feat(ReadDB): Added comments and fixed logic and made it efficent

ReadDB.py

@@ -1,6 +1,18 @@
 import pandas as pd
-
+import json
 def ReadDatabase():
+    """ 
+    Reads the Database
+
+    ``REQUIRES``: None
+    
+    ``PROMISES``: JSON (Interview Avaiable Slots)
+
+    ``Develop in part by``: Ahmad
+
+    ``Contact``: ahmad.ahmad1@ucalgary.ca
+
+    """
     # Load the updated Excel file into a pandas DataFrame
     excel_file_path = "./interview_database.xlsx"
     df = pd.read_excel(excel_file_path)
@@ -10,17 +22,21 @@ def ReadDatabase():
 
     # Group the DataFrame by Date, Start Time, and Slot for organization
     for _, row in df.iterrows():
-        date = row['Date']
-        start_time = row['Start Time']
+        date = str(row['Date'])
+        start_time = str(row['Start Time'])
         slot = int(row['Slot']) if not pd.isna(row['Slot']) else 0
-
-        # Initialize nested structure if not present
-        if date not in interview_data:
-            interview_data[date] = {}
-        if start_time not in interview_data[date]:
-            if len(str(row['Interviewee Name']).split()) != slot:
-                interview_data[date][start_time] = {
-                    'Meeting Duration': row['Meeting Duration'],
-                }
-    # Print the structured dictionary in JSON format for readability
-    return interview_data
+        #Returns amount of interviewees in the slot and if it's empty it will return 0
+        interviewee_amount = len(str(row['Interviewee Name']).split()) if str(row['Interviewee Name']) != "nan" else 0
+        
+        # Check if the slot is available for an interviewee to attend
+        avaliable_slots = interviewee_amount != slot
+        if avaliable_slots:
+            # Initialize nested structure if not present
+            if date not in interview_data:
+                interview_data[date] = {}
+            #Adds the start time and duration if not present
+            if start_time not in interview_data[date]:
+                    interview_data[date][start_time] = {
+                        'Meeting Duration': row['Meeting Duration'],
+                    }
+    return interview_data