#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Ashtakoot 合婚（36点匹配）+ Kuja Dosha + 附加 Kuta 基于 dashaflow/matchmaking.py (MIT License) 适配 8 个标准 Kuta (36点): 1. Varna (1) — 社会阶层兼容性 2. Vashya (2) — 控制力兼容性 3. Tara (3) — 星宿距离吉凶 4. Yoni (4) — 性格/本能兼容性 5. Graha Maitri (5) — 行星友谊 6. Gana (6) — 气质类型 7. Bhakoot (7) — 星座相对位置 8. Nadi (8) — 生理体质 附加 Kuta: 9. Mahendra — 长寿/子嗣 10. Stree Deergha — 丈夫长寿 11. Vedha — 障碍对 12. Rajju — 婚姻寿命 13. Bad Constellations — 凶宿 14. Lagna House7 — 上升/7宫交叉 15. Sex Energy — 性能量匹配 16. Kuja Dosha — 火星凶相分析 """ import math from typing import Dict, Optional # ============================================================================ # 常量 # ============================================================================ SIGNS = ['Aries', 'Taurus', 'Gemini', 'Cancer', 'Leo', 'Virgo', 'Libra', 'Scorpio', 'Sagittarius', 'Capricorn', 'Aquarius', 'Pisces'] SIGN_LORDS = { 'Aries': 'Mars', 'Taurus': 'Venus', 'Gemini': 'Mercury', 'Cancer': 'Moon', 'Leo': 'Sun', 'Virgo': 'Mercury', 'Libra': 'Venus', 'Scorpio': 'Mars', 'Sagittarius': 'Jupiter', 'Capricorn': 'Saturn', 'Aquarius': 'Saturn', 'Pisces': 'Jupiter' } # 27 宿数据 NAKSHATRA_NAMES = [ "Ashwini", "Bharani", "Krittika", "Rohini", "Mrigashira", "Ardra", "Punarvasu", "Pushya", "Ashlesha", "Magha", "Purva Phalguni", "Uttara Phalguni", "Hasta", "Chitra", "Swati", "Vishakha", "Anuradha", "Jyeshtha", "Mula", "Purva Ashadha", "Uttara Ashadha", "Shravana", "Dhanishta", "Shatabhisha", "Purva Bhadrapada", "Uttara Bhadrapada", "Revati" ] NAKSHATRA_LORDS = [ "Ketu", "Venus", "Sun", "Moon", "Mars", "Rahu", "Jupiter", "Saturn", "Mercury", "Ketu", "Venus", "Sun", "Moon", "Mars", "Rahu", "Jupiter", "Saturn", "Mercury", "Ketu", "Venus", "Sun", "Moon", "Mars", "Rahu", "Jupiter", "Saturn", "Mercury" ] YONI_ANIMALS = [ "Horse", "Elephant", "Sheep", "Serpent", "Serpent", "Dog", "Cat", "Sheep", "Cat", "Rat", "Rat", "Cow", "Buffalo", "Tiger", "Buffalo", "Tiger", "Deer", "Deer", "Dog", "Monkey", "Mongoose", "Monkey", "Lion", "Horse", "Lion", "Cow", "Elephant" ] YONI_ENEMIES = { "Horse": "Buffalo", "Buffalo": "Horse", "Elephant": "Lion", "Lion": "Elephant", "Sheep": "Monkey", "Monkey": "Sheep", "Serpent": "Mongoose", "Mongoose": "Serpent", "Dog": "Deer", "Deer": "Dog", "Cat": "Rat", "Rat": "Cat", "Cow": "Tiger", "Tiger": "Cow" } GANA = [ "Deva", "Manushya", "Rakshasa", "Manushya", "Deva", "Manushya", "Deva", "Deva", "Rakshasa", "Rakshasa", "Manushya", "Manushya", "Deva", "Rakshasa", "Deva", "Rakshasa", "Deva", "Rakshasa", "Rakshasa", "Manushya", "Manushya", "Deva", "Rakshasa", "Rakshasa", "Manushya", "Manushya", "Deva" ] NADI = [ "Adi", "Madhya", "Antya", "Antya", "Madhya", "Adi", "Adi", "Madhya", "Antya", "Antya", "Madhya", "Adi", "Adi", "Madhya", "Antya", "Antya", "Madhya", "Adi", "Adi", "Madhya", "Antya", "Antya", "Madhya", "Adi", "Adi", "Madhya", "Antya" ] VARNA = { "Cancer": 1, "Scorpio": 1, "Pisces": 1, "Aries": 2, "Leo": 2, "Sagittarius": 2, "Taurus": 3, "Virgo": 3, "Capricorn": 3, "Gemini": 4, "Libra": 4, "Aquarius": 4 } VASHYA_TYPE = { "Aries": "Chatushpada", "Taurus": "Chatushpada", "Leo": "Vanachara", "Sagittarius": "Chatushpada", "Capricorn": "Chatushpada", "Gemini": "Manava", "Virgo": "Manava", "Libra": "Manava", "Aquarius": "Manava", "Cancer": "Jalachara", "Pisces": "Jalachara", "Scorpio": "Keet", } VASHYA_MATRIX = { ("Chatushpada", "Chatushpada"): 2.0, ("Manava", "Manava"): 2.0, ("Jalachara", "Jalachara"): 2.0, ("Vanachara", "Vanachara"): 2.0, ("Keet", "Keet"): 2.0, ("Chatushpada", "Manava"): 0.5, ("Manava", "Chatushpada"): 0.5, ("Manava", "Jalachara"): 1.0, ("Jalachara", "Manava"): 1.0, ("Chatushpada", "Jalachara"): 0.5, ("Jalachara", "Chatushpada"): 0.5, ("Vanachara", "Chatushpada"): 0.0, ("Chatushpada", "Vanachara"): 0.0, ("Keet", "Chatushpada"): 0.0, ("Chatushpada", "Keet"): 0.0, ("Vanachara", "Manava"): 0.5, ("Manava", "Vanachara"): 0.5, ("Keet", "Manava"): 0.5, ("Manava", "Keet"): 0.5, ("Vanachara", "Jalachara"): 0.5, ("Jalachara", "Vanachara"): 0.5, ("Keet", "Jalachara"): 1.0, ("Jalachara", "Keet"): 1.0, ("Vanachara", "Keet"): 1.0, ("Keet", "Vanachara"): 1.0, } FRIENDSHIP = { 'Sun': {'friend': ['Moon', 'Mars', 'Jupiter'], 'enemy': ['Saturn', 'Venus'], 'neutral': ['Mercury']}, 'Moon': {'friend': ['Sun', 'Mercury'], 'enemy': [], 'neutral': ['Mars', 'Jupiter', 'Venus', 'Saturn']}, 'Mars': {'friend': ['Sun', 'Moon', 'Jupiter'], 'enemy': ['Mercury'], 'neutral': ['Venus', 'Saturn']}, 'Mercury': {'friend': ['Sun', 'Venus'], 'enemy': ['Moon'], 'neutral': ['Mars', 'Jupiter', 'Saturn']}, 'Jupiter': {'friend': ['Sun', 'Moon', 'Mars'], 'enemy': ['Mercury', 'Venus'], 'neutral': ['Saturn']}, 'Venus': {'friend': ['Mercury', 'Saturn'], 'enemy': ['Sun', 'Moon'], 'neutral': ['Mars', 'Jupiter']}, 'Saturn': {'friend': ['Mercury', 'Venus'], 'enemy': ['Sun', 'Moon', 'Mars'], 'neutral': ['Jupiter']}, } VEDHA_PAIRS = [ (0, 17), (1, 16), (2, 15), (3, 14), (5, 21), (6, 20), (7, 19), (8, 18), (9, 26), (10, 25), (11, 24), (12, 23), (4, 22), ] RAJJU_GROUPS = { "Pada": {0, 8, 9, 17, 18, 26}, "Kati": {1, 7, 10, 16, 25, 19}, "Udara": {2, 6, 11, 15, 20, 24}, "Kanta": {3, 5, 12, 14, 21, 23}, "Sira": {4, 13, 22}, } RAJJU_EFFECTS = { "Sira": "head — risk to husband's longevity", "Kanta": "neck — risk to wife's longevity", "Udara": "stomach — risk to children", "Kati": "waist — poverty may ensue", "Pada": "foot — couple may be always wandering", } # Kuja Dosha DOSHA_HOUSES = {2, 4, 7, 8, 12} HIGH_SEVERITY_HOUSES = {7, 8} MARS_EXCEPTIONS = { 2: {"Gemini", "Virgo"}, 12: {"Taurus", "Libra"}, 4: {"Aries", "Scorpio"}, 7: {"Capricorn", "Cancer"}, 8: {"Sagittarius", "Pisces"}, } MARS_EXEMPT_SIGNS = {"Aquarius", "Leo"} EXALTATION_DEG = { 'Sun': 10.0, 'Moon': 33.0, 'Mars': 298.0, 'Mercury': 165.0, 'Jupiter': 95.0, 'Venus': 357.0, 'Saturn': 200.0 } OWN_SIGNS = { 'Sun': {'Leo'}, 'Moon': {'Cancer'}, 'Mars': {'Aries', 'Scorpio'}, 'Mercury': {'Gemini', 'Virgo'}, 'Jupiter': {'Sagittarius', 'Pisces'}, 'Venus': {'Taurus', 'Libra'}, 'Saturn': {'Capricorn', 'Aquarius'} } # ============================================================================ # 辅助函数 # ============================================================================ def get_nakshatra(moon_lon: float) -> Dict: """从月亮经度计算星宿索引、名称和 pada""" nak_span = 360.0 / 27 # 13.333° nak_idx = int(moon_lon / nak_span) % 27 pada = int(((moon_lon % nak_span) / nak_span) * 4) + 1 return { "index": nak_idx, "name": NAKSHATRA_NAMES[nak_idx], "lord": NAKSHATRA_LORDS[nak_idx], "pada": pada, } # ============================================================================ # 8 个标准 Kuta # ============================================================================ def calc_varna(m_sign: str, f_sign: str) -> float: m_varna = VARNA.get(m_sign, 4) f_varna = VARNA.get(f_sign, 4) return 1.0 if m_varna <= f_varna else 0.0 def calc_vashya(m_sign: str, f_sign: str) -> float: if m_sign == f_sign: return 2.0 m_type = VASHYA_TYPE.get(m_sign, "Manava") f_type = VASHYA_TYPE.get(f_sign, "Manava") return VASHYA_MATRIX.get((m_type, f_type), 1.0) def calc_tara(m_nak_idx: int, f_nak_idx: int) -> float: m_to_f = (f_nak_idx - m_nak_idx) % 9 f_to_m = (m_nak_idx - f_nak_idx) % 9 pts = 0.0 if m_to_f not in (2, 4, 6): pts += 1.5 if f_to_m not in (2, 4, 6): pts += 1.5 return pts def calc_yoni(m_nak_idx: int, f_nak_idx: int) -> float: m_yoni = YONI_ANIMALS[m_nak_idx] f_yoni = YONI_ANIMALS[f_nak_idx] if m_yoni == f_yoni: return 4.0 if YONI_ENEMIES.get(m_yoni) == f_yoni: return 0.0 return 2.0 def calc_graha_maitri(m_sign: str, f_sign: str) -> float: m_lord = SIGN_LORDS.get(m_sign, '') f_lord = SIGN_LORDS.get(f_sign, '') def _friendship(p1, p2): if p1 == p2: return 1.0 rel = FRIENDSHIP.get(p1, {}) if p2 in rel.get('friend', []): return 1.0 if p2 in rel.get('enemy', []): return 0.0 return 0.5 m_to_f = _friendship(m_lord, f_lord) f_to_m = _friendship(f_lord, m_lord) total = m_to_f + f_to_m if total == 2.0: return 5.0 if total == 1.5: return 4.0 if total == 1.0: return 3.0 if total == 0.5: return 1.0 return 0.0 def calc_gana(m_nak_idx: int, f_nak_idx: int) -> float: m_gana = GANA[m_nak_idx] f_gana = GANA[f_nak_idx] if m_gana == f_gana: return 6.0 if m_gana == "Deva" and f_gana == "Manushya": return 6.0 if m_gana == "Manushya" and f_gana == "Deva": return 5.0 if m_gana == "Rakshasa" and f_gana == "Manushya": return 0.0 if f_gana == "Rakshasa" and m_gana == "Manushya": return 0.0 if m_gana == "Rakshasa" and f_gana == "Deva": return 1.0 if f_gana == "Rakshasa" and m_gana == "Deva": return 0.0 return 0.0 def calc_bhakoot(m_sign: str, f_sign: str) -> float: m_idx = SIGNS.index(m_sign) if m_sign in SIGNS else 0 f_idx = SIGNS.index(f_sign) if f_sign in SIGNS else 0 diff = (f_idx - m_idx) % 12 + 1 if diff in (1, 7, 3, 11, 4, 10): return 7.0 return 0.0 def calc_nadi(m_nak_idx: int, f_nak_idx: int) -> float: m_nadi = NADI[m_nak_idx] f_nadi = NADI[f_nak_idx] return 8.0 if m_nadi != f_nadi else 0.0 # ============================================================================ # 附加 Kuta # ============================================================================ def calc_mahendra(m_nak_idx: int, f_nak_idx: int) -> str: count = ((m_nak_idx - f_nak_idx) % 27) + 1 return "good" if count in (4, 7, 10, 13, 16, 19, 22, 25) else "bad" def calc_stree_deergha(m_nak_idx: int, f_nak_idx: int) -> str: count = ((m_nak_idx - f_nak_idx) % 27) + 1 return "good" if count >= 9 else "bad" def calc_vedha(m_nak_idx: int, f_nak_idx: int) -> str: for a, b in VEDHA_PAIRS: if (m_nak_idx == a and f_nak_idx == b) or (m_nak_idx == b and f_nak_idx == a): return "bad" return "good" def calc_rajju(m_nak_idx: int, f_nak_idx: int) -> Dict: def _group(idx): for g, indices in RAJJU_GROUPS.items(): if idx in indices: return g return None m_group = _group(m_nak_idx) f_group = _group(f_nak_idx) if m_group and f_group and m_group == f_group: return {"result": "bad", "group": m_group, "effect": RAJJU_EFFECTS.get(m_group, "")} return {"result": "good", "group": None, "effect": ""} def calc_bad_constellations(m_nak_idx: int, m_pada: int, f_nak_idx: int, f_pada: int) -> Dict: issues = [] if m_nak_idx == 18 and m_pada == 1: issues.append("Male born in Moola 1st pada — risk to father-in-law.") if f_nak_idx == 18 and f_pada == 1: issues.append("Female born in Moola 1st pada — risk to father-in-law.") if f_nak_idx == 8 and f_pada == 1: issues.append("Female born in Ashlesha 1st pada — risk to husband's mother.") if f_nak_idx == 17 and f_pada == 1: issues.append("Female born in Jyeshtha 1st pada — risk to husband's elder brother.") if f_nak_idx == 15 and f_pada == 4: issues.append("Female born in Vishakha 4th pada — risk to husband's younger brother.") return {"result": "bad" if issues else "good", "issues": issues} def calc_lagna_house7(chart1: Dict, chart2: Dict) -> Dict: m_lagna = chart1.get("lagna", {}).get("sign") f_lagna = chart2.get("lagna", {}).get("sign") m_moon = chart1.get("planets", {}).get("Moon", {}).get("sign") f_moon = chart2.get("planets", {}).get("Moon", {}).get("sign") if (f_moon and m_lagna and f_moon == m_lagna) or (m_moon and f_lagna and m_moon == f_lagna): return {"result": "good", "description": "Moon-Lagna cross match — mutual understanding."} if m_lagna and f_lagna: m_idx = SIGNS.index(m_lagna) if m_lagna in SIGNS else 0 f_idx = SIGNS.index(f_lagna) if f_lagna in SIGNS else 0 m_7th = SIGNS[(m_idx + 6) % 12] f_7th = SIGNS[(f_idx + 6) % 12] m_7lord = SIGN_LORDS[m_7th] f_7lord = SIGN_LORDS[f_7th] m_7lord_sign = chart1.get("planets", {}).get(m_7lord, {}).get("sign") f_7lord_sign = chart2.get("planets", {}).get(f_7lord, {}).get("sign") if m_7lord_sign == f_lagna or f_7lord_sign == m_lagna: return {"result": "good", "description": "7th house lord cross-placement — marriage stability."} return {"result": "neutral", "description": "No special Lagna-7th connection."} # ============================================================================ # Kuja Dosha (Manglik 分析) # ============================================================================ def _planet_dignity_level(planet_name: str, sign: str) -> str: exalt_sign = SIGNS[int(EXALTATION_DEG.get(planet_name, 999) / 30) % 12] debil_sign = SIGNS[int((EXALTATION_DEG.get(planet_name, 0) + 180) / 30) % 12] if sign == exalt_sign: return "exalted" if planet_name in OWN_SIGNS and sign in OWN_SIGNS[planet_name]: return "own" lord = SIGN_LORDS.get(sign, '') rel = FRIENDSHIP.get(planet_name, {}) if lord in rel.get('friend', []): return "friendly" if lord in rel.get('enemy', []): return "enemy" if sign == debil_sign: return "debilitated" return "neutral" def calc_kuja_dosha(chart: Dict) -> Dict: """计算完整的 Kuja Dosha（火星凶相分析）""" planets = chart.get("planets", {}) dosha_scores_high = { "Mars": {"debilitated": 100, "enemy": 90, "neutral": 80, "friendly": 70, "own": 60, "exalted": 50}, "Saturn": {"debilitated": 75, "enemy": 67.5, "neutral": 60, "friendly": 52.5, "own": 45, "exalted": 37.5}, "Sun": {"debilitated": 50, "enemy": 45, "neutral": 40, "friendly": 35, "own": 30, "exalted": 25}, } dosha_scores_low = { "Mars": {"debilitated": 50, "enemy": 45, "neutral": 40, "friendly": 35, "own": 30, "exalted": 25}, "Saturn": {"debilitated": 37.5, "enemy": 33.75, "neutral": 30, "friendly": 26.25, "own": 22.5, "exalted": 18.75}, "Sun": {"debilitated": 25, "enemy": 22.5, "neutral": 20, "friendly": 17.5, "own": 15, "exalted": 12.5}, } total = 0.0 breakdown = {} for p_name in ("Mars", "Saturn", "Rahu", "Ketu", "Sun"): pd = planets.get(p_name) if not pd: continue house = pd.get("house", 0) sign = pd.get("sign", "") if house not in DOSHA_HOUSES: continue # Mars exceptions if p_name == "Mars": if sign in MARS_EXEMPT_SIGNS: continue if house in MARS_EXCEPTIONS and sign in MARS_EXCEPTIONS[house]: continue dig = _planet_dignity_level(p_name, sign) score_table = dosha_scores_high if house in HIGH_SEVERITY_HOUSES else dosha_scores_low table = score_table.get(p_name, score_table.get("Saturn", {})) score = table.get(dig, 60 if house in HIGH_SEVERITY_HOUSES else 30) if score > 0: breakdown[p_name] = {"house": house, "sign": sign, "dignity": dig, "score": score} total += score return {"total_score": round(total, 2), "breakdown": breakdown, "is_manglik": total > 0} def match_kuja_dosha(male_score: float, female_score: float) -> Dict: diff = male_score - female_score if abs(diff) <= 5: return {"result": "good", "description": "Kuja Dosha balanced."} if diff < -5: return {"result": "bad", "description": "Female has significantly more Kuja Dosha."} if female_score > 0 and diff < female_score * 0.25: return {"result": "acceptable", "description": "Male has more Kuja Dosha but within tolerance."} return {"result": "bad", "description": "Male has significantly more Kuja Dosha."} # ============================================================================ # 主函数 # ============================================================================ def calculate_ashtakoot(male_moon_lon: float, female_moon_lon: float, male_chart: Optional[Dict] = None, female_chart: Optional[Dict] = None) -> Dict: """ 完整的 Ashtakoot 36点合婚 + 附加 Kuta + Kuja Dosha Args: male_moon_lon: 男方月亮恒星黄道经度 female_moon_lon: 女方月亮恒星黄道经度 male_chart: 男方完整星盘（可选，用于附加 Kuta） female_chart: 女方完整星盘（可选，用于附加 Kuta） """ m_nak = get_nakshatra(male_moon_lon) f_nak = get_nakshatra(female_moon_lon) m_nak_idx = m_nak["index"] f_nak_idx = f_nak["index"] m_sign_idx = int((male_moon_lon % 360) / 30) f_sign_idx = int((female_moon_lon % 360) / 30) m_sign = SIGNS[m_sign_idx] f_sign = SIGNS[f_sign_idx] # 8 标准 Kuta scores = { "Varna": calc_varna(m_sign, f_sign), "Vashya": calc_vashya(m_sign, f_sign), "Tara": calc_tara(m_nak_idx, f_nak_idx), "Yoni": calc_yoni(m_nak_idx, f_nak_idx), "GrahaMaitri": calc_graha_maitri(m_sign, f_sign), "Gana": calc_gana(m_nak_idx, f_nak_idx), "Bhakoot": calc_bhakoot(m_sign, f_sign), "Nadi": calc_nadi(m_nak_idx, f_nak_idx), } total_score = sum(scores.values()) # 附加 Kuta rajju_result = calc_rajju(m_nak_idx, f_nak_idx) additional_kutas = { "Mahendra": calc_mahendra(m_nak_idx, f_nak_idx), "StreeDeergha": calc_stree_deergha(m_nak_idx, f_nak_idx), "Vedha": calc_vedha(m_nak_idx, f_nak_idx), "Rajju": rajju_result, "BadConstellations": calc_bad_constellations( m_nak_idx, m_nak.get("pada", 0), f_nak_idx, f_nak.get("pada", 0)), } # 星盘依赖的 Kuta kuja_male = None kuja_female = None kuja_match = None if male_chart and female_chart: additional_kutas["LagnaHouse7"] = calc_lagna_house7(male_chart, female_chart) kuja_male = calc_kuja_dosha(male_chart) kuja_female = calc_kuja_dosha(female_chart) kuja_match = match_kuja_dosha( kuja_male.get("total_score", 0), kuja_female.get("total_score", 0)) # 例外逻辑 exceptions = [] if scores["Nadi"] == 0: if scores["Bhakoot"] > 0 and rajju_result["result"] == "good": exceptions.append("Nadi Dosha mitigated by good Bhakoot and Rajju.") if rajju_result["result"] == "bad": if (scores["GrahaMaitri"] >= 4.0 and scores["Bhakoot"] > 0 and scores["Tara"] >= 1.5 and additional_kutas["Mahendra"] == "good"): exceptions.append("Rajju Dosha mitigated by good Graha Maitri, Bhakoot, Tara, and Mahendra.") if additional_kutas["StreeDeergha"] == "bad": if scores["Bhakoot"] > 0 and scores["GrahaMaitri"] >= 4.0: exceptions.append("Stree Deergha Dosha mitigated by good Bhakoot and Graha Maitri.") # 综合判定 is_match = total_score >= 18.0 and (scores["Nadi"] > 0 or len(exceptions) > 0) return { "method": "Ashtakoot 36-point Matching + Additional Kutas (v6.9.12, MIT: dashaflow)", "male_details": { "moon_sign": m_sign, "nakshatra": m_nak["name"], "nakshatra_pada": m_nak["pada"], "gana": GANA[m_nak_idx], "nadi": NADI[m_nak_idx], "yoni": YONI_ANIMALS[m_nak_idx], }, "female_details": { "moon_sign": f_sign, "nakshatra": f_nak["name"], "nakshatra_pada": f_nak["pada"], "gana": GANA[f_nak_idx], "nadi": NADI[f_nak_idx], "yoni": YONI_ANIMALS[f_nak_idx], }, "scores": scores, "total_score": total_score, "max_score": 36.0, "match_percentage": round(total_score / 36.0 * 100, 1), "additional_kutas": additional_kutas, "exceptions": exceptions, "kuja_dosha_male": kuja_male, "kuja_dosha_female": kuja_female, "kuja_dosha_match": kuja_match, "is_match_approved": is_match, }