#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
格式化器模块

提供响应格式化、数据转换和输出格式化功能
"""

import json
from datetime import datetime, date
from typing import Dict, List, Optional, Any, Union
from decimal import Decimal

class ResponseFormatter:
    """响应格式化器"""
    
    @staticmethod
    def success_response(data: Any = None, message: str = "操作成功", 
                        code: int = 200, extra: Dict[str, Any] = {}) -> Dict[str, Any]:
        """
        创建成功响应
        
        Args:
            data: 响应数据
            message: 响应消息
            code: 状态码
            extra: 额外信息
            
        Returns:
            Dict: 格式化的响应
        """
        response = {
            "success": True,
            "code": code,
            "message": message,
            "timestamp": datetime.now().isoformat(),
            "data": data
        }
        
        if extra:
            response.update(extra)
        
        return response
    
    @staticmethod
    def error_response(message: str = "操作失败", code: int = 400, 
                      error_type: str = "ValidationError", 
                      details: Dict[str, Any] = {}) -> Dict[str, Any]:
        """
        创建错误响应
        
        Args:
            message: 错误消息
            code: 错误码
            error_type: 错误类型
            details: 错误详情
            
        Returns:
            Dict: 格式化的错误响应
        """
        response = {
            "success": False,
            "code": code,
            "message": message,
            "error_type": error_type,
            "timestamp": datetime.now().isoformat()
        }
        
        if details:
            response["details"] = details
        
        return response
    
    @staticmethod
    def paginated_response(items: List[Any], total: int, page: int, 
                          page_size: int, message: str = "查询成功") -> Dict[str, Any]:
        """
        创建分页响应
        
        Args:
            items: 数据项列表
            total: 总数量
            page: 当前页码
            page_size: 页大小
            message: 响应消息
            
        Returns:
            Dict: 格式化的分页响应
        """
        total_pages = (total + page_size - 1) // page_size
        
        pagination = {
            "current_page": page,
            "page_size": page_size,
            "total_items": total,
            "total_pages": total_pages,
            "has_next": page < total_pages,
            "has_prev": page > 1
        }
        
        return ResponseFormatter.success_response(
            data={
                "items": items,
                "pagination": pagination
            },
            message=message
        )
    
    @staticmethod
    def stream_response(data: Any, event_type: str = "data", 
                       event_id: str = "") -> str:
        """
        创建流式响应
        
        Args:
            data: 响应数据
            event_type: 事件类型
            event_id: 事件ID
            
        Returns:
            str: SSE格式的响应
        """
        lines = []
        
        if event_id:
            lines.append(f"id: {event_id}")
        
        lines.append(f"event: {event_type}")
        
        # 将数据转换为JSON字符串
        if isinstance(data, (dict, list)):
            data_str = json.dumps(data, ensure_ascii=False, cls=DateTimeEncoder)
        else:
            data_str = str(data)
        
        lines.append(f"data: {data_str}")
        lines.append("")  # 空行表示事件结束
        
        return "\n".join(lines)
    
    @staticmethod
    def validation_error_response(errors: List[str], 
                                warnings: List[str] = []) -> Dict[str, Any]:
        """
        创建验证错误响应
        
        Args:
            errors: 错误列表
            warnings: 警告列表
            
        Returns:
            Dict: 格式化的验证错误响应
        """
        details = {"errors": errors}
        
        if warnings:
            details["warnings"] = warnings
        
        return ResponseFormatter.error_response(
            message="数据验证失败",
            code=422,
            error_type="ValidationError",
            details=details
        )
    
    @staticmethod
    def not_found_response(resource: str = "资源") -> Dict[str, Any]:
        """
        创建资源未找到响应
        
        Args:
            resource: 资源名称
            
        Returns:
            Dict: 格式化的未找到响应
        """
        return ResponseFormatter.error_response(
            message=f"{resource}未找到",
            code=404,
            error_type="NotFoundError"
        )
    
    @staticmethod
    def unauthorized_response(message: str = "未授权访问") -> Dict[str, Any]:
        """
        创建未授权响应
        
        Args:
            message: 错误消息
            
        Returns:
            Dict: 格式化的未授权响应
        """
        return ResponseFormatter.error_response(
            message=message,
            code=401,
            error_type="UnauthorizedError"
        )
    
    @staticmethod
    def forbidden_response(message: str = "禁止访问") -> Dict[str, Any]:
        """
        创建禁止访问响应
        
        Args:
            message: 错误消息
            
        Returns:
            Dict: 格式化的禁止访问响应
        """
        return ResponseFormatter.error_response(
            message=message,
            code=403,
            error_type="ForbiddenError"
        )
    
    @staticmethod
    def rate_limit_response(retry_after: int = 60) -> Dict[str, Any]:
        """
        创建限流响应
        
        Args:
            retry_after: 重试等待时间（秒）
            
        Returns:
            Dict: 格式化的限流响应
        """
        return ResponseFormatter.error_response(
            message="请求过于频繁，请稍后重试",
            code=429,
            error_type="RateLimitError",
            details={"retry_after": retry_after}
        )
    
    @staticmethod
    def server_error_response(message: str = "服务器内部错误") -> Dict[str, Any]:
        """
        创建服务器错误响应
        
        Args:
            message: 错误消息
            
        Returns:
            Dict: 格式化的服务器错误响应
        """
        return ResponseFormatter.error_response(
            message=message,
            code=500,
            error_type="InternalServerError"
        )

class ErrorFormatter:
    """错误格式化器"""
    
    @staticmethod
    def format_exception(exception: Exception, include_traceback: bool = False) -> Dict[str, Any]:
        """
        格式化异常信息
        
        Args:
            exception: 异常对象
            include_traceback: 是否包含堆栈跟踪
            
        Returns:
            Dict: 格式化的异常信息
        """
        error_info = {
            "type": exception.__class__.__name__,
            "message": str(exception),
            "timestamp": datetime.now().isoformat()
        }
        
        if include_traceback:
            import traceback
            error_info["traceback"] = traceback.format_exc()
        
        return error_info
    
    @staticmethod
    def format_validation_errors(errors: List[str], field_errors: Dict[str, List[str]] = {}) -> Dict[str, Any]:
        """
        格式化验证错误
        
        Args:
            errors: 通用错误列表
            field_errors: 字段特定错误字典
            
        Returns:
            Dict: 格式化的验证错误
        """
        formatted = {
            "general_errors": errors,
            "error_count": len(errors)
        }
        
        if field_errors:
            formatted["field_errors"] = field_errors
            formatted["error_count"] += sum(len(errs) for errs in field_errors.values())
        
        return formatted
    
    @staticmethod
    def format_database_error(error: Exception) -> Dict[str, Any]:
        """
        格式化数据库错误
        
        Args:
            error: 数据库异常
            
        Returns:
            Dict: 格式化的数据库错误
        """
        error_message = str(error)
        
        # 根据错误类型提供更友好的消息
        if "duplicate key" in error_message.lower():
            user_message = "数据已存在，请检查唯一性约束"
        elif "foreign key" in error_message.lower():
            user_message = "关联数据不存在，请检查数据完整性"
        elif "not null" in error_message.lower():
            user_message = "必填字段不能为空"
        elif "timeout" in error_message.lower():
            user_message = "数据库操作超时，请稍后重试"
        else:
            user_message = "数据库操作失败"
        
        return {
            "type": "DatabaseError",
            "user_message": user_message,
            "technical_message": error_message,
            "timestamp": datetime.now().isoformat()
        }

class DataFormatter:
    """数据格式化器"""
    
    @staticmethod
    def format_session_data(session_data: Dict[str, Any]) -> Dict[str, Any]:
        """
        格式化会话数据
        
        Args:
            session_data: 原始会话数据
            
        Returns:
            Dict: 格式化的会话数据
        """
        formatted = {
            "session_id": session_data.get("session_id"),
            "user_id": session_data.get("user_id"),
            "session_type": session_data.get("session_type"),
            "status": session_data.get("status"),
            "current_step": session_data.get("current_step", 1),
            "created_at": DataFormatter._format_datetime(session_data.get("created_at")),
            "updated_at": DataFormatter._format_datetime(session_data.get("updated_at")),
            "expires_at": DataFormatter._format_datetime(session_data.get("expires_at"))
        }
        
        # 添加可选字段
        optional_fields = ["title", "description", "session_config", "metadata"]
        for field in optional_fields:
            if field in session_data:
                formatted[field] = session_data[field]
        
        return formatted
    
    @staticmethod
    def format_step_data(step_data: Dict[str, Any]) -> Dict[str, Any]:
        """
        格式化步骤数据
        
        Args:
            step_data: 原始步骤数据
            
        Returns:
            Dict: 格式化的步骤数据
        """
        formatted = {
            "step_id": step_data.get("step_id"),
            "session_id": step_data.get("session_id"),
            "step_number": step_data.get("step_number"),
            "step_type": step_data.get("step_type"),
            "status": step_data.get("status"),
            "execution_mode": step_data.get("execution_mode", "sync"),
            "started_at": DataFormatter._format_datetime(step_data.get("started_at")),
            "completed_at": DataFormatter._format_datetime(step_data.get("completed_at")),
            "created_at": DataFormatter._format_datetime(step_data.get("created_at"))
        }
        
        # 添加执行结果
        if "result_data" in step_data:
            formatted["result_data"] = step_data["result_data"]
        
        # 添加错误信息
        if "error_message" in step_data:
            formatted["error_message"] = step_data["error_message"]
        
        # 计算执行时长
        if step_data.get("started_at") and step_data.get("completed_at"):
            start_time = step_data["started_at"]
            end_time = step_data["completed_at"]
            if isinstance(start_time, datetime) and isinstance(end_time, datetime):
                duration = (end_time - start_time).total_seconds()
                formatted["execution_duration_seconds"] = duration
        
        return formatted
    
    @staticmethod
    def format_workflow_state_data(state_data: Dict[str, Any]) -> Dict[str, Any]:
        """
        格式化工作流状态数据
        
        Args:
            state_data: 原始状态数据
            
        Returns:
            Dict: 格式化的状态数据
        """
        formatted = {
            "state_id": state_data.get("state_id"),
            "session_id": state_data.get("session_id"),
            "state_type": state_data.get("state_type"),
            "status": state_data.get("status"),
            "priority": state_data.get("priority"),
            "created_at": DataFormatter._format_datetime(state_data.get("created_at")),
            "updated_at": DataFormatter._format_datetime(state_data.get("updated_at")),
            "expires_at": DataFormatter._format_datetime(state_data.get("expires_at"))
        }
        
        # 添加状态特定数据
        if "state_data" in state_data:
            formatted["state_data"] = state_data["state_data"]
        
        # 添加可选字段
        optional_fields = ["category", "related_step", "assigned_to", "processed_by", "processed_at"]
        for field in optional_fields:
            if field in state_data:
                if field == "processed_at":
                    formatted[field] = DataFormatter._format_datetime(state_data[field])
                else:
                    formatted[field] = state_data[field]
        
        return formatted
    
    @staticmethod
    def format_memory_data(memory_data: Dict[str, Any]) -> Dict[str, Any]:
        """
        格式化记忆数据
        
        Args:
            memory_data: 原始记忆数据
            
        Returns:
            Dict: 格式化的记忆数据
        """
        formatted = {
            "memory_id": memory_data.get("memory_id"),
            "user_id": memory_data.get("user_id"),
            "memory_type": memory_data.get("memory_type"),
            "memory_key": memory_data.get("memory_key"),
            "category": memory_data.get("category"),
            "access_level": memory_data.get("access_level"),
            "importance": memory_data.get("importance"),
            "weight": memory_data.get("weight"),
            "access_count": memory_data.get("access_count", 0),
            "created_at": DataFormatter._format_datetime(memory_data.get("created_at")),
            "updated_at": DataFormatter._format_datetime(memory_data.get("updated_at"))
        }
        
        # 添加记忆数据（可能需要脱敏）
        if "memory_data" in memory_data:
            formatted["memory_data"] = DataFormatter._sanitize_memory_data(
                memory_data["memory_data"],
                memory_data.get("sensitivity", "low")
            )
        
        # 添加可选字段
        optional_fields = ["description", "tags", "last_accessed", "expires_at"]
        for field in optional_fields:
            if field in memory_data:
                if field in ["last_accessed", "expires_at"]:
                    formatted[field] = DataFormatter._format_datetime(memory_data[field])
                else:
                    formatted[field] = memory_data[field]
        
        return formatted
    
    @staticmethod
    def format_list_response(items: List[Dict[str, Any]], 
                           formatter_func, 
                           total: int = 0,
                           page: int = 0,
                           page_size: int = 0) -> Dict[str, Any]:
        """
        格式化列表响应
        
        Args:
            items: 数据项列表
            formatter_func: 格式化函数
            total: 总数量
            page: 页码
            page_size: 页大小
            
        Returns:
            Dict: 格式化的列表响应
        """
        formatted_items = [formatter_func(item) for item in items]
        
        result:Any = {"items": formatted_items}
        
        if total > 0:
            result["total"] = total
        
        if page > 0 and page_size > 0:
            result["pagination"] = {
                "current_page": page,
                "page_size": page_size,
                "total_pages": (total + page_size - 1) // page_size if total else 1
            }
        
        return result
    
    @staticmethod
    def _format_datetime(dt: Union[datetime, str, None]) -> Optional[str]:
        """
        格式化日期时间
        
        Args:
            dt: 日期时间对象或字符串
            
        Returns:
            Optional[str]: 格式化的日期时间字符串
        """
        if dt is None:
            return None
        
        if isinstance(dt, datetime):
            return dt.isoformat()
        
        if isinstance(dt, str):
            return dt
        
        return str(dt)
    
    @staticmethod
    def _sanitize_memory_data(memory_data: Dict[str, Any], sensitivity: str) -> Dict[str, Any]:
        """
        根据敏感度脱敏记忆数据
        
        Args:
            memory_data: 记忆数据
            sensitivity: 敏感度级别
            
        Returns:
            Dict: 脱敏后的数据
        """
        if sensitivity in ["high", "confidential"]:
            # 高敏感度数据需要脱敏
            sanitized = {}
            for key, value in memory_data.items():
                if key in ["password", "token", "secret", "private_key"]:
                    sanitized[key] = "***"
                elif isinstance(value, str) and len(value) > 10:
                    # 长字符串部分脱敏
                    sanitized[key] = value[:3] + "***" + value[-3:]
                else:
                    sanitized[key] = value
            return sanitized
        
        return memory_data.copy()

class DateTimeEncoder(json.JSONEncoder):
    """自定义JSON编码器，处理日期时间对象"""
    
    def default(self, obj):
        if isinstance(obj, datetime):
            return obj.isoformat()
        elif isinstance(obj, date):
            return obj.isoformat()
        elif isinstance(obj, Decimal):
            return float(obj)
        return super().default(obj)

def format_file_size(size_bytes: int) -> str:
    """
    格式化文件大小
    
    Args:
        size_bytes: 字节数
        
    Returns:
        str: 格式化的文件大小
    """
    if size_bytes == 0:
        return "0 B"
    
    size_names = ["B", "KB", "MB", "GB", "TB"]
    import math
    i = int(math.floor(math.log(size_bytes, 1024)))
    p = math.pow(1024, i)
    s = round(size_bytes / p, 2)
    return f"{s} {size_names[i]}"

def format_duration(seconds: float) -> str:
    """
    格式化持续时间
    
    Args:
        seconds: 秒数
        
    Returns:
        str: 格式化的持续时间
    """
    if seconds < 60:
        return f"{seconds:.2f}秒"
    elif seconds < 3600:
        minutes = seconds / 60
        return f"{minutes:.2f}分钟"
    else:
        hours = seconds / 3600
        return f"{hours:.2f}小时"

def truncate_text(text: str, max_length: int = 100, suffix: str = "...") -> str:
    """
    截断文本
    
    Args:
        text: 原始文本
        max_length: 最大长度
        suffix: 后缀
        
    Returns:
        str: 截断后的文本
    """
    if len(text) <= max_length:
        return text
    
    return text[:max_length - len(suffix)] + suffix

def mask_sensitive_info(text: str, mask_char: str = "*", visible_chars: int = 3) -> str:
    """
    遮蔽敏感信息
    
    Args:
        text: 原始文本
        mask_char: 遮蔽字符
        visible_chars: 可见字符数
        
    Returns:
        str: 遮蔽后的文本
    """
    if len(text) <= visible_chars * 2:
        return mask_char * len(text)
    
    return text[:visible_chars] + mask_char * (len(text) - visible_chars * 2) + text[-visible_chars:]