1039 lines
36 KiB
Python
1039 lines
36 KiB
Python
"""东方财富 API 客户端（资金流向数据）"""
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import asyncio
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import time
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import httpx
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import json
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import os
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import re
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from datetime import datetime, time as dtime, timedelta, timezone
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from typing import Optional, List
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from services.cache import get_cache, set_cache
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from services.cache import get_cache, set_cache
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# ---- API Key 轮询（MX 备选源用）----
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_api_keys: List[str] = []
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_key_index: int = -1
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def _load_api_keys() -> List[str]:
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"""收集所有可用 MX API key（支持逗号分隔和 MX_APIKEY_1 编号后缀）"""
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keys: List[str] = []
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seen: set = set()
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def add(k: str):
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k = k.strip()
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if k and k not in seen:
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seen.add(k)
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keys.append(k)
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raw = os.environ.get("MX_APIKEY", "")
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if raw:
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for k in raw.split(","):
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add(k)
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for i in range(1, 10):
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raw = os.environ.get(f"MX_APIKEY_{i}", "")
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if raw:
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for k in raw.split(","):
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add(k)
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return keys
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def _ensure_keys() -> bool:
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global _api_keys, _key_index
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if not _api_keys:
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_api_keys = _load_api_keys()
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if _key_index == -1:
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val = get_cache("_mx_key_index")
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_key_index = int(val) if val else 0
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return bool(_api_keys)
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def _get_key() -> str:
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"""获取当前使用的 API key"""
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if not _ensure_keys():
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return ""
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return _api_keys[_key_index % len(_api_keys)]
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def _rotate_key():
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"""切换到下一个 key 并持久化当前索引"""
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global _key_index
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_key_index += 1
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set_cache("_mx_key_index", str(_key_index), ttl_hours=24)
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def parse_amount(text) -> float:
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"""解析金额文本（支持 1.432亿元, -9915万元, 0元）"""
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if isinstance(text, (int, float)):
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return float(text)
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if not text or not isinstance(text, str):
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return 0
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text = text.strip()
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if not text:
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return 0
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sign = -1 if text.startswith("-") else 1
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clean = text.lstrip("+-").strip()
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m = re.match(r"^([\d.]+)\s*(亿|万|元)?$", clean)
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if not m:
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return 0
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value = float(m.group(1)) if m.group(1) else 0
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unit = m.group(2) or "元"
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if unit == "亿":
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return sign * value * 100000000
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elif unit == "万":
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return sign * value * 10000
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return sign * value
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# ---- MX API（备选源）----
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async def _call_mx_api(api_key: str, name: str, days: int) -> Optional[dict]:
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"""执行一次 MX API 调用，返回原始 JSON"""
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url = "https://mkapi2.dfcfs.com/finskillshub/api/claw/query"
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payload = {"toolQuery": f"{name}最近{days}天主力资金流向和成交额"}
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async with httpx.AsyncClient() as client:
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try:
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resp = await client.post(
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url,
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json=payload,
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headers={
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"Content-Type": "application/json",
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"apikey": api_key,
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},
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timeout=15,
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)
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if resp.status_code != 200:
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return None
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return resp.json()
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except Exception as e:
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print(f"[eastmoney] MX API error: {e}")
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return None
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def _parse_mx_response(result: dict) -> Optional[List[dict]]:
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"""解析 MX API 返回，提取资金流向数据列表"""
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if result.get("status") != 0:
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return None
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dto_list = result.get("data", {}).get("data", {}).get("searchDataResultDTO", {}).get("dataTableDTOList", [])
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if not dto_list:
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return None
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dto = dto_list[0]
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name_map = dto.get("nameMap", {})
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raw_table = dto.get("rawTable", {})
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table = dto.get("table", {})
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dates = table.get("headName", [])
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if not dates:
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return None
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name_to_id = {}
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for kid, v in name_map.items():
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if isinstance(v, str):
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name_to_id[v] = kid
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main_net_col = name_to_id.get("(区间)主力净流入资金")
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amount_col = name_to_id.get("区间成交额")
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data_list = []
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for i, date_str in enumerate(dates):
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date_str = str(date_str).strip()
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m1 = re.match(r"^(\d{4})[/-](\d{1,2})[/-](\d{1,2})", date_str)
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if m1:
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date_str = f"{m1.group(1)}-{int(m1.group(2)):02d}-{int(m1.group(3)):02d}"
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else:
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m2 = re.match(r"^(\d{1,2})[/-](\d{1,2})", date_str)
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if m2:
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year = datetime.now().year
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date_str = f"{year}-{int(m2.group(1)):02d}-{int(m2.group(2)):02d}"
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else:
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continue
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main_net = 0
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if main_net_col and raw_table.get(main_net_col) and i < len(raw_table[main_net_col]):
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main_net = parse_amount(raw_table[main_net_col][i])
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amount = 0
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if amount_col and raw_table.get(amount_col) and i < len(raw_table[amount_col]):
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amount = parse_amount(raw_table[amount_col][i])
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data_list.append({"date": date_str, "mainNetInflow": main_net, "amount": amount})
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return data_list
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async def fetch_mx_api(name: str, days: int) -> Optional[List[dict]]:
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"""调用东方财富妙想MX API获取资金流向（缓存6小时，多key轮询）"""
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cache_key = f"mx_fund_flow:{name}:{days}"
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cached = get_cache(cache_key)
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if cached is not None:
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return json.loads(cached)
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if not _ensure_keys():
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return None
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for attempt in range(len(_api_keys)):
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key = _get_key()
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result = await _call_mx_api(key, name, days)
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if result is None:
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_rotate_key()
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continue
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status = result.get("status", -1)
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if status == 113:
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print(f"[eastmoney] key {_key_index % len(_api_keys)} 已达每日上限，切换到下一个")
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_rotate_key()
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continue
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if status == 114:
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print(f"[eastmoney] key {_key_index % len(_api_keys)} 无效(114)，跳过")
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_rotate_key()
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continue
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if status != 0:
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_rotate_key()
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continue
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data_list = _parse_mx_response(result)
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if data_list:
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set_cache(cache_key, json.dumps(data_list, ensure_ascii=False))
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return data_list
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print(f"[eastmoney] 所有 {len(_api_keys)} 个 MX API key 均已耗尽")
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return None
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def get_eastmoney_market(code: str) -> str:
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"""获取东方财富格式的市场标识"""
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if code.startswith("688"):
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return "6"
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if code.startswith("60"):
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return "1"
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return "0"
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# ---- 板块数据 ----
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# 从东方财富 bkzj/list.js 逆向的字段映射
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# f62=主力净流入, f184=主力净流入占比
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# f66=超大单净流入, f69=超大单净流入占比
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# f72=大单净流入, f75=大单净流入占比
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# f78=中单净流入, f81=中单净流入占比
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# f84=小单净流入, f87=小单净流入占比
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# f70=成交额
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SECTOR_FIELDS = "f12,f14,f2,f3,f62,f184,f66,f69,f72,f75,f78,f81,f84,f87,f70"
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# 东方财富板块类型映射
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SECTOR_MEDIA_MAP = {
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"industry": "m:90+s:4",
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"concept": "m:90+t:3",
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}
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# 东方财富 UT 令牌管理
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_em_ut: str = "8dec03ba335b81bf4ebdf7b29ec27d15"
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_em_ut_lock = asyncio.Lock()
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async def _refresh_em_ut() -> str:
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"""
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从东方财富前端 JS 中提取最新的 ut 令牌。
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按优先级尝试：
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1. bkzj/list.js（板块页专用）
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2. common/emdataview.js（通用数据组件）
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"""
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urls = [
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"https://data.eastmoney.com/newstatic/js/bkzj/list.js",
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"https://data.eastmoney.com/newstatic/js/common/emdataview.js",
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]
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
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"Referer": "https://data.eastmoney.com/bkzj/hy.html",
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}
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async with httpx.AsyncClient() as client:
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for url in urls:
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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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continue
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# 匹配 ut: 'xxxx' 或 ut:'xxxx' 或 ut: "xxxx"
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m = re.search(r"""ut['"]?\s*:\s*['"]([a-f0-9]{32})['"]""", resp.text)
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if m:
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token = m.group(1)
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print(f"[eastmoney] 已刷新 UT 令牌: {token[:8]}...")
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return token
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except Exception as e:
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print(f"[eastmoney] 获取 UT 失败({url}): {e}")
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return _em_ut # 保底返回当前值
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async def get_em_ut(force_refresh: bool = False) -> str:
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"""获取当前 UT，必要时刷新"""
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global _em_ut
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if force_refresh:
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async with _em_ut_lock:
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_em_ut = await _refresh_em_ut()
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return _em_ut
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# ---- 板块数据（市场时间感知缓存）----
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_CST = timezone(timedelta(hours=8)) # 北京时间
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_TRADING_MORNING = (dtime(9, 30), dtime(11, 30))
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_TRADING_AFTERNOON = (dtime(13, 0), dtime(15, 0))
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def _cst_now() -> datetime:
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return datetime.now(_CST)
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def _is_trading_time() -> bool:
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"""判断当前是否为 A 股交易时段（周一至周五 9:30-11:30 / 13:00-15:00）"""
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now = _cst_now()
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if now.weekday() >= 5:
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return False
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t = now.time()
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return (_TRADING_MORNING[0] <= t <= _TRADING_MORNING[1]
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or _TRADING_AFTERNOON[0] <= t <= _TRADING_AFTERNOON[1])
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def _sector_ttl_hours() -> int:
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"""根据是否在交易时段返回缓存 TTL
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- 交易时段: 2 分钟（数据持续变化）
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- 非交易时段: 18 小时（覆盖到下一个交易日）
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"""
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return 0 if _is_trading_time() else 18
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# curl_cffi 模拟 Chrome TLS 指纹
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from curl_cffi.requests import AsyncSession
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_sector_session: Optional[AsyncSession] = None
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def _get_sector_session() -> AsyncSession:
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global _sector_session
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if _sector_session is None:
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_sector_session = AsyncSession(
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impersonate="chrome120",
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headers={
|
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
|
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"Referer": "https://data.eastmoney.com/bkzj/hy.html",
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"Accept": "*/*",
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"Accept-Language": "zh-CN,zh;q=0.9",
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},
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timeout=10,
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)
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return _sector_session
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# 内存缓存（加速交易时段频繁请求）
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_sector_cache: dict[str, tuple[list[dict], float]] = {}
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_SECTOR_MEM_TTL = 60
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async def fetch_sector_list(sector_type: str) -> list[dict]:
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# 1. 内存缓存
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now = time.time()
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if sector_type in _sector_cache:
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data, ts = _sector_cache[sector_type]
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if now - ts < _SECTOR_MEM_TTL:
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return data
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cache_key = f"sector_list:{sector_type}"
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|
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# 2. 非交易时段：走磁盘持久缓存
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if not _is_trading_time():
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cached = get_cache(cache_key)
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if cached is not None:
|
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data = json.loads(cached)
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_sector_cache[sector_type] = (data, now)
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return data
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# 3. 并发请求 push2 和 akshare，优先使用 push2
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push2_task = asyncio.create_task(_fetch_push2(sector_type))
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akshare_task = asyncio.create_task(_fetch_akshare(sector_type))
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push2_data = await push2_task
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if push2_data:
|
||
akshare_task.cancel()
|
||
try:
|
||
await akshare_task
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except asyncio.CancelledError:
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||
pass
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_sector_cache[sector_type] = (push2_data, now)
|
||
ttl = _sector_ttl_hours()
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||
if ttl > 0:
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set_cache(cache_key, json.dumps(push2_data, ensure_ascii=False), ttl_hours=ttl)
|
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return push2_data
|
||
|
||
# push2 失败，用 akshare
|
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akshare_data = await akshare_task
|
||
if akshare_data:
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||
_sector_cache[sector_type] = (akshare_data, now)
|
||
return akshare_data
|
||
|
||
|
||
async def _fetch_push2(sector_type: str) -> list[dict]:
|
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"""东方财富 push2 API（curl_cffi 模拟浏览器 TLS 指纹）"""
|
||
fs = SECTOR_MEDIA_MAP.get(sector_type)
|
||
if not fs:
|
||
return []
|
||
|
||
session = _get_sector_session()
|
||
ut = await get_em_ut()
|
||
url = (
|
||
f"https://push2.eastmoney.com/api/qt/clist/get"
|
||
f"?fs={fs}&fields={SECTOR_FIELDS}"
|
||
f"&fid=f62&po=1&pz=500&pn=1&np=1&fltt=2"
|
||
f"&invt=2&ut={ut}"
|
||
)
|
||
|
||
for attempt in range(2):
|
||
try:
|
||
resp = await session.get(url)
|
||
if resp.status_code != 200:
|
||
if attempt == 0:
|
||
await asyncio.sleep(1)
|
||
continue
|
||
return []
|
||
result = resp.json()
|
||
if result.get("rc") != 0:
|
||
return []
|
||
diff = result.get("data", {}).get("diff", [])
|
||
items = []
|
||
for item in diff:
|
||
items.append({
|
||
"code": item.get("f12", ""),
|
||
"name": item.get("f14", ""),
|
||
"level": item.get("f2"),
|
||
"changePercent": item.get("f3"),
|
||
"changeAmount": None,
|
||
"mainNetInflow": item.get("f62", 0) or 0,
|
||
"mainNetInflowPercent": item.get("f184", 0),
|
||
"superLargeInflow": item.get("f66", 0) or 0,
|
||
"superLargeInflowPercent": item.get("f69", 0),
|
||
"largeInflow": item.get("f72", 0) or 0,
|
||
"largeInflowPercent": item.get("f75", 0),
|
||
"mediumInflow": item.get("f78", 0) or 0,
|
||
"mediumInflowPercent": item.get("f81", 0),
|
||
"smallInflow": item.get("f84", 0) or 0,
|
||
"smallInflowPercent": item.get("f87", 0),
|
||
"turnover": item.get("f70", 0) or 0,
|
||
})
|
||
return items
|
||
except Exception as e:
|
||
err = str(e)
|
||
print(f"[eastmoney] push2 获取{sector_type}板块失败(attempt {attempt+1}): {err[:80]}")
|
||
# UT 可能过期，尝试刷新
|
||
if "disconnect" in err.lower() or "refused" in err.lower() or attempt == 1:
|
||
await get_em_ut(force_refresh=True)
|
||
ut = _em_ut
|
||
# 重建会话（TLS 指纹可能会被缓存）
|
||
global _sector_session
|
||
_sector_session = None
|
||
session = _get_sector_session()
|
||
if attempt == 0:
|
||
await asyncio.sleep(1)
|
||
return []
|
||
|
||
|
||
import akshare as ak
|
||
|
||
|
||
async def _fetch_akshare(sector_type: str) -> list[dict]:
|
||
"""akshare 降级方案（同花顺数据源）"""
|
||
loop = asyncio.get_event_loop()
|
||
|
||
def _get():
|
||
code_map = {}
|
||
try:
|
||
if sector_type == "industry":
|
||
code_df = ak.stock_board_industry_name_em()
|
||
else:
|
||
code_df = ak.stock_board_concept_name_em()
|
||
if code_df is not None and not code_df.empty:
|
||
for _, r in code_df.iterrows():
|
||
code_map[str(r.get("f14", ""))] = str(r.get("f12", ""))
|
||
except Exception:
|
||
try:
|
||
if sector_type == "industry":
|
||
code_df = ak.stock_board_industry_name_ths()
|
||
else:
|
||
code_df = ak.stock_board_concept_name_ths()
|
||
if code_df is not None and not code_df.empty:
|
||
for _, r in code_df.iterrows():
|
||
code_map[str(r.get("name", ""))] = str(r.get("code", ""))
|
||
except Exception:
|
||
pass
|
||
|
||
if sector_type == "industry":
|
||
df = ak.stock_fund_flow_industry()
|
||
else:
|
||
df = ak.stock_fund_flow_concept()
|
||
|
||
return code_map, df
|
||
|
||
try:
|
||
code_map, df = await loop.run_in_executor(None, _get)
|
||
if df is None or df.empty:
|
||
return []
|
||
df = df.sort_values("净额", ascending=False)
|
||
items = []
|
||
for _, row in df.iterrows():
|
||
name = str(row.get("行业", "")).strip()
|
||
inflow = float(row.get("流入资金", 0) or 0) * 100000000
|
||
outflow = float(row.get("流出资金", 0) or 0) * 100000000
|
||
items.append({
|
||
"code": code_map.get(name, ""),
|
||
"name": name,
|
||
"level": float(row.get("行业指数") or 0),
|
||
"changePercent": float(row.get("行业-涨跌幅") or 0),
|
||
"changeAmount": None,
|
||
"mainNetInflow": float(row.get("净额", 0) or 0) * 100000000,
|
||
"mainNetInflowPercent": None,
|
||
"superLargeInflow": None,
|
||
"superLargeInflowPercent": None,
|
||
"largeInflow": None,
|
||
"largeInflowPercent": None,
|
||
"mediumInflow": None,
|
||
"mediumInflowPercent": None,
|
||
"smallInflow": None,
|
||
"smallInflowPercent": None,
|
||
"turnover": inflow + outflow,
|
||
})
|
||
return items
|
||
except Exception as e:
|
||
print(f"[eastmoney] akshare 获取{sector_type}板块失败: {e}")
|
||
return []
|
||
|
||
|
||
# ---- 公司概况 ----
|
||
|
||
_F10_MARKET_MAP = {"6": "SH", "0": "SZ", "3": "SZ"}
|
||
_DATACENTER_MARKET_MAP = {"6": "SH", "0": "SZ", "3": "SZ"}
|
||
|
||
|
||
def _code_to_f10(code: str) -> str:
|
||
"""6位代码 → 东方财富 F10 格式 (SH600519 / SZ000001)"""
|
||
prefix = code[0]
|
||
mkt = _F10_MARKET_MAP.get(prefix, "SH")
|
||
return f"{mkt}{code}"
|
||
|
||
|
||
def _code_to_secucode(code: str) -> str:
|
||
"""6位代码 → 数据中心格式 (600519.SH / 000001.SZ)"""
|
||
prefix = code[0]
|
||
mkt = _DATACENTER_MARKET_MAP.get(prefix, "SH")
|
||
return f"{code}.{mkt}"
|
||
|
||
|
||
async def fetch_company_profile(code: str) -> Optional[dict]:
|
||
"""东方财富 F10 - 公司概况（缓存24小时）"""
|
||
cache_key = f"company_profile:{code}"
|
||
cached = get_cache(cache_key)
|
||
if cached is not None:
|
||
return json.loads(cached)
|
||
|
||
em_code = _code_to_f10(code)
|
||
url = (
|
||
f"https://emweb.securities.eastmoney.com/PC_HSF10"
|
||
f"/CompanySurvey/CompanySurveyAjax?code={em_code}"
|
||
)
|
||
headers = {
|
||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
|
||
"Referer": (
|
||
f"https://emweb.securities.eastmoney.com/PC_HSF10"
|
||
f"/CompanySurvey/Index?type=web&code={em_code}"
|
||
),
|
||
}
|
||
|
||
async with httpx.AsyncClient() as client:
|
||
try:
|
||
resp = await client.get(url, headers=headers, timeout=15)
|
||
if resp.status_code != 200:
|
||
return None
|
||
raw = resp.json()
|
||
except Exception as e:
|
||
print(f"[eastmoney] fetch_company_profile error: {e}")
|
||
return None
|
||
|
||
jbzl = raw.get("jbzl", {})
|
||
fxxg = raw.get("fxxg", {})
|
||
|
||
profile = {
|
||
"code": code,
|
||
"name": jbzl.get("agjc", ""),
|
||
"fullName": jbzl.get("gsmc", ""),
|
||
"englishName": jbzl.get("ywmc", ""),
|
||
"boardType": jbzl.get("zqlb", ""),
|
||
"industry": jbzl.get("sshy", ""),
|
||
"exchange": jbzl.get("ssjys", ""),
|
||
"industryDetail": jbzl.get("sszjhhy", ""),
|
||
|
||
# 高管
|
||
"chairman": jbzl.get("dsz", ""),
|
||
"generalManager": jbzl.get("zjl", ""),
|
||
"secretary": jbzl.get("dm", ""),
|
||
|
||
# 联系方式
|
||
"phone": jbzl.get("lxdh", ""),
|
||
"email": jbzl.get("dzxx", ""),
|
||
"fax": jbzl.get("cz", ""),
|
||
"website": jbzl.get("gswz", ""),
|
||
|
||
# 地址
|
||
"officeAddress": jbzl.get("bgdz", ""),
|
||
"registeredAddress": jbzl.get("zcdz", ""),
|
||
"region": jbzl.get("qy", ""),
|
||
"postalCode": jbzl.get("yzbm", ""),
|
||
|
||
# 注册信息
|
||
"registeredCapital": jbzl.get("zczb", ""),
|
||
"unifiedCreditCode": jbzl.get("gsdj", ""),
|
||
"employees": jbzl.get("gyrs", 0),
|
||
"managementCount": jbzl.get("glryrs", 0),
|
||
|
||
# 中介机构
|
||
"lawFirm": jbzl.get("lssws", ""),
|
||
"auditor": jbzl.get("kjssws", ""),
|
||
|
||
# 公司简介&业务
|
||
"businessScope": jbzl.get("jyfw", ""),
|
||
"companyProfile": jbzl.get("gsjj", ""),
|
||
|
||
# 发行信息
|
||
"establishmentDate": fxxg.get("clrq", ""),
|
||
"listingDate": fxxg.get("ssrq", ""),
|
||
"listingPrice": fxxg.get("mgfxj", ""),
|
||
"issuePriceEarningsRatio": fxxg.get("fxsyl", ""),
|
||
"issueAmount": fxxg.get("fxl", ""),
|
||
"netProceeds": fxxg.get("mjzjje", ""),
|
||
"issueMethod": fxxg.get("fxfs", ""),
|
||
}
|
||
|
||
set_cache(cache_key, json.dumps(profile, ensure_ascii=False), ttl_hours=24)
|
||
return profile
|
||
|
||
|
||
# ---- 财务数据 ----
|
||
|
||
# 财务指标关键字段映射（英文 → 中文）
|
||
FINANCIAL_FIELD_LABELS: dict[str, str] = {
|
||
"EPSJB": "基本每股收益",
|
||
"EPSKCJB": "扣非每股收益",
|
||
"BPS": "每股净资产",
|
||
"MGWFPLR": "每股未分配利润",
|
||
"MGJYXJJE": "每股经营现金流",
|
||
"TOTALOPERATEREVE": "营业总收入",
|
||
"MLR": "毛利润",
|
||
"PARENTNETPROFIT": "归母净利润",
|
||
"KCFJCXSYJLR": "扣非净利润",
|
||
"TOTALOPERATEREVETZ": "营收同比增长",
|
||
"PARENTNETPROFITTZ": "净利润同比增长",
|
||
"KCFJCXSYJLRTZ": "扣非净利润同比增长",
|
||
"ROEJQ": "加权净资产收益率",
|
||
"ROEKCJQ": "扣非ROE",
|
||
"ZZCJLL": "总资产净利率",
|
||
"XSJLL": "销售净利率",
|
||
"XSMLL": "销售毛利率",
|
||
"LD": "流动比率",
|
||
"SD": "速动比率",
|
||
"ZCFZL": "资产负债率",
|
||
"XJLLB": "现金流比率",
|
||
"YSZKZZTS": "应收账款周转天数",
|
||
"CHZZTS": "存货周转天数",
|
||
"ZZCZZTS": "总资产周转天数",
|
||
"TOAZZL": "总资产周转率",
|
||
"CHZZL": "存货周转率",
|
||
"ROIC": "投入资本回报率",
|
||
"QYCS": "权益乘数",
|
||
"CQBL": "产权比率",
|
||
"TAXRATE": "实际税率",
|
||
"TOTAL_SHARE": "总股本",
|
||
"A_FREE_SHARE": "流通A股",
|
||
"DJD_TOI_YOY": "单季营收同比",
|
||
"DJD_DPNP_YOY": "单季净利润同比",
|
||
"EPSJBTZ": "每股收益同比增长",
|
||
"BPSTZ": "每股净资产同比增长",
|
||
"ROEJQTZ": "ROE同比增长",
|
||
# 利润表补充
|
||
"OPERATE_PROFIT_PK": "营业利润",
|
||
"PER_TOI": "每股营业收入",
|
||
"PER_EBIT": "每股EBIT",
|
||
# 资产负债表补充
|
||
"TOTAL_ASSETS_PK": "总资产",
|
||
"LIABILITY": "总负债",
|
||
"TOTAL_EQUITY_PK": "所有者权益",
|
||
"MGZBGJ": "每股资本公积",
|
||
"CA_TA": "流动资产占比",
|
||
"NCA_TA": "非流动资产占比",
|
||
"CL_TL": "流动负债占比",
|
||
# 现金流量表补充
|
||
"NETCASH_OPERATE_PK": "经营活动现金流净额",
|
||
"NETCASH_INVEST_PK": "投资活动现金流净额",
|
||
"NETCASH_FINANCE_PK": "筹资活动现金流净额",
|
||
"JYXJLYYSR": "经营现金流占营收比",
|
||
"XSJXLYYSR": "销售现金流占营收比",
|
||
"FCFF_FORWARD": "企业自由现金流",
|
||
# 营运能力补充
|
||
"OPERATE_CYCLE": "营业周期",
|
||
"CURRENT_ASSET_TR": "流动资产周转率",
|
||
"FIXED_ASSET_TR": "固定资产周转率",
|
||
"ACCOUNTS_PAYABLE_TR": "应付账款周转率",
|
||
"PREPAID_ACCOUNTS_RATIO": "预收账款占营收比",
|
||
"PAYABLE_TDAYS": "应付账款周转天数",
|
||
}
|
||
|
||
|
||
# 小数比率字段（后端返回小数，前端需显示为百分比）
|
||
_DECIMAL_RATIO_FIELDS = {
|
||
"JYXJLYYSR", "XSJXLYYSR", "PREPAID_ACCOUNTS_RATIO",
|
||
"NCO_OP", "NCO_FIXED", "SALE_ER_PK",
|
||
}
|
||
|
||
|
||
def _parse_financial_record(record: dict) -> dict:
|
||
"""将原始财务记录转为整洁的输出"""
|
||
result = {}
|
||
for field, label in FINANCIAL_FIELD_LABELS.items():
|
||
val = record.get(field)
|
||
if val is not None:
|
||
if isinstance(val, (int, float)):
|
||
# 小数比率字段转为百分比
|
||
if field in _DECIMAL_RATIO_FIELDS and abs(val) < 1:
|
||
result[label] = round(val * 100, 2)
|
||
result[label + "(%)"] = True
|
||
elif abs(val) > 1_0000_0000:
|
||
result[label] = round(val / 1_0000_0000, 2)
|
||
result[label + "(亿)"] = True
|
||
elif abs(val) > 1_0000:
|
||
result[label] = round(val / 1_0000, 2)
|
||
result[label + "(万)"] = True
|
||
else:
|
||
result[label] = round(val, 2)
|
||
else:
|
||
result[label] = val
|
||
return result
|
||
|
||
|
||
async def fetch_financial_data_main(code: str, years: int = 5) -> Optional[list[dict]]:
|
||
"""东方财富数据中心 - 主要财务指标（缓存6小时）"""
|
||
cache_key = f"financial_main:{code}:{years}"
|
||
cached = get_cache(cache_key)
|
||
if cached is not None:
|
||
return json.loads(cached)
|
||
|
||
secucode = _code_to_secucode(code)
|
||
url = "https://datacenter.eastmoney.com/securities/api/data/v1/get"
|
||
params = {
|
||
"reportName": "RPT_F10_FINANCE_MAINFINADATA",
|
||
"columns": "ALL",
|
||
"filter": f'(SECUCODE="{secucode}")',
|
||
"pageNumber": 1,
|
||
"pageSize": max(years * 4, 4), # 每年最多4份报告
|
||
"sortTypes": -1,
|
||
"sortColumns": "REPORT_DATE",
|
||
}
|
||
headers = {
|
||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
|
||
"Referer": "https://datacenter.eastmoney.com/",
|
||
}
|
||
|
||
async with httpx.AsyncClient() as client:
|
||
try:
|
||
resp = await client.get(url, params=params, headers=headers, timeout=15)
|
||
if resp.status_code != 200:
|
||
return None
|
||
body = resp.json()
|
||
if not body.get("result") or not body["result"].get("data"):
|
||
return None
|
||
records = body["result"]["data"]
|
||
except Exception as e:
|
||
print(f"[eastmoney] fetch_financial_data error: {e}")
|
||
return None
|
||
|
||
items = []
|
||
for r in records:
|
||
items.append({
|
||
"reportDate": r.get("REPORT_DATE", ""),
|
||
"reportType": r.get("REPORT_TYPE", ""),
|
||
"reportDateName": r.get("REPORT_DATE_NAME", ""),
|
||
"noticeDate": r.get("NOTICE_DATE", ""),
|
||
"indicators": _parse_financial_record(r),
|
||
})
|
||
|
||
set_cache(cache_key, json.dumps(items, ensure_ascii=False), ttl_hours=6)
|
||
return items
|
||
|
||
|
||
# ---- 经营分析（主营构成/收入构成）----
|
||
|
||
_SEGMENT_TYPE_MAP = {
|
||
"industry": "1", # 按行业
|
||
"product": "2", # 按产品
|
||
"region": "3", # 按地区
|
||
}
|
||
|
||
|
||
async def fetch_business_segments(code: str, by_type: str = "product", years: int = 3) -> Optional[list[dict]]:
|
||
"""东方财富经营分析 - 主营构成（按产品/行业/地区），缓存6小时
|
||
|
||
Args:
|
||
code: 6位股票代码
|
||
by_type: "product"|"industry"|"region"
|
||
years: 返回最近N年的数据
|
||
"""
|
||
seg_type = _SEGMENT_TYPE_MAP.get(by_type, "2")
|
||
cache_key = f"business_segments:{code}:{by_type}:{years}"
|
||
cached = get_cache(cache_key)
|
||
if cached is not None:
|
||
return json.loads(cached)
|
||
|
||
secucode = _code_to_secucode(code)
|
||
url = "https://datacenter.eastmoney.com/securities/api/data/v1/get"
|
||
params = {
|
||
"reportName": "RPT_F10_FN_SEGMENTSV",
|
||
"columns": (
|
||
"SECUCODE,SECURITY_CODE,SECURITY_NAME_ABBR,MAINOP_TYPE,ITEM_NAME,"
|
||
"ITEM_CODE,ITEM_PARENT_CODE,MAIN_BUSINESS_INCOME,MAIN_BUSINESS_RPOFIT,"
|
||
"GROSS_RPOFIT_RATIO,MBI_RATIO,MBR_RATIO,REPORT_DATE,REPORT_NAME,"
|
||
"REPORT_DATE_CODE,MAIN_BUSINESS_COST,MBC_RATIO"
|
||
),
|
||
"filter": f'(SECUCODE="{secucode}")(MAINOP_TYPE="{seg_type}")(ITEM_PARENT_CODE="999999")',
|
||
"pageNumber": 1,
|
||
"pageSize": 200,
|
||
"sortTypes": "1,1",
|
||
"sortColumns": "MAINOP_TYPE,RANK3",
|
||
}
|
||
headers = {
|
||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
|
||
"Referer": "https://datacenter.eastmoney.com/",
|
||
}
|
||
|
||
async with httpx.AsyncClient() as client:
|
||
try:
|
||
resp = await client.get(url, params=params, headers=headers, timeout=15)
|
||
if resp.status_code != 200:
|
||
return None
|
||
body = resp.json()
|
||
if not body.get("result") or not body["result"].get("data"):
|
||
return None
|
||
records = body["result"]["data"]
|
||
except Exception as e:
|
||
print(f"[eastmoney] fetch_business_segments error: {e}")
|
||
return None
|
||
|
||
# 按报告期分组
|
||
from collections import OrderedDict
|
||
period_map: dict[str, list[dict]] = OrderedDict()
|
||
for r in records:
|
||
report_name = r.get("REPORT_NAME", "")
|
||
report_date = r.get("REPORT_DATE", "")
|
||
item_name = r.get("ITEM_NAME", "")
|
||
income = r.get("MAIN_BUSINESS_INCOME")
|
||
cost = r.get("MAIN_BUSINESS_COST")
|
||
profit = r.get("MAIN_BUSINESS_RPOFIT")
|
||
gross_ratio = r.get("GROSS_RPOFIT_RATIO")
|
||
mbi_ratio = r.get("MBI_RATIO")
|
||
mbr_ratio = r.get("MBR_RATIO")
|
||
mbc_ratio = r.get("MBC_RATIO")
|
||
|
||
entry = {
|
||
"itemName": item_name,
|
||
"income": income,
|
||
"cost": cost,
|
||
"profit": profit,
|
||
"grossRatio": round(gross_ratio * 100, 2) if gross_ratio is not None else None,
|
||
"incomeRatio": round(mbi_ratio * 100, 2) if mbi_ratio is not None else None,
|
||
"profitRatio": round(mbr_ratio * 100, 2) if mbr_ratio is not None else None,
|
||
"costRatio": round(mbc_ratio * 100, 2) if mbc_ratio is not None else None,
|
||
}
|
||
|
||
if report_name not in period_map:
|
||
period_map[report_name] = []
|
||
period_map[report_name].append(entry)
|
||
|
||
# 补充 profitRatio：若 API 未返回，用该期总利润推算各项目利润占比
|
||
for pname, items in period_map.items():
|
||
total_profit = sum(it["profit"] for it in items if it["profit"] is not None)
|
||
if total_profit != 0:
|
||
for it in items:
|
||
if it["profitRatio"] is None and it["profit"] is not None:
|
||
it["profitRatio"] = round(it["profit"] / total_profit * 100, 2)
|
||
|
||
# 取最近N年
|
||
all_periods = list(period_map.keys())
|
||
all_periods.sort(reverse=True)
|
||
selected = all_periods[:max(years * 4, 4)]
|
||
|
||
result = []
|
||
for p in selected:
|
||
result.append({
|
||
"reportName": p,
|
||
"items": period_map[p],
|
||
})
|
||
|
||
set_cache(cache_key, json.dumps(result, ensure_ascii=False), ttl_hours=6)
|
||
return result
|
||
|
||
|
||
async def fetch_kline_history(code: str, days: int = 90) -> Optional[list[dict]]:
|
||
"""从 push2his kline/get 获取日K线（curl_cffi 模拟浏览器 TLS 指纹）
|
||
|
||
可能受 IP 限流影响，调用方应有降级。
|
||
返回: [{date, open, close, high, low, volume(手), turnover, changePercent, amplitude, turnoverRate}]
|
||
"""
|
||
market = get_eastmoney_market(code)
|
||
secid = f"{market}.{code}"
|
||
url = (
|
||
f"https://push2his.eastmoney.com/api/qt/stock/kline/get"
|
||
f"?secid={secid}"
|
||
f"&ut=b2884a393a59ad64002292a3e90d46a5"
|
||
f"&fields1=f1,f2,f3,f4,f5,f6"
|
||
f"&fields2=f51,f52,f53,f54,f55,f56,f57,f58,f59,f60,f61"
|
||
f"&klt=101&fqt=1&end=20500101&lmt={days}"
|
||
)
|
||
|
||
from curl_cffi.requests import AsyncSession
|
||
async with AsyncSession(impersonate="chrome120") as session:
|
||
for attempt in range(2):
|
||
try:
|
||
resp = await session.get(url, headers={
|
||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
|
||
"Referer": "https://quote.eastmoney.com/",
|
||
}, timeout=10)
|
||
if resp.status_code != 200:
|
||
if attempt == 0:
|
||
continue
|
||
return None
|
||
result = resp.json()
|
||
if result.get("rc") != 0:
|
||
if attempt == 0:
|
||
continue
|
||
return None
|
||
klines = result.get("data", {}).get("klines", [])
|
||
if not klines:
|
||
if attempt == 0:
|
||
continue
|
||
return None
|
||
|
||
parsed = []
|
||
for line in klines:
|
||
fields = line.split(",")
|
||
if len(fields) < 11:
|
||
continue
|
||
def _f(i): return float(fields[i]) if fields[i] else 0
|
||
parsed.append({
|
||
"date": fields[0],
|
||
"open": _f(1),
|
||
"close": _f(2),
|
||
"high": _f(3),
|
||
"low": _f(4),
|
||
"volume": int(_f(5)), # 手
|
||
"turnover": _f(6),
|
||
"amplitude": _f(7),
|
||
"changePercent": _f(8),
|
||
"change": _f(9),
|
||
"turnoverRate": _f(10),
|
||
})
|
||
|
||
parsed.reverse()
|
||
return parsed
|
||
except Exception as e:
|
||
if attempt == 0:
|
||
continue
|
||
return None
|
||
return None
|
||
|
||
|
||
async def fetch_fund_flow_daykline(code: str, days: int) -> Optional[list[dict]]:
|
||
"""从 push2his daykline/get 获取资金流向日线数据（结构化返回，替代 MX API）
|
||
|
||
返回字段：date, mainNetInflow, superLargeInflow/Outflow, largeInflow/Outflow,
|
||
mediumInflow/Outflow, smallInflow/Outflow, 各占比%, closePrice, changePercent,
|
||
mainForceNet, retailNet
|
||
"""
|
||
market = get_eastmoney_market(code)
|
||
secid = f"{market}.{code}"
|
||
url = (
|
||
f"https://push2his.eastmoney.com/api/qt/stock/fflow/daykline/get"
|
||
f"?lmt={days}&fields1=f1,f2,f3,f7"
|
||
f"&fields2=f51,f52,f53,f54,f55,f56,f57,f58,f59,f60,f61,f62,f63"
|
||
f"&ut=b2884a393a59ad64002292a3e90d46a5&secid={secid}"
|
||
)
|
||
headers = {
|
||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
|
||
"Referer": "https://quote.eastmoney.com/",
|
||
}
|
||
|
||
for attempt in range(2):
|
||
async with httpx.AsyncClient() as client:
|
||
try:
|
||
resp = await client.get(url, headers=headers, timeout=10)
|
||
if resp.status_code != 200:
|
||
if attempt == 0:
|
||
continue
|
||
return None
|
||
result = resp.json()
|
||
klines = result.get("data", {}).get("klines", [])
|
||
if not klines:
|
||
if attempt == 0:
|
||
continue
|
||
return None
|
||
|
||
parsed = []
|
||
for line in klines:
|
||
fields = line.split(",")
|
||
if len(fields) < 13:
|
||
continue
|
||
def _f(i): return float(fields[i]) if fields[i] else 0
|
||
|
||
# 字段索引: 0=f51(date), 1=f52(主力), 2=f53(小单), 3=f54(中单),
|
||
# 4=f55(大单), 5=f56(超大单), 6=f57(主力%), 7=f58(小单%),
|
||
# 8=f59(中单%), 9=f60(大单%), 10=f61(超大单%), 11=f62(收盘价), 12=f63(涨跌幅)
|
||
date = fields[0]
|
||
main_net = _f(1)
|
||
small_net = _f(2)
|
||
medium_net = _f(3)
|
||
large_net = _f(4)
|
||
super_large_net = _f(5)
|
||
|
||
parsed.append({
|
||
"date": date,
|
||
"mainNetInflow": main_net,
|
||
"superLargeInflow": max(0, super_large_net),
|
||
"superLargeOutflow": abs(min(0, super_large_net)),
|
||
"largeInflow": max(0, large_net),
|
||
"largeOutflow": abs(min(0, large_net)),
|
||
"mediumInflow": max(0, medium_net),
|
||
"mediumOutflow": abs(min(0, medium_net)),
|
||
"smallInflow": max(0, small_net),
|
||
"smallOutflow": abs(min(0, small_net)),
|
||
"mainNetInflowPercent": _f(6),
|
||
"superLargeInflowPercent": _f(10),
|
||
"superLargeOutflowPercent": 0,
|
||
"largeInflowPercent": _f(9),
|
||
"largeOutflowPercent": 0,
|
||
"mediumInflowPercent": _f(8),
|
||
"mediumOutflowPercent": 0,
|
||
"smallInflowPercent": _f(7),
|
||
"smallOutflowPercent": 0,
|
||
"turnover": 0, # daykline 不含成交额，由调用方从 Tencent K 线合并
|
||
"mainForceNet": main_net,
|
||
"retailNet": small_net + medium_net,
|
||
"changePercent": _f(12),
|
||
"closePrice": _f(11),
|
||
})
|
||
|
||
return parsed
|
||
except Exception as e:
|
||
if attempt == 0:
|
||
continue
|
||
print(f"[eastmoney] fetch_fund_flow_daykline error: {e}")
|
||
return None
|
||
return None
|