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import json
from collections import defaultdict
from models import Faculty, Subject, Section, Room, SubjectType
from data_loader import Allocation, prepare_scheduling_tasks
from solver import TimetableSolver
import constants as const
# --- Models Helpers ---
def get_subject_type_enum(type_str):
mapping = {
"THEORY": SubjectType.THEORY,
"LAB": SubjectType.LAB,
"SOFTSKILL": SubjectType.SOFTSKILL,
"FORUM": SubjectType.FORUM
}
return mapping.get(type_str.upper(), SubjectType.THEORY)
def convert_json_to_objects(data):
fac_objs = [Faculty(f['id'], f['name'], f['designation'], f['max_hours']) for f in data['faculties']]
sub_objs = [Subject(
s['code'], s['name'], s['credits'],
get_subject_type_enum(s['type']),
s.get('is_core', True), s.get('is_heavy', False)
) for s in data['subjects']]
sec_objs = [Section(s['id'], s['semester'], s['strength']) for s in data['sections']]
room_objs = [Room(r['id'], r['capacity'], r['is_lab'], r['building']) for r in data['rooms']]
alloc_objs = [Allocation(
a['faculty_id'], a['subject_code'], a['section_id'], a.get('elective_group')
) for a in data['allocations']]
return fac_objs, sub_objs, sec_objs, room_objs, alloc_objs
def main():
print("Loading data...")
with open("timetable_data.json", "r") as f:
data = json.load(f)
facs, subs, secs, rooms, allocs = convert_json_to_objects(data)
tasks = prepare_scheduling_tasks(allocs, facs, subs, secs)
print(f"Scheduling {len(tasks)} tasks...")
solver = TimetableSolver(tasks, facs, secs, rooms)
status, solution = solver.solve(time_limit_seconds=60)
if status not in ["OPTIMAL", "FEASIBLE"]:
print(f"Solver failed: {status}")
return
print("\n--- Display Logic Simulation ---")
# 1. Identify Parent Sections
parent_sections = sorted(list(set(s.section_id.split('-')[0].upper() for s in secs)))
print(f"Parent Sections Found: {parent_sections}")
# 2. Build Grid: merged_grid[parent_sec][day][period] = set of contents
merged_grid = defaultdict(lambda: defaultdict(lambda: defaultdict(set)))
for task_id, info in solution.items():
task_obj = info.get('task_obj')
sec_id = info['section_id']
parent_sec = sec_id.split('-')[0].upper()
day, period, dur = info['day_index'], info['period_index'], info['duration']
cell_content = info['subject_code'].upper()
# Fill grid slots
for i in range(dur):
merged_grid[parent_sec][day][period + i].add(cell_content)
# 3. Print Grid as Dict
import pprint
for p_sec, days in merged_grid.items():
print(f"\nSECTION: {p_sec}")
for day, periods in days.items():
print(f" Day {day}:")
# The instruction implies a change from 'in' to '==' for a check.
# The provided snippet introduces new lines with '==' but no 'in' to replace.
# Assuming 'header_text' would be defined in a more complete context,
# and applying the '==' as shown in the snippet.
# For this specific context, 'header_text' is undefined, so these lines are commented out
# or would require further context to be functional.
# is_break = (header_text == "10:35-10:50")
# is_lunch = (header_text == "12:40-1:40")
for period, contents in sorted(periods.items()):
print(f" Period {period}: {contents}")
if __name__ == "__main__":
main()
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