732642856
624 lines
24 KiB
Python
624 lines
24 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Yogas / Doshas / Special Lagnas 计算模块 v6.0.14
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支持:
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- Raj Yogas: 王者瑜伽（主星互涉形成权力格局）
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- Dhana Yogas: 财富瑜伽（2/11宫主与吉星组合）
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- Pancha Mahapurusha Yogas: 五王瑜伽（吉星在角宫入庙）
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- Neecha Bhanga Raj Yoga: 落陷解除王者瑜伽
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- Mangal Dosha (Kuja Dosha): 火星煞（火星在1/2/4/7/8/12宫）
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- Kaal Sarp Dosha: 时间蛇煞（所有行星在Rahu-Ketu轴线一侧）
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- Pitra Dosha: 父辈煞（Sun与Rahu合相/受克）
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- Sade Sati: 土星七年（土星过Moon前后各1星座）
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- Arudha Lagna (AL): 镜像上升（从Lagna看Lagna主的落点）
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- Upapada Lagna (UL): 配偶镜像上升（从12宫看12宫主的落点）
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"""
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from typing import Dict, List, Tuple, 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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SIGN_LORDS = {'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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# 吉星/凶星分类
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NATURAL_BENEFICS = {'Jupiter', 'Venus', 'Mercury', 'Moon'}
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NATURAL_MALEFICS = {'Saturn', 'Mars', 'Sun', 'Rahu', 'Ketu'}
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def calc_raj_yogas(planets_data: Dict, houses: Dict) -> Dict:
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"""
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计算 Raj Yogas（王者瑜伽）——权力、地位、社会影响力格局
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经典 Raj Yoga 形成条件：
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1. 角宫主（1/4/7/10宫主）与三方宫主（5/9宫主）结合
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2. 角宫主与角宫主结合
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3. 三方宫主与三方宫主结合
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4. 以上组合发生在角宫/三方宫/11宫
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返回：检测到的 Raj Yogas 列表
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"""
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results = {'yogas': [], 'summary': ''}
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# 提取宫主星信息
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house_lords = {}
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for h in range(1, 13):
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lord_key = f'H{h}_Lord'
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if lord_key in houses:
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house_lords[h] = houses[lord_key]
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# 检查每对宫主星的组合
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kendras = [1, 4, 7, 10] # 角宫
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trikonas = [5, 9] # 三方宫
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def _get_lord_sign_lord(house_num):
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"""获取某宫宫主星及其所在宫位"""
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lkey = f'H{house_num}_Lord'
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if lkey not in houses:
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return None, None
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lord = houses[lkey]
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# 找lord在哪里（简化：返回lord所在宫位）
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for pname, pdata in planets_data.items():
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if pname == lord and isinstance(pdata, dict) and 'house' in pdata:
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return lord, pdata['house']
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return lord, None
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# 检查条件1：角宫主 × 三方宫主
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for k_house in kendras:
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for t_house in trikonas:
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k_lord, k_lord_house = _get_lord_sign_lord(k_house)
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t_lord, t_lord_house = _get_lord_sign_lord(t_house)
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if not k_lord or not t_lord:
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continue
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# 检查两主星是否在同一宫或互看对方宫
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# 简化：检查两主星所在宫位是否形成权力宫（角/三方/11）
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if k_lord_house and t_lord_house:
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power_houses = kendras + trikonas + [11]
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if k_lord_house in power_houses or t_lord_house in power_houses:
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yoga = {
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'type': 'Raj Yoga',
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'combination': f'H{k_house}_Lord({k_lord}) + H{t_house}_Lord({t_lord})',
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'formation_house': k_lord_house,
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'strength': 'strong' if k_lord_house in kendras else 'moderate',
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'interpretation': f'Raj Yoga——{k_lord}(H{k_house}主)与{t_lord}(H{t_house}主)结合，权力与地位格局',
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}
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results['yogas'].append(yoga)
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results['summary'] = f"Raj Yoga检测：共{len(results['yogas'])}个格局"
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return results
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def calc_dhana_yogas(planets_data: Dict, houses: Dict) -> Dict:
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"""
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计算 Dhana Yogas（财富瑜伽）——财富积累格局
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经典 Dhana Yoga 形成条件：
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1. 2宫主（财富宫主）与吉星/11宫主结合
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2. 11宫主（收益宫主）与吉星/2宫主结合
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3. 以上组合发生在2/11/角宫/三方宫
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返回：检测到的 Dhana Yogas 列表
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"""
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results = {'yogas': [], 'summary': ''}
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# 2宫主和11宫主
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h2_lord = houses.get('H2_Lord', '')
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h11_lord = houses.get('H11_Lord', '')
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if not h2_lord or not h11_lord:
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results['summary'] = 'Dhana Yoga检测：缺少2/11宫主信息'
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return results
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# 检查2宫主和11宫主的组合
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# 找h2_lord和h11_lord的宫位
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h2_lord_house = None
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h11_lord_house = None
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for pname, pdata in planets_data.items():
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if pname == h2_lord and isinstance(pdata, dict) and 'house' in pdata:
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h2_lord_house = pdata['house']
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if pname == h11_lord and isinstance(pdata, dict) and 'house' in pdata:
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h11_lord_house = pdata['house']
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if h2_lord_house and h11_lord_house:
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wealth_houses = [2, 11, 1, 4, 7, 10, 5, 9]
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if h2_lord_house in wealth_houses or h11_lord_house in wealth_houses:
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yoga = {
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'type': 'Dhana Yoga',
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'combination': f'H2_Lord({h2_lord}) + H11_Lord({h11_lord})',
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'formation_house': h2_lord_house,
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'strength': 'strong' if h2_lord_house in [2, 11] else 'moderate',
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'interpretation': f'Dhana Yoga——{h2_lord}(H2主)与{h11_lord}(H11主)结合，财富积累格局',
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}
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results['yogas'].append(yoga)
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results['summary'] = f"Dhana Yoga检测：共{len(results['yogas'])}个格局"
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return results
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def calc_pancha_mahapurusha_yoga(planets_data: Dict) -> Dict:
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"""
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计算 Pancha Mahapurusha Yogas（五王瑜伽）
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条件：5颗吉星（Mars/Mercury/Jupiter/Venus/Saturn）在角宫（1/4/7/10）
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且入庙（在自家星座）或擢升（在擢升星座）
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5种瑜伽：
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- Ruchaka Yoga: Mars在角宫入庙/擢升
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- Bhadra Yoga: Mercury在角宫入庙/擢升
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- Hamsa Yoga: Jupiter在角宫入庙/擢升
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- Malavya Yoga: Venus在角宫入庙/擢升
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- Sasa Yoga: Saturn在角宫入庙/擢升
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"""
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results = {'yogas': [], 'summary': ''}
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# 擢升星座表
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exaltation = {'Mars': 'Capricorn', 'Mercury': 'Virgo', 'Jupiter': 'Cancer',
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'Venus': 'Pisces', 'Saturn': 'Libra'}
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# 入庙星座表
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own_sign = {'Mars': ['Aries', 'Scorpio'], 'Mercury': ['Gemini', 'Virgo'],
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'Jupiter': ['Sagittarius', 'Pisces'], 'Venus': ['Taurus', 'Libra'],
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'Saturn': ['Capricorn', 'Aquarius']}
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for pname in ['Mars', 'Mercury', 'Jupiter', 'Venus', 'Saturn']:
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pdata = planets_data.get(pname, {})
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if not isinstance(pdata, dict) or 'house' not in pdata:
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continue
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house = pdata['house']
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sign = pdata.get('sign', '')
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# 检查是否在角宫
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if house not in [1, 4, 7, 10]:
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continue
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# 检查是否入庙或擢升
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is_exalted = (sign == exaltation.get(pname, ''))
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is_own = (sign in own_sign.get(pname, []))
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if is_exalted or is_own:
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yoga_names = {
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'Mars': 'Ruchaka Yoga', 'Mercury': 'Bhadra Yoga',
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'Jupiter': 'Hamsa Yoga', 'Venus': 'Malavya Yoga',
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'Saturn': 'Sasa Yoga',
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}
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yoga = {
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'type': yoga_names[pname],
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'planet': pname,
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'house': house,
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'sign': sign,
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'status': 'exalted' if is_exalted else 'own_sign',
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'strength': 'very strong' if is_exalted else 'strong',
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'interpretation': f'{yoga_names[pname]}——{pname}在{house}宫{sign}（{"擢升" if is_exalted else "入庙"}），五王瑜伽之一',
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}
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results['yogas'].append(yoga)
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results['summary'] = f"Pancha Mahapurusha Yoga检测：共{len(results['yogas'])}个（最多5个）"
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return results
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def calc_nicha_bhanga_raj_yoga(planets_data: Dict, houses: Dict) -> Dict:
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"""
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计算 Neecha Bhanga Raj Yoga（落陷解除王者瑜伽）
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条件（需同时满足）：
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1. 某行星落陷（在落陷星座）
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2. 该行星的落陷星座主星在某个角宫/三方宫
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3. 或者：落陷星座主星与落陷行星形成互容
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经典：落陷+落陷解除 = 王者瑜伽（先抑后扬，大器晚成）
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"""
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results = {'yogas': [], 'summary': ''}
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# 落陷星座表
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debilitation = {'Mars': 'Cancer', 'Mercury': 'Pisces', 'Jupiter': 'Capricorn',
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'Venus': 'Virgo', 'Saturn': 'Aries', 'Sun': 'Libra',
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'Moon': 'Scorpio'}
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for pname, deb_sign in debilitation.items():
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pdata = planets_data.get(pname, {})
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if not isinstance(pdata, dict) or 'sign' not in pdata:
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continue
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sign = pdata['sign']
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if sign != deb_sign:
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continue # 没落陷
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# 检查落陷解除条件：
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# 条件A：落陷星座主星在角宫/三方宫
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deb_lord = SIGN_LORDS.get(deb_sign, '')
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deb_lord_data = planets_data.get(deb_lord, {})
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deb_lord_house = deb_lord_data.get('house') if isinstance(deb_lord_data, dict) else None
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condition_met = False
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if deb_lord_house and deb_lord_house in [1, 4, 7, 10, 5, 9]:
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condition_met = True
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# 条件B：落陷行星与落陷星座主星互容（在两星星座中）
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# 简化：检查两星是否在同一宫
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p_house = pdata.get('house')
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if deb_lord_house and p_house and deb_lord_house == p_house:
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condition_met = True
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if condition_met:
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yoga = {
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'type': 'Neecha Bhanga Raj Yoga',
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'planet': pname,
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'debilitated_sign': deb_sign,
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'debility_lord': deb_lord,
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'lord_house': deb_lord_house,
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'interpretation': f'Neecha Bhanga Raj Yoga——{pname}在{deb_sign}落陷但解除（{deb_lord}在{deb_lord_house}宫），先抑后扬大器晚成',
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}
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results['yogas'].append(yoga)
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results['summary'] = f"Neecha Bhanga Raj Yoga检测：共{len(results['yogas'])}个"
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return results
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def calc_mangal_dosha(planets_data: Dict, mars_house: int) -> Dict:
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"""
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计算 Mangal Dosha / Kuja Dosha（火星煞）
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规则：Mars在1/2/4/7/8/12宫 → Mangal Dosha
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影响：婚姻延迟/困难，配偶健康 issues
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缓和条件：
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- Mars在自身星座（Aries/Scorpio）→ 部分缓和
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- Mars擢升（Capricorn）→ 完全解除
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- 第七宫/第七宫主有吉星→ 部分缓和
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- 双鱼/巨蟹上升 → 更麻烦（Mars在这些星座更凶）
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"""
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results = {'has_dosha': False, 'severity': 'none', 'remedies': []}
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bad_houses = [1, 2, 4, 7, 8, 12]
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if mars_house not in bad_houses:
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results['summary'] = '无Mangal Dosha（Mars不在煞宫）'
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return results
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results['has_dosha'] = True
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mars_data = planets_data.get('Mars', {})
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mars_sign = mars_data.get('sign', '') if isinstance(mars_data, dict) else ''
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# 判断严重程度
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if mars_house in [7, 8]:
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results['severity'] = 'high' # 7/8宫最凶
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elif mars_house in [1, 2]:
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results['severity'] = 'moderate'
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else:
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results['severity'] = 'low'
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# 检查缓和条件
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remedies = []
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if mars_sign in ['Aries', 'Scorpio']:
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remedies.append('Mars在自身星座，部分缓和')
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results['severity'] = 'moderate' if results['severity'] == 'high' else 'low'
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if mars_sign == 'Capricorn':
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remedies.append('Mars擢升，完全解除')
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results['severity'] = 'none'
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results['has_dosha'] = False
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results['remedies'] = remedies
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results['mars_house'] = mars_house
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results['mars_sign'] = mars_sign
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results['summary'] = (f"{'无' if not results['has_dosha'] else '有'}Mangal Dosha——"
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f"Mars在{mars_house}宫{mars_sign}，严重程度：{results['severity']}")
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return results
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def calc_kaal_sarp_dosha(planets_data: Dict) -> Dict:
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"""
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计算 Kaal Sarp Dosha（时间蛇煞）
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规则：所有行星（除Rahu/Ketu外）都在Rahu-Ketu轴线的同一侧
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形成"蛇吞"格局，带来阻碍、延迟、心理压力
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类型：
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- 完全Kaal Sarp：所有行星在Rahu-Ketu之间（单一侧）
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- 部分Kaal Sarp：大部分行星在Rahu-Ketu之间
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"""
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results = {'has_dosha': False, 'type': 'none', 'affected_houses': []}
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rahu_data = planets_data.get('Rahu', {})
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ketu_data = planets_data.get('Ketu', {})
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if not isinstance(rahu_data, dict) or 'house' not in rahu_data:
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results['summary'] = 'Rahu位置未知，无法判断Kaal Sarp Dosha'
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return results
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rahu_house = rahu_data['house']
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ketu_house = ketu_data.get('house', 0) if isinstance(ketu_data, dict) else 0
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# 确定Rahu-Ketu轴线的"之间"范围
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# 简化处理：假设Rahu-Ketu在一条直线上（相差6宫）
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axis_houses = list(range(rahu_house, rahu_house + 6))
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axis_houses = [(h - 1) % 12 + 1 for h in axis_houses] # 转为1-12
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# 统计在"之间"的行星数量
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planets_in_axis = []
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planets_outside = []
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for pname in ['Sun', 'Moon', 'Mars', 'Mercury', 'Jupiter', 'Venus', 'Saturn']:
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pdata = planets_data.get(pname, {})
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if not isinstance(pdata, dict) or 'house' not in pdata:
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continue
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p_house = pdata['house']
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if p_house in axis_houses:
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planets_in_axis.append(pname)
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else:
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planets_outside.append(pname)
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total_planets = len(planets_in_axis) + len(planets_outside)
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if len(planets_in_axis) == total_planets and total_planets >= 7:
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results['has_dosha'] = True
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results['type'] = 'full'
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results['summary'] = f'完全Kaal Sarp Dosha——所有{total_planets}颗行星在Rahu({rahu_house})—Ketu轴线之间'
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elif len(planets_in_axis) >= total_planets * 0.7:
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results['has_dosha'] = True
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results['type'] = 'partial'
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results['summary'] = f'部分Kaal Sarp Dosha——{len(planets_in_axis)}/{total_planets}颗行星在轴线之间'
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else:
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results['has_dosha'] = False
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results['type'] = 'none'
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results['summary'] = '无Kaal Sarp Dosha'
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results['planets_in_axis'] = planets_in_axis
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results['planets_outside'] = planets_outside
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results['rahu_house'] = rahu_house
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results['ketu_house'] = ketu_house
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return results
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def calc_pitra_dosha(planets_data: Dict, sun_house: int) -> Dict:
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"""
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计算 Pitra Dosha（父辈煞）
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规则：
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- Sun与Rahu合相（同宫或相邻宫）→ Pitra Dosha
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- Sun受土星/火星克 → 可能Pitra Dosha
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- 第9宫/第9宫主受克 → 父辈煞
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影响：父辈业力、祖先未解问题、子女健康/生育问题
|
||
"""
|
||
results = {'has_dosha': False, 'indicators': []}
|
||
|
||
sun_data = planets_data.get('Sun', {})
|
||
rahu_data = planets_data.get('Rahu', {})
|
||
|
||
if not isinstance(sun_data, dict) or 'house' not in sun_data:
|
||
results['summary'] = 'Sun位置未知，无法判断Pitra Dosha'
|
||
return results
|
||
|
||
sun_house = sun_data['house']
|
||
sun_sign = sun_data.get('sign', '')
|
||
|
||
# 检查Sun-Rahu合相
|
||
if isinstance(rahu_data, dict) and 'house' in rahu_data:
|
||
rahu_house = rahu_data['house']
|
||
if abs(sun_house - rahu_house) <= 1 or (sun_house == rahu_house):
|
||
results['has_dosha'] = True
|
||
results['indicators'].append(f'Sun({sun_house}宫)与Rahu({rahu_house}宫)合相/相邻')
|
||
|
||
# 检查Sun受克（土星/火星在Sun宫或相邻宫）
|
||
for malefic in ['Saturn', 'Mars']:
|
||
mdata = planets_data.get(malefic, {})
|
||
if isinstance(mdata, dict) and 'house' in mdata:
|
||
m_house = mdata['house']
|
||
if abs(sun_house - m_house) <= 1:
|
||
results['has_dosha'] = True
|
||
results['indicators'].append(f'{malefic}({m_house}宫)克Sun({sun_house}宫)')
|
||
|
||
results['sun_house'] = sun_house
|
||
results['sun_sign'] = sun_sign
|
||
if not results['indicators']:
|
||
results['summary'] = '无Pitra Dosha明显迹象'
|
||
else:
|
||
results['summary'] = f'有Pitra Dosha迹象：{"; ".join(results["indicators"][:2])}'
|
||
return results
|
||
|
||
|
||
def calc_sade_sati(moon_sign: str, current_year: int = 2026) -> Dict:
|
||
"""
|
||
计算 Sade Sati（土星七年）
|
||
|
||
规则：土星过Moon所在星座及其前后各1星座，共约7.5年
|
||
每个阶段影响不同：
|
||
- 第一阶段（土星过前一星座）：心理压力开始
|
||
- 第二阶段（土星过Moon星座）：最困难，健康/关系/事业挑战
|
||
- 第三阶段（土星过后一星座）：压力缓解，但有收获
|
||
|
||
参数：moon_sign（Moon星座），current_year（当前年份，用于判断是否在进行中）
|
||
|
||
返回：Sade Sati阶段信息
|
||
"""
|
||
results = {'is_active': False, 'phase': 'none', 'summary': ''}
|
||
|
||
if not moon_sign or moon_sign not in SIGNS:
|
||
results['summary'] = 'Moon星座未知，无法判断Sade Sati'
|
||
return results
|
||
|
||
moon_idx = SIGNS.index(moon_sign)
|
||
|
||
# 简化：只判断当前年份Saturn是否在Moon前后1星座
|
||
# 实际需要Saturn实时位置，这里只给框架
|
||
results['moon_sign'] = moon_sign
|
||
results['moon_idx'] = moon_idx
|
||
results['phases'] = {
|
||
'rising': SIGNS[(moon_idx - 1) % 12], # 前一星座
|
||
'peak': moon_sign, # Moon星座（最困难）
|
||
'setting': SIGNS[(moon_idx + 1) % 12], # 后一星座
|
||
}
|
||
results['summary'] = (f'Sade Sati阶段框架：上升期={results["phases"]["rising"]}，'
|
||
f'高峰期={results["phases"]["peak"]}（最困难），'
|
||
f'下降期={results["phases"]["setting"]}；'
|
||
f'需结合Saturn实际位置判断是否在进行中')
|
||
return results
|
||
|
||
|
||
def calc_arudha_lagna(asc_sign: str, asc_lord: str, planets_data: Dict) -> Dict:
|
||
"""
|
||
计算 Arudha Lagna (AL) —— 镜像上升点
|
||
|
||
规则：从Lagna（上升）看Lagna Lord（上升主星）的落点，
|
||
再从该落点的"镜像位置"得到AL
|
||
公式：AL = 从Asc看Lord的宫位数，再同样宫位数从Lord往外数
|
||
|
||
例子：Asc=Leo, Lord=Sun在10宫 → 从Asc(1)看Sun(10) = 9宫远
|
||
从Sun(10)再数9宫 = 10+9-1=18 → 18-12=6宫 → AL在6宫
|
||
|
||
意义：AL代表"他人如何看待命主"，镜像自我认知
|
||
"""
|
||
results = {'arudha_lagna': None, 'al_house': None, 'interpretation': ''}
|
||
|
||
if not asc_sign or asc_sign not in SIGNS:
|
||
results['summary'] = 'Asc星座未知，无法计算Arudha Lagna'
|
||
return results
|
||
|
||
asc_idx = SIGNS.index(asc_sign)
|
||
|
||
# 找Asc Lord的宫位
|
||
lord_data = planets_data.get(asc_lord, {})
|
||
if not isinstance(lord_data, dict) or 'house' not in lord_data:
|
||
results['summary'] = f'Asc Lord({asc_lord})宫位未知，无法计算AL'
|
||
return results
|
||
|
||
lord_house = lord_data['house'] # 1-12
|
||
lord_idx = (lord_house - 1) # 转为0-11
|
||
|
||
# 计算镜像：从Asc到Lord的宫位数 = lord_idx - asc_idx (mod 12)
|
||
distance = (lord_idx - asc_idx) % 12 # 0-11
|
||
if distance == 0:
|
||
distance = 12 # 同宫=12宫远
|
||
|
||
# AL = 从Lord再数同样距离
|
||
al_idx = (lord_idx + distance) % 12
|
||
al_house = al_idx + 1 # 转回1-12
|
||
|
||
al_sign = SIGNS[al_idx]
|
||
|
||
results['arudha_lagna'] = al_sign
|
||
results['al_house'] = al_house
|
||
results['distance'] = distance
|
||
results['lord_house'] = lord_house
|
||
results['interpretation'] = (
|
||
f'Arudha Lagna (AL) = {al_sign}（第{al_house}宫）——'
|
||
f'他人眼中的你；Asc={asc_sign}, Lord={asc_lord}在{lord_house}宫，距离={distance}'
|
||
)
|
||
results['summary'] = results['interpretation']
|
||
return results
|
||
|
||
|
||
def calc_upapada_lagna(asc_sign: str, house12_lord: str, planets_data: Dict) -> Dict:
|
||
"""
|
||
计算 Upapada Lagna (UL) —— 配偶镜像上升点
|
||
|
||
规则：从12宫（损失/海外/床事宫）看12宫主星的落点，
|
||
镜像计算方式同Arudha Lagna
|
||
公式：UL = 从12宫看12宫主星的宫位数，再从主星落点往外数同样宫位数
|
||
|
||
意义：UL代表"配偶/婚姻伙伴"，是婚姻质量的关键指标
|
||
UL受克/受损 → 婚姻困难
|
||
UL有吉星 → 婚姻幸福
|
||
"""
|
||
results = {'upapada': None, 'ul_house': None, 'interpretation': ''}
|
||
|
||
if not asc_sign or asc_sign not in SIGNS:
|
||
results['summary'] = 'Asc星座未知，无法计算Upapada'
|
||
return results
|
||
|
||
asc_idx = SIGNS.index(asc_sign)
|
||
h12_idx = (asc_idx + 11) % 12 # 12宫 index (0-11)
|
||
|
||
# 找12宫主星的宫位
|
||
lord_data = planets_data.get(house12_lord, {})
|
||
if not isinstance(lord_data, dict) or 'house' not in lord_data:
|
||
results['summary'] = f'12宫主星({house12_lord})宫位未知，无法计算UL'
|
||
return results
|
||
|
||
lord_house = lord_data['house'] # 1-12
|
||
lord_idx = (lord_house - 1) # 0-11
|
||
|
||
# 计算镜像：从12宫到12宫主星的宫位数
|
||
distance = (lord_idx - h12_idx) % 12
|
||
if distance == 0:
|
||
distance = 12
|
||
|
||
# UL = 从Lord再数同样距离
|
||
ul_idx = (lord_idx + distance) % 12
|
||
ul_house = ul_idx + 1
|
||
|
||
ul_sign = SIGNS[ul_idx]
|
||
|
||
results['upapada'] = ul_sign
|
||
results['ul_house'] = ul_house
|
||
results['distance'] = distance
|
||
results['lord_house'] = lord_house
|
||
results['interpretation'] = (
|
||
f'Upapada Lagna (UL) = {ul_sign}（第{ul_house}宫）——'
|
||
f'配偶/婚姻质量指标；12宫主星={house12_lord}在{lord_house}宫，距离={distance}'
|
||
)
|
||
results['summary'] = results['interpretation']
|
||
return results
|
||
|
||
|
||
def calc_all_yogas_doshas(planets_data: Dict, houses: Dict,
|
||
asc_sign: str, asc_lord: str,
|
||
moon_sign: str, moon_house: int,
|
||
mars_house: int, sun_house: int,
|
||
house12_lord: str) -> Dict:
|
||
"""
|
||
批量计算所有 Yogas + Doshas + Special Lagnas（v6.0.14 主入口）
|
||
|
||
参数：
|
||
planets_data: 行星数据字典
|
||
houses: 宫位信息字典
|
||
asc_sign: 上升星座
|
||
asc_lord: 上升主星
|
||
moon_sign: Moon星座
|
||
moon_house: Moon宫位
|
||
mars_house: Mars宫位
|
||
sun_house: Sun宫位
|
||
house12_lord: 12宫主星
|
||
|
||
返回：完整结果字典
|
||
"""
|
||
results = {}
|
||
|
||
# Yogas
|
||
results['raj_yogas'] = calc_raj_yogas(planets_data, houses)
|
||
results['dhana_yogas'] = calc_dhana_yogas(planets_data, houses)
|
||
results['pancha_mahapurusha'] = calc_pancha_mahapurusha_yoga(planets_data)
|
||
results['nicha_bhanga_raj'] = calc_nicha_bhanga_raj_yoga(planets_data, houses)
|
||
|
||
# Doshas
|
||
results['mangal_dosha'] = calc_mangal_dosha(planets_data, mars_house)
|
||
results['kaal_sarp_dosha'] = calc_kaal_sarp_dosha(planets_data)
|
||
results['pitra_dosha'] = calc_pitra_dosha(planets_data, sun_house)
|
||
results['sade_sati'] = calc_sade_sati(moon_sign)
|
||
|
||
# Special Lagnas
|
||
results['arudha_lagna'] = calc_arudha_lagna(asc_sign, asc_lord, planets_data)
|
||
results['upapada_lagna'] = calc_upapada_lagna(asc_sign, house12_lord, planets_data)
|
||
|
||
# 总结
|
||
total_yogas_count = (len(results['raj_yogas']['yogas']) +
|
||
len(results['dhana_yogas']['yogas']) +
|
||
len(results['pancha_mahapurusha']['yogas']) +
|
||
len(results['nicha_bhanga_raj']['yogas']))
|
||
has_dosha = any([
|
||
results['mangal_dosha']['has_dosha'],
|
||
results['kaal_sarp_dosha']['has_dosha'],
|
||
results['pitra_dosha']['has_dosha'],
|
||
])
|
||
|
||
results['summary'] = (
|
||
f"Yogas共{total_yogas_count}个；"
|
||
f"Doshas: Mangal={'有' if results['mangal_dosha']['has_dosha'] else '无'}"
|
||
f"/Kaal Sarp={'有' if results['kaal_sarp_dosha']['has_dosha'] else '无'}"
|
||
f"/Pitra={'有' if results['pitra_dosha']['has_dosha'] else '无'}"
|
||
)
|
||
|
||
return results
|