Ported verbatim from the upstream skill repo (yinduzhanxing e9beae6b) with product authorization 2026-10-02: scripts/functional_benefics.py, scripts/pancha_mahapurusha.py, references/functional-role-profile.md; only the two functional-role methods of scripts/yoga_engine.py (our file diverged). v5 77-case rectification eval: 5 cells up (to +7.8pp), one cell -1.3pp (one case); product accepted. Rectification memoization golden still to be regenerated (scores change with the grouping). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01N4f2nya58RoRu4yEmJgRGE
185 lines
6.3 KiB
Python
185 lines
6.3 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Pancha Mahapurusha Yoga(五王瑜伽)完整检测模块 v1.0
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基于BPHS和dashaflow (MIT) detect_yogas核心算法
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五种瑜伽:
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- Ruchaka Yoga (Mars)
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- Bhadra Yoga (Mercury)
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- Hamsa Yoga (Jupiter)
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- Malavya Yoga (Venus)
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- Shasha Yoga (Saturn)
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含完整的燃烧(Combustion)/逆行(Retrograde)/受克(Affliction)失效条件检测
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"""
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from typing import Dict, List, Optional
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SIGNS = ['Aries', 'Taurus', 'Gemini', 'Cancer', 'Leo', 'Virgo',
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'Libra', 'Scorpio', 'Sagittarius', 'Capricorn', 'Aquarius', 'Pisces']
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KENDRA_HOUSES = {1, 4, 7, 10}
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MAHAPURUSHA_PLANETS = {"Mars", "Mercury", "Jupiter", "Venus", "Saturn"}
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MAHAPURUSHA_NAMES = {
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"Mars": "Ruchaka Yoga",
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"Mercury": "Bhadra Yoga",
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"Jupiter": "Hamsa Yoga",
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"Venus": "Malavya Yoga",
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"Saturn": "Shasha Yoga",
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}
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MAHAPURUSHA_EFFECTS = {
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"Ruchaka": "军事领袖、建筑大师、体魄强健、勇敢果断",
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"Bhadra": "演说家、学者、机智聪慧、商业头脑",
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"Hamsa": "精神导师、哲学家、富足慷慨、智慧卓越",
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"Malavya": "艺术家、享乐者、魅力超凡、审美敏锐",
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"Shasha": "政治家、长者、坚韧执着、权威地位",
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}
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EXALTATION = {'Sun':('Aries',10),'Moon':('Taurus',3),'Mars':('Capricorn',28),'Mercury':('Virgo',15),'Jupiter':('Cancer',5),'Venus':('Pisces',27),'Saturn':('Libra',20)}
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OWN_SIGNS = {'Sun':{'Leo'},'Moon':{'Cancer'},'Mars':{'Aries','Scorpio'},'Mercury':{'Gemini','Virgo'},'Jupiter':{'Sagittarius','Pisces'},'Venus':{'Taurus','Libra'},'Saturn':{'Capricorn','Aquarius'}}
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# Combustion orb (degrees from Sun)
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COMBUSTION_ORB = {'Mars':17,'Mercury':12,'Jupiter':11,'Venus':10,'Saturn':15}
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NATURAL_MALEFICS = {"Saturn", "Mars", "Sun", "Rahu", "Ketu"}
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def _is_exalted_or_own(planet: str, sign: str) -> bool:
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if planet in EXALTATION and EXALTATION[planet][0] == sign:
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return True
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if planet in OWN_SIGNS and sign in OWN_SIGNS[planet]:
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return True
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return False
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def _is_combust(planet: str, planet_degree: float, sun_degree: float) -> bool:
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"""检查行星是否被太阳燃烧"""
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orb = COMBUSTION_ORB.get(planet, 10)
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diff = abs(planet_degree - sun_degree)
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if diff > 180:
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diff = 360 - diff
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return diff <= orb
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def _has_malefic_aspect(planet_sign: str, all_planets: Dict, planet: str = None) -> List[str]:
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"""检查是否有凶星合相/相位该行星"""
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afflicting = []
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for pn, pd in all_planets.items():
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if pn == planet or pn not in NATURAL_MALEFICS:
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continue
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# 简单合相检查
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if pd.get('sign') == planet_sign:
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afflicting.append(pn)
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return afflicting
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def detect_pancha_mahapurusha(planets: Dict, sun_degree: float = None) -> List[Dict]:
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"""
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检测所有Pancha Mahapurusha Yoga,含失效条件。
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Args:
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planets: {planet: {'sign': str, 'house': int, 'degree': float, ...}}
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sun_degree: 太阳黄道经度(用于燃烧检测)
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Returns:
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检测到的PMC Yoga列表
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"""
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yogas = []
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sun_deg = sun_degree
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for planet in MAHAPURUSHA_PLANETS:
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pd = planets.get(planet)
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if not pd:
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continue
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sign = pd.get('sign', '')
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house = pd.get('house', 0)
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# 基本条件:在Kendra + own/exalted
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if house not in KENDRA_HOUSES:
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continue
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if not _is_exalted_or_own(planet, sign):
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continue
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yoga_name = MAHAPURUSHA_NAMES[planet]
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effect = MAHAPURUSHA_EFFECTS.get(yoga_name.replace(" Yoga", ""), "")
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# 检查失效条件
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cancellations = []
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is_valid = True
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# 1. 燃烧检测
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if sun_deg is not None:
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planet_deg = pd.get('degree', 0)
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if _is_combust(planet, planet_deg, sun_deg):
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cancellations.append(f"{planet}被太阳燃烧(orb < {COMBUSTION_ORB.get(planet,10)}°) — Yoga效力大减")
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is_valid = False
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# 2. 逆行检测
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if pd.get('retrograde', False):
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cancellations.append(f"{planet}逆行 — Yoga效力减弱")
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is_valid = False
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# 3. 凶星受克
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malefics = _has_malefic_aspect(sign, planets, planet)
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if malefics:
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cancellations.append(f"{planet}受凶星合相: {', '.join(malefics)} — Yoga部分失效")
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is_valid = False
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# 4. Navamsa弱势(D9中落陷)
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navamsa_sign = pd.get('navamsa_sign', '')
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if navamsa_sign in OWN_SIGNS.get(planet, set()) or (planet in EXALTATION and EXALTATION[planet][0] == navamsa_sign):
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pass # D9 also strong → yoga reinforced
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elif navamsa_sign:
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# Check if debilitated in D9
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deb_sign_idx = (SIGNS.index(EXALTATION[planet][0]) + 6) % 12 if planet in EXALTATION and planet != 'Rahu' and planet != 'Ketu' else -1
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if deb_sign_idx >= 0 and navamsa_sign == SIGNS[deb_sign_idx]:
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cancellations.append(f"{planet}在Navamsa落陷 — Yoga根基不稳")
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is_valid = False
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yogas.append({
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'name': yoga_name,
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'planet': planet,
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'sign': sign,
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'house': house,
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'is_valid': is_valid,
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'strength': '完整' if is_valid else '削弱',
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'effect': effect,
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'cancellations': cancellations,
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})
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return yogas
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def assess_pmc_strength(planets: Dict, sun_degree: float = None) -> Dict:
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"""
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评估Pancha Mahapurusha Yoga总体强度。
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Returns:
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PMC评估结果
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"""
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yogas = detect_pancha_mahapurusha(planets, sun_degree)
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valid = [y for y in yogas if y['is_valid']]
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invalid = [y for y in yogas if not y['is_valid']]
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if len(valid) >= 2:
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assessment = "多重大王瑜伽 — 命主在不同领域均有杰出天赋"
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elif len(valid) == 1:
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assessment = f"{valid[0]['name']} — 命主在特定领域有卓越潜力"
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elif len(invalid) > 0:
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st = [y['planet'] for y in invalid]
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assessment = f"瑜伽潜质存在但因{', '.join(st)}受克而削弱"
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else:
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assessment = "无Pancha Mahapurusha Yoga"
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return {
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'method': 'Pancha Mahapurusha Yoga 完整检测 v1.0',
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'yogas': yogas,
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'valid_count': len(valid),
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'invalid_count': len(invalid),
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'assessment': assessment,
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}
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