last update

projet_personnel/algorithme_gestion_etudiants.py

@@ -39,6 +39,10 @@ academic_year_pattern = re.compile(r'^(BAC[123]|MA[12])$')
 campus_pattern = re.compile(r'^(Louvain-la-Neuve|Mons)$', re.IGNORECASE)
 curriculum_pattern = re.compile(r'^(INGM1BA|INGM2M)$', re.IGNORECASE)
 
+
+def reload_data(file_path):
+    return pd.read_excel(file_path)
+
 # REGISTER
 def register_student(data):
     # Setting up the patterns to follow for entering information
@@ -186,6 +190,7 @@ def register_student(data):
         # Ask the user if they want to modify any information before registration
         modify_info = input("Do you want to modify any information before registration? (YES/NO): ").upper()
         if modify_info == "YES":
+            data = reload_data(file_path)
             modify(data)  # Call the modify function to update information
             break  # Exit the loop after modification
         elif modify_info == "NO":
@@ -193,15 +198,7 @@ def register_student(data):
         else:
             print("Invalid input. Please enter either 'YES' or 'NO'.")
 
-    return
-
-"""
-def reload_data(file_path):
-    pd.read_excel(file_path)
-    return"""
-
-# faire la fonction qui permet de faire un reload des données !!!!
-
+    return 
 
 
 
@@ -231,9 +228,11 @@ def register(data, firstname, lastname, Curriculum, date_of_birth, place_of_birt
 
     data.to_excel(file_path, index=False)
 
+    data = reload_data(file_path)
+
     print('The person has been registered.\n')
 
-    return
+    return data
 
 def generate_matricule(firstname, lastname, date_of_birth):
     consonant_of_firstname = ''.join([c for c in firstname if c.lower() not in 'aeiou'])[:3]
@@ -267,6 +266,13 @@ def modify(data):
         if confirmation == "YES":
             student_index = student_row.index[0]
 
+            print("\nDetails of the student before modification:")
+            for col in ['Matricule', 'Firstname', 'Lastname', 'Date of Birth', 'Place of Birth', 'Address', 'Telephone', 'Email', 'Gender', 'Academic Year', 'Curriculum', 'Campus']:
+                print(f"{col}: {data.at[student_index, col]}")
+            for course, grade in data.iloc[student_index].items():
+                if course not in field_mapping.values():
+                    print(f"{course}: {grade}")
+
             print(f"\nModifying the student with matricule {matricule_to_modify}:\n")
             print("1.  Firstname")
             print("2.  Lastname")
@@ -286,6 +292,8 @@ def modify(data):
             field_name_to_modify = field_mapping.get(field_to_modify, None)
             print(f"You are modifying the field: {field_name_to_modify}")
 
+            matricule = None
+
             if field_to_modify == 1:  # If the field to modify is the name (Name)
                 while True:
                     firstname = input("What is the name you want to modify? ")
@@ -440,7 +448,8 @@ def modify(data):
             print("Modification canceled.")
             break  # Exit the loop if modification is canceled
 
-        data.at[student_index, 'Matricule'] = matricule # Update the Matricule column with the new matricule
+        if matricule is not None:
+            data.at[student_index, 'Matricule'] = matricule  # Update the Matricule column with the new matricule
         
         print("Be careful because of a modification the registration number has changed :")
 
@@ -448,6 +457,7 @@ def modify(data):
 
         # Save the modified data to the Excel file
         data.to_excel(file_path, index=False)
+        data = reload_data(file_path)
         print("Modification successfully done.")
 
 # Mapping for field names to DataFrame column names
@@ -714,7 +724,7 @@ def sort_master(data):
 def export_option(data):
     export = input("Do you want to export in a file? (YES/NO) ").upper()
     if export == "YES":
-        filename = input("Enter the filename: ")
+        filename = input("Enter the filename without .xlsx : ")
         filename = filename + '.xlsx'
         export_data_to_excel(data, filename)
 
@@ -738,9 +748,9 @@ def see_the_data(data, columns_to_show=None):
 
 def statistics_analysis(data):
     print_menu([
-        "Get basic statistics",
-        "Get all student grades",
-        "Get all grades for a course",
+        "Get basic statistics of a student",
+        "Get all grades of a student",
+        "Get all grades of a course",
     ])
     
     stats_choice = get_valid_input("Enter the number of what you want to do: ", 1, 3)
@@ -830,7 +840,7 @@ def display_student_grades(results):
     for index, row in results.iterrows():
         student_name = f"{row['Firstname']} {row['Lastname']}"
         print(f"\nGrades for student {student_name}:")
-        table = [[column, grade] for column, grade in row.iteritems() if pd.notnull(grade)]
+        table = [[column, grade] for column, grade in row.items() if pd.notna(grade) and column not in ['Firstname', 'Lastname', 'Academic Year', 'Curriculum', 'Place of Birth', 'Telephone', 'Address', 'Gender', 'Email', 'Campus', 'Date of Birth', 'Matricule']]
         print(tabulate(table, headers=["Course", "Grade"], tablefmt="pretty"))
     export_choice = input("Do you want to export these statistics? (YES/NO): ").upper()
     if export_choice == 'YES':
@@ -838,7 +848,8 @@ def display_student_grades(results):
 
 def course_grades(data):
     print("Here is the list of courses:")
-    print(data.select_dtypes(include=['number']).columns)
+    for course in data.columns[13:]:
+        print(f"- {course}")
 
     course_name = input("For which course do you want to display grades? ")
 
@@ -870,12 +881,6 @@ def display_course_grades(students_in_course, course_name):
 def export_stats(data):
     # Ensure numeric columns only
     numeric_columns = data.select_dtypes(include=['number']).columns
-    
-    # Calculate overall statistics
-    overall_stats = calculate_overall_stats(data, numeric_columns)
-    
-    # Save overall statistics to Excel
-    overall_stats.to_excel("overall_statistics.xlsx", index=False)
 
     # Calculate and save statistics for each student
     for index, row in data.iterrows():
@@ -885,18 +890,7 @@ def export_stats(data):
 
     print("Statistics exported successfully.")
 
-def calculate_overall_stats(data, numeric_columns):
-    all_grades = [row[column] for column in numeric_columns for _, row in data.iterrows() if not pd.isnull(row[column])]
-    
-    overall_stats = {
-        "Lowest grade": min(all_grades),
-        "Highest grade": max(all_grades),
-        "Average grade": statistics.mean(all_grades),
-        "Median grade": statistics.median(all_grades),
-        "Standard deviation of grades": statistics.stdev(all_grades)
-    }
 
-    return pd.DataFrame(list(overall_stats.items()), columns=["Metric", "Value"])
 
 def calculate_student_stats(row, numeric_columns):
     student_grades = [row[column] for column in numeric_columns if not pd.isnull(row[column])]
@@ -919,7 +913,7 @@ def calculate_student_stats(row, numeric_columns):
 
 # Action
 
-def action():
+def action(data):
     print("What do you want to do?\nBelow, you will find what is possible followed by the commands to type.")
     print("1.  Register a student")
     print("2.  Modify one or more fields")
@@ -960,11 +954,13 @@ def action():
 menu = []
 
 while True:
-    response = action()
+    data = reload_data(file_path)
+    response = action(data)
     if response is False:
         break
     else:
-        if response == True:
+        if response:
+            # Reload the menu if the file was modified
             menu = []
         else:
             menu.append(response)