732642856
ee82af5ecb
feat(shadbala): 六重力量精度全面升级 - Kendra Bala: 0/15 二值 → BPHS 15/30/60 三档 (Kendra/Panapara/Apoklima) - Bhava Bala: 新增12宫位力量评估 (宫主星+宫内行星+相位) - Hora Bala: 新增 Kala Bala 子项 (出生时主星获得60 Virupas) - Chesta Bala: Sun 使用 Seeghrochcha 公式 (0.953-1.017°/天线性映射) - 方法标记更新: v6.1.10 → v6.9.12 feat(ashtakoot): 完整 36 点合婚系统 (基于 dashaflow MIT 代码) - 8 标准 Kuta: Varna/Vashya/Tara/Yoni/GrahaMaitri/Gana/Bhakoot/Nadi - 7 附加 Kuta: Mahendra/StreeDeergha/Vedha/Rajju/BadConstellations/LagnaHouse7/SexEnergy - Kuja Dosha: 火星凶相分析 (5 行星×5 凶宫, 尊贵度加权) - 例外逻辑: Nadi/Rajju/StreeDeergha Dosha 自动缓解判断 - CLI: jyotish_engine ashtakoot --m_year/--f_year ... 验证: 102/102 run_all PASS, Obama×Michelle 合婚 25/36 (69.4%)
526 lines
20 KiB
Python
526 lines
20 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Ashtakoot 合婚（36点匹配）+ Kuja Dosha + 附加 Kuta
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基于 dashaflow/matchmaking.py (MIT License) 适配
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8 个标准 Kuta (36点):
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1. Varna (1) — 社会阶层兼容性
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2. Vashya (2) — 控制力兼容性
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3. Tara (3) — 星宿距离吉凶
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4. Yoni (4) — 性格/本能兼容性
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5. Graha Maitri (5) — 行星友谊
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6. Gana (6) — 气质类型
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7. Bhakoot (7) — 星座相对位置
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8. Nadi (8) — 生理体质
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附加 Kuta:
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9. Mahendra — 长寿/子嗣
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10. Stree Deergha — 丈夫长寿
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11. Vedha — 障碍对
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12. Rajju — 婚姻寿命
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13. Bad Constellations — 凶宿
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14. Lagna House7 — 上升/7宫交叉
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15. Sex Energy — 性能量匹配
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16. Kuja Dosha — 火星凶相分析
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"""
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import math
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from typing import Dict, Optional
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# ============================================================================
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# 常量
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# ============================================================================
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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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SIGN_LORDS = {
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'Aries': 'Mars', 'Taurus': 'Venus', 'Gemini': 'Mercury', 'Cancer': 'Moon',
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'Leo': 'Sun', 'Virgo': 'Mercury', 'Libra': 'Venus', 'Scorpio': 'Mars',
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'Sagittarius': 'Jupiter', 'Capricorn': 'Saturn', 'Aquarius': 'Saturn', 'Pisces': 'Jupiter'
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}
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# 27 宿数据
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NAKSHATRA_NAMES = [
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"Ashwini", "Bharani", "Krittika", "Rohini", "Mrigashira", "Ardra",
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"Punarvasu", "Pushya", "Ashlesha", "Magha", "Purva Phalguni", "Uttara Phalguni",
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"Hasta", "Chitra", "Swati", "Vishakha", "Anuradha", "Jyeshtha",
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"Mula", "Purva Ashadha", "Uttara Ashadha", "Shravana", "Dhanishta",
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"Shatabhisha", "Purva Bhadrapada", "Uttara Bhadrapada", "Revati"
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]
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NAKSHATRA_LORDS = [
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"Ketu", "Venus", "Sun", "Moon", "Mars", "Rahu",
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"Jupiter", "Saturn", "Mercury", "Ketu", "Venus", "Sun",
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"Moon", "Mars", "Rahu", "Jupiter", "Saturn", "Mercury",
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"Ketu", "Venus", "Sun", "Moon", "Mars", "Rahu",
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"Jupiter", "Saturn", "Mercury"
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]
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YONI_ANIMALS = [
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"Horse", "Elephant", "Sheep", "Serpent", "Serpent", "Dog", "Cat", "Sheep", "Cat",
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"Rat", "Rat", "Cow", "Buffalo", "Tiger", "Buffalo", "Tiger", "Deer", "Deer",
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"Dog", "Monkey", "Mongoose", "Monkey", "Lion", "Horse", "Lion", "Cow", "Elephant"
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]
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YONI_ENEMIES = {
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"Horse": "Buffalo", "Buffalo": "Horse",
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"Elephant": "Lion", "Lion": "Elephant",
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"Sheep": "Monkey", "Monkey": "Sheep",
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"Serpent": "Mongoose", "Mongoose": "Serpent",
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"Dog": "Deer", "Deer": "Dog",
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"Cat": "Rat", "Rat": "Cat",
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"Cow": "Tiger", "Tiger": "Cow"
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}
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GANA = [
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"Deva", "Manushya", "Rakshasa", "Manushya", "Deva", "Manushya", "Deva", "Deva", "Rakshasa",
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"Rakshasa", "Manushya", "Manushya", "Deva", "Rakshasa", "Deva", "Rakshasa", "Deva", "Rakshasa",
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"Rakshasa", "Manushya", "Manushya", "Deva", "Rakshasa", "Rakshasa", "Manushya", "Manushya", "Deva"
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]
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NADI = [
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"Adi", "Madhya", "Antya", "Antya", "Madhya", "Adi", "Adi", "Madhya", "Antya",
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"Antya", "Madhya", "Adi", "Adi", "Madhya", "Antya", "Antya", "Madhya", "Adi",
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"Adi", "Madhya", "Antya", "Antya", "Madhya", "Adi", "Adi", "Madhya", "Antya"
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]
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VARNA = {
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"Cancer": 1, "Scorpio": 1, "Pisces": 1,
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"Aries": 2, "Leo": 2, "Sagittarius": 2,
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"Taurus": 3, "Virgo": 3, "Capricorn": 3,
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"Gemini": 4, "Libra": 4, "Aquarius": 4
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}
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VASHYA_TYPE = {
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"Aries": "Chatushpada", "Taurus": "Chatushpada",
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"Leo": "Vanachara", "Sagittarius": "Chatushpada",
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"Capricorn": "Chatushpada",
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"Gemini": "Manava", "Virgo": "Manava", "Libra": "Manava",
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"Aquarius": "Manava",
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"Cancer": "Jalachara", "Pisces": "Jalachara",
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"Scorpio": "Keet",
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}
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VASHYA_MATRIX = {
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("Chatushpada", "Chatushpada"): 2.0, ("Manava", "Manava"): 2.0,
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("Jalachara", "Jalachara"): 2.0, ("Vanachara", "Vanachara"): 2.0,
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("Keet", "Keet"): 2.0,
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("Chatushpada", "Manava"): 0.5, ("Manava", "Chatushpada"): 0.5,
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("Manava", "Jalachara"): 1.0, ("Jalachara", "Manava"): 1.0,
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("Chatushpada", "Jalachara"): 0.5, ("Jalachara", "Chatushpada"): 0.5,
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("Vanachara", "Chatushpada"): 0.0, ("Chatushpada", "Vanachara"): 0.0,
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("Keet", "Chatushpada"): 0.0, ("Chatushpada", "Keet"): 0.0,
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("Vanachara", "Manava"): 0.5, ("Manava", "Vanachara"): 0.5,
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("Keet", "Manava"): 0.5, ("Manava", "Keet"): 0.5,
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("Vanachara", "Jalachara"): 0.5, ("Jalachara", "Vanachara"): 0.5,
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("Keet", "Jalachara"): 1.0, ("Jalachara", "Keet"): 1.0,
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("Vanachara", "Keet"): 1.0, ("Keet", "Vanachara"): 1.0,
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}
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FRIENDSHIP = {
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'Sun': {'friend': ['Moon', 'Mars', 'Jupiter'], 'enemy': ['Saturn', 'Venus'], 'neutral': ['Mercury']},
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'Moon': {'friend': ['Sun', 'Mercury'], 'enemy': [], 'neutral': ['Mars', 'Jupiter', 'Venus', 'Saturn']},
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'Mars': {'friend': ['Sun', 'Moon', 'Jupiter'], 'enemy': ['Mercury'], 'neutral': ['Venus', 'Saturn']},
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'Mercury': {'friend': ['Sun', 'Venus'], 'enemy': ['Moon'], 'neutral': ['Mars', 'Jupiter', 'Saturn']},
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'Jupiter': {'friend': ['Sun', 'Moon', 'Mars'], 'enemy': ['Mercury', 'Venus'], 'neutral': ['Saturn']},
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'Venus': {'friend': ['Mercury', 'Saturn'], 'enemy': ['Sun', 'Moon'], 'neutral': ['Mars', 'Jupiter']},
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'Saturn': {'friend': ['Mercury', 'Venus'], 'enemy': ['Sun', 'Moon', 'Mars'], 'neutral': ['Jupiter']},
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}
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VEDHA_PAIRS = [
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(0, 17), (1, 16), (2, 15), (3, 14), (5, 21), (6, 20),
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(7, 19), (8, 18), (9, 26), (10, 25), (11, 24), (12, 23), (4, 22),
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]
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RAJJU_GROUPS = {
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"Pada": {0, 8, 9, 17, 18, 26},
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"Kati": {1, 7, 10, 16, 25, 19},
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"Udara": {2, 6, 11, 15, 20, 24},
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"Kanta": {3, 5, 12, 14, 21, 23},
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"Sira": {4, 13, 22},
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}
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RAJJU_EFFECTS = {
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"Sira": "head — risk to husband's longevity",
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"Kanta": "neck — risk to wife's longevity",
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"Udara": "stomach — risk to children",
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"Kati": "waist — poverty may ensue",
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"Pada": "foot — couple may be always wandering",
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}
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# Kuja Dosha
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DOSHA_HOUSES = {2, 4, 7, 8, 12}
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HIGH_SEVERITY_HOUSES = {7, 8}
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MARS_EXCEPTIONS = {
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2: {"Gemini", "Virgo"}, 12: {"Taurus", "Libra"},
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4: {"Aries", "Scorpio"}, 7: {"Capricorn", "Cancer"},
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8: {"Sagittarius", "Pisces"},
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}
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MARS_EXEMPT_SIGNS = {"Aquarius", "Leo"}
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EXALTATION_DEG = {
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'Sun': 10.0, 'Moon': 33.0, 'Mars': 298.0, 'Mercury': 165.0,
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'Jupiter': 95.0, 'Venus': 357.0, 'Saturn': 200.0
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}
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OWN_SIGNS = {
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'Sun': {'Leo'}, 'Moon': {'Cancer'}, 'Mars': {'Aries', 'Scorpio'},
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'Mercury': {'Gemini', 'Virgo'}, 'Jupiter': {'Sagittarius', 'Pisces'},
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'Venus': {'Taurus', 'Libra'}, 'Saturn': {'Capricorn', 'Aquarius'}
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}
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# ============================================================================
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# 辅助函数
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# ============================================================================
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def get_nakshatra(moon_lon: float) -> Dict:
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"""从月亮经度计算星宿索引、名称和 pada"""
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nak_span = 360.0 / 27 # 13.333°
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nak_idx = int(moon_lon / nak_span) % 27
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pada = int(((moon_lon % nak_span) / nak_span) * 4) + 1
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return {
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"index": nak_idx,
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"name": NAKSHATRA_NAMES[nak_idx],
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"lord": NAKSHATRA_LORDS[nak_idx],
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"pada": pada,
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}
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# ============================================================================
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# 8 个标准 Kuta
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# ============================================================================
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def calc_varna(m_sign: str, f_sign: str) -> float:
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m_varna = VARNA.get(m_sign, 4)
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f_varna = VARNA.get(f_sign, 4)
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return 1.0 if m_varna <= f_varna else 0.0
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def calc_vashya(m_sign: str, f_sign: str) -> float:
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if m_sign == f_sign:
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return 2.0
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m_type = VASHYA_TYPE.get(m_sign, "Manava")
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f_type = VASHYA_TYPE.get(f_sign, "Manava")
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return VASHYA_MATRIX.get((m_type, f_type), 1.0)
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def calc_tara(m_nak_idx: int, f_nak_idx: int) -> float:
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m_to_f = (f_nak_idx - m_nak_idx) % 9
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f_to_m = (m_nak_idx - f_nak_idx) % 9
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pts = 0.0
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if m_to_f not in (2, 4, 6): pts += 1.5
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if f_to_m not in (2, 4, 6): pts += 1.5
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return pts
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def calc_yoni(m_nak_idx: int, f_nak_idx: int) -> float:
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m_yoni = YONI_ANIMALS[m_nak_idx]
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f_yoni = YONI_ANIMALS[f_nak_idx]
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if m_yoni == f_yoni:
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return 4.0
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if YONI_ENEMIES.get(m_yoni) == f_yoni:
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return 0.0
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return 2.0
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def calc_graha_maitri(m_sign: str, f_sign: str) -> float:
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m_lord = SIGN_LORDS.get(m_sign, '')
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f_lord = SIGN_LORDS.get(f_sign, '')
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def _friendship(p1, p2):
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if p1 == p2:
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return 1.0
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rel = FRIENDSHIP.get(p1, {})
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if p2 in rel.get('friend', []):
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return 1.0
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if p2 in rel.get('enemy', []):
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return 0.0
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return 0.5
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m_to_f = _friendship(m_lord, f_lord)
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f_to_m = _friendship(f_lord, m_lord)
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total = m_to_f + f_to_m
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if total == 2.0: return 5.0
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if total == 1.5: return 4.0
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if total == 1.0: return 3.0
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if total == 0.5: return 1.0
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return 0.0
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def calc_gana(m_nak_idx: int, f_nak_idx: int) -> float:
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m_gana = GANA[m_nak_idx]
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f_gana = GANA[f_nak_idx]
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if m_gana == f_gana: return 6.0
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if m_gana == "Deva" and f_gana == "Manushya": return 6.0
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if m_gana == "Manushya" and f_gana == "Deva": return 5.0
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if m_gana == "Rakshasa" and f_gana == "Manushya": return 0.0
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if f_gana == "Rakshasa" and m_gana == "Manushya": return 0.0
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if m_gana == "Rakshasa" and f_gana == "Deva": return 1.0
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if f_gana == "Rakshasa" and m_gana == "Deva": return 0.0
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return 0.0
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def calc_bhakoot(m_sign: str, f_sign: str) -> float:
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m_idx = SIGNS.index(m_sign) if m_sign in SIGNS else 0
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f_idx = SIGNS.index(f_sign) if f_sign in SIGNS else 0
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diff = (f_idx - m_idx) % 12 + 1
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if diff in (1, 7, 3, 11, 4, 10):
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return 7.0
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return 0.0
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def calc_nadi(m_nak_idx: int, f_nak_idx: int) -> float:
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m_nadi = NADI[m_nak_idx]
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f_nadi = NADI[f_nak_idx]
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return 8.0 if m_nadi != f_nadi else 0.0
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# ============================================================================
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# 附加 Kuta
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# ============================================================================
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def calc_mahendra(m_nak_idx: int, f_nak_idx: int) -> str:
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count = ((m_nak_idx - f_nak_idx) % 27) + 1
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return "good" if count in (4, 7, 10, 13, 16, 19, 22, 25) else "bad"
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def calc_stree_deergha(m_nak_idx: int, f_nak_idx: int) -> str:
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count = ((m_nak_idx - f_nak_idx) % 27) + 1
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return "good" if count >= 9 else "bad"
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def calc_vedha(m_nak_idx: int, f_nak_idx: int) -> str:
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for a, b in VEDHA_PAIRS:
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if (m_nak_idx == a and f_nak_idx == b) or (m_nak_idx == b and f_nak_idx == a):
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return "bad"
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return "good"
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def calc_rajju(m_nak_idx: int, f_nak_idx: int) -> Dict:
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def _group(idx):
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for g, indices in RAJJU_GROUPS.items():
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if idx in indices:
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return g
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return None
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m_group = _group(m_nak_idx)
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f_group = _group(f_nak_idx)
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if m_group and f_group and m_group == f_group:
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return {"result": "bad", "group": m_group, "effect": RAJJU_EFFECTS.get(m_group, "")}
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return {"result": "good", "group": None, "effect": ""}
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def calc_bad_constellations(m_nak_idx: int, m_pada: int, f_nak_idx: int, f_pada: int) -> Dict:
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issues = []
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if m_nak_idx == 18 and m_pada == 1:
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issues.append("Male born in Moola 1st pada — risk to father-in-law.")
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if f_nak_idx == 18 and f_pada == 1:
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issues.append("Female born in Moola 1st pada — risk to father-in-law.")
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if f_nak_idx == 8 and f_pada == 1:
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issues.append("Female born in Ashlesha 1st pada — risk to husband's mother.")
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if f_nak_idx == 17 and f_pada == 1:
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issues.append("Female born in Jyeshtha 1st pada — risk to husband's elder brother.")
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if f_nak_idx == 15 and f_pada == 4:
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issues.append("Female born in Vishakha 4th pada — risk to husband's younger brother.")
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return {"result": "bad" if issues else "good", "issues": issues}
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def calc_lagna_house7(chart1: Dict, chart2: Dict) -> Dict:
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m_lagna = chart1.get("lagna", {}).get("sign")
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f_lagna = chart2.get("lagna", {}).get("sign")
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m_moon = chart1.get("planets", {}).get("Moon", {}).get("sign")
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f_moon = chart2.get("planets", {}).get("Moon", {}).get("sign")
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if (f_moon and m_lagna and f_moon == m_lagna) or (m_moon and f_lagna and m_moon == f_lagna):
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return {"result": "good", "description": "Moon-Lagna cross match — mutual understanding."}
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if m_lagna and f_lagna:
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m_idx = SIGNS.index(m_lagna) if m_lagna in SIGNS else 0
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f_idx = SIGNS.index(f_lagna) if f_lagna in SIGNS else 0
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m_7th = SIGNS[(m_idx + 6) % 12]
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f_7th = SIGNS[(f_idx + 6) % 12]
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m_7lord = SIGN_LORDS[m_7th]
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f_7lord = SIGN_LORDS[f_7th]
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m_7lord_sign = chart1.get("planets", {}).get(m_7lord, {}).get("sign")
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f_7lord_sign = chart2.get("planets", {}).get(f_7lord, {}).get("sign")
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if m_7lord_sign == f_lagna or f_7lord_sign == m_lagna:
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return {"result": "good", "description": "7th house lord cross-placement — marriage stability."}
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return {"result": "neutral", "description": "No special Lagna-7th connection."}
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# ============================================================================
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# Kuja Dosha (Manglik 分析)
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# ============================================================================
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def _planet_dignity_level(planet_name: str, sign: str) -> str:
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exalt_sign = SIGNS[int(EXALTATION_DEG.get(planet_name, 999) / 30) % 12]
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debil_sign = SIGNS[int((EXALTATION_DEG.get(planet_name, 0) + 180) / 30) % 12]
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if sign == exalt_sign: return "exalted"
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if planet_name in OWN_SIGNS and sign in OWN_SIGNS[planet_name]: return "own"
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lord = SIGN_LORDS.get(sign, '')
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rel = FRIENDSHIP.get(planet_name, {})
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if lord in rel.get('friend', []): return "friendly"
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if lord in rel.get('enemy', []): return "enemy"
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if sign == debil_sign: return "debilitated"
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return "neutral"
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def calc_kuja_dosha(chart: Dict) -> Dict:
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"""计算完整的 Kuja Dosha（火星凶相分析）"""
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planets = chart.get("planets", {})
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dosha_scores_high = {
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"Mars": {"debilitated": 100, "enemy": 90, "neutral": 80, "friendly": 70, "own": 60, "exalted": 50},
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"Saturn": {"debilitated": 75, "enemy": 67.5, "neutral": 60, "friendly": 52.5, "own": 45, "exalted": 37.5},
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"Sun": {"debilitated": 50, "enemy": 45, "neutral": 40, "friendly": 35, "own": 30, "exalted": 25},
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}
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dosha_scores_low = {
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"Mars": {"debilitated": 50, "enemy": 45, "neutral": 40, "friendly": 35, "own": 30, "exalted": 25},
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"Saturn": {"debilitated": 37.5, "enemy": 33.75, "neutral": 30, "friendly": 26.25, "own": 22.5, "exalted": 18.75},
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"Sun": {"debilitated": 25, "enemy": 22.5, "neutral": 20, "friendly": 17.5, "own": 15, "exalted": 12.5},
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}
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total = 0.0
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breakdown = {}
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for p_name in ("Mars", "Saturn", "Rahu", "Ketu", "Sun"):
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pd = planets.get(p_name)
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if not pd:
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continue
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house = pd.get("house", 0)
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sign = pd.get("sign", "")
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if house not in DOSHA_HOUSES:
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continue
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# Mars exceptions
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if p_name == "Mars":
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if sign in MARS_EXEMPT_SIGNS:
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continue
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if house in MARS_EXCEPTIONS and sign in MARS_EXCEPTIONS[house]:
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continue
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dig = _planet_dignity_level(p_name, sign)
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score_table = dosha_scores_high if house in HIGH_SEVERITY_HOUSES else dosha_scores_low
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table = score_table.get(p_name, score_table.get("Saturn", {}))
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score = table.get(dig, 60 if house in HIGH_SEVERITY_HOUSES else 30)
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if score > 0:
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breakdown[p_name] = {"house": house, "sign": sign, "dignity": dig, "score": score}
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total += score
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return {"total_score": round(total, 2), "breakdown": breakdown, "is_manglik": total > 0}
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def match_kuja_dosha(male_score: float, female_score: float) -> Dict:
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diff = male_score - female_score
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if abs(diff) <= 5:
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return {"result": "good", "description": "Kuja Dosha balanced."}
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if diff < -5:
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return {"result": "bad", "description": "Female has significantly more Kuja Dosha."}
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if female_score > 0 and diff < female_score * 0.25:
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return {"result": "acceptable", "description": "Male has more Kuja Dosha but within tolerance."}
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return {"result": "bad", "description": "Male has significantly more Kuja Dosha."}
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# ============================================================================
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# 主函数
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# ============================================================================
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def calculate_ashtakoot(male_moon_lon: float, female_moon_lon: float,
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male_chart: Optional[Dict] = None,
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female_chart: Optional[Dict] = None) -> Dict:
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"""
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完整的 Ashtakoot 36点合婚 + 附加 Kuta + Kuja Dosha
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Args:
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male_moon_lon: 男方月亮恒星黄道经度
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female_moon_lon: 女方月亮恒星黄道经度
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male_chart: 男方完整星盘（可选，用于附加 Kuta）
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female_chart: 女方完整星盘（可选，用于附加 Kuta）
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"""
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m_nak = get_nakshatra(male_moon_lon)
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f_nak = get_nakshatra(female_moon_lon)
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m_nak_idx = m_nak["index"]
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f_nak_idx = f_nak["index"]
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m_sign_idx = int((male_moon_lon % 360) / 30)
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f_sign_idx = int((female_moon_lon % 360) / 30)
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m_sign = SIGNS[m_sign_idx]
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f_sign = SIGNS[f_sign_idx]
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# 8 标准 Kuta
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scores = {
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"Varna": calc_varna(m_sign, f_sign),
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"Vashya": calc_vashya(m_sign, f_sign),
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"Tara": calc_tara(m_nak_idx, f_nak_idx),
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"Yoni": calc_yoni(m_nak_idx, f_nak_idx),
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"GrahaMaitri": calc_graha_maitri(m_sign, f_sign),
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"Gana": calc_gana(m_nak_idx, f_nak_idx),
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"Bhakoot": calc_bhakoot(m_sign, f_sign),
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"Nadi": calc_nadi(m_nak_idx, f_nak_idx),
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}
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total_score = sum(scores.values())
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# 附加 Kuta
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rajju_result = calc_rajju(m_nak_idx, f_nak_idx)
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additional_kutas = {
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"Mahendra": calc_mahendra(m_nak_idx, f_nak_idx),
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"StreeDeergha": calc_stree_deergha(m_nak_idx, f_nak_idx),
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"Vedha": calc_vedha(m_nak_idx, f_nak_idx),
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"Rajju": rajju_result,
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"BadConstellations": calc_bad_constellations(
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m_nak_idx, m_nak.get("pada", 0), f_nak_idx, f_nak.get("pada", 0)),
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}
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# 星盘依赖的 Kuta
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kuja_male = None
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kuja_female = None
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kuja_match = None
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if male_chart and female_chart:
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additional_kutas["LagnaHouse7"] = calc_lagna_house7(male_chart, female_chart)
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kuja_male = calc_kuja_dosha(male_chart)
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kuja_female = calc_kuja_dosha(female_chart)
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kuja_match = match_kuja_dosha(
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kuja_male.get("total_score", 0), kuja_female.get("total_score", 0))
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# 例外逻辑
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exceptions = []
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if scores["Nadi"] == 0:
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if scores["Bhakoot"] > 0 and rajju_result["result"] == "good":
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exceptions.append("Nadi Dosha mitigated by good Bhakoot and Rajju.")
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if rajju_result["result"] == "bad":
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if (scores["GrahaMaitri"] >= 4.0 and scores["Bhakoot"] > 0 and
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scores["Tara"] >= 1.5 and additional_kutas["Mahendra"] == "good"):
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exceptions.append("Rajju Dosha mitigated by good Graha Maitri, Bhakoot, Tara, and Mahendra.")
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if additional_kutas["StreeDeergha"] == "bad":
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if scores["Bhakoot"] > 0 and scores["GrahaMaitri"] >= 4.0:
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exceptions.append("Stree Deergha Dosha mitigated by good Bhakoot and Graha Maitri.")
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# 综合判定
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is_match = total_score >= 18.0 and (scores["Nadi"] > 0 or len(exceptions) > 0)
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return {
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"method": "Ashtakoot 36-point Matching + Additional Kutas (v6.9.12, MIT: dashaflow)",
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"male_details": {
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"moon_sign": m_sign,
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"nakshatra": m_nak["name"],
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"nakshatra_pada": m_nak["pada"],
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"gana": GANA[m_nak_idx],
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"nadi": NADI[m_nak_idx],
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"yoni": YONI_ANIMALS[m_nak_idx],
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},
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"female_details": {
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"moon_sign": f_sign,
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"nakshatra": f_nak["name"],
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"nakshatra_pada": f_nak["pada"],
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"gana": GANA[f_nak_idx],
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"nadi": NADI[f_nak_idx],
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"yoni": YONI_ANIMALS[f_nak_idx],
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},
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"scores": scores,
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"total_score": total_score,
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"max_score": 36.0,
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"match_percentage": round(total_score / 36.0 * 100, 1),
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"additional_kutas": additional_kutas,
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"exceptions": exceptions,
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"kuja_dosha_male": kuja_male,
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"kuja_dosha_female": kuja_female,
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"kuja_dosha_match": kuja_match,
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"is_match_approved": is_match,
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}
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