refactor: step 2 - extract domain services (tasks, prompts, snapshots, knowledge)

core/connection.py

@@ -0,0 +1,27 @@
+"""
+===============================================================================
+FILE: core/connection.py
+PROJECT: SCUD Orion AI (Unified Architecture)
+ROLE: Единый менеджер подключений к базе данных SQLite (WAL mode, timeouts).
+===============================================================================
+"""
+
+import os
+import sqlite3
+from config import DATA_DIR
+
+DB_PATH = os.path.join(DATA_DIR, "scud_orion_ai.db")
+
+
+def get_connection(row_factory: bool = False) -> sqlite3.Connection:
+    """
+    Создает оптимизированное подключение к SQLite.
+    row_factory=True возвращает sqlite3.Row для доступа к полям по имени.
+    """
+    conn = sqlite3.connect(DB_PATH, timeout=30.0)
+    if row_factory:
+        conn.row_factory = sqlite3.Row
+    conn.execute("PRAGMA foreign_keys = ON;")
+    conn.execute("PRAGMA journal_mode = WAL;")
+    conn.execute("PRAGMA synchronous = NORMAL;")
+    return conn

core/database.py

@@ -1,480 +1,35 @@
-import os
+"""
-import sqlite3
+===============================================================================
-import json
+FILE: core/database.py
-import pandas as pd
+ROLE: Фасад ядра базы данных с полной обратной совместимостью импортов.
-from datetime import datetime
+===============================================================================
-from config import DATA_DIR
+"""
-
+
-DB_PATH = os.path.join(DATA_DIR, "scud_orion_ai.db")
+from core.connection import get_connection, DB_PATH
-
+from core.schema import init_all_tables
-
+
-def get_connection():
+from core.repositories.scud_repo import (
-    """Создает подключение к базе данных SQLite с оптимизированными настройками."""
+    has_scud_logs_for_date,
-    conn = sqlite3.connect(DB_PATH)
+    has_yesterday_final_snapshot,
-    conn.execute("PRAGMA foreign_keys = ON;")
+    get_or_create_snapshot_id,
-    conn.execute("PRAGMA journal_mode = WAL;")
+    save_scud_to_db,
-    return conn
+    get_latest_snapshot_time,
-
+    load_scud_from_db_by_snapshot,
-
+    get_available_snapshots,
-def init_db():
+    delete_snapshot_by_id,
-    """Создает структуру таблиц и индексов в базе данных."""
+    delete_snapshots_by_date
-    with get_connection() as conn:
+)
-        cursor = conn.cursor()
+
-
+from core.repositories.zup_repo import (
-        cursor.execute("""
+    save_staff_to_db,
-        CREATE TABLE IF NOT EXISTS scud_logs (
+    load_staff_from_db,
-            id INTEGER PRIMARY KEY AUTOINCREMENT,
+    save_absences_to_db,
-            log_date TEXT NOT NULL,
+    load_absences_from_db,
-            fio TEXT NOT NULL,
+    save_anomalies_to_db,
-            fio_clean TEXT NOT NULL,
+    get_all_rules_from_db,
-            department TEXT,
+    add_rule_to_db,
-            position TEXT,
+    get_department_synonyms_dict,
-            time_in TEXT,
+    add_department_synonym_to_db
-            first_activity TEXT DEFAULT '—',
+)
-            time_out TEXT,
+
-            time_in_building TEXT,
+init_db = init_all_tables
-            is_present INTEGER NOT NULL,
-            anomaly_flag TEXT DEFAULT 'NONE',
-            snapshot_time TEXT DEFAULT NULL,
-            snapshot_id TEXT DEFAULT NULL,
-            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-        );
-        """)
-
-        cursor.execute("PRAGMA table_info(scud_logs);")
-        cols = [col[1] for col in cursor.fetchall()]
-        if 'snapshot_id' not in cols:
-            cursor.execute("ALTER TABLE scud_logs ADD COLUMN snapshot_id TEXT DEFAULT NULL;")
-
-        cursor.execute("""
-        CREATE TABLE IF NOT EXISTS zup_staff (
-            id INTEGER PRIMARY KEY AUTOINCREMENT,
-            snapshot_date TEXT NOT NULL,
-            fio TEXT NOT NULL,
-            fio_clean TEXT NOT NULL,
-            department TEXT,
-            position TEXT,
-            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-        );
-        """)
-
-        cursor.execute("""
-        CREATE TABLE IF NOT EXISTS zup_absences (
-            id INTEGER PRIMARY KEY AUTOINCREMENT,
-            absence_date TEXT NOT NULL,
-            fio TEXT NOT NULL,
-            fio_clean TEXT NOT NULL,
-            absence_type TEXT NOT NULL,
-            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-        );
-        """)
-
-        cursor.execute("""
-        CREATE TABLE IF NOT EXISTS anomalies_history (
-            id INTEGER PRIMARY KEY AUTOINCREMENT,
-            anomaly_date TEXT NOT NULL,
-            fio TEXT NOT NULL,
-            anomaly_type TEXT NOT NULL,
-            details TEXT NOT NULL,
-            human_status TEXT DEFAULT 'Pending',
-            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-        );
-        """)
-
-        cursor.execute("""
-        CREATE TABLE IF NOT EXISTS ai_knowledge_base (
-            id INTEGER PRIMARY KEY AUTOINCREMENT,
-            rule_text TEXT UNIQUE NOT NULL,
-            added_by TEXT DEFAULT 'Human',
-            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-        );
-        """)
-
-        cursor.execute("CREATE INDEX IF NOT EXISTS idx_scud_date ON scud_logs(log_date);")
-        cursor.execute("CREATE INDEX IF NOT EXISTS idx_scud_fio ON scud_logs(fio_clean);")
-        cursor.execute("CREATE INDEX IF NOT EXISTS idx_scud_snapshot ON scud_logs(snapshot_time);")
-
-        conn.commit()
-
-    sync_knowledge_base_to_db()
-
-def has_scud_logs_for_date(date_str):
-    """Проверяет, есть ли в базе данные СКУД за указанную дату."""
-    with get_connection() as conn:
-        cursor = conn.cursor()
-        cursor.execute("SELECT 1 FROM scud_logs WHERE log_date = ? LIMIT 1", (date_str,))
-        return cursor.fetchone() is not None
-
-def has_yesterday_final_snapshot(date_str):
-    """Проверяет, зафиксирован ли уже ИТОГОВЫЙ вчерашний снапшот с индексом Y/22:00."""
-    with get_connection() as conn:
-        cursor = conn.cursor()
-        cursor.execute(
-            "SELECT 1 FROM scud_logs WHERE log_date = ? AND (snapshot_id LIKE 'Y%' OR snapshot_time LIKE '%22:00:00') LIMIT 1",
-            (date_str,)
-        )
-        return cursor.fetchone() is not None
-
-
-def get_or_create_snapshot_id(snapshot_time, date_str=None, is_yesterday=False):
-    """
-    Генерирует датированный составной ID снапшота (YYYYMMDD-NNN или YYYYMMDD-NNN).
-    Префикс 'Y' присваивается автоматически, если дата логов (date_str) предшествует дате снятия (snapshot_time).
-    """
-    try:
-        dt_snap = datetime.strptime(snapshot_time, "%Y-%m-%d %H:%M:%S").date()
-        date_prefix = dt_snap.strftime("%Y%m%d")
-    except (ValueError, TypeError):
-        dt_snap = datetime.now().date()
-        date_prefix = dt_snap.strftime("%Y%m%d")
-
-    # Автоматическая проверка: если дата логов раньше даты выгрузки — проставляем Y
-    if date_str:
-        try:
-            dt_log = datetime.strptime(date_str, "%d.%m.%Y").date()
-            if dt_log < dt_snap:
-                is_yesterday = True
-        except Exception:
-            pass
-
-    prefix = "Y" if is_yesterday else ""
-
-    with get_connection() as conn:
-        cursor = conn.cursor()
-
-        if date_str:
-            cursor.execute(
-                "SELECT snapshot_id FROM scud_logs WHERE log_date = ? AND snapshot_time = ? AND snapshot_id IS NOT NULL LIMIT 1",
-                (date_str, snapshot_time)
-            )
-        else:
-            cursor.execute(
-                "SELECT snapshot_id FROM scud_logs WHERE snapshot_time = ? AND snapshot_id IS NOT NULL LIMIT 1",
-                (snapshot_time,)
-            )
-
-        row = cursor.fetchone()
-        if row and row[0]:
-            return row[0]
-
-        cursor.execute("""
-            SELECT snapshot_id 
-            FROM scud_logs 
-            WHERE snapshot_id LIKE ? OR snapshot_id LIKE ?
-            ORDER BY snapshot_id DESC LIMIT 1
-        """, (f"{date_prefix}-%", f"Y{date_prefix}-%"))
-
-        last_row = cursor.fetchone()
-        next_seq = 1
-
-        if last_row and last_row[0]:
-            parts = last_row[0].replace("Y", "").split("-")
-            if len(parts) > 1 and parts[1].isdigit():
-                next_seq = int(parts[1]) + 1
-
-        return f"{prefix}{date_prefix}-{next_seq:03d}"
-
-
-def save_scud_to_db(df_scud, date_str, snapshot_time=None, is_yesterday=False):
-    """Сохраняет логи СКУД с автоматическим присвоением составного snapshot_id."""
-    if df_scud is None or df_scud.empty:
-        return
-
-    if not snapshot_time:
-        snapshot_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-
-    # Передаем date_str в генератор snapshot_id
-    snapshot_id = get_or_create_snapshot_id(snapshot_time, date_str=date_str, is_yesterday=is_yesterday)
-
-    data_to_insert = []
-    for _, r in df_scud.iterrows():
-        data_to_insert.append((
-            date_str,
-            r.get('Сотрудник', r.get('fio_raw', '')),
-            r.get('fio_clean', ''),
-            r.get('Подразделение', ''),
-            r.get('Должность', ''),
-            r.get('Начало_дня', 'Нет входа'),
-            r.get('Первая_активность', '—'),
-            r.get('Конец_дня', 'Нет выхода'),
-            r.get('Находился_в_здании', '00:00'),
-            1 if r.get('Пришел', False) else 0,
-            r.get('anomaly_flag', 'NONE'),
-            snapshot_time,
-            snapshot_id
-        ))
-
-    with get_connection() as conn:
-        cursor = conn.cursor()
-        cursor.execute("DELETE FROM scud_logs WHERE log_date = ? AND snapshot_time = ?", (date_str, snapshot_time))
-        cursor.executemany("""
-            INSERT INTO scud_logs (
-                log_date, fio, fio_clean, department, position, 
-                time_in, first_activity, time_out, time_in_building, 
-                is_present, anomaly_flag, snapshot_time, snapshot_id
-            )
-            VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
-        """, data_to_insert)
-        conn.commit()
-
-
-def get_latest_snapshot_time(date_str=None):
-    with get_connection() as conn:
-        cursor = conn.cursor()
-        if date_str:
-            cursor.execute("SELECT snapshot_time FROM scud_logs WHERE log_date = ? AND snapshot_time IS NOT NULL ORDER BY snapshot_time DESC LIMIT 1", (date_str,))
-        else:
-            cursor.execute("SELECT snapshot_time FROM scud_logs WHERE snapshot_time IS NOT NULL ORDER BY snapshot_time DESC LIMIT 1")
-        row = cursor.fetchone()
-        return row[0] if row else None
-
-
-def load_scud_from_db_by_snapshot(date_str, snapshot_param=None):
-    """
-    Загружает логи СКУД по ID снапшота.
-    Если snapshot_param не задан (или искался прошлый день), приоритетно выбирает 
-    финальный вечерний снапшот, начинающийся с буквы 'Y' (срез на 22:00) за дату date_str.
-    """
-    with get_connection() as conn:
-        df = pd.DataFrame()
-
-        # 1. Если передан конкретный ID снапшота (например, '20260810-001')
-        if snapshot_param:
-            df = pd.read_sql_query(
-                "SELECT * FROM scud_logs WHERE snapshot_id = ?", 
-                conn, params=(str(snapshot_param),)
-            )
-
-        # 2. Если по snapshot_param ничего не найдено ИЛИ snapshot_param=None (запрос за вчерашний день):
-        if df.empty and date_str:
-            cursor = conn.cursor()
-            
-            # ⭐️ ПРИОРИТЕТ 1: Ищем срез, начальный символ которого 'Y' (вечерний зафиксированный Y-снапшот)
-            cursor.execute(
-                "SELECT snapshot_id FROM scud_logs WHERE log_date = ? AND snapshot_id LIKE 'Y%' ORDER BY id DESC LIMIT 1", 
-                (date_str,)
-            )
-            row = cursor.fetchone()
-            
-            # ⭐️ ПРИОРИТЕТ 2: Если Y-снапшот не найден, берем самый свежий обычный
-            if not row:
-                cursor.execute(
-                    "SELECT snapshot_id FROM scud_logs WHERE log_date = ? ORDER BY id DESC LIMIT 1", 
-                    (date_str,)
-                )
-                row = cursor.fetchone()
-
-            if row and row[0]:
-                target_snap_id = row[0]
-                df = pd.read_sql_query(
-                    "SELECT * FROM scud_logs WHERE snapshot_id = ?", 
-                    conn, params=(target_snap_id,)
-                )
-
-        # Приводим названия колонок к стандарту
-        if not df.empty:
-            rename_map = {
-                'department': 'Подразделение',
-                'position': 'Должность',
-                'fio': 'Сотрудник',
-                'time_in': 'Начало_дня',
-                'first_activity': 'Первая_активность',
-                'time_out': 'Конец_дня',
-                'duration': 'Находился_в_здании',
-                'is_present': 'Пришел'
-            }
-            # Переименовываем имеющиеся колонки
-            df = df.rename(columns={k: v for k, v in rename_map.items() if k in df.columns})
-
-            # Заполняем недостающие колонки значениями по умолчанию, если их не было в БД
-            required_cols = ['Пришел', 'Начало_дня', 'Первая_активность', 'Конец_дня', 'Находился_в_здании', 'anomaly_flag']
-            for col in required_cols:
-                if col not in df.columns:
-                    if col == 'Пришел':
-                        df[col] = False
-                    else:
-                        df[col] = '—'
-
-            # Приводим тип флага Пришел к bool
-            if 'Пришел' in df.columns:
-                df['Пришел'] = df['Пришел'].astype(bool)
-
-        return df
-
-def get_available_snapshots(date_str=None):
-    """
-    Возвращает список снапшотов.
-    Сортировка по времени snapshot_time DESC.
-    """
-    with get_connection() as conn:
-        cursor = conn.cursor()
-        if date_str:
-            cursor.execute("""
-                SELECT 
-                    snapshot_id, 
-                    log_date, 
-                    snapshot_time, 
-                    COUNT(*) as cnt 
-                FROM scud_logs 
-                WHERE log_date = ? AND snapshot_time IS NOT NULL 
-                GROUP BY snapshot_id, log_date, snapshot_time 
-                ORDER BY snapshot_time DESC
-            """, (date_str,))
-        else:
-            cursor.execute("""
-                SELECT 
-                    snapshot_id, 
-                    log_date, 
-                    snapshot_time, 
-                    COUNT(*) as cnt 
-                FROM scud_logs 
-                WHERE snapshot_time IS NOT NULL 
-                GROUP BY snapshot_id, log_date, snapshot_time 
-                ORDER BY snapshot_time DESC
-            """)
-        return cursor.fetchall()
-
-
-def save_staff_to_db(df_staff, date_str):
-    if df_staff is None or df_staff.empty:
-        return
-    data_to_insert = [
-        (date_str, r.get('ФИО', ''), r.get('fio_clean', ''), r.get('Подразделение', ''), r.get('Должность', ''))
-        for _, r in df_staff.iterrows()
-    ]
-    with get_connection() as conn:
-        cursor = conn.cursor()
-        cursor.execute("DELETE FROM zup_staff WHERE snapshot_date = ?", (date_str,))
-        cursor.executemany("INSERT INTO zup_staff (snapshot_date, fio, fio_clean, department, position) VALUES (?, ?, ?, ?, ?)", data_to_insert)
-        conn.commit()
-
-
-def save_absences_to_db(df_absent, date_str):
-    if df_absent is None or df_absent.empty:
-        return
-    data_to_insert = [
-        (date_str, r.get('ФИО', r.get('fio_clean', '')), r.get('fio_clean', ''), r.get('Вид_отсутствия', ''))
-        for _, r in df_absent.iterrows()
-    ]
-    with get_connection() as conn:
-        cursor = conn.cursor()
-        cursor.execute("DELETE FROM zup_absences WHERE absence_date = ?", (date_str,))
-        cursor.executemany("INSERT INTO zup_absences (absence_date, fio, fio_clean, absence_type) VALUES (?, ?, ?, ?)", data_to_insert)
-        conn.commit()
-
-
-def save_anomalies_to_db(anomalies_list, date_str):
-    if not anomalies_list:
-        return
-    data_to_insert = [
-        (date_str, a.get('fio', ''), a.get('type', ''), a.get('details', ''))
-        for a in anomalies_list
-    ]
-    with get_connection() as conn:
-        cursor = conn.cursor()
-        cursor.execute("DELETE FROM anomalies_history WHERE anomaly_date = ?", (date_str,))
-        cursor.executemany("INSERT INTO anomalies_history (anomaly_date, fio, anomaly_type, details) VALUES (?, ?, ?, ?)", data_to_insert)
-        conn.commit()
-
-
-def get_all_rules_from_db():
-    with get_connection() as conn:
-        cursor = conn.cursor()
-        cursor.execute("SELECT rule_text FROM ai_knowledge_base")
-        return [r[0] for r in cursor.fetchall()]
-
-
-def add_rule_to_db(rule_text, added_by="Human"):
-    if not rule_text or not rule_text.strip():
-        return
-    with get_connection() as conn:
-        cursor = conn.cursor()
-        try:
-            cursor.execute("INSERT OR IGNORE INTO ai_knowledge_base (rule_text, added_by) VALUES (?, ?)", (rule_text.strip(), added_by))
-            conn.commit()
-        except Exception as e:
-            print(f"[⚠️] Ошибка записи правила в БД: {e}")
-
-
-def sync_knowledge_base_to_db():
-    pass
-
-def delete_snapshot_by_id(snapshot_id: str):
-    """Удаляет конкретный снапшот из таблицы scud_logs по его ID."""
-    with get_connection() as conn:
-        cursor = conn.cursor()
-        cursor.execute("DELETE FROM scud_logs WHERE snapshot_id = ?", (snapshot_id,))
-        deleted_count = cursor.rowcount
-        conn.commit()
-    print(f"[✓] Удален снапшот [{snapshot_id}]. Удалено строк: {deleted_count}")
-    return deleted_count
-
-def delete_snapshots_by_date(date_str: str):
-    """Удаляет все снапшоты за указанную дату (например, '04.08.2026')."""
-    with get_connection() as conn:
-        cursor = conn.cursor()
-        # Удаляем по log_date или по дате внутри snapshot_id
-        cursor.execute("DELETE FROM scud_logs WHERE log_date = ? OR snapshot_id LIKE ?", (date_str, f"%{date_str.replace('.', '')}%"))
-        deleted_count = cursor.rowcount
-        conn.commit()
-    print(f"[✓] Удалены все снапшоты за дату [{date_str}]. Удалено строк: {deleted_count}")
-    return deleted_count
-def init_department_synonyms_db():
-    """Создает таблицу синонимов отделов в БД SQLite."""
-    with get_connection() as conn:
-        cursor = conn.cursor()
-        cursor.execute("""
-        CREATE TABLE IF NOT EXISTS department_synonyms (
-            id INTEGER PRIMARY KEY AUTOINCREMENT,
-            short_name TEXT UNIQUE NOT NULL,
-            full_name TEXT NOT NULL,
-            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-        );
-        """)
-        # По умолчанию добавляем ОВК -> Отдел внутреннего контроля
-        cursor.execute("""
-            INSERT OR IGNORE INTO department_synonyms (short_name, full_name) 
-            VALUES ('овк', 'отдел внутреннего контроля')
-        """)
-        conn.commit()
-
-
-def get_department_synonyms_dict():
-    """Возвращает словарь всех изученных синонимов {short_name: full_name}."""
-    init_department_synonyms_db()
-    with get_connection() as conn:
-        cursor = conn.cursor()
-        cursor.execute("SELECT LOWER(short_name), LOWER(full_name) FROM department_synonyms")
-        return {row[0]: row[1] for row in cursor.fetchall()}
-
-
-def add_department_synonym_to_db(short_name, full_name):
-    """Сохраняет новую пару синонимов отдела в базу SQLite."""
-    init_department_synonyms_db()
-    with get_connection() as conn:
-        cursor = conn.cursor()
-        cursor.execute(
-            "INSERT OR REPLACE INTO department_synonyms (short_name, full_name) VALUES (?, ?)",
-            (short_name.strip().lower(), full_name.strip().lower())
-        )
-        conn.commit()
-    print(f"[✓] В базу SQLite добавлен новый синоним отдела: '{short_name}' ⟷ '{full_name}'")
-
-def load_staff_from_db(date_str):
-    """Загружает Штатное расписание 1С из базы SQLite за указанную дату."""
-    with get_connection() as conn:
-        df = pd.read_sql_query(
-            "SELECT fio as 'ФИО', fio_clean, department as 'Подразделение', position as 'Должность' FROM zup_staff WHERE snapshot_date = ?",
-            conn, params=(date_str,)
-        )
-        return df if not df.empty else None
-
-def load_absences_from_db(date_str):
-    """Загружает документальные отсутствия 1С из базы SQLite за указанную дату."""
-    with get_connection() as conn:
-        df = pd.read_sql_query(
-            "SELECT fio as 'ФИО', fio_clean, absence_type as 'Вид_отсутствия' FROM zup_absences WHERE absence_date = ?",
-            conn, params=(date_str,)
-        )
-        return df if not df.empty else None
-    

core/repositories/scud_repo.py

@@ -0,0 +1,199 @@
+"""
+===============================================================================
+FILE: core/repositories/scud_repo.py
+ROLE: Репозиторий логов СКУД, сохранение и загрузка снапшотов.
+===============================================================================
+"""
+
+from datetime import datetime
+import pandas as pd
+from core.connection import get_connection
+
+
+def has_scud_logs_for_date(date_str: str) -> bool:
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        cursor.execute("SELECT 1 FROM scud_logs WHERE log_date = ? LIMIT 1", (date_str,))
+        return cursor.fetchone() is not None
+
+
+def has_yesterday_final_snapshot(date_str: str) -> bool:
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        cursor.execute(
+            "SELECT 1 FROM scud_logs WHERE log_date = ? AND (snapshot_id LIKE 'Y%' OR snapshot_time LIKE '%22:00:00') LIMIT 1",
+            (date_str,)
+        )
+        return cursor.fetchone() is not None
+
+
+def get_or_create_snapshot_id(snapshot_time: str, date_str: str = None, is_yesterday: bool = False) -> str:
+    try:
+        dt_snap = datetime.strptime(snapshot_time, "%Y-%m-%d %H:%M:%S").date()
+        date_prefix = dt_snap.strftime("%Y%m%d")
+    except (ValueError, TypeError):
+        dt_snap = datetime.now().date()
+        date_prefix = dt_snap.strftime("%Y%m%d")
+
+    if date_str:
+        try:
+            dt_log = datetime.strptime(date_str, "%d.%m.%Y").date()
+            if dt_log < dt_snap:
+                is_yesterday = True
+        except Exception:
+            pass
+
+    prefix = "Y" if is_yesterday else ""
+
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        if date_str:
+            cursor.execute(
+                "SELECT snapshot_id FROM scud_logs WHERE log_date = ? AND snapshot_time = ? AND snapshot_id IS NOT NULL LIMIT 1",
+                (date_str, snapshot_time)
+            )
+        else:
+            cursor.execute(
+                "SELECT snapshot_id FROM scud_logs WHERE snapshot_time = ? AND snapshot_id IS NOT NULL LIMIT 1",
+                (snapshot_time,)
+            )
+
+        row = cursor.fetchone()
+        if row and row[0]:
+            return row[0]
+
+        cursor.execute("""
+            SELECT snapshot_id FROM scud_logs 
+            WHERE snapshot_id LIKE ? OR snapshot_id LIKE ?
+            ORDER BY snapshot_id DESC LIMIT 1
+        """, (f"{date_prefix}-%", f"Y{date_prefix}-%"))
+
+        last_row = cursor.fetchone()
+        next_seq = 1
+        if last_row and last_row[0]:
+            parts = last_row[0].replace("Y", "").split("-")
+            if len(parts) > 1 and parts[1].isdigit():
+                next_seq = int(parts[1]) + 1
+
+        return f"{prefix}{date_prefix}-{next_seq:03d}"
+
+
+def save_scud_to_db(df_scud: pd.DataFrame, date_str: str, snapshot_time: str = None, is_yesterday: bool = False) -> None:
+    if df_scud is None or df_scud.empty:
+        return
+
+    if not snapshot_time:
+        snapshot_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+
+    snapshot_id = get_or_create_snapshot_id(snapshot_time, date_str=date_str, is_yesterday=is_yesterday)
+
+    data_to_insert = [
+        (
+            date_str,
+            r.get('Сотрудник', r.get('fio_raw', '')),
+            r.get('fio_clean', ''),
+            r.get('Подразделение', ''),
+            r.get('Должность', ''),
+            r.get('Начало_дня', 'Нет входа'),
+            r.get('Первая_активность', '—'),
+            r.get('Конец_дня', 'Нет выхода'),
+            r.get('Находился_в_здании', '00:00'),
+            1 if r.get('Пришел', False) else 0,
+            r.get('anomaly_flag', 'NONE'),
+            snapshot_time,
+            snapshot_id
+        )
+        for _, r in df_scud.iterrows()
+    ]
+
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        cursor.execute("DELETE FROM scud_logs WHERE log_date = ? AND snapshot_time = ?", (date_str, snapshot_time))
+        cursor.executemany("""
+            INSERT INTO scud_logs (
+                log_date, fio, fio_clean, department, position, 
+                time_in, first_activity, time_out, time_in_building, 
+                is_present, anomaly_flag, snapshot_time, snapshot_id
+            )
+            VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+        """, data_to_insert)
+        conn.commit()
+
+
+def get_latest_snapshot_time(date_str: str = None):
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        if date_str:
+            cursor.execute("SELECT snapshot_time FROM scud_logs WHERE log_date = ? AND snapshot_time IS NOT NULL ORDER BY snapshot_time DESC LIMIT 1", (date_str,))
+        else:
+            cursor.execute("SELECT snapshot_time FROM scud_logs WHERE snapshot_time IS NOT NULL ORDER BY snapshot_time DESC LIMIT 1")
+        row = cursor.fetchone()
+        return row[0] if row else None
+
+
+def load_scud_from_db_by_snapshot(date_str: str, snapshot_param: str = None) -> pd.DataFrame:
+    with get_connection() as conn:
+        df = pd.DataFrame()
+        if snapshot_param:
+            df = pd.read_sql_query("SELECT * FROM scud_logs WHERE snapshot_id = ?", conn, params=(str(snapshot_param),))
+
+        if df.empty and date_str:
+            cursor = conn.cursor()
+            cursor.execute("SELECT snapshot_id FROM scud_logs WHERE log_date = ? AND snapshot_id LIKE 'Y%' ORDER BY id DESC LIMIT 1", (date_str,))
+            row = cursor.fetchone()
+            if not row:
+                cursor.execute("SELECT snapshot_id FROM scud_logs WHERE log_date = ? ORDER BY id DESC LIMIT 1", (date_str,))
+                row = cursor.fetchone()
+
+            if row and row[0]:
+                df = pd.read_sql_query("SELECT * FROM scud_logs WHERE snapshot_id = ?", conn, params=(row[0],))
+
+        if not df.empty:
+            rename_map = {
+                'department': 'Подразделение', 'position': 'Должность', 'fio': 'Сотрудник',
+                'time_in': 'Начало_дня', 'first_activity': 'Первая_активность', 'time_out': 'Конец_дня',
+                'duration': 'Находился_в_здании', 'is_present': 'Пришел'
+            }
+            df = df.rename(columns={k: v for k, v in rename_map.items() if k in df.columns})
+            for col in ['Пришел', 'Начало_дня', 'Первая_активность', 'Конец_дня', 'Находился_в_здании', 'anomaly_flag']:
+                if col not in df.columns:
+                    df[col] = False if col == 'Пришел' else '—'
+            if 'Пришел' in df.columns:
+                df['Пришел'] = df['Пришел'].astype(bool)
+
+        return df
+
+
+def get_available_snapshots(date_str: str = None):
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        query = """
+            SELECT snapshot_id, log_date, snapshot_time, COUNT(*) as cnt 
+            FROM scud_logs 
+            WHERE snapshot_time IS NOT NULL 
+        """
+        params = []
+        if date_str:
+            query += " AND log_date = ?"
+            params.append(date_str)
+        query += " GROUP BY snapshot_id, log_date, snapshot_time ORDER BY snapshot_time DESC"
+        cursor.execute(query, params)
+        return cursor.fetchall()
+
+
+def delete_snapshot_by_id(snapshot_id: str) -> int:
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        cursor.execute("DELETE FROM scud_logs WHERE snapshot_id = ?", (snapshot_id,))
+        cnt = cursor.rowcount
+        conn.commit()
+    return cnt
+
+
+def delete_snapshots_by_date(date_str: str) -> int:
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        cursor.execute("DELETE FROM scud_logs WHERE log_date = ? OR snapshot_id LIKE ?", (date_str, f"%{date_str.replace('.', '')}%"))
+        cnt = cursor.rowcount
+        conn.commit()
+    return cnt

core/repositories/zup_repo.py

@@ -0,0 +1,97 @@
+"""
+===============================================================================
+FILE: core/repositories/zup_repo.py
+ROLE: Репозиторий кадровых данных 1С:ЗУП, аномалий и базы знаний.
+===============================================================================
+"""
+
+import pandas as pd
+from typing import List, Dict, Any
+from core.connection import get_connection
+
+
+def save_staff_to_db(df_staff: pd.DataFrame, date_str: str) -> None:
+    if df_staff is None or df_staff.empty:
+        return
+    data = [
+        (date_str, r.get('ФИО', ''), r.get('fio_clean', ''), r.get('Подразделение', ''), r.get('Должность', ''))
+        for _, r in df_staff.iterrows()
+    ]
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        cursor.execute("DELETE FROM zup_staff WHERE snapshot_date = ?", (date_str,))
+        cursor.executemany("INSERT INTO zup_staff (snapshot_date, fio, fio_clean, department, position) VALUES (?, ?, ?, ?, ?)", data)
+        conn.commit()
+
+
+def load_staff_from_db(date_str: str) -> pd.DataFrame:
+    with get_connection() as conn:
+        df = pd.read_sql_query(
+            "SELECT fio as 'ФИО', fio_clean, department as 'Подразделение', position as 'Должность' FROM zup_staff WHERE snapshot_date = ?",
+            conn, params=(date_str,)
+        )
+        return df if not df.empty else None
+
+
+def save_absences_to_db(df_absent: pd.DataFrame, date_str: str) -> None:
+    if df_absent is None or df_absent.empty:
+        return
+    data = [
+        (date_str, r.get('ФИО', r.get('fio_clean', '')), r.get('fio_clean', ''), r.get('Вид_отсутствия', ''))
+        for _, r in df_absent.iterrows()
+    ]
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        cursor.execute("DELETE FROM zup_absences WHERE absence_date = ?", (date_str,))
+        cursor.executemany("INSERT INTO zup_absences (absence_date, fio, fio_clean, absence_type) VALUES (?, ?, ?, ?)", data)
+        conn.commit()
+
+
+def load_absences_from_db(date_str: str) -> pd.DataFrame:
+    with get_connection() as conn:
+        df = pd.read_sql_query(
+            "SELECT fio as 'ФИО', fio_clean, absence_type as 'Вид_отсутствия' FROM zup_absences WHERE absence_date = ?",
+            conn, params=(date_str,)
+        )
+        return df if not df.empty else None
+
+
+def save_anomalies_to_db(anomalies_list: List[Dict[str, Any]], date_str: str) -> None:
+    if not anomalies_list:
+        return
+    data = [(date_str, a.get('fio', ''), a.get('type', ''), a.get('details', '')) for a in anomalies_list]
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        cursor.execute("DELETE FROM anomalies_history WHERE anomaly_date = ?", (date_str,))
+        cursor.executemany("INSERT INTO anomalies_history (anomaly_date, fio, anomaly_type, details) VALUES (?, ?, ?, ?)", data)
+        conn.commit()
+
+
+def get_all_rules_from_db() -> List[str]:
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        cursor.execute("SELECT rule_text FROM ai_knowledge_base")
+        return [r[0] for r in cursor.fetchall()]
+
+
+def add_rule_to_db(rule_text: str, added_by: str = "Human") -> None:
+    if not rule_text or not rule_text.strip():
+        return
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        cursor.execute("INSERT OR IGNORE INTO ai_knowledge_base (rule_text, added_by) VALUES (?, ?)", (rule_text.strip(), added_by))
+        conn.commit()
+
+
+def get_department_synonyms_dict() -> Dict[str, str]:
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        cursor.execute("SELECT LOWER(short_name), LOWER(full_name) FROM department_synonyms")
+        return {row[0]: row[1] for row in cursor.fetchall()}
+
+
+def add_department_synonym_to_db(short_name: str, full_name: str) -> None:
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        cursor.execute("INSERT OR REPLACE INTO department_synonyms (short_name, full_name) VALUES (?, ?)", (short_name.strip().lower(), full_name.strip().lower()))
+        conn.commit()

core/schema.py

@@ -0,0 +1,151 @@
+"""
+===============================================================================
+FILE: core/schema.py
+PROJECT: SCUD Orion AI (Unified Architecture)
+ROLE: DDL-схемы таблиц, создание индексов и инициализация базы данных.
+===============================================================================
+"""
+
+import logging
+from core.connection import get_connection
+
+logger = logging.getLogger("DB_SCHEMA")
+
+
+def init_all_tables() -> None:
+    """Инициализирует все таблицы и индексы системы."""
+    with get_connection() as conn:
+        cursor = conn.cursor()
+
+        # 1. Логи СКУД
+        cursor.execute("""
+        CREATE TABLE IF NOT EXISTS scud_logs (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            log_date TEXT NOT NULL,
+            fio TEXT NOT NULL,
+            fio_clean TEXT NOT NULL,
+            department TEXT,
+            position TEXT,
+            time_in TEXT,
+            first_activity TEXT DEFAULT '—',
+            time_out TEXT,
+            time_in_building TEXT,
+            is_present INTEGER NOT NULL,
+            anomaly_flag TEXT DEFAULT 'NONE',
+            snapshot_time TEXT DEFAULT NULL,
+            snapshot_id TEXT DEFAULT NULL,
+            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+        );
+        """)
+
+        # 2. Кадровые реестры 1С
+        cursor.execute("""
+        CREATE TABLE IF NOT EXISTS zup_staff (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            snapshot_date TEXT NOT NULL,
+            fio TEXT NOT NULL,
+            fio_clean TEXT NOT NULL,
+            department TEXT,
+            position TEXT,
+            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+        );
+        """)
+
+        cursor.execute("""
+        CREATE TABLE IF NOT EXISTS zup_absences (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            absence_date TEXT NOT NULL,
+            fio TEXT NOT NULL,
+            fio_clean TEXT NOT NULL,
+            absence_type TEXT NOT NULL,
+            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+        );
+        """)
+
+        # 3. Аномалии и база знаний
+        cursor.execute("""
+        CREATE TABLE IF NOT EXISTS anomalies_history (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            anomaly_date TEXT NOT NULL,
+            fio TEXT NOT NULL,
+            anomaly_type TEXT NOT NULL,
+            details TEXT NOT NULL,
+            human_status TEXT DEFAULT 'Pending',
+            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+        );
+        """)
+
+        cursor.execute("""
+        CREATE TABLE IF NOT EXISTS ai_knowledge_base (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            rule_text TEXT UNIQUE NOT NULL,
+            added_by TEXT DEFAULT 'Human',
+            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+        );
+        """)
+
+        cursor.execute("""
+        CREATE TABLE IF NOT EXISTS department_synonyms (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            short_name TEXT UNIQUE NOT NULL,
+            full_name TEXT NOT NULL,
+            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+        );
+        """)
+
+        # 4. Узлы системного промпта и сессии
+        cursor.execute("""
+        CREATE TABLE IF NOT EXISTS system_prompt_nodes (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            prompt_name TEXT DEFAULT 'main_agent',
+            section_id INTEGER NOT NULL,
+            item_id INTEGER NOT NULL,
+            content TEXT NOT NULL,
+            is_active INTEGER DEFAULT 1,
+            updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+            UNIQUE(prompt_name, section_id, item_id)
+        );
+        """)
+
+        cursor.execute("""
+        CREATE TABLE IF NOT EXISTS session_states (
+            session_id TEXT PRIMARY KEY,
+            state_type TEXT NOT NULL,
+            pending_data TEXT,
+            updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+        );
+        """)
+
+        cursor.execute("""
+        CREATE TABLE IF NOT EXISTS chat_messages (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            session_id TEXT NOT NULL,
+            role TEXT NOT NULL,
+            content TEXT NOT NULL,
+            is_ephemeral INTEGER DEFAULT 0,
+            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+        );
+        """)
+
+        # 5. Задачи
+        cursor.execute("""
+        CREATE TABLE IF NOT EXISTS tasks (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            task_id TEXT,
+            module TEXT DEFAULT 'general',
+            title TEXT NOT NULL,
+            priority TEXT DEFAULT 'MEDIUM',
+            status TEXT DEFAULT 'BACKLOG',
+            due_date TEXT,
+            user_id INTEGER DEFAULT 1,
+            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+        );
+        """)
+
+        # 6. Индексы
+        cursor.execute("CREATE INDEX IF NOT EXISTS idx_scud_date ON scud_logs(log_date);")
+        cursor.execute("CREATE INDEX IF NOT EXISTS idx_scud_fio ON scud_logs(fio_clean);")
+        cursor.execute("CREATE INDEX IF NOT EXISTS idx_scud_snapshot ON scud_logs(snapshot_time);")
+        cursor.execute("CREATE INDEX IF NOT EXISTS idx_prompt_nodes ON system_prompt_nodes(prompt_name, section_id, item_id);")
+
+        conn.commit()

modules/web_api/llm/db_tools.py

@@ -3,42 +3,61 @@
 FILE: modules/web_api/llm/db_tools.py
 PROJECT: SCUD Orion AI (Unified Architecture)
 MODULE: web_api / llm
-ROLE: Фасадная точка доступа ко всем функциям базы данных SQLite.
+ROLE: Фасадная точка доступа к доменным сервисам (Domain Facade).
+
+AI-CONTEXT-ANCHORS:
+  - ANCHOR[FACADE_EXPORTS]: Экспорт методов предметных сервисов для LLM и API.
 ===============================================================================
 """
 
-from .db.connection import DB_PATH, get_db_connection
+# ANCHOR[FACADE_EXPORTS]
-from .db.db_prompts import (
+from core.connection import DB_PATH, get_connection as get_db_connection
-    db_get_active_system_prompt,
+
-    db_add_system_prompt,
+# Домен: Задачи
-    db_apply_prompt_node_action,
+from services.tasks.service import (
-    db_get_tool_action,
+    get_tasks as db_get_tasks,
-    db_set_session_state,
+    add_task as db_add_task,
-    db_get_session_state,
+    update_task_details as db_update_task_details,
-    db_clear_session_state,
+    delete_task as db_delete_task,
-    db_get_rules,
+    execute_task_action as db_tasks_edit
-    db_get_stats,
-    db_get_anomalies,
-    db_get_reference
 )
+from services.tasks.exporter import export_tasks_to_markdown as db_export_tasks_markdown
+from services.tasks.repository import normalize_task_id
+
+# Домен: Системный промпт
+from services.prompts.service import (
+    get_active_system_prompt as db_get_active_system_prompt,
+    apply_prompt_action as db_apply_prompt_node_action,
+    save_full_prompt_draft as db_add_system_prompt,
+    create_prompt_preview
+)
+
+# Домен: Снапшоты СКУД
+from services.snapshots.service import (
+    get_snapshots_registry as db_get_snapshots,
+    delete_snapshots_safely as db_delete_snapshots
+)
+
+# Домен: База знаний
+from services.knowledge.service import (
+    get_rules as db_get_rules,
+    add_rule as db_add_rule
+)
+
+# Чат, сессии, статистика
 from .db.db_chat import (
     db_save_chat_message,
     db_get_chat_history,
     db_purge_ephemeral_messages,
     db_clear_chat_history
 )
-from .db.db_tasks import (
+from .db.db_prompts import (
-    normalize_task_id,
+    db_get_tool_action,
-    db_get_tasks,
+    db_set_session_state,
-    db_add_task,
+    db_get_session_state,
-    db_update_task_status,
+    db_clear_session_state,
-    db_update_task_details,
+    db_get_stats,
-    db_delete_task,
+    db_get_anomalies,
-    db_export_tasks_markdown,
+    db_get_reference
-    db_tasks_edit
-)
-from .db.db_snapshots import (
-    db_get_snapshots,
-    db_delete_snapshots
 )
 from .core.calendar_utils import get_dynamic_calendar_context as db_get_current_server_time

services/ai_verifier.py

@@ -151,7 +151,7 @@ def ai_verify_scud_against_staff(unrecognized_scud_fios, staff_fios):
     if not unrecognized_scud_fios or not staff_fios:
         return {}
 
-    # 🛡 Исключаем точные совпадения (чтобы ИИ не совершал ложных замен)
+    # Исключаем точные совпадения
     staff_fios_set = set(staff_fios)
     real_unrecognized = [f for f in unrecognized_scud_fios if f not in staff_fios_set]
 
@@ -163,7 +163,7 @@ def ai_verify_scud_against_staff(unrecognized_scud_fios, staff_fios):
     prompt = f"""
 Ты — кадровый аудитор безопасности СКУД.
 {rules_context}
-В СКУД записаны неопознанные ФИО: {json.dumps(unrecognized_scud_fios, ensure_ascii=False)}
+В СКУД записаны неопознанные ФИО: {json.dumps(real_unrecognized, ensure_ascii=False)}
 В официальном Штатном расписании 1С записаны ЭТАЛОНЫ: {json.dumps(staff_fios, ensure_ascii=False)}
 
 СТРОГИЕ ПРАВИЛА:
@@ -173,40 +173,59 @@ def ai_verify_scud_against_staff(unrecognized_scud_fios, staff_fios):
 4. В поле "warning" опиши обнаруженную опечатку.
 5. Запрещено выдумывать опечатки и объединять разных людей/однофамильцев!
 
-ОТВЕЧАЙ ТОЛЬКО ИСКЛЮЧИТЕЛЬНО В ФОРМАТЕ JSON!
+ОТВЕЧАЙ ТОЛЬКО ИСКЛЮЧИТЕЛЬНО В ФОРМАТЕ ВАЛИДНОГО JSON:
-
-Формат ответа:
 {{
   "verified_matches": [
     {{
       "scud_fio": "ФИО из СКУД",
       "staff_fio": "эталон ФИО из Штат 1С",
-      "warning": "Описание опечатки в СКУД или 'Точное совпадение (без опечаток)'"
+      "warning": "Описание опечатки в СКУД"
     }}
   ]
 }}
 """
     raw_response = ask_ollama(
         prompt, 
-        system_prompt="Ты — JSON API. Выдавай ТОЛЬКО валидный JSON без markdown-разметки."
+        system_prompt="Ты — строгий JSON API генератор. Отвечай только валидным JSON объектом без пояснительного текста."
     )
     
     mapping = {}
+    if not raw_response:
+        return mapping
+
+    # Фаза 1: Попытка прямого разбора с санитарной очисткой
     try:
         match = re.search(r'\{.*\}', raw_response, re.DOTALL)
         if match:
             json_str = match.group(0)
-            json_str = re.sub(r'\}\s*[^}\]]*$', '}', json_str)
+            # Убираем висячие запятые: {"a": 1,} -> {"a": 1}
+            json_str = re.sub(r',\s*([\}\]])', r'\1', json_str)
+            # Заменяем одинарные кавычки в ключах/значениях на двойные при необходимости
+            json_str = re.sub(r"(?<=\{|\,)\s*'([^']+)'\s*:", r'"\1":', json_str)
+            
             data = json.loads(json_str)
             for item in data.get("verified_matches", []):
                 scud_f = item.get("scud_fio")
                 staff_f = item.get("staff_fio")
                 warn = item.get("warning", "Точное совпадение (без опечаток)")
-                if scud_f and staff_f:
+                if scud_f and staff_f and staff_f in staff_fios_set:
                     mapping[scud_f] = {"staff_fio": staff_f, "warning": warn}
+            return mapping
+    except Exception:
+        pass
+
+    # Фаза 2: Резервный Regex-парсер (если JSON синтаксически сломан, но пары ключ-значение есть)
+    try:
+        pattern = r'["\']scud_fio["\']\s*:\s*["\']([^"\']+)["\'].*?["\']staff_fio["\']\s*:\s*["\']([^"\']+)["\']'
+        matches = re.findall(pattern, raw_response, re.DOTALL)
+        for scud_f, staff_f in matches:
+            scud_clean = scud_f.strip()
+            staff_clean = staff_f.strip()
+            if staff_clean in staff_fios_set:
+                mapping[scud_clean] = {"staff_fio": staff_clean, "warning": "Восстановлено парсером опечаток"}
     except Exception as e:
-        print(f"[!] Ошибка разбора JSON от ИИ при сверке опечаток: {e}")
+        print(f"[!] Ошибка резервного парсинга опечаток: {e}")
-    
+
     return mapping
 
 

services/knowledge/service.py

@@ -0,0 +1,37 @@
+"""
+===============================================================================
+FILE: services/knowledge/service.py
+PROJECT: SCUD Orion AI (Unified Architecture)
+MODULE: services / knowledge
+ROLE: Доменный сервис базы знаний, правил компании и синонимов подразделений.
+===============================================================================
+"""
+
+from typing import List, Dict, Any
+from core.repositories.zup_repo import (
+    get_all_rules_from_db,
+    add_rule_to_db,
+    get_department_synonyms_dict,
+    add_department_synonym_to_db
+)
+
+
+def get_rules() -> List[Dict[str, Any]]:
+    """Получить все правила базы знаний в виде списка словарей."""
+    raw_rules = get_all_rules_from_db()
+    return [{"id": idx, "rule_text": r} for idx, r in enumerate(raw_rules, 1)]
+
+
+def add_rule(rule_text: str, added_by: str = "Human") -> None:
+    """Добавить новое правило в базу знаний."""
+    add_rule_to_db(rule_text, added_by=added_by)
+
+
+def get_synonyms() -> Dict[str, str]:
+    """Получить словарь синонимов отделов."""
+    return get_department_synonyms_dict()
+
+
+def register_department_synonym(short_name: str, full_name: str) -> None:
+    """Сохранить новую пару синонимов подразделения."""
+    add_department_synonym_to_db(short_name, full_name)

services/prompts/diff_engine.py

@@ -0,0 +1,77 @@
+"""
+===============================================================================
+FILE: services/prompts/diff_engine.py
+PROJECT: SCUD Orion AI (Unified Architecture)
+MODULE: services / prompts
+ROLE: Формирование превью изменений промпта и генерация визуального HTML-Diff.
+
+AI-CONTEXT-ANCHORS:
+  - ANCHOR[PROMPT_DIFF_BUILDER]: Генерация черновика и HTML-разметки изменений.
+===============================================================================
+"""
+
+from typing import Tuple, Dict
+from core.connection import get_connection
+
+
+# ANCHOR[PROMPT_DIFF_BUILDER]
+def build_prompt_diff(action: str, section_id: int, item_id: int, content: str = "", prompt_name: str = "main_agent") -> Tuple[str, str]:
+    """
+    Возвращает кортеж (merged_draft_text, diff_html_for_ui).
+    """
+    act = (action or "ADD").upper()
+
+    with get_connection(row_factory=True) as conn:
+        cursor = conn.cursor()
+        cursor.execute("""
+            SELECT section_id, item_id, content 
+            FROM system_prompt_nodes 
+            WHERE prompt_name = ? AND is_active = 1 
+            ORDER BY section_id, item_id
+        """, (prompt_name,))
+        existing_nodes = cursor.fetchall()
+
+    nodes_dict = {(r["section_id"], r["item_id"]): r["content"] for r in existing_nodes}
+    
+    # Формируем словарь для чистого текста
+    nodes_dict_for_draft = {k: v for k, v in nodes_dict.items() if k != (section_id, item_id)} if act == "DELETE" else dict(nodes_dict)
+    if act != "DELETE":
+        nodes_dict_for_draft[(section_id, item_id)] = content
+
+    draft_lines = []
+    curr_sec = None
+    for (s_id, i_id), txt in sorted(nodes_dict_for_draft.items()):
+        if i_id == 0:
+            if curr_sec is not None: 
+                draft_lines.append("")
+            draft_lines.append(f"{s_id}. {txt}")
+            curr_sec = s_id
+        else:
+            draft_lines.append(f"   {s_id}.{i_id}. {txt}")
+    merged_prompt = "\n".join(draft_lines)
+
+    # Формируем HTML Diff
+    diff_lines = []
+    curr_sec = None
+    display_nodes = dict(nodes_dict)
+    if act != "DELETE":
+        display_nodes[(section_id, item_id)] = content
+
+    for (s_id, i_id), txt in sorted(display_nodes.items()):
+        if i_id == 0:
+            if curr_sec is not None: 
+                diff_lines.append("")
+            diff_lines.append(f"{s_id}. {txt}")
+            curr_sec = s_id
+        else:
+            if s_id == section_id and i_id == item_id:
+                if act == "DELETE":
+                    line_str = f'   <span class="line-through text-rose-600 font-bold bg-rose-50 px-1.5 py-0.5 rounded border border-rose-300 opacity-80">{s_id}.{i_id}. {txt} [УДАЛЕНИЕ]</span>'
+                else:
+                    line_str = f'   <span class="text-rose-600 font-bold bg-rose-50 px-1.5 py-0.5 rounded border border-rose-300">{s_id}.{i_id}. {txt}</span>'
+            else:
+                line_str = f"   {s_id}.{i_id}. {txt}"
+            diff_lines.append(line_str)
+
+    diff_html = "\n".join(diff_lines)
+    return merged_prompt, diff_html

services/prompts/repository.py

@@ -0,0 +1,114 @@
+"""
+===============================================================================
+FILE: services/prompts/repository.py
+PROJECT: SCUD Orion AI (Unified Architecture)
+MODULE: services / prompts
+ROLE: Реляционное хранилище узлов системного промпта (таблица system_prompt_nodes).
+
+AI-CONTEXT-ANCHORS:
+  - ANCHOR[PROMPT_REPO_GET_ACTIVE]: Сборка активного промпта из узлов БД.
+  - ANCHOR[PROMPT_REPO_APPLY_ACTION]: Точечная вставка / изменение / удаление узла.
+===============================================================================
+"""
+
+import re
+import logging
+from typing import List, Tuple, Dict, Any
+from core.connection import get_connection
+
+logger = logging.getLogger("PROMPT_REPO")
+
+
+# ANCHOR[PROMPT_REPO_GET_ACTIVE]
+def repo_get_active_prompt(prompt_name: str = "main_agent") -> str:
+    """Собирает структурированный текст системного промпта из активных узлов."""
+    with get_connection(row_factory=True) as conn:
+        cursor = conn.cursor()
+        cursor.execute("""
+            SELECT section_id, item_id, content 
+            FROM system_prompt_nodes 
+            WHERE prompt_name = ? AND is_active = 1
+            ORDER BY section_id ASC, item_id ASC
+        """, (prompt_name,))
+        rows = cursor.fetchall()
+        
+    if not rows:
+        return "Ты — ИИ-ассистент SCUD Orion AI."
+
+    lines = []
+    current_section = None
+
+    for r in rows:
+        sec_id = r["section_id"]
+        itm_id = r["item_id"]
+        content = r["content"]
+
+        if itm_id == 0:
+            if current_section is not None:
+                lines.append("")
+            lines.append(f"{sec_id}. {content}")
+            current_section = sec_id
+        else:
+            lines.append(f"   {sec_id}.{itm_id}. {content}")
+
+    return "\n".join(lines)
+
+
+# ANCHOR[PROMPT_REPO_APPLY_ACTION]
+def repo_apply_prompt_action(action: str, section_id: int, item_id: int, content: str = "", prompt_name: str = "main_agent") -> None:
+    """Точечно применяет действие (ADD / UPDATE / DELETE) над узлом промпта."""
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        action_clean = (action or "").upper()
+        if action_clean in ["ADD", "UPDATE", "EDIT"]:
+            cursor.execute("""
+                INSERT INTO system_prompt_nodes (prompt_name, section_id, item_id, content, is_active, updated_at)
+                VALUES (?, ?, ?, ?, 1, CURRENT_TIMESTAMP)
+                ON CONFLICT(prompt_name, section_id, item_id) DO UPDATE SET
+                    content = excluded.content,
+                    is_active = 1,
+                    updated_at = CURRENT_TIMESTAMP
+            """, (prompt_name, section_id, item_id, content))
+        elif action_clean == "DELETE":
+            cursor.execute("""
+                DELETE FROM system_prompt_nodes 
+                WHERE prompt_name = ? AND section_id = ? AND item_id = ?
+            """, (prompt_name, section_id, item_id))
+        conn.commit()
+
+
+def repo_save_full_prompt(prompt_text: str, prompt_name: str = "main_agent") -> None:
+    """Парсит и полностью перезаписывает все узлы промпта из сырого текста."""
+    with get_connection() as conn:
+        cursor = conn.cursor()
+        cursor.execute("DELETE FROM system_prompt_nodes WHERE prompt_name = ?", (prompt_name,))
+        
+        current_sec = 1
+        current_itm = 0
+        
+        for raw_line in prompt_text.splitlines():
+            clean_line = re.sub(r'<[^>]+>', '', raw_line).strip()
+            if not clean_line:
+                continue
+
+            sub_match = re.match(r'^(\d+)[\.\s]+(\d+)[\.\s\:\-]+(.*)$', clean_line)
+            sec_match = re.match(r'^(\d+)[\.\s\:\-]+(.*)$', clean_line)
+
+            if sub_match:
+                current_sec = int(sub_match.group(1))
+                current_itm = int(sub_match.group(2))
+                content = sub_match.group(3).strip()
+            elif sec_match and not any(c.islower() for c in sec_match.group(2)[:15]):
+                current_sec = int(sec_match.group(1))
+                current_itm = 0
+                content = sec_match.group(2).strip()
+            else:
+                current_itm += 1
+                content = clean_line
+
+            cursor.execute("""
+                INSERT OR REPLACE INTO system_prompt_nodes (prompt_name, section_id, item_id, content, is_active)
+                VALUES (?, ?, ?, ?, 1)
+            """, (prompt_name, current_sec, current_itm, content))
+        
+        conn.commit()

services/prompts/service.py

@@ -0,0 +1,37 @@
+"""
+===============================================================================
+FILE: services/prompts/service.py
+PROJECT: SCUD Orion AI (Unified Architecture)
+MODULE: services / prompts
+ROLE: Единый доменный сервис управления системным промптом.
+===============================================================================
+"""
+
+from typing import Tuple, Dict, Any
+from .repository import repo_get_active_prompt, repo_apply_prompt_action, repo_save_full_prompt
+from .diff_engine import build_prompt_diff
+
+
+def get_active_system_prompt() -> str:
+    """Получить текущий активный системный промпт."""
+    return repo_get_active_prompt()
+
+
+def apply_prompt_action(action: str, section_id: int, item_id: int, content: str = "") -> None:
+    """Применить точечное изменение к узлу промпта."""
+    repo_apply_prompt_action(action, section_id, item_id, content)
+
+
+def save_full_prompt_draft(draft_text: str) -> None:
+    """Сохранить полный черновик промпта."""
+    repo_save_full_prompt(draft_text)
+
+
+def create_prompt_preview(action: str, section_id: int, item_id: int, content: str = "") -> Tuple[str, str, str]:
+    """
+    Формирует черновик и diff.
+    Возвращает (merged_draft, diff_html, baseline_prompt).
+    """
+    baseline = repo_get_active_prompt()
+    draft, diff_html = build_prompt_diff(action, section_id, item_id, content)
+    return draft, diff_html, baseline

services/tasks/exporter.py

@@ -0,0 +1,101 @@
+"""
+===============================================================================
+FILE: services/tasks/exporter.py
+PROJECT: SCUD Orion AI (Unified Architecture)
+MODULE: services / tasks
+ROLE: Экспорт бэклога задач в форматированный Markdown файл (ROADMAP).
+
+AI-CONTEXT-ANCHORS:
+  - ANCHOR[TASK_EXPORT_MARKDOWN]: Построение структуры Markdown с чекбоксами.
+===============================================================================
+"""
+
+import os
+import uuid
+import logging
+from datetime import datetime
+from typing import Dict, Any, Optional, List
+from config import OUTPUT_DIR
+from .repository import repo_get_tasks
+
+logger = logging.getLogger("TASK_EXPORTER")
+
+
+# ANCHOR[TASK_EXPORT_MARKDOWN]
+def export_tasks_to_markdown(user_id: int, filename: Optional[str] = None, status_filter: Optional[str] = None) -> Dict[str, Any]:
+    """Генерирует Markdown-отчет задач с сохранением в output/web/tasks_export/{uuid}/."""
+    tasks = repo_get_tasks(user_id)
+    if not tasks:
+        return {"status": "error", "message": "Список задач пуст, экспорт отменен"}
+
+    # 1. Фильтрация задач по статусу
+    if status_filter and status_filter.upper() != "ALL":
+        tgt = status_filter.upper()
+        if tgt in ["COMPLETED", "DONE", "ВЫПОЛНЕННЫЕ"]:
+            tasks = [t for t in tasks if str(t.get("status", "")).upper() in ["COMPLETED", "DONE"]]
+        elif tgt in ["IN_PROGRESS", "PROGRESS", "В РАБОТЕ"]:
+            tasks = [t for t in tasks if str(t.get("status", "")).upper() in ["IN_PROGRESS", "PROGRESS"]]
+        elif tgt in ["BACKLOG", "PLANNED", "В ПЛАНАХ"]:
+            tasks = [t for t in tasks if str(t.get("status", "")).upper() in ["BACKLOG", "PLANNED"]]
+
+    if not tasks:
+        return {"status": "error", "message": f"Нет задач с фильтром '{status_filter}' для экспорта"}
+
+    target_filename = filename.strip() if (filename and filename.strip()) else "ROADMAP.md"
+    if not target_filename.endswith(".md"):
+        target_filename = f"{target_filename}.md"
+
+    now_str = datetime.now().strftime("%Y-%m-%d %H:%M")
+
+    # 2. Группировка по модулям
+    modules: Dict[str, List[Dict[str, Any]]] = {}
+    for t in tasks:
+        mod = t.get("module") or "general"
+        modules.setdefault(mod, []).append(t)
+
+    md_lines = [
+        "# 🗺️ Дорожная карта задач проекта (ROADMAP)\n",
+        f"> **Сформировано:** {now_str} | **Всего задач:** {len(tasks)}\n",
+        "---\n"
+    ]
+
+    for mod_name, mod_tasks in sorted(modules.items()):
+        md_lines.append(f"## Модуль `{mod_name}`\n")
+        for t in sorted(mod_tasks, key=lambda x: x.get("id", 0)):
+            status = str(t.get("status", "BACKLOG")).upper()
+            is_done = status in ["COMPLETED", "DONE"]
+            is_progress = status in ["IN_PROGRESS", "PROGRESS"]
+            
+            check_box = "[x]" if is_done else "[ ]"
+            t_id = t.get("id")
+            title = t.get("title", "Без названия")
+            prio = t.get("priority", "MEDIUM")
+            due = f" *(срок: {t['due_date']})*" if t.get("due_date") else ""
+            status_tag = " `[В РАБОТЕ]`" if is_progress else (" `[ЗАВЕРШЕНО]`" if is_done else "")
+
+            md_lines.append(f"- {check_box} **#{t_id}** [{prio}]{status_tag} {title}{due}")
+            
+        md_lines.append("\n---\n")
+
+    content = "\n".join(md_lines)
+
+    # 3. Сохранение файла в изолированную сессионную папку
+    tool_dir = os.path.join(OUTPUT_DIR, "web", "tasks_export")
+    os.makedirs(tool_dir, exist_ok=True)
+
+    session_token = uuid.uuid4().hex[:8]
+    session_dir = os.path.join(tool_dir, session_token)
+    os.makedirs(session_dir, exist_ok=True)
+
+    filepath = os.path.join(session_dir, target_filename)
+    with open(filepath, "w", encoding="utf-8") as f:
+        f.write(content)
+
+    return {
+        "status": "success",
+        "filename": target_filename,
+        "filepath": filepath,
+        "download_url": f"/api/v1/files/download/tasks_export/{session_token}/{target_filename}",
+        "tasks_count": len(tasks),
+        "message": f"Отчет успешно сформирован в файл `{target_filename}` (всего задач: {len(tasks)})."
+    }

services/tasks/repository.py

@@ -0,0 +1,181 @@
+"""
+===============================================================================
+FILE: services/tasks/repository.py
+PROJECT: SCUD Orion AI (Unified Architecture)
+MODULE: services / tasks
+ROLE: Низкоуровневые операции к таблице tasks в SQLite (CRUD).
+
+AI-CONTEXT-ANCHORS:
+  - ANCHOR[TASK_REPO_GET]: Выборка задач с фильтрацией по статусу и пользователю.
+  - ANCHOR[TASK_REPO_ADD]: Вставка новой задачи со сквозным ID.
+  - ANCHOR[TASK_REPO_UPDATE]: Обновление реквизитов и статуса задачи.
+  - ANCHOR[TASK_REPO_DELETE]: Удаление задачи по числовому или строковому ID.
+===============================================================================
+"""
+
+import re
+from typing import List, Dict, Any, Optional
+from core.connection import get_connection
+
+
+def normalize_task_id(task_id_input: str) -> str:
+    """Нормализует идентификатор задачи к формату TASK-XX."""
+    if not task_id_input:
+        return ""
+    clean_id = str(task_id_input).strip().upper().replace("TASK-", "").replace("TASK", "").replace("#", "")
+    if clean_id.isdigit():
+        num = int(clean_id)
+        return f"TASK-{num:02d}" if num < 100 else f"TASK-{num:03d}"
+    return f"TASK-{clean_id}"
+
+
+# ANCHOR[TASK_REPO_GET]
+def repo_get_tasks(user_id: int, status: Optional[str] = None) -> List[Dict[str, Any]]:
+    """Получает список задач пользователя с опциональной фильтрацией по статусу."""
+    conn = get_connection(row_factory=True)
+    cursor = conn.cursor()
+    
+    if status and status.upper() != "ALL":
+        target_status = status.upper()
+        if target_status in ["PROGRESS", "В РАБОТЕ"]: 
+            target_status = "IN_PROGRESS"
+        elif target_status in ["DONE", "ГОТОВО"]: 
+            target_status = "COMPLETED"
+        elif target_status in ["PLANNED", "ПЛАНЫ"]: 
+            target_status = "BACKLOG"
+        
+        cursor.execute("""
+            SELECT id, task_id, module, title, priority, status, due_date, created_at 
+            FROM tasks 
+            WHERE user_id = ? AND (status = ? OR (status = 'BACKLOG' AND ? = 'PLANNED'))
+            ORDER BY id DESC
+        """, (user_id, target_status, target_status))
+    else:
+        cursor.execute("""
+            SELECT id, task_id, module, title, priority, status, due_date, created_at 
+            FROM tasks 
+            WHERE user_id = ?
+            ORDER BY id DESC
+        """, (user_id,))
+        
+    rows = cursor.fetchall()
+    conn.close()
+    return [dict(r) for r in rows]
+
+
+# ANCHOR[TASK_REPO_ADD]
+def repo_add_task(
+    user_id: int, 
+    module: str, 
+    title: str, 
+    priority: str = "MEDIUM", 
+    due_date: Optional[str] = None,
+    status: str = "BACKLOG"
+) -> Dict[str, Any]:
+    """Добавляет новую задачу в SQLite с автогенерацией порядкового TASK-ID."""
+    conn = get_connection()
+    cursor = conn.cursor()
+    cursor.execute("SELECT MAX(id) FROM tasks")
+    max_id = cursor.fetchone()[0] or 0
+    new_task_id = f"TASK-{(max_id + 1):02d}"
+
+    target_status = status.upper() if status else "BACKLOG"
+    if target_status in ["PROGRESS", "В РАБОТЕ"]: 
+        target_status = "IN_PROGRESS"
+    elif target_status in ["DONE", "ГОТОВО"]: 
+        target_status = "COMPLETED"
+    elif target_status in ["PLANNED", "ПЛАНЫ", "BACKLOG"]: 
+        target_status = "BACKLOG"
+
+    cursor.execute("""
+        INSERT INTO tasks (task_id, module, title, priority, status, due_date, user_id)
+        VALUES (?, ?, ?, ?, ?, ?, ?)
+    """, (new_task_id, module or "general", title.strip(), priority.upper(), target_status, due_date, user_id))
+    conn.commit()
+    conn.close()
+    return {"status": "success", "task_id": new_task_id, "id": max_id + 1}
+
+
+# ANCHOR[TASK_REPO_UPDATE]
+def repo_update_task(
+    user_id: int, 
+    task_id: str, 
+    title: Optional[str] = None, 
+    priority: Optional[str] = None, 
+    status: Optional[str] = None, 
+    due_date: Optional[str] = None
+) -> Dict[str, Any]:
+    """Комплексное обновление атрибутов задачи."""
+    conn = get_connection()
+    cursor = conn.cursor()
+    
+    clean_num = re.sub(r'\D', '', str(task_id))
+    formatted_id = normalize_task_id(task_id)
+
+    updates = []
+    params = []
+
+    if title is not None and title.strip():
+        updates.append("title = ?")
+        params.append(title.strip())
+
+    if priority is not None and priority.strip():
+        updates.append("priority = ?")
+        params.append(priority.strip().upper())
+
+    if status is not None and status.strip():
+        target_status = status.strip().upper()
+        if target_status in ["PROGRESS", "В РАБОТЕ"]: 
+            target_status = "IN_PROGRESS"
+        elif target_status in ["DONE", "ГОТОВО"]: 
+            target_status = "COMPLETED"
+        elif target_status in ["PLANNED", "ПЛАНЫ"]: 
+            target_status = "BACKLOG"
+        updates.append("status = ?")
+        params.append(target_status)
+
+    if due_date is not None:
+        updates.append("due_date = ?")
+        params.append(due_date.strip() if due_date.strip() else None)
+
+    if not updates:
+        conn.close()
+        return {"status": "success", "message": "Нет данных для обновления"}
+
+    params.extend([clean_num, formatted_id, f"%{task_id.strip()}", user_id])
+    sql = f"""
+        UPDATE tasks 
+        SET {', '.join(updates)} 
+        WHERE (id = ? OR UPPER(task_id) = ? OR task_id LIKE ?) AND user_id = ?
+    """
+    cursor.execute(sql, params)
+    rows_affected = cursor.rowcount
+    conn.commit()
+    conn.close()
+
+    if rows_affected == 0:
+        return {"error": f"Задача {task_id} не найдена или принадлежит другому пользователю"}
+        
+    return {"status": "success", "message": f"Задача #{task_id} успешно обновлена"}
+
+
+# ANCHOR[TASK_REPO_DELETE]
+def repo_delete_task(user_id: int, task_id: str) -> Dict[str, Any]:
+    """Удаляет задачу по номеру ID."""
+    conn = get_connection()
+    cursor = conn.cursor()
+    clean_num = re.sub(r'\D', '', str(task_id))
+    formatted_id = normalize_task_id(task_id)
+    
+    cursor.execute("""
+        DELETE FROM tasks 
+        WHERE (id = ? OR UPPER(task_id) = ? OR task_id LIKE ?) AND user_id = ?
+    """, (clean_num, formatted_id, f"%{task_id.strip()}", user_id))
+    
+    deleted = cursor.rowcount
+    conn.commit()
+    conn.close()
+    
+    if deleted == 0:
+        return {"error": f"Задача {task_id} не найдена"}
+    return {"status": "success", "message": f"Задача #{task_id} удалена"}

services/tasks/service.py

@@ -0,0 +1,72 @@
+"""
+===============================================================================
+FILE: services/tasks/service.py
+PROJECT: SCUD Orion AI (Unified Architecture)
+MODULE: services / tasks
+ROLE: Единый доменный сервис задач (бизнес-логика и диспетчер операций).
+
+AI-CONTEXT-ANCHORS:
+  - ANCHOR[TASK_SERVICE_DISPATCHER]: Маршрутизация действий ADD/UPDATE/DELETE/EXPORT.
+===============================================================================
+"""
+
+from typing import Dict, Any, Optional, List
+from .repository import repo_get_tasks, repo_add_task, repo_update_task, repo_delete_task
+from .exporter import export_tasks_to_markdown
+
+
+def get_tasks(user_id: int, status: Optional[str] = None) -> List[Dict[str, Any]]:
+    """Получить список задач."""
+    return repo_get_tasks(user_id, status)
+
+
+def add_task(user_id: int, module: str, title: str, priority: str = "MEDIUM", due_date: Optional[str] = None, status: str = "BACKLOG") -> Dict[str, Any]:
+    """Создать задачу."""
+    res = repo_add_task(user_id, module, title, priority, due_date, status)
+    return {"status": "success", "task_id": res["task_id"], "message": f"Задача #{res['id']} создана и добавлена в планы"}
+
+
+def update_task_details(user_id: int, task_id: str, title: Optional[str] = None, priority: Optional[str] = None, status: Optional[str] = None, due_date: Optional[str] = None) -> Dict[str, Any]:
+    """Обновить задачу."""
+    return repo_update_task(user_id, task_id, title, priority, status, due_date)
+
+
+def delete_task(user_id: int, task_id: str) -> Dict[str, Any]:
+    """Удалить задачу."""
+    return repo_delete_task(user_id, task_id)
+
+
+# ANCHOR[TASK_SERVICE_DISPATCHER]
+def execute_task_action(
+    user_id: int,
+    action: str,
+    task_id: Optional[str] = None,
+    title: Optional[str] = None,
+    priority: Optional[str] = "MEDIUM",
+    status: Optional[str] = None,
+    module: Optional[str] = "general",
+    due_date: Optional[str] = None,
+    filename: Optional[str] = "ROADMAP.md"
+) -> Dict[str, Any]:
+    """Консолидированный диспетчер операций над задачами."""
+    act = (action or "").strip().upper()
+    
+    if act == "ADD":
+        if not title:
+            return {"status": "error", "message": "Для создания задачи требуется указать title"}
+        return add_task(user_id, module or "general", title, priority or "MEDIUM", due_date, status or "BACKLOG")
+        
+    elif act == "UPDATE":
+        if not task_id:
+            return {"status": "error", "message": "Для обновления требуется указать task_id"}
+        return update_task_details(user_id, str(task_id), title, priority, status, due_date)
+        
+    elif act == "DELETE":
+        if not task_id:
+            return {"status": "error", "message": "Для удаления требуется указать task_id"}
+        return delete_task(user_id, str(task_id))
+        
+    elif act == "EXPORT":
+        return export_tasks_to_markdown(user_id, filename=filename or "ROADMAP.md", status_filter=status)
+        
+    return {"status": "error", "message": f"Неизвестное действие action='{action}'"}