90 lines
2.7 KiB
Python
Executable File
90 lines
2.7 KiB
Python
Executable File
#!/usr/bin/env python3.11
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import eel
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import os
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import json
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from app.generator import generateScheduleV3
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from app.util.globals import Error
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from app.util.getCourses import getCourses
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from app.util.getStudents import getStudents
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from app.util.convertRawData import putScheduleToWord, putMasterTimetable
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eel.init('template')
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@eel.expose
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def start(
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raw_file_data: str,
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min_req: int,
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class_cap: int,
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block_class_limit: int,
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total_blocks: int,
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) -> dict:
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eel.post_data('Ensuring Directories Exists...')
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# Ensure output paths exists
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if not os.path.exists('output'): os.makedirs('output')
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if not os.path.exists('output/temp'): os.makedirs('output/temp')
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if not os.path.exists('output/final'): os.makedirs('output/final')
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if not os.path.exists('output/final/student_schedules'): os.makedirs('output/final/student_schedules')
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if not os.path.exists('output/raw'): os.makedirs('output/raw')
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raw_data_dir = './output/temp/course_selection_data.csv'
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eel.post_data('Saving raw data to local file...')
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# save raw file data to local file
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with open(raw_data_dir, 'w') as raw_file:
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raw_file.write(raw_file_data)
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# Ensure params are of correct type
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min_req = int(min_req)
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class_cap = int(class_cap)
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block_class_limit = int(block_class_limit)
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total_blocks = int(total_blocks)
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eel.post_data('Collecting student information...')
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# call pre-algorithm functions read raw data into a processable format
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students = getStudents(
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raw_data_dir,
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log=True,
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totalBlocks=total_blocks,
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log_dir='./output/raw/students.json'
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)
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eel.post_data('Collecting course information...')
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courses = getCourses(
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raw_data_dir,
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log=True,
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log_dir='./output/raw/courses.json'
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)
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eel.post_data('Generating timetables...')
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# call algorithm to sort data
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master_timetable, err = generateScheduleV3(
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students,
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courses,
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minReq=min_req,
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classCap=class_cap,
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blockClassLimit=block_class_limit,
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totalBlocks=total_blocks,
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studentsDir='./output/raw/students.json',
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conflictsDir='./output/raw/conflicts.json'
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)
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if err is not None:
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eel.post_data(f'An error has occured while generating the timetable: {err.Title}')
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return err.__dict__
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eel.post_data('Gathering latest data...')()
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# Get updated students
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with open('./output/raw/students.json', 'r') as studentFile: students = json.load(studentFile)
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eel.post_data('Writing timetables to .docx files...')
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# call post-algorithm functions to present sorted data
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for student in students:
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putScheduleToWord(courses, student, './output/final/student_schedules')
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# TODO: log master_timetable
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return err.__dict__ if err is not None else None
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eel.start('index.html', size=(800, 1000))
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