Все базы данных в одной репе

fill_db_script/.gitignore

@@ -0,0 +1 @@
+__pycache__

fill_db_script/.vscode/launch.json

@@ -0,0 +1,15 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python Debugger: main.py",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "main.py",
+            "console": "integratedTerminal"
+        }
+    ]
+}

fill_db_script/competition_stage.csv

@@ -0,0 +1,8 @@
+title;count_of_series
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>. 1 <20><><EFBFBD><EFBFBD>;30
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>. 2 <20><><EFBFBD><EFBFBD>;30
+1/16 <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;6
+1/8 <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;6
+1/4 <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;6
+1/2 <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;6
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;6

fill_db_script/division.csv

@@ -0,0 +1,17 @@
+title;gender;bow_type;distance;msmk;ms;kms;category_1;category_2;category_3
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>. <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>. 18 <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>.;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>;18;586;570;530;500;455;415
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>. <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>. 18 <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>.;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>;18;582;566;525;490;450;410
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>. <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>. 70 <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>.;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>;70;670;640;615;580;530;500
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>. <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>. 70 <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>.;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>;70;664;630;600;560;510;480
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>. <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>. 18 <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>.;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>;18;586;570;530;500;455;415
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>. <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>. 18 <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>.;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>;18;582;565;525;490;450;410
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>. <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>. 70 <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>.;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>;70;685;660;640;610;555;525
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+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>. <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>. 50 <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>.;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>;50;586;570;530;500;455;415
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fill_db_script/judge.csv

@@ -0,0 +1,51 @@
+surname;name;patronymic;category;region;federation
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+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD><EFBFBD>-<2D><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD><EFBFBD>-<2D><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD>;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;<3B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>

fill_db_script/main.py

@@ -0,0 +1,43 @@
+import time
+
+from utils import *
+
+# Параметры подключения к базе данных
+conn_params = {
+    "dbname": "db_univer",
+    "user": "postgres",
+    "password": "123",
+    "host": "localhost",
+}
+
+
+if __name__ == "__main__":
+    delete_all_rows_from_all_tables(conn_params)
+
+    start_time = time.perf_counter()
+
+    # Заполняем таблицы первого уровня
+    load_csv_to_db(conn_params, "division", "division.csv")
+    load_csv_to_db(conn_params, "organizer", "organizer.csv")
+    load_csv_to_db(conn_params, "competition_stage", "competition_stage.csv")
+    load_csv_to_db(conn_params, "sportsman", "sportsman.csv", date_columns=[4])
+    load_csv_to_db(conn_params, "judge", "judge.csv")
+
+    # Второй уровень
+    generate_competitions(conn_params, 200)
+
+    # Третий уровень
+    generate_protocols(conn_params)
+    generate_judge_requests(conn_params)
+    generate_participant_requests(conn_params)
+    generate_division_in_competitions(conn_params)
+
+    # Четвёртый уровень
+    generate_result_in_stage(conn_params)
+
+    # Пятый уровень
+    generate_shot_series(conn_params)
+
+    print_rows_count_summary(conn_params)
+
+    print(f"База данных заполнена за {time.perf_counter() - start_time:.3}с")

fill_db_script/organizer.csv

@@ -0,0 +1,21 @@
+name;logo
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg
+"<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD> ""<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>""";https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg
+<EFBFBD><EFBFBD><EFBFBD> 21;https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> | <20><><EFBFBD><EFBFBD><EFBFBD>-<2D><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD>;https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> | <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><> <20><><EFBFBD><EFBFBD>, <20><><EFBFBD>, <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD>;https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD>-<2D><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD>;https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg
+"<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>-<2D><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD> ""<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>""";https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg
+"<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> ""<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD>""";https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg
+<EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD> ;https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg
+"<EFBFBD><EFBFBD> ""<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD>""";https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg
+"<EFBFBD><EFBFBD> <20><><EFBFBD> ""<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>""";https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg
+Archer - <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD>. <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><> <20><><EFBFBD><EFBFBD> ;https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg
+"<EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><> <20><><EFBFBD><EFBFBD> ""<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD>""";https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg
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+"<EFBFBD><EFBFBD> ""<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>""";https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg
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+Archery Club;https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg
+<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>;https://static.tildacdn.com/tild3734-3334-4737-b432-383438313037/noroot.jpg

fill_db_script/sportsman.csv

@@ -0,0 +1,101 @@
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fill_db_script/utils.py

@@ -0,0 +1,452 @@
+import csv
+import random
+from datetime import datetime, timedelta
+
+import psycopg2
+
+
+def load_csv_to_db(
+    conn_params, table_name, csv_file_path, date_columns=None, delimiter=";"
+):
+    """Добавляет данные из csv таблицы в указанную таблицу в бд. Важно, чтобы названия
+    столбцов и типы данных в таблицах совпадали. Преобразует даты в указанных столбцах.
+    """
+    # Соединение с базой данных
+    with psycopg2.connect(**conn_params) as conn:
+        with conn.cursor() as cur:
+            # Открытие CSV-файла
+            with open(csv_file_path, mode="r", encoding="windows-1251") as file:
+                reader = csv.reader(file, delimiter=delimiter)
+                # Считывание заголовков для формирования SQL запроса
+                headers = next(reader)
+
+                # Формирование строки запроса с плейсхолдерами для значений
+                placeholders = ", ".join(["%s"] * len(headers))
+                insert_query = f"INSERT INTO {table_name} ({', '.join(headers)}) VALUES ({placeholders});"
+
+                # Вставка данных в таблицу
+                for row in reader:
+                    # Преобразование дат, если требуется
+                    if date_columns:
+                        for col_index in date_columns:
+                            if row[col_index]:  # Проверяем, не пустое ли значение
+                                row[col_index] = datetime.strptime(
+                                    row[col_index], "%d.%m.%Y"
+                                ).strftime("%Y-%m-%d")
+                    cur.execute(insert_query, row)
+            conn.commit()
+
+
+def print_rows_count_summary(conn_params):
+    """Выводит в консолько количество строк во всех таблицах в базе данных, а также
+    выводит суммарное количество всех строк в базе данных."""
+    total_rows = 0
+    with psycopg2.connect(**conn_params) as conn:
+        with conn.cursor() as cur:
+            # Получение списка всех таблиц в текущей базе данных
+            cur.execute(
+                """
+                SELECT table_name
+                FROM information_schema.tables
+                WHERE table_schema = 'public'
+            """
+            )
+            tables = cur.fetchall()
+
+            # Подсчет строк в каждой таблице
+            for (table_name,) in tables:
+                cur.execute(f"SELECT COUNT(*) FROM {table_name}")
+                count = cur.fetchone()[0]
+                total_rows += count
+                print(f"Таблица {table_name}: {count} строк")
+
+    print("Всего строк в базе данных: ", total_rows)
+    print()
+
+
+def delete_all_rows_from_all_tables(conn_params):
+    """Очищает базу данных. Удаляет все строки из всех таблиц, но оставляет
+    сами таблицы."""
+    with psycopg2.connect(**conn_params) as conn:
+        with conn.cursor() as cur:
+            # Отключение ограничений foreign key для избежания конфликтов при удалении
+            cur.execute("SET session_replication_role = 'replica';")
+
+            # Получение списка всех таблиц в текущей базе данных
+            cur.execute(
+                """
+                SELECT table_name
+                FROM information_schema.tables
+                WHERE table_schema = 'public' AND table_type = 'BASE TABLE'
+            """
+            )
+            tables = cur.fetchall()
+
+            # Удаление всех строк из каждой таблицы
+            for (table_name,) in tables:
+                cur.execute(f"DELETE FROM {table_name}")
+                print(f"Все строки удалены из таблицы {table_name}")
+
+            # Восстановление ограничений foreign key
+            cur.execute("SET session_replication_role = 'origin';")
+
+            # Подтверждение всех изменений
+            conn.commit()
+
+    print()
+
+
+def generate_competitions(conn_params, num_records):
+    adjectives = [
+        "Супер",
+        "Мега",
+        "Ультра",
+        "Эпический",
+        "Ежегодный",
+        "Ежеквартальный",
+        "Основной",
+        "Главный",
+        "Золотой",
+        "Платиновый",
+    ]
+    competition_types = [
+        "кубок",
+        "чемпионат",
+        "марафон",
+        "турнир",
+        "фестиваль",
+        "конкурс",
+        "поединок",
+    ]
+
+    with psycopg2.connect(**conn_params) as conn:
+        with conn.cursor() as cur:
+            # Получение списка ID организаторов
+            cur.execute("SELECT id_organizer FROM organizer")
+            organizer_ids = [row[0] for row in cur.fetchall()]
+
+            for _ in range(num_records):
+                # Генерация случайного организатора
+                id_organizer = random.choice(organizer_ids)
+
+                # Генерация случайных дат
+                start_date = datetime.now() - timedelta(days=random.randint(1, 5 * 365))
+                end_date = start_date + timedelta(days=random.randint(1, 10))
+
+                # Форматирование дат для SQL
+                start_date = start_date.strftime("%Y-%m-%d")
+                end_date = end_date.strftime("%Y-%m-%d")
+
+                # Генерация случайного названия
+                title = f"{random.choice(adjectives)} {random.choice(competition_types)} №{random.randint(1, 50)}"
+
+                # Вставка данных в таблицу competition
+                cur.execute(
+                    """
+                    INSERT INTO competition (title, address, logo, start_date, end_date, id_organizer)
+                    VALUES (%s, %s, %s, %s, %s, %s);
+                    """,
+                    (
+                        title,
+                        "Competition Address",
+                        "Competition Logo",
+                        start_date,
+                        end_date,
+                        id_organizer,
+                    ),
+                )
+
+            conn.commit()
+
+
+def generate_protocols(conn_params):
+    with psycopg2.connect(**conn_params) as conn:
+        with conn.cursor() as cur:
+            # Получение ID соревнований, которые еще не имеют протоколов
+            cur.execute(
+                """
+                SELECT id_competition FROM competition 
+                WHERE id_competition NOT IN (SELECT id_competition FROM protocol)
+            """
+            )
+            competition_ids = [row[0] for row in cur.fetchall()]
+
+            for comp_id in competition_ids:
+                # Генерация случайной даты и имени файла
+                date = datetime.now() - timedelta(days=random.randint(1, 5 * 365))
+                date = date.strftime("%Y-%m-%d")
+                file_name = f"protocol_{comp_id}.pdf"
+
+                # Вставка данных в таблицу protocol
+                cur.execute(
+                    """
+                    INSERT INTO protocol (name, date, file, id_competition)
+                    VALUES (%s, %s, %s, %s);
+                """,
+                    (f"Protocol for Competition {comp_id}", date, file_name, comp_id),
+                )
+
+            conn.commit()
+
+
+def generate_judge_requests(conn_params):
+    with psycopg2.connect(**conn_params) as conn:
+        with conn.cursor() as cur:
+            # Получение списка всех соревнований
+            cur.execute("SELECT id_competition FROM competition")
+            competitions = [row[0] for row in cur.fetchall()]
+
+            # Получение списка всех судей
+            cur.execute(
+                "SELECT id_judge, name, surname, patronymic, category, region, federation FROM judge"
+            )
+            judges = cur.fetchall()
+
+            for competition_id in competitions:
+                # Выбор случайного количества судей от 5 до 7 для каждого соревнования
+                selected_judges = random.sample(judges, random.randint(5, 7))
+
+                for judge in selected_judges:
+                    (
+                        id_judge,
+                        name,
+                        surname,
+                        patronymic,
+                        category,
+                        region,
+                        federation,
+                    ) = judge
+                    # Определение статуса регистрации
+                    is_registered = random.choices([True, False], [0.9, 0.1])[0]
+
+                    # Вставка данных в таблицу judge_request
+                    cur.execute(
+                        """
+                        INSERT INTO judge_request (name, surname, patronymic, category, region, federation, is_registered, id_competition, id_judge)
+                        VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s);
+                    """,
+                        (
+                            name,
+                            surname,
+                            patronymic,
+                            category,
+                            region,
+                            federation,
+                            is_registered,
+                            competition_id,
+                            id_judge,
+                        ),
+                    )
+
+            conn.commit()
+
+
+def generate_participant_requests(conn_params):
+    with psycopg2.connect(**conn_params) as conn:
+        with conn.cursor() as cur:
+            # Получение списка всех соревнований
+            cur.execute("SELECT id_competition FROM competition")
+            competitions = [row[0] for row in cur.fetchall()]
+
+            # Получение списка всех спортсменов
+            cur.execute(
+                "SELECT id_sportsman, name, surname, patronymic, gender, birthday, region, club, federation, category FROM sportsman"
+            )
+            sportsmen = cur.fetchall()
+
+            for competition_id in competitions:
+                # Выбор случайного количества участников
+                selected_sportsmen = random.sample(sportsmen, random.randint(30, 60))
+
+                for sportsman in selected_sportsmen:
+                    (
+                        id_sportsman,
+                        name,
+                        surname,
+                        patronymic,
+                        gender,
+                        birthday,
+                        region,
+                        club,
+                        federation,
+                        category,
+                    ) = sportsman
+                    # Определение статуса регистрации
+                    is_registered = random.choices([True, False], [0.9, 0.1])[0]
+
+                    # Выбор подходящих дивизионов с учетом гендера
+                    cur.execute(
+                        """
+                        SELECT id_division FROM division
+                        WHERE gender = %s
+                    """,
+                        (gender,),
+                    )
+                    divisions = [row[0] for row in cur.fetchall()]
+
+                    # Выбор случайного дивизиона из подходящих
+                    id_division = random.choice(divisions)
+
+                    # Вставка данных в таблицу participant_request
+                    cur.execute(
+                        """
+                        INSERT INTO participant_request (
+                            name, surname, patronymic, gender, birthday, region, club, federation, category, is_registered, id_competition, id_sportsman, id_division
+                        ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s);
+                    """,
+                        (
+                            name,
+                            surname,
+                            patronymic,
+                            gender,
+                            birthday,
+                            region,
+                            club,
+                            federation,
+                            category,
+                            is_registered,
+                            competition_id,
+                            id_sportsman,
+                            id_division,
+                        ),
+                    )
+
+            conn.commit()
+
+
+def generate_division_in_competitions(conn_params):
+    with psycopg2.connect(**conn_params) as conn:
+        with conn.cursor() as cur:
+            # Получение списка всех соревнований
+            cur.execute("SELECT id_competition FROM competition")
+            competitions = [row[0] for row in cur.fetchall()]
+
+            # Получение списка всех дивизионов
+            cur.execute("SELECT id_division FROM division")
+            divisions = [row[0] for row in cur.fetchall()]
+
+            for competition_id in competitions:
+                # Выбор случайного количества дивизионов
+                selected_divisions = random.sample(divisions, random.randint(8, 16))
+
+                for division_id in selected_divisions:
+                    # Вставка данных в таблицу division_in_competition
+                    cur.execute(
+                        """
+                        INSERT INTO division_in_competition (id_division, id_competition)
+                        VALUES (%s, %s);
+                    """,
+                        (division_id, competition_id),
+                    )
+
+            conn.commit()
+
+
+def generate_result_in_stage(conn_params):
+    with psycopg2.connect(**conn_params) as conn:
+        with conn.cursor() as cur:
+            # Получение списка всех заявок участников
+            cur.execute(
+                """
+                SELECT id_participant_request, id_division
+                FROM participant_request
+            """
+            )
+            participant_requests = cur.fetchall()
+
+            # Получение списка всех этапов соревнований
+            cur.execute("SELECT id_competition_stage FROM competition_stage")
+            competition_stages = [row[0] for row in cur.fetchall()]
+
+            for request in participant_requests:
+                id_participant_request, id_division = request
+                # Количество результатов для каждой заявки
+                num_results = random.randint(2, 6)
+
+                for _ in range(num_results):
+                    score = random.randint(150, 300)
+                    shield_index = random.randint(0, 20)
+                    target_index = random.choice(["A", "B", "C", "D"])
+                    id_competition_stage = random.choice(competition_stages)
+
+                    # Вставка данных в таблицу result_in_stage
+                    cur.execute(
+                        """
+                        INSERT INTO result_in_stage (score, shield_index, target_index, id_participant_request, id_division, id_competition_stage)
+                        VALUES (%s, %s, %s, %s, %s, %s);
+                    """,
+                        (
+                            score,
+                            shield_index,
+                            target_index,
+                            id_participant_request,
+                            id_division,
+                            id_competition_stage,
+                        ),
+                    )
+
+            conn.commit()
+
+
+def generate_shot_series(conn_params):
+    with psycopg2.connect(**conn_params) as conn:
+        with conn.cursor() as cur:
+            # Получение всех записей result_in_stage и связанных с ними данных
+            cur.execute(
+                """
+                SELECT rs.id_result_in_stage, rs.id_participant_request, pr.id_competition
+                FROM result_in_stage rs
+                JOIN participant_request pr ON rs.id_participant_request = pr.id_participant_request
+            """
+            )
+            results = cur.fetchall()
+
+            # Получение id судей с учетом id_competition
+            cur.execute(
+                """
+                SELECT id_judge_request, id_competition FROM judge_request
+            """
+            )
+            judges = cur.fetchall()
+
+            # Сопоставление судей с соревнованиями
+            judge_map = {}
+            for judge_id, comp_id in judges:
+                if comp_id in judge_map:
+                    judge_map[comp_id].append(judge_id)
+                else:
+                    judge_map[comp_id] = [judge_id]
+
+            for result in results:
+                id_result_in_stage, id_participant_request, id_competition = result
+
+                # Выбор случайного судьи для данного соревнования
+                if id_competition in judge_map:
+                    id_judge_request = random.choice(judge_map[id_competition])
+                else:
+                    # Если нет судьи для соревнования, пропускаем
+                    raise KeyError(f"Нету судей для соревнования {id_competition}")
+
+                # Выбираем случайное количество серий выстрелов
+                num_shot_series = random.randint(3, 10)
+
+                for _ in range(num_shot_series):
+                    score = random.randint(2, 10)
+                    photo = "path/to/photo.jpg"  # Пример пути к фото
+
+                    # Вставка данных в таблицу shot_series
+                    cur.execute(
+                        """
+                        INSERT INTO shot_series (score, photo, id_participant_request, id_result_in_stage, id_judge_request)
+                        VALUES (%s, %s, %s, %s, %s);
+                    """,
+                        (
+                            score,
+                            photo,
+                            id_participant_request,
+                            id_result_in_stage,
+                            id_judge_request,
+                        ),
+                    )
+
+            conn.commit()