"""
数据库服务模块
"""
import datetime
import json
from typing import Dict, List, Optional, Any, Union

from sqlalchemy import select, insert, update

from app.database.connection import database
from app.database.models import Settings, ErrorLog
from app.log.logger import get_database_logger

logger = get_database_logger()


async def get_all_settings() -> List[Dict[str, Any]]:
    """
    获取所有设置
    
    Returns:
        List[Dict[str, Any]]: 设置列表
    """
    try:
        query = select(Settings)
        result = await database.fetch_all(query)
        return [dict(row) for row in result]
    except Exception as e:
        logger.error(f"Failed to get all settings: {str(e)}")
        raise


async def get_setting(key: str) -> Optional[Dict[str, Any]]:
    """
    获取指定键的设置
    
    Args:
        key: 设置键名
    
    Returns:
        Optional[Dict[str, Any]]: 设置信息，如果不存在则返回None
    """
    try:
        query = select(Settings).where(Settings.key == key)
        result = await database.fetch_one(query)
        return dict(result) if result else None
    except Exception as e:
        logger.error(f"Failed to get setting {key}: {str(e)}")
        raise


async def update_setting(key: str, value: str, description: Optional[str] = None) -> bool:
    """
    更新设置
    
    Args:
        key: 设置键名
        value: 设置值
        description: 设置描述
    
    Returns:
        bool: 是否更新成功
    """
    try:
        # 检查设置是否存在
        setting = await get_setting(key)
        
        if setting:
            # 更新设置
            query = (
                update(Settings)
                .where(Settings.key == key)
                .values(
                    value=value,
                    description=description if description else setting["description"],
                    updated_at=datetime.datetime.now()
                )
            )
            await database.execute(query)
            logger.info(f"Updated setting: {key}")
            return True
        else:
            # 插入设置
            query = (
                insert(Settings)
                .values(
                    key=key,
                    value=value,
                    description=description,
                    created_at=datetime.datetime.now(),
                    updated_at=datetime.datetime.now()
                )
            )
            await database.execute(query)
            logger.info(f"Inserted setting: {key}")
            return True
    except Exception as e:
        logger.error(f"Failed to update setting {key}: {str(e)}")
        return False


async def add_error_log(
    gemini_key: Optional[str] = None,
    model_name: Optional[str] = None,
    error_type: Optional[str] = None,
    error_log: Optional[str] = None,
    error_code: Optional[int] = None,
    request_msg: Optional[Union[Dict[str, Any], str]] = None
) -> bool:
    """
    添加错误日志
    
    Args:
        gemini_key: Gemini API密钥
        error_log: 错误日志
        error_code: 错误代码 (例如 HTTP 状态码)
        request_msg: 请求消息
    
    Returns:
        bool: 是否添加成功
    """
    try:
        # 如果request_msg是字典，则转换为JSON字符串
        if isinstance(request_msg, dict):
            request_msg_json = request_msg
        elif isinstance(request_msg, str):
            try:
                request_msg_json = json.loads(request_msg)
            except json.JSONDecodeError:
                request_msg_json = {"message": request_msg}
        else:
            request_msg_json = None
        
        # 插入错误日志
        query = (
            insert(ErrorLog)
            .values(
                gemini_key=gemini_key,
                error_type=error_type,
                error_log=error_log,
                model_name=model_name,
                error_code=error_code,
                request_msg=request_msg_json,
                request_time=datetime.datetime.now()
            )
        )
        await database.execute(query)
        logger.info(f"Added error log for key: {gemini_key}")
        return True
    except Exception as e:
        logger.error(f"Failed to add error log: {str(e)}")
        return False


async def get_error_logs(limit: int = 100, offset: int = 0) -> List[Dict[str, Any]]:
    """
    获取错误日志
    
    Args:
        limit: 限制数量
        offset: 偏移量
    
    Returns:
        List[Dict[str, Any]]: 错误日志列表
    """
    try:
        query = select(ErrorLog).order_by(ErrorLog.request_time.desc()).limit(limit).offset(offset)
        result = await database.fetch_all(query)
        return [dict(row) for row in result]
    except Exception as e:
        logger.error(f"Failed to get error logs: {str(e)}")
        raise