class WSDispatcher():
_structures = None
"""
"""
def __init__(self, source='espol'):
self._source = source
if source == 'espol':
self._structures = get_structures_espol()
C_f = 5
C_k = 3
m = 1.25
elif source == 'kuleuven':
self._structures = get_structures_kuleuven()
C_f = 4
C_k = 2
m = 2
self.academic_clusterer = AcademicClusterer( self._structures['core_courses'],
self._structures['conval_dict'],
self._structures['factors_dict'],
self._structures['_programs'],
source=source,
C_f=C_f,
C_k=C_k,
m=m )
self._start_year = -1
self._end_year = 1
self.init_estimator()
def init_estimator(self):
self.academic_estimator = AcademicFailureEstimator(self.academic_clusterer)
self.academic_estimator.init_semesters_classifier_fn()
self.academic_estimator.init_students_classifier_fn()
if self._source == 'kuleuven':
self.academic_estimator.init_classifier_fn()
@property
def structures(self):
return self._structures
"""
"""
@property
def students(self):
return json_dumps( list( self.structures['population_IDs'] ) )
"""
"""
def risk(self, json_input):
try:
_root = json_input
semester = [course['id'] for course in _root['courses']]
student_ID = int( _root['student'][0]['id'] )
start_year = _root['data'][0]['from']
end_year = _root['data'][0]['to']
if self._start_year != start_year or self._end_year != end_year:
self._start_year = start_year
self._end_year = end_year
self.academic_clusterer.set_ha_df(start_year=start_year, end_year=end_year)
self.init_estimator()
#print(self.academic_clusterer.rates)
risk, quality = self.academic_estimator.predict( student_ID=student_ID,
semester=semester
)
except:
import traceback
traceback.print_exc()
risk, quality = (0,0)
return json_dumps( {'risk':risk,'quality':quality} )
def init_estimator(self):
self.academic_estimator = AcademicFailureEstimator(self.academic_clusterer)
self.academic_estimator.init_semesters_classifier_fn()
self.academic_estimator.init_students_classifier_fn()
if self._source == 'kuleuven':
self.academic_estimator.init_classifier_fn()