Sakurasan
b1f216b2a4
- 后端：腾讯 mkline 新增 /api/stock/history-minute（m1/m5/m15/m30/m60） - 新组件 kline-card.tsx：自包含周期/折线蜡烛/指标开关与K线数据加载， 切周期只重拉K线，不刷新页面其他模块 - 详情页瘦身为独立模块：K线图 / 今开最高最低昨收 / 每日行情明细互不耦合 - 时间统一按 UTC 解析传 Unix 秒，修复日线 invalid date/N/A 与分钟线时区问题 - 资金流向失败降级为非致命，不再导致整页报错 - vite 构建拆分 recharts/lightweight-charts/router 独立 chunk
359 lines
14 KiB
Python
359 lines
14 KiB
Python
"""腾讯财经 API 客户端"""
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import httpx
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import re
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from urllib.parse import quote
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from typing import Optional, List, Dict
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# 根据代码推断市场前缀（腾讯格式）
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def get_market_prefix(code: str) -> str:
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if code.startswith("688") or code.startswith("60"):
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return "sh"
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if code.startswith("920") or code.startswith("8") or code.startswith("4"):
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return "bj"
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return "sz"
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# 解码 \u 转义的 unicode 字符串
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def decode_unicode(s: str) -> str:
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try:
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return s.encode("utf-8").decode("unicode_escape")
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except Exception:
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return s
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# 解析腾讯报价文本格式（按 ~ 分隔）
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def parse_tencent_data(text: str):
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eq_idx = text.index('="')
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if eq_idx == -1:
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return None
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start = eq_idx + 2
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end = text.rindex('"')
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if end <= start:
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return None
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content = text[start:end]
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if not content:
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return None
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return content.split("~")
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async def search_stock(keyword: str) -> List[dict]:
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"""腾讯智能搜索：支持名称/代码/拼音模糊匹配"""
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url = f"https://smartbox.gtimg.cn/s3/?t=all&q={quote(keyword, safe='')}&v=2"
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
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"Referer": "https://stockapp.finance.qq.com/",
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}
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results = []
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async with httpx.AsyncClient() as client:
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try:
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resp = await client.get(url, headers=headers, timeout=10)
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if resp.status_code != 200:
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return results
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text = resp.text
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eq_idx = text.index('="')
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if eq_idx == -1:
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return results
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start = eq_idx + 2
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end = text.rindex('"')
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if end <= start:
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return results
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content = text[start:end]
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if not content or content == "N":
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return results
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records = content.split("^")
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for record in records:
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if not record:
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continue
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parts = record.split("~")
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if len(parts) < 5:
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continue
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market = parts[0]
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code = parts[1]
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name_raw = parts[2]
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typ = parts[4]
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is_sh_a = market == "sh" and (typ in ("GP-A", "GP-A-KCB"))
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is_sz_a = market == "sz" and (typ in ("GP-A", "GP-A-CYB"))
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is_bj_a = market == "bj" and (typ in ("GP-A", "GP-A-BJB"))
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if (is_sh_a or is_sz_a or is_bj_a) and re.match(r"^\d{6}$", code):
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name = decode_unicode(name_raw)
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if name:
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results.append({
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"code": code,
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"name": name,
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"market": market.upper(),
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"type": typ,
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})
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except Exception:
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pass
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return results
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async def lookup_by_quote(code: str) -> Optional[dict]:
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"""通过行情接口直接查询股票（用于搜索接口不支持的股票）"""
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market = get_market_prefix(code)
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stock_code = f"{market}{code}"
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url = f"https://qt.gtimg.cn/q={stock_code}"
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headers = {"User-Agent": "Mozilla/5.0"}
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async with httpx.AsyncClient() as client:
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try:
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resp = await client.get(url, headers=headers, timeout=10)
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if resp.status_code != 200:
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return None
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text = resp.content.decode("gbk", errors="replace")
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parts = parse_tencent_data(text)
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if not parts or len(parts) < 3:
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return None
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name = parts[1]
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current_price = float(parts[3]) if parts[3] else 0
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if not name or current_price == 0:
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return None
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return {
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"code": code,
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"name": name,
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"market": market.upper(),
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"type": get_board_type(code),
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}
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except Exception:
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return None
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def get_board_type(code: str) -> str:
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if code.startswith("688"):
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return "GP-A-KCB"
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if code.startswith("300") or code.startswith("301"):
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return "GP-A-CYB"
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if code.startswith("8") or code.startswith("4") or code.startswith("920"):
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return "GP-A-BJB"
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return "GP-A"
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async def fetch_quote(code: str) -> Optional[dict]:
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"""获取实时行情"""
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market = get_market_prefix(code)
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stock_code = f"{market}{code}"
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url = f"https://qt.gtimg.cn/q={stock_code}"
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headers = {"User-Agent": "Mozilla/5.0"}
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async with httpx.AsyncClient() as client:
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try:
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resp = await client.get(url, headers=headers, timeout=10)
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if resp.status_code != 200:
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return None
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text = resp.content.decode("gbk", errors="replace")
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parts = parse_tencent_data(text)
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if not parts or len(parts) < 47:
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return None
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# 字段索引：1=名称, 3=当前价, 4=昨收, 5=今开, 6=成交量(手)
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# 7=外盘, 8=内盘, 31=涨跌额, 32=涨跌幅%, 33=最高, 34=最低, 37=成交额(万)
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# 38=换手率%, 39=市盈率, 43=振幅%, 44=流通市值(亿), 45=总市值(亿), 46=市净率
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name = parts[1] or ""
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current_price = float(parts[3]) if parts[3] else 0
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yesterday_close = float(parts[4]) if parts[4] else 0
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today_open = float(parts[5]) if parts[5] else 0
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volume = float(parts[6]) if parts[6] else 0
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high = float(parts[33]) if parts[33] else 0
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low = float(parts[34]) if parts[34] else 0
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amount = float(parts[37]) if parts[37] else 0
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change_val = float(parts[31]) if parts[31] else 0
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change_pct = float(parts[32]) if parts[32] else 0
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outer_disk = float(parts[7]) if parts[7] else 0
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inner_disk = float(parts[8]) if parts[8] else 0
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turnover_rate = float(parts[38]) if parts[38] else 0 # 换手率%
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pe = float(parts[39]) if parts[39] else 0 # 市盈率
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# 腾讯API返回的市值单位是亿, formatMoney期望元, 需×1e8
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total_market_cap = float(parts[45]) * 1e8 if parts[45] else 0 # 总市值(亿→元)
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circulating_market_cap = float(parts[44]) * 1e8 if parts[44] else 0 # 流通市值(亿→元)
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pb = float(parts[46]) if parts[46] else 0 # 市净率
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if not name or current_price == 0:
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return None
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change = change_val if change_val != 0 else current_price - yesterday_close
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change_percent = change_pct if change_pct != 0 else (
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(current_price - yesterday_close) / yesterday_close * 100 if yesterday_close > 0 else 0
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)
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from datetime import datetime
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now = datetime.now()
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return {
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"code": code,
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"market": market.upper(),
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"name": name,
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"todayOpen": today_open,
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"yesterdayClose": yesterday_close,
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"currentPrice": current_price,
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"high": high,
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"low": low,
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"volume": volume * 100,
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"amount": amount,
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"outerDisk": outer_disk,
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"innerDisk": inner_disk,
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"date": now.strftime("%Y-%m-%d"),
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"time": now.strftime("%H:%M:%S"),
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"change": round(change, 2),
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"changePercent": round(change_percent, 2),
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"turnoverRate": round(turnover_rate, 2),
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"pe": round(pe, 2) if pe else 0,
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"pb": round(pb, 2) if pb else 0,
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"totalMarketCap": round(total_market_cap, 2),
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"circulatingMarketCap": round(circulating_market_cap, 2),
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}
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except Exception:
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return None
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async def fetch_history(code: str, days: int = 90) -> List[dict]:
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"""获取历史K线（前复权日K），含涨跌幅
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多请求1天以计算第一条的涨跌幅，最终只返回 days 条。
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"""
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market = get_market_prefix(code)
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stock_code = f"{market}{code}"
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url = f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get?param={stock_code},day,,,{days + 1},qfq"
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
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"Referer": "https://stockapp.finance.qq.com/",
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}
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async with httpx.AsyncClient() as client:
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try:
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resp = await client.get(url, headers=headers, timeout=10)
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if resp.status_code != 200:
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return []
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data = resp.json()
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stock_data = data.get("data", {}).get(stock_code, {})
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raw = stock_data.get("qfqday") or stock_data.get("day") or []
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if not isinstance(raw, list):
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return []
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result = []
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prev_close = 0
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for record in raw:
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if not isinstance(record, list) or len(record) < 6:
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continue
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close = float(record[2]) if record[2] else 0
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change_pct = 0
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if prev_close > 0:
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change_pct = (close - prev_close) / prev_close * 100
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result.append({
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"date": record[0],
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"open": float(record[1]) if record[1] else 0,
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"close": close,
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"high": float(record[3]) if record[3] else 0,
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"low": float(record[4]) if record[4] else 0,
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"volume": int(float(record[5])) if record[5] else 0,
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"changePercent": round(change_pct, 2),
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})
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prev_close = close
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# 丢弃最旧1条（它的 prev_close=0 导致涨跌幅为0），只保留最新 days 条
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if len(result) > 1:
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result = result[1:]
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if len(result) > days:
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result = result[-days:]
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return result
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except Exception:
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return []
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async def fetch_history_minute(code: str, period: str = "60", count: int = 320) -> List[dict]:
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"""获取分钟级 K 线（腾讯 mkline 接口）
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period: m1/m5/m15/m30/m60（60=小时线）
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返回格式与日K一致，date 为 'YYYY-MM-DD HH:MM'（北京时间）。
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"""
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market = get_market_prefix(code)
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stock_code = f"{market}{code}"
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# 腾讯 mkline：param=代码,周期,,数量
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url = f"https://ifzq.gtimg.cn/appstock/app/kline/mkline?param={stock_code},{period},,{count}"
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
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"Referer": "https://stockapp.finance.qq.com/",
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}
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async with httpx.AsyncClient() as client:
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try:
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resp = await client.get(url, headers=headers, timeout=10)
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if resp.status_code != 200:
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return []
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data = resp.json()
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stock_data = data.get("data", {}).get(stock_code, {})
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raw = stock_data.get(period) or []
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if not isinstance(raw, list):
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return []
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result = []
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prev_close = 0
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for record in raw:
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if not isinstance(record, list) or len(record) < 6:
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continue
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# record[0] = 'YYYYMMDDHHMM'，转成 'YYYY-MM-DD HH:MM'
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raw_dt = str(record[0])
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try:
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dt_str = f"{raw_dt[0:4]}-{raw_dt[4:6]}-{raw_dt[6:8]} {raw_dt[8:10]}:{raw_dt[10:12]}"
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except Exception:
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continue
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close = float(record[2]) if record[2] else 0
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change_pct = 0
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if prev_close > 0:
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change_pct = (close - prev_close) / prev_close * 100
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result.append({
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"date": dt_str,
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"open": float(record[1]) if record[1] else 0,
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"close": close,
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"high": float(record[3]) if record[3] else 0,
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"low": float(record[4]) if record[4] else 0,
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"volume": int(float(record[5])) if record[5] else 0,
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"changePercent": round(change_pct, 2),
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})
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prev_close = close
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# 丢弃最旧1条（prev_close=0 涨跌幅失真）
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if len(result) > 1:
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result = result[1:]
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return result
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except Exception:
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return []
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async def fetch_kline_map(code: str, days: int = 30) -> dict:
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"""获取K线数据并返回 { date: { close, changePercent, turnover } } 映射"""
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market = get_market_prefix(code)
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stock_code = f"{market}{code}"
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url = f"https://web.ifzq.gtimg.cn/appstock/app/fqkline/get?param={stock_code},day,,,{days + 30},qfq"
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
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"Referer": "https://stockapp.finance.qq.com/",
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}
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kline_map = {}
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async with httpx.AsyncClient() as client:
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try:
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resp = await client.get(url, headers=headers, timeout=10)
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if resp.status_code != 200:
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return kline_map
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data = resp.json()
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stock_data = data.get("data", {}).get(stock_code, {})
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raw = stock_data.get("qfqday") or stock_data.get("day") or []
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prev_close = 0
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for record in raw:
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if not isinstance(record, list) or len(record) < 6:
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continue
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try:
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date = record[0]
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close = float(record[2]) if record[2] else 0
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turnover = 0
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if len(record) > 6 and isinstance(record[6], (int, float, str)):
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try:
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turnover = float(record[6])
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except (ValueError, TypeError):
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turnover = 0
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change_pct = 0
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if prev_close > 0:
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change_pct = (close - prev_close) / prev_close * 100
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kline_map[date] = {"close": close, "changePercent": change_pct, "turnover": turnover}
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prev_close = close
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except Exception:
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continue
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except Exception:
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pass
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return kline_map
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