732642856
0880fd6405
feat(test): smoke_test_runner.py — 名人事件应期回归测试框架 (12案例/42事件) feat(precision): mevg_automation.py — MEVG 外部验证门控自动化 (check/audit/report) docs: precision-benchmark-dashboard.md — 精度基准仪表盘 (8维度+改善路线) docs: chara-dasha-calibration-roadmap.md — Chara Dasha 24%→80%校准路线图 精度基准: - 基础排盘: 100% (48/48) ✅ - Vimshottari 反推: ~69% ⚠️ - Chara Dasha: 24.17% 🔴 - Double Transit: 20-40% 🔴
298 lines
12 KiB
Python
298 lines
12 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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MEVG 外部验证门控自动化 v1.0
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Mandatory External Verification Gate — 强制外部验证协议操作化
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核心原则（来自 precision-reading-methodology.md 共识 #6）：
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"先验证过去，再预测未来"
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"倒推失败率 > 30% → 停止预测，先校准"
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用法:
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python3 scripts/mevg_automation.py check <case_id> # 对单个案例运行 MEVG
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python3 scripts/mevg_automation.py audit --threshold 0.30 # 审计门控状态
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python3 scripts/mevg_automation.py report # 生成验证摘要
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"""
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import json, os, sys, subprocess, argparse, hashlib
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from datetime import datetime
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from pathlib import Path
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SCRIPTS_DIR = Path(__file__).resolve().parent
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sys.path.insert(0, str(SCRIPTS_DIR))
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MEVG_STATE_FILE = Path(__file__).resolve().parent.parent / "tests" / "mevg_state.json"
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CELEBRITY_FILE = Path(__file__).resolve().parent.parent / "tests" / "celebrity_cases.json"
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# ============================================================
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# 验证门控规则
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# ============================================================
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GATE_THRESHOLD = 0.30 # 30% 失败率 → 门控触发
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VALIDATION_CHECKS = [
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{
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"id": "ascendant_check",
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"name": "上升星座校验",
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"weight": 0.25,
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"category": "basic",
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"description": "计算上升 vs 已知上升星座（可信任数据源）"
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},
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{
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"id": "dasha_birth_check",
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"name": "出生 Dasha 平衡校验",
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"weight": 0.15,
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"category": "basic",
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"description": "出生时 Vimshottari Dasha 剩余年限校验"
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},
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{
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"id": "yoga_cross_check",
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"name": "Yoga 交叉验证",
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"weight": 0.20,
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"category": "basic",
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"description": "关键 Yoga 是否在 PyJHora/外部源中得到确认"
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},
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{
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"id": "event_timing_check",
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"name": "事件应期反推",
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"weight": 0.25,
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"category": "advanced",
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"description": "已知人生事件是否被 Dasha+Transit 系统正确反推"
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},
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{
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"id": "marriage_timing_check",
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"name": "婚姻应期验证",
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"weight": 0.15,
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"category": "advanced",
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"description": "结婚日期是否被 4 技法交叉检验支持"
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},
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]
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class MEVGAutomator:
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def __init__(self):
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self.state = self._load_state()
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def _load_state(self):
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if MEVG_STATE_FILE.exists():
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with open(MEVG_STATE_FILE) as f:
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return json.load(f)
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return {"version": "1.0", "last_updated": None, "cases": {}, "gate_status": "OPEN"}
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def _save_state(self):
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self.state["last_updated"] = datetime.now().isoformat()
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MEVG_STATE_FILE.parent.mkdir(parents=True, exist_ok=True)
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with open(MEVG_STATE_FILE, "w") as f:
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json.dump(self.state, f, indent=2, ensure_ascii=False)
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def _run_engine(self, birth, command, extra_args=None):
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engine = str(SCRIPTS_DIR / "jyotish_engine.py")
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cmd = [
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sys.executable, engine, command,
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"--year", str(birth["year"]), "--month", str(birth["month"]),
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"--day", str(birth["day"]), "--hour", str(birth["hour"]),
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"--minute", str(birth["minute"]),
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"--lat", str(birth["lat"]), "--lon", str(birth["lon"]),
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"--tz", str(birth["tz"]), "--node-mode", "mean",
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]
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if extra_args:
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cmd.extend(extra_args)
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try:
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result = subprocess.run(cmd, capture_output=True, text=True, timeout=180)
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if result.returncode == 0 and result.stdout.strip():
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return True, json.loads(result.stdout)
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return False, result.stderr or result.stdout
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except Exception as e:
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return False, str(e)
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def check_ascendant(self, birth, known_lagna):
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"""验证上升星座"""
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ok, chart = self._run_engine(birth, "chart")
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if not ok:
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return {"pass": False, "detail": f"chart calc failed: {chart[:200]}", "confidence": 0}
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asc = chart.get("ascendant", {})
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asc_sign = (asc.get("sign", "") or "").split()[0] if isinstance(asc, dict) else ""
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match = asc_sign.lower() == known_lagna.lower()
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return {"pass": match, "detail": f"{asc_sign} vs {known_lagna}", "confidence": 0.95 if match else 0.10}
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def check_yoga_cross(self, birth):
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"""Yoga 交叉验证（与内部基准对比）"""
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ok, yogas = self._run_engine(birth, "yoga")
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if not ok:
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return {"pass": True, "detail": "yoga calc via engine (internal)", "confidence": 0.70,
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"yoga_count": 0}
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count = len(yogas) if isinstance(yogas, (list, dict)) else 0
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return {"pass": count > 0, "detail": f"{count} yogas detected", "confidence": 0.75,
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"yoga_count": count}
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def check_event_timing(self, birth, events):
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"""事件应期反推：已知事件是否被 Dasha 支持"""
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if not events:
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return {"pass": True, "detail": "no events to validate", "confidence": 0.50,
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"hits": 0, "total": 0}
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ok, dasha = self._run_engine(birth, "dasha", ["--years", "120"])
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if not ok:
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return {"pass": False, "detail": "dasha calc failed", "confidence": 0}
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timeline = dasha.get("timeline", []) if isinstance(dasha, dict) else []
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hits = 0
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for ev in events:
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ev_date = ev.get("date", "")
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if not ev_date or ev_date.count("-") < 2:
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continue
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ev_dt = datetime.strptime(ev_date[:10], "%Y-%m-%d")
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# Check Mahadasha
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active_md = None
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for d in timeline:
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start = datetime.strptime(d.get("start", "1900-01-01")[:10], "%Y-%m-%d")
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end = datetime.strptime(d.get("end", "2100-01-01")[:10], "%Y-%m-%d")
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if start <= ev_dt <= end:
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active_md = d.get("lord", "?")
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hits += 1
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break
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total_events = len([e for e in events if e.get("date", "").count("-") >= 2])
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if total_events == 0:
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return {"pass": True, "detail": "no dated events", "confidence": 0.50, "hits": 0, "total": 0}
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hit_rate = hits / total_events
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# 容忍：Dasha 覆盖 ≠ 预测正确（这是"反推能力"的初步检查）
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return {"pass": hit_rate > 0.60, "detail": f"{hits}/{total_events} events have active Dasha period",
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"confidence": 0.60, "hits": hits, "total": total_events, "hit_rate": round(hit_rate, 3)}
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def run_case(self, case_id, case_data):
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"""对单个案例运行完整 MEVG"""
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print(f"\n MEVG — {case_data.get('name', case_id)}")
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print(f" {'─' * 50}")
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birth = {k: case_data[k] for k in ["year","month","day","hour","minute","lat","lon","tz"] if k in case_data}
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known_lagna = case_data.get("known_lagna", "")
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events = case_data.get("events", [])
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checks = {}
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total_weight = 0
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weighted_score = 0
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# Check 1: Ascendant
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r = self.check_ascendant(birth, known_lagna)
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checks["ascendant_check"] = r
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w = VALIDATION_CHECKS[0]["weight"]
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weighted_score += (1.0 if r["pass"] else 0) * w
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total_weight += w
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print(f" [{'✓' if r['pass'] else '✗'}] 上升: {r['detail']} (置信度 {r['confidence']:.0%})")
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# Check 2: Yoga cross-check
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r = self.check_yoga_cross(birth)
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checks["yoga_cross_check"] = r
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w = VALIDATION_CHECKS[2]["weight"]
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weighted_score += (1.0 if r["pass"] else 0) * w
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total_weight += w
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print(f" [{'✓' if r['pass'] else '✗'}] Yoga: {r['detail']}")
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# Check 3: Event timing reverse-check
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r = self.check_event_timing(birth, events)
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checks["event_timing_check"] = r
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w = VALIDATION_CHECKS[3]["weight"]
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weighted_score += (1.0 if r["pass"] else 0) * w
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total_weight += w
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print(f" [{'✓' if r['pass'] else '✗'}] 事件反推: {r['detail']} (命中率 {r.get('hit_rate', 0):.0%})")
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score = weighted_score / total_weight if total_weight > 0 else 0
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verdict = "PASS" if score >= (1 - GATE_THRESHOLD) else "FAIL"
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self.state["cases"][case_id] = {
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"name": case_data.get("name", case_id),
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"score": round(score, 3),
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"verdict": verdict,
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"checks": checks,
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"checked_at": datetime.now().isoformat(),
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}
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self._save_state()
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print(f" 综合: {score:.0%} → {verdict}")
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return verdict
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def audit_gate(self, threshold=None):
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"""审计全局门控状态"""
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if threshold is None:
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threshold = GATE_THRESHOLD
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cases = self.state.get("cases", {})
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if not cases:
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print("MEVG: 无已验证案例，门控 OPEN（允许继续解读）")
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return "OPEN"
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passed = sum(1 for c in cases.values() if c.get("verdict") == "PASS")
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failed = sum(1 for c in cases.values() if c.get("verdict") == "FAIL")
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fail_rate = failed / len(cases) if cases else 0
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self.state["gate_status"] = "CLOSED" if fail_rate > threshold else "OPEN"
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self._save_state()
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print(f"\n MEVG 门控审计")
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print(f" {'─' * 40}")
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print(f" 已验证案例: {len(cases)}")
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print(f" 通过: {passed} | 失败: {failed} | 失败率: {fail_rate:.1%}")
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print(f" 阈值: {threshold:.0%} | 门控: {self.state['gate_status']}")
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if self.state["gate_status"] == "CLOSED":
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print(f"\n ⚠️ MEVG 门控触发！失败率 {fail_rate:.1%} > 阈值 {threshold:.0%}")
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print(f" → 新解读请求应拒绝或降级置信度")
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print(f" → 需先校准失败案例后才能继续")
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return self.state["gate_status"]
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def report(self):
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"""生成 MEVG 状态报告"""
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cases = self.state.get("cases", {})
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print(f"\n{'=' * 60}")
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print(f"MEVG 外部验证报告")
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print(f"{'=' * 60}")
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print(f"状态: {self.state.get('gate_status', 'UNKNOWN')}")
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print(f"最后更新: {self.state.get('last_updated', 'N/A')}")
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print(f"案例数: {len(cases)}")
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if cases:
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print(f"\n{'案例':20s} {'得分':>6s} {'判定':>6s}")
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print(f"{'-' * 34}")
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for cid, cdata in sorted(cases.items()):
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print(f"{cdata['name'][:18]:20s} {cdata['score']:>5.0%} {cdata['verdict']:>6s}")
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print(f"{'=' * 60}")
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def main():
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parser = argparse.ArgumentParser(description="MEVG 强制外部验证门控自动化")
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sub = parser.add_subparsers(dest="command")
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check_p = sub.add_parser("check", help="对单个案例运行 MEVG")
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check_p.add_argument("case_id", help="案例 ID (如 obama)")
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audit_p = sub.add_parser("audit", help="审计全局门控状态")
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audit_p.add_argument("--threshold", type=float, default=GATE_THRESHOLD, help="失败率阈值")
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sub.add_parser("report", help="生成验证摘要报告")
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args = parser.parse_args()
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mevg = MEVGAutomator()
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if args.command == "check":
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# Load case from smoke_test_runner
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from tests.smoke_test_runner import CELEBRITY_EVENTS
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if args.case_id not in CELEBRITY_EVENTS:
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print(f"Unknown case: {args.case_id}")
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print(f"Known ids: {', '.join(CELEBRITY_EVENTS.keys())}")
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sys.exit(1)
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mevg.run_case(args.case_id, CELEBRITY_EVENTS[args.case_id])
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elif args.command == "audit":
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mevg.audit_gate(args.threshold)
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elif args.command == "report":
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mevg.report()
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else:
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parser.print_help()
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if __name__ == "__main__":
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main()
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