feat(ECR-009): Crypto Wyckoff Screener 独立页(D/W/M)
移植 A_Share_DP 引擎;本地缓存与 60s tip;月线由日线 UTC 聚合;不碰主站 analyze/缠论叠层。 Co-authored-by: Cursor <cursoragent@cursor.com>
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"""Paths + OHLCV cache + DATA_SERVICE fetch (crypto continuous calendar)."""
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from __future__ import annotations
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import json
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import logging
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import os
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import sqlite3
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import time
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from datetime import date, datetime, timezone
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from pathlib import Path
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from typing import Iterable
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import requests
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from crypto_wyckoff.domain_models import OHLCVFrame
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logger = logging.getLogger(__name__)
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_REPO_ROOT = Path(__file__).resolve().parents[1]
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DATA_DIR = Path(os.environ.get("CRYPTO_WYCKOFF_DATA", str(_REPO_ROOT / "data" / "crypto_wyckoff")))
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BARS_DB = DATA_DIR / "bars.sqlite"
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SCAN_DB = DATA_DIR / "scan.sqlite"
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DATA_SERVICE_URL = os.environ.get(
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"DATA_SERVICE_URL",
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os.environ.get("DATASVC_URL", "https://provider.jackyu66.com"),
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).rstrip("/")
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# Continuous crypto: bar counts (not A-share weekend-padded calendar multipliers)
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# Provider has 1d/1w but no 1M — monthly is resampled locally from daily UTC months.
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LOOKBACK = {"1d": 250, "1w": 104, "1M": 60}
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TF_PROVIDER = ("1d", "1w")
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TF_LIST = ("1d", "1w", "1M")
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def ensure_dirs() -> None:
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DATA_DIR.mkdir(parents=True, exist_ok=True)
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def _symbol_key(symbol: str) -> str:
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return symbol.replace("/", "_").replace(":", "_")
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def _bars_conn() -> sqlite3.Connection:
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ensure_dirs()
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conn = sqlite3.connect(str(BARS_DB), timeout=60)
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conn.execute(
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"""
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CREATE TABLE IF NOT EXISTS bars (
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symbol TEXT NOT NULL,
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tf TEXT NOT NULL,
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ts INTEGER NOT NULL,
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open REAL, high REAL, low REAL, close REAL, volume REAL,
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PRIMARY KEY (symbol, tf, ts)
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)
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"""
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)
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conn.execute("CREATE INDEX IF NOT EXISTS idx_bars_sym_tf ON bars(symbol, tf)")
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return conn
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def fetch_candles(
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symbol: str,
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tf: str,
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*,
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limit: int | None = None,
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start_ms: int | None = None,
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end_ms: int | None = None,
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timeout: float = 15.0,
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) -> list[dict]:
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params: dict = {"symbol": symbol, "tf": tf}
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if limit is not None:
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params["limit"] = int(limit)
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if start_ms is not None:
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params["start"] = int(start_ms)
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if end_ms is not None:
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params["end"] = int(end_ms)
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resp = requests.get(f"{DATA_SERVICE_URL}/api/candles", params=params, timeout=timeout)
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resp.raise_for_status()
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data = resp.json()
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if not isinstance(data, list):
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return []
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out = []
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for row in data:
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try:
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ts = int(float(row["timestamp"]))
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out.append(
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{
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"ts": ts,
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"open": float(row["open"]),
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"high": float(row["high"]),
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"low": float(row["low"]),
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"close": float(row["close"]),
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"volume": float(row.get("volume") or 0),
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}
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)
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except (KeyError, TypeError, ValueError):
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continue
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out.sort(key=lambda r: r["ts"])
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return out
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def upsert_bars(symbol: str, tf: str, rows: list[dict]) -> int:
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if not rows:
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return 0
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conn = _bars_conn()
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try:
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conn.executemany(
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"""
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INSERT INTO bars(symbol, tf, ts, open, high, low, close, volume)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?)
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ON CONFLICT(symbol, tf, ts) DO UPDATE SET
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open=excluded.open, high=excluded.high, low=excluded.low,
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close=excluded.close, volume=excluded.volume
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""",
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[
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(symbol, tf, r["ts"], r["open"], r["high"], r["low"], r["close"], r["volume"])
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for r in rows
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],
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)
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conn.commit()
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return len(rows)
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finally:
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conn.close()
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def load_frame(symbol: str, tf: str, lookback: int | None = None) -> OHLCVFrame | None:
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lookback = lookback or LOOKBACK.get(tf, 100)
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conn = _bars_conn()
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try:
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cur = conn.execute(
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"""
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SELECT ts, open, high, low, close, volume FROM bars
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WHERE symbol=? AND tf=?
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ORDER BY ts DESC LIMIT ?
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""",
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(symbol, tf, lookback),
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)
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rows = list(reversed(cur.fetchall()))
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finally:
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conn.close()
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if not rows:
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return None
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trade_dates: list[date] = []
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for ts, *_ in rows:
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trade_dates.append(datetime.fromtimestamp(ts / 1000.0, tz=timezone.utc).date())
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return OHLCVFrame(
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ts_code=symbol,
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timeframe=tf,
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trade_dates=trade_dates,
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open=[r[1] for r in rows],
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high=[r[2] for r in rows],
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low=[r[3] for r in rows],
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close=[r[4] for r in rows],
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volume=[r[5] for r in rows],
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)
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def bar_count(symbol: str, tf: str) -> int:
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conn = _bars_conn()
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try:
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cur = conn.execute(
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"SELECT COUNT(*) FROM bars WHERE symbol=? AND tf=?", (symbol, tf)
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)
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return int(cur.fetchone()[0])
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finally:
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conn.close()
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def rebuild_monthly_from_daily(symbol: str) -> int:
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"""Aggregate UTC calendar-month OHLCV from local daily bars (provider has no 1M)."""
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conn = _bars_conn()
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try:
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cur = conn.execute(
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"""
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SELECT ts, open, high, low, close, volume FROM bars
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WHERE symbol=? AND tf='1d' ORDER BY ts ASC
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""",
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(symbol,),
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)
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daily = cur.fetchall()
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finally:
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conn.close()
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if not daily:
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return 0
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months: dict[tuple[int, int], dict] = {}
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for ts, o, h, l, c, v in daily:
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dt = datetime.fromtimestamp(ts / 1000.0, tz=timezone.utc)
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key = (dt.year, dt.month)
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# month bar open timestamp = first day 00:00 UTC
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month_ts = int(datetime(dt.year, dt.month, 1, tzinfo=timezone.utc).timestamp() * 1000)
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if key not in months:
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months[key] = {
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"ts": month_ts,
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"open": o,
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"high": h,
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"low": l,
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"close": c,
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"volume": v or 0.0,
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}
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else:
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m = months[key]
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m["high"] = max(m["high"], h)
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m["low"] = min(m["low"], l)
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m["close"] = c
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m["volume"] = (m["volume"] or 0) + (v or 0)
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rows = sorted(months.values(), key=lambda r: r["ts"])
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# drop stale months then upsert
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conn = _bars_conn()
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try:
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conn.execute("DELETE FROM bars WHERE symbol=? AND tf='1M'", (symbol,))
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conn.commit()
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finally:
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conn.close()
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return upsert_bars(symbol, "1M", rows)
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def backfill_symbol(symbol: str, tfs: Iterable[str] = TF_LIST) -> dict:
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"""Pull history for continuous crypto TFs; monthly derived from daily."""
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stats = {}
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for tf in TF_PROVIDER:
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if tf not in tfs and "1M" not in tfs:
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continue
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need = LOOKBACK.get(tf, 100)
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# need extra daily for monthly history
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if tf == "1d":
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need = max(need, LOOKBACK["1M"] * 31)
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try:
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rows = fetch_candles(symbol, tf, limit=need)
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n = upsert_bars(symbol, tf, rows)
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stats[tf] = n
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except Exception as e:
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logger.warning("backfill %s %s failed: %s", symbol, tf, e)
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stats[tf] = 0
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time.sleep(0.05)
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if "1M" in tfs or True:
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try:
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stats["1M"] = rebuild_monthly_from_daily(symbol)
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except Exception as e:
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logger.warning("monthly rebuild %s failed: %s", symbol, e)
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stats["1M"] = 0
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return stats
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def tip_update_symbol(symbol: str, tfs: Iterable[str] = TF_LIST) -> bool:
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"""Update forming tip bars (limit=3). Returns True if any bar changed."""
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changed = False
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for tf in TF_PROVIDER:
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try:
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rows = fetch_candles(symbol, tf, limit=3)
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if not rows:
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continue
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before = _tip_fingerprint(symbol, tf)
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upsert_bars(symbol, tf, rows)
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after = _tip_fingerprint(symbol, tf)
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if before != after:
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changed = True
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except Exception as e:
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logger.debug("tip %s %s: %s", symbol, tf, e)
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time.sleep(0.02)
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# Always rebuild current month tip from daily
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before_m = _tip_fingerprint(symbol, "1M")
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try:
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rebuild_monthly_from_daily(symbol)
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except Exception as e:
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logger.debug("monthly tip %s: %s", symbol, e)
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after_m = _tip_fingerprint(symbol, "1M")
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if before_m != after_m:
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changed = True
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return changed
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def _tip_fingerprint(symbol: str, tf: str) -> tuple | None:
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conn = _bars_conn()
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try:
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cur = conn.execute(
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"""
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SELECT ts, open, high, low, close, volume FROM bars
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WHERE symbol=? AND tf=? ORDER BY ts DESC LIMIT 1
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""",
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(symbol, tf),
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)
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row = cur.fetchone()
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return tuple(row) if row else None
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finally:
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conn.close()
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def fetch_symbols_from_provider() -> list[str]:
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try:
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resp = requests.get(f"{DATA_SERVICE_URL}/health", timeout=8)
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resp.raise_for_status()
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payload = resp.json()
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symbols = payload.get("symbols") or payload.get("symbol_list") or []
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return [s for s in symbols if isinstance(s, str)]
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except Exception as e:
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logger.warning("health symbols failed: %s", e)
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return []
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