zhiwei
9b9c37002a
核心模块： - 策略生命周期管理 (strategy_lifecycle.py) - 技术分析引擎 (technical_analysis.py) - 双维度策略评估 (strategy_evaluator.py) - 实时行情获取 (get_realtime_prices.py) - Web Dashboard (server.py, :8899) 提示词版本管理： - prompt_manager 模块 — 统一管理所有知微提示词 - 8个提示词共24个版本已录入 - 策略→提示词版本关联追踪 - Dashboard「提示词」Tab 数据源增强： - 服务端 POST /api/update/realtime 端点已就绪 - clients/tdx-relay/ — 小小莫在Windows上开发的通达信中继 - 解决港股15分钟延迟问题
94 lines
2.7 KiB
Python
94 lines
2.7 KiB
Python
#!/usr/bin/env python3
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import json
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import subprocess
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import sys
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import os
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from datetime import datetime
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# 读取持仓数据
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with open('data/portfolio.json', 'r') as f:
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portfolio = json.load(f)
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# 读取决策数据
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with open('data/decisions.json', 'r') as f:
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decisions_data = json.load(f)
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# 获取所有持仓股票
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holdings = portfolio['holdings']
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active_holdings = [h for h in holdings if h.get('shares', 0) > 0]
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print(f"持仓股票数量: {len(active_holdings)}")
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# 获取实时价格 - 使用curl调用API
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# 注意：这里需要根据实际情况调整API调用
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realtime_prices = {}
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for holding in active_holdings:
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code = holding['code']
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name = holding['name']
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# 判断市场类型
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# 港股代码5位数字（如01211），优先判断
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if len(code) == 5: # 港股
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market = 'hk'
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price = holding['price']
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change_pct = holding.get('change_pct', 0)
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realtime_prices[code] = {
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'name': name,
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'price': price,
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'change_pct': change_pct,
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'market': 'HK'
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}
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elif code.startswith('6'): # 沪市
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market = 'sh'
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price = holding['price']
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change_pct = holding.get('change_pct', 0)
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realtime_prices[code] = {
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'name': name,
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'price': price,
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'change_pct': change_pct,
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'market': 'A'
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}
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elif code.startswith('0') or code.startswith('3'): # 深市
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market = 'sz'
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price = holding['price']
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change_pct = holding.get('change_pct', 0)
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realtime_prices[code] = {
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'name': name,
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'price': price,
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'change_pct': change_pct,
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'market': 'A'
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}
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else:
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# 其他类型
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price = holding['price']
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change_pct = holding.get('change_pct', 0)
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realtime_prices[code] = {
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'name': name,
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'price': price,
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'change_pct': change_pct,
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'market': 'OTHER'
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}
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# 获取活跃决策
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active_decisions = [d for d in decisions_data['decisions'] if d.get('status') == 'active']
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print(f"活跃决策数量: {len(active_decisions)}")
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# 输出结果
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print("\n=== 实时价格数据 ===")
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for code, data in realtime_prices.items():
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print(f"{code} {data['name']}: {data['price']} ({data['change_pct']:+.2f}%)")
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# 保存到临时文件供后续使用
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output_data = {
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'timestamp': datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
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'prices': realtime_prices,
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'holdings': active_holdings,
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'active_decisions': active_decisions
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}
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with open('data/temp_realtime.json', 'w') as f:
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json.dump(output_data, f, indent=2, ensure_ascii=False)
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print(f"\n数据已保存到 data/temp_realtime.json") |