#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Pancha Mahapurusha Yoga（五王瑜伽）完整检测模块 v1.0 基于BPHS和dashaflow (MIT) detect_yogas核心算法 五种瑜伽： - Ruchaka Yoga (Mars) - Bhadra Yoga (Mercury) - Hamsa Yoga (Jupiter) - Malavya Yoga (Venus) - Shasha Yoga (Saturn) 破格口径按占星师定稿 2026-10-03 甲5（BUG-1207）：逆行不破格；燃烧、与凶星 同宫或被照只记「部分减弱」。D9 落陷按占星师第四轮裁定（2026-10-03 问 1，BUG-1213） 只算减弱：格局仍成立（`status: formed`），加 `d9_dignity_modifier: "weakened"`；只有 D1 条件（命宫角宫 + 入庙/入旺）不成立时才是 `not_formed`。本模块是五大人格的 唯一主检测器，`yoga_rules.json` 同名规则与 `yogas_doshas.calc_pancha_mahapurusha_yoga` 为 reference_only。 """ from typing import Dict, List, Optional SIGNS = ['Aries', 'Taurus', 'Gemini', 'Cancer', 'Leo', 'Virgo', 'Libra', 'Scorpio', 'Sagittarius', 'Capricorn', 'Aquarius', 'Pisces'] KENDRA_HOUSES = {1, 4, 7, 10} MAHAPURUSHA_PLANETS = {"Mars", "Mercury", "Jupiter", "Venus", "Saturn"} MAHAPURUSHA_NAMES = { "Mars": "Ruchaka Yoga", "Mercury": "Bhadra Yoga", "Jupiter": "Hamsa Yoga", "Venus": "Malavya Yoga", "Saturn": "Shasha Yoga", } MAHAPURUSHA_EFFECTS = { "Ruchaka": "军事领袖、建筑大师、体魄强健、勇敢果断", "Bhadra": "演说家、学者、机智聪慧、商业头脑", "Hamsa": "精神导师、哲学家、富足慷慨、智慧卓越", "Malavya": "艺术家、享乐者、魅力超凡、审美敏锐", "Shasha": "政治家、长者、坚韧执着、权威地位", } EXALTATION = {'Sun':('Aries',10),'Moon':('Taurus',3),'Mars':('Capricorn',28),'Mercury':('Virgo',15),'Jupiter':('Cancer',5),'Venus':('Pisces',27),'Saturn':('Libra',20)} OWN_SIGNS = {'Sun':{'Leo'},'Moon':{'Cancer'},'Mars':{'Aries','Scorpio'},'Mercury':{'Gemini','Virgo'},'Jupiter':{'Sagittarius','Pisces'},'Venus':{'Taurus','Libra'},'Saturn':{'Capricorn','Aquarius'}} # Combustion orb (degrees from Sun) COMBUSTION_ORB = { 'Moon': {'direct': 12, 'retrograde': 12}, 'Mars': {'direct': 17, 'retrograde': 10}, 'Mercury': {'direct': 14, 'retrograde': 12}, 'Jupiter': {'direct': 11, 'retrograde': 10}, 'Venus': {'direct': 10, 'retrograde': 8}, 'Saturn': {'direct': 15, 'retrograde': 10}, } NATURAL_MALEFICS = {"Saturn", "Mars", "Sun", "Rahu", "Ketu"} def _is_exalted_or_own(planet: str, sign: str) -> bool: if planet in EXALTATION and EXALTATION[planet][0] == sign: return True if planet in OWN_SIGNS and sign in OWN_SIGNS[planet]: return True return False def _is_combust(planet: str, planet_degree: float, sun_degree: float, retrograde: bool = False) -> bool: """检查行星是否被太阳燃烧""" profile = COMBUSTION_ORB.get(planet, {'direct': 10}) orb = profile.get('retrograde' if retrograde else 'direct', profile.get('direct', 10)) diff = abs(planet_degree - sun_degree) if diff > 180: diff = 360 - diff return diff <= orb def _has_malefic_aspect(planet_sign: str, all_planets: Dict, planet: str = None) -> List[str]: """Natural malefics in the same sign as the yoga planet (the planet itself excluded, BUG-1180).""" afflicting = [] for pn, pd in all_planets.items(): if pn == planet or pn not in NATURAL_MALEFICS: continue # 简单合相检查 if pd.get('sign') == planet_sign: afflicting.append(pn) return afflicting # Parashari whole-sign graha drishti, as aspects.calc_house_aspects: every graha # the 7th; Mars also 4 / 8, Saturn 3 / 10; Rahu / Ketu cast none. MALEFIC_DRISHTI = {'Sun': (7,), 'Mars': (4, 7, 8), 'Saturn': (3, 7, 10)} def _malefic_aspectors(planet_sign: str, all_planets: Dict, planet: str = None) -> List[str]: """Natural malefics whose graha drishti falls on the yoga planet's sign.""" if planet_sign not in SIGNS: return [] target = SIGNS.index(planet_sign) casters = [] for pn, offsets in MALEFIC_DRISHTI.items(): pd = all_planets.get(pn) if pn == planet or not isinstance(pd, dict) or pd.get('sign') not in SIGNS: continue origin = SIGNS.index(pd['sign']) if any((origin + offset - 1) % 12 == target for offset in offsets): casters.append(pn) return casters def navamsa_sign_of(lon: float) -> str: """D9 sign of a sidereal longitude (Parashari navamsa, 3°20' each).""" return SIGNS[int((float(lon) % 360.0) * 9.0 / 30.0) % 12] def _debilitation_sign(planet: str) -> str: if planet not in EXALTATION: return '' return SIGNS[(SIGNS.index(EXALTATION[planet][0]) + 6) % 12] def _longitude(pd: Dict) -> Optional[float]: """Sidereal longitude of a row; `degree` may be a longitude or a degree in sign.""" for key in ('lon', 'degree_raw', 'longitude'): value = pd.get(key) if isinstance(value, (int, float)): return float(value) % 360.0 degree = pd.get('degree') if not isinstance(degree, (int, float)): return None if degree >= 30 or pd.get('sign') not in SIGNS: return float(degree) % 360.0 return SIGNS.index(pd['sign']) * 30.0 + float(degree) MAHAPURUSHA_ORDER = ('Mars', 'Mercury', 'Jupiter', 'Venus', 'Saturn') PLANET_ZH = {'Sun': '太阳', 'Mars': '火星', 'Mercury': '水星', 'Jupiter': '木星', 'Venus': '金星', 'Saturn': '土星', 'Rahu': '罗睺', 'Ketu': '计都'} def detect_pancha_mahapurusha(planets: Dict, sun_degree: float = None, include_not_formed: bool = False) -> List[Dict]: """ 检测所有Pancha Mahapurusha Yoga（主检测器）。 占星师定稿 2026-10-03 甲5（BUG-1207）与第四轮问 1（BUG-1213）： - 只从命宫（Lagna）角宫计算：行星在上升起第 1/4/7/10 宫且入庙或入旺； 这一条不满足才是 `not_formed`； - 逆行不破格； - 燃烧不破格，只记「部分减弱」（`strength: reduced`）； - 与凶星同宫或被凶星照只降低强度，不消灭格局； - D9 落陷只算减弱：`status` 仍是 `formed`，加 `d9_dignity_modifier: "weakened"`， 原因列「D9 落陷，兑现减弱」。D9 星座取调用方给的 `navamsa_sign`，没给时由 黄道经度推出，所以各路径（咨询、报告、`/api/pancha_mahapurusha`）都检查 D9。 Args: planets: {planet: {'sign': str, 'house': int, 'lon'|'degree': float, 'navamsa_sign'?: str}} `house` 从上升数；经度取 `lon` / `degree_raw` / `longitude`，否则 `degree` （≥30 视为经度，否则按星座内度数）。 sun_degree: 太阳黄道经度（燃烧检测）；缺省时取 planets['Sun'] 的经度。 include_not_formed: 为 True 时，D1 条件不成立的五星也返回一行 （`status: not_formed`、`is_valid: False`）。 Returns: 检测到的PMC Yoga列表（含 status: formed / not_formed，strength: full / reduced） """ yogas = [] sun_deg = sun_degree if sun_deg is None and isinstance(planets.get('Sun'), dict): sun_deg = _longitude(planets['Sun']) for planet in MAHAPURUSHA_ORDER: pd = planets.get(planet) if not pd: continue sign = pd.get('sign', '') house = pd.get('house', 0) # 基本条件：在Kendra + own/exalted（D1）。不满足即 not_formed。 if house not in KENDRA_HOUSES or not _is_exalted_or_own(planet, sign): if include_not_formed: yogas.append({ 'name': MAHAPURUSHA_NAMES[planet], 'planet': planet, 'sign': sign, 'house': house, 'status': 'not_formed', 'is_valid': False, 'strength': 'not_formed', 'strength_cn': '不成立', 'reason': 'd1_kendra_own_or_exalted_not_met', 'reductions': [], 'reductions_en': [], 'cancellations': [], }) continue yoga_name = MAHAPURUSHA_NAMES[planet] effect = MAHAPURUSHA_EFFECTS.get(yoga_name.replace(" Yoga", ""), "") cancellations = [] reductions = [] reductions_en = [] # 1. 燃烧：部分减弱（容许度表与 jyotish_engine.COMBUSTION_ORBS 一致， # tests/test_combustion_orb_tables_agree.py） planet_deg = _longitude(pd) retro = bool(pd.get('retrograde')) if sun_deg is not None and planet_deg is not None and _is_combust(planet, planet_deg, sun_deg, retro): profile = COMBUSTION_ORB.get(planet, {'direct': 10}) threshold = profile.get('retrograde' if retro else 'direct', profile.get('direct', 10)) reductions.append(f"{PLANET_ZH[planet]}燃烧（距太阳 {threshold}° 以内）") reductions_en.append(f"{planet} combust (within {threshold}° of the Sun)") # 2. 逆行：不破格，不减弱（定稿甲5） # 3. 凶星同宫 / 凶星照：只降低强度 malefics = _has_malefic_aspect(sign, planets, planet) if malefics: reductions.append(f"与凶星同宫：{'、'.join(PLANET_ZH.get(m, m) for m in malefics)}") reductions_en.append(f"conjunct malefic(s): {', '.join(malefics)}") aspectors = _malefic_aspectors(sign, planets, planet) if aspectors: reductions.append(f"受凶星照：{'、'.join(PLANET_ZH.get(m, m) for m in aspectors)}") reductions_en.append(f"aspected by malefic(s): {', '.join(aspectors)}") # 4. D9 落陷：只算减弱（第四轮问 1，BUG-1213），格局仍成立。 navamsa_sign = pd.get('navamsa_sign') or '' if not navamsa_sign and planet_deg is not None: navamsa_sign = navamsa_sign_of(planet_deg) d9_modifier = None if navamsa_sign and navamsa_sign == _debilitation_sign(planet): d9_modifier = 'weakened' reductions.append('D9 落陷，兑现减弱') reductions_en.append('debilitated in D9: delivery weakened') strength = 'reduced' if reductions else 'full' yogas.append({ 'name': yoga_name, 'planet': planet, 'sign': sign, 'house': house, 'status': 'formed', 'is_valid': True, 'strength': strength, 'strength_cn': {'full': '完整', 'reduced': '部分减弱'}[strength], 'd9_sign': navamsa_sign or None, 'd9_dignity_modifier': d9_modifier, 'effect': effect, 'reductions': reductions, 'reductions_en': reductions_en, 'cancellations': cancellations, }) return yogas def assess_pmc_strength(planets: Dict, sun_degree: float = None) -> Dict: """ 评估Pancha Mahapurusha Yoga总体强度。 Returns: PMC评估结果 """ yogas = detect_pancha_mahapurusha(planets, sun_degree) valid = [y for y in yogas if y['is_valid']] invalid = [y for y in yogas if not y['is_valid']] reduced = [y['name'] for y in valid if y['strength'] == 'reduced'] d9_weakened = [y['name'] for y in valid if y.get('d9_dignity_modifier') == 'weakened'] if len(valid) >= 2: assessment = "多重大王瑜伽 — 命主在不同领域均有杰出天赋" elif len(valid) == 1: assessment = f"{valid[0]['name']} — 命主在特定领域有卓越潜力" else: assessment = "无Pancha Mahapurusha Yoga" return { 'method': 'Pancha Mahapurusha Yoga 完整检测 v1.0', 'yogas': yogas, 'valid_count': len(valid), 'reduced': reduced, 'd9_weakened': d9_weakened, 'invalid_count': len(invalid), 'assessment': assessment, }