c2a89d01a4
spec §14 方案A 数据层迁移完成 + E2E 验证(read_db_daily: 在市/退市治偏差/ETF 全OK):
- dbbardata('d') 1826万含退市(治回测幸存者偏差, INSERT OR REPLACE staging迁移, WHERE OHLC NOT NULL+COALESCE)
- constituent_unified 7110行/9指数(300/500/50 baostock全集 + 深证4指 akshare cni union + 中证1000/2000 snapshot)
- pe/pb 不进DB -> valuation_baostock/<year>.parquet 按年宽表(2003-2026)
- 废弃 daily_baostock_full/bs_index_constituent(rename _old 保留); 旧4 schtask disabled
- 新 schtask sanguo-bs-eod 18:05(baostock个股日线+15min+拆pe/pb DAILY_LIMIT 48000) + sanguo-xt-eod 18:40(ETF/基金xtata)
- 权威源: baostock个股日线+估值+15min+复权+300/500/50 / xtata ETF+基金+当天实时 / akshare三表+事件+深证中证成份股
- 全程备份+staging+_old保留可回滚; 脚本 audit/probe/migrate/merge/cleanup/fix_config/verify/bs_eod/xt_eod/wrapper/register_schtasks
- 待办(spec §6 使用层): LocalParquetProvider 接 constituent_unified+valuation_baostock + 实时拼接
131 lines
4.5 KiB
Python
131 lines
4.5 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""xt_eod.py — sanguo-xt-eod (方案A schtask 18:40): xtata ETF/基金 EOD 增量 -> dbbardata('d')。
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baostock 只取 type=1 股票, 不覆盖 ETF/基金 -> xtata 独占 (spec §14)。
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个股日线由 bs_eod (baostock) 灌, 此处不碰个股, 避免 dbbardata 两源冲突。
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- universe = 沪深ETF ∪ 沪深基金
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- download_history_data2 批量 paced -> 本地缓存
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- get_market_data_ex raw(dividend_type=none) -> dbbardata('d') INSERT OR REPLACE
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- volume 手->股 (×100, 与 daily_update_xtdata 同口径)
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- 无限流, 单进程 download 不并发
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用法: python xt_eod.py [--limit N] [--dry-run]
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"""
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import argparse
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import datetime as dt
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import sqlite3
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import time
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from xtquant import xtdata as xd
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import pandas as pd
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DB = r"C:\sanguo_vnpy_v2\data\quant_trading.db"
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LOOKBACK = int(__import__("os").environ.get("LOOKBACK_DAYS", "30"))
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T0 = time.time()
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def log(m):
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print(f"[XT-EOD {time.time()-T0:.0f}s] {m}", flush=True)
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def prefix_of(sym):
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return "sh" if sym[:2] in ("51", "56", "58", "50") else ("sh" if sym[:2] == "60" else "sz")
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def exc_of(sym):
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return "SSE" if sym[:2] in ("51", "56", "58", "50", "60", "68") else "SZSE"
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def main():
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ap = argparse.ArgumentParser()
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ap.add_argument("--limit", type=int, default=0)
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ap.add_argument("--dry-run", action="store_true")
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args = ap.parse_args()
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end = dt.datetime.now().strftime("%Y%m%d")
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start = (dt.datetime.now() - dt.timedelta(days=LOOKBACK)).strftime("%Y%m%d")
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log(f"start window={start}~{end}")
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u = list(set(
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(xd.get_stock_list_in_sector("沪深ETF") or []) +
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(xd.get_stock_list_in_sector("沪深基金") or [])
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))
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if not u:
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log("FATAL empty universe (miniQMT 未连?)")
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return 2
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if args.limit:
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u = u[:args.limit]
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log(f"universe ETF+基金: {len(u)}")
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# download paced
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BATCH = 200
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for i in range(0, len(u), BATCH):
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try:
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xd.download_history_data2(u[i:i+BATCH], "1d", start, end, lambda d, p: None)
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except Exception as e:
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log(f"dl batch@{i} err: {e}")
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time.sleep(1.0)
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log("download done")
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conn = sqlite3.connect(DB, timeout=60)
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conn.execute("PRAGMA busy_timeout = 60000")
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conn.execute("PRAGMA journal_mode = WAL")
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ok = fail = empty = rows = 0
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conn.execute("BEGIN")
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try:
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for i, code in enumerate(u):
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sym = code.split(".")[0]
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try:
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r = xd.get_market_data_ex([], [code], period="1d", start_time=start,
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end_time=end, dividend_type="none")
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df = r.get(code) if r else None
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if df is None or not len(df):
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empty += 1
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continue
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db = pd.DataFrame({
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"symbol": sym,
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"exchange": exc_of(sym),
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"datetime": [str(idx)[:4]+"-"+str(idx)[4:6]+"-"+str(idx)[6:8]+" 00:00:00"
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for idx in df.index],
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"interval": "d",
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"volume": (df["volume"].astype(float).values * 100),
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"turnover": df["amount"].astype(float).values,
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"open_interest": 0.0,
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"open_price": df["open"].astype(float).values,
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"high_price": df["high"].astype(float).values,
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"low_price": df["low"].astype(float).values,
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"close_price": df["close"].astype(float).values,
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})
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if not args.dry_run:
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conn.executemany(
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"INSERT OR REPLACE INTO dbbardata "
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"(symbol,exchange,datetime,interval,volume,turnover,open_interest,"
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"open_price,high_price,low_price,close_price) VALUES (?,?,?,?,?,?,?,?,?,?,?)",
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db.itertuples(index=False, name=None))
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rows += len(db)
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ok += 1
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except Exception as e:
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fail += 1
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if fail <= 5:
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log(f"{code} err: {e}")
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if (i+1) % 200 == 0:
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log(f"进度 {i+1}/{len(u)} ok={ok} empty={empty} fail={fail} rows={rows}")
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conn.execute("COMMIT")
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except Exception as e:
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conn.execute("ROLLBACK")
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log(f"FATAL rollback: {e}")
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conn.close()
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return 1
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conn.close()
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log(f"DONE ok={ok} empty={empty} fail={fail} rows={rows}"
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f"{' [DRY-RUN]' if args.dry_run else ''}")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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