import json
import requests
import time
import hmac
import hashlib
import base64
import urllib.parse
import traceback
from typing import Dict, Any, List, Optional, Union


class DingTalkBot:
    """钉钉机器人工具类，用于发送分析结果到钉钉群"""
    
    def __init__(self, webhook_url: str, secret: Optional[str] = None):
        """
        初始化钉钉机器人
        
        Args:
            webhook_url: 钉钉机器人的webhook地址
            secret: 钉钉机器人的签名密钥（如果启用了安全设置）
        """
        self.webhook_url = webhook_url
        self.secret = secret
    
    def _sign(self) -> str:
        """
        生成钉钉机器人签名
        
        Returns:
            签名后的URL
        """
        if not self.secret:
            return self.webhook_url
        
        timestamp = str(round(time.time() * 1000))
        string_to_sign = f"{timestamp}\n{self.secret}"
        hmac_code = hmac.new(
            self.secret.encode(),
            string_to_sign.encode(),
            digestmod=hashlib.sha256
        ).digest()
        
        sign = urllib.parse.quote_plus(base64.b64encode(hmac_code))
        return f"{self.webhook_url}&timestamp={timestamp}&sign={sign}"
    
    def send_text(self, content: str, at_mobiles: List[str] = None, at_all: bool = False) -> Dict[str, Any]:
        """
        发送文本消息
        
        Args:
            content: 消息内容
            at_mobiles: 要@的手机号列表
            at_all: 是否@所有人
            
        Returns:
            接口返回结果
        """
        data = {
            "msgtype": "text",
            "text": {"content": content},
            "at": {
                "atMobiles": at_mobiles if at_mobiles else [],
                "isAtAll": at_all
            }
        }
        
        return self._post(data)
    
    def send_markdown(self, title: str, text: str, at_mobiles: List[str] = None, at_all: bool = False) -> Dict[str, Any]:
        """
        发送Markdown消息
        
        Args:
            title: 消息标题
            text: Markdown格式的消息内容
            at_mobiles: 要@的手机号列表
            at_all: 是否@所有人
            
        Returns:
            接口返回结果
        """
        data = {
            "msgtype": "markdown",
            "markdown": {
                "title": title,
                "text": text
            },
            "at": {
                "atMobiles": at_mobiles if at_mobiles else [],
                "isAtAll": at_all
            }
        }
        
        return self._post(data)
    
    def _post(self, data: Dict[str, Any]) -> Dict[str, Any]:
        """
        发送消息到钉钉
        
        Args:
            data: 消息数据
            
        Returns:
            接口返回结果
        """
        try:
            webhook = self._sign()
            headers = {'Content-Type': 'application/json; charset=utf-8'}
            response = requests.post(webhook, json=data, headers=headers)
            return response.json()
        except Exception as e:
            print(f"发送钉钉消息时出错: {e}")
            traceback.print_exc()
            return {"errcode": -1, "errmsg": str(e)}
    
    def _format_complex_content(self, content) -> str:
        """
        格式化复杂内容（JSON对象或列表）为易读的文本
        
        Args:
            content: 需要格式化的内容
            
        Returns:
            格式化后的文本
        """
        if isinstance(content, dict):
            # 将字典转换为项目列表
            formatted_text = ""
            for key, value in content.items():
                key_display = key.replace('_', ' ').title()
                if isinstance(value, (dict, list)):
                    formatted_text += f"- **{key_display}**: \n"
                    # 递归处理嵌套结构
                    nested_text = self._format_complex_content(value)
                    # 增加缩进
                    nested_text = '\n'.join([f"  {line}" for line in nested_text.split('\n')])
                    formatted_text += f"{nested_text}\n"
                else:
                    formatted_text += f"- **{key_display}**: {value}\n"
            return formatted_text
        elif isinstance(content, list):
            # 将列表转换为项目列表
            formatted_text = ""
            for item in content:
                if isinstance(item, (dict, list)):
                    nested_text = self._format_complex_content(item)
                    formatted_text += f"- {nested_text}\n"
                else:
                    formatted_text += f"- {item}\n"
            return formatted_text
        else:
            # 简单类型直接返回字符串
            return str(content)
    
    def format_analysis_result(self, symbol: str, analysis_result: Dict[str, Any]) -> str:
        """
        格式化分析结果为Markdown格式
        
        Args:
            symbol: 交易对符号
            analysis_result: 分析结果
            
        Returns:
            格式化后的Markdown文本
        """
        try:
            if not analysis_result or 'error' in analysis_result:
                return f"### {symbol} 分析结果错误\n\n获取分析结果时出错: {analysis_result.get('error', '未知错误')}"
            
            # 提取关键信息
            market_trend = analysis_result.get('market_trend', '未知')
            
            # 支撑位和阻力位
            support_levels = analysis_result.get('support_levels', [])
            if isinstance(support_levels, list):
                support_levels_str = '\n'.join([f"- {level}" for level in support_levels])
            else:
                support_levels_str = str(support_levels)
                
            resistance_levels = analysis_result.get('resistance_levels', [])
            if isinstance(resistance_levels, list):
                resistance_levels_str = '\n'.join([f"- {level}" for level in resistance_levels])
            else:
                resistance_levels_str = str(resistance_levels)
            
            # 技术指标分析
            technical_analysis = analysis_result.get('technical_analysis', '未知')
            if isinstance(technical_analysis, (dict, list)):
                technical_analysis = self._format_complex_content(technical_analysis)
            
            # 交易量分析
            volume_analysis = analysis_result.get('volume_analysis', '未知')
            if isinstance(volume_analysis, (dict, list)):
                volume_analysis = self._format_complex_content(volume_analysis)
            
            # 操作建议
            recommendation = analysis_result.get('recommendation', '未知')
            entry_points = analysis_result.get('entry_points', [])
            if isinstance(entry_points, list):
                entry_points_str = '、'.join([str(point) for point in entry_points])
            else:
                entry_points_str = str(entry_points)
                
            exit_points = analysis_result.get('exit_points', [])
            if isinstance(exit_points, list):
                exit_points_str = '、'.join([str(point) for point in exit_points])
            else:
                exit_points_str = str(exit_points)
            
            stop_loss = analysis_result.get('stop_loss', '未知')
            take_profit = analysis_result.get('take_profit', '未知')
            
            # 紧迫性评级
            urgency_level = analysis_result.get('urgency_level', 0)
            urgency_reason = analysis_result.get('urgency_reason', '未知')
            
            # 紧迫性等级图标
            if int(urgency_level) >= 4:
                urgency_icon = "🔴"
            elif int(urgency_level) >= 2:
                urgency_icon = "🟡"
            else:
                urgency_icon = "🟢"
            
            # 总结
            summary = analysis_result.get('summary', '无摘要')
            
            # 根据市场趋势设置图标
            if '牛' in str(market_trend) or 'bull' in str(market_trend).lower():
                trend_icon = "🟢"
            elif '熊' in str(market_trend) or 'bear' in str(market_trend).lower():
                trend_icon = "🔴"
            else:
                trend_icon = "🟡"
            
            # 构建Markdown文本
            markdown = f"""### {trend_icon} {symbol} 市场分析
            
**市场趋势**: {market_trend}

**技术指标分析**: 
{technical_analysis}

**交易量分析**: 
{volume_analysis}

**支撑位(斐波那契)**:
{support_levels_str}

**阻力位(斐波那契)**:
{resistance_levels_str}

**操作建议**: {recommendation}

**入场点位**: {entry_points_str}

**出场点位**: {exit_points_str}

**止损位**: {stop_loss}

**止盈位**: {take_profit}

**操作紧迫性**: {urgency_icon} {urgency_level}/5

**紧迫性原因**: {urgency_reason}

**总结**: {summary}

*分析时间: {time.strftime('%Y-%m-%d %H:%M:%S')}*
"""
            return markdown
        
        except Exception as e:
            print(f"格式化分析结果时出错: {e}")
            traceback.print_exc()
            return f"### {symbol} 格式化分析结果出错\n\n{str(e)}"
    
    def format_prediction_result(self, symbol: str, prediction_result: Dict[str, Any]) -> str:
        """
        格式化预测结果为Markdown格式
        
        Args:
            symbol: 交易对符号
            prediction_result: 预测结果
            
        Returns:
            格式化后的Markdown文本
        """
        try:
            if not prediction_result or 'error' in prediction_result:
                return f"### {symbol} 预测结果错误\n\n获取预测结果时出错: {prediction_result.get('error', '未知错误')}"
            
            # 提取关键信息
            current_price = prediction_result.get('current_price', '未知')
            
            # 24小时预测
            prediction_24h = prediction_result.get('prediction_24h', {})
            price_range_24h = prediction_24h.get('price_range', '未知')
            trend_24h = prediction_24h.get('trend', '未知')
            
            # 7天预测
            prediction_7d = prediction_result.get('prediction_7d', {})
            price_range_7d = prediction_7d.get('price_range', '未知')
            trend_7d = prediction_7d.get('trend', '未知')
            
            # 关键因素
            key_factors = prediction_result.get('key_factors', [])
            if isinstance(key_factors, list):
                key_factors_text = '\n'.join([f"- {factor}" for factor in key_factors])
            else:
                key_factors_text = str(key_factors)
            
            # 根据24小时趋势设置图标
            if '上涨' in str(trend_24h) or 'up' in str(trend_24h).lower():
                trend_icon = "🟢"
            elif '下跌' in str(trend_24h) or 'down' in str(trend_24h).lower():
                trend_icon = "🔴"
            else:
                trend_icon = "🟡"
            
            # 构建Markdown文本
            markdown = f"""### {trend_icon} {symbol} 价格预测
            
**当前价格**: {current_price}

**24小时预测**:
- 价格区间: {price_range_24h}
- 趋势: {trend_24h}

**7天预测**:
- 价格区间: {price_range_7d}
- 趋势: {trend_7d}

**关键影响因素**:
{key_factors_text}

*预测时间: {time.strftime('%Y-%m-%d %H:%M:%S')}*
"""
            return markdown
        
        except Exception as e:
            print(f"格式化预测结果时出错: {e}")
            traceback.print_exc()
            return f"### {symbol} 格式化预测结果出错\n\n{str(e)}"
    
    def format_strategy_result(self, symbol: str, strategy_result: Dict[str, Any]) -> str:
        """
        格式化策略结果为Markdown格式
        
        Args:
            symbol: 交易对符号
            strategy_result: 策略结果
            
        Returns:
            格式化后的Markdown文本
        """
        try:
            if not strategy_result or 'error' in strategy_result:
                return f"### {symbol} 策略结果错误\n\n获取策略结果时出错: {strategy_result.get('error', '未知错误')}"
            
            # 提取关键信息
            position = strategy_result.get('position', '未知')
            
            entry_points = strategy_result.get('entry_points', [])
            if isinstance(entry_points, list):
                entry_points_str = '、'.join([str(point) for point in entry_points])
            else:
                entry_points_str = str(entry_points)
                
            exit_points = strategy_result.get('exit_points', [])
            if isinstance(exit_points, list):
                exit_points_str = '、'.join([str(point) for point in exit_points])
            else:
                exit_points_str = str(exit_points)
            
            stop_loss = strategy_result.get('stop_loss', '未知')
            take_profit = strategy_result.get('take_profit', '未知')
            
            # 紧迫性评级
            urgency_level = strategy_result.get('urgency_level', 0)
            
            reasoning = strategy_result.get('reasoning', '无理由')
            
            # 根据建议仓位设置图标
            if '买' in position or 'buy' in str(position).lower():
                position_icon = "🟢"
            elif '卖' in position or 'sell' in str(position).lower():
                position_icon = "🔴"
            else:
                position_icon = "⚪"
            
            # 紧迫性等级图标
            if int(urgency_level) >= 4:
                urgency_icon = "🔴"
            elif int(urgency_level) >= 2:
                urgency_icon = "🟡"
            else:
                urgency_icon = "🟢"
            
            # 构建Markdown文本
            markdown = f"""### {symbol} 交易策略
            
**建议操作**: {position_icon} {position}

**入场点位**: {entry_points_str}

**出场点位**: {exit_points_str}

**止损位**: {stop_loss}

**止盈位**: {take_profit}

**操作紧迫性**: {urgency_icon} {urgency_level}/5

**策略理由**:
{reasoning}

*策略生成时间: {time.strftime('%Y-%m-%d %H:%M:%S')}*
"""
            return markdown
        
        except Exception as e:
            print(f"格式化策略结果时出错: {e}")
            traceback.print_exc()
            return f"### {symbol} 格式化策略结果出错\n\n{str(e)}"
    
    def format_integrated_report(self, symbol: str, analysis_result: Dict[str, Any]) -> str:
        """
        格式化整合后的分析报告
        
        Args:
            symbol: 交易对符号
            analysis_result: 分析结果
            
        Returns:
            格式化后的文本
        """
        try:
            if not analysis_result or 'error' in analysis_result:
                return f"### {symbol} 分析结果错误\n\n获取分析结果时出错: {analysis_result.get('error', '未知错误')}"
            
            # 提取关键信息
            market_trend = analysis_result.get('market_trend', '未知')
            
            # 支撑位和阻力位的格式化
            def format_fibonacci_levels(levels):
                formatted_lines = []
                if isinstance(levels, list):
                    for level in levels:
                        if isinstance(level, dict) and 'level' in level and 'price' in level:
                            formatted_lines.append(f"- {level['level']} 位: {level['price']}")
                        else:
                            formatted_lines.append(f"- {level}")
                elif isinstance(levels, dict):
                    for level, price in levels.items():
                        if level.replace('.', '', 1).isdigit():  # 检查是否是数字形式的级别
                            formatted_lines.append(f"- {level} 位: {price}")
                        else:
                            formatted_lines.append(f"- {level}: {price}")
                else:
                    formatted_lines.append(str(levels))
                return '\n'.join(formatted_lines)
            
            support_levels = analysis_result.get('support_levels', [])
            support_levels_str = format_fibonacci_levels(support_levels)
            
            resistance_levels = analysis_result.get('resistance_levels', [])
            resistance_levels_str = format_fibonacci_levels(resistance_levels)
            
            # 技术指标分析
            technical_analysis = analysis_result.get('technical_analysis', '未知')
            if isinstance(technical_analysis, (dict, list)):
                technical_analysis = self._format_complex_content(technical_analysis)
            
            # 交易量分析
            volume_analysis = analysis_result.get('volume_analysis', '未知')
            if isinstance(volume_analysis, (dict, list)):
                volume_analysis = self._format_complex_content(volume_analysis)
            
            # 操作建议
            recommendation = analysis_result.get('recommendation', '未知')
            entry_points = analysis_result.get('entry_points', [])
            if isinstance(entry_points, list):
                entry_points_str = '、'.join([str(point) for point in entry_points])
            else:
                entry_points_str = str(entry_points)
                
            exit_points = analysis_result.get('exit_points', [])
            if isinstance(exit_points, list):
                exit_points_str = '、'.join([str(point) for point in exit_points])
            else:
                exit_points_str = str(exit_points)
            
            stop_loss = analysis_result.get('stop_loss', '未知')
            take_profit = analysis_result.get('take_profit', '未知')
            
            # 紧迫性评级
            urgency_level = analysis_result.get('urgency_level', 0)
            urgency_reason = analysis_result.get('urgency_reason', '未知')
            
            # 紧迫性等级图标
            if int(urgency_level) >= 4:
                urgency_icon = "🔴"
            elif int(urgency_level) >= 2:
                urgency_icon = "🟡"
            else:
                urgency_icon = "🟢"
            
            # 总结
            summary = analysis_result.get('summary', '无摘要')
            
            # 根据市场趋势设置图标
            if '牛' in str(market_trend) or 'bull' in str(market_trend).lower():
                trend_icon = "🟢"
            elif '熊' in str(market_trend) or 'bear' in str(market_trend).lower():
                trend_icon = "🔴"
            else:
                trend_icon = "🟡"
            
            # 构建Markdown文本
            markdown = f"""### DeepSeek AI 加密货币分析报告

**交易对**: {symbol}

**分析时间**: {time.strftime('%Y-%m-%d %H:%M:%S')}

**市场趋势**: {trend_icon} {market_trend}

**技术指标分析**: 
{technical_analysis}

**交易量分析**: 
{volume_analysis}

**支撑位(斐波那契)**:
{support_levels_str}

**阻力位(斐波那契)**:
{resistance_levels_str}

**操作建议**: {recommendation}

**入场点位**: {entry_points_str}

**出场点位**: {exit_points_str}

**止损位**: {stop_loss}

**止盈位**: {take_profit}

**操作紧迫性**: {urgency_icon} {urgency_level}/5

**紧迫性原因**: {urgency_reason}

**总结**: {summary}

"""
            return markdown
        
        except Exception as e:
            print(f"格式化整合后的分析报告时出错: {e}")
            traceback.print_exc()
            return f"### {symbol} 格式化整合后的分析报告出错\n\n{str(e)}"
    
    def send_analysis_report(self, symbol: str, analysis_data: Dict[str, Any]) -> Dict[str, Any]:
        """
        发送分析报告（整合市场分析和交易建议）
        
        Args:
            symbol: 交易对符号
            analysis_data: 包含分析数据
            
        Returns:
            接口返回结果
        """
        try:
            analysis_result = analysis_data.get('analysis', {})
            
            # 获取市场趋势，用于设置标题图标
            market_trend = ''
            if analysis_result and 'market_trend' in analysis_result:
                market_trend = analysis_result['market_trend']
                
            if '牛' in str(market_trend) or 'bull' in str(market_trend).lower():
                title_icon = "🟢"
            elif '熊' in str(market_trend) or 'bear' in str(market_trend).lower():
                title_icon = "🔴"
            else:
                title_icon = "🟡"
            
            # 获取建议操作
            position = analysis_result.get('recommendation', '未知')
            
            # 构建标题
            title = f"{title_icon} {symbol} 加密货币分析 | 建议: {position}"
            
            # 格式化分析结果（整合了分析和交易建议）
            markdown_text = self.format_integrated_report(symbol, analysis_result)
            
            # 发送Markdown消息
            return self.send_markdown(title, markdown_text)
        
        except Exception as e:
            print(f"发送分析报告时出错: {e}")
            traceback.print_exc()
            error_msg = f"### {symbol} 分析报告生成错误\n\n{str(e)}"
            return self.send_markdown(f"⚠️ {symbol} 分析报告错误", error_msg)