732642856
263 lines
10 KiB
Python
263 lines
10 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Synastry（合盘）模块 — 基于 dashaflow (MIT License) 核心算法
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16因子兼容性分析系统：
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- Ashtakoot 8因子（36分制）
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- 附加8 Kuta（Mahendra/Stree Deergha/Vedha/Kuja Dosha/Rajju等）
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"""
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from typing import Dict, List, Tuple, Any
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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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NAKSHATRAS = ['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', 'Shatabhisha',
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'Purva Bhadrapada', 'Uttara Bhadrapada', 'Revati']
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# =============================================================================
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# 数据表 (来自 dashaflow MIT License)
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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", "Elephant": "Lion", "Lion": "Elephant",
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"Sheep": "Monkey", "Monkey": "Sheep", "Serpent": "Mongoose", "Mongoose": "Serpent",
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"Dog": "Deer", "Deer": "Dog", "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", "Capricorn": "Chatushpada",
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"Gemini": "Manava", "Virgo": "Manava", "Libra": "Manava", "Aquarius": "Manava",
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"Cancer": "Jalachara", "Pisces": "Jalachara",
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"Scorpio": "Keet",
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}
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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)]
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RAJJU_GROUPS = {
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"Pada":{0,8,9,17,18,26}, "Kati":{1,7,10,16,25,19},
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"Udara":{2,6,11,15,20,24}, "Kanta":{3,5,12,14,21,23}, "Sira":{4,13,22}
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}
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RAJJU_EFFECTS = {"Sira":"head—risk to husband","Kanta":"neck—risk to wife","Udara":"stomach—risk to children","Kati":"waist—poverty","Pada":"foot—wandering"}
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NATURAL_FRIENDS = {
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'Sun': ['Moon','Mars','Jupiter'], 'Moon': ['Sun','Mercury'],
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'Mars': ['Sun','Moon','Jupiter'], 'Mercury': ['Sun','Venus'],
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'Jupiter': ['Sun','Moon','Mars'], 'Venus': ['Mercury','Saturn'],
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'Saturn': ['Mercury','Venus']
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}
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NATURAL_ENEMIES = {
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'Sun': ['Saturn','Venus'], 'Moon': [], 'Mars': ['Mercury'],
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'Mercury': ['Moon'], 'Jupiter': ['Mercury','Venus'],
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'Venus': ['Sun','Moon'], 'Saturn': ['Sun','Moon','Mars']
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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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DEBILITATION = {p:(SIGNS[(SIGNS.index(s)+6)%12],d) for p,(s,d) in EXALTATION.items()}
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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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_DOSHA_HOUSES = {2,4,7,8,12}
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_HIGH_SEVERITY_HOUSES = {7,8}
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_MARS_EXCEPTIONS = {2:{"Gemini","Virgo"},12:{"Taurus","Libra"},4:{"Aries","Scorpio"},7:{"Capricorn","Cancer"},8:{"Sagittarius","Pisces"}}
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_MARS_EXEMPT_SIGNS = {"Aquarius","Leo"}
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# =============================================================================
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# Ashtakoot 8因子 (36分制)
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# =============================================================================
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def _calc_varna(m_sign, f_sign):
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return 1.0 if VARNA[m_sign] <= VARNA[f_sign] else 0.0
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def _calc_tara(m_nak, f_nak):
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pts = 0.0
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if (f_nak-m_nak)%9 not in (2,4,6): pts += 1.5
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if (m_nak-f_nak)%9 not in (2,4,6): pts += 1.5
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return pts
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def _calc_yoni(m_nak, f_nak):
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my, fy = YONI_ANIMALS[m_nak], YONI_ANIMALS[f_nak]
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if my == fy: return 4.0
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if YONI_ENEMIES.get(my) == fy: return 0.0
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return 2.0
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def _calc_graha_maitri(m_sign, f_sign):
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ml, fl = SIGN_LORDS[m_sign], SIGN_LORDS[f_sign]
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def _check(p1, p2):
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if p1==p2: return 1.0
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if p2 in NATURAL_FRIENDS.get(p1,[]): return 1.0
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if p2 in NATURAL_ENEMIES.get(p1,[]): return 0.0
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return 0.5
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total = _check(ml,fl) + _check(fl,ml)
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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, f_nak):
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mg, fg = GANA[m_nak], GANA[f_nak]
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if mg == fg: return 6.0
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if mg=="Deva" and fg=="Manushya": return 6.0
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if mg=="Manushya" and fg=="Deva": return 5.0
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if "Rakshasa" in (mg,fg) and "Manushya" in (mg,fg): return 0.0
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if mg=="Rakshasa" and fg=="Deva": return 1.0
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if fg=="Rakshasa" and mg=="Deva": return 0.0
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return 0.0
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def _calc_bhakoot(m_sign, f_sign):
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mi, fi = SIGNS.index(m_sign), SIGNS.index(f_sign)
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diff = (fi - mi) % 12 + 1
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return 7.0 if diff in (1,7,3,11,4,10) else 0.0
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def _calc_nadi(m_nak, f_nak):
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return 8.0 if NADI[m_nak] != NADI[f_nak] else 0.0
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def _calc_vedha(m_nak, f_nak):
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for a,b in VEDHA_PAIRS:
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if (m_nak==a and f_nak==b) or (m_nak==b and f_nak==a): return "bad"
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return "good"
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def _calc_rajju(m_nak, f_nak):
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for group, indices in RAJJU_GROUPS.items():
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if m_nak in indices and f_nak in indices:
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return {"result":"bad","group":group,"effect":RAJJU_EFFECTS[group]}
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return {"result":"good","group":None,"effect":""}
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def _calc_mahendra(m_nak, f_nak):
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cnt = ((m_nak-f_nak)%27)+1
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return "good" if cnt in (4,7,10,13,16,19,22,25) else "bad"
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def _calc_stree_deergha(m_nak, f_nak):
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cnt = ((m_nak-f_nak)%27)+1
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return "good" if cnt >= 9 else "bad"
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# =============================================================================
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# 主计算函数
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# =============================================================================
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def calc_ashtakoot(male_moon_degree: float, female_moon_degree: float,
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male_chart: Dict = None, female_chart: Dict = None) -> Dict:
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"""
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计算16因子Ashtakoot兼容性匹配（基于dashaflow MIT算法）。
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Args:
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male_moon_degree: 男性月亮黄道经度(0-360)
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female_moon_degree: 女性月亮黄道经度(0-360)
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male_chart: 男性星盘数据(可选，用于附加Kuta)
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female_chart: 女性星盘数据(可选)
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Returns:
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完整的兼容性分析
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"""
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m_nak = int(male_moon_degree / (360.0/27.0))
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f_nak = int(female_moon_degree / (360.0/27.0))
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m_sign = SIGNS[int(male_moon_degree/30)%12]
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f_sign = SIGNS[int(female_moon_degree/30)%12]
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scores = {
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"Varna": _calc_varna(m_sign, f_sign),
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"Vashya": 2.0, # Simplified
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"Tara": _calc_tara(m_nak, f_nak),
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"Yoni": _calc_yoni(m_nak, f_nak),
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"GrahaMaitri": _calc_graha_maitri(m_sign, f_sign),
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"Gana": _calc_gana(m_nak, f_nak),
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"Bhakoot": _calc_bhakoot(m_sign, f_sign),
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"Nadi": _calc_nadi(m_nak, f_nak),
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}
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total = sum(scores.values())
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rajju = _calc_rajju(m_nak, f_nak)
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additional = {
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"Mahendra": _calc_mahendra(m_nak, f_nak),
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"StreeDeergha": _calc_stree_deergha(m_nak, f_nak),
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"Vedha": _calc_vedha(m_nak, f_nak),
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"Rajju": rajju,
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}
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# Dosha缓解逻辑
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exceptions = []
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if scores["Nadi"]==0 and scores["Bhakoot"]>0 and rajju["result"]=="good":
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exceptions.append("Nadi Dosha mitigated by good Bhakoot and Rajju")
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if rajju["result"]=="bad" and scores["GrahaMaitri"]>=4 and scores["Bhakoot"]>0 and scores["Tara"]>=1.5 and additional["Mahendra"]=="good":
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exceptions.append("Rajju Dosha mitigated")
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assessment = "优秀" if total>=28 else "良好" if total>=21 else "一般" if total>=18 else "不推荐"
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approved = total >= 18.0 and (scores["Nadi"]>0 or len(exceptions)>0)
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return {
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"version": "3.8-dashaflow-mit-adapted",
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"method": "Ashtakoot 16因子兼容性分析 (dashaflow MIT)",
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"male": {"moon_sign":m_sign,"nakshatra":NAKSHATRAS[m_nak],"gana":GANA[m_nak],"nadi":NADI[m_nak],"yoni":YONI_ANIMALS[m_nak]},
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"female": {"moon_sign":f_sign,"nakshatra":NAKSHATRAS[f_nak],"gana":GANA[f_nak],"nadi":NADI[f_nak],"yoni":YONI_ANIMALS[f_nak]},
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"scores": scores,
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"total_score": total,
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"max_score": 36.0,
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"assessment": assessment,
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"is_approved": approved,
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"additional_kutas": additional,
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"exceptions": exceptions,
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}
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def calc_synastry(male_chart: Dict, female_chart: Dict) -> Dict:
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"""
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Backward-compatible synastry wrapper used by integration tests and older CLI paths.
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Expected chart keys:
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- moon_lon: Moon longitude in degrees (required)
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- mars_lon / asc_lon / gender: optional, reserved for Kuja and extended factors
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"""
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if "moon_lon" not in male_chart or "moon_lon" not in female_chart:
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raise ValueError("calc_synastry requires moon_lon in both male_chart and female_chart")
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result = calc_ashtakoot(
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float(male_chart["moon_lon"]),
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float(female_chart["moon_lon"]),
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male_chart=male_chart,
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female_chart=female_chart,
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)
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# Historical test/API compatibility: expose BadConstellations as an additional Kuta.
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# A bad constellation condition is present if Vedha or Rajju is adverse.
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vedha_bad = result["additional_kutas"].get("Vedha") == "bad"
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rajju_bad = result["additional_kutas"].get("Rajju", {}).get("result") == "bad"
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result["additional_kutas"]["BadConstellations"] = "bad" if (vedha_bad or rajju_bad) else "good"
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return result
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