66 lines
2.5 KiB
Python
66 lines
2.5 KiB
Python
#!/usr/bin/env python3
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"""审计 AlphaX 技术/消息触发时效，防止旧形态冒充当下交易机会。"""
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import json
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import os
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import sqlite3
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[1]
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DB = Path(os.getenv("ALPHAX_DB_PATH", str(ROOT / "data" / "altcoin_monitor.db")))
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conn = sqlite3.connect(DB)
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conn.row_factory = sqlite3.Row
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errors = []
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warnings = []
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def parse_json(v):
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try:
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if isinstance(v, dict):
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return v
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if v:
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return json.loads(v)
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except Exception:
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pass
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return {}
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def add(kind, rule, row):
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(errors if kind == "error" else warnings).append({"rule": rule, "row": row})
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rows = conn.execute("""
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SELECT id,symbol,rec_state,action_status,execution_status,display_bucket,signals,market_context_json,sector_context_json,entry_plan_json,rec_time
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FROM recommendation
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WHERE status='active' AND COALESCE(display_bucket,'watch_pool')!='history'
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ORDER BY id DESC
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""").fetchall()
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for r in rows:
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d = dict(r)
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market = parse_json(d.get("market_context_json"))
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sector = parse_json(d.get("sector_context_json"))
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ep = parse_json(d.get("entry_plan_json"))
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tc = market.get("trigger_context") or sector.get("trigger_context") or ep.get("trigger_context") or {}
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sig_text = d.get("signals") or ""
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if d.get("execution_status") == "buy_now":
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if not tc:
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add("warning", "buy_now_missing_trigger_context", {k:d.get(k) for k in ("id","symbol","rec_time","action_status")})
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elif tc.get("trigger_status") == "stale_background_only":
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add("error", "buy_now_from_stale_background", {"id": d["id"], "symbol": d["symbol"], "trigger_context": tc})
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if "历史" in sig_text and "已过期" in sig_text and d.get("execution_status") == "buy_now":
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current = (tc.get("current_triggers") or []) if isinstance(tc, dict) else []
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if not current:
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add("error", "stale_signal_buy_now_without_current_trigger", {"id": d["id"], "symbol": d["symbol"], "signals": sig_text[:300]})
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if "event_title" in sector or "event_source" in market:
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if not tc and not (sector.get("trigger_context") or market.get("trigger_context")):
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add("warning", "event_recommendation_missing_event_marker", {"id": d["id"], "symbol": d["symbol"], "sector_context": sector, "market_context": market})
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summary = {
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"active_checked": len(rows),
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"errors": errors,
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"warnings": warnings,
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}
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print(json.dumps(summary, ensure_ascii=False, indent=2))
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conn.close()
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if errors:
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raise SystemExit(1)
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