def scoreTeacherrmp(teacher):
"""
TODO: Docstring
Description in english.
Returns: Return type
Parameters:
parameter -- description
"""
rmp_label_enum = sdat.enums().get('rmp')
#print(sdat.enums())
global DEBUG
if teacher.get('rmpdata') == None:
try:
if DEBUG:
print("Downloading missing RMP data for " + teacher['name'])
snc.rateThisProfessor(teacher, instructors)
except:
print("Can't rate professor, and no data!")
if teacher.get('rmpdata').get('nodata') == True:
print("No RMP data availible.")
return
for criteria in ('overall', 'wouldtakeagain', 'difficulty', 'hottness'):
print("{1:<42} {0:>5}".format(teacher['rmpdata'][criteria],
rmp_label_enum[criteria]))
def multicompare(teachers):
"""
TODO: Docstring
Description in english.
Returns: Return type
Parameters:
parameter -- description
"""
ues_label_enum = sdat.enums().get('ues')
tempdict = dict()
percentages = dict()
bad = []
if teachers == [None]:
print("No valid teachers to compare [MCUES]")
return
for teacher in teachers:
if teacher['data'].get('ues') == None:
if not args.quiet:
print("No UES data availible for " + teacher['name'])
bad.append(teacher)
if teacher == None:
bad.append(teacher)
percentages.update({teacher['name']: 0})
tempdict.update(
{teacher['id']: {
'total': 0,
'percent': 0,
'percentstr': ""
}})
for error in bad:
teachers.remove(error)
if teachers == []:
print("No valid teachers to compare after removals.")
return
for criteria in range(0, 15):
for teacher in teachers:
percent = 0
#print(teacher['name'])
for degree in range(0, 5):
percent += teacher['data']['ues'][criteria][
'degree' + str(degree + 1)] * (degree)
tempdict[teacher['id']]['total'] = teacher['data']['ues'][
criteria]['total']
try:
percent = percent / (tempdict[teacher['id']]['total'] * 4)
except ZeroDivisionError:
percent = 0
tempdict[teacher['id']]['percent'] = percent
tempdict[teacher['id']]['percentstr'] = str(round(
percent * 100, 2)) + "% "
percentages.update({teacher['name']: percent})
sortedd = sorted(percentages, key=percentages.get, reverse=True)[:5]
print("{0:<40} ".format(ues_label_enum[criteria]), end='')
for teacher in sortedd:
print("{0:<20} ".format(teacher), end='')
print("")
def multicomparermp(teachers):
"""
TODO: Docstring
Description in english.
Returns: Return type
Parameters:
parameter -- description
"""
rmp_label_enum = sdat.enums().get('rmp')
percentages = dict()
bad = []
for teacher in teachers:
percentages.update({teacher['name']: '0.0'})
if teacher.get('rmpdata') == None:
try:
if not args.quiet:
print("Downloading missing RMP data for " +
teacher['name'])
if not args.offline:
snc.rateThisProfessor(teacher, instructors)
else:
raise ValueError('OFFLINE')
except:
print("Can't rate professor, and no data!")
bad.append(teacher)
for error in bad:
teachers.remove(error)
bad = []
for teacher in teachers:
if teacher.get('rmpdata').get('nodata') == True:
#print("Removing teacher with missing data " + teacher['name'])
bad.append(teacher)
for error in bad:
teachers.remove(error)
if teachers == []:
if not args.quiet: print("No valid teachers to compare [MCR]")
return
for criteria in ('overall', 'wouldtakeagain', 'difficulty', 'hottness'):
for teacher in teachers:
percent = teacher['rmpdata'][criteria]
percentages.update({teacher['name']: percent})
#print(percentages)
sortedd = sorted(percentages,
key=percentages.get,
reverse=(criteria != 'difficulty'))[:5]
print("{0:<40} ".format(rmp_label_enum[criteria]), end='')
for teacher in sortedd:
print("{0:<20} ".format(teacher), end='')
print()
def scoreTeacherues(teacher):
"""
TODO: Docstring
Description in english.
Returns: Return type
Parameters:
parameter -- description
"""
if teacher['data'].get('ues') == None:
if not args.quiet: print("No UES data availible.")
return
print("## UES Survey data")
print("Datapoints: " + str(uesdatapoints(teacher)))
ues_label_enum = sdat.enums().get('ues')
print(
"{0:<40} {1:5}% {2:>5} [{3[0]:>3}, {3[1]:>3}, {3[2]:>3}, {3[3]:>3}, {3[4]:>3}]"
.format("Criteria", "%", "σ", ["SD", "D", "N", "A", "SA"]))
for criteria in range(0, 15):
total = teacher['data']['ues'][criteria]['total']
score = {}
for degree in range(0, 5):
score[degree] = teacher['data']['ues'][criteria]['degree' +
str(degree + 1)]
percent = 0
for degree in range(0, 5):
#print(str(percent) + " ", end='')
percent += int(score[degree] * (degree))
try:
percent = percent / (total * 4)
except ZeroDivisionError:
percent = 0
percent = round(percent * 100, 2)
try:
stdev = round(
statistics.stdev(statistify(teacher['data']['ues'][criteria])),
2)
except statistics.StatisticsError:
stdev = '-'
print(
"{0:<40} {1:5}% {2:>5} [{3[0]:>3}, {3[1]:>3}, {3[2]:>3}, {3[3]:>3}, {3[4]:>3}]"
.format(ues_label_enum[criteria], percent, stdev, score))
def multicomparelegacy(teacherlist):
"""
TODO: Docstring
Description in english.
Returns: Return type
Parameters:
parameter -- description
"""
global args
for surveytype in ['1', '2', 'H']:
label_enum = sdat.enums().get("legacy_" + surveytype)
if label_enum == None:
print(
"CODING ERROR: Missing friendly enumeration labels for survey type "
+ surveytype)
continue
tempdict = dict()
percentages = dict()
teachers = list(teacherlist)
bad = []
if teachers == [None]:
if not args.quiet: print("No valid teachers to compare [MCL1]")
continue
for teacher in teachers:
if teacher['data'].get(surveytype) == None:
if not args.quiet:
print("No v" + surveytype + " data availible for " +
teacher['name'])
bad.append(teacher)
if teacher == None:
bad.append(teacher)
percentages.update({teacher['name']: 0})
tempdict.update(
{teacher['id']: {
'total': 0,
'percent': 0,
'percentstr': ""
}})
for error in bad:
teachers.remove(error)
if teachers == []:
#if not args.quiet: print("No valid teachers to compare [MCL2]")
continue
sections = []
sections.append({
'critrange': range(0, 22),
'degrange': range(0, 6),
'scorefmtstr':
"{1:<40} {2:5}% [{0[0]:>3}, {0[1]:>3}, {0[2]:>3}, {0[3]:>3}, {0[4]:>3}, {0[5]:>3}] ",
'labels': ["EX", "VG", "GD", "FR", "PR", "VP"]
})
sections.append({
'critrange': range(22, 27),
'degrange': range(0, 7),
'scorefmtstr':
"{1:<40} {2:5}% [{0[0]:>3}, {0[1]:>3}, {0[2]:>3}, {0[3]:>3}, {0[4]:>3}, {0[5]:>3}, {0[6]:>3}] ",
'labels': ["MH", "", "", "AVG", "ML", "", "ML"]
})
for section in sections:
for criteria in section['critrange']:
for teacher in teachers:
percent = 0
for degree in section['degrange']:
percent += teacher['data'][surveytype][criteria][
'degree' + str(degree)] * (degree - 1)
tempdict[teacher['id']]['total'] = teacher['data'][
surveytype][criteria]['total']
try:
percent = percent / (tempdict[teacher['id']]['total'] *
4)
except ZeroDivisionError:
percent = 0
tempdict[teacher['id']]['percent'] = percent
tempdict[teacher['id']]['percentstr'] = str(
round(percent * 100, 2)) + "% "
percentages.update({teacher['name']: percent})
sortedd = sorted(percentages,
key=percentages.get,
reverse=True)[:5]
print("{0:<40} ".format(label_enum[criteria]), end='')
for teacher in sortedd:
print("{0:<20} ".format(teacher), end='')
print("")
def scoreTeacherlegacy(teacher):
"""
TODO: Docstring
Description in english.
Returns: Return type
Parameters:
parameter -- description
"""
if (legacydatapoints(teacher) > 1):
print("Datapoints: " + str(legacydatapoints(teacher)))
for surveytype in ['1', '2', 'H', 'C']:
if teacher['data'].get(surveytype) == None:
if not args.quiet: print("No v" + surveytype + " data availible.")
continue
else:
print("## Survey v" + surveytype + " data")
label_enum = sdat.enums().get("legacy_" + surveytype)
if label_enum == None:
print(
"CODING ERROR: Missing friendly enumeration labels for survey type "
+ surveytype)
continue
sections = []
sections.append({
'critrange': range(0, 22),
'degrange': range(0, 6),
'scorefmtstr':
"{1:<40} {2:5}% {3[0]:<5} [{0[0]:>3}, {0[1]:>3}, {0[2]:>3}, {0[3]:>3}, {0[4]:>3}, {0[5]:>3}]",
'labels': ["VP", "PR", "FR", "GD", "VG", "EX"]
})
sections.append({
'critrange': range(22, 27),
'degrange': range(0, 7),
'scorefmtstr':
"{1:<40} {2:5}% {3[0]:<5} [{0[0]:>3}, {0[1]:>3}, {0[2]:>3}, {0[3]:>3}, {0[4]:>3}, {0[5]:>3}, {0[6]:>3}]",
'labels': ["MH", "", "", "AVG", "ML", "", "ML"]
})
for section in sections:
print(section['scorefmtstr'].format(section['labels'], "Criteria",
"%", ["σ"]))
for criteria in section['critrange']:
total = teacher['data'][surveytype][criteria]['total']
score = {}
for degree in section['degrange']:
score[degree] = teacher['data'][surveytype][criteria][
'degree' + str(degree)]
percent = 0
for degree in section['degrange']:
percent += int(score[degree] * (degree))
try:
percent = percent / (total * (len(section['labels'])) - 1)
except ZeroDivisionError:
percent = 0
try:
stdev = round(
statistics.stdev(
statistify(teacher['data'][surveytype][criteria])),
2)
except statistics.StatisticsError:
stdev = '-'
print(section['scorefmtstr'].format(
score, label_enum[criteria], str(round(percent * 100, 2)),
[stdev]))