521 lines
18 KiB
Python
521 lines
18 KiB
Python
#! python
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import json
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import random
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from inspect import currentframe
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from string import hexdigits
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# Import from custom utilities
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from util.mockStudents import getSampleStudents
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from util.generateCourses import getSampleCourses
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'''
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Block 1-5 is first semester while
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block 6-10 is second semester
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schedule example:
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schedule: {
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"block1": "className",
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"block2": "className",
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"block3": "className",
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...
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}
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running example:
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running: {
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"block1": {
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classCode: {
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"className": name,
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"students": [student Name]
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},
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classCode: {
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"className": name,
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"students": [student Name]
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}
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},
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...
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}
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'''
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def getLineNumber(): return currentframe().f_back.f_lineno
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# Takes in information to create or add a new conflict
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# Returns if the particular student has a previous error
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def newConflict(pupilNum: str, email: str, conflictType: str, code: str, description: str, logs: dict) -> bool:
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exists = True if pupilNum in logs else False
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log = {
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"Pupil #": pupilNum,
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"Email": email,
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"Type": conflictType,
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"Code": code,
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"Conflict": description
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}
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if exists: logs[pupilNum].append(log)
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else: logs[pupilNum] = [log]
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return exists if conflictType == "Critical" else False
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minReq, median, classCap = 18, 24, 30
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activeCourses = {}
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running = {
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"block1": {},
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"block2": {},
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"block3": {},
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"block4": {},
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"block5": {},
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"block6": {},
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"block7": {},
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"block8": {},
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"block9": {},
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"block10": {}
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}
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# These are the codes for Flex (spare) blocks
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# Semester 1 and 2
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flex = ("XAT--12A-S", "XAT--12B-S")
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# V3 differs a lot by V1/2 as it does not focus on fitting the classes
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# into the time table first.
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# It starts by trying to get all classes full and give all students a full class list.
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# Then it starts to attempt to fit all classes into a timetable, making corretions along
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# the way. Corrections being moving a students class
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def generateScheduleV3(
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students: list,
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courses: dict,
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blockClassLimit: int=40,
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studentsDir: str="../output/students.json",
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conflictsDir: str="../output/conflicts.json"
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) -> dict[str, dict]:
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def equal(l: list) -> list: # Used to equalize list of numbers
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q,r = divmod(sum(l),len(l))
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return [q+1]*r + [q]*(len(l)-r)
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# Step 1 - Calculate which classes can run
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for student in students:
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# Tally class request
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for request in (request for request in student["requests"] if not request["alt"] and request["CrsNo"] not in flex):
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code = request["CrsNo"]
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courses[code]["Requests"] += 1
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# Add course to active list if enough requests
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if courses[code]["Requests"] > minReq and courses[code]["CrsNo"] not in activeCourses:
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activeCourses[code] = courses[code]
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# Step 2 - Generate empty classes
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allClassRunCounts = []
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courseRunInfo = {} # Generated now, used in step 4
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emptyClasses = {} # List of all classes with how many students should be entered during step 3
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# calculate # of times to run class
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for i in range(len(activeCourses)):
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index = list(activeCourses)[i]
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if index not in emptyClasses: emptyClasses[index] = {}
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classRunCount = activeCourses[index]["Requests"] // median
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remaining = activeCourses[index]["Requests"] % median
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# Put # of classRunCount classes in emptyClasses
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for j in range(classRunCount):
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emptyClasses[index][f"{index}-{hexdigits[j]}"] = {
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"CrsNo": index,
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"Description": activeCourses[index]["Description"],
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"expectedLen": median # Number of students expected in this class / may be altered
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}
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# If remaining fit in open slots in existing classes
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if remaining <= classRunCount * (classCap - median):
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# Equally disperse remaining into existing classes
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while remaining > 0:
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for j in range(classRunCount):
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if remaining == 0: break
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emptyClasses[index][f"{index}-{hexdigits[j]}"]["expectedLen"] += 1
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remaining -= 1
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# If we can create a class using remaining, but no other classes
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# exists, create class, and do not equalize
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elif remaining >= minReq:
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# Create a class using remaining
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emptyClasses[index][f"{index}-{hexdigits[classRunCount]}"] = {
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"CrsNo": index,
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"Description": activeCourses[index]["Description"],
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"expectedLen": remaining
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}
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classRunCount += 1
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if classRunCount >= 2:
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# Equalize (level) class expectedLen's
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expectedLengths = [emptyClasses[index][f"{index}-{hexdigits[j]}"]["expectedLen"] for j in range(classRunCount)]
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newExpectedLens = equal(expectedLengths)
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for j in range(len(newExpectedLens)):
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emptyClasses[index][f"{index}-{hexdigits[j]}"]["expectedLen"] = newExpectedLens[j]
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# Else if we can't fit remaining in open slots in existing classes
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# and it is unable to create its own class,
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# and requiered number to make a class is less than the max number we can provide from existing classes
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elif minReq - remaining < classRunCount * (median - minReq):
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# Take 1 from each class till min requirment met
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for j in range(classRunCount):
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emptyClasses[index][f"{index}-{hexdigits[j]}"]["expectedLen"] -= 1
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remaining += 1
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if remaining == minReq: break
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# Create a class using remaining
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emptyClasses[index][f"{index}-{hexdigits[classRunCount]}"] = {
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"CrsNo": index,
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"Description": activeCourses[index]["Description"],
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"expectedLen": remaining
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}
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classRunCount += 1
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# Equalize (level) class expectedLen's
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expectedLengths = [emptyClasses[index][f"{index}-{hexdigits[j]}"]["expectedLen"] for j in range(classRunCount)]
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newExpectedLens = equal(expectedLengths)
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for j in range(len(newExpectedLens)):
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emptyClasses[index][f"{index}-{hexdigits[j]}"]["expectedLen"] = newExpectedLens[j]
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else:
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# In the case that the remaining requests are unable to be resolved
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# Fill as many requests into class as possible, any left that can't fit,
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# Will need to be ignored so later we can fold them into their alternative
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# choices
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for j in range(classRunCount):
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if remaining == 0: break
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if emptyClasses[index][f"{index}-{hexdigits[j]}"]["expectedLen"] < classCap:
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emptyClasses[index][f"{index}-{hexdigits[j]}"]["expectedLen"] += 1
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remaining -= 1
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courseRunInfo[index] = {
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"Total": classRunCount,
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"CrsNo": index
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}
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allClassRunCounts.append(classRunCount)
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# Step 3 Fill emptyClasses with Students
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selectedCourses = {}
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tempStudents = list(students)
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while len(tempStudents) > 0:
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student = tempStudents[random.randint(0, len(tempStudents)-1)]
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alternates = [request for request in student["requests"] if request["alt"]]
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for request in (request for request in student["requests"] if not request["alt"] and request["CrsNo"] not in flex):
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course = request["CrsNo"]
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getAvailableCourse = True
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isAlt = False
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while getAvailableCourse:
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if course in emptyClasses:
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# if course exists, get first available class
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for cname in emptyClasses[course]:
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if cname in selectedCourses:
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if isAlt and emptyClasses[course][cname]["expectedLen"] < classCap:
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emptyClasses[course][cname]["expectedLen"] += 1
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if len(selectedCourses[cname]["students"]) < emptyClasses[course][cname]["expectedLen"]:
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# Class exists with room for student
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selectedCourses[cname]["students"].append({
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"Pupil #": student["Pupil #"],
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"index": student["studentIndex"]
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})
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getAvailableCourse = False
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break
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elif len(selectedCourses[cname]["students"]) == emptyClasses[course][cname]["expectedLen"]:
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# If class is full, and is last class of that course
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if cname[len(cname)-1] == f"{len(emptyClasses[course])-1}":
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if len(alternates) > 0:
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# Use alternate
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course = alternates[0]["CrsNo"]
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alternates.remove(alternates[0])
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isAlt = True
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break
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else:
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# Force break loop, ignore and let an admin
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# handle options to solve for missing class
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getAvailableCourse = False
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break
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elif cname not in selectedCourses:
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selectedCourses[cname] = {
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"students": [{
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"Pupil #": student["Pupil #"],
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"index": student["studentIndex"]
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}],
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"CrsNo": course,
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"Description": courses[course]["Description"]
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}
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getAvailableCourse = False
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break
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elif course not in emptyClasses:
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if len(alternates) > 0:
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# Use alternate
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course = alternates[0]["CrsNo"]
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alternates.remove(alternates[0])
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isAlt = True
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else:
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# Force break loop, ignore and let an admin
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# handle options to solve for missing class
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getAvailableCourse = False
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students[student["studentIndex"]]["remainingAlts"] = alternates
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tempStudents.remove(student)
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# Step 4 - Attempt to fit classes into timetable
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def stepIndex(offset: int, stepType: int) -> int:
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# stepType 0 is for stepping between first and second semester
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if stepType == 0: return 5 if offset == 0 or offset == -4 else -4
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# stepType 1 is for stepping between second and first semester
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elif stepType == 1: return -5 if offset == 0 or offset == 6 else 6
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# Return Error if code is altered to cause error
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else: raise SystemExit(f"Invalid 'stepType' in func 'stepIndex' line {getLineNumber()}")
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# Create copy for step 6
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courseRunInfoCopy = dict(courseRunInfo)
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while len(allClassRunCounts) > 0:
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# Get highest resource class (most times run)
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index = allClassRunCounts.index(min(allClassRunCounts))
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course = list(courseRunInfo)[index]
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# Tally first and second semester
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sem1, sem2 = 0, 0
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sem1List, sem2List = {}, {}
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for i in range(1, 11):
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if i <= 5:
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sem1 += len(running[f"block{i}"])
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sem1List[f"block{i}"] = running[f"block{i}"]
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elif i > 5:
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sem2 += len(running[f"block{i}"])
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sem2List[f"block{i}"] = running[f"block{i}"]
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# If there is more than one class Running
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if allClassRunCounts[index] > 1:
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blockIndex = 0 if sem1 <= sem2 else 5
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stepType = 0 if sem1 <= sem2 else 1
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offset = 0
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# Spread classes throughout both semesters
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for i in range(courseRunInfo[course]["Total"]):
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cname = f"{course}-{hexdigits[i]}"
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classInserted = False
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while not classInserted:
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blockIndex += offset
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if len(running[list(running)[blockIndex]]) < blockClassLimit:
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running[list(running)[blockIndex]][cname] = {
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"CrsNo": course,
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"Description": emptyClasses[course][cname]["Description"],
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"students": selectedCourses[cname]["students"]
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}
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allClassRunCounts[index] -= 1
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classInserted = True
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offset = stepIndex(offset, stepType)
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if blockIndex >= 9:
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blockIndex = 0 if sem1 <= sem2 else 5
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offset = 0
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# If the class only runs once, place in semester with least classes
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elif allClassRunCounts[index] == 1:
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# Equally disperse into semesters classes
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semBlocks = []
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offset = 1
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if sem1 <= sem2:
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for block in sem1List:
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semBlocks.append(len(block))
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# If sem1 is less than or equal to sem2, add to sem1
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if sem1 <= sem2: [semBlocks.append(len(block)) for block in sem1List]
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# If sem2 is less than sem1, add to sem2
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elif sem1 > sem2: [semBlocks.append(len(block)) for block in sem2List]
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# Get block with least classes
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leastBlock = semBlocks.index(min(semBlocks))
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cname = f"{course}-0"
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running[f"block{leastBlock+offset}"][cname] = {
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"CrsNo": course,
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"Description": emptyClasses[course][cname]["Description"],
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"students": selectedCourses[cname]["students"],
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}
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allClassRunCounts[index] -= 1
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# Remove course when fully inserted
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if allClassRunCounts[index] == 0:
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allClassRunCounts.remove(allClassRunCounts[index])
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courseRunInfo.pop(list(courseRunInfo)[index])
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# Step 5 - Fill student schedule
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for block in running:
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for cname in running[block]:
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for student in running[block][cname]["students"]:
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students[student["index"]]["schedule"][block].append(cname)
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students[student["index"]]["classes"] += 1
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# Step 6 - Evaluate, move students to fix conflicts
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conflictLogs = {}
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criticalCount, acceptableCount = 0, 0
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c_mc_count, c_cr_count, a_mc_count = 0, 0, 0
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studentsCritical, studentsAcceptable = 0, 0
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for student in students:
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blocks = [student["schedule"][block] for block in student["schedule"]]
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hasConflicts = True if sum(1 for b in blocks if len(b)>1) > 0 else False
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# If there is no conflicts
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# and classes inserted to is equal to expectedClasses
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# or classes the student is inserted to is missing
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# no more than two classes:
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# continue to next student
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if not hasConflicts and student["classes"] == student["expectedClasses"]: continue
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elif not hasConflicts and (student["expectedClasses"]-2) <= student["classes"] < student["expectedClasses"]:
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a_mc_count += 1
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acceptableCount += 1
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if not newConflict(student["Pupil #"], "", "Acceptable", "A-MC", "Missing 1-2 Classses", conflictLogs): studentsAcceptable += 1
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continue
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studentData = {
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"Pupil #": student["Pupil #"],
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"index": student["studentIndex"]
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}
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if hasConflicts:
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# Clear student schedule
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for block in student["schedule"]:
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[running[block][cname]["students"].remove(studentData) for cname in student["schedule"][block]]
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student["schedule"][block] = []
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# Find what class in student schedule has least run time
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classes, runCounts = [], []
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for block in blocks:
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for cname in block:
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classes.append(cname[:-2])
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runCounts.append(courseRunInfoCopy[cname[:-2]]["Total"])
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# Rebuild student schedule
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availableBlocks = [f'block{i}' for i in range(1, 11)]
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while len(classes) > 0:
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index = runCounts.index(min(runCounts)) # Get class least run
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found = False
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# find slot for class
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for block in availableBlocks:
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if found: break
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for cname in running[block]:
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if cname[:-2] == classes[index] and len(running[block][cname]["students"]) < classCap:
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running[block][cname]["students"].append(studentData)
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student["schedule"][block].append(cname)
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availableBlocks.remove(block)
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found = True
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break
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# Remove class after inserted or failed to insert
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classes.remove(classes[index])
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runCounts.remove(runCounts[index])
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if not found:
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# Try alternate
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alternates = [alt["CrsNo"] for alt in students[student["studentIndex"]]["remainingAlts"] if alt["CrsNo"] not in flex and alt["CrsNo"] in courseRunInfoCopy]
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if len(alternates) == 0: # If not alternates, create critical error
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c_cr_count += 1
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criticalCount += 1
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if not newConflict(student["Pupil #"], "", "Critical", "C-CR", "Couldn't Resolve", conflictLogs): studentsCritical += 1
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else:
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# Get alternate least run
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altRunCounts = [courseRunInfoCopy[alt]["Total"] for alt in alternates]
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altIndex = altRunCounts.index(min(altRunCounts))
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# add alternate
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classes.append(alternates[altIndex])
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runCounts.append(altRunCounts[altIndex])
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# Remove alternate from remaining alternates
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for remaining in students[student["studentIndex"]]["remainingAlts"]:
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if remaining["CrsNo"] == alternates[altIndex]:
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students[student["studentIndex"]]["remainingAlts"].remove(remaining)
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metSelfRequirements = True if student["classes"] == student["expectedClasses"] else False
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while not metSelfRequirements:
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if (student["expectedClasses"] - 2) <= student["classes"] < student["expectedClasses"]:
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a_mc_count += 1
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acceptableCount += 1
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if not newConflict(student["Pupil #"], "", "Acceptable", "A-MC", "Missing 1-2 Classses", conflictLogs): studentsAcceptable += 1
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break
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elif student["classes"] < (student["expectedClasses"] - 2):
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# Difference between classes inserted to and
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# expected classes is too great, attempt to fix
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if student["Pupil #"] in conflictLogs:
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c_mc_count += 1
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criticalCount += 1
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if not newConflict(student["Pupil #"], "", "Critical", "C-MC", "Missing too many Classses", conflictLogs): studentsCritical += 1
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break
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else:
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print(f"Fatal error ({getLineNumber()}): Impossible error")
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break
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finalConflictLogs = {
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"Conflicts": conflictLogs,
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"Critical": {
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"Total": criticalCount,
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"Students": studentsCritical,
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"Errors": [{
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"Total": c_mc_count,
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"Description": "Missing too many Classes",
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"Code": "C-MC"
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}, {
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"Total": c_cr_count,
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"Description": "Couldn't Resolve",
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"Code": "C-CR"
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}]
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},
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"Acceptable": {
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"Total": acceptableCount,
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"Students": studentsAcceptable,
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"Errors": [{
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"Total": a_mc_count,
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"Description": "Missing 1-2 Classes",
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"Code": "A-MC"
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}]
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}
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}
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# Log Conflict to records
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with open(conflictsDir, "w") as outfile:
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json.dump(finalConflictLogs, outfile, indent=2)
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for student in students:
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for block in student["schedule"]:
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if len(student["schedule"][block]) == 0:
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student["schedule"][block].append(flex[0]) if int(block[5:]) <= 5 else student["schedule"][block].append(flex[1])
|
|
|
|
# Update Student records
|
|
with open(studentsDir, "w") as outfile:
|
|
json.dump(students, outfile, indent=2)
|
|
|
|
return running
|
|
|
|
if __name__ == '__main__':
|
|
print("Processing...")
|
|
|
|
sampleStudents = getSampleStudents(True)
|
|
samplemockCourses = getSampleCourses(True)
|
|
timetable = {}
|
|
timetable["Version"] = 3
|
|
timetable["timetable"] = generateScheduleV3(sampleStudents, samplemockCourses)
|
|
|
|
with open("../output/timetable.json", "w") as outfile:
|
|
json.dump(timetable, outfile, indent=2)
|
|
|
|
print("Done") |