def startAlgo():
print("Initializing and reading from db")
Coordinator.initalizeStatic()
print("Algorithm starts")
start = time.time()
lss = geneticScheduler(500,
100,
5,
mutateProb=0.8,
elitismOffset=5,
mutateRate=0.015)
print([f.fitnessValue for f in lss])
elasped = time.time() - start
print("time taken = {}s".format(elasped))
answer = sorted(lss, key=lambda coord: coord.fitnessValue)[0]
# if answer.fitnessValue > 1: raise Exception("Hard Constraints not Satisfied")
#key into database
#deletes all previous data
models.CourseClass.query.delete()
for cc in answer.courseClasses:
stgString = cc.studentGroups[0].name
profString = cc.professors[0].name
for i in range(1, len(cc.studentGroups)):
stgString += ",{}".format(cc.studentGroups[i].name)
for j in range(1, len(cc.studentGroups)):
profString += ",{}".format(cc.professors[j].name)
day = cc.day
startTime = cc.startTime
endTime = cc.endTime
roomName = cc.slots[0].room.name
courseName = cc.course.name
courseClassDb = models.CourseClass(course=courseName,
studentGroups=stgString,
professors=profString,
day=day,
startTime=startTime,
endTime=endTime,
room=roomName)
db.session.add(courseClassDb)
#adding soft constraints
for prof in answer.professors:
name = prof.name
currProf = models.Professor.query.filter(
models.Professor.name == name).first()
currProf.satisfied = prof.satisfied
db.session.commit()
