774 lines
26 KiB
Python
774 lines
26 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 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
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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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# ---- API Key 轮询 ----
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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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# ---- 工具函数 ----
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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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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 ----
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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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# 缓存命中
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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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# 多 key 轮询：按序尝试，遇到 113(超限) 自动切下一个 key
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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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# 成功
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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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# ---- 板块数据 ----
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# 东方财富板块类型映射
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SECTOR_TYPE_MAP = {
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"industry": "m:90+t:2", # 行业板块
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"concept": "m:90+t:3", # 概念板块
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}
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# 板块列表字段：f12=代码, f14=名称, f3=涨跌幅%, 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, f70=成交额, f78=小单净流入
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SECTOR_FIELDS = "f12,f14,f2,f3,f4,f62,f184,f66,f69,f70,f78"
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# ---- 板块数据（通过 akshare 调用同花顺数据源）----
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import akshare as ak
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import pandas as pd
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async def fetch_sector_list(sector_type: str) -> list[dict]:
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"""
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获取板块资金流向数据
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sector_type: "industry" 或 "concept"
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返回按主力净流入降序排列的板块列表
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编码优先东方财富（BKxxxx），降级同花顺（6位数字）
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"""
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loop = asyncio.get_event_loop()
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def _get_data():
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# 1) 板块编码映射：东方财富 BK 编码 → 降级同花顺编码
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code_map = {}
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try:
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if sector_type == "industry":
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code_df = ak.stock_board_industry_name_em()
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else:
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code_df = ak.stock_board_concept_name_em()
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if code_df is not None and not code_df.empty:
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for _, r in code_df.iterrows():
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code_map[str(r.get("f14", ""))] = str(r.get("f12", ""))
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except Exception:
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try:
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if sector_type == "industry":
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code_df = ak.stock_board_industry_name_ths()
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else:
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code_df = ak.stock_board_concept_name_ths()
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if code_df is not None and not code_df.empty:
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for _, r in code_df.iterrows():
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code_map[str(r.get("name", ""))] = str(r.get("code", ""))
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except Exception:
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pass
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# 2) 资金流向（10jqka 同花顺数据源）
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if sector_type == "industry":
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df = ak.stock_fund_flow_industry()
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else:
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df = ak.stock_fund_flow_concept()
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return code_map, df
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try:
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code_map, df = await loop.run_in_executor(None, _get_data)
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if df is None or df.empty:
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return []
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df = df.sort_values("净额", ascending=False)
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items = []
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for _, row in df.iterrows():
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name = str(row.get("行业", "")).strip()
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items.append({
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"code": code_map.get(name, ""),
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"name": name,
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"level": _safe_float(row.get("行业指数")),
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"changePercent": _safe_float(row.get("行业-涨跌幅")),
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"changeAmount": None,
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"mainNetInflow": _safe_float(row.get("净额", 0)) * 100000000, # 亿→元
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"mainNetInflowPercent": None,
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"superLargeInflow": None,
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"superLargeInflowPercent": None,
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"turnover": _safe_float(row.get("流入资金", 0)) * 100000000 + _safe_float(row.get("流出资金", 0)) * 100000000,
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"smallNetInflow": None,
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})
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return items
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except Exception as e:
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print(f"[eastmoney] 获取{sector_type}板块失败: {e}")
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return []
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def _safe_float(val) -> float:
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if val is None:
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return 0.0
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try:
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return float(val)
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except (ValueError, TypeError):
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return 0.0
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async def fetch_sector_list_direct(sector_type: str) -> list[dict]:
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"""
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直接从东方财富 push2 API 获取板块列表（备用，当 akshare 不可用时）
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"""
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fs = SECTOR_TYPE_MAP.get(sector_type)
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if not fs:
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return []
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url = (
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f"https://push2.eastmoney.com/api/qt/clist/get"
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f"?fs={fs}&fields={SECTOR_FIELDS}"
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f"&fid=f62&po=1&pz=500&pn=1&np=1&fltt=2"
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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",
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"Referer": "https://quote.eastmoney.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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result = resp.json()
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if result.get("rc") != 0:
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return []
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diff = result.get("data", {}).get("diff", [])
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items = []
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for item in diff:
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items.append({
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"code": item.get("f12", ""),
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"name": item.get("f14", ""),
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"level": item.get("f2"),
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"changePercent": item.get("f3"),
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"changeAmount": item.get("f4"),
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"mainNetInflow": item.get("f62", 0),
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"mainNetInflowPercent": item.get("f184", 0),
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"superLargeInflow": item.get("f66", 0),
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"superLargeInflowPercent": item.get("f69", 0),
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"turnover": item.get("f70", 0),
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"smallNetInflow": item.get("f78", 0),
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})
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return items
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except Exception as e:
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print(f"[eastmoney] 获取{sector_type}板块失败: {e}")
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return []
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# ---- 公司概况 ----
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_F10_MARKET_MAP = {"6": "SH", "0": "SZ", "3": "SZ"}
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_DATACENTER_MARKET_MAP = {"6": "SH", "0": "SZ", "3": "SZ"}
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def _code_to_f10(code: str) -> str:
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"""6位代码 → 东方财富 F10 格式 (SH600519 / SZ000001)"""
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prefix = code[0]
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mkt = _F10_MARKET_MAP.get(prefix, "SH")
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return f"{mkt}{code}"
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def _code_to_secucode(code: str) -> str:
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"""6位代码 → 数据中心格式 (600519.SH / 000001.SZ)"""
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prefix = code[0]
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mkt = _DATACENTER_MARKET_MAP.get(prefix, "SH")
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return f"{code}.{mkt}"
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async def fetch_company_profile(code: str) -> Optional[dict]:
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"""东方财富 F10 - 公司概况（缓存24小时）"""
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cache_key = f"company_profile:{code}"
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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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em_code = _code_to_f10(code)
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url = (
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f"https://emweb.securities.eastmoney.com/PC_HSF10"
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f"/CompanySurvey/CompanySurveyAjax?code={em_code}"
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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",
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"Referer": (
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f"https://emweb.securities.eastmoney.com/PC_HSF10"
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f"/CompanySurvey/Index?type=web&code={em_code}"
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),
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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=15)
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if resp.status_code != 200:
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return None
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raw = resp.json()
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except Exception as e:
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print(f"[eastmoney] fetch_company_profile error: {e}")
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return None
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jbzl = raw.get("jbzl", {})
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fxxg = raw.get("fxxg", {})
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profile = {
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"code": code,
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"name": jbzl.get("agjc", ""),
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"fullName": jbzl.get("gsmc", ""),
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"englishName": jbzl.get("ywmc", ""),
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"boardType": jbzl.get("zqlb", ""),
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"industry": jbzl.get("sshy", ""),
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"exchange": jbzl.get("ssjys", ""),
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"industryDetail": jbzl.get("sszjhhy", ""),
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# 高管
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"chairman": jbzl.get("dsz", ""),
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"generalManager": jbzl.get("zjl", ""),
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"secretary": jbzl.get("dm", ""),
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# 联系方式
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"phone": jbzl.get("lxdh", ""),
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"email": jbzl.get("dzxx", ""),
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"fax": jbzl.get("cz", ""),
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"website": jbzl.get("gswz", ""),
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# 地址
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"officeAddress": jbzl.get("bgdz", ""),
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"registeredAddress": jbzl.get("zcdz", ""),
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"region": jbzl.get("qy", ""),
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"postalCode": jbzl.get("yzbm", ""),
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# 注册信息
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"registeredCapital": jbzl.get("zczb", ""),
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"unifiedCreditCode": jbzl.get("gsdj", ""),
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"employees": jbzl.get("gyrs", 0),
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"managementCount": jbzl.get("glryrs", 0),
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# 中介机构
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"lawFirm": jbzl.get("lssws", ""),
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"auditor": jbzl.get("kjssws", ""),
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# 公司简介&业务
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"businessScope": jbzl.get("jyfw", ""),
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"companyProfile": jbzl.get("gsjj", ""),
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# 发行信息
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"establishmentDate": fxxg.get("clrq", ""),
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"listingDate": fxxg.get("ssrq", ""),
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"listingPrice": fxxg.get("mgfxj", ""),
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"issuePriceEarningsRatio": fxxg.get("fxsyl", ""),
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"issueAmount": fxxg.get("fxl", ""),
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"netProceeds": fxxg.get("mjzjje", ""),
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"issueMethod": fxxg.get("fxfs", ""),
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}
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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_push2his(code: str, days: int) -> Optional[list]:
|
|
"""回退到东方财富 push2his 接口（自动重试一次）"""
|
|
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,f64,f65,f66,f67,f68,f69"
|
|
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
|
|
print(f"[eastmoney] push2his HTTP {resp.status_code}")
|
|
return None
|
|
result = resp.json()
|
|
klines = result.get("data", {}).get("klines", [])
|
|
if not klines:
|
|
if attempt == 0:
|
|
continue
|
|
print(f"[eastmoney] push2his no klines in response")
|
|
return None
|
|
return klines
|
|
except Exception as e:
|
|
if attempt == 0:
|
|
continue
|
|
print(f"[eastmoney] push2his error: {e}")
|
|
return None
|
|
return None
|