first version of the program

data/students.csv

@@ -0,0 +1,8 @@
+student_id;full_name;group;course;grade;subject
+1;Анна Кузнецова;ИВТ-201;2;85;Математика
+2;Иван Соколов;ИВТ-201;2;92;Математика
+1;Анна Кузнецова;ИВТ-201;2;78;Программирование
+3;Мария Ткач;ПИ-101;1;88;Программирование
+2;Иван Соколов;ИВТ-201;2;91;Программирование
+4;Иван Иванович;ИНБб-2301;3;95;Программирование
+4;Иван Иванович;ИНБб-2301;3;91;Математика

src/main.py

@@ -1,45 +1,156 @@
+import csv
+from collections import defaultdict
 
 def load_students(filepath):
-   
+    records = []
-
+    try:
+        with open(filepath, 'r', encoding='utf-8') as f:
+            reader = csv.DictReader(f, delimiter=';')
+            for row in reader:
+                row['student_id'] = int(row['student_id'])
+                row['course'] = int(row['course'])
+                row['grade'] = float(row['grade'])
+                records.append(row)
+    except FileNotFoundError:
+        print(f"Файл {filepath} не найден.")
+    return records
 
 def filter_by_group(records, group_name):
-
+    return [r for r in records if r['group'] == group_name]
-
 
 def filter_by_course(records, course_number):
-
+    return [r for r in records if r['course'] == course_number]
-
 
 def filter_by_min_grade(records, min_grade):
-   
+    return [r for r in records if r['grade'] >= min_grade]
-
 
 def average_grade_per_student(records):
-    
+    if not records:
+        return {}
+    total_grades = defaultdict(float)
+    count_grades = defaultdict(int)
+    names = {}
+    for r in records:
+        sid = r['student_id']
+        total_grades[sid] += r['grade']
+        count_grades[sid] += 1
+        names[sid] = r['full_name']
+    result = {}
+    for sid in total_grades:
+        result[sid] = {
+            'name': names[sid],
+            'avg_grade': total_grades[sid] / count_grades[sid]
+        }
+    return result
 
 def top_students_by_avg(records, n):
-    
+    avg_dict = average_grade_per_student(records)
-
+    if not avg_dict:
+        return []
+    students = [(sid, data['name'], data['avg_grade']) for sid, data in avg_dict.items()]
+    students.sort(key=lambda x: x[2], reverse=True)
+    return students[:n]
 
 def subject_statistics(records):
-    
+    if not records:
-
+        return {}
+    total = defaultdict(float)
+    count = defaultdict(int)
+    for r in records:
+        subj = r['subject']
+        total[subj] += r['grade']
+        count[subj] += 1
+    stats = {}
+    for subj in total:
+        stats[subj] = {'count': count[subj], 'avg': total[subj] / count[subj]}
+    return stats
 
 def grade_distribution(records, subject=None):
-    
+    def to_five_point(grade):
-
+        if grade < 60:
+            return 2
+        elif grade < 75:
+            return 3
+        elif grade < 90:
+            return 4
+        else:
+            return 5
+    filtered = records
+    if subject is not None:
+        filtered = [r for r in records if r['subject'] == subject]
+    dist = {2: 0, 3: 0, 4: 0, 5: 0}
+    for r in filtered:
+        dist[to_five_point(r['grade'])] += 1
+    return dist
 
 def remove_duplicate_records(records):
+    seen = set()
+    unique = []
+    for r in records:
+        key = (r['student_id'], r['subject'], r['grade'])
+        if key not in seen:
+            seen.add(key)
+            unique.append(r)
+    return unique
 
-
+def export_grade_report(records, filtered, output_file):
-
+    with open(output_file, 'w', encoding='utf-8') as f:
-def export_grade_report(records, output_file):
+        f.write(f"Загружено записей: {len(records)}\n")
-    
+        f.write(f"После удаления дубликатов: {len(records)}\n")
-
+        f.write(f"После фильтрации (курс 2, оценка >= 80): {len(filtered)} записей\n")
+        if filtered:
+            overall_avg_filtered = sum(r['grade'] for r in filtered) / len(filtered)
+            f.write(f"Средний балл по выборке: {overall_avg_filtered:.2f}\n")
+        else:
+            f.write("Средний балл по выборке: нет данных\n")
+        top3 = top_students_by_avg(filtered, 3)
+        f.write("Топ-3 студента:\n")
+        i = 1
+        for sid, name, avg in top3:
+            f.write(f"  {i}. {name} - {avg:.2f}")
+            i += 1
+        dist = grade_distribution(filtered)
+        f.write("Распределение оценок:\n")
+        f.write(f"  5 (90-100): {dist[5]}\n")
+        f.write(f"  4 (75-89):  {dist[4]}\n")
+        f.write(f"  3 (60-74):  {dist[3]}\n")
+        f.write(f"  2 (0-59):   {dist[2]}\n")
+        subj_stats = subject_statistics(filtered)
+        f.write("Статистика по предметам:\n")
+        for subj, data in subj_stats.items():
+            f.write(f"  {subj}: оценок {data['count']}, средний {data['avg']:.2f}\n")
 
 def main():
-    
+    records = load_students('data/students.csv')
+    print(f"Загружено записей: {len(records)}")
+    records = remove_duplicate_records(records)
+    print(f"После удаления дубликатов: {len(records)}")
+    filtered = filter_by_course(records, 2)
+    filtered = filter_by_min_grade(filtered, 80)
+    print(f"После фильтрации (курс 2, оценка >= 80): {len(filtered)} записей")
+    if filtered:
+        overall_avg_filtered = sum(r['grade'] for r in filtered) / len(filtered)
+        print(f"Средний балл по выборке: {overall_avg_filtered:.2f}")
+    else:
+        print("Средний балл по выборке: нет данных")
+    top3 = top_students_by_avg(filtered, 3)
+    print("Топ-3 студента:")
+    i = 1
+    for sid, name, avg in top3:
+        print(f"  {i}. {name} - {avg:.2f}")
+        i += 1
+    dist = grade_distribution(filtered)
+    print("Распределение оценок:")
+    print(f"  5 (90-100): {dist[5]}")
+    print(f"  4 (75-89):  {dist[4]}")
+    print(f"  3 (60-74):  {dist[3]}")
+    print(f"  2 (0-59):   {dist[2]}")
+    subj_stats = subject_statistics(filtered)
+    print("Статистика по предметам:")
+    for subj, data in subj_stats.items():
+        print(f"  {subj}: оценок {data['count']}, средний {data['avg']:.2f}")
+    export_grade_report(records, filtered, 'output.txt')
+    print("Полный отчёт сохранён в output.txt")
 
 if __name__ == '__main__':
     main()