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#!/usr/bin/env python 3.11
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from docx.shared import Inches
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from app.util.globals import flex
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import docx
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def putMasterTimetable(timetable: dict) -> None:
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pass
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def putScheduleToWord(courses: dict, student: dict, output_dir: str='../../output/final/student_schedules') -> None:
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# create an instance of a word doc.
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doc = docx.Document()
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doc.add_heading(f'Schedule for Student {student["Pupil #"]}')
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# Create a table object
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table = doc.add_table(rows=1, cols=3)
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table.autofit = True
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table.style = 'Colorful List'
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# course name + (code) | block | semester
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row = table.rows[0].cells
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row[0].text = 'Course'
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row[1].text = 'Block'
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row[2].text = 'Sem.'
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table.columns[0].width = Inches(3.5)
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table.columns[1].width = Inches(0.75)
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table.columns[2].width = Inches(0.75)
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for block in student['schedule']:
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courseCode = student["schedule"][block][0]
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if courseCode in flex: courseName = 'Study'
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else: courseName = courses[courseCode[:-2]]["Description"]
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blockNum = int(block.split('block')[1])
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semester = 2 if blockNum > 5 else 1
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if blockNum > (len(student["schedule"])/2): blockNum -= (len(student["schedule"])/2)
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row = table.add_row().cells
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row[0].text = f'{courseName}\n({courseCode})'
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row[1].text = str(blockNum)
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row[2].text = str(semester)
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for row in table.rows:
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row.height = Inches(0.75)
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doc.save(f'{output_dir}/{student["Pupil #"]}_schedule.docx')
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@@ -0,0 +1,16 @@
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#!/usr/bin/env python3.11
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from app.util.globals import flex
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most_frequent = lambda l : max(set(l), key = l.count)
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def getGradeFromCourseCode(code: str) -> int:
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grades = [int(s) for s in code.split("-") if s.isdigit()]
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return None if len(grades) == 0 else most_frequent(grades)
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def getEstimatedGrade(pupil: dict) -> int:
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grades = [] # List of all possible grades
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for request in (r for r in pupil["requests"] if r not in flex):
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for extractedGrade in [int(s) for s in request["CrsNo"].split("-") if s.isdigit()]:
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grades.append(extractedGrade)
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return None if len(grades) == 0 else most_frequent(grades) # Final estimate of grade
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@@ -0,0 +1,33 @@
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#!/usr/bin/env python3.11
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import json
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import csv
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# Get all requested courses from data
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def getCourses(
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data_dir: str,
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log: int=False,
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log_dir: str='./output/raw/courses.json',
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) -> dict[dict[str: any]]:
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courses = {}
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with open(data_dir, newline='') as csvfile:
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reader = csv.DictReader(csvfile)
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for row in reader:
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exists = False
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for course in courses:
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exists = True if courses[course]["CrsNo"] == row["CrsNo"] else False
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if exists: break
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if not exists:
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courses[row["CrsNo"]] = {
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"CrsNo": row["CrsNo"],
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"Requests": 0,
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"Description": row["Description"],
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"students": []
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}
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if log:
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with open(log_dir, "w") as outfile:
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json.dump(courses, outfile, indent=2)
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return courses
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@@ -0,0 +1,59 @@
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#!/usr/bin/env python3.11
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import json
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import csv
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from app.util.estimateGrade import getEstimatedGrade
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from app.util.globals import flex
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# sort data into usable dictionary
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def getStudents(
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data_dir: str,
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log: bool=False,
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totalBlocks: int=10,
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log_dir: str='./output/raw/students.json'
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) -> list[ dict[ str: any ] ]:
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students: list[ dict[ str: any ] ] = []
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with open(data_dir, newline='') as csvfile:
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reader = csv.DictReader(csvfile)
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for row in reader:
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exists = False
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for student in students:
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exists = True if student["Pupil #"] == row["Pupil #"] else False
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if exists: break
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alternate = True if row["Alternate?"] == 'TRUE' else False
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if exists:
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if len(students[student["studentIndex"]]["requests"]) >= totalBlocks and not alternate and row["CrsNo"] not in flex: alternate = True
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students[student["studentIndex"]]["requests"].append({
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"CrsNo": row["CrsNo"],
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"Description": row["Description"],
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"alt": alternate
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})
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if row["CrsNo"] not in flex and not alternate and students[student["studentIndex"]]["expectedClasses"] < 10:
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students[student["studentIndex"]]["expectedClasses"] += 1
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else:
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newStudent = {
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"Pupil #": row["Pupil #"],
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"requests": [{
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"CrsNo": row["CrsNo"],
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"Description": row["Description"],
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"alt": alternate
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}],
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"schedule": {},
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"expectedClasses": 1,
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"classes": 0,
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"remainingAlts": [],
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"studentIndex": len(students)
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}
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for i in range(1, totalBlocks+1): newStudent["schedule"][f'block{i}'] = []
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students.append(newStudent)
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# Estimate student grades
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for student in students:
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student["gradelevel"] = getEstimatedGrade(student)
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if log:
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with open(log_dir, "w") as outfile:
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json.dump(students, outfile, indent=2)
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return students
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@@ -0,0 +1,19 @@
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#!/usr/bin/env python3.11
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from dataclasses import dataclass
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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: tuple = ("XAT--12A-S", "XAT--12B-S")
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# Global function
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exists = lambda n : True if n not in ('', None) else False
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# Global data class
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@dataclass
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class Error:
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Title: str
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Description: str
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def __init__(self, title: str, description: str):
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self.Title = title
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self.Description = description
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