608 lines
21 KiB
Python
608 lines
21 KiB
Python
import json
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import requests
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import time
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import hmac
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import hashlib
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import base64
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import urllib.parse
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import traceback
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from typing import Dict, Any, List, Optional, Union
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class DingTalkBot:
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"""钉钉机器人工具类，用于发送分析结果到钉钉群"""
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def __init__(self, webhook_url: str, secret: Optional[str] = None):
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"""
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初始化钉钉机器人
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Args:
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webhook_url: 钉钉机器人的webhook地址
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secret: 钉钉机器人的签名密钥（如果启用了安全设置）
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"""
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self.webhook_url = webhook_url
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self.secret = secret
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def _sign(self) -> str:
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"""
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生成钉钉机器人签名
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Returns:
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签名后的URL
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"""
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if not self.secret:
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return self.webhook_url
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timestamp = str(round(time.time() * 1000))
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string_to_sign = f"{timestamp}\n{self.secret}"
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hmac_code = hmac.new(
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self.secret.encode(),
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string_to_sign.encode(),
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digestmod=hashlib.sha256
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).digest()
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sign = urllib.parse.quote_plus(base64.b64encode(hmac_code))
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return f"{self.webhook_url}×tamp={timestamp}&sign={sign}"
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def send_text(self, content: str, at_mobiles: List[str] = None, at_all: bool = False) -> Dict[str, Any]:
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"""
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发送文本消息
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Args:
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content: 消息内容
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at_mobiles: 要@的手机号列表
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at_all: 是否@所有人
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Returns:
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接口返回结果
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"""
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data = {
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"msgtype": "text",
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"text": {"content": content},
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"at": {
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"atMobiles": at_mobiles if at_mobiles else [],
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"isAtAll": at_all
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}
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}
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return self._post(data)
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def send_markdown(self, title: str, text: str, at_mobiles: List[str] = None, at_all: bool = False) -> Dict[str, Any]:
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"""
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发送Markdown消息
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Args:
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title: 消息标题
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text: Markdown格式的消息内容
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at_mobiles: 要@的手机号列表
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at_all: 是否@所有人
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Returns:
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接口返回结果
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"""
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data = {
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"msgtype": "markdown",
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"markdown": {
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"title": title,
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"text": text
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},
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"at": {
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"atMobiles": at_mobiles if at_mobiles else [],
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"isAtAll": at_all
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}
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}
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return self._post(data)
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def _post(self, data: Dict[str, Any]) -> Dict[str, Any]:
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"""
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发送消息到钉钉
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Args:
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data: 消息数据
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Returns:
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接口返回结果
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"""
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try:
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webhook = self._sign()
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headers = {'Content-Type': 'application/json; charset=utf-8'}
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response = requests.post(webhook, json=data, headers=headers)
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return response.json()
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except Exception as e:
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print(f"发送钉钉消息时出错: {e}")
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traceback.print_exc()
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return {"errcode": -1, "errmsg": str(e)}
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def _format_complex_content(self, content) -> str:
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"""
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格式化复杂内容（JSON对象或列表）为易读的文本
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Args:
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content: 需要格式化的内容
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Returns:
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格式化后的文本
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"""
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if isinstance(content, dict):
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# 将字典转换为项目列表
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formatted_text = ""
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for key, value in content.items():
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key_display = key.replace('_', ' ').title()
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if isinstance(value, (dict, list)):
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formatted_text += f"- **{key_display}**: \n"
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# 递归处理嵌套结构
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nested_text = self._format_complex_content(value)
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# 增加缩进
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nested_text = '\n'.join([f" {line}" for line in nested_text.split('\n')])
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formatted_text += f"{nested_text}\n"
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else:
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formatted_text += f"- **{key_display}**: {value}\n"
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return formatted_text
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elif isinstance(content, list):
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# 将列表转换为项目列表
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formatted_text = ""
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for item in content:
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if isinstance(item, (dict, list)):
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nested_text = self._format_complex_content(item)
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formatted_text += f"- {nested_text}\n"
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else:
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formatted_text += f"- {item}\n"
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return formatted_text
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else:
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# 简单类型直接返回字符串
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return str(content)
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def format_analysis_result(self, symbol: str, analysis_result: Dict[str, Any]) -> str:
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"""
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格式化分析结果为Markdown格式
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Args:
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symbol: 交易对符号
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analysis_result: 分析结果
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Returns:
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格式化后的Markdown文本
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"""
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try:
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if not analysis_result or 'error' in analysis_result:
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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')}"
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# 提取关键信息
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market_trend = analysis_result.get('market_trend', '未知')
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# 支撑位和阻力位
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support_levels = analysis_result.get('support_levels', [])
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if isinstance(support_levels, list):
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support_levels_str = '\n'.join([f"- {level}" for level in support_levels])
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else:
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support_levels_str = str(support_levels)
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resistance_levels = analysis_result.get('resistance_levels', [])
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if isinstance(resistance_levels, list):
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resistance_levels_str = '\n'.join([f"- {level}" for level in resistance_levels])
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else:
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resistance_levels_str = str(resistance_levels)
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# 技术指标分析
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technical_analysis = analysis_result.get('technical_analysis', '未知')
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if isinstance(technical_analysis, (dict, list)):
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technical_analysis = self._format_complex_content(technical_analysis)
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# 交易量分析
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volume_analysis = analysis_result.get('volume_analysis', '未知')
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if isinstance(volume_analysis, (dict, list)):
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volume_analysis = self._format_complex_content(volume_analysis)
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# 操作建议
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recommendation = analysis_result.get('recommendation', '未知')
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entry_points = analysis_result.get('entry_points', [])
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if isinstance(entry_points, list):
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entry_points_str = '、'.join([str(point) for point in entry_points])
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else:
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entry_points_str = str(entry_points)
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exit_points = analysis_result.get('exit_points', [])
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if isinstance(exit_points, list):
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exit_points_str = '、'.join([str(point) for point in exit_points])
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else:
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exit_points_str = str(exit_points)
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stop_loss = analysis_result.get('stop_loss', '未知')
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take_profit = analysis_result.get('take_profit', '未知')
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# 紧迫性评级
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urgency_level = analysis_result.get('urgency_level', 0)
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urgency_reason = analysis_result.get('urgency_reason', '未知')
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# 紧迫性等级图标
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if int(urgency_level) >= 4:
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urgency_icon = "🔴"
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elif int(urgency_level) >= 2:
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urgency_icon = "🟡"
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else:
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urgency_icon = "🟢"
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# 总结
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summary = analysis_result.get('summary', '无摘要')
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# 根据市场趋势设置图标
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if '牛' in str(market_trend) or 'bull' in str(market_trend).lower():
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trend_icon = "🟢"
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elif '熊' in str(market_trend) or 'bear' in str(market_trend).lower():
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trend_icon = "🔴"
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else:
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trend_icon = "🟡"
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# 构建Markdown文本
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markdown = f"""### {trend_icon} {symbol} 市场分析
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**市场趋势**: {market_trend}
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**技术指标分析**:
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{technical_analysis}
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**交易量分析**:
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{volume_analysis}
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**支撑位(斐波那契)**:
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{support_levels_str}
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**阻力位(斐波那契)**:
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{resistance_levels_str}
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**操作建议**: {recommendation}
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**入场点位**: {entry_points_str}
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**出场点位**: {exit_points_str}
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**止损位**: {stop_loss}
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**止盈位**: {take_profit}
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**操作紧迫性**: {urgency_icon} {urgency_level}/5
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**紧迫性原因**: {urgency_reason}
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**总结**: {summary}
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*分析时间: {time.strftime('%Y-%m-%d %H:%M:%S')}*
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"""
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return markdown
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except Exception as e:
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print(f"格式化分析结果时出错: {e}")
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traceback.print_exc()
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return f"### {symbol} 格式化分析结果出错\n\n{str(e)}"
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def format_prediction_result(self, symbol: str, prediction_result: Dict[str, Any]) -> str:
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"""
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格式化预测结果为Markdown格式
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Args:
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symbol: 交易对符号
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prediction_result: 预测结果
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Returns:
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格式化后的Markdown文本
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"""
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try:
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if not prediction_result or 'error' in prediction_result:
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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')}"
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# 提取关键信息
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current_price = prediction_result.get('current_price', '未知')
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# 24小时预测
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prediction_24h = prediction_result.get('prediction_24h', {})
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price_range_24h = prediction_24h.get('price_range', '未知')
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trend_24h = prediction_24h.get('trend', '未知')
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# 7天预测
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prediction_7d = prediction_result.get('prediction_7d', {})
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price_range_7d = prediction_7d.get('price_range', '未知')
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trend_7d = prediction_7d.get('trend', '未知')
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# 关键因素
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key_factors = prediction_result.get('key_factors', [])
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if isinstance(key_factors, list):
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key_factors_text = '\n'.join([f"- {factor}" for factor in key_factors])
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else:
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key_factors_text = str(key_factors)
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# 根据24小时趋势设置图标
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if '上涨' in str(trend_24h) or 'up' in str(trend_24h).lower():
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trend_icon = "🟢"
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elif '下跌' in str(trend_24h) or 'down' in str(trend_24h).lower():
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trend_icon = "🔴"
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else:
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trend_icon = "🟡"
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# 构建Markdown文本
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markdown = f"""### {trend_icon} {symbol} 价格预测
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**当前价格**: {current_price}
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**24小时预测**:
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- 价格区间: {price_range_24h}
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- 趋势: {trend_24h}
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**7天预测**:
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- 价格区间: {price_range_7d}
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- 趋势: {trend_7d}
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**关键影响因素**:
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{key_factors_text}
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*预测时间: {time.strftime('%Y-%m-%d %H:%M:%S')}*
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"""
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return markdown
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except Exception as e:
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print(f"格式化预测结果时出错: {e}")
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traceback.print_exc()
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return f"### {symbol} 格式化预测结果出错\n\n{str(e)}"
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def format_strategy_result(self, symbol: str, strategy_result: Dict[str, Any]) -> str:
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"""
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格式化策略结果为Markdown格式
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Args:
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symbol: 交易对符号
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strategy_result: 策略结果
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Returns:
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格式化后的Markdown文本
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"""
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try:
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if not strategy_result or 'error' in strategy_result:
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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')}"
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# 提取关键信息
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position = strategy_result.get('position', '未知')
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entry_points = strategy_result.get('entry_points', [])
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if isinstance(entry_points, list):
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entry_points_str = '、'.join([str(point) for point in entry_points])
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else:
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entry_points_str = str(entry_points)
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exit_points = strategy_result.get('exit_points', [])
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if isinstance(exit_points, list):
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exit_points_str = '、'.join([str(point) for point in exit_points])
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else:
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exit_points_str = str(exit_points)
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stop_loss = strategy_result.get('stop_loss', '未知')
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take_profit = strategy_result.get('take_profit', '未知')
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# 紧迫性评级
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urgency_level = strategy_result.get('urgency_level', 0)
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reasoning = strategy_result.get('reasoning', '无理由')
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# 根据建议仓位设置图标
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if '买' in position or 'buy' in str(position).lower():
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position_icon = "🟢"
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elif '卖' in position or 'sell' in str(position).lower():
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position_icon = "🔴"
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else:
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position_icon = "⚪"
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# 紧迫性等级图标
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if int(urgency_level) >= 4:
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urgency_icon = "🔴"
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elif int(urgency_level) >= 2:
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urgency_icon = "🟡"
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else:
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urgency_icon = "🟢"
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# 构建Markdown文本
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markdown = f"""### {symbol} 交易策略
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**建议操作**: {position_icon} {position}
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**入场点位**: {entry_points_str}
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**出场点位**: {exit_points_str}
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**止损位**: {stop_loss}
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**止盈位**: {take_profit}
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**操作紧迫性**: {urgency_icon} {urgency_level}/5
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**策略理由**:
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{reasoning}
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*策略生成时间: {time.strftime('%Y-%m-%d %H:%M:%S')}*
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"""
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return markdown
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except Exception as e:
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print(f"格式化策略结果时出错: {e}")
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traceback.print_exc()
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return f"### {symbol} 格式化策略结果出错\n\n{str(e)}"
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def format_integrated_report(self, symbol: str, analysis_result: Dict[str, Any]) -> str:
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"""
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格式化整合后的分析报告
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Args:
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symbol: 交易对符号
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analysis_result: 分析结果
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Returns:
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格式化后的文本
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"""
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try:
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if not analysis_result or 'error' in analysis_result:
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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')}"
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# 提取关键信息
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market_trend = analysis_result.get('market_trend', '未知')
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# 支撑位和阻力位的格式化
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def format_fibonacci_levels(levels):
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formatted_lines = []
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if isinstance(levels, list):
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for level in levels:
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if isinstance(level, dict) and 'level' in level and 'price' in level:
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formatted_lines.append(f"- {level['level']} 位: {level['price']}")
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else:
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formatted_lines.append(f"- {level}")
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elif isinstance(levels, dict):
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for level, price in levels.items():
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if level.replace('.', '', 1).isdigit(): # 检查是否是数字形式的级别
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formatted_lines.append(f"- {level} 位: {price}")
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else:
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formatted_lines.append(f"- {level}: {price}")
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else:
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formatted_lines.append(str(levels))
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return '\n'.join(formatted_lines)
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support_levels = analysis_result.get('support_levels', [])
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support_levels_str = format_fibonacci_levels(support_levels)
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resistance_levels = analysis_result.get('resistance_levels', [])
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resistance_levels_str = format_fibonacci_levels(resistance_levels)
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# 技术指标分析
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technical_analysis = analysis_result.get('technical_analysis', '未知')
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if isinstance(technical_analysis, (dict, list)):
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technical_analysis = self._format_complex_content(technical_analysis)
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# 交易量分析
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volume_analysis = analysis_result.get('volume_analysis', '未知')
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if isinstance(volume_analysis, (dict, list)):
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volume_analysis = self._format_complex_content(volume_analysis)
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# 操作建议
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recommendation = analysis_result.get('recommendation', '未知')
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entry_points = analysis_result.get('entry_points', [])
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if isinstance(entry_points, list):
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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) |