"""
Модуль автоматического экспорта данных СКУД (Orion) из MS SQL Server в SQLite и Excel.
Добавлена фиксация Первой Активности (без учета направления) и среза по времени.
"""

import argparse
import logging
import os
import sys
import warnings
from datetime import datetime, timedelta

import pandas as pd
import pyodbc
from openpyxl.utils import get_column_letter

from config import SCUD_DIR, clean_scud_fio_light, load_exceptions
from core.database import save_scud_to_db, has_scud_logs_for_date

warnings.filterwarnings("ignore", message="pandas only supports SQLAlchemy connectable")

SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
LOG_DIR = os.path.join(SCRIPT_DIR, "..", "logs")
os.makedirs(LOG_DIR, exist_ok=True)

TODAY_DATE_STR = datetime.now().strftime("%d.%m.%Y")
LOG_FILE = os.path.join(LOG_DIR, f"export_{TODAY_DATE_STR}.log")

logger = logging.getLogger("scud_export")
logger.setLevel(logging.INFO)

if not logger.handlers:
    _file_handler = logging.FileHandler(LOG_FILE, encoding="utf-8")
    _console_handler = logging.StreamHandler(sys.stdout)
    _formatter = logging.Formatter("[%(asctime)s] [%(levelname)s] %(message)s", datefmt="%Y-%m-%d %H:%M:%S")
    _file_handler.setFormatter(_formatter)
    _console_handler.setFormatter(_formatter)
    logger.addHandler(_file_handler)
    logger.addHandler(_console_handler)


def log(message: str, level: str = "INFO"):
    level_map = {
        "INFO": logging.INFO,
        "ERROR": logging.ERROR,
        "WARNING": logging.WARNING,
        "SUCCESS": logging.INFO,
    }
    if level == "SUCCESS":
        logger.info(f"[SUCCESS] {message}")
    else:
        logger.log(level_map.get(level, logging.INFO), message)


SERVER_NAME = r"172.16.31.221\SQL"
DATABASE_NAME = "Orion-14.01.21-1"
SQL_USER = "sa"
SQL_PASSWORD = "123456"
ODBC_DRIVER = "ODBC Driver 18 for SQL Server"

SQL_QUERY_TEMPLATE = r"""
DECLARE @InputDate DATE = '{target_date}';
DECLARE @TargetDate DATE = @InputDate;

DECLARE @StartDate DATETIME = CAST(@TargetDate AS DATETIME);
DECLARE @EndDate DATETIME = DATEADD(SECOND, -1, DATEADD(DAY, 1, @StartDate));

WITH DailyLogs AS (
    SELECT 
        log.HozOrgan AS EmployeeID,
        log.TimeVal,
        log.Event,
        log.Mode,
        CASE 
            WHEN log.Mode = 2 OR log.Event IN (29, 27, 33) THEN 'OUT'
            WHEN log.Mode = 1 OR log.Event IN (28, 26, 32) THEN 'IN'
            ELSE 'OTHER' 
        END AS Direction,
        ROW_NUMBER() OVER (PARTITION BY log.HozOrgan ORDER BY log.TimeVal DESC) AS RowNumDesc
    FROM pLogData log WITH (NOLOCK)
    WHERE log.TimeVal BETWEEN @StartDate AND @EndDate
      AND log.HozOrgan IS NOT NULL
      AND log.HozOrgan > 0
),
Passages AS (
    SELECT
        EmployeeID,
        MIN(TimeVal) AS FirstRawEvent,
        MIN(CASE WHEN Direction = 'IN' THEN TimeVal END) AS FirstIn,
        MAX(CASE WHEN Direction = 'OUT' THEN TimeVal END) AS LastOut,
        MAX(CASE WHEN RowNumDesc = 1 THEN Direction END) AS LastEventType
    FROM DailyLogs
    GROUP BY EmployeeID
)
SELECT
    N'ЛЕНМОРНИИПРОЕКТ' AS [Фирма],
    ISNULL(CAST(div.Name AS NVARCHAR(255)), N'Без подразделения') AS [Подразделение],
    LTRIM(RTRIM(
        ISNULL(CAST(p.Name AS NVARCHAR(255)), N'') +
        CASE WHEN p.FirstName IS NOT NULL AND CAST(p.FirstName AS NVARCHAR(255)) <> ''
             THEN N' ' + CAST(p.FirstName AS NVARCHAR(255)) ELSE N'' END +
        CASE WHEN p.MidName IS NOT NULL AND CAST(p.MidName AS NVARCHAR(255)) <> ''
             THEN N' ' + CAST(p.MidName AS NVARCHAR(255)) ELSE N'' END
    )) AS [Сотрудник],
    ISNULL(CAST(post.Name AS NVARCHAR(255)), N'—') AS [Должность],
    ISNULL(CAST(p.TabNumber AS NVARCHAR(50)), N'—') AS [Таб_№],
    CONVERT(VARCHAR(10), @TargetDate, 104) AS [Дата],
    ISNULL(CAST(CONVERT(VARCHAR(8), pass.FirstIn, 108) AS NVARCHAR(20)), N'Нет входа') AS [Начало_дня],
    CASE 
        WHEN pass.FirstIn IS NULL AND pass.FirstRawEvent IS NOT NULL 
            THEN CAST(CONVERT(VARCHAR(8), pass.FirstRawEvent, 108) AS NVARCHAR(20))
        ELSE N'—'
    END AS [Первая_активность],
    CASE
        WHEN @TargetDate = CAST(GETDATE() AS DATE) AND (pass.LastEventType = 'IN' OR pass.LastOut IS NULL OR pass.LastOut <= pass.FirstIn)
            THEN N'Нет выхода'
        WHEN pass.LastOut IS NOT NULL AND pass.LastOut > pass.FirstIn
            THEN CAST(CONVERT(VARCHAR(8), pass.LastOut, 108) AS NVARCHAR(20))
        ELSE N'Нет выхода'
    END AS [Конец_дня],
    CASE
        WHEN pass.EmployeeID IS NOT NULL AND pass.FirstIn IS NOT NULL THEN
            RIGHT('0' + CAST(DATEDIFF(MINUTE,
                pass.FirstIn,
                CASE 
                    WHEN @TargetDate = CAST(GETDATE() AS DATE) AND (pass.LastEventType = 'IN' OR pass.LastOut IS NULL OR pass.LastOut <= pass.FirstIn) THEN GETDATE()
                    ELSE ISNULL(pass.LastOut, pass.FirstIn)
                END) / 60 AS VARCHAR), 2) + ':' +
            RIGHT('0' + CAST(DATEDIFF(MINUTE,
                pass.FirstIn,
                CASE 
                    WHEN @TargetDate = CAST(GETDATE() AS DATE) AND (pass.LastEventType = 'IN' OR pass.LastOut IS NULL OR pass.LastOut <= pass.FirstIn) THEN GETDATE()
                    ELSE ISNULL(pass.LastOut, pass.FirstIn)
                END) % 60 AS VARCHAR), 2)
        ELSE N'00:00'
    END AS [Находился_в_здании],
    CASE
        WHEN pass.EmployeeID IS NOT NULL THEN N'Присутствовал'
        ELSE N'Отсутствовал (Нет событий)'
    END AS [Статус]
FROM pList p WITH (NOLOCK)
LEFT JOIN PDivision div WITH (NOLOCK) ON p.Section = div.ID
LEFT JOIN PPost post WITH (NOLOCK) ON p.Post = post.ID
LEFT JOIN Passages pass ON p.ID = pass.EmployeeID
WHERE
    ISNULL(p.StatusRecord, 0) = 0
    AND p.DateTimeInArchive IS NULL
    AND ISNULL(CAST(div.Name AS NVARCHAR(255)), N'') NOT LIKE N'Аренд%'
    AND ISNULL(CAST(div.Name AS NVARCHAR(255)), N'') NOT IN (N'Без подразделения', N'')
    AND p.Name NOT LIKE N'бр.%'
    AND p.Name NOT LIKE N'Гость%'
    AND ISNULL(CAST(div.Name AS NVARCHAR(255)), N'') NOT IN (N'БГИ', N'КНР')
    AND ISNULL(CAST(div.Name AS NVARCHAR(255)), N'') NOT LIKE N'Рабоч%'
    AND ISNULL(CAST(div.Name AS NVARCHAR(255)), N'') NOT LIKE N'Врем%'
    AND ISNULL(CAST(div.Name AS NVARCHAR(255)), N'') NOT LIKE N'Практика%'
    AND ISNULL(CAST(div.Name AS NVARCHAR(255)), N'') NOT LIKE N'тест%'
    AND ISNULL(CAST(post.Name AS NVARCHAR(255)), N'') NOT LIKE N'Практикант%'
ORDER BY p.Name ASC;
"""


def auto_fit_columns(file_path: str, sheet_name: str, padding: float = 2.0, min_width: float = 8.0, max_width: float = 60.0):
    from openpyxl import load_workbook

    wb = load_workbook(file_path)
    ws = wb[sheet_name]

    for col_cells in ws.columns:
        max_len = 0
        col_letter = get_column_letter(col_cells[0].column)
        for cell in col_cells:
            if cell.value is not None:
                cell_len = len(str(cell.value))
                if cell_len > max_len:
                    max_len = cell_len
        width = max(min_width, min(max_len + padding, max_width))
        ws.column_dimensions[col_letter].width = width

    wb.save(file_path)


def get_targets(input_date: str | None):
    targets = []
    if input_date:
        try:
            parsed = datetime.strptime(input_date, "%d.%m.%Y").date()
            targets.append({"name": "Указанная дата", "date": parsed})
        except ValueError:
            log(f"ОШИБКА: Неверный формат даты '{input_date}'. Используйте ДД.ММ.ГГГГ", "ERROR")
            sys.exit(1)
    else:
        now = datetime.now()
        yesterday = (now - timedelta(days=3 if now.weekday() == 0 else 1)).date()
        today = now.date()

        targets.append({"name": "Вчера", "date": yesterday})
        targets.append({"name": "Сегодня", "date": today})

    return targets


def run_export(input_date: str | None = None, save_xlsx: bool = True, debug: bool = False):
    if debug:
        logger.setLevel(logging.DEBUG)
        log("=== ВКЛЮЧЕН РЕЖИМ ОТЛАДКИ (DEBUG MODE) ===", "WARNING")

    log("=== [ЭТАП 0] Выгрузка свежих данных СКУД напрямую из БД Орион ===")
    os.makedirs(SCUD_DIR, exist_ok=True)

    targets = get_targets(input_date)
    snapshot_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")

    conn_str = (
        f"DRIVER={{{ODBC_DRIVER}}};"
        f"SERVER={SERVER_NAME};"
        f"DATABASE={DATABASE_NAME};"
        f"UID={SQL_USER};"
        f"PWD={SQL_PASSWORD};"
        f"TrustServerCertificate=yes;"
        f"Encrypt=no;"
    )

    success = True
    for target in targets:
        processing_date = target["date"]
        processing_date_str = processing_date.strftime("%d.%m.%Y")
        period_label = target["name"]
        is_yesterday = (period_label == "Вчера")

        # ⚡️ ПРОВЕРКА: Если вчерашние данные уже есть в SQLite, повторную выгрузку из MS SQL пропускаем
        if is_yesterday and has_scud_logs_for_date(processing_date_str):
            log(f"--- Обработка периода: {period_label} ({processing_date_str}) ---")
            log(f"[ℹ️] Вчерашние логи СКУД за {processing_date_str} уже присутствуют в SQLite. Повторная выгрузка пропущена.", "INFO")
            continue

        log(f"--- Обработка периода: {period_label} ({processing_date_str}) ---")
        sql_query = SQL_QUERY_TEMPLATE.format(target_date=processing_date.strftime("%Y-%m-%d"))

        connection = None
        try:
            connection = pyodbc.connect(conn_str, timeout=120)
            df = pd.read_sql(sql_query, connection)

            log(f"База вернула {len(df)} строк за {processing_date_str}")

            if len(df) > 0:
                df['fio_clean'] = df['Сотрудник'].apply(clean_scud_fio_light)
                
                df['anomaly_flag'] = 'NONE'
                mask_anomaly = (df['Начало_дня'] == 'Нет входа') & (df['Первая_активность'] != '—')
                df.loc[mask_anomaly, 'anomaly_flag'] = 'ANOMALY_NO_IN_HAS_ACTIVITY'

                df['Пришел'] = df['Статус'].str.contains('Присутствовал', case=False, na=False) & (~mask_anomaly)

                save_scud_to_db(df, processing_date_str, snapshot_time=snapshot_time, is_yesterday=is_yesterday)
                log(f"[✓] Записи за {processing_date_str} успешно сохранены в SQLite!", "SUCCESS")

                if save_xlsx:
                    file_name = f"Сотрудники_{processing_date_str}.xlsx"
                    file_path = os.path.join(SCUD_DIR, file_name)

                    if os.path.exists(file_path):
                        try:
                            os.remove(file_path)
                        except OSError as e:
                            log(f"ОШИБКА при удалении старого файла {file_name}: {e}", "ERROR")

                    df.to_excel(file_path, sheet_name="Отчет", index=False, engine="openpyxl")
                    auto_fit_columns(file_path, sheet_name="Отчет")
                    log(f"[✓] Успешно экспортирован файл: data/scud/{file_name}", "SUCCESS")
            else:
                log(f"Запрос за {processing_date_str} вернул 0 строк.", "WARNING")

        except Exception as e:
            log(f"🛑 ОШИБКА выгрузки СКУД за {processing_date_str}: {e}", "ERROR")
            success = False
        finally:
            if connection is not None:
                connection.close()

    log("=== Выгрузка СКУД завершена ===\n")
    return success


if __name__ == "__main__":
    help_text = """
Модуль прямого экспорта данных СКУД Орион Pro (MS SQL Server) в SQLite и Excel.

ПРИМЕРЫ ЗАПУСКА:
  python services/scud_export.py                      -- Автоматическая выгрузка за Сегодня и Вчера
  python services/scud_export.py --date 05.08.2026   -- Точечная выгрузка СКУД за конкретную дату
  python services/scud_export.py --no-xlsx           -- Сохранение логов СКУД ТОЛЬКО в SQLite без дублирования в XLSX
  python services/scud_export.py -d                  -- Запуск в режиме отладки MS SQL запросов (DEBUG)
"""
    parser = argparse.ArgumentParser(
        description=help_text,
        formatter_class=argparse.RawDescriptionHelpFormatter
    )
    parser.add_argument("--date", dest="input_date", default=None, help="Дата выгрузки в формате ДД.ММ.ГГГГ (по умолчанию выгружаются Вчера и Сегодня)")
    parser.add_argument("-d", "--debug", action="store_true", help="Включить подробные логи отладки подключения и запросов к MS SQL")
    parser.add_argument("--no-xlsx", dest="save_xlsx", action="store_false", default=True, help="Отключить генерирование промежуточных XLSX-файлов в папке data/scud/")
    args = parser.parse_args()

    run_export(args.input_date, save_xlsx=args.save_xlsx, debug=args.debug)