feat(ReadDB): Read function finished, YAML coversion to EXCEL

ReadDB.py

@@ -0,0 +1,26 @@
+import pandas as pd
+
+def ReadDatabase():
+    # Load the updated Excel file into a pandas DataFrame
+    excel_file_path = "./interview_database.xlsx"
+    df = pd.read_excel(excel_file_path)
+
+    # Initialize the dictionary to store the structured data
+    interview_data = {}
+
+    # Group the DataFrame by Date, Start Time, and Slot for organization
+    for _, row in df.iterrows():
+        date = row['Date']
+        start_time = 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