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"""拉取场内基金的真实行情与费率,并核对库里的快照。
## 数据源
走项目自带的 `EastmoneyFundAdapter`(`app/infrastructure/fund_market_adapter.py`),
不自己拼 HTTP、不引第三方行情库:
· 历史净值 `api.fund.eastmoney.com/f10/lsjz`
· 费率 `fundf10.eastmoney.com/jbgk_{code}.html`(管理费/托管费/销售服务费/申赎费)
· 实时行情 `push2.eastmoney.com/api/qt/ulist.np/get`(见适配器 `fetch_quotes`)
同一套适配器也是下单链路(`TradeService` 取 `quote_price`/`quote_source`)
与 `MarketQuoteSyncService`(东财 + 腾讯双源)在用的,所以这里拿到的值与成交价同源。
## 用法
python tools/fetch_live_quotes.py # 净值 + 费率,与库里逐只对比
python tools/fetch_live_quotes.py --no-fees # 跳过费率(费率要串行抓 45KB/只,慢)
python tools/fetch_live_quotes.py --json # 输出 JSON(供生成知识条目等)
## 为什么要做对比而不是直接覆盖
`fin_product.current_nav` / `management_fee_rate` 都是**快照缓存**。多数情况下与数据源
一致,**不一致的那几只才是重点**:它们要么被人为改过(演示需要),要么字段本身填错。
直接覆盖会把线索一起抹掉。所以本脚本只**报告**差异、不写库
(刷新快照属于 `ProductHistorySyncService` / `MarketQuoteSyncService` 的职责)。
本机实测的两处不一致(2026-09-13),都是这么发现的:
· `510300` 库里净值 4.500000、真实 4.5794(且库里快照时间是当天,其余 19 只停在 09-11)
· `510300` 库里管理费 0.5000 / 托管费 0.1000、真实 0.15 / 0.05
—— 而 `0.50/0.10` 恰好是另外几只 ETF 的真实值,像是照抄过来的
"""
from __future__ import annotations
import argparse
import asyncio
import json
import sys
from datetime import date
from pathlib import Path
from sqlalchemy import text
PROJECT_ROOT = Path(__file__).resolve().parents[1]
if str(PROJECT_ROOT) not in sys.path:
sys.path.insert(0, str(PROJECT_ROOT))
from app.infrastructure.db import SessionFactory # noqa: E402
from app.infrastructure.fund_market_adapter import EastmoneyFundAdapter # noqa: E402
if hasattr(sys.stdout, "reconfigure"):
sys.stdout.reconfigure(errors="replace") # type: ignore[union-attr]
#: 与 `MarketQuoteSyncService.sync` 保持同一批产品:南方基金、场内、已上市。
PRODUCT_QUERY = """
SELECT product_code, product_name, exchange_code, product_category, risk_level,
lot_size, min_amount, current_nav, current_nav_at,
management_fee_rate, custodian_fee_rate, transaction_fee_rate
FROM fin_product
WHERE fund_manager = '南方基金'
AND exchange_code IN ('SSE', 'SZSE')
AND status = '上市'
ORDER BY product_code
"""
#: 库里已有值的费率字段 ↔ 数据源字段(用于逐项核对)。
FEE_STORED_TO_LIVE = {
"management_fee_rate": "management_fee_rate",
"custodian_fee_rate": "custodian_fee_rate",
}
def _text(value: object) -> str | None:
return None if value is None else str(value)
def _same(left: object, right: object) -> bool:
"""比较两个费率/净值文本,容忍 `0.5` 与 `0.5000` 这种表示差异。"""
if left is None or right is None:
return False
try:
return abs(float(str(left)) - float(str(right))) < 1e-9
except (TypeError, ValueError):
return str(left) == str(right)
async def collect(*, with_fees: bool = True) -> list[dict[str, object]]:
async with SessionFactory() as session:
rows = (await session.execute(text(PRODUCT_QUERY))).mappings().all()
adapter = EastmoneyFundAdapter()
codes = [str(row["product_code"]) for row in rows]
histories = await asyncio.gather(
*(adapter.fetch_history(code, date.today()) for code in codes),
return_exceptions=True,
)
# 费率走 f10 概况页:约 45KB/只、且适配器内部是串行抓取(不对公开接口并发施压),
# 因此只在需要时拉 —— `--no-fees` 可跳过。
fees: dict[str, dict[str, object]] = {}
if with_fees:
fees = await adapter.fetch_fees(codes)
records: list[dict[str, object]] = []
for row, history in zip(rows, histories, strict=True):
code = str(row["product_code"])
if isinstance(history, BaseException):
history = {"degraded": True, "error": type(history).__name__}
live_nav = history.get("nav")
stored_nav = row["current_nav"]
live_fee = fees.get(code) or {}
record: dict[str, object] = {
"product_code": code,
"product_name": str(row["product_name"]),
"exchange_code": str(row["exchange_code"]),
"product_category": str(row["product_category"]),
"risk_level": str(row["risk_level"]),
"lot_size": str(row["lot_size"]),
"min_amount": str(row["min_amount"]),
"live_nav": _text(live_nav),
"live_nav_date": _text(history.get("nav_date")),
"live_change_pct": _text(history.get("daily_change")),
"stored_nav": str(stored_nav),
"stored_nav_at": str(row["current_nav_at"]),
"matches_stored": _same(live_nav, stored_nav),
"degraded": bool(history.get("degraded")),
}
for stored_field, live_field in FEE_STORED_TO_LIVE.items():
record[f"stored_{stored_field}"] = _text(row[stored_field])
record[f"live_{live_field}"] = _text(live_fee.get(live_field))
record["live_service_fee_rate"] = _text(live_fee.get("service_fee_rate"))
record["live_subscribe_fee_rate"] = _text(live_fee.get("subscribe_fee_rate"))
record["live_redeem_fee_rate"] = _text(live_fee.get("redeem_fee_rate"))
record["live_full_name"] = _text(live_fee.get("full_name"))
records.append(record)
return records
def render(records: list[dict[str, object]]) -> None:
ok = [item for item in records if not item["degraded"]]
same = [item for item in ok if item["matches_stored"]]
diff = [item for item in ok if not item["matches_stored"]]
print("=" * 100)
print("净值核对(数据源 vs 库里快照)")
print("=" * 100)
print(f"场内产品 {len(records)} 只;取到真实行情 {len(ok)} 只"
f"(与库里一致 {len(same)}、不一致 {len(diff)})\n")
header = (f"{'代码':<8}{'名称':<26}{'真实净值':>10}{'涨跌%':>8}{'净值日期':>12}"
f" {'库里净值':>11} 核对")
print(header)
print("-" * len(header))
for item in records:
if item["degraded"]:
verdict = "!! 取数失败"
elif item["matches_stored"]:
verdict = "一致"
else:
verdict = "**不一致**"
print(
f"{str(item['product_code']):<8}{str(item['product_name'])[:24]:<26}"
f"{str(item['live_nav']):>10}{str(item['live_change_pct']):>8}"
f"{str(item['live_nav_date']):>12} {str(item['stored_nav']):>11} {verdict}"
)
fee_rows = [item for item in records if item.get("live_management_fee_rate") is not None]
if fee_rows:
print()
print("=" * 100)
print("费率核对(数据源 vs 库里字段)")
print("=" * 100)
fee_header = (f"{'代码':<8}{'名称':<24}{'真实管理费':>11}{'库里':>8}"
f"{'真实托管费':>11}{'库里':>8} 核对")
print(fee_header)
print("-" * len(fee_header))
fee_diff = []
for item in fee_rows:
live_manage = item["live_management_fee_rate"]
stored_manage = item["stored_management_fee_rate"]
if stored_manage is None:
verdict = "库里为空"
elif _same(live_manage, stored_manage) and _same(
item["live_custodian_fee_rate"], item["stored_custodian_fee_rate"]
):
verdict = "一致"
else:
verdict = "**不一致**"
fee_diff.append(item)
print(
f"{str(item['product_code']):<8}{str(item['product_name'])[:22]:<24}"
f"{str(live_manage):>11}{str(stored_manage):>8}"
f"{str(item['live_custodian_fee_rate']):>11}"
f"{str(item['stored_custodian_fee_rate']):>8} {verdict}"
)
empty = [item for item in fee_rows if item["stored_management_fee_rate"] is None]
print(f"\n真实费率全部取到 {len(fee_rows)} 只;库里为空 {len(empty)} 只、"
f"与真实值冲突 {len(fee_diff)} 只")
if diff or fee_diff:
print()
print("需要人工判断的条目(不要直接覆盖):")
for item in diff:
print(f" · 净值 {item['product_code']} {item['product_name']}:"
f"真实 {item['live_nav']}({item['live_nav_date']}) vs "
f"库里 {item['stored_nav']}({item['stored_nav_at']})")
for item in fee_diff:
print(f" · 费率 {item['product_code']} {item['product_name']}:"
f"真实 管理 {item['live_management_fee_rate']} / 托管 "
f"{item['live_custodian_fee_rate']} vs 库里 管理 "
f"{item['stored_management_fee_rate']} / 托管 "
f"{item['stored_custodian_fee_rate']}")
full_names = [
(str(item["product_code"]), item["live_full_name"])
for item in records if item.get("live_full_name")
]
if full_names:
print()
print("数据源返回的基金全称(可用于核对 fund_manager 标注是否正确):")
for code, name in full_names:
print(f" · {code} {name}")
async def main() -> int:
parser = argparse.ArgumentParser(description="拉取场内基金真实行情与费率,核对库里快照")
parser.add_argument("--json", action="store_true", help="只输出 JSON")
parser.add_argument("--no-fees", action="store_true", help="跳过费率抓取(较快)")
args = parser.parse_args()
records = await collect(with_fees=not args.no_fees)
if args.json:
print(json.dumps(records, ensure_ascii=False, indent=1))
else:
render(records)
return 0
if __name__ == "__main__":
sys.exit(asyncio.run(main()))