
data["type"] = 'cfit'
data["scores"] = {}
data["scores"]["scaled-6"] = scale.scale('cfit-to-6', g.cfit_correct)
data["scores"]["scaled-20"] = scale.scale('cfit-to-20', g.cfit_correct)
#data["scores"]["total"] = g.apm_total
#data["scores"]["max_score"] = g.apm_max_score
data["answers"] = {}
data["answers"]["correct"] = g.cfit_correct
data["answers"]["incorrect"] = g.cfit_incorrect
data["answers"]["empty"] = g.cfit_empty
data["attributes"] = itemGrade
return data
def regulerGrader(dataObject):
# Create a new object
items = dataObject
items['output'] = {}
items['output']['kematangan_sosial'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['s'] +
items['papi']['scores']['scale20']['b'] +
items['papi']['scores']['scale20']['o'] +
items['papi']['scores']['scale20']['e']) / 4))
items['output']['stabilitas_emosi'] = scale.scale(
'20to6', round((items['papi']['scores']['scale20']['e']) / 1))
items['output']['penyesuaian_diri'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['b'] +
items['papi']['scores']['scale20']['z']) / 2))
items['output']['pengendalian_diri'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['z'] +
items['papi']['scores']['scale20']['b'] +
items['papi']['scores']['scale20']['k'] +
items['papi']['scores']['scale20']['e']) / 4))
items['output']['kepercayaan_diri'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['z'] +
items['papi']['scores']['scale20']['k'] +
items['papi']['scores']['scale20']['x']) / 3))
items['output']['penyesuaian_diri'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['v'] +
items['papi']['scores']['scale20']['a']) / 2))
items['output']['kerjasama'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['p'] +
items['papi']['scores']['scale20']['b'] +
items['papi']['scores']['scale20']['k'] +
items['papi']['scores']['scale20']['f']) / 4))
items['output']['hubungan_interpersonal'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['x'] +
items['papi']['scores']['scale20']['b'] +
items['papi']['scores']['scale20']['s'] +
items['papi']['scores']['scale20']['o']) / 4))
items['output']['sistematika_kerja'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['i'] +
items['papi']['scores']['scale20']['d'] +
items['papi']['scores']['scale20']['c'] +
items['papi']['scores']['scale20']['w']) / 4))
items['output']['fleksibilitas_kerja'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['z'] +
items['papi']['scores']['scale20']['i'] +
items['papi']['scores']['scale20']['w']) / 3))
items['output']['daya_tahan_kerja_rutin'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['g'] +
items['papi']['scores']['scale20']['v'] +
items['papi']['scores']['scale20']['z'] +
items['papi']['scores']['scale20']['e'] +
items['papi']['scores']['scale20']['n']) / 5))
items['output']['daya_tahan_dalam_stress'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['g'] +
items['papi']['scores']['scale20']['e'] +
items['papi']['scores']['scale20']['n']) / 3))
items['output']['motivasi_berprestasi'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['g'] +
(items['papi']['scores']['scale20']['a'] * 3) +
items['papi']['scores']['scale20']['v'] +
items['papi']['scores']['scale20']['n']) / 6))
items['output']['orientasi_pelayanan'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['k'] +
items['papi']['scores']['scale20']['f'] +
items['papi']['scores']['scale20']['n']) / 3))
items['output']['komitmen_kerja'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['g'] +
items['papi']['scores']['scale20']['n']) / 2))
items['output']['konsep_diri'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['a'] +
items['papi']['scores']['scale20']['v']) / 2))
items['output']['inisiatif'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['l'] +
items['papi']['scores']['scale20']['i'] +
items['papi']['scores']['scale20']['t'] +
items['papi']['scores']['scale20']['z']) / 4))
return items
def grader(itemResult, totalQ):
print('entering ADKUDAG4 module')
if 'adkudag4_total' not in g:
g.adkudag4_total = 0
if 'adkudag4_max_score' not in g:
g.adkudag4_max_score = 0
if 'adkudag4_correct' not in g:
g.adkudag4_correct = 0
if 'adkudag4_incorrect' not in g:
g.adkudag4_incorrect = 0
if 'adkudag4_empty' not in g:
g.adkudag4_empty = 0
itemGrade = {}
score = 0
max_score = 0
response = None
for subelem in itemResult:
sub_identifier = subelem.attrib['identifier']
sub_split = sub_identifier.split('_')
if subelem.attrib['identifier'] == 'SCORE':
for subelem2 in subelem:
score = int(subelem2.text)
print(sub_identifier, ' : ', score)
g.adkudag4_total = g.adkudag4_total + score
g.adkudag4_correct += score
elif subelem.attrib['identifier'] == 'MAXSCORE':
for subelem2 in subelem:
max_score = int(subelem2.text)
g.adkudag4_max_score += max_score
elif sub_split[0] == 'RESPONSE':
for subelem2 in subelem:
for subelem3 in subelem2:
response = subelem3.text
if response == None:
g.adkudag4_empty += 1
#print('response : ' , response)
itemGrade["candidate_response"] = response
# elif score == max_score :
# g.adkudag4_correct += 1
# else :
# g.adkudag4_incorrect += 1
g.adkudag4_incorrect = totalQ - g.adkudag4_correct - g.adkudag4_empty
data = {}
data["type"] = 'adkudag4'
data["scores"] = {}
data["scores"]["scale20"] = scale.scale('adkudag4', g.adkudag4_correct)
data["scores"]["scale6"] = scale.scale('20to6', data["scores"]["scale20"])
#data["scores"]["scale-20"] = scale.scale('cfit-to-20', g.adkudag4_correct)
#data["scores"]["total"] = g.apm_total
#data["scores"]["max_score"] = g.apm_max_score
data["answers"] = {}
data["answers"]["correct"] = g.adkudag4_correct
data["answers"]["incorrect"] = g.adkudag4_incorrect
data["answers"]["empty"] = g.adkudag4_empty
data["attributes"] = itemGrade
print(' TOTAL ADKUDAG4 : ', g.adkudag4_total)
return data
def regulerGrader(dataObject):
# Create a new object
items = dataObject
items['output'] = {}
items['output']['kecepatan20'] = scale.scale(
'kecepatanketelitian20',
(items['apm']['answers']['correct'] +
items['apm']['answers']['incorrect'] +
items['compre']['answers']['correct'] +
items['compre']['answers']['incorrect'] +
items['tkdinfo']['answers']['correct'] +
items['tkdinfo']['answers']['incorrect'] +
items['tkdidiot']['answers']['correct'] +
items['tkdidiot']['answers']['incorrect'] +
items['tkdanalogiverbal']['answers']['correct'] +
items['tkdanalogiverbal']['answers']['incorrect'] +
items['gatb4']['answers']['correct'] +
items['gatb4']['answers']['incorrect'] +
items['adkudag4']['answers']['correct'] +
items['adkudag4']['answers']['incorrect'] +
items['tese']['answers']['correct'] +
items['tese']['answers']['incorrect']) * 100.0 / 246)
items['output']['ketelitian20'] = scale.scale(
'kecepatanketelitian20',
(items['apm']['answers']['correct'] +
items['compre']['answers']['correct'] +
items['tkdinfo']['answers']['correct'] +
items['tkdidiot']['answers']['correct'] +
items['tkdanalogiverbal']['answers']['correct'] +
items['gatb4']['answers']['correct'] +
items['adkudag4']['answers']['correct'] +
items['tese']['answers']['correct']) * 100.0 / 246)
items['output']['inteligensi_umum'] = scale.scale(
'20to6',
round((items['apm']['scores']['scale20'] +
items['gatb4']['scores']['scale20'] +
items['tkdidiot']['scores']['scale20']) / 3))
items['output']['daya_tangkap'] = scale.scale(
'20to6',
round((items['compre']['scores']['scale20'] +
items['tkdanalogiverbal']['scores']['scale20'] +
items['tese']['scores']['scale20']) / 3))
items['output']['pemecahan_masalah'] = scale.scale(
'20to6',
round((items['apm']['scores']['scale20'] +
items['tkdidiot']['scores']['scale20'] +
items['gatb4']['scores']['scale20'] +
items['tese']['scores']['scale20']) / 4))
items['output']['kemampuan_analisa_sintesa'] = scale.scale(
'20to6',
round(((items['apm']['scores']['scale20'] * 3) +
items['tkdidiot']['scores']['scale20'] +
items['gatb4']['scores']['scale20'] +
items['tese']['scores']['scale20']) / 6))
items['output']['logika_berpikir'] = scale.scale(
'20to6',
round((items['tkdidiot']['scores']['scale20'] +
items['gatb4']['scores']['scale20'] +
items['tese']['scores']['scale20']) / 3))
items['output']['penalaran_verbal'] = scale.scale(
'20to6',
round((items['compre']['scores']['scale20'] +
items['tkdanalogiverbal']['scores']['scale20'] +
items['tkdidiot']['scores']['scale20']) / 3))
items['output']['penalaran_numerik'] = scale.scale(
'20to6',
round((items['gatb4']['scores']['scale20'] +
items['tese']['scores']['scale20']) / 2))
items['output']['wawasan_pengetahuan'] = scale.scale(
'20to6',
round((items['compre']['scores']['scale20'] +
items['tkdinfo']['scores']['scale20']) / 2))
items['output']['kemampuan_abstrak'] = scale.scale(
'20to6',
round(((items['apm']['scores']['scale20'] * 2) +
items['tkdidiot']['scores']['scale20'] +
items['tese']['scores']['scale20']) / 4))
items['output']['kemampuan_praktis'] = scale.scale(
'20to6',
round((items['adkudag4']['scores']['scale20'] +
items['tese']['scores']['scale20']) / 2))
items['output']['kemampuan_keteknikan'] = scale.scale(
'20to6', items['tese']['scores']['scale20'])
items['output']['daya_ingat'] = scale.scale(
'20to6',
round(((items['tkdinfo']['scores']['scale20'] * 2) +
items['compre']['scores']['scale20'] +
items['adkudag4']['scores']['scale20']) / 4))
items['output']['kemampuan_dan_proses_belajar'] = scale.scale(
'20to6',
round((items['apm']['scores']['scale20'] +
items['compre']['scores']['scale20'] +
items['tkdinfo']['scores']['scale20']) / 3))
items['output']['kematangan_sosial'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['s'] +
items['papi']['scores']['scale20']['b'] +
items['papi']['scores']['scale20']['o'] +
items['papi']['scores']['scale20']['e']) / 4))
items['output']['stabilitas_emosi'] = scale.scale(
'20to6', round((items['papi']['scores']['scale20']['e']) / 1))
items['output']['penyesuaian_diri'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['b'] +
items['papi']['scores']['scale20']['z']) / 2))
items['output']['pengendalian_diri'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['z'] +
items['papi']['scores']['scale20']['b'] +
items['papi']['scores']['scale20']['k'] +
items['papi']['scores']['scale20']['e']) / 4))
items['output']['kepercayaan_diri'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['z'] +
items['papi']['scores']['scale20']['k'] +
items['papi']['scores']['scale20']['x']) / 3))
items['output']['penyesuaian_diri'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['v'] +
items['papi']['scores']['scale20']['a']) / 2))
items['output']['kerjasama'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['p'] +
items['papi']['scores']['scale20']['b'] +
items['papi']['scores']['scale20']['k'] +
items['papi']['scores']['scale20']['f']) / 4))
items['output']['hubungan_interpersonal'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['x'] +
items['papi']['scores']['scale20']['b'] +
items['papi']['scores']['scale20']['s'] +
items['papi']['scores']['scale20']['o']) / 4))
items['output']['sistematika_kerja'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['i'] +
items['papi']['scores']['scale20']['d'] +
items['papi']['scores']['scale20']['c'] +
items['papi']['scores']['scale20']['w']) / 4))
items['output']['fleksibilitas_kerja'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['z'] +
items['papi']['scores']['scale20']['i'] +
items['papi']['scores']['scale20']['w']) / 3))
items['output']['tempo_kerja'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['t'] +
items['papi']['scores']['scale20']['v'] +
items['output']['kecepatan20'] +
items['papi']['scores']['scale20']['n']) / 4))
items['output']['ketekunan'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['d'] +
items['adkudag4']['scores']['scale20'] +
items['output']['ketelitian20'] +
items['papi']['scores']['scale20']['c']) / 4))
items['output']['ketelitian'] = scale.scale(
'20to6', items['output']['ketelitian20'])
items['output']['daya_tahan_kerja_rutin'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['g'] +
items['papi']['scores']['scale20']['v'] +
items['papi']['scores']['scale20']['z'] +
items['papi']['scores']['scale20']['e'] +
items['papi']['scores']['scale20']['n']) / 5))
items['output']['daya_tahan_dalam_stress'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['g'] +
items['papi']['scores']['scale20']['e'] +
items['papi']['scores']['scale20']['n']) / 3))
items['output']['motivasi_berprestasi'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['g'] +
(items['papi']['scores']['scale20']['a'] * 3) +
items['papi']['scores']['scale20']['v'] +
items['papi']['scores']['scale20']['n']) / 6))
items['output']['orientasi_pelayanan'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['k'] +
items['papi']['scores']['scale20']['f'] +
items['papi']['scores']['scale20']['n']) / 3))
items['output']['komitmen_kerja'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['g'] +
items['papi']['scores']['scale20']['n']) / 2))
items['output']['konsep_diri'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['a'] +
items['papi']['scores']['scale20']['v']) / 2))
items['output']['inisiatif'] = scale.scale(
'20to6',
round((items['papi']['scores']['scale20']['l'] +
items['papi']['scores']['scale20']['i'] +
items['papi']['scores']['scale20']['t'] +
items['papi']['scores']['scale20']['z']) / 4))
items['output']['subtest_rs_total'] = (
items['apm']['answers']['correct'] +
items['compre']['answers']['correct'] +
items['gatb4']['answers']['correct'] +
items['tkdinfo']['answers']['correct'] +
items['tkdidiot']['answers']['correct'] +
items['tkdanalogiverbal']['answers']['correct'] +
items['adkudag4']['answers']['correct'] +
items['tese']['answers']['correct'])
items['output']['subtest_ss_total'] = (
items['apm']['scores']['scale20'] +
items['compre']['scores']['scale20'] +
items['gatb4']['scores']['scale20'] +
items['tkdinfo']['scores']['scale20'] +
items['tkdidiot']['scores']['scale20'] +
items['tkdanalogiverbal']['scores']['scale20'] +
items['adkudag4']['scores']['scale20'] +
items['tese']['scores']['scale20'])
items['output']['kecepatan_percentage'] = (
(items['apm']['answers']['correct'] +
items['apm']['answers']['incorrect'] +
items['compre']['answers']['correct'] +
items['compre']['answers']['incorrect'] +
items['tkdinfo']['answers']['correct'] +
items['tkdinfo']['answers']['incorrect'] +
items['tkdidiot']['answers']['correct'] +
items['tkdidiot']['answers']['incorrect'] +
items['tkdanalogiverbal']['answers']['correct'] +
items['tkdanalogiverbal']['answers']['incorrect'] +
items['gatb4']['answers']['correct'] +
items['gatb4']['answers']['incorrect'] +
items['adkudag4']['answers']['correct'] +
items['adkudag4']['answers']['incorrect'] +
items['tese']['answers']['correct'] +
items['tese']['answers']['incorrect']) * 1.0 / 246)
items['output']['ketelitian_percentage'] = (
(items['apm']['answers']['correct'] +
items['compre']['answers']['correct'] +
items['tkdinfo']['answers']['correct'] +
items['tkdidiot']['answers']['correct'] +
items['tkdanalogiverbal']['answers']['correct'] +
items['gatb4']['answers']['correct'] +
items['adkudag4']['answers']['correct'] +
items['tese']['answers']['correct']) * 1.0 / 246)
return items
def calculate_disc(tally):
#print(disc_score)
d1 = scale.scale('pcas-1-d', g.tally['a'])
d2 = scale.scale('pcas-2-d', g.tally['b'])
d3 = scale.scale('pcas-3-d', g.tally['a'] - g.tally['b'])
i1 = scale.scale('pcas-1-i', g.tally['c'])
i2 = scale.scale('pcas-2-i', g.tally['d'])
i3 = scale.scale('pcas-3-i', g.tally['c'] - g.tally['d'])
s1 = scale.scale('pcas-1-s', g.tally['e'])
s2 = scale.scale('pcas-2-s', g.tally['f'])
s3 = scale.scale('pcas-3-s', g.tally['e'] - g.tally['f'])
c1 = scale.scale('pcas-1-c', g.tally['g'])
c2 = scale.scale('pcas-2-c', g.tally['h'])
c3 = scale.scale('pcas-3-c', g.tally['g'] - g.tally['h'])
g.disc_score['d1'] = d1
g.disc_score['d2'] = d2
g.disc_score['d3'] = d3
g.disc_score['i1'] = i1
g.disc_score['i2'] = i2
g.disc_score['i3'] = i3
g.disc_score['s1'] = s1
g.disc_score['s2'] = s2
g.disc_score['s3'] = s3
g.disc_score['c1'] = c1
g.disc_score['c2'] = c2
g.disc_score['c3'] = c3
g.disc_score['valid_1'] = g.tally['i']
g.disc_score['valid_2'] = g.tally['j']
def grader(itemResult, totalQ):
validity = True
validity_message = ""
print('inside PAPI module')
if 'papi_score' not in g:
#print("create g.papi_score")
g.papi_score = {
'e': 0,
'n': 0,
'a': 0,
'x': 0,
'b': 0,
'o': 0,
'z': 0,
'k': 0,
'w': 0,
'c': 0,
'l': 0,
'g': 0,
'r': 0,
'd': 0,
't': 0,
's': 0,
'i': 0,
'v': 0,
'f': 0,
'p': 0
}
if 'papi_score_scaled' not in g:
#print("create g.papi_score")
g.papi_score_scaled = {
'e': 0,
'n': 0,
'a': 0,
'x': 0,
'b': 0,
'o': 0,
'z': 0,
'k': 0,
'w': 0,
'c': 0,
'l': 0,
'g': 0,
'r': 0,
'd': 0,
't': 0,
's': 0,
'i': 0,
'v': 0,
'f': 0,
'p': 0
}
if 'apm_total' not in g:
g.apm_total = 0
if 'apm_max_score' not in g:
g.apm_max_score = 0
if 'apm_correct' not in g:
g.apm_correct = 0
if 'apm_incorrect' not in g:
g.apm_incorrect = 0
if 'apm_empty' not in g:
g.apm_empty = 0
itemGrade = {}
score = 0
max_score = 0
response = None
for subelem in itemResult:
sub_identifier = subelem.attrib['identifier']
#print(sub_identifier)
sub_split = sub_identifier.split('_')
if subelem.attrib['identifier'] == 'SCORE':
for subelem2 in subelem:
score = int(subelem2.text)
g.apm_total += score
elif subelem.attrib['identifier'] == 'MAXSCORE':
for subelem2 in subelem:
max_score = int(subelem2.text)
g.apm_max_score += max_score
elif sub_split[0] == 'RESPONSE':
#print('inside response')
for subelem2 in subelem:
for subelem3 in subelem2:
response = subelem3.text
print('response : ', response)
if response is not None:
papi_alpha = response.split('_')
if papi_alpha[0].lower() == 'k':
#pass
g.papi_score[papi_alpha[0].lower(
)] = g.papi_score[papi_alpha[0].lower()] + 1
prescale = scale.scale(
'papikostik_k',
g.papi_score[papi_alpha[0].lower()])
elif papi_alpha[0].lower() == 'z':
#pass
g.papi_score[papi_alpha[0].lower(
)] = g.papi_score[papi_alpha[0].lower()] + 1
prescale = scale.scale(
'papikostik_z',
g.papi_score[papi_alpha[0].lower()])
else:
#pass
g.papi_score[papi_alpha[0].lower(
)] = g.papi_score[papi_alpha[0].lower()] + 1
prescale = g.papi_score[papi_alpha[0].lower()]
#g.papi_score_scaled[papi_alpha[0].lower()] = scale.scale('papikostik20', g.papi_score[papi_alpha[0].lower()])
g.papi_score_scaled[
papi_alpha[0].lower()] = scale.scale(
'papikostik20', prescale)
#print('papi_score : ' , g.papi_score[papi_alpha[0].lower()])
#print('papi_score_scaled : ' , papi_score_scaled[papi_alpha[0].lower()])
else:
g.apm_empty += 1
validity = False
validity_message = 'there are unanswered questions'
itemGrade["candidate_response"] = response
data = {}
data["type"] = 'papi'
data["scores"] = {}
data["scores"]["raw"] = g.papi_score
data["scores"]["scale20"] = g.papi_score_scaled
data["scores"]["total"] = g.apm_total
data["scores"]["max_score"] = g.apm_max_score
data["scores"]["validity"] = validity
data["scores"]["validity_message"] = validity_message
data["answers"] = {}
data["answers"]["empty"] = g.apm_empty
data["attributes"] = itemGrade
#print (g.papi_score)
#g.papi['e'] += 1
#print (g.papi['e'])
#print (g.papi_score_scaled)
return data