1035 lines
44 KiB
Python
1035 lines
44 KiB
Python
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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富途牛牛股票价格数据抓取工具
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功能：解析HTML页面提取股票价格、涨跌额、涨跌幅数据并保存到CSV文件
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作者: AI Stock Trading Assistant
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日期: 2024年
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"""
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import requests
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import re
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import csv
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import time
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import sys
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import argparse
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import json
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import urllib.parse
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from datetime import datetime
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from bs4 import BeautifulSoup
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from logging_setup import init_logging
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class EastMoneyAPI:
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"""东方财富API接口类，用于获取美股市值排行数据"""
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def __init__(self):
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self.base_url = "https://push2.eastmoney.com/api/qt/clist/get"
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self.headers = {
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'Accept': '*/*',
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'Accept-Language': 'zh-CN,zh;q=0.9',
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'Connection': 'keep-alive',
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'Referer': 'https://quote.eastmoney.com/center/gridlist.html',
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'Sec-Fetch-Dest': 'script',
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'Sec-Fetch-Mode': 'no-cors',
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'Sec-Fetch-Site': 'same-site',
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/141.0.0.0 Safari/537.36',
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'sec-ch-ua': '"Google Chrome";v="141", "Not?A_Brand";v="8", "Chromium";v="141"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"Windows"'
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}
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self.cookies = {
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'qgqp_b_id': '6762b4d1088a5df99fef2aaf99350ad6',
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'st_nvi': '5kjYZa9DBnsX5oWsYvA_Fe959',
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'nid': '0e17cb22ecf6960f4858bfd8cbdced17',
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'nid_create_time': '1756556375507',
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'gvi': 'l15-44w-TU820v6GOA4-re3ed',
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'gvi_create_time': '1756556375507',
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'websitepoptg_api_time': '1762206479838',
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'st_si': '15354362676602',
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'st_asi': 'delete',
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'fullscreengg': '1',
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'fullscreengg2': '1',
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'st_pvi': '72179808487060',
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'st_sp': '2025-08-30%2020%3A19%3A35',
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'st_inirUrl': 'https%3A%2F%2Femcreative.eastmoney.com%2Fapp_fortune%2Farticle%2Findex.html',
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'st_sn': '3',
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'st_psi': '20251104055541297-113200301321-2855469466'
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}
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def get_us_stocks_top50(self, page_size=50):
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"""获取美股市值前N名股票数据"""
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return self.get_us_stocks(page_size=page_size)
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def get_us_stocks(self, page_size=50, page_index=1):
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"""获取美股股票数据（支持分页）"""
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try:
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# 构建请求参数
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timestamp = int(time.time() * 1000)
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callback = f"jQuery37106960268121993591_{timestamp}"
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params = {
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'np': '1',
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'fltt': '1',
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'invt': '2',
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'cb': callback,
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'fs': 'm:105,m:106,m:107', # 美股市场代码
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'fields': 'f12,f13,f14,f1,f2,f4,f3,f152,f17,f28,f15,f16,f18,f20,f115',
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'fid': 'f20', # 按市值排序
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'pn': str(page_index),
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'pz': str(page_size),
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'po': '1',
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'dect': '1',
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'ut': 'fa5fd1943c7b386f172d6893dbfba10b',
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'wbp2u': '|0|0|0|web',
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'_': str(timestamp)
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}
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print(f"🌐 正在获取美股数据 (第{page_index}页, 每页{page_size}条)...")
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response = requests.get(
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self.base_url,
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params=params,
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headers=self.headers,
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cookies=self.cookies,
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timeout=30,
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verify=False # 跳过SSL证书校验
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)
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if response.status_code == 200:
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# 解析JSONP响应
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content = response.text
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print("[调试] 东方财富API返回内容:", content[:500]) # 打印前500字符，避免过长
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# 提取JSON部分
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if not content or '(' not in content or ')' not in content:
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print("❌ 返回内容异常，未包含有效JSONP")
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return [], 0
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start = content.find('(') + 1
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end = content.rfind(')')
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json_str = content[start:end]
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try:
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data = json.loads(json_str)
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except Exception as e:
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print(f"❌ JSON解析失败: {e}")
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return [], 0
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if data.get('rc') == 0 and 'data' in data:
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stocks = data['data'].get('diff', [])
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total = data['data'].get('total', 0)
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print(f"✅ 成功获取 {len(stocks)} 只股票数据 (总数: {total})")
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return stocks, total
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else:
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print(f"❌ 接口返回错误: {data}")
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return [], 0
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else:
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print(f"❌ 请求失败，状态码: {response.status_code}")
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print("[调试] 返回内容:", response.text[:500])
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return [], 0
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except Exception as e:
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print(f"❌ 获取数据失败: {e}")
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return [], 0
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def parse_stock_data(self, stock_item):
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"""解析单个股票数据，返回数值化字段
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约定：
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- 价格/涨跌额 等返回 float（货币数值）
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- 涨跌幅 change_ratio 返回小数（如 0.0402 表示 4.02%）
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"""
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try:
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def _to_float(x, default=0.0):
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if x in (None, '-', ''):
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return default
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try:
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return float(x)
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except Exception:
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return default
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def _normalize_ratio(v):
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"""将东财返回的涨跌幅统一转为小数。
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兼容两种可能：
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- v 为百分数值（如 4.02 表示 4.02%）
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- v 为基点/扩大100 的数值（如 402 表示 4.02%）
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"""
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fv = _to_float(v, 0.0)
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# 若绝对值大于100，优先认为是扩大100的百分数
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percent = fv / 100.0 if abs(fv) > 100 else fv
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return percent / 100.0
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symbol = stock_item.get('f12', '')
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name = stock_item.get('f14', '')
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current_price = _to_float(stock_item.get('f2', 0.0))
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# f4 通常为涨跌额
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change_amount = _to_float(stock_item.get('f4', 0.0))
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# f3 通常为涨跌幅（百分数值），统一转为小数
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change_ratio = _normalize_ratio(stock_item.get('f3', 0.0))
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market_cap = _to_float(stock_item.get('f20', 0.0))
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high_price = _to_float(stock_item.get('f15', 0.0))
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low_price = _to_float(stock_item.get('f16', 0.0))
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open_price = _to_float(stock_item.get('f17', 0.0))
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prev_close = _to_float(stock_item.get('f18', 0.0))
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# 交易所/货币简单填充（东财 US 列表）
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exchange = 'US'
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currency = 'USD'
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return {
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'symbol': symbol,
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'name': name,
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'current_price': current_price,
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'change_amount': change_amount,
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'change_ratio': change_ratio,
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'market_cap': market_cap,
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'high_price': high_price,
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'low_price': low_price,
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'open_price': open_price,
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'prev_close': prev_close,
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'exchange': exchange,
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'currency': currency,
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}
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except Exception as e:
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print(f"❌ 解析股票数据失败: {e}")
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return None
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def _format_price(self, price_value):
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"""返回价格的 float 数值（为保持接口名不变）。"""
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if price_value in (None, '-', ''):
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return 0.0
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try:
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return float(price_value)
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except Exception:
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return 0.0
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def _format_ratio(self, ratio_value):
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"""返回涨跌幅的小数（为保持接口名不变）。"""
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if ratio_value in (None, '-', ''):
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return 0.0
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try:
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rv = float(ratio_value)
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except Exception:
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return 0.0
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percent = rv / 100.0 if abs(rv) > 100 else rv
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return percent / 100.0
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class FutuStockParser:
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def __init__(self):
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"""初始化富途股票解析器"""
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self.cookies = {
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'cipher_device_id': '1757556073667578',
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'device_id': '1757556073667578',
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'_gcl_au': '1.1.1663570279.1758365279',
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'showWatch': '1',
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'invite_from': '10237865',
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'sensorsdata2015jssdkcross': '%7B%22distinct_id%22%3A%22ftv1PuOG%2BAdnk9zxdFTbZjIrOSbcir6XtNvwdxf2Y34zO%2FCriKNPyEOfzRH7jhboo2SL%22%2C%22first_id%22%3A%2219936818c19622-028fe866d247376-26061951-1024000-19936818c1b100%22%2C%22props%22%3A%7B%22%24latest_traffic_source_type%22%3A%22%E8%87%AA%E7%84%B6%E6%90%9C%E7%B4%A2%E6%B5%81%E9%87%8F%22%2C%22%24latest_search_keyword%22%3A%22%E6%9C%AA%E5%8F%96%E5%88%B0%E5%80%BC%22%2C%22%24latest_referrer%22%3A%22https%3A%2F%2Fwww.baidu.com%2Flink%22%7D%2C%22identities%22%3A%22eyIkaWRlbnRpdHlfY29va2llX2lkIjoiMTk5MzY4MThjMTk2MjItMDI4ZmU4NjZkMjQ3Mzc2LTI2MDYxOTUxLTEwMjQwMDAtMTk5MzY4MThjMWIxMDAiLCIkaWRlbnRpdHlfbG9naW5faWQiOiJmdHYxUHVPRytBZG5rOXp4ZEZUYlpqSXJPU2JjaXI2WHROdndkeGYyWTM0ek8vQ3JpS05QeUVPZnpSSDdqaGJvbzJTTCJ9%22%2C%22history_login_id%22%3A%7B%22name%22%3A%22%24identity_login_id%22%2C%22value%22%3A%22ftv1PuOG%2BAdnk9zxdFTbZjIrOSbcir6XtNvwdxf2Y34zO%2FCriKNPyEOfzRH7jhboo2SL%22%7D%7D',
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'futu-csrf': 'oiTa//eJsjCp/OY8h3KrAY8REws=',
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'locale': 'zh-cn',
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'csrfToken': 'VRY8_4JPRRdq5GEsxaC4wio5',
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'Hm_lvt_f3ecfeb354419b501942b6f9caf8d0db': '1760076566,1762203125',
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'HMACCOUNT': '98F1F80B74EBD3E2',
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'Hm_lpvt_f3ecfeb354419b501942b6f9caf8d0db': '1762203146',
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'locale.sig': 'ObiqV0BmZw7fEycdGJRoK-Q0Yeuop294gBeiHL1LqgQ',
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}
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self.headers = {
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'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
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'accept-language': 'zh-CN,zh;q=0.9',
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'cache-control': 'max-age=0',
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'priority': 'u=0, i',
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'referer': 'https://www.futunn.com/',
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'sec-ch-ua': '"Google Chrome";v="141", "Not?A_Brand";v="8", "Chromium";v="141"',
|
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'sec-ch-ua-mobile': '?0',
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|||
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'sec-ch-ua-platform': '"Windows"',
|
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'sec-fetch-dest': 'document',
|
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'sec-fetch-mode': 'navigate',
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'sec-fetch-site': 'same-origin',
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'sec-fetch-user': '?1',
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'upgrade-insecure-requests': '1',
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'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/141.0.0.0 Safari/537.36',
|
|||
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}
|
|||
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|
|||
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def fetch_stock_page(self, url):
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"""
|
|||
|
|
获取股票页面HTML内容
|
|||
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|
|||
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Args:
|
|||
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url (str): 股票页面URL
|
|||
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|
|||
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Returns:
|
|||
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str: HTML内容，失败返回None
|
|||
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"""
|
|||
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try:
|
|||
|
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response = requests.get(url, cookies=self.cookies, headers=self.headers, timeout=30)
|
|||
|
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response.raise_for_status()
|
|||
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return response.text
|
|||
|
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except requests.RequestException as e:
|
|||
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print(f"❌ 获取页面失败: {e}")
|
|||
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return None
|
|||
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|
|||
|
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def parse_javascript_data(self, html_content):
|
|||
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"""
|
|||
|
|
解析HTML中的JavaScript数据，提取window.__INITIAL_STATE__中的股票信息
|
|||
|
|
|
|||
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Args:
|
|||
|
|
html_content (str): HTML内容
|
|||
|
|
|
|||
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Returns:
|
|||
|
|
dict: 包含股票信息的字典，失败返回None
|
|||
|
|
"""
|
|||
|
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if not html_content:
|
|||
|
|
return None
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
# 查找包含window.__INITIAL_STATE__的script标签
|
|||
|
|
script_pattern = r'window\.__INITIAL_STATE__\s*=\s*({.*?});'
|
|||
|
|
match = re.search(script_pattern, html_content, re.DOTALL)
|
|||
|
|
|
|||
|
|
if not match:
|
|||
|
|
print("❌ 未找到window.__INITIAL_STATE__数据")
|
|||
|
|
return None
|
|||
|
|
|
|||
|
|
# 提取JSON字符串
|
|||
|
|
json_str = match.group(1)
|
|||
|
|
|
|||
|
|
# 解析JSON数据
|
|||
|
|
initial_state = json.loads(json_str)
|
|||
|
|
|
|||
|
|
# 提取stock_info
|
|||
|
|
stock_info = initial_state.get('stock_info')
|
|||
|
|
if not stock_info:
|
|||
|
|
print("❌ 未找到stock_info数据")
|
|||
|
|
return None
|
|||
|
|
|
|||
|
|
# 提取before_open_stock_info数据
|
|||
|
|
before_open_info = stock_info.get('before_open_stock_info', {})
|
|||
|
|
before_price = before_open_info.get('price')
|
|||
|
|
before_change = before_open_info.get('change')
|
|||
|
|
before_change_ratio = before_open_info.get('changeRatio')
|
|||
|
|
|
|||
|
|
# 提取data数据
|
|||
|
|
data_info = stock_info.get('data', {})
|
|||
|
|
current_price = data_info.get('price')
|
|||
|
|
current_change_ratio = data_info.get('changeRatio')
|
|||
|
|
|
|||
|
|
# 构建结果字典
|
|||
|
|
result = {
|
|||
|
|
'before_open_price': before_price,
|
|||
|
|
'before_open_change': before_change,
|
|||
|
|
'before_open_change_ratio': before_change_ratio,
|
|||
|
|
'current_price': current_price,
|
|||
|
|
'current_change_ratio': current_change_ratio,
|
|||
|
|
'timestamp': int(time.time()),
|
|||
|
|
'datetime': datetime.now().strftime('%Y-%m-%d %H:%M:%S')
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
return result
|
|||
|
|
|
|||
|
|
except json.JSONDecodeError as e:
|
|||
|
|
print(f"❌ JSON解析失败: {e}")
|
|||
|
|
return None
|
|||
|
|
except Exception as e:
|
|||
|
|
print(f"❌ 解析JavaScript数据失败: {e}")
|
|||
|
|
return None
|
|||
|
|
|
|||
|
|
def parse_price_data(self, html_content):
|
|||
|
|
"""
|
|||
|
|
解析HTML内容提取价格数据（包括盘后交易数据）
|
|||
|
|
|
|||
|
|
Args:
|
|||
|
|
html_content (str): HTML内容
|
|||
|
|
|
|||
|
|
Returns:
|
|||
|
|
dict: 包含价格、涨跌额、涨跌幅、盘后数据的字典
|
|||
|
|
"""
|
|||
|
|
if not html_content:
|
|||
|
|
return None
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
soup = BeautifulSoup(html_content, 'html.parser')
|
|||
|
|
|
|||
|
|
# 查找常规交易时间价格容器
|
|||
|
|
price_container = soup.find('ul', class_='flex-end price-current')
|
|||
|
|
if not price_container:
|
|||
|
|
print("❌ 未找到价格容器")
|
|||
|
|
return None
|
|||
|
|
|
|||
|
|
# 提取当前价格 (mg-r-8 price direct-up/down)
|
|||
|
|
price_element = price_container.find('li', class_=re.compile(r'mg-r-8 price'))
|
|||
|
|
current_price = None
|
|||
|
|
if price_element:
|
|||
|
|
price_text = price_element.get_text(strip=True)
|
|||
|
|
# 使用正则表达式提取数字
|
|||
|
|
price_match = re.search(r'[\d,]+\.?\d*', price_text)
|
|||
|
|
if price_match:
|
|||
|
|
current_price = price_match.group().replace(',', '')
|
|||
|
|
|
|||
|
|
# 提取涨跌信息
|
|||
|
|
change_element = price_container.find('li', class_=re.compile(r'change'))
|
|||
|
|
change_price = None
|
|||
|
|
change_ratio = None
|
|||
|
|
|
|||
|
|
if change_element:
|
|||
|
|
# 提取涨跌额 (change-price)
|
|||
|
|
change_price_span = change_element.find('span', class_='change-price')
|
|||
|
|
if change_price_span:
|
|||
|
|
change_price_text = change_price_span.get_text(strip=True)
|
|||
|
|
# 提取数字，保留正负号
|
|||
|
|
price_match = re.search(r'[+-]?[\d,]+\.?\d*', change_price_text)
|
|||
|
|
if price_match:
|
|||
|
|
change_price = price_match.group().replace(',', '')
|
|||
|
|
|
|||
|
|
# 提取涨跌幅 (mg-l-8 change-ratio)
|
|||
|
|
change_ratio_span = change_element.find('span', class_=re.compile(r'mg-l-8 change-ratio'))
|
|||
|
|
if change_ratio_span:
|
|||
|
|
change_ratio_text = change_ratio_span.get_text(strip=True)
|
|||
|
|
# 提取百分比
|
|||
|
|
ratio_match = re.search(r'[+-]?[\d,]+\.?\d*%', change_ratio_text)
|
|||
|
|
if ratio_match:
|
|||
|
|
change_ratio = ratio_match.group()
|
|||
|
|
|
|||
|
|
# 判断涨跌方向
|
|||
|
|
direction = "up" if "direct-up" in str(price_container) else "down" if "direct-down" in str(price_container) else "flat"
|
|||
|
|
|
|||
|
|
# 查找盘后交易数据
|
|||
|
|
after_hours_data = self._parse_after_hours_data(soup)
|
|||
|
|
|
|||
|
|
result = {
|
|||
|
|
'current_price': current_price,
|
|||
|
|
'change_price': change_price,
|
|||
|
|
'change_ratio': change_ratio,
|
|||
|
|
'direction': direction,
|
|||
|
|
'timestamp': int(time.time()),
|
|||
|
|
'datetime': datetime.now().strftime('%Y-%m-%d %H:%M:%S')
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
# 合并盘后数据
|
|||
|
|
if after_hours_data:
|
|||
|
|
result.update(after_hours_data)
|
|||
|
|
|
|||
|
|
return result
|
|||
|
|
|
|||
|
|
except Exception as e:
|
|||
|
|
print(f"❌ 解析HTML失败: {e}")
|
|||
|
|
return None
|
|||
|
|
|
|||
|
|
def _parse_after_hours_data(self, soup):
|
|||
|
|
"""
|
|||
|
|
解析盘后交易数据
|
|||
|
|
|
|||
|
|
Args:
|
|||
|
|
soup: BeautifulSoup对象
|
|||
|
|
|
|||
|
|
Returns:
|
|||
|
|
dict: 盘后交易数据
|
|||
|
|
"""
|
|||
|
|
after_hours_data = {
|
|||
|
|
'after_hours_price': None,
|
|||
|
|
'after_hours_change': None,
|
|||
|
|
'after_hours_ratio': None,
|
|||
|
|
'after_hours_direction': None,
|
|||
|
|
'after_hours_status': None
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
# 查找盘后信息容器
|
|||
|
|
disc_info = soup.find('div', class_='disc-info')
|
|||
|
|
if not disc_info:
|
|||
|
|
return after_hours_data
|
|||
|
|
|
|||
|
|
# 查找盘后价格容器
|
|||
|
|
after_price_container = disc_info.find('ul', class_='flex-end price-current')
|
|||
|
|
if not after_price_container:
|
|||
|
|
return after_hours_data
|
|||
|
|
|
|||
|
|
# 提取盘后价格 (mg-r-8 disc-price direct-down/up)
|
|||
|
|
after_price_element = after_price_container.find('li', class_=re.compile(r'mg-r-8 disc-price'))
|
|||
|
|
if after_price_element:
|
|||
|
|
after_price_text = after_price_element.get_text(strip=True)
|
|||
|
|
price_match = re.search(r'[\d,]+\.?\d*', after_price_text)
|
|||
|
|
if price_match:
|
|||
|
|
after_hours_data['after_hours_price'] = price_match.group().replace(',', '')
|
|||
|
|
|
|||
|
|
# 判断盘后涨跌方向
|
|||
|
|
if "direct-up" in after_price_element.get('class', []):
|
|||
|
|
after_hours_data['after_hours_direction'] = "up"
|
|||
|
|
elif "direct-down" in after_price_element.get('class', []):
|
|||
|
|
after_hours_data['after_hours_direction'] = "down"
|
|||
|
|
else:
|
|||
|
|
after_hours_data['after_hours_direction'] = "flat"
|
|||
|
|
|
|||
|
|
# 提取盘后涨跌信息
|
|||
|
|
after_change_element = after_price_container.find('li', class_=re.compile(r'direct-'))
|
|||
|
|
if after_change_element:
|
|||
|
|
# 提取盘后涨跌额和涨跌幅
|
|||
|
|
change_spans = after_change_element.find_all('span')
|
|||
|
|
if len(change_spans) >= 2:
|
|||
|
|
# 第一个span是涨跌额
|
|||
|
|
change_text = change_spans[0].get_text(strip=True)
|
|||
|
|
# 确保提取的是涨跌额，不是价格
|
|||
|
|
if change_text.startswith(('+', '-')):
|
|||
|
|
change_match = re.search(r'[+-]?[\d,]+\.?\d*', change_text)
|
|||
|
|
if change_match:
|
|||
|
|
after_hours_data['after_hours_change'] = change_match.group().replace(',', '')
|
|||
|
|
|
|||
|
|
# 第二个span是涨跌幅 (mg-l-8)
|
|||
|
|
ratio_span = change_spans[1]
|
|||
|
|
ratio_text = ratio_span.get_text(strip=True)
|
|||
|
|
ratio_match = re.search(r'[+-]?[\d,]+\.?\d*%', ratio_text)
|
|||
|
|
if ratio_match:
|
|||
|
|
after_hours_data['after_hours_ratio'] = ratio_match.group()
|
|||
|
|
elif len(change_spans) == 1:
|
|||
|
|
# 如果只有一个span，可能包含涨跌额和涨跌幅
|
|||
|
|
span_text = change_spans[0].get_text(strip=True)
|
|||
|
|
# 只有当文本以+/-开头时才是涨跌额
|
|||
|
|
if span_text.startswith(('+', '-')):
|
|||
|
|
# 尝试提取涨跌额
|
|||
|
|
change_match = re.search(r'[+-]?[\d,]+\.?\d*(?!%)', span_text)
|
|||
|
|
if change_match:
|
|||
|
|
after_hours_data['after_hours_change'] = change_match.group().replace(',', '')
|
|||
|
|
# 尝试提取涨跌幅
|
|||
|
|
ratio_match = re.search(r'[+-]?[\d,]+\.?\d*%', span_text)
|
|||
|
|
if ratio_match:
|
|||
|
|
after_hours_data['after_hours_ratio'] = ratio_match.group()
|
|||
|
|
else:
|
|||
|
|
# 如果没有span，直接从li元素中提取
|
|||
|
|
full_text = after_change_element.get_text(strip=True)
|
|||
|
|
# 提取涨跌额（必须以+/-开头）
|
|||
|
|
change_match = re.search(r'([+-][\d,]+\.?\d*)(?!\s*%)', full_text)
|
|||
|
|
if change_match:
|
|||
|
|
after_hours_data['after_hours_change'] = change_match.group(1).replace(',', '')
|
|||
|
|
# 提取涨跌幅（包含%的数字）
|
|||
|
|
ratio_match = re.search(r'([+-]?[\d,]+\.?\d*%)', full_text)
|
|||
|
|
if ratio_match:
|
|||
|
|
after_hours_data['after_hours_ratio'] = ratio_match.group(1)
|
|||
|
|
|
|||
|
|
# 提取盘后状态信息
|
|||
|
|
status_element = disc_info.find('div', class_='status')
|
|||
|
|
if status_element:
|
|||
|
|
after_hours_data['after_hours_status'] = status_element.get_text(strip=True)
|
|||
|
|
|
|||
|
|
except Exception as e:
|
|||
|
|
print(f"⚠️ 解析盘后数据失败: {e}")
|
|||
|
|
|
|||
|
|
return after_hours_data
|
|||
|
|
|
|||
|
|
def save_to_csv_js(self, data, filename=None):
|
|||
|
|
"""
|
|||
|
|
将JavaScript解析的数据保存到CSV文件
|
|||
|
|
|
|||
|
|
Args:
|
|||
|
|
data (dict): JavaScript解析的价格数据
|
|||
|
|
filename (str): 文件名，如果为None则自动生成
|
|||
|
|
"""
|
|||
|
|
if not data:
|
|||
|
|
print("❌ 没有数据可保存")
|
|||
|
|
return False
|
|||
|
|
|
|||
|
|
if filename is None:
|
|||
|
|
timestamp = int(time.time())
|
|||
|
|
filename = f"futu_{timestamp}.csv"
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
# 检查文件是否存在，决定是否写入表头
|
|||
|
|
file_exists = False
|
|||
|
|
try:
|
|||
|
|
with open(filename, 'r', encoding='utf-8-sig'):
|
|||
|
|
file_exists = True
|
|||
|
|
except FileNotFoundError:
|
|||
|
|
pass
|
|||
|
|
|
|||
|
|
with open(filename, 'a', newline='', encoding='utf-8-sig') as csvfile:
|
|||
|
|
fieldnames = ['timestamp', 'datetime', 'before_open_price', 'before_open_change',
|
|||
|
|
'before_open_change_ratio', 'current_price', 'current_change_ratio']
|
|||
|
|
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
|
|||
|
|
|
|||
|
|
# 如果文件不存在，写入表头
|
|||
|
|
if not file_exists:
|
|||
|
|
writer.writeheader()
|
|||
|
|
|
|||
|
|
writer.writerow(data)
|
|||
|
|
|
|||
|
|
print(f"✅ 数据已保存到: {filename}")
|
|||
|
|
return True
|
|||
|
|
|
|||
|
|
except Exception as e:
|
|||
|
|
print(f"❌ 保存CSV失败: {e}")
|
|||
|
|
return False
|
|||
|
|
|
|||
|
|
def save_to_csv(self, data, filename=None):
|
|||
|
|
"""
|
|||
|
|
将数据保存到CSV文件
|
|||
|
|
|
|||
|
|
Args:
|
|||
|
|
data (dict): 价格数据
|
|||
|
|
filename (str): 文件名，如果为None则自动生成
|
|||
|
|
"""
|
|||
|
|
if not data:
|
|||
|
|
print("❌ 没有数据可保存")
|
|||
|
|
return False
|
|||
|
|
|
|||
|
|
if filename is None:
|
|||
|
|
timestamp = int(time.time())
|
|||
|
|
filename = f"futu_{timestamp}.csv"
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
# 检查文件是否存在，决定是否写入表头
|
|||
|
|
file_exists = False
|
|||
|
|
try:
|
|||
|
|
with open(filename, 'r', encoding='utf-8-sig'):
|
|||
|
|
file_exists = True
|
|||
|
|
except FileNotFoundError:
|
|||
|
|
pass
|
|||
|
|
|
|||
|
|
with open(filename, 'a', newline='', encoding='utf-8-sig') as csvfile:
|
|||
|
|
fieldnames = ['timestamp', 'datetime', 'current_price', 'change_price', 'change_ratio', 'direction',
|
|||
|
|
'after_hours_price', 'after_hours_change', 'after_hours_ratio', 'after_hours_direction', 'after_hours_status']
|
|||
|
|
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
|
|||
|
|
|
|||
|
|
# 如果文件不存在，写入表头
|
|||
|
|
if not file_exists:
|
|||
|
|
writer.writeheader()
|
|||
|
|
|
|||
|
|
writer.writerow(data)
|
|||
|
|
|
|||
|
|
print(f"✅ 数据已保存到: {filename}")
|
|||
|
|
return True
|
|||
|
|
|
|||
|
|
except Exception as e:
|
|||
|
|
print(f"❌ 保存CSV失败: {e}")
|
|||
|
|
return False
|
|||
|
|
|
|||
|
|
def parse_from_html_string(self, html_string):
|
|||
|
|
"""
|
|||
|
|
从HTML字符串解析价格数据
|
|||
|
|
|
|||
|
|
Args:
|
|||
|
|
html_string (str): HTML字符串
|
|||
|
|
|
|||
|
|
Returns:
|
|||
|
|
dict: 解析结果
|
|||
|
|
"""
|
|||
|
|
return self.parse_price_data(html_string)
|
|||
|
|
|
|||
|
|
class StockDataIntegrator:
|
|||
|
|
"""股票数据整合器，结合东方财富和富途数据"""
|
|||
|
|
|
|||
|
|
def __init__(self):
|
|||
|
|
self.eastmoney_api = EastMoneyAPI()
|
|||
|
|
self.futu_parser = FutuStockParser()
|
|||
|
|
|
|||
|
|
def get_futu_stock_details(self, symbol):
|
|||
|
|
"""根据股票代码获取富途详细数据"""
|
|||
|
|
try:
|
|||
|
|
# 构建富途URL
|
|||
|
|
futu_url = f"https://www.futunn.com/stock/{symbol}-US"
|
|||
|
|
print(f"🔍 正在获取 {symbol} 的富途数据...")
|
|||
|
|
|
|||
|
|
html_content = self.futu_parser.fetch_stock_page(futu_url)
|
|||
|
|
if not html_content:
|
|||
|
|
print(f"❌ 无法获取 {symbol} 的富途页面")
|
|||
|
|
return None
|
|||
|
|
|
|||
|
|
# 尝试解析JavaScript数据
|
|||
|
|
js_data = self.futu_parser.parse_javascript_data(html_content)
|
|||
|
|
if js_data:
|
|||
|
|
return {
|
|||
|
|
'before_open_price': js_data.get('before_open_price', ''),
|
|||
|
|
'before_open_change': js_data.get('before_open_change', ''),
|
|||
|
|
'before_open_change_ratio': js_data.get('before_open_change_ratio', ''),
|
|||
|
|
'current_price': js_data.get('current_price', ''),
|
|||
|
|
'current_change_ratio': js_data.get('current_change_ratio', '')
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
# 如果JavaScript解析失败，尝试HTML解析
|
|||
|
|
html_data = self.futu_parser.parse_price_data(html_content)
|
|||
|
|
if html_data:
|
|||
|
|
return {
|
|||
|
|
'before_open_price': '',
|
|||
|
|
'before_open_change': '',
|
|||
|
|
'before_open_change_ratio': '',
|
|||
|
|
'current_price': html_data.get('current_price', ''),
|
|||
|
|
'current_change_ratio': html_data.get('change_ratio', '')
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
return None
|
|||
|
|
|
|||
|
|
except Exception as e:
|
|||
|
|
print(f"❌ 获取 {symbol} 富途数据失败: {e}")
|
|||
|
|
return None
|
|||
|
|
|
|||
|
|
def get_top50_integrated_data(self, limit=50, fetch_all=False):
|
|||
|
|
"""
|
|||
|
|
获取美股整合数据
|
|||
|
|
Args:
|
|||
|
|
limit: 限制数量
|
|||
|
|
fetch_all: 是否获取所有股票（忽略limit）
|
|||
|
|
"""
|
|||
|
|
if fetch_all:
|
|||
|
|
print("📊 开始获取所有美股整合数据...")
|
|||
|
|
# 获取第一页以确定总数
|
|||
|
|
_, total_count = self.eastmoney_api.get_us_stocks(page_size=1)
|
|||
|
|
limit = total_count
|
|||
|
|
print(f"📊 预计总数: {total_count}")
|
|||
|
|
else:
|
|||
|
|
print(f"📊 开始获取美股市值前{limit}名整合数据...")
|
|||
|
|
|
|||
|
|
# 东方财富一次最多获取约100条比较稳定，如果数量大需要分页
|
|||
|
|
# 这里为了简化，如果limit很大，我们分批获取
|
|||
|
|
|
|||
|
|
all_stocks = []
|
|||
|
|
page_size = 100
|
|||
|
|
total_pages = (limit + page_size - 1) // page_size
|
|||
|
|
|
|||
|
|
for page in range(1, total_pages + 1):
|
|||
|
|
current_limit = min(page_size, limit - (page-1)*page_size)
|
|||
|
|
if current_limit <= 0:
|
|||
|
|
break
|
|||
|
|
|
|||
|
|
stocks, _ = self.eastmoney_api.get_us_stocks(page_size=page_size, page_index=page)
|
|||
|
|
if not stocks:
|
|||
|
|
break
|
|||
|
|
all_stocks.extend(stocks)
|
|||
|
|
# 稍微延时防止封IP
|
|||
|
|
time.sleep(0.2)
|
|||
|
|
|
|||
|
|
if not all_stocks:
|
|||
|
|
print("❌ 无法获取东方财富数据")
|
|||
|
|
return []
|
|||
|
|
|
|||
|
|
# 截取需要的数量
|
|||
|
|
all_stocks = all_stocks[:limit]
|
|||
|
|
|
|||
|
|
integrated_data = []
|
|||
|
|
|
|||
|
|
print(f"📋 已获取 {len(all_stocks)} 条基础数据，开始处理详情...")
|
|||
|
|
|
|||
|
|
# 注意：如果要处理3000+股票，逐个请求富途会非常慢且容易被封
|
|||
|
|
# 建议：如果是全量抓取，仅使用东方财富数据；或者只对Top N进行富途详情抓取
|
|||
|
|
# 这里我们做一个策略：如果是全量抓取(>100)，则只抓取东方财富数据，除非特殊指定
|
|||
|
|
|
|||
|
|
skip_futu_details = len(all_stocks) > 100
|
|||
|
|
if skip_futu_details:
|
|||
|
|
print("⚠️ 股票数量较多，将跳过富途详情页抓取以提高速度...")
|
|||
|
|
|
|||
|
|
for i, stock_item in enumerate(all_stocks, 1):
|
|||
|
|
try:
|
|||
|
|
# 解析东方财富数据
|
|||
|
|
eastmoney_data = self.eastmoney_api.parse_stock_data(stock_item)
|
|||
|
|
if not eastmoney_data:
|
|||
|
|
continue
|
|||
|
|
|
|||
|
|
symbol = eastmoney_data['symbol']
|
|||
|
|
if not skip_futu_details:
|
|||
|
|
print(f"📈 处理第 {i}/{len(all_stocks)}: {symbol} - {eastmoney_data['name']}")
|
|||
|
|
elif i % 100 == 0:
|
|||
|
|
print(f"📈 处理进度 {i}/{len(all_stocks)}...")
|
|||
|
|
|
|||
|
|
# 整合数据
|
|||
|
|
integrated_item = {
|
|||
|
|
'rank': i,
|
|||
|
|
'symbol': symbol,
|
|||
|
|
'name': eastmoney_data['name'],
|
|||
|
|
'eastmoney_price': eastmoney_data['current_price'],
|
|||
|
|
'eastmoney_change': eastmoney_data['change_amount'],
|
|||
|
|
'eastmoney_change_ratio': eastmoney_data['change_ratio'],
|
|||
|
|
'market_cap': eastmoney_data['market_cap'],
|
|||
|
|
'high_price': eastmoney_data['high_price'],
|
|||
|
|
'low_price': eastmoney_data['low_price'],
|
|||
|
|
'open_price': eastmoney_data['open_price'],
|
|||
|
|
'prev_close': eastmoney_data['prev_close'],
|
|||
|
|
'timestamp': int(time.time()),
|
|||
|
|
'datetime': datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
|
|||
|
|
# 默认空值
|
|||
|
|
'futu_before_open_price': '',
|
|||
|
|
'futu_before_open_change': '',
|
|||
|
|
'futu_before_open_change_ratio': '',
|
|||
|
|
'futu_current_price': '',
|
|||
|
|
'futu_current_change_ratio': ''
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
# 获取富途数据（仅在数量较少时）
|
|||
|
|
if not skip_futu_details:
|
|||
|
|
futu_data = self.get_futu_stock_details(symbol)
|
|||
|
|
if futu_data:
|
|||
|
|
integrated_item.update({
|
|||
|
|
'futu_before_open_price': futu_data['before_open_price'],
|
|||
|
|
'futu_before_open_change': futu_data['before_open_change'],
|
|||
|
|
'futu_before_open_change_ratio': futu_data['before_open_change_ratio'],
|
|||
|
|
'futu_current_price': futu_data['current_price'],
|
|||
|
|
'futu_current_change_ratio': futu_data['current_change_ratio']
|
|||
|
|
})
|
|||
|
|
# 添加延迟
|
|||
|
|
time.sleep(0.5)
|
|||
|
|
|
|||
|
|
integrated_data.append(integrated_item)
|
|||
|
|
|
|||
|
|
except Exception as e:
|
|||
|
|
print(f"❌ 处理股票 {i} 失败: {e}")
|
|||
|
|
continue
|
|||
|
|
|
|||
|
|
print(f"✅ 成功整合 {len(integrated_data)} 只股票数据")
|
|||
|
|
return integrated_data
|
|||
|
|
|
|||
|
|
def save_to_csv(self, integrated_data, filename=None):
|
|||
|
|
"""保存整合数据到CSV文件"""
|
|||
|
|
if not integrated_data:
|
|||
|
|
print("❌ 没有数据可保存")
|
|||
|
|
return
|
|||
|
|
|
|||
|
|
if not filename:
|
|||
|
|
timestamp = int(time.time())
|
|||
|
|
filename = f"futu_{timestamp}.csv"
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
with open(filename, 'w', newline='', encoding='utf-8') as csvfile:
|
|||
|
|
fieldnames = [
|
|||
|
|
'rank', 'symbol', 'name', 'timestamp', 'datetime',
|
|||
|
|
'eastmoney_price', 'eastmoney_change', 'eastmoney_change_ratio',
|
|||
|
|
'market_cap', 'high_price', 'low_price', 'open_price', 'prev_close',
|
|||
|
|
'futu_before_open_price', 'futu_before_open_change', 'futu_before_open_change_ratio',
|
|||
|
|
'futu_current_price', 'futu_current_change_ratio'
|
|||
|
|
]
|
|||
|
|
|
|||
|
|
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
|
|||
|
|
writer.writeheader()
|
|||
|
|
|
|||
|
|
for item in integrated_data:
|
|||
|
|
writer.writerow(item)
|
|||
|
|
|
|||
|
|
print(f"✅ 数据已保存到: {filename}")
|
|||
|
|
|
|||
|
|
except Exception as e:
|
|||
|
|
print(f"❌ 保存CSV文件失败: {e}")
|
|||
|
|
|
|||
|
|
|
|||
|
|
def main():
|
|||
|
|
"""主函数"""
|
|||
|
|
# 初始化日志
|
|||
|
|
init_logging()
|
|||
|
|
parser = argparse.ArgumentParser(description='富途牛牛股票价格数据抓取工具')
|
|||
|
|
parser.add_argument('--url', '-u', help='股票页面URL')
|
|||
|
|
parser.add_argument('--html', '-f', help='本地HTML文件路径')
|
|||
|
|
parser.add_argument('--output', '-o', help='输出CSV文件名')
|
|||
|
|
parser.add_argument('--test', '-t', action='store_true', help='使用示例HTML测试')
|
|||
|
|
parser.add_argument('--js', '-j', action='store_true', help='解析JavaScript数据（window.__INITIAL_STATE__）')
|
|||
|
|
parser.add_argument('--top50', action='store_true', help='获取美股市值前N名数据（整合东方财富和富途数据）')
|
|||
|
|
parser.add_argument('--all', action='store_true', help='获取所有美股数据（注意：数量巨大，默认跳过富途详情）')
|
|||
|
|
parser.add_argument('--limit', type=int, default=50, help='指定获取股票的数量，默认为50')
|
|||
|
|
parser.add_argument('--eastmoney-only', action='store_true', help='仅使用东方财富数据，不获取富途数据')
|
|||
|
|
|
|||
|
|
args = parser.parse_args()
|
|||
|
|
|
|||
|
|
# 如果使用top50模式 或 all模式
|
|||
|
|
if args.top50 or args.all:
|
|||
|
|
limit = args.limit
|
|||
|
|
if args.all:
|
|||
|
|
print("🚀 启动全量美股数据获取模式...")
|
|||
|
|
else:
|
|||
|
|
print(f"🚀 启动美股市值前{limit}名数据获取模式...")
|
|||
|
|
|
|||
|
|
integrator = StockDataIntegrator()
|
|||
|
|
|
|||
|
|
if args.eastmoney_only:
|
|||
|
|
print("📊 仅获取东方财富数据...")
|
|||
|
|
eastmoney_api = EastMoneyAPI()
|
|||
|
|
|
|||
|
|
if args.all:
|
|||
|
|
# 获取所有
|
|||
|
|
_, total = eastmoney_api.get_us_stocks(page_size=1)
|
|||
|
|
limit = total
|
|||
|
|
print(f"📊 准备获取全部 {total} 只股票...")
|
|||
|
|
|
|||
|
|
# 分页获取
|
|||
|
|
all_stocks = []
|
|||
|
|
page_size = 100
|
|||
|
|
total_pages = (limit + page_size - 1) // page_size
|
|||
|
|
|
|||
|
|
for page in range(1, total_pages + 1):
|
|||
|
|
current_limit = min(page_size, limit - (page-1)*page_size)
|
|||
|
|
if current_limit <= 0: break
|
|||
|
|
|
|||
|
|
stocks, _ = eastmoney_api.get_us_stocks(page_size=page_size, page_index=page)
|
|||
|
|
if stocks:
|
|||
|
|
all_stocks.extend(stocks)
|
|||
|
|
print(f"📥 已获取 {len(all_stocks)}/{limit}...")
|
|||
|
|
time.sleep(0.2)
|
|||
|
|
|
|||
|
|
if all_stocks:
|
|||
|
|
integrated_data = []
|
|||
|
|
for i, stock_item in enumerate(all_stocks, 1):
|
|||
|
|
eastmoney_data = eastmoney_api.parse_stock_data(stock_item)
|
|||
|
|
if eastmoney_data:
|
|||
|
|
item = {
|
|||
|
|
'rank': i,
|
|||
|
|
'symbol': eastmoney_data['symbol'],
|
|||
|
|
'name': eastmoney_data['name'],
|
|||
|
|
'eastmoney_price': eastmoney_data['current_price'],
|
|||
|
|
'eastmoney_change': eastmoney_data['change_amount'],
|
|||
|
|
'eastmoney_change_ratio': eastmoney_data['change_ratio'],
|
|||
|
|
'market_cap': eastmoney_data['market_cap'],
|
|||
|
|
'high_price': eastmoney_data['high_price'],
|
|||
|
|
'low_price': eastmoney_data['low_price'],
|
|||
|
|
'open_price': eastmoney_data['open_price'],
|
|||
|
|
'prev_close': eastmoney_data['prev_close'],
|
|||
|
|
'timestamp': int(time.time()),
|
|||
|
|
'datetime': datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
|
|||
|
|
'futu_before_open_price': '',
|
|||
|
|
'futu_before_open_change': '',
|
|||
|
|
'futu_before_open_change_ratio': '',
|
|||
|
|
'futu_current_price': '',
|
|||
|
|
'futu_current_change_ratio': ''
|
|||
|
|
}
|
|||
|
|
integrated_data.append(item)
|
|||
|
|
|
|||
|
|
# 保存数据
|
|||
|
|
output_file = args.output if args.output else None
|
|||
|
|
integrator.save_to_csv(integrated_data, output_file)
|
|||
|
|
else:
|
|||
|
|
print("❌ 无法获取东方财富数据")
|
|||
|
|
else:
|
|||
|
|
# 获取整合数据
|
|||
|
|
integrated_data = integrator.get_top50_integrated_data(limit, fetch_all=args.all)
|
|||
|
|
if integrated_data:
|
|||
|
|
output_file = args.output if args.output else None
|
|||
|
|
integrator.save_to_csv(integrated_data, output_file)
|
|||
|
|
else:
|
|||
|
|
print("❌ 无法获取整合数据")
|
|||
|
|
|
|||
|
|
return
|
|||
|
|
|
|||
|
|
# 原有的单股票模式
|
|||
|
|
# 创建解析器实例
|
|||
|
|
futu_parser = FutuStockParser()
|
|||
|
|
|
|||
|
|
html_content = None
|
|||
|
|
|
|||
|
|
if args.test:
|
|||
|
|
if args.js:
|
|||
|
|
# 使用示例JavaScript数据进行测试
|
|||
|
|
test_html = '''
|
|||
|
|
<script>
|
|||
|
|
window.__INITIAL_STATE__ = {
|
|||
|
|
"stock_info": {
|
|||
|
|
"before_open_stock_info": {
|
|||
|
|
"price": "253.560",
|
|||
|
|
"change": "-0.471",
|
|||
|
|
"changeRatio": "-0.19%"
|
|||
|
|
},
|
|||
|
|
"data": {
|
|||
|
|
"price": "254.031",
|
|||
|
|
"changeRatio": "+4.02%"
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
};
|
|||
|
|
</script>
|
|||
|
|
'''
|
|||
|
|
html_content = test_html
|
|||
|
|
print("🧪 使用示例JavaScript数据进行测试...")
|
|||
|
|
else:
|
|||
|
|
# 使用示例HTML进行测试（包含盘后数据）
|
|||
|
|
test_html = '''
|
|||
|
|
<ul class="flex-end price-current" data-v-6afeb239>
|
|||
|
|
<li class="mg-r-8 price direct-up" data-v-6afeb239>
|
|||
|
|
253.740
|
|||
|
|
<i class="icon-direct-status icon-direct-up" data-v-6afeb239></i>
|
|||
|
|
</li>
|
|||
|
|
<li class="change direct-up" data-v-6afeb239>
|
|||
|
|
<span class="change-price" data-v-6afeb239>+9.520</span>
|
|||
|
|
<span class="mg-l-8 change-ratio" data-v-6afeb239>+3.90%</span>
|
|||
|
|
</li>
|
|||
|
|
</ul>
|
|||
|
|
<div class="disc-info" data-v-6afeb239>
|
|||
|
|
<ul class="flex-end price-current" data-v-6afeb239>
|
|||
|
|
<li class="mg-r-8 disc-price direct-down" data-v-6afeb239>253.516</li>
|
|||
|
|
<li class="direct-down" data-v-6afeb239>
|
|||
|
|
<span data-v-6afeb239>-0.515</span>
|
|||
|
|
<span class="mg-l-8" data-v-6afeb239>-0.20%</span>
|
|||
|
|
</li>
|
|||
|
|
</ul>
|
|||
|
|
<div class="status" data-v-6afeb239>盘后 16:14 (美东)</div>
|
|||
|
|
</div>
|
|||
|
|
'''
|
|||
|
|
html_content = test_html
|
|||
|
|
print("🧪 使用示例HTML进行测试（包含盘后数据）...")
|
|||
|
|
|
|||
|
|
elif args.html:
|
|||
|
|
# 从本地HTML文件读取
|
|||
|
|
try:
|
|||
|
|
with open(args.html, 'r', encoding='utf-8') as f:
|
|||
|
|
html_content = f.read()
|
|||
|
|
print(f"📁 从本地文件读取: {args.html}")
|
|||
|
|
except Exception as e:
|
|||
|
|
print(f"❌ 读取本地文件失败: {e}")
|
|||
|
|
return
|
|||
|
|
|
|||
|
|
elif args.url:
|
|||
|
|
# 从URL获取
|
|||
|
|
print(f"🌐 正在获取页面: {args.url}")
|
|||
|
|
html_content = futu_parser.fetch_stock_page(args.url)
|
|||
|
|
|
|||
|
|
else:
|
|||
|
|
# 默认使用原有的AMZN URL
|
|||
|
|
default_url = 'https://www.futunn.com/stock/AMZN-US?global_content=%7B%22promote_id%22%3A13766,%22sub_promote_id%22%3A36,%22invite%22%3A%2210237865%22,%22promote_content%22%3A%22nn%3Afeed%3A115061320123972%22,%22f%22%3A%22q.futunn.com%2Ffeed%2F115061320123972%22%7D&chain_id=KcFts02dZGw_d-.1kgi5g0'
|
|||
|
|
print(f"🌐 使用默认URL获取AMZN股票数据...")
|
|||
|
|
html_content = futu_parser.fetch_stock_page(default_url)
|
|||
|
|
|
|||
|
|
if not html_content:
|
|||
|
|
print("❌ 无法获取HTML内容")
|
|||
|
|
return
|
|||
|
|
|
|||
|
|
# 根据参数选择解析方式
|
|||
|
|
if args.js:
|
|||
|
|
# 解析JavaScript数据
|
|||
|
|
print("🔍 正在解析JavaScript数据...")
|
|||
|
|
js_data = futu_parser.parse_javascript_data(html_content)
|
|||
|
|
|
|||
|
|
if js_data:
|
|||
|
|
print("\n📊 JavaScript解析结果:")
|
|||
|
|
print(f"盘前价格: {js_data['before_open_price']}")
|
|||
|
|
print(f"盘前涨跌额: {js_data['before_open_change']}")
|
|||
|
|
print(f"盘前涨跌幅: {js_data['before_open_change_ratio']}")
|
|||
|
|
print(f"当前价格: {js_data['current_price']}")
|
|||
|
|
print(f"当前涨跌幅: {js_data['current_change_ratio']}")
|
|||
|
|
print(f"时间: {js_data['datetime']}")
|
|||
|
|
|
|||
|
|
# 保存到CSV，使用Unix时间戳命名
|
|||
|
|
if args.output:
|
|||
|
|
output_file = args.output
|
|||
|
|
else:
|
|||
|
|
timestamp = int(time.time())
|
|||
|
|
output_file = f"futu_{timestamp}.csv"
|
|||
|
|
|
|||
|
|
futu_parser.save_to_csv_js(js_data, output_file)
|
|||
|
|
|
|||
|
|
else:
|
|||
|
|
print("❌ JavaScript数据解析失败")
|
|||
|
|
else:
|
|||
|
|
# 解析HTML价格数据
|
|||
|
|
print("🔍 正在解析HTML价格数据...")
|
|||
|
|
price_data = futu_parser.parse_price_data(html_content)
|
|||
|
|
|
|||
|
|
if price_data:
|
|||
|
|
print("\n📊 HTML解析结果:")
|
|||
|
|
print(f"当前价格: {price_data['current_price']}")
|
|||
|
|
print(f"涨跌额: {price_data['change_price']}")
|
|||
|
|
print(f"涨跌幅: {price_data['change_ratio']}")
|
|||
|
|
print(f"方向: {price_data['direction']}")
|
|||
|
|
print(f"时间: {price_data['datetime']}")
|
|||
|
|
|
|||
|
|
# 显示盘后数据（如果存在）
|
|||
|
|
if price_data.get('after_hours_price'):
|
|||
|
|
print("\n🌙 盘后交易数据:")
|
|||
|
|
print(f"盘后价格: {price_data['after_hours_price']}")
|
|||
|
|
print(f"盘后涨跌额: {price_data['after_hours_change']}")
|
|||
|
|
print(f"盘后涨跌幅: {price_data['after_hours_ratio']}")
|
|||
|
|
print(f"盘后方向: {price_data['after_hours_direction']}")
|
|||
|
|
print(f"盘后状态: {price_data['after_hours_status']}")
|
|||
|
|
|
|||
|
|
# 保存到CSV
|
|||
|
|
output_file = args.output if args.output else None
|
|||
|
|
futu_parser.save_to_csv(price_data, output_file)
|
|||
|
|
|
|||
|
|
else:
|
|||
|
|
print("❌ HTML数据解析失败，未能提取到价格数据")
|
|||
|
|
|
|||
|
|
if __name__ == "__main__":
|
|||
|
|
main()
|