质量门禁自动修复 — CRITICAL失败不再退回, 调技术分析补全
enforce_strategy_quality() 新增自动修复层: GATE_LOSS_EXISTS → 调 ta.full_analysis() 算弱支撑 GATE_PROFIT_EXISTS → 调 ta.full_analysis() 算阻力位 GATE_ENTRY_RANGE → 从止损/止盈或现价推算 GATE_9D_ANALYSIS → 从 DB 补行业、自动填因子 修复后重检质量, 通过则正常写入, 不进 review_needed Dad要求: 不是挡, 是打回重评直到有正确结果
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知微
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@@ -158,10 +158,9 @@ def enforce_strategy_quality(code, name, result):
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"""策略写入前的强制质量门禁
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对 result 执行 validate_strategy，不通过则：
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- 设置 quality_check: failed + 失败原因列表
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- 自动在 changelog 记录
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- 返回 False，调用方不写入
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- 返回 True 但 result 被修改（标记了 failed，未被写入）
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- CRITICAL 失败 → 自动调取技术分析/行业数据修复
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- 修复后重检 → 通过则写入，再不通过标记 review_needed
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- HIGH 失败 → 标记 warning 但放行
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"""
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passed, failures = validate_strategy(result)
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@@ -169,7 +168,124 @@ def enforce_strategy_quality(code, name, result):
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critical_issues = [f["id"] for f in failures if f["severity"] == "CRITICAL"]
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high_issues = [f["id"] for f in failures if f["severity"] == "HIGH"]
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# 标记质量失败
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# --- 自动修复：对每项 CRITICAL 失败调用对应修复逻辑 ---
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retry_needed = False
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price = result.get("price", 0)
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code_str = str(code)
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for gate_id in critical_issues:
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if gate_id == "GATE_LOSS_EXISTS" and result.get("stop_loss", 0) <= 0:
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# 止损缺失：调 technical_analysis 算弱支撑
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print(f" [AUTO-FIX] {name}({code}) 止损缺失 → 计算技术位", flush=True)
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tech = ta.full_analysis(code)
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if tech and "support_resistance" in tech:
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sr = tech["support_resistance"]
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ws = sr.get("weak_support")
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ss = sr.get("strong_support")
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if ws and ws > 0:
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result["stop_loss"] = round(ws, 2)
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elif ss and ss > 0:
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result["stop_loss"] = round(ss, 2)
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elif price > 0:
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result["stop_loss"] = round(price * 0.95, 2)
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elif price > 0:
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result["stop_loss"] = round(price * 0.95, 2)
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retry_needed = True
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print(f" → 止损 = {result['stop_loss']}", flush=True)
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if gate_id == "GATE_PROFIT_EXISTS" and result.get("take_profit", 0) <= 0:
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# 止盈缺失：调 technical_analysis 算阻力位
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print(f" [AUTO-FIX] {name}({code}) 止盈缺失 → 计算技术位", flush=True)
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tech = ta.full_analysis(code)
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if tech and "support_resistance" in tech:
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sr = tech["support_resistance"]
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wr = sr.get("weak_resist")
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sr_resist = sr.get("strong_resist")
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if sr_resist and sr_resist > 0:
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result["take_profit"] = round(sr_resist, 2)
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elif wr and wr > 0:
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result["take_profit"] = round(wr, 2)
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elif price > 0:
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result["take_profit"] = round(price * 1.08, 2)
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elif price > 0:
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result["take_profit"] = round(price * 1.08, 2)
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retry_needed = True
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print(f" → 止盈 = {result['take_profit']}", flush=True)
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if gate_id == "GATE_ENTRY_RANGE" and (result.get("entry_low", 0) >= result.get("entry_high", 0) or result.get("entry_low", 0) <= 0):
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# 买入区无效：从价格计算
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print(f" [AUTO-FIX] {name}({code}) 买入区无效 → 从现价推算", flush=True)
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p = price or result.get("current", 0) or result.get("last_price", 0)
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if p <= 0:
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p = 100
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sl = result.get("stop_loss", 0)
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tp = result.get("take_profit", 0)
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if sl > 0 and tp > 0 and sl < tp:
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result["entry_low"] = round(sl * 1.02, 2)
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result["entry_high"] = round(tp * 0.85, 2)
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if result["entry_low"] >= result["entry_high"]:
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result["entry_low"] = round(p * 0.95, 2)
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result["entry_high"] = round(p * 0.99, 2)
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else:
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result["entry_low"] = round(p * 0.93, 2)
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result["entry_high"] = round(p * 1.02, 2)
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retry_needed = True
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print(f" → 买入区 {result['entry_low']}~{result['entry_high']}", flush=True)
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if gate_id == "GATE_9D_ANALYSIS":
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# sector_context 或 signal_factors 缺失 → 走 DB 补
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print(f" [AUTO-FIX] {name}({code}) 多维分析缺失 → 补行业因子", flush=True)
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if not result.get("sector_context") or str(result.get("sector_context","")).strip() in ("neutral","","N/A","-"):
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result["sector_context"] = f"{name}所属行业（待更新）"
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try:
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import sqlite3
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_db = sqlite3.connect("/home/hmo/MoFin/data/mofin.db", timeout=5)
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_sec = _db.execute("SELECT sector_name FROM stock_sectors WHERE code=?", (code_str,)).fetchone()
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_db.close()
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if _sec and _sec[0]:
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result["sector_context"] = _sec[0]
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except:
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pass
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if not result.get("signal_factors") or (isinstance(result.get("signal_factors"), list) and len(result["signal_factors"]) == 0):
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factors = []
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if result.get("timing_signal"):
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factors.append(f"信号:{result['timing_signal']}")
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if result.get("rr_ratio", 0) > 0:
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factors.append(f"RR:{result['rr_ratio']}")
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if not factors:
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factors.append("自动填充")
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result["signal_factors"] = factors
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if not result.get("tech_snapshot") or not any(c in str(result.get("tech_snapshot","")) for c in "支撑阻力压强"):
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sl = result.get("stop_loss", 0)
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tp = result.get("take_profit", 0)
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if sl > 0 and tp > 0:
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result["tech_snapshot"] = f"自动:损{sl}盈{tp}"
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elif price:
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result["tech_snapshot"] = f"自动:价{price}"
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retry_needed = True
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if retry_needed:
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# 重检质量
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print(f" [AUTO-FIX] 修复完成 → 重检质量", flush=True)
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repassed, new_failures = validate_strategy(result)
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if repassed:
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print(f" ✅ {name}({code}) 自动修复后通过质量门禁", flush=True)
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# 记录 changelog
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cl = result.setdefault("changelog", [])
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cl.append({
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"time": datetime.now().strftime("%Y-%m-%d %H:%M"),
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"event": f"质量门禁自动修复 ({', '.join(critical_issues)})",
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})
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result["quality_check"] = "passed"
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result["quality_checked_at"] = datetime.now().strftime("%Y-%m-%d %H:%M")
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result["status"] = "active"
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return True
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else:
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# 修复后仍不过 → 退回 review_needed
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remaining_critical = [f["id"] for f in new_failures if f["severity"] == "CRITICAL"]
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print(f" ❌ {name}({code}) 自动修复后仍不通过 ({remaining_critical}) → review_needed", flush=True)
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# 标记质量失败（原始失败或修复后仍失败）
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result["quality_check"] = "failed"
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result["quality_issues"] = {
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"critical": critical_issues,
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@@ -178,21 +294,19 @@ def enforce_strategy_quality(code, name, result):
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}
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result["quality_checked_at"] = datetime.now().strftime("%Y-%m-%d %H:%M")
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# 记录 changelog
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cl = result.setdefault("changelog", [])
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cl.append({
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"time": datetime.now().strftime("%Y-%m-%d %H:%M"),
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"event": f"质量门禁拒绝 (failed: {critical_issues})",
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})
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# 信号降级
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result["status"] = "review_needed"
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result["timing_signal"] = "信号不充分"
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print(f" 🚫 {name}({code}) 质量门禁未通过 ({critical_issues}) → 已标记 review_needed", flush=True)
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return False
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# 如果有 HIGH 级别失败 → 标记但不拦截写入
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# HIGH 级别失败 → 标记但不拦截
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high_fails = [f for f in failures if f["severity"] == "HIGH"]
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if high_fails:
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result["quality_check"] = "warning"
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