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ScheduleGeneratorApp/app/generator.py
T
2022-11-09 09:42:36 -08:00

553 lines
22 KiB
Python

#!/usr/bin/env python3.11
import json
import random
from string import hexdigits
from app.util.globals import flex, Error
from app.util.estimateGrade import getGradeFromCourseCode
# Takes in information to create or add a new conflict
# Returns if the particular student has a previous error
def newConflict(pupilNum: str, email: str, conflictType: str, code: str, description: str, logs: dict) -> bool:
exists = True if pupilNum in logs else False
log = {
"Pupil #": pupilNum,
"Email": email,
"Type": conflictType,
"Code": code,
"Conflict": description
}
if exists: logs[pupilNum].append(log)
else: logs[pupilNum] = [log]
return exists if conflictType == "Critical" else False
def insertConflictSolutions(pupilNum: str, logs: dict, data: dict) -> None:
log = logs[pupilNum]
for conflict in log:
if conflict["Type"] == "Critical":
conflict["Missing"] = data
break
# V3 differs a lot by V1/2 as it does not focus on fitting the classes
# into the time table first.
# It starts by trying to get all classes full and give all students a full class list.
# Then it starts to attempt to fit all classes into a timetable, making corretions along
# the way. Corrections being moving a students class
def generateScheduleV3(
students: list, # Refer to /util/mockStudents.py to see the students list structure
courses: dict, # Reger to /util/generateCourses.py to see the courses dictionary structure
minReq: int=18, # minimum requests for a class to run
classCap: int=30, # maximum students per class
blockClassLimit: int=40, # Block class limit is the number of classrooms available per block. Default 40 classes per block
totalBlocks: int=10, # total blocks between two semesters -> default is 10 for 5 per semester... or this can be 8 for 4 blocks per semester
studentsDir: str="../output/raw/students.json",
conflictsDir: str="../output/raw/conflicts.json",
coursesDir: str="../output/raw/courses.json"
) -> tuple[dict, Error]: # Returns the completed 'running' dictionary from above
# Return error that totalBlocks is invalid
if totalBlocks not in (10, 8):
totalBlockError = Error('Invalid totalBlocks', 'An invalid \'totalBlocks\' value was provided -> must be 10 or 8')
return (None, totalBlockError) # return none an signal failure
# First we need to setup some values
median = (minReq + classCap) // 2
blockPerSem = int(totalBlocks / 2)
running = {}
for i in range(1, totalBlocks + 1):
running[f'block{i}'] = {}
def equal(l: list) -> list: # Used to equalize list of numbers
q,r = divmod(sum(l),len(l))
return [q+1]*r + [q]*(len(l)-r)
# Step 1 - Calculate which classes can run
activeCourses = {}
for student in students:
# Tally class request
for request in (request for request in student["requests"] if not request["alt"] and request["CrsNo"] not in flex):
code = request["CrsNo"]
courses[code]["Requests"] += 1
# Add course to active list if enough requests
if courses[code]["Requests"] > minReq and courses[code]["CrsNo"] not in activeCourses:
activeCourses[code] = courses[code]
# Step 2 - Generate empty classes
allClassRunCounts = []
courseRunInfo = {} # Generated now, used in step 4
emptyClasses = {} # List of all classes with how many students should be entered during step 3
# calculate number of times to run class
for i in range(len(activeCourses)):
index = list(activeCourses)[i]
if index not in emptyClasses: emptyClasses[index] = {}
classRunCount = activeCourses[index]["Requests"] // median
remaining = activeCourses[index]["Requests"] % median
# Put number of classRunCount classes in emptyClasses
for j in range(classRunCount):
emptyClasses[index][f"{index}-{hexdigits[j]}"] = {
"CrsNo": index,
"Description": activeCourses[index]["Description"],
"expectedLen": median # Number of students expected in this class / may be altered later
}
# If remaining fit in open slots in existing classes
if remaining <= classRunCount * (classCap - median):
# Equally disperse remaining into existing classes
for j in range(classRunCount):
if remaining == 0: break
emptyClasses[index][f"{index}-{hexdigits[j]}"]["expectedLen"] += 1
remaining -= 1
# If we can create a class using remaining, create class
elif remaining >= minReq:
# Create a class using remaining
emptyClasses[index][f"{index}-{hexdigits[classRunCount]}"] = {
"CrsNo": index,
"Description": activeCourses[index]["Description"],
"expectedLen": remaining
}
classRunCount += 1
# If a class previously existed
if classRunCount >= 2:
# Equalize (level) class expectedLen's
expectedLengths = [emptyClasses[index][f"{index}-{hexdigits[j]}"]["expectedLen"] for j in range(classRunCount)]
newExpectedLens = equal(expectedLengths)
for j in range(len(newExpectedLens)):
emptyClasses[index][f"{index}-{hexdigits[j]}"]["expectedLen"] = newExpectedLens[j]
# Else if we can't fit remaining into available slots in existing classes,
# and it's unable to create its own class,
# and the required amount (minReq - remaining) to make a class is less than
# the number that existing classes can provide (classRunCount * (median - minReq))
elif minReq - remaining < classRunCount * (median - minReq):
# Take 1 from each class till min requirment met
for j in range(classRunCount):
emptyClasses[index][f"{index}-{hexdigits[j]}"]["expectedLen"] -= 1
remaining += 1
if remaining == minReq: break
# Create a class using remaining + required amount from existing classes
emptyClasses[index][f"{index}-{hexdigits[classRunCount]}"] = {
"CrsNo": index,
"Description": activeCourses[index]["Description"],
"expectedLen": remaining
}
classRunCount += 1
# Equalize (level) class expectedLen's
expectedLengths = [emptyClasses[index][f"{index}-{hexdigits[j]}"]["expectedLen"] for j in range(classRunCount)]
newExpectedLens = equal(expectedLengths)
for j in range(len(newExpectedLens)):
emptyClasses[index][f"{index}-{hexdigits[j]}"]["expectedLen"] = newExpectedLens[j]
else:
# In the case that the remaining requests are unable to be resolved
# Fill as many requests into existing classes. Any left that can't fit,
# Will need to be ignored so later we can fold them into their alternative
# requests
for j in range(classRunCount):
if remaining == 0: break
if emptyClasses[index][f"{index}-{hexdigits[j]}"]["expectedLen"] < classCap:
emptyClasses[index][f"{index}-{hexdigits[j]}"]["expectedLen"] += 1
remaining -= 1
courseRunInfo[index] = {
"Total": classRunCount,
"CrsNo": index
}
allClassRunCounts.append(classRunCount)
# Step 3 - Fill 'emptyClasses' with Students
selectedCourses = {}
tempStudents = list(students)
while len(tempStudents) > 0:
# Choose random student to prevent any success
# bias to students at the top of the list
student = tempStudents[random.randint(0, len(tempStudents)-1)]
alternates = [request for request in student["requests"] if request["alt"]]
for request in (request for request in student["requests"] if not request["alt"] and request["CrsNo"] not in flex):
course = request["CrsNo"]
getAvailableCourse = True
isAlt = False
while getAvailableCourse:
if course in emptyClasses:
# if course exists, get first available class
for cname in emptyClasses[course]:
if cname in selectedCourses:
if isAlt and emptyClasses[course][cname]["expectedLen"] < classCap:
emptyClasses[course][cname]["expectedLen"] += 1
if len(selectedCourses[cname]["students"]) < emptyClasses[course][cname]["expectedLen"]:
# Class exists with room for student
selectedCourses[cname]["students"].append({
"Pupil #": student["Pupil #"],
"index": student["studentIndex"]
})
getAvailableCourse = False
break
elif len(selectedCourses[cname]["students"]) == emptyClasses[course][cname]["expectedLen"]:
# If class is full, and there's no more classes available for that course
if cname[len(cname)-1] == f"{len(emptyClasses[course])-1}":
if len(alternates) > 0:
# Use alternate
course = alternates[0]["CrsNo"]
alternates.remove(alternates[0])
isAlt = True
break
else:
# Force break loop, ignore and let an admin
# handle options to solve for missing class
getAvailableCourse = False
break
elif cname not in selectedCourses:
selectedCourses[cname] = {
"students": [{
"Pupil #": student["Pupil #"],
"index": student["studentIndex"]
}],
"CrsNo": course,
"Description": courses[course]["Description"]
}
getAvailableCourse = False
break
elif course not in emptyClasses:
if len(alternates) > 0:
# Use alternate
course = alternates[0]["CrsNo"]
alternates.remove(alternates[0])
isAlt = True
else:
# Force break loop, ignore and let an admin
# handle options to solve for missing class
getAvailableCourse = False
students[student["studentIndex"]]["remainingAlts"] = alternates
tempStudents.remove(student)
# Step 4 - Attempt to fit classes into timetable
def stepIndex(offset: int, stepType: int) -> int:
# ALl this logic handles taking the # of blocks per semester, 4 or 5 and calculating
# the number used to step between the index of the first or second semester
# stepType 0 is for stepping between first and second semester
if stepType == 0: return blockPerSem if offset in (0, (-1 * (blockPerSem - 1))) else (-1 * (blockPerSem - 1))
# stepType 1 is for stepping between second and first semester
elif stepType == 1: return (-1 * blockPerSem) if offset in (0, (blockPerSem + 1)) else (blockPerSem + 1)
# Return Error if code is altered to cause error
else:
invalidStepTypeError = Error('Invalid stepType', 'An invalid \'stepType\' was passed to func \'stepIndex\'')
return (None, invalidStepTypeError)
# Create copy for step 6
courseRunInfoCopy = dict(courseRunInfo)
while len(allClassRunCounts) > 0:
# Get highest resource class (most times run)
index = allClassRunCounts.index(max(allClassRunCounts))
course = list(courseRunInfo)[index]
# Tally first and second semester
allSemBlockLens = [len(running[f'block{i}']) for i in range(1, totalBlocks + 1)]
# If there is more than one class Running
if allClassRunCounts[index] > 1:
blockIndex = allSemBlockLens.index(min(allSemBlockLens))
stepType = 0 if blockIndex < blockPerSem else 1
offset = 0
# Spread classes throughout both semesters
for i in range(courseRunInfo[course]["Total"]):
cname = f"{course}-{hexdigits[i]}"
classInserted = False
while not classInserted:
blockIndex += offset
if len(running[f'block{blockIndex+1}']) < blockClassLimit:
running[list(running)[blockIndex]][cname] = {
"CrsNo": course,
"Description": emptyClasses[course][cname]["Description"],
"students": selectedCourses[cname]["students"]
}
allClassRunCounts[index] -= 1
classInserted = True
offset = stepIndex(offset, stepType)
if blockIndex >= (totalBlocks - 1):
blockIndex = 0 if stepType == 0 else blockPerSem
offset = 0
# If the class only runs once, place in semester with least classes
elif allClassRunCounts[index] == 1:
# Equally disperse into semesters classes
# Get block with least classes
leastBlock = allSemBlockLens.index(min(allSemBlockLens)) + 1
cname = f"{course}-0"
running[f"block{leastBlock}"][cname] = {
"CrsNo": course,
"Description": emptyClasses[course][cname]["Description"],
"students": selectedCourses[cname]["students"],
}
allClassRunCounts[index] -= 1
# Remove course when fully inserted
if allClassRunCounts[index] == 0:
allClassRunCounts.remove(allClassRunCounts[index])
courseRunInfo.pop(list(courseRunInfo)[index])
# Step 5 - Fill student schedule
for block in running:
for cname in running[block]:
for student in running[block][cname]["students"]:
students[student["index"]]["schedule"][block].append(cname)
students[student["index"]]["classes"] += 1
# Step 6 - Evaluate, move students to fix conflicts
conflictLogs = {}
criticalCount, acceptableCount = 0, 0
c_mc_count, c_cr_count, a_mc_count = 0, 0, 0
studentsCritical, studentsAcceptable = 0, 0
for student in students:
blocks = [student["schedule"][block] for block in student["schedule"]]
hasConflicts = True if sum(1 for b in blocks if len(b)>1) > 0 else False
# If there is no conflicts
# and classes inserted to is equal to expectedClasses
# or classes the student is inserted to is missing
# no more than two classes:
# continue to next student
if not hasConflicts and student["classes"] == student["expectedClasses"]: continue
elif not hasConflicts and (student["expectedClasses"]-2) <= student["classes"] < student["expectedClasses"]:
# TODO: Insert alternates if available?
a_mc_count += 1
acceptableCount += 1
if not newConflict(student["Pupil #"], "", "Acceptable", "A-MC", "Missing 1-2 Classses", conflictLogs): studentsAcceptable += 1
continue
studentData = {
"Pupil #": student["Pupil #"],
"index": student["studentIndex"]
}
if hasConflicts:
student["classes"] = 0
missing = []
# Clear student schedule to restructure
for block in student["schedule"]:
[running[block][cname]["students"].remove(studentData) for cname in student["schedule"][block]]
student["schedule"][block] = []
# Find class in student schedule that's run the least
classes, runCounts = [], []
for block in blocks:
for cname in block:
classes.append(cname[:-2])
runCounts.append(courseRunInfoCopy[cname[:-2]]["Total"])
# Rebuild student schedule
availableBlocks = [f'block{i}' for i in range(1, totalBlocks + 1)]
while len(classes) > 0:
index = runCounts.index(min(runCounts)) # Get class least run
found = False
# find slot for class
for block in availableBlocks:
if found: break
for cname in running[block]:
if cname[:-2] == classes[index] and len(running[block][cname]["students"]) < classCap:
running[block][cname]["students"].append(studentData)
student["schedule"][block].append(cname)
availableBlocks.remove(block)
student["classes"] += 1
found = True
break
if not found:
# Determine all places class exists
existsIn, existingClassNames = [], []
for block in running:
for cname in running[block]:
if cname[:-2] == classes[index] and len(running[block][cname]["students"]) < classCap:
existsIn.append(block)
existingClassNames.append(cname)
# Attempt to fix
solution = False
if len(existsIn) > 0:
for i, existing in enumerate(existsIn):
if solution: break
classOut = student["schedule"][existing][0]
for block in running:
if solution: break
if block == existing or block not in availableBlocks: continue
for cname in running[block]:
if cname[:-2] == classOut[:-2] and len(running[block][cname]["students"]) < classCap:
student["classes"] += 1
# Move to existing class elsewhere
student["schedule"][block].append(cname)
running[block][cname]["students"].append(studentData)
# Overwrite old class
running[existing][student["schedule"][existing][0]]["students"].remove(studentData)
student["schedule"][existing][0] = existingClassNames[i]
running[existing][existingClassNames[i]]["students"].append(studentData)
solution = True
break
if not solution:
# Try alternate
alternates = [alt["CrsNo"] for alt in students[student["studentIndex"]]["remainingAlts"] if alt["CrsNo"] not in flex and alt["CrsNo"] in courseRunInfoCopy]
if len(alternates) == 0: # If no alternates, create critical error
c_cr_count += 1
criticalCount += 1
missing.append({
"block": f'block{index + 1}',
"CrsNo": classes[index]
})
if not newConflict(
student["Pupil #"],
"", # Student Email
"Critical", # Err type
"C-CR", # Err code
"Couldn't Resolve", # Err msg
conflictLogs): # logs dir
studentsCritical += 1
else:
# Get alternate least run
altRunCounts = [courseRunInfoCopy[alt]["Total"] for alt in alternates]
altIndex = altRunCounts.index(min(altRunCounts))
# add alternate
classes.append(alternates[altIndex])
runCounts.append(altRunCounts[altIndex])
# Remove alternate from remaining alternates
for remaining in students[student["studentIndex"]]["remainingAlts"]:
if remaining["CrsNo"] == alternates[altIndex]:
students[student["studentIndex"]]["remainingAlts"].remove(remaining)
# Remove class after inserted or failed to insert
classes.remove(classes[index])
runCounts.remove(runCounts[index])
# Collect missing course data and solutions
if len(missing) > 0:
data = []
if student["gradelevel"] is None:
for obj in missing:
data["missing"].append({
"CrsNo": obj["CrsNo"],
"block": obj['block'],
"solutions": None,
"error": "Unable to find solutions, err no grade"
})
else:
for obj in missing:
blockSolution = { "CrsNo": obj["CrsNo"], "block": obj['block'], "solutions": [] }
for cname in running[obj['block']]:
courseGrade = getGradeFromCourseCode(cname[:-2])
if courseGrade is None: continue
if (student["gradelevel"] == courseGrade) or (student["gradelevel"] == 12 and courseGrade == 11):
if len(running[obj['block']][cname]["students"]) < classCap:
blockSolution["solutions"].append({
"CrsNo": cname,
"Description": running[obj['block']][cname]["Description"]
})
data.append(blockSolution)
insertConflictSolutions(student["Pupil #"], conflictLogs, data)
metSelfRequirements = True if student["classes"] == student["expectedClasses"] else False
if not metSelfRequirements:
if (student["expectedClasses"] - 2) <= student["classes"] < student["expectedClasses"]:
a_mc_count += 1
acceptableCount += 1
if not newConflict(student["Pupil #"], "", "Acceptable", "A-MC", "Missing 1-2 Classses", conflictLogs): studentsAcceptable += 1
elif student["classes"] < (student["expectedClasses"] - 2):
# Difference between classes inserted to and
# expected classes is too great
if student["Pupil #"] in conflictLogs:
c_mc_count += 1
criticalCount += 1
if not newConflict(student["Pupil #"], "", "Critical", "C-MC", "Missing too many Classses", conflictLogs): studentsCritical += 1
finalConflictLogs = {
"Conflicts": conflictLogs,
"Critical": {
"Total": criticalCount,
"Students": studentsCritical,
"Errors": [{
"Total": c_mc_count,
"Description": "Missing too many Classes",
"Code": "C-MC"
}, {
"Total": c_cr_count,
"Description": "Couldn't Resolve",
"Code": "C-CR"
}]
},
"Acceptable": {
"Total": acceptableCount,
"Students": studentsAcceptable,
"Errors": [{
"Total": a_mc_count,
"Description": "Missing 1-2 Classes",
"Code": "A-MC"
}]
}
}
# Log Conflict to records
with open(conflictsDir, "w") as outfile:
json.dump(finalConflictLogs, outfile, indent=2)
# Insert flex (spare) course codes to empty blocks
for student in students:
for block in student["schedule"]:
if len(student["schedule"][block]) == 0:
i = 0 if int(block[5:]) <= blockPerSem else 1
student["schedule"][block].append(flex[i])
# Read timetable and collect data on courses
for block in running:
for course in running[block]:
sem = "Sem1" if int(block[5:]) <= blockPerSem else "Sem2"
courses[running[block][course]["CrsNo"]][sem] += 1
# Update/log new student records
with open(studentsDir, "w") as outfile:
json.dump(students, outfile, indent=2)
# Update/log new course records
with open(coursesDir, "w") as outfile:
json.dump(courses, outfile, indent=2)
return (running, None)