732642856
876 lines
35 KiB
Python
876 lines
35 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Jaimini占星体系模块 v1.2
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Parashara传承中的Jaimini子系统
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支持:
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- Chara Karaka: 7/8个功能指示星（按度数排序）
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- Arudha Pada: A1-A12 + Upapada（UL），复用 dashaflow/jaimini-tropical 的 MIT 算法
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- Karakamsha: AK在Navamsa中的上升（灵魂方向）
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- Chara Dasha: KN Rao benchmark overall 95.83%，作为 covered timing 模块使用；事件应期仍需多系统确认
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- Special Lagnas: HL/GL/VL 简化计算（出生时间敏感，作为辅助）
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MIT复用来源:
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- dashaflow (adarshj322): Arudha/Upapada公式与例外规则
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- jaimini-tropical (tunanfang-pixel): Pada命名、Graha Pada与Jaimini特殊点结构
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"""
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from typing import Dict, List, Tuple, Optional
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from datetime import datetime, timedelta
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import math
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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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# 行星友好/敌对关系（用于Jaimini共主比较）
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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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'Rahu': {'friend': ['Jupiter', 'Venus', 'Saturn'], 'enemy': ['Sun', 'Moon', 'Mars'], 'neutral': ['Mercury']},
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'Ketu': {'friend': ['Mars', 'Venus', 'Saturn'], 'enemy': ['Sun', 'Moon'], 'neutral': ['Mercury', 'Jupiter']},
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}
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# Chara Karaka 定义（7星制，排除Rahu）
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KARAKA_7 = {
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1: 'Atmakaraka', # AK - 灵魂指示星（度数最高）
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2: 'Amatyakaraka', # AmK - 事业/顾问
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3: 'Bhratrikaraka', # BK - 兄弟/勇气
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4: 'Matrikaraka', # MK - 母亲
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5: 'Putrakaraka', # PK - 子女
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6: 'Gnatikaraka', # GK - 敌人/障碍
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7: 'Darakaraka', # DK - 配偶（度数最低）
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}
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# 8星制（含Rahu，用绝对度数）
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KARAKA_8 = {
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1: 'Atmakaraka', 2: 'Amatyakaraka', 3: 'Bhratrikaraka', 4: 'Matrikaraka',
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5: 'Putrakaraka', 6: 'Gnatikaraka', 7: 'Darakaraka', 8: 'Pitrukaraka',
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}
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KARAKA_CN = {
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'Atmakaraka': '灵魂星AK', 'Amatyakaraka': '事业星AmK',
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'Bhratrikaraka': '兄弟星BK', 'Matrikaraka': '母亲星MK',
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'Putrakaraka': '子女星PK', 'Gnatikaraka': '障碍星GK',
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'Darakaraka': '配偶星DK', 'Pitrukaraka': '父亲星PiK',
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}
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KARAKA_DOMAINS = {
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'Atmakaraka': '灵魂使命、核心自我、人生最高目标',
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'Amatyakaraka': '事业方向、主要谋士、权力代理',
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'Bhratrikaraka': '兄弟姐妹、勇气、冒险精神',
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'Matrikaraka': '母亲、家庭根基、情感安全感',
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'Putrakaraka': '子女、创造力、学生、智能成果',
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'Gnatikaraka': '竞争对手、疾病、障碍、转化力量',
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'Darakaraka': '配偶特质、伴侣关系、婚姻质量',
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'Pitrukaraka': '父亲、祖先业力、传统传承',
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}
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ARUDHA_NAMES = {
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1: 'Arudha Lagna (AL)', 2: 'Dhana Pada (A2)', 3: 'Vikrama Pada (A3)',
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4: 'Sukha Pada (A4)', 5: 'Mantra Pada (A5)', 6: 'Roga Pada (A6)',
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7: 'Dara Pada (A7)', 8: 'Mrityu Pada (A8)', 9: 'Dharma Pada (A9)',
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10: 'Karma Pada (A10)', 11: 'Labha Pada (A11)', 12: 'Upapada (UL)',
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}
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def _sign_idx(sign_name: str) -> int:
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return SIGNS.index(sign_name) if sign_name in SIGNS else 0
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def _sign_name(sign_idx: int) -> str:
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return SIGNS[sign_idx % 12]
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def _house_count(from_idx: int, to_idx: int) -> int:
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"""从A星座顺数到B星座，含起点，返回1-12。"""
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return ((to_idx - from_idx) % 12) + 1
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def calc_chara_karaka_7(planet_degrees: Dict[str, float]) -> Dict:
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"""
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计算7星制Chara Karaka（度数最高→AK，最低→DK）
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参数: planet_degrees = {'Sun': 12.5, 'Moon': 8.3, ...}
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每个行星在星座内的度数（0-30）
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返回: {karaka_name: {'planet': str, 'degree': float, 'domain': str}}
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"""
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exclude = {'Rahu', 'Ketu'}
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planets = {k: v for k, v in planet_degrees.items() if k not in exclude}
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sorted_planets = sorted(planets.items(), key=lambda x: x[1], reverse=True)
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results = {}
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for rank, (pname, deg) in enumerate(sorted_planets, 1):
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if rank > 7:
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break
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karaka = KARAKA_7[rank]
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results[karaka] = {
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'planet': pname,
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'degree_in_sign': round(deg, 4),
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'rank': rank,
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'domain': KARAKA_DOMAINS.get(karaka, ''),
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'cn_name': KARAKA_CN.get(karaka, karaka),
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}
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ak = results.get('Atmakaraka', {})
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dk = results.get('Darakaraka', {})
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return {
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'karaka_table': results,
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'summary': {
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'AK': f"{ak.get('planet','?')} ({ak.get('degree_in_sign',0):.1f}°)",
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'DK': f"{dk.get('planet','?')} ({dk.get('degree_in_sign',0):.1f}°)",
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'AK_domain': ak.get('domain', ''),
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'DK_domain': dk.get('domain', ''),
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}
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}
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def calc_chara_karaka_8(planet_degrees: Dict[str, float]) -> Dict:
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"""计算8星制Chara Karaka（含Rahu，Ketu排除）。"""
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planets = {}
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for pname, deg in planet_degrees.items():
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if pname == 'Ketu':
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continue
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planets[pname] = deg
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sorted_planets = sorted(planets.items(), key=lambda x: x[1], reverse=True)
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results = {}
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for rank, (pname, deg) in enumerate(sorted_planets, 1):
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if rank > 8:
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break
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karaka = KARAKA_8[rank]
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results[karaka] = {
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'planet': pname,
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'degree_in_sign': round(deg, 4),
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'rank': rank,
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'domain': KARAKA_DOMAINS.get(karaka, ''),
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'cn_name': KARAKA_CN.get(karaka, karaka),
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}
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return {'karaka_table_8': results}
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def calc_arudha_pada_for_house(house_sign_idx: int, planet_longitudes: Dict[str, float]) -> Optional[Dict]:
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"""
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计算单宫Arudha Pada。
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公式复用 dashaflow / jaimini-tropical MIT 实现：
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1. 从目标宫星座数到宫主所在星座；
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2. 从宫主所在星座再数同样距离；
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3. 若落回本宫或本宫第七，则改取本宫第十。
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"""
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house_sign = _sign_name(house_sign_idx)
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lord = SIGN_LORDS[house_sign]
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if lord not in planet_longitudes:
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return None
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lord_sign_idx = int(planet_longitudes[lord] / 30) % 12
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distance = _house_count(house_sign_idx, lord_sign_idx)
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pada_idx = (lord_sign_idx + distance - 1) % 12
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exception_triggered = False
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if pada_idx == house_sign_idx or pada_idx == (house_sign_idx + 6) % 12:
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pada_idx = (house_sign_idx + 9) % 12
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exception_triggered = True
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return {
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'sign': _sign_name(pada_idx),
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'sign_idx': pada_idx,
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'lord': SIGN_LORDS[_sign_name(pada_idx)],
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'source_house_sign': house_sign,
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'source_house_lord': lord,
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'lord_sign': _sign_name(lord_sign_idx),
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'distance': distance,
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'exception_triggered': exception_triggered,
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}
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def calc_arudha_padas(asc_sign_idx: int, planet_longitudes: Dict[str, float]) -> Dict:
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"""计算A1-A12全部Arudha Padas，含Upapada/UL。"""
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padas = {}
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for house_num in range(1, 13):
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house_sign_idx = (asc_sign_idx + house_num - 1) % 12
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pada = calc_arudha_pada_for_house(house_sign_idx, planet_longitudes)
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if pada:
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pada.update({
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'house_num': house_num,
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'name': ARUDHA_NAMES.get(house_num, f'A{house_num}'),
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})
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padas[f'A{house_num}' if house_num != 12 else 'UL'] = pada
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return {
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'method': 'Arudha Pada A1-A12 (dashaflow/jaimini-tropical MIT adapted)',
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'ascendant': _sign_name(asc_sign_idx),
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'padas': padas,
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'arudha_lagna': padas.get('A1'),
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'upapada': padas.get('UL'),
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}
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def calc_upapada(asc_sign_idx: int, planet_longitudes: Dict[str, float]) -> Optional[Dict]:
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"""计算Upapada Lagna（第12宫Arudha）。"""
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result = calc_arudha_padas(asc_sign_idx, planet_longitudes).get('upapada')
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if result:
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second_idx = (result['sign_idx'] + 1) % 12
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result = dict(result)
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result['second_from_ul'] = _sign_name(second_idx)
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result['description'] = f"Upapada在{result['sign']}，第二宫为{result['second_from_ul']}，用于婚姻持续性与配偶外显画像。"
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return result
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def calc_darapada(asc_sign_idx: int, planet_longitudes: Dict[str, float]) -> Optional[Dict]:
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"""计算Darapada/A7（第7宫Arudha），用于伴侣外显画像与关系维持审计。"""
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seventh_house_idx = (asc_sign_idx + 6) % 12
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result = calc_arudha_pada_for_house(seventh_house_idx, planet_longitudes)
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if not result:
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return None
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result = dict(result)
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second_idx = (result['sign_idx'] + 1) % 12
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eighth_idx = (result['sign_idx'] + 7) % 12
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result.update({
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'house_num': 7,
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'source_house_num': 7,
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'name': 'Darapada (A7)',
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'second_from_a7': _sign_name(second_idx),
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'second_from_a7_lord': SIGN_LORDS[_sign_name(second_idx)],
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'eighth_from_a7': _sign_name(eighth_idx),
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'eighth_from_a7_lord': SIGN_LORDS[_sign_name(eighth_idx)],
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'description': (
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f"A7在{result['sign']}，第二宫为{_sign_name(second_idx)}，"
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f"第八宫为{_sign_name(eighth_idx)}，用于伴侣外显画像与关系维持压力审计。"
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),
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})
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return result
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def calc_graha_padas(planet_longitudes: Dict[str, float]) -> Dict:
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"""计算行星Graha Pada：行星位置通过其宫主映射出的外显影像。"""
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results = {}
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for planet, lon in planet_longitudes.items():
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if planet in ('Rahu', 'Ketu'):
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continue
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planet_sign_idx = int(lon / 30) % 12
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planet_sign = _sign_name(planet_sign_idx)
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lord = SIGN_LORDS[planet_sign]
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if lord not in planet_longitudes:
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continue
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lord_sign_idx = int(planet_longitudes[lord] / 30) % 12
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distance = _house_count(planet_sign_idx, lord_sign_idx)
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pada_idx = (lord_sign_idx + distance - 1) % 12
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results[planet] = {
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'planet_sign': planet_sign,
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'lord': lord,
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'lord_sign': _sign_name(lord_sign_idx),
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'graha_pada_sign': _sign_name(pada_idx),
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'graha_pada_sign_idx': pada_idx,
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'distance': distance,
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}
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return {'method': 'Graha Pada (jaimini-tropical MIT adapted)', 'graha_padas': results}
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# ───────────────────────────────────────────────
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# Chara Dasha 重写：KN Rao Method (v6.1.11)
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# 来源: PyJHora KN Rao 算法，MIT适配实现
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# 核心差异：Dasha 时长基于宫主所在宫位而非星座内行星计数
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# ───────────────────────────────────────────────
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# 偶数脚星座（由PyJHora const.even_footed_signs定义）
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# PyJHora v6: [3,4,5,9,10,11] = Cancer, Leo, Virgo, Capricorn, Aquarius, Pisces
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# 注意: 这是"偶数季度"星座，不是传统samapada
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_EVEN_FOOTED_SIGNS = {3, 4, 5, 9, 10, 11} # Cancer, Leo, Virgo, Capricorn, Aquarius, Pisces
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# 行星尊贵对照（KN Rao Chara Dasha专用）
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# 对齐PyJHora house_strengths_of_planets表的_EXALTED_UCCHAM(4)和_DEBILITATED_NEECHAM(0)
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# 关键: Mercury在Virgo(5)是own sign (strength=5)非exalted(=4)，不+1；在Gemini(2)同样own sign
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# Rahu: exalted 1,2(Taurus,Gemini=strength=4); debilitated 7,8(Scorpio,Sagittarius=strength=0)
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# Ketu: exalted 7,8(Scorpio,Sagittarius=strength=4); debilitated 1,2(Taurus,Gemini=strength=0)
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_PLANET_DIGNITY_KNRAO = {
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'Sun': {'exalted': {0}, 'debilitated': {6}}, # Aries / Libra
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'Moon': {'exalted': {1}, 'debilitated': {7}}, # Taurus / Scorpio
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'Mars': {'exalted': {9}, 'debilitated': {3}}, # Capricorn / Cancer
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'Mercury': {'exalted': set(), 'debilitated': {11}}, # own sign in 2,5 → no exalted; Pisces=deb
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'Jupiter': {'exalted': {3}, 'debilitated': {9}}, # Cancer / Capricorn
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'Venus': {'exalted': {11}, 'debilitated': {5}}, # Pisces / Virgo
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'Saturn': {'exalted': {6}, 'debilitated': {0}}, # Libra / Aries
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'Rahu': {'exalted': {1, 2}, 'debilitated': {7, 8}}, # Taurus,Gemini / Scorpio,Sag
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'Ketu': {'exalted': {7, 8}, 'debilitated': {1, 2}}, # Scorpio,Sag / Taurus,Gemini
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}
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# Chara Dasha 宫主动态判定
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# Aquarius (sign 10): 传统主Saturn vs 共主Rahu — PyJHora用stronger_planet动态判定
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# Scorpio (sign 7): 传统主Mars vs 共主Ketu — PyJHora用stronger_planet动态判定
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_CHARA_DASHA_CO_LORD_SIGNS = {10, 7} # Aquarius, Scorpio 有共主争议
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def _jaimini_planet_dignity_level(planet: str, sign_idx: int) -> int:
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"""
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计算行星在指定星座的尊严层级（用于Jaimini共主比较）。
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基于PyJHora _stronger_planet_new 尊严比较链。
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层级值: 6=exalted, 5=own_sign, 4=friendly, 3=neutral, 2=enemy, 1=debilitated
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"""
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dignities = _PLANET_DIGNITY_KNRAO.get(planet, {})
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if not dignities:
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return 2 # default: enemy level for unknown planets
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# Check exalted (highest dignity)
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if sign_idx in dignities.get('exalted', set()):
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return 6
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# Check debilitated (lowest)
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if sign_idx in dignities.get('debilitated', set()):
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return 1
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# Check own sign (lord association)
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sign_name = SIGNS[sign_idx]
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traditional_lord = SIGN_LORDS.get(sign_name, '')
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if planet == traditional_lord:
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# For Mercury: own sign is Gemini or Virgo (not exalted)
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return 5
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# Check friendship
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friendship = FRIENDSHIP.get(planet, {})
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if planet in friendship.get('friend', []):
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friend_planets = friendship['friend']
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if traditional_lord in friend_planets:
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return 4
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if planet in friendship.get('enemy', []):
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enemy_planets = friendship['enemy']
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if traditional_lord in enemy_planets:
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return 2
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# Neutral
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return 3
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def _jaimini_stronger_planet(longitudes: Dict[str, float], planet_a: str,
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planet_b: str, sign_idx: int) -> str:
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"""
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动态比较两颗行星在指定星座的力量，返回较强者。
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基于PyJHora _stronger_planet_new 算法翻译。
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比较层次：
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1. 尊严层级: exalted(6) > own(5) > friendly(4) > neutral(3) > enemy(2) > debilitated(1)
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2. 同层级：比较行星经度位置（度数更靠近星座中心更强）
|
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3. 仍相同：比较Naisargika Bala（天然力量）
|
||
"""
|
||
level_a = _jaimini_planet_dignity_level(planet_a, sign_idx)
|
||
level_b = _jaimini_planet_dignity_level(planet_b, sign_idx)
|
||
|
||
if level_a > level_b:
|
||
return planet_a
|
||
if level_b > level_a:
|
||
return planet_b
|
||
|
||
# 同层级：比较行星在星座中的位置（更靠近星座中心度数=15°更强）
|
||
deg_a = longitudes.get(planet_a, 0) % 30
|
||
deg_b = longitudes.get(planet_b, 0) % 30
|
||
|
||
center_diff_a = abs(deg_a - 15)
|
||
center_diff_b = abs(deg_b - 15)
|
||
|
||
if center_diff_a < center_diff_b:
|
||
return planet_a
|
||
if center_diff_b < center_diff_a:
|
||
return planet_b
|
||
|
||
# 完全平局：使用Naisargika Bala决断
|
||
naisargika_order = ['Sun', 'Moon', 'Venus', 'Jupiter', 'Mercury', 'Mars', 'Saturn']
|
||
idx_a = naisargika_order.index(planet_a) if planet_a in naisargika_order else 99
|
||
idx_b = naisargika_order.index(planet_b) if planet_b in naisargika_order else 99
|
||
return planet_a if idx_a <= idx_b else planet_b
|
||
|
||
|
||
def _resolve_chara_dasha_lord(longitudes, sign_idx):
|
||
"""
|
||
解析Chara Dasha宫主。v6.1.13: 实现动态共主判定。
|
||
|
||
Aquarius (sign 10): 比较 Saturn vs Rahu
|
||
Scorpio (sign 7): 比较 Mars vs Ketu
|
||
其他星座: 使用传统宫主
|
||
"""
|
||
sign_name = SIGNS[sign_idx]
|
||
traditional_lord = SIGN_LORDS.get(sign_name, '')
|
||
|
||
# Aquarius: Saturn vs Rahu 共主判定
|
||
if sign_idx == 10: # Aquarius
|
||
saturn_present = 'Saturn' in longitudes and longitudes['Saturn'] >= 0
|
||
rahu_present = 'Rahu' in longitudes and longitudes['Rahu'] >= 0
|
||
if saturn_present and rahu_present:
|
||
return _jaimini_stronger_planet(longitudes, 'Saturn', 'Rahu', sign_idx)
|
||
return 'Saturn' if saturn_present else 'Rahu'
|
||
|
||
# Scorpio: Mars vs Ketu 共主判定
|
||
if sign_idx == 7: # Scorpio
|
||
mars_present = 'Mars' in longitudes and longitudes['Mars'] >= 0
|
||
ketu_present = 'Ketu' in longitudes and longitudes['Ketu'] >= 0
|
||
if mars_present and ketu_present:
|
||
return _jaimini_stronger_planet(longitudes, 'Mars', 'Ketu', sign_idx)
|
||
return 'Mars' if mars_present else 'Ketu'
|
||
|
||
return traditional_lord
|
||
|
||
|
||
def _sign_is_even_footed(sign_idx: int) -> bool:
|
||
"""判断星座是否为偶数脚星座（用于KN Rao方向判定）。"""
|
||
return sign_idx in _EVEN_FOOTED_SIGNS
|
||
|
||
|
||
def _count_rasis_forward(from_idx: int, to_idx: int) -> int:
|
||
"""从from_idx顺数到to_idx的星座数（含from_idx，1-12）。"""
|
||
return ((to_idx - from_idx) % 12) + 1
|
||
|
||
|
||
def _count_rasis_backward(from_idx: int, to_idx: int) -> int:
|
||
"""从from_idx倒数到to_idx的星座数（含from_idx，1-12）。"""
|
||
return ((from_idx - to_idx) % 12) + 1
|
||
|
||
|
||
def _get_planet_house(longitudes: Dict[str, float], planet: str) -> int:
|
||
"""根据行星经度获取所在宫位（0-11）。"""
|
||
return int(longitudes.get(planet, 0) / 30) % 12
|
||
|
||
|
||
def _get_sign_lord_house(longitudes: Dict[str, float], sign_idx: int) -> int:
|
||
"""获取指定星座宫主所在宫位。"""
|
||
sign_name = SIGNS[sign_idx]
|
||
lord = SIGN_LORDS[sign_name]
|
||
return _get_planet_house(longitudes, lord)
|
||
|
||
|
||
def _chara_dasha_duration_knrao(longitudes: Dict[str, float], sign_idx: int) -> int:
|
||
"""
|
||
KN Rao Chara Dasha 大运时长计算 v6.1.12。
|
||
|
||
对齐PyJHora _dhasa_duration_knrao_method（已验证95.42%→目标100%）：
|
||
1. 获取当前星座的宫主（含Rahu/Ketu共主覆写）
|
||
2. 获取宫主所在宫位
|
||
3. 若星座为偶数脚：从宫主数到本星座（顺数）；否则从本星座数到宫主（顺数）
|
||
4. count - 1 → years
|
||
5. 若years ≤ 0：years = 12（先于尊贵调整，对齐PyJHora）
|
||
6. 尊贵调整（对齐PyJHora house_strengths_of_planets）：
|
||
若宫主在所在宫位 ⟹ Exalted(+1)；Debilitated(-1)
|
||
Mercury在Virgo/Gemini是own sign非exalted，不+1
|
||
"""
|
||
# 动态宫主判定：Aquarius→Saturn/Rahu比较，Scorpio→Mars/Ketu比较
|
||
lord = _resolve_chara_dasha_lord(longitudes, sign_idx)
|
||
|
||
lord_house = _get_planet_house(longitudes, lord)
|
||
|
||
if _sign_is_even_footed(sign_idx):
|
||
count = _count_rasis_forward(lord_house, sign_idx)
|
||
else:
|
||
count = _count_rasis_forward(sign_idx, lord_house)
|
||
|
||
years = count - 1
|
||
|
||
# 对齐PyJHora: 先检查≤0再加减尊贵
|
||
if years <= 0:
|
||
years = 12
|
||
|
||
# 尊贵调整（对齐PyJHora house_strengths_of_planets表）
|
||
dignities = _PLANET_DIGNITY_KNRAO.get(lord, {})
|
||
if dignities:
|
||
if lord_house in dignities.get('exalted', set()):
|
||
years += 1
|
||
elif lord_house in dignities.get('debilitated', set()):
|
||
years -= 1
|
||
|
||
return years
|
||
|
||
|
||
def _chara_progression_knrao(asc_sign_idx: int, longitudes: Dict[str, float]) -> list:
|
||
"""
|
||
KN Rao Chara Dasha 星座序列生成。
|
||
|
||
算法（对齐PyJHora _dhasa_progression_knrao_method）：
|
||
1. 起始 = 上升星座
|
||
2. 检查第9宫：若为偶数脚 → 逆向，否则正向
|
||
3. 生成12个星座的顺序
|
||
"""
|
||
ninth_idx = (asc_sign_idx + 8) % 12
|
||
if _sign_is_even_footed(ninth_idx):
|
||
return [(asc_sign_idx + 12 - i) % 12 for i in range(12)]
|
||
else:
|
||
return [(asc_sign_idx + i) % 12 for i in range(12)]
|
||
|
||
|
||
def _jd_to_date_tuple(jd: float):
|
||
"""将Julian Day转换为(year, month, day)元组。使用简化算法。"""
|
||
try:
|
||
import datetime
|
||
import math
|
||
# 简化转换：约化儒略日
|
||
jd_i = int(jd + 0.5)
|
||
f = (jd + 0.5) - jd_i
|
||
if jd_i >= 2299161:
|
||
a = (jd_i - 1867216.25) / 36524.25
|
||
jd_i += 1 + int(a - int(a) / 4)
|
||
b = jd_i + 1524
|
||
c = (b - 122.1) / 365.25
|
||
d = int(365.25 * c)
|
||
e = (b - d) / 30.6001
|
||
day = b - d - int(30.6001 * e) + f
|
||
month = e - 1 if e < 14 else e - 13
|
||
year = c - 4716 if month > 2 else c - 4715
|
||
return (int(year), int(month), int(day))
|
||
except Exception:
|
||
return (2000, 1, 1)
|
||
|
||
|
||
def calc_chara_dasha(asc_sign_idx: int,
|
||
planet_longitudes: Dict[str, float],
|
||
birth_year: int, birth_month: int,
|
||
birth_day: int = 1) -> Dict:
|
||
"""
|
||
Chara Dasha计算（v6.1.11重写：KN Rao Method）
|
||
|
||
来源：PyJHora chara.py KN Rao方法（AGPL算法 -> MIT独立实现）
|
||
对齐目标：与PyJHora KN Rao method ≥95%匹配
|
||
|
||
规则:
|
||
- 序列：自上升起，第9宫决定顺逆
|
||
- 时长：基于宫主所在宫位而非行星计数
|
||
- 尊贵：Exalted +1年 / Debilitated -1年
|
||
"""
|
||
progression = _chara_progression_knrao(asc_sign_idx, planet_longitudes)
|
||
|
||
dasha_sequence = []
|
||
for i, sign_idx in enumerate(progression):
|
||
sign_name = SIGNS[sign_idx]
|
||
lord = _resolve_chara_dasha_lord(planet_longitudes, sign_idx)
|
||
duration = _chara_dasha_duration_knrao(planet_longitudes, sign_idx)
|
||
|
||
# 宮主所在宫位
|
||
lord_house = _get_planet_house(planet_longitudes, lord)
|
||
lord_house_name = SIGNS[lord_house]
|
||
|
||
# 尊贵状态
|
||
dignities = _PLANET_DIGNITY_KNRAO.get(lord, {})
|
||
dignity_status = 'none'
|
||
if dignities:
|
||
exalted_set = dignities.get('exalted', set())
|
||
debil_set = dignities.get('debilitated', set())
|
||
if lord_house in exalted_set:
|
||
dignity_status = 'exalted'
|
||
elif lord_house in debil_set:
|
||
dignity_status = 'debilitated'
|
||
|
||
dasha_sequence.append({
|
||
'sign': sign_name,
|
||
'sign_idx': sign_idx,
|
||
'lord': lord,
|
||
'lord_in_sign': lord_house_name,
|
||
'lord_in_sign_idx': lord_house,
|
||
'duration_years': duration,
|
||
'dignity_adjustment': dignity_status,
|
||
'order': i + 1,
|
||
})
|
||
|
||
total_years = sum(d['duration_years'] for d in dasha_sequence)
|
||
|
||
return {
|
||
'method': 'Chara Dasha (KN Rao Method, v6.1.11, PyJHora-aligned)',
|
||
'ascendant': SIGNS[asc_sign_idx],
|
||
'ascendant_idx': asc_sign_idx,
|
||
'progression_source': '9th_house_direction',
|
||
'dasha_sequence': dasha_sequence,
|
||
'total_cycle_years': total_years,
|
||
'capability_status': 'covered',
|
||
}
|
||
|
||
|
||
def calc_chara_dasha_with_antardasha(asc_sign_idx: int,
|
||
planet_longitudes: Dict[str, float],
|
||
birth_year: int, birth_month: int,
|
||
birth_day: int = 1) -> Dict:
|
||
"""
|
||
Chara Dasha 完整3层计算（MD → AD → PD）
|
||
|
||
使用KN Rao方法（v6.1.11重写）。
|
||
Antardasha：等分法（parent/12），序列为Maha序列偏移1位。
|
||
"""
|
||
base = calc_chara_dasha(asc_sign_idx, planet_longitudes, birth_year, birth_month, birth_day)
|
||
progression = _chara_progression_knrao(asc_sign_idx, planet_longitudes)
|
||
|
||
# Antardasha序列：Mahadasha序列偏移1（PyJHora method=2）
|
||
antar_sequence = progression[1:] + progression[:1]
|
||
|
||
for md in base['dasha_sequence']:
|
||
md_sign_idx = md['sign_idx']
|
||
md_duration_years = md['duration_years']
|
||
|
||
antardasha_list = []
|
||
for j, ad_sign_idx in enumerate(antar_sequence):
|
||
ad_sign = SIGNS[ad_sign_idx]
|
||
ad_lord = SIGN_LORDS[ad_sign]
|
||
ad_duration = round(md_duration_years / 12.0, 3)
|
||
|
||
# Pratyantar (第三层)：等分
|
||
pratyantar_list = []
|
||
for k, pd_sign_idx in enumerate(antar_sequence):
|
||
pd_sign = SIGNS[pd_sign_idx]
|
||
pd_lord = SIGN_LORDS[pd_sign]
|
||
pd_duration = round(ad_duration / 12.0, 4)
|
||
pratyantar_list.append({
|
||
'sign': pd_sign,
|
||
'sign_idx': pd_sign_idx,
|
||
'lord': pd_lord,
|
||
'duration_years': pd_duration,
|
||
'order': k + 1,
|
||
})
|
||
|
||
antardasha_list.append({
|
||
'sign': ad_sign,
|
||
'sign_idx': ad_sign_idx,
|
||
'lord': ad_lord,
|
||
'duration_years': ad_duration,
|
||
'order': j + 1,
|
||
'pratyantar_dashas': pratyantar_list,
|
||
})
|
||
|
||
md['antardashas'] = antardasha_list
|
||
|
||
base['has_antardasha'] = True
|
||
base['has_pratyantar'] = True
|
||
base['antardasha_method'] = 'equal_division_12 (PyJHora method=2)'
|
||
return base
|
||
|
||
|
||
def calc_karakamsha(ak_sign_in_d9: str, ak_degree_in_d9: float) -> Dict:
|
||
"""Karakamsha分析：AK在D9中的位置作为灵魂上升。"""
|
||
lord = SIGN_LORDS.get(ak_sign_in_d9, '')
|
||
interpretations = _karakamsha_interpretations(ak_sign_in_d9, lord)
|
||
return {
|
||
'karakamsha_sign': ak_sign_in_d9,
|
||
'karakamsha_degree': ak_degree_in_d9,
|
||
'karakamsha_lord': lord,
|
||
'soul_direction': interpretations,
|
||
}
|
||
|
||
|
||
def _karakamsha_interpretations(sign, lord):
|
||
"""Karakamsha的灵魂方向解读。"""
|
||
directions = {
|
||
'Aries': '灵魂追求独立、开拓、成为先驱',
|
||
'Taurus': '灵魂追求稳定、物质安全感、感官和谐',
|
||
'Gemini': '灵魂追求知识、沟通、多元体验',
|
||
'Cancer': '灵魂追求情感连接、家庭、滋养他人',
|
||
'Leo': '灵魂追求创造力、领导力、自我表达',
|
||
'Virgo': '灵魂追求服务、完善、分析能力',
|
||
'Libra': '灵魂追求平衡、关系和谐、美学',
|
||
'Scorpio': '灵魂追求转化、深层真相、神秘学',
|
||
'Sagittarius': '灵魂追求真理、哲学、智慧传播',
|
||
'Capricorn': '灵魂追求成就、结构、社会贡献',
|
||
'Aquarius': '灵魂追求革新、人道主义、群体觉醒',
|
||
'Pisces': '灵魂追求灵性、超越、无条件的爱',
|
||
}
|
||
lord_meanings = {
|
||
'Sun': '通过权威、创造力和自我实现达成',
|
||
'Moon': '通过情感智慧、直觉和公众影响力达成',
|
||
'Mars': '通过行动力、勇气和技术能力达成',
|
||
'Mercury': '通过智慧、沟通和学习能力达成',
|
||
'Jupiter': '通过智慧、教导和灵性成长达成',
|
||
'Venus': '通过美学、关系和创造力达成',
|
||
'Saturn': '通过耐力、自律和长期承诺达成',
|
||
}
|
||
return {
|
||
'sign_direction': directions.get(sign, ''),
|
||
'lord_method': lord_meanings.get(lord, ''),
|
||
}
|
||
|
||
|
||
def _julian_day(year: int, month: int, day: int, hour: float = 12.0) -> float:
|
||
if month <= 2:
|
||
year -= 1
|
||
month += 12
|
||
a = int(year / 100)
|
||
b = 2 - a + int(a / 4)
|
||
return (
|
||
int(365.25 * (year + 4716))
|
||
+ int(30.6001 * (month + 1))
|
||
+ day
|
||
+ b
|
||
- 1524.5
|
||
+ hour / 24.0
|
||
)
|
||
|
||
|
||
def _solar_obliquity(jd: float) -> float:
|
||
t = (jd - 2451545.0) / 36525.0
|
||
eps0 = 84381.448 - 46.8150 * t - 0.00059 * t * t + 0.001813 * t * t * t
|
||
return eps0 / 3600.0
|
||
|
||
|
||
def calc_sunrise_utc_hours(year: int, month: int, day: int, lat: float, lon: float) -> float:
|
||
"""
|
||
Calculate sunrise UTC decimal hours for a date/location.
|
||
|
||
MIT-adapted from jaimini-tropical's sunrise helper; accuracy is sufficient for
|
||
product-facing Special Lagna timing and avoids a hard dependency on SwissEph.
|
||
"""
|
||
jd = _julian_day(year, month, day, 12.0)
|
||
mean_anomaly = (357.5291 + 0.98560028 * (jd - 2451545.0)) % 360
|
||
center = (
|
||
1.9148 * math.sin(math.radians(mean_anomaly))
|
||
+ 0.0200 * math.sin(math.radians(2 * mean_anomaly))
|
||
+ 0.0003 * math.sin(math.radians(3 * mean_anomaly))
|
||
)
|
||
sun_lon = (mean_anomaly + center + 180.10248 + 0.000048 * (jd - 2451545.0) * 360) % 360
|
||
eps = _solar_obliquity(jd)
|
||
declination = math.degrees(
|
||
math.asin(math.sin(math.radians(sun_lon)) * math.sin(math.radians(eps)))
|
||
)
|
||
lat_rad = math.radians(lat)
|
||
dec_rad = math.radians(declination)
|
||
cos_ha = (
|
||
math.cos(math.radians(90.833))
|
||
- math.sin(lat_rad) * math.sin(dec_rad)
|
||
) / (math.cos(lat_rad) * math.cos(dec_rad))
|
||
cos_ha = max(-1.0, min(1.0, cos_ha))
|
||
hour_angle = math.degrees(math.acos(cos_ha))
|
||
|
||
b = math.radians(360.0 * (jd - 2451545.0 - 0.5) / 365.25)
|
||
eq_time = 229.18 * (
|
||
0.000075
|
||
+ 0.001868 * math.cos(b)
|
||
- 0.032077 * math.sin(b)
|
||
- 0.014615 * math.cos(2 * b)
|
||
- 0.040849 * math.sin(2 * b)
|
||
)
|
||
solar_noon = (720.0 - 4.0 * lon - eq_time) / 60.0
|
||
return (solar_noon - hour_angle / 15.0) % 24.0
|
||
|
||
|
||
def _elapsed_ghatis_from_sunrise(sunrise_utc_hours: float, birth_utc_hours: float) -> float:
|
||
diff_hours = birth_utc_hours - sunrise_utc_hours
|
||
if diff_hours < 0:
|
||
diff_hours += 24
|
||
return diff_hours / 0.4
|
||
|
||
|
||
def _special_lagna_payload(name: str, full_name: str, sign_idx: int, degree_in_sign: float,
|
||
ghatis_elapsed: float, night_birth: bool = False) -> Dict:
|
||
sign = _sign_name(sign_idx)
|
||
payload = {
|
||
'name': name,
|
||
'full_name': full_name,
|
||
'sign': sign,
|
||
'sign_idx': sign_idx % 12,
|
||
'lord': SIGN_LORDS[sign],
|
||
'degree_in_sign': round(degree_in_sign % 30, 4),
|
||
'longitude': round((sign_idx % 12) * 30 + (degree_in_sign % 30), 4),
|
||
'ghatis_elapsed': round(ghatis_elapsed, 4),
|
||
}
|
||
if night_birth:
|
||
payload['night_birth'] = True
|
||
return payload
|
||
|
||
|
||
def calc_special_lagnas_precise(
|
||
asc_sign_idx: int,
|
||
year: int,
|
||
month: int,
|
||
day: int,
|
||
hour: int,
|
||
minute: float = 0,
|
||
lat: float = 0.0,
|
||
lon: float = 0.0,
|
||
tz_offset: float = 0.0,
|
||
second: float = 0.0,
|
||
) -> Dict:
|
||
"""
|
||
Sunrise-correct Jaimini Special Lagnas: HL/GL/VL.
|
||
|
||
Uses local birth time, converts it to UTC, calculates local sunrise in UTC,
|
||
then maps elapsed Ghatis from sunrise to HL/GL. VL remains Ascendant-derived.
|
||
"""
|
||
whole_minute = int(minute)
|
||
second_total = (float(minute) - whole_minute) * 60.0 + float(second)
|
||
whole_second = int(second_total)
|
||
microsecond = int(round((second_total - whole_second) * 1_000_000))
|
||
if microsecond >= 1_000_000:
|
||
whole_second += 1
|
||
microsecond -= 1_000_000
|
||
local_dt = datetime(year, month, day, int(hour), whole_minute, whole_second, microsecond)
|
||
utc_dt = local_dt - timedelta(hours=tz_offset)
|
||
birth_utc_hours = utc_dt.hour + utc_dt.minute / 60.0 + utc_dt.second / 3600.0
|
||
sunrise_utc = calc_sunrise_utc_hours(utc_dt.year, utc_dt.month, utc_dt.day, lat, lon)
|
||
ghatis = _elapsed_ghatis_from_sunrise(sunrise_utc, birth_utc_hours)
|
||
ghati_floor = int(ghatis)
|
||
fraction = ghatis - ghati_floor
|
||
|
||
hl_idx = ghati_floor % 12 if ghati_floor % 2 else (7 - ghati_floor) % 12
|
||
gl_idx = ghati_floor % 12
|
||
vl_idx = (asc_sign_idx * 3) % 12
|
||
vl_from_hl_idx = (hl_idx * 3) % 12
|
||
pp_idx = (hl_idx + gl_idx) % 12
|
||
vil_idx = int((ghatis * 2)) % 12
|
||
|
||
sunrise_local_hours = (sunrise_utc + tz_offset) % 24
|
||
sunrise_local_minutes = int(round(sunrise_local_hours * 60)) % (24 * 60)
|
||
local_birth_hours = int(hour) + whole_minute / 60.0 + whole_second / 3600.0 + microsecond / 3_600_000_000.0
|
||
before_sunrise = local_birth_hours < sunrise_local_hours
|
||
return {
|
||
'method': 'Special Lagnas HL/GL/VL sunrise-correct (jaimini-tropical MIT adapted)',
|
||
'capability_status': 'covered',
|
||
'precision': 'sunrise_correct',
|
||
'sunrise_utc_hours': round(sunrise_utc, 4),
|
||
'sunrise_local_time': f'{sunrise_local_minutes // 60:02d}:{sunrise_local_minutes % 60:02d}',
|
||
'birth_utc_hours': round(birth_utc_hours, 4),
|
||
'ghatis_elapsed_from_sunrise': round(ghatis, 4),
|
||
'HL': _special_lagna_payload('HL', 'Hora Lagna', hl_idx, fraction * 30.0, ghatis, before_sunrise),
|
||
'GL': _special_lagna_payload('GL', 'Ghati Lagna', gl_idx, fraction * 30.0, ghatis, before_sunrise),
|
||
'PP': _special_lagna_payload('PP', 'Pranapada Lagna', pp_idx, fraction * 30.0, ghatis, before_sunrise),
|
||
'ViL': _special_lagna_payload('ViL', 'Vighati Lagna', vil_idx, fraction * 30.0, ghatis, before_sunrise),
|
||
'VL': {
|
||
'name': 'VL',
|
||
'full_name': 'Varnada Lagna',
|
||
'sign': _sign_name(vl_idx),
|
||
'sign_idx': vl_idx,
|
||
'lord': SIGN_LORDS[_sign_name(vl_idx)],
|
||
'method': 'Ascendant sign × 3',
|
||
'vl_from_hl': {
|
||
'sign': _sign_name(vl_from_hl_idx),
|
||
'sign_idx': vl_from_hl_idx,
|
||
'lord': SIGN_LORDS[_sign_name(vl_from_hl_idx)],
|
||
},
|
||
},
|
||
'note': 'HL/GL/PP/ViL以出生地日出为起点计算；GL与ViL对细分钟边界敏感，出生时间不准时应结合生时校正。'
|
||
}
|
||
|
||
|
||
def calc_special_lagnas(asc_sign_idx: int, hour: int, minute: int = 0) -> Dict:
|
||
"""
|
||
Jaimini特殊上升点简化版：HL/GL/VL。
|
||
|
||
注：jaimini-tropical原版基于日出时间计算；这里在无日出依赖的CLI层提供
|
||
可运行的近似辅助值，精确断语仍应优先使用出生地日出校正版本。
|
||
"""
|
||
local_hours = hour + minute / 60.0
|
||
ghatis = (local_hours / 24.0) * 60.0
|
||
ghati_floor = int(ghatis)
|
||
hl_idx = ghati_floor % 12 if ghati_floor % 2 else (7 - ghati_floor) % 12
|
||
gl_idx = ghati_floor % 12
|
||
vl_idx = (asc_sign_idx * 3) % 12
|
||
vl_from_hl_idx = (hl_idx * 3) % 12
|
||
pp_idx = (hl_idx + gl_idx) % 12
|
||
vil_idx = int(ghatis * 2) % 12
|
||
return {
|
||
'method': 'Special Lagnas HL/GL/VL simplified (jaimini-tropical MIT adapted; sunrise-sensitive)',
|
||
'capability_status': 'auxiliary_partial',
|
||
'ghatis_elapsed_from_midnight': round(ghatis, 4),
|
||
'HL': {'sign': _sign_name(hl_idx), 'sign_idx': hl_idx, 'lord': SIGN_LORDS[_sign_name(hl_idx)]},
|
||
'GL': {'sign': _sign_name(gl_idx), 'sign_idx': gl_idx, 'lord': SIGN_LORDS[_sign_name(gl_idx)]},
|
||
'PP': {'sign': _sign_name(pp_idx), 'sign_idx': pp_idx, 'lord': SIGN_LORDS[_sign_name(pp_idx)]},
|
||
'ViL': {'sign': _sign_name(vil_idx), 'sign_idx': vil_idx, 'lord': SIGN_LORDS[_sign_name(vil_idx)]},
|
||
'VL': {
|
||
'sign': _sign_name(vl_idx),
|
||
'sign_idx': vl_idx,
|
||
'lord': SIGN_LORDS[_sign_name(vl_idx)],
|
||
'vl_from_hl': {'sign': _sign_name(vl_from_hl_idx), 'sign_idx': vl_from_hl_idx, 'lord': SIGN_LORDS[_sign_name(vl_from_hl_idx)]},
|
||
},
|
||
'note': 'HL/GL/VL/PP/ViL对日出非常敏感；本函数用于结构化补齐，精确版本需接入当地日出。'
|
||
}
|