automatic timetable updation

timetable_updation.py

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+import tkinter as tk
+from tkinter import filedialog
+from openpyxl import load_workbook
+from pymongo import MongoClient
+import os
+import xlrd
+
+filename = None
+
+def browse_file():
+    global filename
+    f_name = filedialog.askopenfilename(filetypes=[("Excel files", "*.xls;*.xlsx")])
+    if f_name:
+        filename = f_name
+        entry.delete(0, tk.END)  # Clear the entry box
+        entry.insert(tk.END, filename)
+
+def process_file():
+    global filename
+    if filename:
+        # Connect to MongoDB
+        client = MongoClient('mongodb+srv://prayagadmin:me1234@pdeuer.p8bjgio.mongodb.net/?retryWrites=true&w=majority&appName=pdeuER')
+        db = client['ListOfEmpty']
+        collection = db['empty-rooms']
+
+        block_name = os.path.split(filename)[-1][0]
+
+        def find_rnums(sheet):
+            for row in sheet.iter_rows():
+                for cell in row:
+                    if cell.value and str(cell.value).startswith(block_name + "-"):
+                        yield cell.value
+
+        rooms_list_f = []
+        workbook = load_workbook(filename)
+        sheet = workbook.active
+
+        # Extract room numbers
+        for room in find_rnums(sheet):
+            rooms_list_f.append(room)
+
+
+        # Remove block prefix and store room numbers
+        rooms_list = [x.lstrip(block_name ) for x in rooms_list_f]
+
+        total_rows = sheet.max_row
+        total_columns = sheet.max_column
+        days = ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"]
+        rooms_schedule = {}  # Dictionary to store room schedules
+
+        row_no = 0
+        rooms_marker = 0
+
+        row = list(sheet.iter_rows(max_row = total_rows, max_col = total_columns))
+        while row_no < total_rows:
+            first_cell_value = row[row_no][0].value
+            if first_cell_value and first_cell_value.lower() == "monday":
+                room_schedule = {}  # Dictionary to store schedule for a room
+                for d in range(5):
+                    i = 2
+                    if d < 4:
+                        next_day = days[d + 1]
+                    temp = []
+
+                    while i<=10:
+                        merged_horizontal = False
+
+                        # Check if the cell is part of a merged range
+                        if row[row_no][i].coordinate in sheet.merged_cells:                   
+                            # Get the merged range
+                            for merged_range in sheet.merged_cells.ranges:
+                                if row[row_no][i].coordinate in merged_range:
+                                    # Check if the merged range spans horizontally
+                                    if merged_range.max_col > merged_range.min_col:
+                                        # Set the flag indicating horizontal merge
+                                        merged_horizontal = True
+                        if merged_horizontal and row[row_no][i].value is not None: #for filled lab
+                            i+=2 #considering every lab is of 2 hours
+
+                        elif merged_horizontal and row[row_no][i].value is None: #for empty lab
+                            if i>=6:
+                                temp.append(str(i-5))
+                                temp.extend(str(i+1-5))
+                            else:
+                                temp.extend(str(i+7))
+                                temp.extend(str(i+7+1))
+                            i+=2
+
+                        elif row[row_no][i].value is not None:
+                            i+=1
+
+                        elif row[row_no][i].value is None:
+                            if i>=6:
+                                temp.append(str(i-5))
+                            else:
+                                temp.append(str(i+7))
+                            i+=1
+
+                    if d < 4:
+                        while row[row_no][0].value != next_day:
+                            row_no += 1
+
+                    room_schedule[days[d]] = temp
+
+                room_number = rooms_list[rooms_marker]
+                rooms_schedule[room_number] = room_schedule
+                if rooms_marker<len(rooms_list)-1:
+                    rooms_marker+=1
+                elif rooms_marker == len(rooms_list)-1:
+                    row_no = total_rows
+            else:
+                row_no += 1
+
+        # Construct document
+
+    initial_document = {
+            "block": str(block_name),
+            "rooms": rooms_schedule
+        }
+
+
+    rooms_list_f = []
+    for room_number, schedule in initial_document['rooms'].items():
+        room_dict_f = {"room_number": room_number, "schedule": schedule}
+        rooms_list_f.append(room_dict_f)
+
+
+    final_document = {
+        "block": initial_document["block"],
+        "rooms": rooms_list_f
+    }
+
+
+
+
+    print(final_document)  
+
+    collection.insert_one(final_document)
+    print("Document inserted into MongoDB collection.")
+    client.close()
+
+
+
+def ok_action():
+    process_file()
+    root.destroy()
+
+root = tk.Tk()
+root.title("Excel File Processor")
+
+label = tk.Label(root, text="Enter File Path:")
+label.pack()
+
+entry = tk.Entry(root, width=50)
+entry.pack()
+
+browse_button = tk.Button(root, text="Browse", command=browse_file)
+browse_button.pack()
+
+ok_button = tk.Button(root, text="OK", command=ok_action)
+ok_button.pack()
+
+root.mainloop()