732642856
3841 lines
180 KiB
Python
3841 lines
180 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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印度占星统一引擎 v3.7.1 (Jyotish Unified Engine)
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整合所有计算能力为单一CLI入口，供Skill调用
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子命令:
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chart 计算完整星盘（基于Swiss Ephemeris）
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dasha 计算Vimshottari Dasha大运时间线
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yoga Yoga格局识别
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predict 三层验证法事件预测（优先EventPredictionModel规则引擎）
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varga 分盘计算（D9/D10）
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varga-full BPHS十六分盘完整计算（D2-D60）（v3.7新增）
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aspects 度数精确相位系统（v3.7新增）
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jaimini Jaimini系统（Chara Karaka/Karakamsha；Chara Dasha timing partial）（v3.7新增）
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nakshatra-adv 高级Nakshatra分析（Tara Bala/Sub-Lord/兼容性）（v3.7新增）
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argala Argala门闩系统（v3.7新增）
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tajika Tajika/Varshaphala年运盘（v3.7新增）
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synastry 合盘分析（Ashta Koota 36分制+Mangal Dosha）（v3.7新增）
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full-reading 全自动综合解盘（出生信息→全链路计算→完整报告）（v3.7.1新增）
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celebrity 名人案例查询（15,807条数据+SQLite验证库）
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db-stats 验证数据库统计
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transit 行星过境查询
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shadbala 六重力量计算（内部一致；外部绝对值校准前partial）（v3.4新增）
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ashtakavarga 八分法计算（v3.5升级BPHS完整表，SAV=337）
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memory Hermes记忆系统（v3.4新增）
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validate R1-R10数学验证（v3.5新增，含R2b BAV列→SAV校验）
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audit P1-P12行星审计管线（v3.6升级含P3仓库耦合+P8年龄状态+冲突仲裁）
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report MD→HTML报告生成（v3.6新增，羊皮纸主题）
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用法示例:
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python3 jyotish_engine.py chart --year 1990 --month 1 --day 1 --hour 12 --minute 0 --lat 39.9 --lon 116.4 --tz 8
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python3 jyotish_engine.py shadbala --year 1990 --month 1 --day 1 --hour 12 --minute 0 --lat 39.9 --lon 116.4 --tz 8
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python3 jyotish_engine.py ashtakavarga --year 1990 --month 1 --day 1 --hour 12 --minute 0 --lat 39.9 --lon 116.4 --tz 8
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python3 jyotish_engine.py memory --action store --content "测试记忆"
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"""
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import argparse
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import json
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import sys
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import os
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import csv
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import math
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import sqlite3
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from datetime import datetime, timedelta
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from typing import Dict, List
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# ============================================================================
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# 路径常量
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# ============================================================================
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SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
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HOME_DIR = os.path.expanduser('~')
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CLAW_DIR = os.path.join(HOME_DIR, 'WorkBuddy', 'Claw')
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DB_PATH = os.path.join(CLAW_DIR, 'vedic_astrology_validation.db')
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PERSON_CSV = os.path.join(CLAW_DIR, 'vedastro_data', 'PersonList-15k.csv')
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TRANSIT_JSON = os.path.join(CLAW_DIR, '月运过境配置-2026-2028.json')
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try:
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import swisseph as swe
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swe.set_sid_mode(swe.SIDM_LAHIRI) # P0修复：必须设置Lahiri恒星黄道模式
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HAS_SWE = True
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except ImportError:
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HAS_SWE = False
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# ============================================================================
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# 常量
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# ============================================================================
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NAKSHATRA_LIST = [
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("Ashwini", "Ketu", 7), ("Bharani", "Venus", 20), ("Krittika", "Sun", 6),
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("Rohini", "Moon", 10), ("Mrigashira", "Mars", 7), ("Ardra", "Rahu", 18),
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("Punarvasu", "Jupiter", 16), ("Pushya", "Saturn", 19), ("Ashlesha", "Mercury", 17),
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("Magha", "Ketu", 7), ("Purva Phalguni", "Venus", 20), ("Uttara Phalguni", "Sun", 6),
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("Hasta", "Moon", 10), ("Chitra", "Mars", 7), ("Swati", "Rahu", 18),
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("Vishakha", "Jupiter", 16), ("Anuradha", "Saturn", 19), ("Jyeshtha", "Mercury", 17),
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("Mula", "Ketu", 7), ("Purva Ashadha", "Venus", 20), ("Uttara Ashadha", "Sun", 6),
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("Shravana", "Moon", 10), ("Dhanishta", "Mars", 7), ("Shatabhisha", "Rahu", 18),
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("Purva Bhadrapada", "Jupiter", 16), ("Uttara Bhadrapada", "Saturn", 19), ("Revati", "Mercury", 17),
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]
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DASHA_ORDER = ["Ketu", "Venus", "Sun", "Moon", "Mars", "Rahu", "Jupiter", "Saturn", "Mercury"]
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DASHA_YEARS = {"Ketu": 7, "Venus": 20, "Sun": 6, "Moon": 10, "Mars": 7, "Rahu": 18, "Jupiter": 16, "Saturn": 19, "Mercury": 17}
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SIGNS = ['Aries', 'Taurus', 'Gemini', 'Cancer', 'Leo', 'Virgo', 'Libra', 'Scorpio', 'Sagittarius', 'Capricorn', 'Aquarius', 'Pisces']
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SIGNS_CN = {'Aries': '白羊座', 'Taurus': '金牛座', 'Gemini': '双子座', 'Cancer': '巨蟹座', 'Leo': '狮子座', 'Virgo': '处女座', 'Libra': '天秤座', 'Scorpio': '天蝎座', 'Sagittarius': '射手座', 'Capricorn': '摩羯座', 'Aquarius': '水瓶座', 'Pisces': '双鱼座'}
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SIGN_LORDS = {'Aries': 'Mars', 'Taurus': 'Venus', 'Gemini': 'Mercury', 'Cancer': 'Moon', 'Leo': 'Sun', 'Virgo': 'Mercury', 'Libra': 'Venus', 'Scorpio': 'Mars', 'Sagittarius': 'Jupiter', 'Capricorn': 'Saturn', 'Aquarius': 'Saturn', 'Pisces': 'Jupiter'}
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EXALTATION = {'Sun': 'Aries', 'Moon': 'Taurus', 'Mars': 'Capricorn', 'Mercury': 'Virgo', 'Jupiter': 'Cancer', 'Venus': 'Pisces', 'Saturn': 'Libra'}
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DEBILITATION = {'Sun': 'Libra', 'Moon': 'Scorpio', 'Mars': 'Cancer', 'Mercury': 'Pisces', 'Jupiter': 'Capricorn', 'Venus': 'Virgo', 'Saturn': 'Aries'}
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# Moolatrikona（三方本宫）: 行星 → (星座, 度数范围起始)
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MOOLATRIKONA = {'Sun': ('Leo', 0, 20), 'Moon': ('Taurus', 0, 3), 'Mars': ('Aries', 0, 12), 'Mercury': ('Virgo', 16, 20), 'Jupiter': ('Sagittarius', 0, 10), 'Venus': ('Libra', 0, 15), 'Saturn': ('Aquarius', 0, 20)}
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# BPHS 永久友好关系表 (Naisargika Mitra)
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PERMANENT_FRIENDS = {
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'Sun': ['Moon', 'Mars', 'Jupiter'],
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'Moon': ['Sun', 'Mercury'],
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'Mars': ['Sun', 'Moon', 'Jupiter'],
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'Mercury': ['Sun', 'Venus'],
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'Jupiter': ['Sun', 'Moon', 'Mars'],
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'Venus': ['Mercury', 'Saturn'],
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'Saturn': ['Mercury', 'Venus'],
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'Rahu': ['Venus', 'Saturn'],
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'Ketu': ['Mars', 'Saturn'],
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}
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PERMANENT_ENEMIES = {
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'Sun': ['Saturn', 'Venus'],
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'Moon': [],
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'Mars': ['Mercury'],
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'Mercury': ['Moon'],
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'Jupiter': ['Mercury', 'Venus'],
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'Venus': ['Sun', 'Moon'],
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'Saturn': ['Sun', 'Moon', 'Mars'],
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'Rahu': ['Sun', 'Moon', 'Jupiter'],
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'Ketu': ['Sun', 'Moon'],
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}
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PUSHKARA_NAVAMSA_RANGES = {
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'fire': [(6 + 40/60, 10), (23 + 20/60, 26 + 40/60)],
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'earth': [(3 + 20/60, 6 + 40/60), (16 + 40/60, 20)],
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'air': [(13 + 20/60, 16 + 40/60), (26 + 40/60, 30)],
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'water': [(0, 3 + 20/60), (10, 13 + 20/60)],
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}
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PUSHKARA_BHAGA_DEGREES = {'fire': 21, 'earth': 14, 'air': 24, 'water': 7}
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SIGN_ELEMENTS = {
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'Aries': 'fire', 'Leo': 'fire', 'Sagittarius': 'fire',
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'Taurus': 'earth', 'Virgo': 'earth', 'Capricorn': 'earth',
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'Gemini': 'air', 'Libra': 'air', 'Aquarius': 'air',
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'Cancer': 'water', 'Scorpio': 'water', 'Pisces': 'water',
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}
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def _element_key(sign):
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return SIGN_ELEMENTS.get(sign)
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def _is_pushkara_navamsa(sign, deg_in_sign):
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element = _element_key(sign)
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if element is None or deg_in_sign is None:
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return False, None
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for start, end in PUSHKARA_NAVAMSA_RANGES[element]:
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if start <= deg_in_sign < end:
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return True, {"element": element, "range": [round(start, 4), round(end, 4)]}
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return False, None
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def _is_pushkara_bhaga(sign, deg_in_sign, orb=1.0):
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element = _element_key(sign)
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if element is None or deg_in_sign is None:
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return False, None
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target = PUSHKARA_BHAGA_DEGREES[element]
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delta = abs(deg_in_sign - target)
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return delta <= orb, {"element": element, "target_degree": target, "orb": orb, "delta": round(delta, 4)}
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def _calc_vargottama(planets, varga_full):
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d9 = varga_full.get('D9_Navamsa', {}) if isinstance(varga_full, dict) else {}
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result = {}
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for pn, pd in planets.items():
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if not isinstance(pd, dict) or 'sign' not in pd:
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continue
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d9_pd = d9.get(pn, {}) if isinstance(d9, dict) else {}
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d9_sign = d9_pd.get('sign') if isinstance(d9_pd, dict) else None
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result[pn] = {
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'd1_sign': pd.get('sign'),
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'd9_sign': d9_sign,
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'is_vargottama': bool(d9_sign and pd.get('sign') == d9_sign),
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}
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return result
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def _calc_pushkara_flags(planets):
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result = {}
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for pn, pd in planets.items():
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if not isinstance(pd, dict) or 'sign' not in pd:
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continue
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sign = pd.get('sign')
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deg = pd.get('degree_in_sign', pd.get('degree', 0) % 30)
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in_pna, pna_meta = _is_pushkara_navamsa(sign, deg)
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in_pb, pb_meta = _is_pushkara_bhaga(sign, deg)
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result[pn] = {
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'sign': sign,
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'sign_cn': SIGNS_CN.get(sign, ''),
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'degree_in_sign': round(deg, 4),
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'pushkara_navamsa': in_pna,
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'pushkara_navamsa_meta': pna_meta,
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'pushkara_bhaga': in_pb,
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'pushkara_bhaga_meta': pb_meta,
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}
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return result
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def _calc_dasha_sandhi(dasha_result, reference_date=None, orb_days=90):
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ref = datetime.strptime(reference_date, "%Y-%m-%d") if reference_date else datetime.now()
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sandhi = []
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timeline = dasha_result.get('timeline', []) if isinstance(dasha_result, dict) else []
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for md in timeline:
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for boundary_key in ['start', 'end']:
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if boundary_key not in md:
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continue
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bdt = datetime.strptime(md[boundary_key], "%Y-%m-%d")
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delta = (bdt - ref).days
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if abs(delta) <= orb_days:
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sandhi.append({
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'level': 'mahadasha',
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'lord': md.get('lord'),
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'boundary': boundary_key,
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'date': md.get(boundary_key),
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'days_from_reference': delta,
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'within_orb': True,
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})
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for ad in md.get('antardasha_timeline', []):
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for boundary_key in ['start', 'end']:
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if boundary_key not in ad:
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continue
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bdt = datetime.strptime(ad[boundary_key], "%Y-%m-%d")
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delta = (bdt - ref).days
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if abs(delta) <= orb_days:
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sandhi.append({
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'level': 'antardasha',
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'mahadasha_lord': md.get('lord'),
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'lord': ad.get('lord'),
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'boundary': boundary_key,
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'date': ad.get(boundary_key),
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'days_from_reference': delta,
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'within_orb': True,
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})
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return {'reference_date': ref.strftime('%Y-%m-%d'), 'orb_days': orb_days, 'sandhi_windows': sandhi}
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def _get_dignity_level(planet, sign, deg_in_sign=None):
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"""判断行星在某星座的尊严等级 (用于 Vimsopaka 映射)"""
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if EXALTATION.get(planet) == sign:
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return 'EXALTED'
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# Moolatrikona: 需要检查度数范围
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mt = MOOLATRIKONA.get(planet)
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if mt and mt[0] == sign:
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if deg_in_sign is not None and mt[1] <= deg_in_sign < mt[2]:
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return 'MOOLATRIKONA'
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if SIGN_LORDS.get(sign) == planet:
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return 'OWN_SIGN'
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if DEBILITATION.get(planet) == sign:
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return 'DEBILITATED'
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# 友好/敌对
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sign_lord = SIGN_LORDS.get(sign, '')
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if planet in PERMANENT_FRIENDS.get(sign_lord, []):
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return 'FRIEND'
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if planet in PERMANENT_ENEMIES.get(sign_lord, []):
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return 'ENEMY'
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return 'NEUTRAL'
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PLANET_CN = {"Ketu": "南交点Ketu", "Venus": "金星Venus", "Sun": "太阳Sun", "Moon": "月亮Moon", "Mars": "火星Mars", "Rahu": "北交点Rahu", "Jupiter": "木星Jupiter", "Saturn": "土星Saturn", "Mercury": "水星Mercury"}
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BASE_PLANETS_SWE = {'Sun': swe.SUN, 'Moon': swe.MOON, 'Mars': swe.MARS, 'Mercury': swe.MERCURY, 'Jupiter': swe.JUPITER, 'Venus': swe.VENUS, 'Saturn': swe.SATURN} if HAS_SWE else {}
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PLANETS_SWE = {**BASE_PLANETS_SWE, 'Rahu': swe.MEAN_NODE} if HAS_SWE else {}
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def _node_pid(node_mode='mean'):
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"""返回 Rahu/Ketu 节点计算口径对应的 Swiss Ephemeris id。"""
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if not HAS_SWE:
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return None
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return swe.TRUE_NODE if (node_mode or 'mean').lower() == 'true' else swe.MEAN_NODE
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def _planet_map_for_node_mode(node_mode='mean'):
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"""返回七曜+Rahu 的行星映射，Rahu 口径由 node_mode 决定。"""
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if not HAS_SWE:
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return {}
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return {**BASE_PLANETS_SWE, 'Rahu': _node_pid(node_mode)}
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def _calc_sidereal_planets_for_jd(jd, node_mode='mean', include_ketu=True):
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"""使用 Swiss Ephemeris 计算指定 Julian Day 的恒星黄道行星位置。"""
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if not HAS_SWE:
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return {}, None
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ayanamsa = swe.get_ayanamsa(jd)
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data = {}
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for pname, pid in _planet_map_for_node_mode(node_mode).items():
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pos, ret = swe.calc_ut(jd, pid)
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if ret < 0:
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continue
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lon = (pos[0] - ayanamsa) % 360
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sign_idx = int(lon / 30) % 12
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speed = pos[3] if len(pos) > 3 else 0
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data[pname] = {
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'sign': SIGNS[sign_idx],
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'sign_cn': SIGNS_CN[SIGNS[sign_idx]],
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'degree': round(lon, 4),
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'degree_raw': lon,
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'degree_in_sign': round(lon % 30, 2),
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'degree_in_sign_raw': lon % 30,
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'speed': round(speed, 4),
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'retrograde': speed < 0,
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}
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if include_ketu and 'Rahu' in data:
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rahu_lon = data['Rahu']['degree_raw']
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ketu_lon = (rahu_lon + 180) % 360
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ketu_idx = int(ketu_lon / 30) % 12
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data['Ketu'] = {
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'sign': SIGNS[ketu_idx],
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'sign_cn': SIGNS_CN[SIGNS[ketu_idx]],
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'degree': round(ketu_lon, 4),
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'degree_raw': ketu_lon,
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'degree_in_sign': round(ketu_lon % 30, 2),
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'degree_in_sign_raw': ketu_lon % 30,
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'speed': data['Rahu'].get('speed', 0),
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'retrograde': data['Rahu'].get('retrograde', True),
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}
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return data, ayanamsa
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def output_json(data):
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"""统一JSON输出"""
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print(json.dumps(data, ensure_ascii=False, indent=2, default=str))
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def _add_chart_args(p):
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"""为需要出生数据的子命令添加公共参数"""
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p.add_argument('--year', type=int, required=True)
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p.add_argument('--month', type=int, required=True)
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p.add_argument('--day', type=int, required=True)
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p.add_argument('--hour', type=int, required=True)
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p.add_argument('--minute', type=int, required=True)
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p.add_argument('--lat', type=float, required=True)
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p.add_argument('--lon', type=float, required=True)
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p.add_argument('--tz', type=float, default=0)
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p.add_argument('--node-mode', default='mean', choices=['mean', 'true'], help='Rahu/Ketu节点口径：mean=Mean Node（默认，JHora常用/Swiss direct baseline），true=True Node（PyJHora默认）')
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# ============================================================================
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# 公共星盘计算（供 chart/shadbala/ashtakavarga 共用，v3.4提取）
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# ============================================================================
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def compute_chart_data(year, month, day, hour, minute, lat, lon, tz, node_mode='mean'):
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"""计算星盘核心数据，返回 (result_dict, asc_idx, jd, ayanamsa)。node_mode: mean|true。"""
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if not HAS_SWE:
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return None, None, None, None
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swe.set_ephe_path('')
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hour_decimal = hour + minute / 60.0 - tz
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jd = swe.julday(year, month, day, hour_decimal)
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ayanamsa = swe.get_ayanamsa(jd)
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node_mode = (node_mode or 'mean').lower()
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if node_mode not in ('mean', 'true'):
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node_mode = 'mean'
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node_pid = _node_pid(node_mode)
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result = {"birth_info": {
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"date": f"{year}-{month:02d}-{day:02d}", "time": f"{hour:02d}:{minute:02d}",
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"tz": f"UTC{'+' if tz >= 0 else ''}{tz}", "lat": lat, "lon": lon,
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"julian_day": round(jd, 6), "ayanamsa": round(ayanamsa, 4),
|
||
"node_mode": node_mode, "node_mode_note": "mean=Mean Node; true=True Node. PyJHora默认true，本skill默认mean。"
|
||
}, "ascendant": None, "planets": {}, "houses": {}}
|
||
|
||
asc_lon, _ = swe.houses(jd, lat, lon, b'A')
|
||
asc_deg = (asc_lon[0] - ayanamsa) % 360
|
||
asc_idx = int(asc_deg / 30)
|
||
asc_sign = SIGNS[asc_idx]
|
||
result["ascendant"] = {"sign": asc_sign, "sign_cn": SIGNS_CN[asc_sign],
|
||
"degree": round(asc_deg, 4), "degree_in_sign": round(asc_deg - asc_idx * 30, 4),
|
||
"lord": SIGN_LORDS[asc_sign]}
|
||
|
||
for i in range(12):
|
||
c = (asc_lon[i] - ayanamsa) % 360
|
||
si = int(c / 30)
|
||
result["houses"][f"house_{i+1}"] = {"cusp_sign": SIGNS[si],
|
||
"cusp_sign_cn": SIGNS_CN[SIGNS[si]], "cusp_degree": round(c, 4),
|
||
"lord": SIGN_LORDS[SIGNS[si]]}
|
||
|
||
nak_span = 360.0 / 27
|
||
planets_swe = {**BASE_PLANETS_SWE, 'Rahu': node_pid}
|
||
for pname, pid in planets_swe.items():
|
||
try:
|
||
pos, _ = swe.calc_ut(jd, pid)
|
||
lon_p = (pos[0] - ayanamsa) % 360; lat_p = pos[1]; spd = pos[3]
|
||
si = int(lon_p / 30); d_in_s = lon_p - si * 30; sign = SIGNS[si]
|
||
retro = spd < 0
|
||
house = ((si - asc_idx) % 12) + 1
|
||
status = "中性"
|
||
if EXALTATION.get(pname) == sign: status = "入旺(Exalted)"
|
||
elif DEBILITATION.get(pname) == sign: status = "落陷(Debilitated)"
|
||
elif SIGN_LORDS.get(sign) == pname: status = "入庙(Own Sign)"
|
||
ni = int(lon_p / nak_span); pada = int((lon_p % nak_span) / (nak_span / 4)) + 1
|
||
nak_n, nak_l, _ = NAKSHATRA_LIST[ni % 27]
|
||
result["planets"][pname] = {
|
||
"sign": sign, "sign_cn": SIGNS_CN[sign], "degree": round(lon_p, 4),
|
||
"degree_raw": lon_p,
|
||
"degree_in_sign": round(d_in_s, 4), "degree_in_sign_raw": d_in_s,
|
||
"house": house, "status": status,
|
||
"retrograde": retro, "speed": round(spd, 6),
|
||
"nakshatra": nak_n, "nakshatra_pada": pada, "nakshatra_lord": nak_l}
|
||
if pname == 'Rahu':
|
||
klon = (lon_p + 180) % 360; ksi = int(klon / 30); kd = klon - ksi * 30
|
||
kni = int(klon / nak_span); kp = int((klon % nak_span) / (nak_span / 4)) + 1
|
||
kn, kl, _ = NAKSHATRA_LIST[kni % 27]
|
||
result["planets"]["Ketu"] = {
|
||
"sign": SIGNS[ksi], "sign_cn": SIGNS_CN[SIGNS[ksi]],
|
||
"degree": round(klon, 4), "degree_raw": klon,
|
||
"degree_in_sign": round(kd, 4), "degree_in_sign_raw": kd,
|
||
"house": ((ksi - asc_idx) % 12) + 1, "status": "中性",
|
||
"retrograde": True, "speed": round(spd, 6),
|
||
"nakshatra": kn, "nakshatra_pada": kp, "nakshatra_lord": kl}
|
||
except Exception as e:
|
||
result["planets"][pname] = {"error": str(e)}
|
||
return result, asc_idx, jd, ayanamsa
|
||
|
||
|
||
# ============================================================================
|
||
# 1. 星盘计算
|
||
# ============================================================================
|
||
def cmd_chart(args):
|
||
result, asc_idx, jd, ayanamsa = compute_chart_data(args.year, args.month, args.day, args.hour, args.minute, args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if result is None:
|
||
return {"error": "swisseph未安装"}
|
||
# v3.5: --validate 触发 R1-R10 校验
|
||
if getattr(args, 'validate', False):
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from ashtakavarga import calc_ashtakavarga
|
||
asht_result = calc_ashtakavarga(result.get('planets', {}), asc_idx)
|
||
from validate import validate_chart
|
||
validation = validate_chart(result, asht_result)
|
||
result['validation'] = validation
|
||
except Exception as e:
|
||
result['validation'] = {"error": str(e), "valid": False}
|
||
return result
|
||
|
||
|
||
# ============================================================================
|
||
# 2. Dasha计算
|
||
# ============================================================================
|
||
def cmd_dasha(args):
|
||
nak_info = None; progress = 0.5
|
||
if args.moon_lon is not None:
|
||
ns = 360.0 / 27; idx = int(args.moon_lon / ns); progress = (args.moon_lon % ns) / ns
|
||
nak_info = NAKSHATRA_LIST[idx % 27]
|
||
elif args.nakshatra:
|
||
nl = args.nakshatra.lower().replace(" ", "").replace("-", "")
|
||
for n in NAKSHATRA_LIST:
|
||
if nl in n[0].lower().replace(" ", "") or n[0].lower().replace(" ", "").startswith(nl[:5]):
|
||
nak_info = n; break
|
||
if not nak_info: return {"error": f"未找到Nakshatra: {args.nakshatra}"}
|
||
if args.pada: progress = (max(1, min(4, args.pada)) - 1) / 4 + 0.125
|
||
else:
|
||
return {"error": "请提供 --nakshatra 或 --moon-lon"}
|
||
|
||
nak_name, start_lord, start_years = nak_info
|
||
birth_dt = datetime.strptime(args.birthdate, "%Y-%m-%d")
|
||
elapsed = progress * start_years; remaining = start_years - elapsed
|
||
dt = birth_dt - timedelta(days=elapsed * 365.25)
|
||
si = DASHA_ORDER.index(start_lord)
|
||
timeline = []
|
||
for i in range(9):
|
||
lord = DASHA_ORDER[(si + i) % 9]; years = DASHA_YEARS[lord]
|
||
end_dt = dt + timedelta(days=years * 365.25)
|
||
# 第一个 MD 的展示 years 用 balance，实际日期计算用完整年数（数学等价）
|
||
display_years = round(remaining, 2) if i == 0 else years
|
||
timeline.append({"lord": lord, "lord_cn": PLANET_CN[lord], "start": dt.strftime("%Y-%m-%d"), "end": end_dt.strftime("%Y-%m-%d"), "years": display_years, "full_years": years, "is_current": False, "is_balance": i == 0, "balance_years": round(remaining, 2) if i == 0 else None, "elapsed_at_birth": round(elapsed, 2) if i == 0 else None})
|
||
dt = end_dt
|
||
|
||
today = datetime.strptime(args.today, "%Y-%m-%d") if args.today else datetime.now()
|
||
current = None
|
||
for d in timeline:
|
||
ds = datetime.strptime(d["start"], "%Y-%m-%d"); de = datetime.strptime(d["end"], "%Y-%m-%d")
|
||
total_days = (de - ds).days; li = DASHA_ORDER.index(d["lord"])
|
||
# v3.7.2: 为所有 Mahadasha 计算 Antardasha（不仅当前大运）
|
||
sub = []; sdt = ds
|
||
for j in range(9):
|
||
sl = DASHA_ORDER[(li + j) % 9]; sd = total_days * DASHA_YEARS[sl] / 120
|
||
se = sdt + timedelta(days=sd)
|
||
is_cur = sdt <= today < se
|
||
sub.append({"lord": sl, "lord_cn": PLANET_CN[sl], "start": sdt.strftime("%Y-%m-%d"), "end": se.strftime("%Y-%m-%d"), "is_current": is_cur})
|
||
sdt = se
|
||
d["antardasha_timeline"] = sub
|
||
if ds <= today < de:
|
||
d["is_current"] = True
|
||
# 从 antardasha 列表中提取当前正在运行的 antardasha
|
||
current_ad = None
|
||
for ad in sub:
|
||
if ad.get("is_current"):
|
||
current_ad = ad
|
||
break
|
||
d["mahadasha"] = d.get("lord", "")
|
||
d["mahadasha_cn"] = d.get("lord_cn", "")
|
||
d["antardasha"] = current_ad or (sub[0] if sub else None)
|
||
current = d
|
||
|
||
return {"moon_nakshatra": nak_name, "birth_date": args.birthdate, "reference_date": today.strftime("%Y-%m-%d"), "timeline": timeline, "current_dasha": current}
|
||
|
||
|
||
# ============================================================================
|
||
# 3. Yoga识别
|
||
# ============================================================================
|
||
def cmd_yoga(args):
|
||
planets = {}
|
||
if args.planets:
|
||
for item in args.planets.split(','):
|
||
parts = item.strip().split(':')
|
||
if len(parts) >= 3:
|
||
planets[parts[0].strip()] = {"sign": parts[1].strip(), "house": int(parts[2].strip())}
|
||
asc = args.ascendant or "Aries"
|
||
ai = SIGNS.index(asc) if asc in SIGNS else 0
|
||
kl = list(set([SIGN_LORDS[SIGNS[(ai + h - 1) % 12]] for h in [1, 4, 7, 10]]))
|
||
tl = list(set([SIGN_LORDS[SIGNS[(ai + h - 1) % 12]] for h in [1, 5, 9]]))
|
||
yogas = []
|
||
|
||
# Raja Yoga
|
||
for k in kl:
|
||
for t in tl:
|
||
if k != t and k in planets and t in planets and planets[k]["house"] == planets[t]["house"]:
|
||
yogas.append({"name": "Raja Yoga", "name_cn": "王者格局", "combination": f"{k}+{t}同在第{planets[k]['house']}宫", "effects": ["权力地位", "事业成功", "社会影响力"], "strength": "强" if planets[k]["sign"] in [EXALTATION.get(k, ''), SIGN_LORDS.get(planets[k]["sign"], '')] else "中"})
|
||
|
||
# Mahapurusha Yoga
|
||
yoga_names = {'Mars': 'Ruchaka', 'Mercury': 'Bhadra', 'Jupiter': 'Hamsa', 'Venus': 'Malavya', 'Saturn': 'Sasa'}
|
||
for p, info in planets.items():
|
||
if info["house"] in [1, 4, 7, 10] and p in yoga_names:
|
||
if EXALTATION.get(p) == info["sign"] or SIGN_LORDS.get(info["sign"]) == p:
|
||
st = "入旺" if EXALTATION.get(p) == info["sign"] else "入庙"
|
||
yogas.append({"name": f"{yoga_names[p]} Yoga", "name_cn": f"{PLANET_CN.get(p, p)}{st}格局", "combination": f"{p}{st}在{info['sign']}(第{info['house']}宫)", "effects": ["卓越才能", "领域领军", "人格魅力"], "strength": "极强" if st == "入旺" else "强"})
|
||
|
||
# Gajakesari
|
||
if 'Jupiter' in planets and 'Moon' in planets:
|
||
jh = planets['Jupiter']['house']; mh = planets['Moon']['house']
|
||
if jh in [1, 4, 7, 10] and mh in [1, 4, 7, 10]:
|
||
yogas.append({"name": "Gajakesari Yoga", "name_cn": "象狮格局", "combination": f"木星第{jh}宫+月亮第{mh}宫", "effects": ["智慧学识", "财富名声", "道德品质"], "strength": "中"})
|
||
|
||
# Neechabhanga
|
||
for p, info in planets.items():
|
||
if DEBILITATION.get(p) == info["sign"]:
|
||
dl = SIGN_LORDS[info["sign"]]
|
||
if dl in planets and planets[dl]["house"] in [1, 4, 7, 10]:
|
||
yogas.append({"name": "Neechabhanga Raja Yoga", "name_cn": "落陷取消格局", "combination": f"{p}落陷在{info['sign']}，{dl}在角宫化解", "effects": ["克服困难", "逆境崛起", "转化能力"], "strength": "中强"})
|
||
|
||
# Dhana Yoga
|
||
wl = set(); wh = [2, 5, 9, 11]
|
||
for h in wh:
|
||
wl.add(SIGN_LORDS[SIGNS[(ai + h - 1) % 12]])
|
||
wc = sum(1 for w in wl if w in planets and planets[w]["house"] in wh)
|
||
if wc >= 2:
|
||
yogas.append({"name": "Dhana Yoga", "name_cn": "财富格局", "combination": f"{wc}个财富宫主星落入财富宫", "effects": ["财富积累", "物质成功", "投资收益"], "strength": "中强" if wc >= 3 else "中"})
|
||
|
||
# Solar Yogas (Veshi/Voshi/Ubhayachari)
|
||
if 'Sun' in planets:
|
||
sun_h = planets['Sun']['house']
|
||
h2_from_sun = ((sun_h - 1 + 1) % 12) + 1 # 2nd from Sun
|
||
h12_from_sun = ((sun_h - 1 + 11) % 12) + 1 # 12th from Sun
|
||
planets_in_h2 = [p for p, info in planets.items() if info['house'] == h2_from_sun]
|
||
planets_in_h12 = [p for p, info in planets.items() if info['house'] == h12_from_sun]
|
||
if planets_in_h12 and not planets_in_h2:
|
||
yogas.append({"name": "Voshi Yoga", "name_cn": "太阳前瑜伽", "combination": f"{'+'.join(planets_in_h12)}在太阳第12宫", "effects": ["口才出众", "善于表达", "受人尊敬"], "strength": "中"})
|
||
if planets_in_h2 and not planets_in_h12:
|
||
yogas.append({"name": "Veshi Yoga", "name_cn": "太阳后瑜伽", "combination": f"{'+'.join(planets_in_h2)}在太阳第2宫", "effects": ["财富充裕", "生活舒适", "性情愉快"], "strength": "中"})
|
||
if planets_in_h2 and planets_in_h12:
|
||
yogas.append({"name": "Ubhayachari Yoga", "name_cn": "太阳双夹瑜伽", "combination": f"太阳两侧均有行星", "effects": ["性格坚毅", "口才与财富兼备", "受人爱戴"], "strength": "强"})
|
||
|
||
# Lunar Yogas (Sunapha/Anapha/Durudhura/Kemadruma)
|
||
if 'Moon' in planets:
|
||
moon_h = planets['Moon']['house']
|
||
h2_from_moon = ((moon_h - 1 + 1) % 12) + 1
|
||
h12_from_moon = ((moon_h - 1 + 11) % 12) + 1
|
||
p_in_h2_moon = [p for p, info in planets.items() if p != 'Moon' and info['house'] == h2_from_moon]
|
||
p_in_h12_moon = [p for p, info in planets.items() if p != 'Moon' and info['house'] == h12_from_moon]
|
||
if p_in_h12_moon and not p_in_h2_moon:
|
||
yogas.append({"name": "Anapha Yoga", "name_cn": "月后瑜伽", "combination": f"{'+'.join(p_in_h12_moon)}在月亮第12宫", "effects": ["体格健壮", "名声良好", "品德高尚"], "strength": "中"})
|
||
if p_in_h2_moon and not p_in_h12_moon:
|
||
yogas.append({"name": "Sunapha Yoga", "name_cn": "月前瑜伽", "combination": f"{'+'.join(p_in_h2_moon)}在月亮第2宫", "effects": ["自力更生", "财富充裕", "受人尊敬"], "strength": "中"})
|
||
if p_in_h2_moon and p_in_h12_moon:
|
||
yogas.append({"name": "Durudhura Yoga", "name_cn": "月双夹瑜伽", "combination": f"月亮两侧均有行星", "effects": ["享受丰富", "善于辞令", "性格坚定"], "strength": "强"})
|
||
# Kemadruma Yoga: Moon两侧（2宫和12宫）均无行星
|
||
if not p_in_h2_moon and not p_in_h12_moon:
|
||
yogas.append({"name": "Kemadruma Yoga", "name_cn": "空劫瑜伽", "combination": f"月亮两侧均无行星（2宫/12宫空）", "effects": ["人生艰辛", "需自力更生", "精神挑战"], "strength": "凶"})
|
||
|
||
# ========================================================================
|
||
# 扩展组合型 Yoga（v3.7.2 新增，共 25 条）
|
||
# ========================================================================
|
||
|
||
# --- 辅助函数 ---
|
||
def _house_of(planet_name):
|
||
"""获取行星所在宫位，不存在返回 None"""
|
||
return planets[planet_name]["house"] if planet_name in planets else None
|
||
|
||
def _sign_of(planet_name):
|
||
"""获取行星所在星座，不存在返回 None"""
|
||
return planets[planet_name]["sign"] if planet_name in planets else None
|
||
|
||
def _is_exalted(planet_name):
|
||
"""行星是否入旺"""
|
||
s = _sign_of(planet_name)
|
||
return s is not None and EXALTATION.get(planet_name) == s
|
||
|
||
def _is_own_sign(planet_name):
|
||
"""行星是否入庙"""
|
||
s = _sign_of(planet_name)
|
||
return s is not None and SIGN_LORDS.get(s) == planet_name
|
||
|
||
def _is_debilitated(planet_name):
|
||
"""行星是否落陷"""
|
||
s = _sign_of(planet_name)
|
||
return s is not None and DEBILITATION.get(planet_name) == s
|
||
|
||
def _is_kendra(house_num):
|
||
return house_num in [1, 4, 7, 10]
|
||
|
||
def _is_trikona(house_num):
|
||
return house_num in [1, 5, 9]
|
||
|
||
def _is_dusthana(house_num):
|
||
return house_num in [6, 8, 12]
|
||
|
||
def _is_upachaya(house_num):
|
||
return house_num in [3, 6, 10, 11]
|
||
|
||
def _planets_in_house(h):
|
||
"""获取落入第 h 宫的所有行星列表"""
|
||
return [p for p, info in planets.items() if info["house"] == h]
|
||
|
||
def _lord_of_house(h):
|
||
"""获取第 h 宫的宫主星"""
|
||
return SIGN_LORDS[SIGNS[(ai + h - 1) % 12]]
|
||
|
||
def _planet_in_kendra_or_trikona(planet_name):
|
||
"""行星是否在角宫或三方宫"""
|
||
h = _house_of(planet_name)
|
||
return h is not None and (_is_kendra(h) or _is_trikona(h))
|
||
|
||
# ========================================================================
|
||
# 1. Vipreet Raja Yoga（逆行王者格局）—— Harsha / Sarala / Vimala
|
||
# 来源：Phaladeepika。6/8/12 宫主星落入 6/8/12 宫（凶宫互落）→ 因祸得福
|
||
# ========================================================================
|
||
for dh_h, yoga_sub, yoga_cn in [(6, "Harsha", "喜悦逆行"), (8, "Sarala", "锐利逆行"), (12, "Vimala", "纯净逆行")]:
|
||
lord_dh = _lord_of_house(dh_h)
|
||
if lord_dh in planets:
|
||
lh = _house_of(lord_dh)
|
||
if lh in [6, 8, 12] and lh != dh_h:
|
||
yogas.append({"name": f"{yoga_sub} Vipreet Raja Yoga", "name_cn": f"{yoga_cn}格局", "combination": f"第{dh_h}宫主星{lord_dh}落入第{lh}宫（凶宫互落）", "effects": ["因祸得福", "逆境崛起", "困境中成长"], "strength": "中强"})
|
||
|
||
# ========================================================================
|
||
# 2. Amala Yoga（无瑕格局）
|
||
# 来源：BPHS。10 宫（天顶）及其前方（从10宫算2宫即11宫）有吉星
|
||
# 简化版：10 宫或 11 宫有木星/金星/明亮水星
|
||
# ========================================================================
|
||
benefics_10_11 = [p for p in ['Jupiter', 'Venus', 'Mercury'] if p in planets and _house_of(p) in [10, 11] and not _is_debilitated(p)]
|
||
if benefics_10_11:
|
||
yogas.append({"name": "Amala Yoga", "name_cn": "无瑕格局", "combination": f"{'、'.join(benefics_10_11)}在10宫或11宫", "effects": ["名声清白", "受人敬仰", "事业有成"], "strength": "中强"})
|
||
|
||
# ========================================================================
|
||
# 3. Parvata Yoga（山岳格局）
|
||
# 来源：BPHS。角宫主星有力 + 6/8 宫主星落入对应凶宫
|
||
# 简化版：至少两个角宫主星在角宫或三方宫 + 6/8宫主不在1宫
|
||
# ========================================================================
|
||
kendra_lords_strong = sum(1 for k in kl if k in planets and _planet_in_kendra_or_trikona(k))
|
||
if kendra_lords_strong >= 2:
|
||
lord_6 = _lord_of_house(6)
|
||
lord_8 = _lord_of_house(8)
|
||
lord_6_ok = lord_6 in planets and _house_of(lord_6) != 1
|
||
lord_8_ok = lord_8 in planets and _house_of(lord_8) != 1
|
||
if lord_6_ok or lord_8_ok:
|
||
yogas.append({"name": "Parvata Yoga", "name_cn": "山岳格局", "combination": f"角宫主星有力+凶宫主星不落入1宫", "effects": ["智慧卓越", "富有口才", "品格高尚"], "strength": "中"})
|
||
|
||
# ========================================================================
|
||
# 4. Kahala Yoga（勇气格局）
|
||
# 来源：BPHS。3 宫主与 10 宫主有连接（同宫/互换/相位），且落入角宫
|
||
# 简化版：3 宫主与 10 宫主同在一宫
|
||
# ========================================================================
|
||
lord_3 = _lord_of_house(3)
|
||
lord_10 = _lord_of_house(10)
|
||
if lord_3 in planets and lord_10 in planets:
|
||
if _house_of(lord_3) == _house_of(lord_10):
|
||
yogas.append({"name": "Kahala Yoga", "name_cn": "勇气格局", "combination": f"3宫主{lord_3}与10宫主{lord_10}同在第{_house_of(lord_3)}宫", "effects": ["意志坚定", "领导才能", "充满活力"], "strength": "中"})
|
||
|
||
# ========================================================================
|
||
# 5. Sankha Yoga（海螺格局）
|
||
# 来源：BPHS。5 宫主 + 6 宫主落入角宫/三方宫，且上升主星有力
|
||
# 简化版：5宫主和6宫主均在角宫或三方宫
|
||
# ========================================================================
|
||
lord_5 = _lord_of_house(5)
|
||
lord_6 = _lord_of_house(6)
|
||
if lord_5 in planets and lord_6 in planets:
|
||
l5h = _house_of(lord_5)
|
||
l6h = _house_of(lord_6)
|
||
if (_is_kendra(l5h) or _is_trikona(l5h)) and (_is_kendra(l6h) or _is_trikona(l6h)):
|
||
yogas.append({"name": "Sankha Yoga", "name_cn": "海螺格局", "combination": f"5宫主{lord_5}在第{l5h}宫+6宫主{lord_6}在第{l6h}宫（均有力）", "effects": ["学识渊博", "品德高尚", "物质充裕"], "strength": "中强"})
|
||
|
||
# ========================================================================
|
||
# 6. Bheri Yoga（旗帜格局）
|
||
# 来源：BPHS。9 宫主落入 2 宫 + 木星/金星在角宫/三方宫 + 上升主与 9 宫主有关联
|
||
# 简化版：9 宫主在 2 宫 + 木星或金星在角宫
|
||
# ========================================================================
|
||
lord_9 = _lord_of_house(9)
|
||
if lord_9 in planets and _house_of(lord_9) == 2:
|
||
jv_in_kendra = [p for p in ['Jupiter', 'Venus'] if p in planets and _is_kendra(_house_of(p))]
|
||
if jv_in_kendra:
|
||
yogas.append({"name": "Bheri Yoga", "name_cn": "旗帜格局", "combination": f"9宫主{lord_9}在2宫+{'、'.join(jv_in_kendra)}在角宫", "effects": ["品德高尚", "长寿幸福", "受人敬仰"], "strength": "中"})
|
||
|
||
# ========================================================================
|
||
# 7. Mridanga Yoga（鼓格局）
|
||
# 来源：BPHS。上升主星在入旺/入庙 + 其他行星在自身入旺/入庙星座
|
||
# 简化版：上升主星入旺或入庙
|
||
# ========================================================================
|
||
asc_lord = SIGN_LORDS.get(asc, '')
|
||
if asc_lord in planets and (_is_exalted(asc_lord) or _is_own_sign(asc_lord)):
|
||
other_strong = [p for p in planets if p != asc_lord and p not in ['Rahu', 'Ketu'] and (_is_exalted(p) or _is_own_sign(p))]
|
||
if other_strong:
|
||
st = "入旺" if _is_exalted(asc_lord) else "入庙"
|
||
yogas.append({"name": "Mridanga Yoga", "name_cn": "鼓格局", "combination": f"上升主星{asc_lord}{st}+{'、'.join(other_strong)}有力", "effects": ["权力权威", "个人魅力", "领导气质"], "strength": "强"})
|
||
|
||
# ========================================================================
|
||
# 8. Sreenatha Yoga（幸运之主格局）
|
||
# 来源：BPHS。7 宫主星落入 10 宫且 10 宫主落入 1 宫
|
||
# ========================================================================
|
||
lord_7 = _lord_of_house(7)
|
||
if lord_7 in planets and lord_10 in planets:
|
||
if _house_of(lord_7) == 10 and _house_of(lord_10) == 1:
|
||
yogas.append({"name": "Sreenatha Yoga", "name_cn": "幸运之主格局", "combination": f"7宫主{lord_7}在10宫+10宫主{lord_10}在1宫", "effects": ["事业辉煌", "婚姻美满", "贵人相助"], "strength": "强"})
|
||
|
||
# ========================================================================
|
||
# 9. Matsya Yoga（鱼格局）
|
||
# 来源：BPHS。1/5/9 宫中有吉星 + 6/8 宫有凶星 + 上升与木星/金星有连接
|
||
# 简化版：三方宫(5/9)有吉星 + 6/8宫有凶星
|
||
# ========================================================================
|
||
benefics = ['Jupiter', 'Venus', 'Mercury']
|
||
malefics = ['Mars', 'Saturn', 'Sun', 'Rahu', 'Ketu']
|
||
ben_in_trikona = [p for p in benefics if p in planets and _house_of(p) in [5, 9]]
|
||
mal_in_dusthana = [p for p in malefics if p in planets and _house_of(p) in [6, 8]]
|
||
if ben_in_trikona and mal_in_dusthana:
|
||
yogas.append({"name": "Matsya Yoga", "name_cn": "鱼格局", "combination": f"{'、'.join(ben_in_trikona)}在三方宫+{'、'.join(mal_in_dusthana)}在凶宫", "effects": ["聪慧过人", "直觉敏锐", "灵性成长"], "strength": "中"})
|
||
|
||
# ========================================================================
|
||
# 10. Koorma Yoga（龟格局）
|
||
# 来源：BPHS。5/9 宫主落入三方宫 + 1 宫有吉星
|
||
# 简化版：5宫主或9宫主在1宫，且1宫有吉星
|
||
# ========================================================================
|
||
ben_in_1 = [p for p in benefics if p in planets and _house_of(p) == 1]
|
||
lord_5_or_9_in_1 = False
|
||
for lp in [lord_5, lord_9]:
|
||
if lp in planets and _house_of(lp) == 1:
|
||
lord_5_or_9_in_1 = True
|
||
if ben_in_1 and lord_5_or_9_in_1:
|
||
yogas.append({"name": "Koorma Yoga", "name_cn": "龟格局", "combination": f"吉星在1宫+5/9宫主在1宫", "effects": ["智慧深厚", "耐心坚韧", "精神修养"], "strength": "中"})
|
||
|
||
# ========================================================================
|
||
# 11. Khadga Yoga（剑格局）
|
||
# 来源：BPHS。2 宫主落入 2 宫且不被凶星占据 + 9 宫主有力
|
||
# 简化版：2 宫主在 2 宫且 2 宫无凶星
|
||
# ========================================================================
|
||
lord_2 = _lord_of_house(2)
|
||
if lord_2 in planets and _house_of(lord_2) == 2:
|
||
mal_in_2 = [p for p in malefics if p in planets and _house_of(p) == 2]
|
||
if not mal_in_2:
|
||
yogas.append({"name": "Khadga Yoga", "name_cn": "剑格局", "combination": f"2宫主{lord_2}在2宫且2宫无凶星", "effects": ["财富充裕", "口才出众", "品格坚定"], "strength": "中"})
|
||
|
||
# ========================================================================
|
||
# 12. Kusuma Yoga（花格局）
|
||
# 来源：BPHS。木星在 10 宫 + 月亮在 1 宫 + 太阳在 2 宫 + 金星在 9 宫
|
||
# ========================================================================
|
||
jup_10 = 'Jupiter' in planets and _house_of('Jupiter') == 10
|
||
moon_1 = 'Moon' in planets and _house_of('Moon') == 1
|
||
sun_2 = 'Sun' in planets and _house_of('Sun') == 2
|
||
ven_9 = 'Venus' in planets and _house_of('Venus') == 9
|
||
checks_kusuma = [jup_10, moon_1, sun_2, ven_9]
|
||
met_kusuma = sum(checks_kusuma)
|
||
if met_kusuma >= 3:
|
||
parts = []
|
||
if jup_10: parts.append("木星在10宫")
|
||
if moon_1: parts.append("月亮在1宫")
|
||
if sun_2: parts.append("太阳在2宫")
|
||
if ven_9: parts.append("金星在9宫")
|
||
yogas.append({"name": "Kusuma Yoga", "name_cn": "花格局", "combination": "+".join(parts), "effects": ["才貌双全", "受人爱戴", "幸福美满"], "strength": "强" if met_kusuma == 4 else "中强"})
|
||
|
||
# ========================================================================
|
||
# 13. Chandra-Mangala Yoga（日月-火星格局）
|
||
# 来源：BPHS。火星与月亮同宫或在 2/12 宫关系
|
||
# ========================================================================
|
||
if 'Moon' in planets and 'Mars' in planets:
|
||
mh = _house_of('Moon')
|
||
marsh = _house_of('Mars')
|
||
if mh == marsh:
|
||
yogas.append({"name": "Chandra-Mangala Yoga", "name_cn": "日月火星同宫格局", "combination": f"火星与月亮同在第{mh}宫", "effects": ["财富积累", "行动力强", "情绪驱动成功"], "strength": "强" if _is_exalted('Mars') or _is_own_sign('Mars') else "中"})
|
||
elif abs(mh - marsh) in [1, 11]:
|
||
yogas.append({"name": "Chandra-Mangala Yoga", "name_cn": "日月火星关联格局", "combination": f"火星在第{marsh}宫，月亮在第{mh}宫（2/12宫关系）", "effects": ["财运亨通", "精力充沛", "商业头脑"], "strength": "中"})
|
||
|
||
# ========================================================================
|
||
# 14. Dwi-Gurupada Yoga / Guru-Mangala Yoga（木火格局）
|
||
# 来源：木星与火星同宫或互换星座
|
||
# ========================================================================
|
||
if 'Jupiter' in planets and 'Mars' in planets:
|
||
jup_s = _sign_of('Jupiter')
|
||
mars_s = _sign_of('Mars')
|
||
jup_h = _house_of('Jupiter')
|
||
mars_h = _house_of('Mars')
|
||
if jup_h == mars_h:
|
||
yogas.append({"name": "Guru-Mangala Yoga", "name_cn": "木火同宫格局", "combination": f"木星与火星同在第{jup_h}宫", "effects": ["智慧与行动力兼备", "正义感强", "领导能力"], "strength": "中强"})
|
||
elif SIGN_LORDS.get(jup_s) == 'Mars' and SIGN_LORDS.get(mars_s) == 'Jupiter':
|
||
yogas.append({"name": "Guru-Mangala Yoga", "name_cn": "木火互容格局", "combination": f"木星在{jup_s}(火星守护)+火星在{mars_s}(木星守护)", "effects": ["智慧与行动力兼备", "正义感强", "领导能力"], "strength": "强"})
|
||
|
||
# ========================================================================
|
||
# 15. Budhaditya Yoga（水日格局）
|
||
# 来源：BPHS。水星与太阳同宫
|
||
# ========================================================================
|
||
if 'Mercury' in planets and 'Sun' in planets:
|
||
if _house_of('Mercury') == _house_of('Sun'):
|
||
yogas.append({"name": "Budhaditya Yoga", "name_cn": "水日同宫格局", "combination": f"水星与太阳同在第{_house_of('Sun')}宫", "effects": ["智力超群", "口才出众", "学识渊博"], "strength": "中强" if not _is_debilitated('Mercury') else "弱"})
|
||
|
||
# ========================================================================
|
||
# 16. Lakshmi Yoga（拉克什米格局/财富女神格局）
|
||
# 来源：BPHS。9 宫主在入旺/入庙星座且落入 1 宫
|
||
# ========================================================================
|
||
if lord_9 in planets:
|
||
l9h = _house_of(lord_9)
|
||
if l9h == 1 and (_is_exalted(lord_9) or _is_own_sign(lord_9)):
|
||
st = "入旺" if _is_exalted(lord_9) else "入庙"
|
||
yogas.append({"name": "Lakshmi Yoga", "name_cn": "财富女神格局", "combination": f"9宫主{lord_9}{st}在1宫", "effects": ["财富充裕", "生活幸福", "品德高尚"], "strength": "强"})
|
||
|
||
# ========================================================================
|
||
# 17. Vasumati Yoga（大地格局）
|
||
# 来源：BPHS。所有吉星（木星/金星/水星/月亮）在上升盘的 3/6/10/11 宫（成长宫）
|
||
# ========================================================================
|
||
upachaya_benefics = [p for p in ['Jupiter', 'Venus', 'Mercury', 'Moon'] if p in planets and _is_upachaya(_house_of(p))]
|
||
if len(upachaya_benefics) >= 3:
|
||
yogas.append({"name": "Vasumati Yoga", "name_cn": "大地格局", "combination": f"{len(upachaya_benefics)}颗吉星在成长宫(3/6/10/11)", "effects": ["财富丰厚", "生活富足", "物质成功"], "strength": "中强" if len(upachaya_benefics) >= 4 else "中"})
|
||
|
||
# ========================================================================
|
||
# 18. Vanchana Kalusha Yoga / Papakartari Yoga（凶星夹宫格局）
|
||
# 来源：Brihat Jataka。某宫被两侧凶星夹击（前一宫和后一宫均有凶星）
|
||
# ========================================================================
|
||
for target_house in [1, 4, 7, 10, 5, 9]:
|
||
prev_h = ((target_house - 2) % 12) + 1
|
||
next_h = (target_house % 12) + 1
|
||
mal_before = [p for p in malefics if p in planets and _house_of(p) == prev_h]
|
||
mal_after = [p for p in malefics if p in planets and _house_of(p) == next_h]
|
||
if mal_before and mal_after:
|
||
house_names = {1: "命宫", 4: "田宅宫", 7: "夫妻宫", 10: "事业宫", 5: "子女宫", 9: "迁移宫"}
|
||
yogas.append({"name": "Papakartari Yoga", "name_cn": f"凶星夹{house_names.get(target_house, f'第{target_house}宫')}格局", "combination": f"第{target_house}宫被{'、'.join(mal_before)}和{'、'.join(mal_after)}前后夹击", "effects": [f"{house_names.get(target_house, f'第{target_house}宫')}领域受限", "需要额外努力", "阻碍与挑战"], "strength": "凶"})
|
||
break # 只报告一次
|
||
|
||
# ========================================================================
|
||
# 19. Subhakartari Yoga（吉星夹宫格局）
|
||
# 来源：Brihat Jataka。与 Papakartari 相反——某宫被两侧吉星包围
|
||
# ========================================================================
|
||
for target_house in [1, 4, 7, 10, 5, 9]:
|
||
prev_h = ((target_house - 2) % 12) + 1
|
||
next_h = (target_house % 12) + 1
|
||
ben_before = [p for p in benefics if p in planets and _house_of(p) == prev_h]
|
||
ben_after = [p for p in benefics if p in planets and _house_of(p) == next_h]
|
||
if ben_before and ben_after:
|
||
house_names = {1: "命宫", 4: "田宅宫", 7: "夫妻宫", 10: "事业宫", 5: "子女宫", 9: "迁移宫"}
|
||
yogas.append({"name": "Subhakartari Yoga", "name_cn": f"吉星护{house_names.get(target_house, f'第{target_house}宫')}格局", "combination": f"第{target_house}宫被{'、'.join(ben_before)}和{'、'.join(ben_after)}吉星守护", "effects": [f"{house_names.get(target_house, f'第{target_house}宫')}领域受保护", "顺利发展", "贵人助力"], "strength": "吉"})
|
||
break
|
||
|
||
# ========================================================================
|
||
# 20. Saraswati Yoga（辩才天女格局）
|
||
# 来源：BPHS。木星/金星/水星在 2/4/7/9/10 宫，且木星在自身友好星座
|
||
# ========================================================================
|
||
saraswati_houses = [2, 4, 7, 9, 10]
|
||
saraswati_planets = [p for p in ['Jupiter', 'Venus', 'Mercury'] if p in planets and _house_of(p) in saraswati_houses]
|
||
if len(saraswati_planets) >= 3 or (len(saraswati_planets) >= 2 and 'Jupiter' in saraswati_planets):
|
||
jup_dignity = _get_dignity_level('Jupiter', _sign_of('Jupiter')) if 'Jupiter' in planets else ''
|
||
if jup_dignity in ['EXALTED', 'OWN_SIGN', 'MOOLATRIKONA', 'FRIEND']:
|
||
yogas.append({"name": "Saraswati Yoga", "name_cn": "辩才天女格局", "combination": f"{'、'.join(saraswati_planets)}在吉宫(2/4/7/9/10)+木星有力", "effects": ["学问渊博", "艺术才华", "表达卓越"], "strength": "强" if jup_dignity in ['EXALTED', 'OWN_SIGN'] else "中强"})
|
||
|
||
# ========================================================================
|
||
# 21. Hamsa Yoga（天鹅格局）—— 增强版 Mahapurusha
|
||
# 来源：BPHS。木星入旺/入庙在角宫(1/4/7/10)
|
||
# （注：基本版已包含在 Mahapurusha Yoga 中，这里增加三方宫扩展检测）
|
||
# ========================================================================
|
||
if 'Jupiter' in planets:
|
||
jup_h = _house_of('Jupiter')
|
||
if _is_trikona(jup_h) and (_is_exalted('Jupiter') or _is_own_sign('Jupiter')):
|
||
st = "入旺" if _is_exalted('Jupiter') else "入庙"
|
||
already_hamsa = any(y.get("name") == "Hamsa Yoga" for y in yogas)
|
||
if not already_hamsa:
|
||
yogas.append({"name": "Hamsa Yoga (Trikona)", "name_cn": f"木星{st}三方宫格局", "combination": f"木星{st}在{_sign_of('Jupiter')}(第{jup_h}宫，三方宫)", "effects": ["智慧卓越", "精神导师", "品德高尚"], "strength": "强"})
|
||
|
||
# ========================================================================
|
||
# 22. Chamara Yoga（拂尘格局）
|
||
# 来源：BPHS。上升主星在入旺/入庙 + 两个或以上吉星在角宫/三方宫
|
||
# ========================================================================
|
||
if asc_lord in planets and (_is_exalted(asc_lord) or _is_own_sign(asc_lord)):
|
||
ben_kt = [p for p in benefics if p in planets and _planet_in_kendra_or_trikona(p)]
|
||
if len(ben_kt) >= 2:
|
||
st = "入旺" if _is_exalted(asc_lord) else "入庙"
|
||
yogas.append({"name": "Chamara Yoga", "name_cn": "拂尘格局", "combination": f"上升主星{asc_lord}{st}+{'、'.join(ben_kt)}在角宫/三方宫", "effects": ["长寿健康", "受人尊敬", "智慧通达"], "strength": "强"})
|
||
|
||
# ========================================================================
|
||
# 23. Akhanda Samrajya Yoga（永恒帝王格局）
|
||
# 来源：BPHS。木星在 2/5/9/11 宫 + 2 宫主不在 6/8/12 宫 + 11 宫主在 11 宫
|
||
# 简化版：木星在 2/5/9/11 + 11 宫主在 11 宫或角宫
|
||
# ========================================================================
|
||
if 'Jupiter' in planets and _house_of('Jupiter') in [2, 5, 9, 11]:
|
||
lord_11 = _lord_of_house(11)
|
||
if lord_11 in planets:
|
||
l11h = _house_of(lord_11)
|
||
if l11h == 11 or _is_kendra(l11h):
|
||
yogas.append({"name": "Akhanda Samrajya Yoga", "name_cn": "永恒帝王格局", "combination": f"木星在{_house_of('Jupiter')}宫+11宫主{lord_11}在{l11h}宫", "effects": ["权力持久", "事业辉煌", "影响力广泛"], "strength": "强"})
|
||
|
||
# ========================================================================
|
||
# 24. Gurumauli Yoga / Maha Bhagya Yoga（大运格局）
|
||
# 来源：经典文献。木星在 9 宫或与 9 宫主同宫
|
||
# ========================================================================
|
||
if 'Jupiter' in planets:
|
||
jup_h = _house_of('Jupiter')
|
||
if jup_h == 9:
|
||
yogas.append({"name": "Gurumauli Yoga", "name_cn": "至上师格局", "combination": f"木星在9宫（命运宫）", "effects": ["命运眷顾", "精神导师指引", "福德深厚"], "strength": "强"})
|
||
elif lord_9 in planets and jup_h == _house_of(lord_9):
|
||
yogas.append({"name": "Gurumauli Yoga", "name_cn": "至上师关联格局", "combination": f"木星与9宫主{lord_9}同在第{jup_h}宫", "effects": ["命运眷顾", "贵人运强", "智慧通达"], "strength": "中强"})
|
||
|
||
# ========================================================================
|
||
# 25. Shakata Yoga（车格局——凶）
|
||
# 来源：BPHS。木星在 6/8/12 宫（从月亮算起），且月亮与木星不在 1/4/7/10 宫关系
|
||
# 简化版（从上升算）：木星落入 6/8/12 宫
|
||
# ========================================================================
|
||
if 'Jupiter' in planets and _house_of('Jupiter') in [6, 8, 12]:
|
||
yogas.append({"name": "Shakata Yoga", "name_cn": "车格局（凶）", "combination": f"木星落入第{_house_of('Jupiter')}宫（凶宫）", "effects": ["财富不稳", "健康需注意", "精神起伏"], "strength": "凶"})
|
||
|
||
# ========================================================================
|
||
# 26. Amarishta Yoga / Daridra Yoga（贫困格局——凶）
|
||
# 来源：BPHS。11 宫主落入 6/8/12 宫，或 2 宫主落陷且在凶宫
|
||
# ========================================================================
|
||
lord_11 = _lord_of_house(11)
|
||
if lord_11 in planets and _house_of(lord_11) in [6, 8, 12]:
|
||
yogas.append({"name": "Daridra Yoga", "name_cn": "贫困格局（凶）", "combination": f"11宫主{lord_11}落入第{_house_of(lord_11)}宫（凶宫）", "effects": ["财务困难", "需努力积累", "谨慎理财"], "strength": "凶"})
|
||
if lord_2 in planets and _is_debilitated(lord_2) and _is_dusthana(_house_of(lord_2)):
|
||
yogas.append({"name": "Daridra Yoga (variant)", "name_cn": "贫困格局变体（凶）", "combination": f"2宫主{lord_2}落陷在凶宫第{_house_of(lord_2)}宫", "effects": ["财务压力", "家庭纠纷", "需节俭持家"], "strength": "凶"})
|
||
|
||
# ========================================================================
|
||
# 27. Dhan Yoga 增强版 —— Grahi Dhan Yoga
|
||
# 来源：Phaladeepika。1 宫主 + 2 宫主 + 11 宫主同在 2/11 宫
|
||
# ========================================================================
|
||
lords_wealth = {1: SIGN_LORDS[SIGNS[(ai + 0) % 12]], 2: lord_2, 11: _lord_of_house(11)}
|
||
for wh in [2, 11]:
|
||
count = sum(1 for h_num, lp in lords_wealth.items() if lp in planets and _house_of(lp) == wh)
|
||
if count >= 2:
|
||
in_house = [f"{h_num}宫主{lp}" for h_num, lp in lords_wealth.items() if lp in planets and _house_of(lp) == wh]
|
||
yogas.append({"name": "Grahi Dhana Yoga", "name_cn": "星聚财富格局", "combination": f"{'、'.join(in_house)}同在第{wh}宫", "effects": ["财运亨通", "投资有利", "收入丰厚"], "strength": "强"})
|
||
break
|
||
|
||
return {"ascendant": asc, "planets_analyzed": len(planets), "kendra_lords": kl, "trikona_lords": tl, "yogas_detected": len(yogas), "yogas": yogas}
|
||
|
||
|
||
# ============================================================================
|
||
# 4. 三层验证法事件预测（v3.4增强：优先EventPredictionModel规则引擎）
|
||
# ============================================================================
|
||
def cmd_predict(args):
|
||
# 验前事模式（v3.5新增）
|
||
if getattr(args, 'past_verify', False) and args.year:
|
||
chart, asc_idx, jd, ayanamsa = compute_chart_data(
|
||
args.year, args.month, args.day, args.hour, args.minute,
|
||
args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if chart is None:
|
||
return {"error": "swisseph未安装"}
|
||
return _past_event_verify(chart, asc_idx, args)
|
||
|
||
chart = json.loads(args.chart) if args.chart else {}
|
||
evt = args.event_type or "all"
|
||
|
||
# 尝试加载 EventPredictionModel（替代LAM神经网络）
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from event_prediction_model import EventPredictionModel
|
||
# 直接传完整chart数据给EventPredictionModel（v5.0需要ascendant dict和planets dict）
|
||
# 同时从 full-reading 输出中提取所有模块数据传入（v5.1修复：之前丢失dasha/congregation等）
|
||
modules = chart.get("modules", {})
|
||
model = EventPredictionModel(
|
||
chart_data={
|
||
"ascendant": chart.get("ascendant", {}),
|
||
"planets": chart.get("planets", {}),
|
||
},
|
||
dasha_data=modules.get("dasha"),
|
||
congregation_data=modules.get("congregation"),
|
||
vivah_saham_data=modules.get("vivah_saham"),
|
||
chara_dasha_data=modules.get("jaimini", {}).get("chara_dasha"),
|
||
)
|
||
raw_preds = model.predict_all_events()
|
||
# 将 Prediction dataclass 转为可序列化 dict（v5.1补充缺失字段）
|
||
predictions = []
|
||
for p in raw_preds:
|
||
predictions.append({
|
||
"event_type": str(p.event_type.value) if hasattr(p.event_type, 'value') else str(p.event_type),
|
||
"description": p.description,
|
||
"probability": p.probability,
|
||
"risk_level": str(p.risk_level.value) if hasattr(p.risk_level, 'value') else str(p.risk_level),
|
||
"confidence": str(p.confidence.value) if hasattr(p.confidence, 'value') else str(p.confidence),
|
||
"timing": p.timing,
|
||
"key_factors": p.key_factors,
|
||
"recommendations": p.recommendations,
|
||
"dasha_signals": p.dasha_signals,
|
||
"transit_signals": p.transit_signals,
|
||
"timing_windows": p.timing_windows,
|
||
})
|
||
return {
|
||
"method": "三层验证法（EventPredictionModel规则引擎）",
|
||
"engine": "event_prediction_model.py",
|
||
"event_type": evt,
|
||
"predictions": predictions,
|
||
"note": "基于规则引擎的三层验证法，替代LAM神经网络（准确率从0.17%大幅提升）"
|
||
}
|
||
except Exception as e:
|
||
# 降级到简化版
|
||
result = {"method": "三层验证法（简化版）", "fallback_reason": str(e),
|
||
"event_type": evt, "predictions": []}
|
||
planets = chart.get("planets", {})
|
||
indicators_map = {
|
||
"marriage": {"houses": [7], "karaka": "Venus", "cn": "婚姻"},
|
||
"career": {"houses": [10, 6], "karaka": "Sun", "cn": "职业"},
|
||
"wealth": {"houses": [2, 11], "karaka": "Jupiter", "cn": "财富"},
|
||
"health": {"houses": [6, 8, 12], "karaka": "Saturn", "cn": "健康"},
|
||
}
|
||
for ek, ei in indicators_map.items():
|
||
if evt != "all" and evt != ek: continue
|
||
found = []
|
||
for hn in ei["houses"]:
|
||
for pn, pd in planets.items():
|
||
if isinstance(pd, dict) and pd.get("house") == hn:
|
||
found.append({"planet": pn, "house": hn, "sign": pd.get("sign", ""), "status": pd.get("status", "中性")})
|
||
if found:
|
||
result["predictions"].append({"event": ei["cn"], "key": ek, "static_indicators": found, "note": "需要结合Dasha和Transit进行精确预测"})
|
||
return result
|
||
|
||
|
||
# ============================================================================
|
||
# 验前事模式（v3.5新增，避免冷读效应）
|
||
# ============================================================================
|
||
def _past_event_verify(chart: Dict, asc_idx: int, args) -> Dict:
|
||
"""
|
||
验前事：从星盘数据推断 2-4 个高信号历史时段，供用户确认。
|
||
AI 先推断，用户后确认——避免冷读效应。
|
||
"""
|
||
planets = chart.get('planets', {})
|
||
asc_sign = chart.get('ascendant', {}).get('sign', 'Unknown')
|
||
birth_year = args.year
|
||
|
||
signals = []
|
||
|
||
# 1. 土星回归（约29.5年一次）
|
||
saturn_sign = planets.get('Saturn', {}).get('sign', '')
|
||
saturn_house = planets.get('Saturn', {}).get('house', 0)
|
||
# 土星绕黄道一圈约29.5年
|
||
for cycle_age in [29, 58]:
|
||
event_year = birth_year + cycle_age
|
||
signals.append({
|
||
'type': '土星回归',
|
||
'age': cycle_age,
|
||
'year': event_year,
|
||
'description': f'约{event_year}年（{cycle_age}岁），土星回归周期',
|
||
'confidence': '高',
|
||
'indicators': [f'土星在{saturn_sign}（第{saturn_house}宫）'],
|
||
})
|
||
|
||
# 2. 木星回归（约12年一次）
|
||
jupiter_sign = planets.get('Jupiter', {}).get('sign', '')
|
||
jupiter_house = planets.get('Jupiter', {}).get('house', 0)
|
||
for cycle_age in [12, 24, 36, 48]:
|
||
event_year = birth_year + cycle_age
|
||
signals.append({
|
||
'type': '木星回归',
|
||
'age': cycle_age,
|
||
'year': event_year,
|
||
'description': f'约{event_year}年（{cycle_age}岁），木星回归周期',
|
||
'confidence': '中高',
|
||
'indicators': [f'木星在{jupiter_sign}（第{jupiter_house}宫）'],
|
||
})
|
||
|
||
# 3. Rahu-Ketu 对冲过境（约18.6年半周期）
|
||
rahu_sign = planets.get('Rahu', {}).get('sign', '')
|
||
for half_cycle in [9, 18, 27, 36]:
|
||
event_year = birth_year + half_cycle
|
||
signals.append({
|
||
'type': 'Rahu-Ketu半周期',
|
||
'age': half_cycle,
|
||
'year': event_year,
|
||
'description': f'约{event_year}年（{half_cycle}岁），Rahu-Ketu对冲轴变化',
|
||
'confidence': '中',
|
||
'indicators': [f'本命Rahu在{rahu_sign}'],
|
||
})
|
||
|
||
# 4. 关键宫位激活（基于 Dasha 可能性）
|
||
# 7宫主星相关 → 婚姻/合作时间窗
|
||
libra_idx = SIGNS.index('Libra') if 'Libra' in SIGNS else 6
|
||
sign_7 = SIGNS[(asc_idx + 6) % 12]
|
||
lord_7 = SIGN_LORDS.get(sign_7, 'Unknown')
|
||
lord_7_info = planets.get(lord_7, {})
|
||
if lord_7_info:
|
||
signals.append({
|
||
'type': '7宫主星活跃期',
|
||
'age_range': '24-32',
|
||
'year_range': f'{birth_year + 24}-{birth_year + 32}',
|
||
'description': f'{lord_7}（7宫主星，7宫={sign_7}）活跃期，可能涉及婚姻/重要合作',
|
||
'confidence': '中',
|
||
'indicators': [f'{lord_7}在{lord_7_info.get("sign", "")}（第{lord_7_info.get("house", 0)}宫）'],
|
||
})
|
||
|
||
# 5. 10宫主星相关 → 事业突破
|
||
sign_10 = SIGNS[(asc_idx + 9) % 12]
|
||
lord_10 = SIGN_LORDS.get(sign_10, 'Unknown')
|
||
lord_10_info = planets.get(lord_10, {})
|
||
if lord_10_info:
|
||
signals.append({
|
||
'type': '10宫主星活跃期',
|
||
'age_range': '28-40',
|
||
'year_range': f'{birth_year + 28}-{birth_year + 40}',
|
||
'description': f'{lord_10}（10宫主星，10宫={sign_10}）活跃期，可能涉及事业突破',
|
||
'confidence': '中',
|
||
'indicators': [f'{lord_10}在{lord_10_info.get("sign", "")}（第{lord_10_info.get("house", 0)}宫）'],
|
||
})
|
||
|
||
# 按置信度排序，取前4
|
||
priority = {'高': 3, '中高': 2, '中': 1, '低': 0}
|
||
signals.sort(key=lambda s: priority.get(s.get('confidence', '低'), 0), reverse=True)
|
||
top_signals = signals[:4]
|
||
|
||
return {
|
||
'method': '验前事（Past Event Reverse Verification）',
|
||
'version': '3.5',
|
||
'note': 'AI从星盘推断的高信号历史时段，请用户确认——避免冷读效应',
|
||
'birth_year': birth_year,
|
||
'ascendant': asc_sign,
|
||
'inferred_periods': top_signals,
|
||
'disclaimer': '这些是基于星盘结构推断的可能时段，需要用户确认是否实际发生了相关事件。',
|
||
}
|
||
|
||
|
||
# ============================================================================
|
||
# 5. 分盘计算
|
||
# ============================================================================
|
||
def cmd_varga(args):
|
||
if not HAS_SWE: return {"error": "swisseph未安装"}
|
||
swe.set_ephe_path('')
|
||
hd = args.hour + args.minute / 60.0 - args.tz
|
||
jd = swe.julday(args.year, args.month, args.day, hd)
|
||
|
||
# Lahiri Ayanamsa（恒星黄道修正，与cmd_chart一致）
|
||
ayanamsa = swe.get_ayanamsa(jd)
|
||
|
||
natal = {}
|
||
for pn, pid in PLANETS_SWE.items():
|
||
pos, _ = swe.calc_ut(jd, pid); natal[pn] = (pos[0] - ayanamsa) % 360 # 恒星黄道
|
||
if 'Rahu' in natal: natal['Ketu'] = (natal['Rahu'] + 180) % 360
|
||
asc_lon, _ = swe.houses(jd, args.lat, args.lon, b'A'); asc_deg = (asc_lon[0] - ayanamsa) % 360 # 恒星黄道
|
||
|
||
def navamsa(lon):
|
||
si = int(lon / 30); d = lon - si * 30; ni = int(d / (30/9))
|
||
el_starts = {0: 0, 1: 9, 2: 6, 3: 3}; return SIGNS[(el_starts[si % 4] + ni) % 12]
|
||
|
||
def dasamsa(lon):
|
||
si = int(lon / 30); d = lon - si * 30; di = int(d / 3)
|
||
return SIGNS[di % 12] if si % 2 == 0 else SIGNS[(6 + di) % 12]
|
||
|
||
result = {"birth_info": f"{args.year}-{args.month:02d}-{args.day:02d} {args.hour:02d}:{args.minute:02d}", "divisional_charts": {}}
|
||
if args.d9 or args.all:
|
||
d9 = {"ascendant": navamsa(asc_deg)}
|
||
for p, l in natal.items(): d9[p] = {"sign": navamsa(l), "sign_cn": SIGNS_CN[navamsa(l)]}
|
||
result["divisional_charts"]["D9_Navamsa"] = d9
|
||
if args.d10 or args.all:
|
||
d10 = {"ascendant": dasamsa(asc_deg)}
|
||
for p, l in natal.items(): d10[p] = {"sign": dasamsa(l), "sign_cn": SIGNS_CN[dasamsa(l)]}
|
||
result["divisional_charts"]["D10_Dasamsa"] = d10
|
||
if not result["divisional_charts"]: result["note"] = "请指定 --d9, --d10 或 --all"
|
||
return result
|
||
|
||
|
||
# ============================================================================
|
||
# 6. 名人案例查询
|
||
# ============================================================================
|
||
def cmd_celebrity(args):
|
||
result = {"query": args.name or "all", "results": []}
|
||
if os.path.exists(DB_PATH):
|
||
try:
|
||
conn = sqlite3.connect(DB_PATH); c = conn.cursor()
|
||
if args.name: c.execute("SELECT * FROM cases WHERE name LIKE ?", (f'%{args.name}%',))
|
||
else: c.execute("SELECT * FROM cases LIMIT ?", (args.limit or 20,))
|
||
cols = [d[0] for d in c.description]
|
||
for r in c.fetchall(): result["results"].append(dict(zip(cols, r)))
|
||
conn.close()
|
||
except Exception as e: result["db_error"] = str(e)
|
||
|
||
if os.path.exists(PERSON_CSV) and args.name:
|
||
try:
|
||
matches = []
|
||
with open(PERSON_CSV, 'r', encoding='utf-8') as f:
|
||
for row in csv.DictReader(f):
|
||
if args.name.lower() in row.get('Name', '').lower():
|
||
matches.append({"name": row.get('Name', ''), "birth_time": row.get('BirthTime', ''), "gender": row.get('Gender', '')})
|
||
if len(matches) >= 10: break
|
||
result["person_list_matches"] = matches; result["person_list_total"] = 15807
|
||
except Exception as e: result["csv_error"] = str(e)
|
||
return result
|
||
|
||
|
||
# ============================================================================
|
||
# 7. 数据库统计
|
||
# ============================================================================
|
||
def cmd_db_stats(args):
|
||
result = {}
|
||
if os.path.exists(DB_PATH):
|
||
try:
|
||
conn = sqlite3.connect(DB_PATH); c = conn.cursor()
|
||
c.execute("SELECT COUNT(*) FROM cases"); result["total_cases"] = c.fetchone()[0]
|
||
c.execute("SELECT case_type, COUNT(*) FROM cases GROUP BY case_type"); result["by_type"] = dict(c.fetchall())
|
||
c.execute("SELECT difficulty, COUNT(*) FROM cases GROUP BY difficulty"); result["by_difficulty"] = dict(c.fetchall())
|
||
c.execute("SELECT name, accuracy_rate, sample_size, correct_predictions FROM techniques"); result["techniques"] = [{"name": r[0], "accuracy": r[1], "samples": r[2], "correct": r[3]} for r in c.fetchall()]
|
||
conn.close()
|
||
except Exception as e: result["error"] = str(e)
|
||
else:
|
||
result["error"] = f"数据库不存在: {DB_PATH}"
|
||
return result
|
||
|
||
|
||
# ============================================================================
|
||
# 8. 过境查询
|
||
# ============================================================================
|
||
def cmd_transit(args):
|
||
"""
|
||
实时 Transit 行星过境计算（v3.7.2 改用 Swiss Ephemeris）
|
||
不再依赖静态 JSON，直接用 swe 计算任意日期的行星位置。
|
||
支持指定日期范围（--year/--month）和目标行星（--planet）。
|
||
"""
|
||
if not HAS_SWE:
|
||
return {"error": "swisseph未安装，无法计算实时Transit"}
|
||
|
||
swe.set_ephe_path('')
|
||
|
||
# --- 参数解析 ---
|
||
t_year = args.year
|
||
t_month = args.month
|
||
# 可选：指定某日（默认取月中15号做代表）
|
||
t_day = getattr(args, 'day', 15) or 15
|
||
# 可选：指定目标行星（默认全部七曜+Rahu/Ketu）
|
||
target_planets_str = getattr(args, 'planet', None)
|
||
target_planets = [p.strip() for p in target_planets_str.split(',')] if target_planets_str else None
|
||
|
||
# --- 计算该月月中行星位置 ---
|
||
try:
|
||
hd = 12.0 - (getattr(args, 'tz', 8) or 8) # 默认UTC+8中午
|
||
jd_mid = swe.julday(t_year, t_month, t_day, hd)
|
||
except Exception as e:
|
||
return {"error": f"日期计算失败: {e}"}
|
||
|
||
ayanamsa = swe.get_ayanamsa(jd_mid)
|
||
|
||
# --- 计算行星位置 ---
|
||
node_mode = getattr(args, 'node_mode', 'mean')
|
||
transit_data, ayanamsa = _calc_sidereal_planets_for_jd(jd_mid, node_mode=node_mode, include_ketu=True)
|
||
if target_planets:
|
||
target_set = set(target_planets)
|
||
transit_data = {p: d for p, d in transit_data.items() if p in target_set}
|
||
|
||
# --- 计算行星间相位（互相在对方星座的宫位关系）---
|
||
aspects_found = []
|
||
planet_names = list(transit_data.keys())
|
||
for i, p1 in enumerate(planet_names):
|
||
for p2 in planet_names[i+1:]:
|
||
if p1 == 'Ketu' or p2 == 'Ketu':
|
||
continue
|
||
d1 = transit_data[p1]['degree']
|
||
d2 = transit_data[p2]['degree']
|
||
diff = abs(d1 - d2) % 360
|
||
if diff > 180:
|
||
diff = 360 - diff
|
||
# 合相（≤10°）
|
||
if diff <= 10:
|
||
aspects_found.append({
|
||
'type': 'conjunction',
|
||
'planets': [p1, p2],
|
||
'degree_diff': round(diff, 2),
|
||
'description': f'{p1}与{p2}合相（{diff:.1f}°）'
|
||
})
|
||
# 对冲（180°±8°）
|
||
elif 172 <= diff <= 188:
|
||
aspects_found.append({
|
||
'type': 'opposition',
|
||
'planets': [p1, p2],
|
||
'degree_diff': round(diff, 2),
|
||
'description': f'{p1}与{p2}对冲（{diff:.1f}°）'
|
||
})
|
||
# 三方（120°±6°）
|
||
elif 114 <= diff <= 126:
|
||
aspects_found.append({
|
||
'type': 'trine',
|
||
'planets': [p1, p2],
|
||
'degree_diff': round(diff, 2),
|
||
'description': f'{p1}与{p2}三方相位（{diff:.1f}°）'
|
||
})
|
||
# 四分（90°±6°）
|
||
elif 84 <= diff <= 96:
|
||
aspects_found.append({
|
||
'type': 'square',
|
||
'planets': [p1, p2],
|
||
'degree_diff': round(diff, 2),
|
||
'description': f'{p1}与{p2}四分相位（{diff:.1f}°）'
|
||
})
|
||
|
||
# --- 构建结果 ---
|
||
result = {
|
||
'method': 'Swiss Ephemeris 实时计算（v3.7.2）',
|
||
'target_date': f'{t_year}-{t_month:02d}-{t_day:02d}',
|
||
'ayanamsa': round(ayanamsa, 4),
|
||
'node_mode': node_mode,
|
||
'data_layer': 'true_transit_positions',
|
||
'planets': transit_data,
|
||
'aspects': aspects_found,
|
||
'note': f'使用Swiss Ephemeris实时计算{t_year}年{t_month}月行星过境位置，不再依赖静态JSON'
|
||
}
|
||
|
||
return result
|
||
|
||
|
||
# ============================================================================
|
||
# 8b. Double Transit PAC + D9 层（KN Rao 完整实现 v3.9新增）
|
||
#
|
||
# 核心逻辑:
|
||
# 1. D1 层: Saturn/Jupiter 通过 PAC 关联事件宫/宫主/LL/对宫主
|
||
# 2. D9 层: Saturn/Jupiter 通过 PAC 关联 D9 宫主/D9 Asc/宫主D9星座/LL D9星座
|
||
# 3. 两者必须同时激活同一目标 -> Double Transit 确认
|
||
#
|
||
# 精度: KN Rao 体系 110-115 星盘测试 97% 准确率（使用 D9 Navamsa）
|
||
# ============================================================================
|
||
def _navamsa_idx(lon):
|
||
"""Navamsa 星座索引"""
|
||
lon = lon % 360
|
||
si = int(lon / 30)
|
||
d = lon - si * 30
|
||
ni = int(d / (30 / 9))
|
||
el_starts = [0, 9, 6, 3] # Aries/Fire=0, Taurus/Earth=9, Gemini/Air=6, Cancer/Water=3
|
||
return (el_starts[si % 4] + ni) % 12
|
||
|
||
|
||
def _calc_planetary_congregation(planets: Dict, asc_idx: int) -> Dict:
|
||
"""
|
||
本命盘行星聚集检测（供 cmd_full_reading 调用）
|
||
检测 3+ 行星同宫的聚集效应，返回聚集宫位、行星列表、影响领域
|
||
"""
|
||
houses = {}
|
||
for pn, pd in planets.items():
|
||
if not isinstance(pd, dict) or 'sign' not in pd:
|
||
continue
|
||
if pn in ['Rahu', 'Ketu']:
|
||
continue # Rahu/Ketu 不计入聚集
|
||
si = SIGNS.index(pd['sign']) if pd['sign'] in SIGNS else 0
|
||
h = ((si - asc_idx) % 12) + 1
|
||
houses.setdefault(h, []).append(pn)
|
||
|
||
congregations = []
|
||
for h, plist in houses.items():
|
||
if len(plist) >= 3:
|
||
h_sign = SIGNS[(asc_idx + h - 1) % 12]
|
||
# 判断影响领域
|
||
impact = _house_theme(h)
|
||
# 判断聚集力量（有无吉星/凶星）
|
||
benefics = [p for p in plist if p in ['Jupiter', 'Venus', 'Mercury', 'Moon']]
|
||
malefics = [p for p in plist if p in ['Saturn', 'Mars', 'Sun', 'Rahu']]
|
||
strength = 'strong' if len(benefics) > len(malefics) else 'mixed'
|
||
if len(malefics) >= 3:
|
||
strength = 'malefic_heavy'
|
||
congregations.append({
|
||
'house': h,
|
||
'sign': h_sign,
|
||
'planets': plist,
|
||
'count': len(plist),
|
||
'benefics': benefics,
|
||
'malefics': malefics,
|
||
'strength': strength,
|
||
'impact': impact,
|
||
'description': f'{",".join(plist)} 聚集于{h}宫({h_sign})',
|
||
})
|
||
|
||
return {
|
||
'congregations': congregations,
|
||
'total': len(congregations),
|
||
'note': '3+ 行星同宫为显著聚集，影响该宫主题领域',
|
||
}
|
||
|
||
|
||
def _house_theme(house: int) -> List[str]:
|
||
"""返回宫位影响领域"""
|
||
themes = {
|
||
1: ['自我', '健康', '性格'],
|
||
2: ['财富', '家庭', '言语'],
|
||
3: ['沟通', '旅行', '兄弟'],
|
||
4: ['母亲', '房产', '情感'],
|
||
5: ['子女', '投资', '创意'],
|
||
6: ['疾病', '敌人', '债务'],
|
||
7: ['婚姻', '合作', '伴侣'],
|
||
8: ['转型', '意外', '遗产'],
|
||
9: ['命运', '父亲', '灵性'],
|
||
10: ['事业', '声望', '成就'],
|
||
11: ['收益', '社交', '愿望'],
|
||
12: ['损失', '外迁', '解脱'],
|
||
}
|
||
return themes.get(house, ['未知'])
|
||
|
||
|
||
def _calc_vivah_saham(planets: Dict, asc_deg: float) -> Dict:
|
||
"""
|
||
计算本命 Vivah Saham 婚姻敏感点（供 cmd_full_reading 调用）
|
||
公式: Saham = (Venus_lon - Saturn_lon + Asc_deg) % 360
|
||
"""
|
||
venus_lon = planets.get('Venus', {}).get('degree', 0)
|
||
saturn_lon = planets.get('Saturn', {}).get('degree', 0)
|
||
if venus_lon == 0 or saturn_lon == 0:
|
||
return {'error': '缺少金星或土星数据', 'saham': None}
|
||
|
||
sahams_lon = (venus_lon - saturn_lon + asc_deg) % 360
|
||
sahams_sign = SIGNS[int(sahams_lon / 30) % 12]
|
||
sahams_deg_in_sign = sahams_lon % 30
|
||
sahams_si = int(sahams_lon / 30) % 12
|
||
|
||
# 检查哪些本命行星与 Saham 同宫/合相
|
||
conjuncts = []
|
||
for pn, pd in planets.items():
|
||
if pn in ['Rahu', 'Ketu']:
|
||
continue
|
||
if not isinstance(pd, dict) or 'degree' not in pd:
|
||
continue
|
||
p_lon = pd['degree']
|
||
diff = abs(p_lon - sahams_lon) % 360
|
||
if diff > 180:
|
||
diff = 360 - diff
|
||
if diff <= 5:
|
||
conjuncts.append({'planet': pn, 'diff_deg': round(diff, 2)})
|
||
|
||
# 从 Saham 位置反推婚姻相关宫位
|
||
asc_si = int(asc_deg / 30) % 12
|
||
sahams_house = ((sahams_si - asc_si) % 12) + 1
|
||
|
||
return {
|
||
'saham_lon': round(sahams_lon, 4),
|
||
'saham_sign': sahams_sign,
|
||
'saham_deg_in_sign': round(sahams_deg_in_sign, 2),
|
||
'saham_house': sahams_house,
|
||
'formula': f'Venus({venus_lon:.2f}°) - Saturn({saturn_lon:.2f}°) + Asc({asc_deg:.2f}°)',
|
||
'natal_conjuncts': conjuncts,
|
||
'marriage_relevance': 'high' if sahams_house in [7, 1, 5, 9] else 'moderate',
|
||
'note': 'Vivah Saham 是度数级婚姻敏感点，Transit 木星/土星过境此点时触发婚姻事件窗',
|
||
}
|
||
|
||
|
||
def _check_pac(planet_name, planet_lon, target_lon, asc_idx):
|
||
"""PAC检查: Position(同宫)/Aspect(相位)/Conjunction(合相<=10度)"""
|
||
results = []
|
||
p_si = int((planet_lon % 360) / 30)
|
||
t_si = int((target_lon % 360) / 30)
|
||
p_house = ((p_si - asc_idx) % 12) + 1
|
||
t_house = ((t_si - asc_idx) % 12) + 1
|
||
|
||
# P: Position - 同宫
|
||
if p_house == t_house:
|
||
results.append({'type': 'Position', 'desc': f'同宫({t_house}宫)'})
|
||
|
||
# C: Conjunction - 合相 <=10度
|
||
diff = abs(planet_lon - target_lon) % 360
|
||
if diff > 180:
|
||
diff = 360 - diff
|
||
if diff <= 10:
|
||
results.append({'type': 'Conjunction', 'desc': f'合相({diff:.2f}\u00b0)'})
|
||
|
||
# A: Aspect - Graha Drishti
|
||
planet_aspects = {
|
||
'Sun': [7], 'Moon': [7], 'Mars': [4, 7, 8], 'Mercury': [7],
|
||
'Jupiter': [5, 7, 9], 'Venus': [7], 'Saturn': [3, 7, 10],
|
||
'Rahu': [5, 7, 9], 'Ketu': [5, 7, 9],
|
||
}
|
||
aspects = planet_aspects.get(planet_name, [7])
|
||
for offset in aspects:
|
||
if ((t_house - p_house + 12) % 12) == offset:
|
||
results.append({'type': 'Aspect', 'offset': offset, 'desc': f'{offset}宫相位'})
|
||
|
||
return results
|
||
|
||
|
||
def cmd_double_transit_pac(args):
|
||
"""Double Transit PAC + D9 层计算"""
|
||
# 1. 计算本命星盘
|
||
chart, asc_idx, jd, ayanamsa = compute_chart_data(
|
||
args.year, args.month, args.day, args.hour, args.minute,
|
||
args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if chart is None:
|
||
return {"error": "swisseph未安装"}
|
||
|
||
natal = chart.get('planets', {})
|
||
asc_sign = chart.get('ascendant', {}).get('sign', 'Aries')
|
||
asc_deg = chart.get('ascendant', {}).get('degree', 0)
|
||
event_house = args.house or 7
|
||
|
||
# 2. 计算过境行星位置
|
||
if not HAS_SWE:
|
||
return {"error": "swisseph未安装"}
|
||
|
||
transit_year, transit_month, transit_day = map(int, args.date.split('-'))
|
||
transit_hour = 12.0 - args.tz # 正午 UT
|
||
transit_jd = swe.julday(transit_year, transit_month, transit_day, transit_hour)
|
||
transit_ayanamsa = swe.get_ayanamsa(transit_jd)
|
||
|
||
transit_planets = {}
|
||
for pname, pid in PLANETS_SWE.items():
|
||
try:
|
||
pos, _ = swe.calc_ut(transit_jd, pid)
|
||
lon_p = (pos[0] - transit_ayanamsa) % 360
|
||
transit_planets[pname] = {'lon': lon_p, 'sign': SIGNS[int(lon_p / 30)]}
|
||
if pname == 'Rahu':
|
||
klon = (lon_p + 180) % 360
|
||
transit_planets['Ketu'] = {'lon': klon, 'sign': SIGNS[int(klon / 30)]}
|
||
except Exception as e:
|
||
transit_planets[pname] = {'error': str(e)}
|
||
|
||
# 3. D1 层敏感点
|
||
event_si = (asc_idx + event_house - 1) % 12
|
||
event_sign = SIGNS[event_si]
|
||
event_lord = SIGN_LORDS[event_sign]
|
||
ll_name = SIGN_LORDS[asc_sign]
|
||
opposite_si = (asc_idx + 6) % 12
|
||
opposite_lord = SIGN_LORDS[SIGNS[opposite_si]]
|
||
|
||
event_house_lon = (event_si * 30) + 15 # 宫位中点
|
||
ll_lon = natal.get(ll_name, {}).get('degree', 0)
|
||
event_lord_lon = natal.get(event_lord, {}).get('degree', 0)
|
||
opp_lord_lon = natal.get(opposite_lord, {}).get('degree', 0)
|
||
|
||
d1_targets = {
|
||
f'{event_house}宫({event_sign})': event_house_lon,
|
||
f'{event_lord}(宫主)': event_lord_lon,
|
||
f'{ll_name}(LL)': ll_lon,
|
||
f'{opposite_lord}(对宫主)': opp_lord_lon,
|
||
}
|
||
|
||
# 4. D9 层敏感点
|
||
d9_asc_idx = _navamsa_idx(asc_deg)
|
||
d9_asc_sign = SIGNS[d9_asc_idx]
|
||
d9_event_si = (d9_asc_idx + event_house - 1) % 12
|
||
d9_event_sign = SIGNS[d9_event_si]
|
||
d9_event_lord = SIGN_LORDS[d9_event_sign]
|
||
# 宫主的 D9 星座（KN Rao 关键）
|
||
event_lord_d9_si = _navamsa_idx(event_lord_lon)
|
||
event_lord_d9_sign = SIGNS[event_lord_d9_si]
|
||
ll_d9_si = _navamsa_idx(ll_lon)
|
||
ll_d9_sign = SIGNS[ll_d9_si]
|
||
|
||
d9_event_house_lon = (d9_asc_idx * 30) + 15
|
||
d9_event_lord_lon = natal.get(d9_event_lord, {}).get('degree', 0)
|
||
|
||
d9_targets = {
|
||
f'D9_{event_house}宫({d9_event_sign})': d9_event_house_lon,
|
||
f'D9_{d9_event_lord}(宫主)': d9_event_lord_lon,
|
||
f'{event_lord}_D9({event_lord_d9_sign})': event_lord_d9_si * 30 + 15,
|
||
f'{ll_name}_D9({ll_d9_sign})': ll_d9_si * 30 + 15,
|
||
}
|
||
|
||
# 5. PAC 检查
|
||
results = {
|
||
'transit_date': args.date,
|
||
'event_house': event_house,
|
||
'd1': {'jupiter': {}, 'saturn': {}},
|
||
'd9': {'jupiter': {}, 'saturn': {}},
|
||
'cl': {'jupiter': {}, 'saturn': {}},
|
||
'double_transit': [],
|
||
'summary': '',
|
||
}
|
||
|
||
# Chandra Lagna 层敏感点
|
||
moon_lon = natal.get('Moon', {}).get('degree', 0)
|
||
moon_idx = int((moon_lon % 360) / 30)
|
||
cl_event_sign = SIGNS[(moon_idx + event_house - 1) % 12]
|
||
cl_event_lord = SIGN_LORDS[cl_event_sign]
|
||
cl_event_house_lon = ((moon_idx + event_house - 1) % 12) * 30 + 15
|
||
cl_event_lord_lon = natal.get(cl_event_lord, {}).get('degree', 0)
|
||
cl_targets = {
|
||
f'CL_{event_house}宫({cl_event_sign})': cl_event_house_lon,
|
||
f'CL_{cl_event_lord}(宫主)': cl_event_lord_lon,
|
||
}
|
||
|
||
for tp_name in ['Jupiter', 'Saturn']:
|
||
tp = transit_planets.get(tp_name, {})
|
||
if 'error' in tp:
|
||
continue
|
||
tp_lon = tp['lon']
|
||
layer = tp_name.lower()
|
||
|
||
for t_name, t_lon in d1_targets.items():
|
||
pac = _check_pac(tp_name, tp_lon, t_lon, asc_idx)
|
||
if pac:
|
||
results['d1'][layer][t_name] = pac
|
||
|
||
for t_name, t_lon in d9_targets.items():
|
||
pac = _check_pac(tp_name, tp_lon, t_lon, d9_asc_idx)
|
||
if pac:
|
||
results['d9'][layer][t_name] = pac
|
||
|
||
for t_name, t_lon in cl_targets.items():
|
||
pac = _check_pac(tp_name, tp_lon, t_lon, moon_idx)
|
||
if pac:
|
||
results['cl'][layer][t_name] = pac
|
||
|
||
# 6. Double Transit 判定
|
||
jup_d1 = set(results['d1']['jupiter'].keys())
|
||
sat_d1 = set(results['d1']['saturn'].keys())
|
||
jup_d9 = set(results['d9']['jupiter'].keys())
|
||
sat_d9 = set(results['d9']['saturn'].keys())
|
||
jup_cl = set(results['cl']['jupiter'].keys())
|
||
sat_cl = set(results['cl']['saturn'].keys())
|
||
|
||
# D1 层 overlap
|
||
d1_overlap = jup_d1 & sat_d1
|
||
for t in d1_overlap:
|
||
results['double_transit'].append({
|
||
'layer': 'D1', 'target': t,
|
||
'jupiter_pac': results['d1']['jupiter'][t],
|
||
'saturn_pac': results['d1']['saturn'][t],
|
||
'strength': 'strong',
|
||
})
|
||
|
||
# D9 层 overlap
|
||
d9_overlap = jup_d9 & sat_d9
|
||
for t in d9_overlap:
|
||
results['double_transit'].append({
|
||
'layer': 'D9', 'target': t,
|
||
'jupiter_pac': results['d9']['jupiter'][t],
|
||
'saturn_pac': results['d9']['saturn'][t],
|
||
'strength': 'strong',
|
||
})
|
||
|
||
# Chandra Lagna 层 overlap
|
||
cl_overlap = jup_cl & sat_cl
|
||
for t in cl_overlap:
|
||
results['double_transit'].append({
|
||
'layer': 'CL', 'target': t,
|
||
'jupiter_pac': results['cl']['jupiter'][t],
|
||
'saturn_pac': results['cl']['saturn'][t],
|
||
'strength': 'strong',
|
||
})
|
||
|
||
# 跨层 Double Transit
|
||
for d1t in jup_d1:
|
||
for d9t in sat_d9:
|
||
d1_nums = ''.join(c for c in d1t if c.isdigit())
|
||
d9_nums = ''.join(c for c in d9t if c.isdigit())
|
||
if d1_nums == d9_nums or (event_lord in d1t and event_lord in d9t):
|
||
results['double_transit'].append({
|
||
'layer': 'D1+D9', 'target': f'Jupiter(D1){d1t} + Saturn(D9){d9t}',
|
||
'jupiter_pac': results['d1']['jupiter'][d1t],
|
||
'saturn_pac': results['d9']['saturn'][d9t],
|
||
'strength': 'moderate',
|
||
})
|
||
for d1t in sat_d1:
|
||
for d9t in jup_d9:
|
||
d1_nums = ''.join(c for c in d1t if c.isdigit())
|
||
d9_nums = ''.join(c for c in d9t if c.isdigit())
|
||
if d1_nums == d9_nums or (event_lord in d1t and event_lord in d9t):
|
||
results['double_transit'].append({
|
||
'layer': 'D1+D9', 'target': f'Saturn(D1){d1t} + Jupiter(D9){d9t}',
|
||
'jupiter_pac': results['d9']['jupiter'][d9t],
|
||
'saturn_pac': results['d1']['saturn'][d1t],
|
||
'strength': 'moderate',
|
||
})
|
||
|
||
# Summary
|
||
d1_active = len(d1_overlap) > 0
|
||
d9_active = len(d9_overlap) > 0
|
||
cl_active = len(cl_overlap) > 0
|
||
cross_active = any(d['layer'] == 'D1+D9' for d in results['double_transit'])
|
||
|
||
active_layers = []
|
||
if d1_active: active_layers.append('D1')
|
||
if d9_active: active_layers.append('D9')
|
||
if cl_active: active_layers.append('CL')
|
||
|
||
if len(active_layers) >= 2:
|
||
results['summary'] = f'✅ Double Transit PAC 确认: {"+".join(active_layers)} 多层激活{event_house}宫主题'
|
||
elif d1_active:
|
||
results['summary'] = f'⚠️ D1 层 Double Transit 激活，D9/CL 层未确认'
|
||
elif d9_active:
|
||
results['summary'] = f'⚠️ D9 层 Double Transit 激活，D1/CL 层未确认'
|
||
elif cl_active:
|
||
results['summary'] = f'⚠️ Chandra Lagna 层 Double Transit 激活，D1/D9 未确认'
|
||
elif cross_active:
|
||
results['summary'] = f'⚠️ 跨层间接 Double Transit (D1+D9)，需结合 Dasha 确认'
|
||
else:
|
||
results['summary'] = f'❌ 无 Double Transit PAC 激活'
|
||
|
||
results['stats'] = {
|
||
'd1_jupiter_targets': sorted(jup_d1),
|
||
'd1_saturn_targets': sorted(sat_d1),
|
||
'd9_jupiter_targets': sorted(jup_d9),
|
||
'd9_saturn_targets': sorted(sat_d9),
|
||
'cl_jupiter_targets': sorted(jup_cl),
|
||
'cl_saturn_targets': sorted(sat_cl),
|
||
'd1_overlap': sorted(d1_overlap),
|
||
'd9_overlap': sorted(d9_overlap),
|
||
'cl_overlap': sorted(cl_overlap),
|
||
'd9_ascendant': d9_asc_sign,
|
||
'event_lord_d9_sign': event_lord_d9_sign,
|
||
'chandra_lagna': SIGNS[moon_idx],
|
||
}
|
||
|
||
return results
|
||
|
||
|
||
# ============================================================================
|
||
# 8c. Transit LL/7L 连接 + 互换（Parivartana）（v3.9新增）
|
||
#
|
||
# P5: Transit LL PAC natal 7L / Transit 7L PAC natal LL (98%命中率)
|
||
# P8: Transit LL 过 7H 或 Transit 7L 过 Lagna (59%命中率)
|
||
# + Parivartana 互换检测
|
||
# ============================================================================
|
||
def _calc_transit_lon(jd, planet_name):
|
||
"""计算指定 Julian Day 的行星恒星黄经"""
|
||
pid_map = {'Sun': swe.SUN, 'Moon': swe.MOON, 'Mars': swe.MARS, 'Mercury': swe.MERCURY,
|
||
'Jupiter': swe.JUPITER, 'Venus': swe.VENUS, 'Saturn': swe.SATURN, 'Rahu': swe.MEAN_NODE}
|
||
pid = pid_map.get(planet_name)
|
||
if pid is None:
|
||
return None
|
||
pos, _ = swe.calc_ut(jd, pid)
|
||
aya = swe.get_ayanamsa_ut(jd)
|
||
return (pos[0] - aya) % 360
|
||
|
||
|
||
def cmd_transit_ll7l(args):
|
||
"""Transit LL/7L 连接 + 互换检测"""
|
||
chart, asc_idx, jd, ayanamsa = compute_chart_data(
|
||
args.year, args.month, args.day, args.hour, args.minute,
|
||
args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if chart is None:
|
||
return {"error": "swisseph未安装"}
|
||
|
||
natal = chart.get('planets', {})
|
||
asc_sign = chart.get('ascendant', {}).get('sign', 'Aries')
|
||
asc_deg = chart.get('ascendant', {}).get('degree', 0)
|
||
|
||
ll_name = SIGN_LORDS[asc_sign]
|
||
seven_sign = SIGNS[(SIGNS.index(asc_sign) + 6) % 12]
|
||
seven_lord = SIGN_LORDS[seven_sign]
|
||
|
||
# Transit 日期
|
||
t_year, t_month, t_day = map(int, args.date.split('-'))
|
||
transit_jd = swe.julday(t_year, t_month, t_day, 12.0 - args.tz)
|
||
|
||
# Transit LL/7L 位置
|
||
t_ll_lon = _calc_transit_lon(transit_jd, ll_name)
|
||
t_7l_lon = _calc_transit_lon(transit_jd, seven_lord)
|
||
if t_ll_lon is None or t_7l_lon is None:
|
||
return {"error": f"无法计算 Transit 位置: LL={ll_name}, 7L={seven_lord}"}
|
||
|
||
n_ll_lon = natal.get(ll_name, {}).get('degree', 0)
|
||
n_7l_lon = natal.get(seven_lord, {}).get('degree', 0)
|
||
asc_lon = asc_deg
|
||
|
||
result = {
|
||
'transit_date': args.date,
|
||
'lagna_lord': ll_name,
|
||
'seventh_lord': seven_lord,
|
||
'p5': {'hit': False, 'details': []},
|
||
'p8': {'hit': False, 'details': []},
|
||
'parivartana': {'hit': False, 'details': []},
|
||
}
|
||
|
||
# P5: Transit LL PAC natal 7L / Transit 7L PAC natal LL
|
||
pac1 = _check_pac(ll_name, t_ll_lon, n_7l_lon, asc_idx)
|
||
if pac1:
|
||
result['p5']['hit'] = True
|
||
result['p5']['details'].append({
|
||
'direction': f'Transit {ll_name} → natal {seven_lord}',
|
||
'connections': pac1,
|
||
})
|
||
pac2 = _check_pac(seven_lord, t_7l_lon, n_ll_lon, asc_idx)
|
||
if pac2:
|
||
result['p5']['hit'] = True
|
||
result['p5']['details'].append({
|
||
'direction': f'Transit {seven_lord} → natal {ll_name}',
|
||
'connections': pac2,
|
||
})
|
||
|
||
# P8: Transit LL 过 7H 或 Transit 7L 过 Lagna
|
||
t_ll_house = ((int((t_ll_lon % 360) / 30) - asc_idx) % 12) + 1
|
||
t_7l_house = ((int((t_7l_lon % 360) / 30) - asc_idx) % 12) + 1
|
||
if t_ll_house == 7:
|
||
result['p8']['hit'] = True
|
||
result['p8']['details'].append(f'Transit {ll_name}({SIGNS[int(t_ll_lon/30)]})在7H')
|
||
if t_7l_house == 1:
|
||
result['p8']['hit'] = True
|
||
result['p8']['details'].append(f'Transit {seven_lord}({SIGNS[int(t_7l_lon/30)]})在Lagna')
|
||
|
||
# Parivartana 互换
|
||
n_ll_sign = SIGNS[int((n_ll_lon % 360) / 30)]
|
||
n_7l_sign = SIGNS[int((n_7l_lon % 360) / 30)]
|
||
t_ll_in_7l = SIGNS[int((t_ll_lon % 360) / 30)] == n_7l_sign
|
||
t_7l_in_ll = SIGNS[int((t_7l_lon % 360) / 30)] == n_ll_sign
|
||
if t_ll_in_7l and t_7l_in_ll:
|
||
result['parivartana']['hit'] = True
|
||
result['parivartana']['details'].append(
|
||
f'完整互换: Transit {ll_name}在{n_7l_sign}(natal {seven_lord}) + Transit {seven_lord}在{n_ll_sign}(natal {ll_name})')
|
||
elif t_ll_in_7l:
|
||
result['parivartana']['details'].append(f'部分: Transit {ll_name}在{n_7l_sign}')
|
||
elif t_7l_in_ll:
|
||
result['parivartana']['details'].append(f'部分: Transit {seven_lord}在{n_ll_sign}')
|
||
|
||
return result
|
||
|
||
|
||
# ============================================================================
|
||
# 8d. 行星聚集检测（Lagna/7H + Transit 聚集）（v3.9新增）
|
||
# ============================================================================
|
||
def cmd_planetary_congregation(args):
|
||
"""行星聚集检测"""
|
||
chart, asc_idx, jd, ayanamsa = compute_chart_data(
|
||
args.year, args.month, args.day, args.hour, args.minute,
|
||
args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if chart is None:
|
||
return {"error": "swisseph未安装"}
|
||
|
||
natal = chart.get('planets', {})
|
||
asc_sign = chart.get('ascendant', {}).get('sign', 'Aries')
|
||
event_house = args.house or 7
|
||
|
||
result = {
|
||
'natal': {'lagna': [], 'house_7': [], f'house_{event_house}': []},
|
||
'transit': None,
|
||
'summary': '',
|
||
}
|
||
|
||
# 本命盘聚集
|
||
for pname, pdata in natal.items():
|
||
if 'error' in pdata or 'sign' not in pdata:
|
||
continue
|
||
p_si = SIGNS.index(pdata['sign'])
|
||
house = ((p_si - asc_idx) % 12) + 1
|
||
if house == 1:
|
||
result['natal']['lagna'].append(pname)
|
||
if house == 7:
|
||
result['natal']['house_7'].append(pname)
|
||
if house == event_house:
|
||
result['natal'][f'house_{event_house}'].append(pname)
|
||
|
||
# Transit 聚集
|
||
if args.transit_date:
|
||
t_year, t_month, t_day = map(int, args.transit_date.split('-'))
|
||
transit_jd = swe.julday(t_year, t_month, t_day, 12.0 - args.tz)
|
||
transit_aya = swe.get_ayanamsa(transit_jd)
|
||
result['transit'] = {str(h): [] for h in range(1, 13)}
|
||
for pname, pid in PLANETS_SWE.items():
|
||
try:
|
||
pos, _ = swe.calc_ut(transit_jd, pid)
|
||
lon_p = (pos[0] - transit_aya) % 360
|
||
si = int(lon_p / 30)
|
||
house = ((si - asc_idx) % 12) + 1
|
||
result['transit'][str(house)].append(pname)
|
||
if pname == 'Rahu':
|
||
klon = (lon_p + 180) % 360
|
||
ksi = int(klon / 30)
|
||
khouse = ((ksi - asc_idx) % 12) + 1
|
||
result['transit'][str(khouse)].append('Ketu')
|
||
except Exception:
|
||
pass
|
||
|
||
# 判定
|
||
flags = []
|
||
lagna_count = len(result['natal']['lagna'])
|
||
h7_count = len(result['natal']['house_7'])
|
||
if 'Sun' in result['natal']['lagna'] or lagna_count >= 3:
|
||
flags.append(f"Lagna聚集: {','.join(result['natal']['lagna'])}({lagna_count})")
|
||
if 'Sun' in result['natal']['house_7'] or h7_count >= 3:
|
||
flags.append(f"7H聚集: {','.join(result['natal']['house_7'])}({h7_count})")
|
||
|
||
if result['transit']:
|
||
slow = {'Saturn', 'Jupiter', 'Rahu', 'Ketu'}
|
||
t_event = result['transit'].get(str(event_house), [])
|
||
t_slow = [p for p in t_event if p in slow]
|
||
if len(t_slow) >= 2:
|
||
flags.append(f"Transit {event_house}宫慢行星聚集: {','.join(t_slow)}")
|
||
|
||
result['flags'] = flags
|
||
result['hit'] = len(flags) > 0
|
||
result['summary'] = ' | '.join(flags) if flags else '无显著聚集'
|
||
return result
|
||
|
||
|
||
# ============================================================================
|
||
# 8e. Vivah Saham + 婚姻计时管线（v3.9新增）
|
||
#
|
||
# Vivah Saham = norm(Venus - Saturn + Asc) — 度数级精确计算
|
||
# Transit 激活: Jupiter/Saturn PAC 到 Vivah Saham
|
||
# ============================================================================
|
||
def cmd_vivah_saham(args):
|
||
"""Vivah Saham 计算 + Transit 激活"""
|
||
chart, asc_idx, jd, ayanamsa = compute_chart_data(
|
||
args.year, args.month, args.day, args.hour, args.minute,
|
||
args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if chart is None:
|
||
return {"error": "swisseph未安装"}
|
||
|
||
natal = chart.get('planets', {})
|
||
asc_deg = chart.get('ascendant', {}).get('degree', 0)
|
||
venus_lon = natal.get('Venus', {}).get('degree', 0)
|
||
saturn_lon = natal.get('Saturn', {}).get('degree', 0)
|
||
|
||
# Vivah Saham = norm(Venus - Saturn + Asc)
|
||
sahams_lon = (venus_lon - saturn_lon + asc_deg) % 360
|
||
sahams_si = int(sahams_lon / 30)
|
||
sahams_sign = SIGNS[sahams_si]
|
||
sahams_deg = sahams_lon - sahams_si * 30
|
||
|
||
result = {
|
||
'vivah_saham': {
|
||
'longitude': round(sahams_lon, 4),
|
||
'sign': sahams_sign,
|
||
'sign_cn': SIGNS_CN[sahams_sign],
|
||
'degree_in_sign': round(sahams_deg, 4),
|
||
},
|
||
'formula': f'norm({venus_lon:.2f} Venus - {saturn_lon:.2f} Saturn + {asc_deg:.2f} Asc)',
|
||
'transit_activation': None,
|
||
}
|
||
|
||
# Transit 激活
|
||
if args.transit_date:
|
||
t_year, t_month, t_day = map(int, args.transit_date.split('-'))
|
||
transit_jd = swe.julday(t_year, t_month, t_day, 12.0 - args.tz)
|
||
|
||
result['transit_activation'] = {'jupiter': [], 'saturn': [], 'double_activation': False}
|
||
|
||
jup_lon = _calc_transit_lon(transit_jd, 'Jupiter')
|
||
sat_lon = _calc_transit_lon(transit_jd, 'Saturn')
|
||
|
||
if jup_lon is not None:
|
||
jup_pac = _check_pac('Jupiter', jup_lon, sahams_lon, asc_idx)
|
||
if jup_pac:
|
||
result['transit_activation']['jupiter'] = jup_pac
|
||
|
||
if sat_lon is not None:
|
||
sat_pac = _check_pac('Saturn', sat_lon, sahams_lon, asc_idx)
|
||
if sat_pac:
|
||
result['transit_activation']['saturn'] = sat_pac
|
||
|
||
if result['transit_activation']['jupiter'] and result['transit_activation']['saturn']:
|
||
result['transit_activation']['double_activation'] = True
|
||
|
||
# Venus transit 过 Saham 星座
|
||
venus_t = _calc_transit_lon(transit_jd, 'Venus')
|
||
if venus_t is not None:
|
||
if SIGNS[int(venus_t / 30)] == sahams_sign:
|
||
result['transit_activation']['venus_in_saham_sign'] = True
|
||
|
||
return result
|
||
|
||
|
||
# ============================================================================
|
||
# 9. Shadbala 六重力量（v3.4新增）
|
||
# ============================================================================
|
||
def cmd_shadbala(args):
|
||
chart, asc_idx, jd, ayanamsa = compute_chart_data(
|
||
args.year, args.month, args.day, args.hour, args.minute,
|
||
args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if chart is None:
|
||
return {"error": "swisseph未安装"}
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from shadbala import calc_shadbala
|
||
except ImportError as e:
|
||
return {"error": f"shadbala模块导入失败: {e}"}
|
||
planets = chart.get("planets", {})
|
||
asc_sign = chart.get("ascendant", {}).get("sign", "Aries")
|
||
birth_hour = args.hour + args.minute / 60.0
|
||
sun_lon = planets.get("Sun", {}).get("degree", 0)
|
||
moon_lon = planets.get("Moon", {}).get("degree", 0)
|
||
return calc_shadbala(planets, asc_sign, birth_hour, sun_lon, moon_lon)
|
||
|
||
|
||
# ============================================================================
|
||
# 10. Ashtakavarga 八分法（v3.4新增）
|
||
# ============================================================================
|
||
def cmd_ashtakavarga(args):
|
||
chart, asc_idx, jd, ayanamsa = compute_chart_data(
|
||
args.year, args.month, args.day, args.hour, args.minute,
|
||
args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if chart is None:
|
||
return {"error": "swisseph未安装"}
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from ashtakavarga import calc_ashtakavarga
|
||
except ImportError as e:
|
||
return {"error": f"ashtakavarga模块导入失败: {e}"}
|
||
planets = chart.get("planets", {})
|
||
return calc_ashtakavarga(planets, asc_idx)
|
||
|
||
|
||
# ============================================================================
|
||
# 11. Hermes 记忆系统（v3.4新增）
|
||
# ============================================================================
|
||
def cmd_memory(args):
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from hermes_memory_core import HermesMemoryCore
|
||
except ImportError as e:
|
||
return {"error": f"Hermes记忆模块导入失败: {e}", "hint": "确保hermes_memory_core.py在scripts/目录下"}
|
||
db_file = os.path.join(SCRIPT_DIR, 'hermes_memory.db')
|
||
mem = HermesMemoryCore(db_file)
|
||
result = {"action": args.action}
|
||
if args.action == "store":
|
||
if not args.content:
|
||
return {"error": "store操作需要 --content 参数"}
|
||
tags = args.tags.split(',') if args.tags else []
|
||
importance = args.importance if args.importance else 5
|
||
metadata = {"tags": tags, "importance": importance}
|
||
mem_id = mem.store_memory(args.content, metadata)
|
||
result.update({"stored": True, "memory_id": mem_id, "content": args.content, "tags": tags})
|
||
elif args.action == "search":
|
||
if not args.query:
|
||
return {"error": "search操作需要 --query 参数"}
|
||
results = mem.search(args.query, limit=args.limit or 10)
|
||
result.update({"query": args.query, "found": len(results), "results": results})
|
||
elif args.action == "context":
|
||
session_id = f"jyotish-cli-{datetime.now().strftime('%Y%m%d%H%M%S')}"
|
||
ctx = mem.get_context_for_session(session_id)
|
||
result.update({"session_id": session_id, "context": ctx})
|
||
elif args.action == "stats":
|
||
# Hermes没有get_stats，用搜索空串获取总数
|
||
try:
|
||
all_mem = mem.search("", limit=1000)
|
||
result["total_memories"] = len(all_mem)
|
||
except:
|
||
result["total_memories"] = "unknown"
|
||
result["db_path"] = db_file
|
||
else:
|
||
result["error"] = f"未知action: {args.action}，支持: store/search/context/stats"
|
||
return result
|
||
|
||
|
||
# ============================================================================
|
||
# 12. R1-R10 数学验证（v3.5新增）
|
||
# ============================================================================
|
||
def cmd_validate(args):
|
||
chart, asc_idx, jd, ayanamsa = compute_chart_data(
|
||
args.year, args.month, args.day, args.hour, args.minute,
|
||
args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if chart is None:
|
||
return {"error": "swisseph未安装"}
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from ashtakavarga import calc_ashtakavarga
|
||
asht_result = calc_ashtakavarga(chart.get('planets', {}), asc_idx)
|
||
except ImportError:
|
||
asht_result = None
|
||
try:
|
||
from validate import validate_chart
|
||
return validate_chart(chart, asht_result)
|
||
except ImportError as e:
|
||
return {"error": f"validate模块导入失败: {e}"}
|
||
|
||
|
||
# ============================================================================
|
||
# 13. P1-P12 行星审计管线（v3.5新增）
|
||
# ============================================================================
|
||
def _assess_conjunction_quality(lord, houses, planets):
|
||
"""评估仓库耦合的吉凶质量"""
|
||
lord_info = planets.get(lord, {})
|
||
lord_status = lord_info.get('status', '中性')
|
||
# 凶宫组合
|
||
dusthana = {6, 8, 12}
|
||
trikona = {1, 5, 9}
|
||
kendra = {1, 4, 7, 10}
|
||
|
||
has_dusthana = any(h in dusthana for h in houses)
|
||
has_trikona = any(h in trikona for h in houses)
|
||
has_kendra = any(h in kendra for h in houses)
|
||
|
||
if has_dusthana and has_trikona:
|
||
return f"凶吉混合 — 挑战与成长并存"
|
||
elif has_dusthana and has_kendra:
|
||
return f"压力型 — 通过努力获取成就"
|
||
elif has_trikona:
|
||
return f"吉庆型 — 自然流畅的支持"
|
||
elif has_dusthana:
|
||
return f"消耗型 — 需要额外努力维持"
|
||
else:
|
||
return f"中性 — 标准互动"
|
||
|
||
def _conflict_arbitration(report):
|
||
"""
|
||
冲突仲裁规则（CNWU16框架）：
|
||
1. P1清理者+P7入旺 = "带毒高价值资产"，禁止说逢凶化吉
|
||
2. P5凶宫+BAV高 = "乱世出英雄"
|
||
3. P1吉+P2受损 = "空有雄心无着力点"
|
||
"""
|
||
conflicts = []
|
||
planets = report.get('planets', {})
|
||
audit = report.get('audit', {})
|
||
|
||
p1 = audit.get('P1_identity', {})
|
||
p7 = audit.get('P7_dignity', {})
|
||
p2 = audit.get('P2_health', {})
|
||
|
||
asc_lord = p1.get('asc_lord', '')
|
||
|
||
# 规则1: P1清理者+P7入旺 → 检查上升主是否掌管8/12宫（清理者角色）
|
||
# 清理者定义：掌管8宫或12宫的行星
|
||
SIGN_LORDS_MAP = {'Aries': 'Mars', 'Taurus': 'Venus', 'Gemini': 'Mercury', 'Cancer': 'Moon',
|
||
'Leo': 'Sun', 'Virgo': 'Mercury', 'Libra': 'Venus', 'Scorpio': 'Mars',
|
||
'Sagittarius': 'Jupiter', 'Capricorn': 'Saturn', 'Aquarius': 'Saturn', 'Pisces': 'Jupiter'}
|
||
|
||
asc_sign = p1.get('asc_sign', '')
|
||
asc_idx_local = SIGNS.index(asc_sign) if asc_sign in SIGNS else 0
|
||
|
||
# 找8宫主和12宫主
|
||
h8_sign = SIGNS[(asc_idx_local + 7) % 12]
|
||
h12_sign = SIGNS[(asc_idx_local + 11) % 12]
|
||
destroyer_lords = {SIGN_LORDS_MAP.get(h8_sign, ''), SIGN_LORDS_MAP.get(h12_sign, '')}
|
||
|
||
for dl in destroyer_lords:
|
||
if dl and dl in p7:
|
||
dl_status = p7[dl].get('status', '')
|
||
if 'Exalted' in dl_status or 'Own' in dl_status:
|
||
conflicts.append({
|
||
'rule': 'Destroyer+Exalted',
|
||
'planets': [dl],
|
||
'verdict': '带毒高价值资产',
|
||
'instruction': f"{dl}既是清理者(掌8/12宫)又入旺/入庙，力量极强但方向凶险——禁止说逢凶化吉",
|
||
})
|
||
|
||
# 规则2: P5凶宫+BAV高 → 检查6/8/12宫的SAV是否 >28
|
||
asht_data = report.get('ashtakavarga', {})
|
||
house_scores = {}
|
||
if asht_data:
|
||
# 从ashtakavarga原始数据获取house_scores
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from ashtakavarga import calc_ashtakavarga
|
||
asht_result = calc_ashtakavarga(planets, asc_idx_local)
|
||
house_scores = asht_result.get('house_scores', {})
|
||
except:
|
||
pass
|
||
|
||
for h in [6, 8, 12]:
|
||
hs = house_scores.get(f'house_{h}', {})
|
||
sav_score = hs.get('score', 0)
|
||
if sav_score > 28:
|
||
conflicts.append({
|
||
'rule': 'Dusthana+HighBAV',
|
||
'house': h,
|
||
'sav': sav_score,
|
||
'verdict': '乱世出英雄',
|
||
'instruction': f"{h}宫是凶宫但SAV={sav_score}（>28），在困境中反而能出成就",
|
||
})
|
||
|
||
# 规则3: P1吉+P2受损 → 上升主星状态好但太阳(健康指标)受损
|
||
sun_info = p2.get('sun_status', '')
|
||
lord_info = p7.get(asc_lord, {})
|
||
lord_status = lord_info.get('status', '')
|
||
if ('Exalted' in lord_status or 'Own' in lord_status) and ('Debilitated' in sun_info or 'Enemy' in sun_info):
|
||
conflicts.append({
|
||
'rule': 'GoodP1+DamagedP2',
|
||
'planets': [asc_lord, 'Sun'],
|
||
'verdict': '空有雄心无着力点',
|
||
'instruction': f"上升主{asc_lord}强健但太阳受损，有野心但执行力/健康跟不上",
|
||
})
|
||
|
||
return conflicts
|
||
|
||
|
||
def cmd_audit(args):
|
||
"""P1-P12 行星审计：调用 chart→shadbala→ashtakavarga→yoga，输出统一审计报告"""
|
||
chart, asc_idx, jd, ayanamsa = compute_chart_data(
|
||
args.year, args.month, args.day, args.hour, args.minute,
|
||
args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if chart is None:
|
||
return {"error": "swisseph未安装"}
|
||
|
||
planets = chart.get('planets', {})
|
||
asc_sign = chart.get('ascendant', {}).get('sign', 'Unknown')
|
||
|
||
report = {
|
||
'version': '3.5',
|
||
'birth_info': chart.get('birth_info', {}),
|
||
'ascendant': chart.get('ascendant', {}),
|
||
'planets': planets,
|
||
'audit': {},
|
||
}
|
||
|
||
# P1 Identity（本命身份）: 上升星座 + 上升主星
|
||
asc_lord = chart.get('ascendant', {}).get('lord', 'Unknown')
|
||
lord_info = planets.get(asc_lord, {})
|
||
report['audit']['P1_identity'] = {
|
||
'asc_sign': asc_sign,
|
||
'asc_lord': asc_lord,
|
||
'lord_sign': lord_info.get('sign', 'Unknown'),
|
||
'lord_house': lord_info.get('house', 0),
|
||
'lord_status': lord_info.get('status', '未知'),
|
||
}
|
||
|
||
# P2 Health（健康指标）: 6宫 + 8宫 + 12宫主星 + 太阳状态
|
||
health_houses = [6, 8, 12]
|
||
health_lords = set()
|
||
health_info = {}
|
||
for h in health_houses:
|
||
sign_idx = (asc_idx + h - 1) % 12
|
||
sign_name = SIGNS[sign_idx]
|
||
lord = SIGN_LORDS.get(sign_name, 'Unknown')
|
||
health_lords.add(lord)
|
||
health_info[f'house_{h}'] = {'sign': sign_name, 'lord': lord}
|
||
sun_info = planets.get('Sun', {})
|
||
report['audit']['P2_health'] = {
|
||
'houses': health_info,
|
||
'sun_status': sun_info.get('status', '未知'),
|
||
'sun_house': sun_info.get('house', 0),
|
||
}
|
||
|
||
# P3 Warehouse Coupling（仓库耦合）: 双宫掌管=货物捆绑
|
||
# CNWU16逻辑：如果一颗行星同时掌管两个宫位，则两个宫位的事务被"捆绑"
|
||
house_lord_map = {}
|
||
for h in range(1, 13):
|
||
sign_idx = (asc_idx + h - 1) % 12
|
||
sname = SIGNS[sign_idx]
|
||
lord = SIGN_LORDS.get(sname, 'Unknown')
|
||
if lord not in house_lord_map:
|
||
house_lord_map[lord] = []
|
||
house_lord_map[lord].append(h)
|
||
|
||
warehouse_coupling = {}
|
||
for lord, houses in house_lord_map.items():
|
||
if len(houses) > 1:
|
||
warehouse_coupling[lord] = {
|
||
'houses': houses,
|
||
'meaning': f"{lord}同时掌管{houses[0]}宫和{houses[1]}宫，事务捆绑",
|
||
'conjunction_quality': _assess_conjunction_quality(lord, houses, planets),
|
||
}
|
||
report['audit']['P3_warehouse_coupling'] = warehouse_coupling
|
||
|
||
# P8 Age Status（年龄状态）: 青壮=主动, 老婴=辅助, 死=自动执行
|
||
# 基于行星在星座中的度数区间判定生命周期
|
||
age_status_map = {}
|
||
for pname, pd in planets.items():
|
||
deg_in_sign = pd.get('degree_in_sign', 0)
|
||
if pname in ['Rahu', 'Ketu']:
|
||
age_status_map[pname] = {'status': '永远逆行', 'phase': 'Rahu/Ketu无年龄状态'}
|
||
continue
|
||
if deg_in_sign < 10:
|
||
phase = '婴幼(0-10°)'
|
||
quality = '辅助型 — 能量尚未完全展开'
|
||
elif deg_in_sign < 20:
|
||
phase = '青壮(10-20°)'
|
||
quality = '主动型 — 能量最活跃，主导性强'
|
||
else:
|
||
phase = '老年(20-30°)'
|
||
quality = '自动执行型 — 已内化的能力，自动化运作'
|
||
age_status_map[pname] = {
|
||
'degree_in_sign': round(deg_in_sign, 2),
|
||
'phase': phase,
|
||
'quality': quality,
|
||
}
|
||
report['audit']['P8_age_status'] = age_status_map
|
||
|
||
# P4 Resource SAV（资源SAV）& P6 Exit SAV（退出SAV）
|
||
# 需要 Ashtakavarga 数据
|
||
asht_data = None
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from ashtakavarga import calc_ashtakavarga
|
||
asht_data = calc_ashtakavarga(planets, asc_idx)
|
||
report['ashtakavarga'] = {
|
||
'sav_total': asht_data.get('sav', {}).get('total', 0),
|
||
'sav_valid': asht_data.get('sav', {}).get('valid', False),
|
||
'strongest': asht_data.get('strongest_signs', []),
|
||
'weakest': asht_data.get('weakest_signs', []),
|
||
}
|
||
house_scores = asht_data.get('house_scores', {})
|
||
# P4: 财富宫(2,11) SAV
|
||
p4_info = {}
|
||
for h in [2, 11]:
|
||
hs = house_scores.get(f'house_{h}', {})
|
||
p4_info[f'house_{h}'] = hs
|
||
report['audit']['P4_resource_sav'] = p4_info
|
||
# P6: 退出宫(12) SAV + 8宫
|
||
p6_info = {}
|
||
for h in [8, 12]:
|
||
hs = house_scores.get(f'house_{h}', {})
|
||
p6_info[f'house_{h}'] = hs
|
||
report['audit']['P6_exit_sav'] = p6_info
|
||
# P5: 路况(1,5,9三宫) SAV
|
||
p5_info = {}
|
||
for h in [1, 5, 9]:
|
||
hs = house_scores.get(f'house_{h}', {})
|
||
p5_info[f'house_{h}'] = hs
|
||
report['audit']['P5_road_condition'] = p5_info
|
||
except Exception as e:
|
||
report['audit']['ashtakavarga_error'] = str(e)
|
||
|
||
# P7 Dignity（尊严状态）
|
||
dignity_map = {}
|
||
for pname, pd in planets.items():
|
||
dignity_map[pname] = {
|
||
'sign': pd.get('sign', ''),
|
||
'status': pd.get('status', '中性'),
|
||
'house': pd.get('house', 0),
|
||
'retrograde': pd.get('retrograde', False),
|
||
}
|
||
report['audit']['P7_dignity'] = dignity_map
|
||
|
||
# P9 Shadbala（六重力量）
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from shadbala import calc_shadbala
|
||
birth_hour = args.hour + args.minute / 60.0
|
||
sun_lon = planets.get('Sun', {}).get('degree', 0)
|
||
moon_lon = planets.get('Moon', {}).get('degree', 0)
|
||
shadbala = calc_shadbala(planets, asc_sign, birth_hour, sun_lon, moon_lon)
|
||
report['audit']['P9_shadbala'] = {
|
||
'summary': shadbala.get('summary', {}),
|
||
'ishta_bala_ranking': shadbala.get('ishta_bala_ranking', []),
|
||
}
|
||
except Exception as e:
|
||
report['audit']['P9_shadbala_error'] = str(e)
|
||
|
||
# P10 Aspects（相位）简化版
|
||
aspect_map = {}
|
||
for pname, pd in planets.items():
|
||
if pname in ['Rahu', 'Ketu']:
|
||
continue
|
||
house = pd.get('house', 0)
|
||
# 标准 7/4 相位（从该行星宫位数起）
|
||
aspects_from_house = {1: [7], 2: [7], 3: [5, 9, 7], 4: [7, 10],
|
||
5: [7], 6: [7], 7: [7], 8: [7],
|
||
9: [5, 7], 10: [7], 11: [7], 12: [7]}
|
||
# 特殊相位
|
||
special = {'Mars': [4, 7, 8], 'Jupiter': [5, 7, 9], 'Saturn': [3, 7, 10]}
|
||
if pname in special:
|
||
aspect_houses = special[pname]
|
||
else:
|
||
aspect_houses = [7] # 标准对宫
|
||
aspect_map[pname] = {
|
||
'from_house': house,
|
||
'aspect_houses': aspect_houses,
|
||
}
|
||
report['audit']['P10_aspects'] = aspect_map
|
||
|
||
# P11 Nakshatra
|
||
nak_map = {}
|
||
for pname, pd in planets.items():
|
||
nak_map[pname] = {
|
||
'nakshatra': pd.get('nakshatra', ''),
|
||
'pada': pd.get('nakshatra_pada', 0),
|
||
'lord': pd.get('nakshatra_lord', ''),
|
||
}
|
||
report['audit']['P11_nakshatra'] = nak_map
|
||
|
||
# P12 Yogas（格局识别）
|
||
try:
|
||
yoga_planets = {}
|
||
for pname, pd in planets.items():
|
||
if isinstance(pd, dict) and 'sign' in pd and 'house' in pd:
|
||
yoga_planets[pname] = {'sign': pd['sign'], 'house': pd['house']}
|
||
yoga_result = cmd_yoga(type('Args', (), {
|
||
'ascendant': asc_sign,
|
||
'planets': ','.join([f"{k}:{v['sign']}:{v['house']}" for k, v in yoga_planets.items()])
|
||
})())
|
||
report['audit']['P12_yogas'] = {
|
||
'count': yoga_result.get('yogas_detected', 0),
|
||
'yogas': yoga_result.get('yogas', []),
|
||
}
|
||
except Exception as e:
|
||
report['audit']['P12_yogas_error'] = str(e)
|
||
|
||
# 验证
|
||
try:
|
||
from validate import validate_chart
|
||
validation = validate_chart(chart, asht_data)
|
||
report['validation'] = validation
|
||
except Exception as e:
|
||
report['validation'] = {"error": str(e)}
|
||
|
||
# 冲突仲裁（CNWU16框架3条规则）
|
||
report['conflict_arbitration'] = _conflict_arbitration(report)
|
||
|
||
return report
|
||
|
||
|
||
# ============================================================================
|
||
# 14. 报告生成（v3.6新增）
|
||
# ============================================================================
|
||
def cmd_report(args):
|
||
"""调用 report_builder.py 生成 HTML 报告"""
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from report_builder import main as report_main
|
||
except ImportError as e:
|
||
return {"error": f"report_builder模块导入失败: {e}"}
|
||
|
||
# 构造 sys.argv 并调用 report_builder
|
||
folder = args.folder
|
||
if not os.path.isdir(folder):
|
||
return {"error": f"目录不存在: {folder}"}
|
||
|
||
report_argv = [
|
||
'report_builder.py', folder,
|
||
'--name', args.name,
|
||
'--lagna', args.lagna,
|
||
'--gender', args.gender,
|
||
'--status', args.status,
|
||
'--lang', args.lang,
|
||
]
|
||
if args.output:
|
||
report_argv.extend(['--output', args.output])
|
||
|
||
old_argv = sys.argv
|
||
sys.argv = report_argv
|
||
try:
|
||
report_main()
|
||
output_path = args.output or os.path.join(folder, 'report.html')
|
||
return {
|
||
'status': 'ok',
|
||
'output': output_path,
|
||
'name': args.name,
|
||
'lagna': args.lagna,
|
||
'lang': args.lang,
|
||
}
|
||
except SystemExit:
|
||
return {"error": "report_builder执行出错，请检查MD文件格式"}
|
||
except Exception as e:
|
||
return {"error": f"报告生成失败: {e}"}
|
||
finally:
|
||
sys.argv = old_argv
|
||
|
||
|
||
# ============================================================================
|
||
# 15. BPHS十六分盘完整计算（v3.7新增）
|
||
# ============================================================================
|
||
def cmd_varga_full(args):
|
||
chart, asc_idx, jd, ayanamsa = compute_chart_data(
|
||
args.year, args.month, args.day, args.hour, args.minute,
|
||
args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if chart is None:
|
||
return {"error": "swisseph未安装"}
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from varga import calc_all_vargas
|
||
except ImportError as e:
|
||
return {"error": f"varga模块导入失败: {e}"}
|
||
planets = chart.get('planets', {})
|
||
planet_lons = {pn: pd.get('degree_raw', pd['degree']) for pn, pd in planets.items() if isinstance(pd, dict) and 'degree' in pd}
|
||
asc_deg = chart.get('ascendant', {}).get('degree', 0)
|
||
divisions = [int(d.strip().replace('D','')) for d in args.divisions.split(',')] if args.divisions else None
|
||
return calc_all_vargas(planet_lons, asc_deg, divisions)
|
||
|
||
|
||
# ============================================================================
|
||
# 16. 度数精确相位系统（v3.7新增）
|
||
# ============================================================================
|
||
def cmd_aspects(args):
|
||
chart, asc_idx, jd, ayanamsa = compute_chart_data(
|
||
args.year, args.month, args.day, args.hour, args.minute,
|
||
args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if chart is None:
|
||
return {"error": "swisseph未安装"}
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from aspects import calc_all_aspects
|
||
except ImportError as e:
|
||
return {"error": f"aspects模块导入失败: {e}"}
|
||
planets = chart.get('planets', {})
|
||
planet_lons = {}
|
||
for pn, pd in planets.items():
|
||
if isinstance(pd, dict) and 'degree' in pd:
|
||
planet_lons[pn] = pd['degree']
|
||
asc_deg = chart.get('ascendant', {}).get('degree', 0)
|
||
return calc_all_aspects(planet_lons, asc_deg)
|
||
|
||
|
||
# ============================================================================
|
||
# 17. Jaimini系统（v3.7新增）
|
||
# ============================================================================
|
||
def cmd_jaimini(args):
|
||
chart, asc_idx, jd, ayanamsa = compute_chart_data(
|
||
args.year, args.month, args.day, args.hour, args.minute,
|
||
args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if chart is None:
|
||
return {"error": "swisseph未安装"}
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from jaimini import calc_chara_karaka_7, calc_chara_karaka_8, calc_chara_dasha, calc_karakamsha, calc_chara_dasha_with_antardasha
|
||
from varga import calc_varga
|
||
except ImportError as e:
|
||
return {"error": f"jaimini模块导入失败: {e}"}
|
||
planets = chart.get('planets', {})
|
||
planet_lons = {}
|
||
planet_degs = {} # 星座内度数(0-30)，用于Jaimini Karaka计算
|
||
for pn, pd in planets.items():
|
||
if isinstance(pd, dict) and 'degree' in pd:
|
||
planet_lons[pn] = pd['degree']
|
||
planet_degs[pn] = pd.get('degree_in_sign', pd['degree'] % 30)
|
||
asc_deg = chart.get('ascendant', {}).get('degree', 0)
|
||
|
||
result = {}
|
||
# Chara Karaka（必须传星座内度数0-30，不是完整经度0-360）
|
||
mode = args.mode or 'all'
|
||
if mode in ('all', 'karaka'):
|
||
result['chara_karaka_7'] = calc_chara_karaka_7(planet_degs)
|
||
result['chara_karaka_8'] = calc_chara_karaka_8(planet_degs)
|
||
if mode in ('all', 'dasha'):
|
||
use_antardasha = getattr(args, 'antardasha', False)
|
||
if use_antardasha:
|
||
result['chara_dasha'] = calc_chara_dasha_with_antardasha(asc_idx, planet_lons, args.year, args.month)
|
||
else:
|
||
result['chara_dasha'] = calc_chara_dasha(asc_idx, planet_lons, args.year, args.month)
|
||
if mode in ('all', 'karakamsha'):
|
||
# AK（灵魂星）的D9位置 — Karakamsha定义是AK在Navamsa中的星座
|
||
# ⚠️ 2026-05-03修正：此前错误使用DK，现已修正为AK
|
||
ck7 = calc_chara_karaka_7(planet_degs)
|
||
ak_name = ck7['karaka_table']['Atmakaraka']['planet']
|
||
ak_lon = planet_lons.get(ak_name, 0)
|
||
ak_d9 = calc_varga(ak_lon, 9)
|
||
result['karakamsha'] = calc_karakamsha(ak_d9.get('sign', 'Aries'), ak_d9.get('degree_in_sign', 0))
|
||
return result
|
||
|
||
|
||
# ============================================================================
|
||
# 18. 高级Nakshatra分析（v3.7新增）
|
||
# ============================================================================
|
||
def cmd_nakshatra_adv(args):
|
||
chart, asc_idx, jd, ayanamsa = compute_chart_data(
|
||
args.year, args.month, args.day, args.hour, args.minute,
|
||
args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if chart is None:
|
||
return {"error": "swisseph未安装"}
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from nakshatra_advanced import find_nakshatra, calc_all_tara_balas, calc_sub_lord, nakshatra_compatibility
|
||
except ImportError as e:
|
||
return {"error": f"nakshatra_advanced模块导入失败: {e}"}
|
||
planets = chart.get('planets', {})
|
||
planet_lons = {}
|
||
for pn, pd in planets.items():
|
||
if isinstance(pd, dict) and 'degree' in pd:
|
||
planet_lons[pn] = pd['degree']
|
||
|
||
result = {'planets': {}}
|
||
mode = args.mode or 'all'
|
||
|
||
if mode in ('all', 'detail'):
|
||
for pn, lon in planet_lons.items():
|
||
result['planets'][pn] = find_nakshatra(lon)
|
||
|
||
if mode in ('all', 'tara'):
|
||
moon_lon = planet_lons.get('Moon', 0)
|
||
moon_nak_idx = int(moon_lon / (360/27)) % 27
|
||
result['tara_bala'] = calc_all_tara_balas(moon_nak_idx, planet_lons)
|
||
|
||
if mode in ('all', 'sublord'):
|
||
result['sub_lords'] = {pn: calc_sub_lord(lon) for pn, lon in planet_lons.items()}
|
||
|
||
return result
|
||
|
||
|
||
# ============================================================================
|
||
# 19. Argala门闩系统（v3.7新增）
|
||
# ============================================================================
|
||
def cmd_argala(args):
|
||
chart, asc_idx, jd, ayanamsa = compute_chart_data(
|
||
args.year, args.month, args.day, args.hour, args.minute,
|
||
args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if chart is None:
|
||
return {"error": "swisseph未安装"}
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from argala import calc_argala
|
||
except ImportError as e:
|
||
return {"error": f"argala模块导入失败: {e}"}
|
||
planets = chart.get('planets', {})
|
||
# 构建宫位到行星的映射 - argala需要sign_indices
|
||
planet_sign_indices = {}
|
||
for pn, pd in planets.items():
|
||
if isinstance(pd, dict) and 'sign' in pd:
|
||
si = SIGNS.index(pd['sign']) if pd['sign'] in SIGNS else 0
|
||
planet_sign_indices[pn] = si
|
||
return calc_argala(planet_sign_indices, asc_idx)
|
||
|
||
|
||
# ============================================================================
|
||
# 20. Tajika/Varshaphala年运盘（v3.7新增）
|
||
# ============================================================================
|
||
def cmd_tajika(args):
|
||
chart, asc_idx, jd, ayanamsa = compute_chart_data(
|
||
args.year, args.month, args.day, args.hour, args.minute,
|
||
args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if chart is None:
|
||
return {"error": "swisseph未安装"}
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from tajika import calc_muntha, calc_year_lord, calc_mudda_dasha, calc_tri_pataka
|
||
except ImportError as e:
|
||
return {"error": f"tajika模块导入失败: {e}"}
|
||
planets = chart.get('planets', {})
|
||
planet_lons = {}
|
||
for pn, pd in planets.items():
|
||
if isinstance(pd, dict) and 'degree' in pd:
|
||
planet_lons[pn] = pd['degree']
|
||
asc_deg = chart.get('ascendant', {}).get('degree', 0)
|
||
asc_si = int(asc_deg / 30) % 12 # sign index
|
||
age = args.age
|
||
if age is None:
|
||
return {"error": "请提供 --age 参数（当前年龄）"}
|
||
|
||
result = {}
|
||
mode = args.mode or 'all'
|
||
if mode in ('all', 'muntha'):
|
||
result['muntha'] = calc_muntha(asc_si, age)
|
||
if mode in ('all', 'yearlord'):
|
||
result['year_lord'] = calc_year_lord(asc_si, age)
|
||
if mode in ('all', 'mudda'):
|
||
# 需要先获取 varsha_lord
|
||
yl = calc_year_lord(asc_si, age)
|
||
varsha_lord = yl.get('year_lord', 'Jupiter')
|
||
result['mudda_dasha'] = calc_mudda_dasha(asc_si, varsha_lord, args.month)
|
||
if mode in ('all', 'tripataka'):
|
||
yl = calc_year_lord(asc_si, age)
|
||
varsha_lord = yl.get('year_lord', 'Jupiter')
|
||
muntha_si = (asc_si + age) % 12
|
||
result['tri_pataka'] = calc_tri_pataka(planet_lons, varsha_lord, muntha_si)
|
||
return result
|
||
|
||
|
||
# ============================================================================
|
||
# 21. 合盘分析（v3.7新增）
|
||
# ============================================================================
|
||
def cmd_synastry(args):
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from synastry import calc_synastry
|
||
except ImportError as e:
|
||
return {"error": f"synastry模块导入失败: {e}"}
|
||
# 构建两人数据
|
||
p1 = {'moon_lon': args.moon1, 'gender': args.gender1 or 'M'}
|
||
p2 = {'moon_lon': args.moon2, 'gender': args.gender2 or 'F'}
|
||
if args.mars1 is not None: p1['mars_lon'] = args.mars1
|
||
if args.mars2 is not None: p2['mars_lon'] = args.mars2
|
||
if args.asc1 is not None: p1['asc_lon'] = args.asc1
|
||
if args.asc2 is not None: p2['asc_lon'] = args.asc2
|
||
return calc_synastry(p1, p2)
|
||
|
||
|
||
# ============================================================================
|
||
# 22. 全自动综合解盘 full-reading（v3.7.1新增）
|
||
# ============================================================================
|
||
|
||
|
||
# ============================================================================
|
||
# Transit 多参考点分析（v4.5.0 P1补齐）
|
||
# 基于 transit-multi-reference-guide.md 强制规范
|
||
# 四参考点：Lagna / Chandra Lagna / Arudha Lagna / Navamsa Lagna
|
||
# ============================================================================
|
||
def _calc_transit_multi_reference(planets, asc_idx, asc_deg, planet_lons, transit_planets=None, transit_date=None, node_mode='mean'):
|
||
"""
|
||
⭐ v4.5.0: Transit多参考点分析（强制规范）
|
||
每次Transit分析必须同时从四个参考点评估：
|
||
1. Lagna（上升点）— 实际生活事件
|
||
2. Chandra Lagna（月亮星座）— 心理状态、职业变动
|
||
3. Arudha Lagna（AL）— 公众形象
|
||
4. Navamsa Lagna（D9上升）— 灵魂层面
|
||
"""
|
||
data_layer = 'true_transit_positions' if transit_planets else 'natal_positions_fallback'
|
||
analysis_planets = transit_planets if transit_planets else planets
|
||
# 四个参考点的星座索引
|
||
moon_lon = planet_lons.get('Moon', 0)
|
||
chandra_idx = int(moon_lon / 30) % 12
|
||
|
||
# Arudha Lagna（从special_lagnas模块逻辑简化：AL = (Ascendant度数+12宫主度数)%360 对应的星座）
|
||
twelfth_sign_idx = (asc_idx + 11) % 12
|
||
twelfth_lord = SIGN_LORDS.get(SIGNS[twelfth_sign_idx], '')
|
||
twelfth_lord_lon = planet_lons.get(twelfth_lord, 0)
|
||
al_raw = (asc_deg + twelfth_lord_lon) % 360
|
||
# AL 特殊规则：如果结果落在原始宫或第7宫，取对宫
|
||
al_idx = int(al_raw / 30) % 12
|
||
if al_idx == asc_idx or al_idx == (asc_idx + 6) % 12:
|
||
al_idx = (al_idx + 7) % 12 # 取第8个 = 对宫再移一位
|
||
|
||
# Navamsa Lagna
|
||
d9_asc_idx = _navamsa_idx(asc_deg)
|
||
|
||
references = {
|
||
'Lagna': {
|
||
'name': 'Lagna',
|
||
'cn': '上升点',
|
||
'sign': SIGNS[asc_idx],
|
||
'sign_cn': SIGNS_CN[SIGNS[asc_idx]],
|
||
'sign_idx': asc_idx,
|
||
'priority': 'P1',
|
||
'scope': '实际生活事件、身体健康',
|
||
},
|
||
'Chandra_Lagna': {
|
||
'name': 'Chandra Lagna',
|
||
'cn': '月亮上升',
|
||
'sign': SIGNS[chandra_idx],
|
||
'sign_cn': SIGNS_CN[SIGNS[chandra_idx]],
|
||
'sign_idx': chandra_idx,
|
||
'priority': 'P1',
|
||
'scope': '心理状态、职业变动、情感体验',
|
||
},
|
||
'Arudha_Lagna': {
|
||
'name': 'Arudha Lagna',
|
||
'cn': '形象上升',
|
||
'sign': SIGNS[al_idx],
|
||
'sign_cn': SIGNS_CN[SIGNS[al_idx]],
|
||
'sign_idx': al_idx,
|
||
'priority': 'P2',
|
||
'scope': '公众形象、社会认知、他人如何看待你',
|
||
},
|
||
'Navamsa_Lagna': {
|
||
'name': 'Navamsa Lagna',
|
||
'cn': '灵性上升',
|
||
'sign': SIGNS[d9_asc_idx],
|
||
'sign_cn': SIGNS_CN[SIGNS[d9_asc_idx]],
|
||
'sign_idx': d9_asc_idx,
|
||
'priority': 'P3',
|
||
'scope': '灵魂层面的实际影响、内在真实',
|
||
},
|
||
}
|
||
|
||
# 对每个外行星（Jupiter/Saturn/Rahu/Ketu），计算从四个参考点看的宫位
|
||
OUTER_PLANETS = ['Jupiter', 'Saturn', 'Rahu', 'Ketu']
|
||
transit_analysis = {}
|
||
for pn in OUTER_PLANETS:
|
||
pd = analysis_planets.get(pn, {})
|
||
if not isinstance(pd, dict) or 'sign' not in pd:
|
||
continue
|
||
p_sign_idx = SIGNS.index(pd['sign']) if pd['sign'] in SIGNS else 0
|
||
transit_analysis[pn] = {
|
||
'sign': pd['sign'],
|
||
'sign_cn': SIGNS_CN.get(pd['sign'], ''),
|
||
'degree_in_sign': pd.get('degree_in_sign', pd.get('degree', 0) % 30),
|
||
'house_from_ref': {},
|
||
}
|
||
for ref_name, ref_info in references.items():
|
||
ref_idx = ref_info['sign_idx']
|
||
house = ((p_sign_idx - ref_idx) % 12) + 1
|
||
house_meaning = _house_theme(house)
|
||
transit_analysis[pn]['house_from_ref'][ref_name] = {
|
||
'house': house,
|
||
'meaning': house_meaning,
|
||
}
|
||
|
||
# 差异检测：同一行星在不同参考点的宫位含义是否矛盾
|
||
divergences = []
|
||
for pn, pa in transit_analysis.items():
|
||
houses = {ref: info['house'] for ref, info in pa['house_from_ref'].items()}
|
||
unique_houses = set(houses.values())
|
||
if len(unique_houses) > 1:
|
||
divergences.append({
|
||
'planet': pn,
|
||
'houses': houses,
|
||
'divergence': f'{pn}在四个参考点分别落在不同宫位，需综合判断',
|
||
})
|
||
|
||
# Sade Sati / Ashtama Shani 检测（基于Chandra Lagna）
|
||
special_checks = {}
|
||
saturn_sign_idx = SIGNS.index(analysis_planets.get('Saturn', {}).get('sign', 'Aries')) if isinstance(analysis_planets.get('Saturn'), dict) and analysis_planets.get('Saturn', {}).get('sign') in SIGNS else 0
|
||
# Sade Sati: Saturn 在月亮星座或前后1宫
|
||
sade_sati_phase = None
|
||
if saturn_sign_idx == chandra_idx:
|
||
sade_sati_phase = 'peak'
|
||
elif saturn_sign_idx == (chandra_idx - 1) % 12:
|
||
sade_sati_phase = 'rising'
|
||
elif saturn_sign_idx == (chandra_idx + 1) % 12:
|
||
sade_sati_phase = 'setting'
|
||
if sade_sati_phase:
|
||
special_checks['sade_sati'] = {
|
||
'active': True,
|
||
'phase': sade_sati_phase,
|
||
'note': f'土星过境月亮{SIGNS_CN[SIGNS[chandra_idx]]}附近，Sade Sati {sade_sati_phase}期',
|
||
}
|
||
# Ashtama Shani: Saturn在月亮第8宫
|
||
saturn_from_chandra = ((saturn_sign_idx - chandra_idx) % 12) + 1
|
||
if saturn_from_chandra == 8:
|
||
special_checks['ashtama_shani'] = {
|
||
'active': True,
|
||
'note': '土星过境月亮第8宫（Ashtama Shani），压力期',
|
||
}
|
||
|
||
return {
|
||
'references': references,
|
||
'target_date': transit_date,
|
||
'node_mode': node_mode,
|
||
'data_layer': data_layer,
|
||
'transit_analysis': transit_analysis,
|
||
'divergences': divergences,
|
||
'divergence_count': len(divergences),
|
||
'special_checks': special_checks,
|
||
'protocol': 'v6.0.10 Transit多参考点强制规范：AI必须用真实过境行星位置，并同时呈现Lagna和Chandra Lagna两个视角。任何矛盾信号必须记录并解释。',
|
||
}
|
||
|
||
|
||
# ============================================================================
|
||
# Dasa Convergence 三系统交叉验证（v4.5.0 P1补齐）
|
||
# 基于 dasa-convergence-methodology.md
|
||
# 三系统：Vimshottari + Chara Dasha + Yogini
|
||
# ============================================================================
|
||
# Yogini Dasha 常量
|
||
YOGINI_ORDER = ['Mangala', 'Pingala', 'Dhanya', 'Bhramari', 'Bhadrika', 'Ulka', 'Siddha', 'Sankata']
|
||
YOGINI_YEARS = {'Mangala': 1, 'Pingala': 2, 'Dhanya': 3, 'Bhramari': 4, 'Bhadrika': 5, 'Ulka': 6, 'Siddha': 7, 'Sankata': 8}
|
||
# Yogini 从月亮 Nakshatra 的第3个 Nakshatra（Dhanishta）开始计数
|
||
YOGINI_NAK_START = 23 # Dhanishta 在 NAKSHATRA_LIST 中的索引
|
||
|
||
|
||
def _calc_yogini_dasha(moon_lon, birthdate_str):
|
||
"""
|
||
计算 Yogini Dasha 时间线
|
||
Yogini 基于 8 位女神循环，总周期 36 年
|
||
起始点由月亮所在 Nakshatra 决定
|
||
"""
|
||
nak_idx = int(moon_lon / (360 / 27)) % 27
|
||
# Yogini 起始索引 = (nak_idx - YOGINI_NAK_START) % 8
|
||
yog_start = (nak_idx - YOGINI_NAK_START) % 8
|
||
# 余数 = 在当前 Yogini 周期中的已过比例
|
||
nak_in_yog = nak_idx % 8 # 在8分组的第几个
|
||
pada = int((moon_lon % (360/27)) / (360/108)) + 1
|
||
# 余数比例
|
||
balance_frac = (nak_in_yog * 4 + pada - 1) / 32 # 8 Nakshatra × 4 Pada = 32 份
|
||
balance_frac = min(balance_frac, 1.0)
|
||
|
||
birth_date = datetime.strptime(birthdate_str, '%Y-%m-%d')
|
||
maha_periods = []
|
||
total_years = 0
|
||
for i in range(8):
|
||
idx = (yog_start + i) % 8
|
||
name = YOGINI_ORDER[idx]
|
||
years = YOGINI_YEARS[name]
|
||
if i == 0:
|
||
elapsed_years = years * balance_frac
|
||
actual_years = years - elapsed_years
|
||
start_offset = total_years
|
||
maha_periods.append({
|
||
'yogini': name,
|
||
'full_years': years,
|
||
'balance_years': round(actual_years, 3),
|
||
'start_offset_years': round(start_offset, 3),
|
||
'start_date': (birth_date + timedelta(days=round(start_offset * 365.25))).strftime('%Y-%m-%d'),
|
||
'end_date': (birth_date + timedelta(days=round((start_offset + actual_years) * 365.25))).strftime('%Y-%m-%d'),
|
||
'is_current_start': True,
|
||
})
|
||
total_years += actual_years
|
||
else:
|
||
start_offset = total_years
|
||
maha_periods.append({
|
||
'yogini': name,
|
||
'full_years': years,
|
||
'start_offset_years': round(start_offset, 3),
|
||
'start_date': (birth_date + timedelta(days=round(start_offset * 365.25))).strftime('%Y-%m-%d'),
|
||
'end_date': (birth_date + timedelta(days=round((start_offset + years) * 365.25))).strftime('%Y-%m-%d'),
|
||
})
|
||
total_years += years
|
||
|
||
# 计算当前 Yogini
|
||
today = datetime.now()
|
||
age_days = (today - birth_date).days
|
||
age_years = age_days / 365.25
|
||
cycle_years = 36 # Yogini 总周期
|
||
current_in_cycle = age_years % cycle_years
|
||
current_yogini = None
|
||
cumulative = 0
|
||
for yp in maha_periods:
|
||
dur = yp.get('balance_years', yp['full_years'])
|
||
if cumulative <= current_in_cycle < cumulative + dur:
|
||
current_yogini = yp
|
||
break
|
||
cumulative += dur
|
||
|
||
return {
|
||
'moon_nakshatra_idx': nak_idx,
|
||
'yogini_start_index': yog_start,
|
||
'total_cycle_years': 36,
|
||
'maha_periods': maha_periods,
|
||
'current_yogini': current_yogini,
|
||
}
|
||
|
||
|
||
def _calc_dasa_convergence(dasha_result, chara_dasha_result, yogini_result, planet_lons, asc_idx):
|
||
"""
|
||
⭐ v4.5.0: Dasa Convergence 三系统交叉验证
|
||
Vimshottari + Chara Dasha + Yogini 三系统同时激活同一生活领域时，概率大幅提升
|
||
"""
|
||
# 提取各系统当前周期
|
||
convergence_data = {'systems': {}}
|
||
|
||
# 系统1: Vimshottari
|
||
if isinstance(dasha_result, dict):
|
||
current_d = dasha_result.get('current_dasha', {})
|
||
if isinstance(current_d, dict):
|
||
maha = current_d.get('mahadasha', current_d.get('maha'))
|
||
antar = current_d.get('antardasha', current_d.get('antar'))
|
||
convergence_data['systems']['vimshottari'] = {
|
||
'maha': maha,
|
||
'antar': antar,
|
||
'pratyantar': current_d.get('pratyantar'),
|
||
'basis': 'Nakshatra (Moon)',
|
||
}
|
||
|
||
# 系统2: Chara Dasha
|
||
if isinstance(chara_dasha_result, dict):
|
||
cd_maha = chara_dasha_result.get('current_maha', chara_dasha_result.get('current'))
|
||
cd_antar = chara_dasha_result.get('current_antar')
|
||
if isinstance(cd_maha, dict):
|
||
cd_sign = cd_maha.get('sign', cd_maha.get('rashi'))
|
||
elif isinstance(cd_maha, str):
|
||
cd_sign = cd_maha
|
||
else:
|
||
cd_sign = None
|
||
convergence_data['systems']['chara_dasha'] = {
|
||
'maha_sign': cd_sign,
|
||
'antar_sign': cd_antar.get('sign', cd_antar) if isinstance(cd_antar, dict) else cd_antar,
|
||
'basis': 'Rashi (Sign-based)',
|
||
}
|
||
|
||
# 系统3: Yogini
|
||
if isinstance(yogini_result, dict):
|
||
cur_yog = yogini_result.get('current_yogini', {})
|
||
convergence_data['systems']['yogini'] = {
|
||
'yogini': cur_yog.get('yogini') if isinstance(cur_yog, dict) else None,
|
||
'years': cur_yog.get('full_years') if isinstance(cur_yog, dict) else None,
|
||
'basis': 'Nakshatra (8-goddess cycle)',
|
||
}
|
||
|
||
# 宫位主题映射
|
||
house_themes_map = {
|
||
1: 'self_health', 2: 'wealth_family', 3: 'communication_skill', 4: 'home_mother',
|
||
5: 'creativity_children', 6: 'health_service', 7: 'marriage_partnership',
|
||
8: 'transformation', 9: 'fortune_dharma', 10: 'career_status',
|
||
11: 'gains_wishes', 12: 'loss_spirituality',
|
||
}
|
||
|
||
# 逐领域检测三系统激活
|
||
domain_activations = {}
|
||
for house, domain in house_themes_map.items():
|
||
activations = []
|
||
|
||
# Vimshottari: 检查大运/小运行星是否关联该宫
|
||
vims = convergence_data['systems'].get('vimshottari', {})
|
||
if vims:
|
||
for level in ['maha', 'antar']:
|
||
planet = vims.get(level)
|
||
if planet and isinstance(planet, str):
|
||
# 该行星是否掌管此宫？
|
||
target_sign_idx = (asc_idx + house - 1) % 12
|
||
target_sign = SIGNS[target_sign_idx]
|
||
target_lord = SIGN_LORDS.get(target_sign, '')
|
||
if planet == target_lord:
|
||
activations.append({
|
||
'system': 'Vimshottari',
|
||
'level': level,
|
||
'planet': planet,
|
||
'reason': f'{planet}是{house}宫({target_sign})的宫主星',
|
||
})
|
||
# 该行星是否落在此宫？
|
||
p_sign_idx = int(planet_lons.get(planet, 0) / 30) % 12
|
||
p_house = ((p_sign_idx - asc_idx) % 12) + 1
|
||
if p_house == house:
|
||
activations.append({
|
||
'system': 'Vimshottari',
|
||
'level': level,
|
||
'planet': planet,
|
||
'reason': f'{planet}落在{house}宫',
|
||
})
|
||
|
||
# Chara Dasha: 检查当前星座是否关联该宫
|
||
cd = convergence_data['systems'].get('chara_dasha', {})
|
||
if cd and cd.get('maha_sign'):
|
||
cd_sign = cd['maha_sign']
|
||
if cd_sign in SIGNS:
|
||
cd_sign_idx = SIGNS.index(cd_sign)
|
||
cd_house_from_asc = ((cd_sign_idx - asc_idx) % 12) + 1
|
||
if cd_house_from_asc == house:
|
||
activations.append({
|
||
'system': 'Chara Dasha',
|
||
'level': 'maha',
|
||
'sign': cd_sign,
|
||
'reason': f'Chara大运星座{cd_sign}是{house}宫',
|
||
})
|
||
|
||
if activations:
|
||
domain_activations[domain] = {
|
||
'house': house,
|
||
'activations': activations,
|
||
'system_count': len(set(a['system'] for a in activations)),
|
||
}
|
||
|
||
# 收敛等级评估
|
||
for domain, info in domain_activations.items():
|
||
sc = info['system_count']
|
||
if sc >= 3:
|
||
info['convergence_level'] = 'L4'
|
||
info['probability'] = '75-85%'
|
||
info['interpretation'] = '三系统同时激活，极强信号'
|
||
elif sc >= 2:
|
||
info['convergence_level'] = 'L3'
|
||
info['probability'] = '50-65%'
|
||
info['interpretation'] = '双系统激活，强信号'
|
||
else:
|
||
info['convergence_level'] = 'L1'
|
||
info['probability'] = '+15-20%'
|
||
info['interpretation'] = '单系统激活，需Transit确认'
|
||
|
||
# 收敛窗口（最高优先级的领域）
|
||
top_domains = sorted(domain_activations.items(), key=lambda x: x[1]['system_count'], reverse=True)[:5]
|
||
|
||
return {
|
||
'systems_summary': convergence_data['systems'],
|
||
'domain_activations': domain_activations,
|
||
'top_convergent_domains': [(d, info['convergence_level']) for d, info in top_domains],
|
||
'protocol': 'v4.5.0 Dasa Convergence 三系统交叉验证。收敛等级: L1(单系统)→L3(双系统)→L4(三系统)。所有预测必须标注收敛等级。',
|
||
}
|
||
|
||
|
||
def _calc_actionable_context(planets, asc_idx):
|
||
"""⭐ v4.1.0: 计算Transit Actionable Output所需的上下文数据
|
||
输出：宫位激活映射 + 关键行星宫位关系 → 供AI生成Actionable Output时直接引用
|
||
"""
|
||
# 宫位主星映射（哪个行星掌管哪个宫）
|
||
house_lord_map = {}
|
||
for h in range(1, 13):
|
||
sign_idx = (asc_idx + h - 1) % 12
|
||
sname = SIGNS[sign_idx]
|
||
lord = SIGN_LORDS.get(sname, 'Unknown')
|
||
house_lord_map[h] = {'sign': sname, 'lord': lord}
|
||
|
||
# 行星落宫映射（哪个行星落在哪个宫）
|
||
planet_house_map = {}
|
||
for pn, pd in planets.items():
|
||
if isinstance(pd, dict):
|
||
planet_house_map[pn] = {
|
||
'sign': pd.get('sign', 'Unknown'),
|
||
'house': pd.get('house', 0),
|
||
'degree_in_sign': pd.get('degree_in_sign', 0),
|
||
}
|
||
|
||
# 双宫掌管检测（仓库耦合）
|
||
lord_to_houses = {}
|
||
for h, info in house_lord_map.items():
|
||
lord = info['lord']
|
||
if lord not in lord_to_houses:
|
||
lord_to_houses[lord] = []
|
||
lord_to_houses[lord].append(h)
|
||
warehouse_coupling = {l: hs for l, hs in lord_to_houses.items() if len(hs) > 1}
|
||
|
||
# 关键宫位激活条件（Transit激活该宫需要哪些行星过境相关星座）
|
||
KEY_HOUSES = {
|
||
2: '财富/家庭/语言',
|
||
3: '沟通/技能/短途/内容创作',
|
||
5: '创造力/子女/投机/恋爱',
|
||
7: '婚姻/合作/公开对手',
|
||
9: '长途旅行/高等教育/宗教/出版',
|
||
10: '事业/社会地位/权威',
|
||
11: '收入/愿望/社交网络/贵人',
|
||
12: '海外/灵性/损失/解脱',
|
||
}
|
||
|
||
activation_map = {}
|
||
for h, meaning in KEY_HOUSES.items():
|
||
sign_idx = (asc_idx + h - 1) % 12
|
||
sname = SIGNS[sign_idx]
|
||
lord = SIGN_LORDS.get(sname, 'Unknown')
|
||
lord_house = planet_house_map.get(lord, {}).get('house', 0)
|
||
activation_map[h] = {
|
||
'house_meaning': meaning,
|
||
'sign': sname,
|
||
'lord': lord,
|
||
'lord_house': lord_house,
|
||
'transit_triggers': f'{lord}过境{h}宫({sname})或{lord}本身过境相关宫位',
|
||
'double_transit_hint': f'需要Saturn和Jupiter同时激活{h}宫或{h}宫主所在宫',
|
||
}
|
||
|
||
# 内容创作相关信号（3宫/5宫/9宫/10宫交叉）
|
||
content_signals = {}
|
||
for h in [3, 5, 9, 10]:
|
||
if h in activation_map:
|
||
content_signals[f'house_{h}'] = activation_map[h]
|
||
|
||
# 贵人相关信号（7宫/9宫/11宫）
|
||
mentor_signals = {}
|
||
for h in [7, 9, 11]:
|
||
if h in activation_map:
|
||
mentor_signals[f'house_{h}'] = activation_map[h]
|
||
|
||
return {
|
||
'house_lord_map': house_lord_map,
|
||
'planet_house_map': planet_house_map,
|
||
'warehouse_coupling': warehouse_coupling,
|
||
'key_house_activations': activation_map,
|
||
'content_creation_context': content_signals,
|
||
'mentor_discovery_context': mentor_signals,
|
||
'actionable_hint': 'AI应基于此上下文生成Transit Actionable Output：每条Transit预测必须包含时间段+行动类型+置信度。详见SKILL.md Transit Actionable Output规范。',
|
||
}
|
||
|
||
def cmd_full_reading(args):
|
||
"""
|
||
用户只需提供出生信息，引擎自动串起全链路分析：
|
||
chart → dasha → yoga → varga-full → aspects → jaimini → nakshatra-adv
|
||
→ argala → tajika → shadbala → ashtakavarga → validate → audit
|
||
→ 综合报告输出
|
||
"""
|
||
import time
|
||
t0 = time.time()
|
||
|
||
report = {
|
||
'version': '4.4.0-full-reading',
|
||
'birth_info': {
|
||
'date': f"{args.year}-{args.month:02d}-{args.day:02d}",
|
||
'time': f"{args.hour:02d}:{args.minute:02d}",
|
||
'lat': args.lat, 'lon': args.lon,
|
||
'tz': f"UTC{'+' if args.tz >= 0 else ''}{args.tz}",
|
||
},
|
||
'modules': {},
|
||
'errors': [],
|
||
'warnings': [],
|
||
}
|
||
|
||
# ── Step 1: 核心星盘 ──
|
||
chart, asc_idx, jd, ayanamsa = compute_chart_data(
|
||
args.year, args.month, args.day, args.hour, args.minute,
|
||
args.lat, args.lon, args.tz, getattr(args, 'node_mode', 'mean'))
|
||
if chart is None:
|
||
return {"error": "swisseph未安装，无法计算星盘"}
|
||
|
||
report['chart'] = chart
|
||
report['modules']['chart'] = chart
|
||
planets = chart.get('planets', {})
|
||
asc_deg = chart.get('ascendant', {}).get('degree', 0)
|
||
asc_sign = chart.get('ascendant', {}).get('sign', 'Unknown')
|
||
planet_lons = {pn: pd.get('degree_raw', pd['degree']) for pn, pd in planets.items() if isinstance(pd, dict) and 'degree' in pd}
|
||
planet_degs = {pn: pd.get('degree_in_sign_raw', pd.get('degree_in_sign', pd['degree'] % 30)) for pn, pd in planets.items() if isinstance(pd, dict) and 'degree' in pd}
|
||
planet_sign_indices = {}
|
||
for pn, pd in planets.items():
|
||
if isinstance(pd, dict) and 'sign' in pd:
|
||
planet_sign_indices[pn] = SIGNS.index(pd['sign']) if pd['sign'] in SIGNS else 0
|
||
|
||
# ── Step 1.5: Special Lagnas 特殊上升点 (v4.4.0) ──
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from special_lagnas import SpecialLagnasCalculator
|
||
sl_calc = SpecialLagnasCalculator()
|
||
birth_dt = datetime(args.year, args.month, args.day, args.hour, args.minute)
|
||
# 简化处理：sunrise 近似为 6:00 当地时间
|
||
sunrise_dt = datetime(args.year, args.month, args.day, 6, 0)
|
||
sl_result = sl_calc.calculate_all_lagnas(
|
||
asc_degree=asc_deg,
|
||
sun_degree=planet_lons.get('Sun', 0),
|
||
moon_degree=planet_lons.get('Moon', 0),
|
||
birth_time=birth_dt,
|
||
sunrise_time=sunrise_dt
|
||
)
|
||
# 补充 Arudha Lagna、A10/Karma Pada 和 Upapada Lagna
|
||
try:
|
||
first_house_sign_idx = asc_idx
|
||
first_lord = SIGN_LORDS.get(SIGNS[first_house_sign_idx], '')
|
||
first_lord_deg = planet_lons.get(first_lord, 0)
|
||
sl_result['Arudha_Lagna'] = sl_calc.calculate_arudha_lagna(asc_deg, first_lord_deg)
|
||
except Exception as e:
|
||
sl_result['Arudha_Lagna'] = {"error": str(e)}
|
||
try:
|
||
tenth_house_sign_idx = (asc_idx + 9) % 12
|
||
tenth_lord = SIGN_LORDS.get(SIGNS[tenth_house_sign_idx], '')
|
||
tenth_lord_deg = planet_lons.get(tenth_lord, 0)
|
||
sl_result['A10_Karma_Pada'] = sl_calc.calculate_a10(asc_deg, tenth_lord_deg)
|
||
except Exception as e:
|
||
sl_result['A10_Karma_Pada'] = {"error": str(e)}
|
||
try:
|
||
twelfth_house_sign_idx = (asc_idx + 11) % 12
|
||
twelfth_lord = SIGN_LORDS.get(SIGNS[twelfth_house_sign_idx], '')
|
||
twelfth_lord_deg = planet_lons.get(twelfth_lord, 0)
|
||
sl_result['Upapada_Lagna'] = sl_calc.calculate_upapada_lagna(asc_deg, twelfth_lord_deg)
|
||
except Exception as e:
|
||
sl_result['Upapada_Lagna'] = {"error": str(e)}
|
||
report['modules']['special_lagnas'] = sl_result
|
||
except Exception as e:
|
||
report['errors'].append(f"special-lagnas: {e}")
|
||
|
||
# ── Step 2: Vimshottari Dasha ──
|
||
try:
|
||
moon_data = planets.get('Moon', {})
|
||
moon_lon = moon_data.get('degree_raw', moon_data.get('degree', 0))
|
||
nak_idx = int(moon_lon / (360 / 27)) % 27
|
||
nak_name = NAKSHATRA_LIST[nak_idx][0]
|
||
nak_lord = NAKSHATRA_LIST[nak_idx][1]
|
||
pada = int((moon_lon % (360/27)) / (360/108)) + 1
|
||
|
||
birthdate = f"{args.year}-{args.month:02d}-{args.day:02d}"
|
||
today_str = getattr(args, 'today', None) or datetime.now().strftime('%Y-%m-%d')
|
||
dasha_result = cmd_dasha(type('Args', (), {
|
||
'nakshatra': nak_name, 'pada': pada,
|
||
'moon_lon': moon_lon, 'birthdate': birthdate, 'today': today_str
|
||
})())
|
||
report['modules']['dasha'] = dasha_result
|
||
report['modules']['dasha_sandhi'] = _calc_dasha_sandhi(dasha_result, today_str)
|
||
except Exception as e:
|
||
report['errors'].append(f"dasha: {e}")
|
||
|
||
# ── Step 3: Yoga格局 ──
|
||
try:
|
||
yoga_planets = {}
|
||
for pn, pd in planets.items():
|
||
if isinstance(pd, dict) and 'sign' in pd and 'house' in pd:
|
||
yoga_planets[pn] = {'sign': pd['sign'], 'house': pd['house']}
|
||
yoga_result = cmd_yoga(type('Args', (), {
|
||
'ascendant': asc_sign,
|
||
'planets': ','.join([f"{k}:{v['sign']}:{v['house']}" for k, v in yoga_planets.items()])
|
||
})())
|
||
report['modules']['yoga'] = yoga_result
|
||
except Exception as e:
|
||
report['errors'].append(f"yoga: {e}")
|
||
|
||
# ── Step 4: BPHS十六分盘 ──
|
||
try:
|
||
sys.path.insert(0, SCRIPT_DIR)
|
||
from varga import calc_all_vargas
|
||
varga_result = calc_all_vargas(planet_lons, asc_deg, None) # None = 全部分盘
|
||
# 补充 D1_Rashi 到 varga_full（使用 chart 中的行星位置）
|
||
d1_data = {}
|
||
for pn, pd in planets.items():
|
||
if isinstance(pd, dict) and 'sign' in pd:
|
||
d1_data[pn] = {
|
||
"sign": pd["sign"],
|
||
"degree": pd.get("degree", 0),
|
||
"degree_in_sign": pd.get("degree_in_sign", pd.get("degree", 0) % 30),
|
||
"house": pd.get("house"),
|
||
"nakshatra": pd.get("nakshatra"),
|
||
"nakshatra_pada": pd.get("nakshatra_pada"),
|
||
}
|
||
if d1_data:
|
||
varga_result["D1_Rashi"] = d1_data
|
||
report['modules']['varga_full'] = varga_result
|
||
report['modules']['vargottama'] = _calc_vargottama(planets, varga_result)
|
||
report['modules']['pushkara'] = _calc_pushkara_flags(planets)
|
||
except Exception as e:
|
||
report['errors'].append(f"varga-full: {e}")
|
||
|
||
# ── Step 4.5: Vimsopaka Bala 分盘力量 (v4.4.0) ──
|
||
try:
|
||
from vimsopaka_calculator import VimsopakaBalaCalculator, VargaType as VimsVargaType, DignityLevel
|
||
vims_calc = VimsopakaBalaCalculator(mode="shodasavarga")
|
||
# 将 varga_result 转换为 Vimsopaka 所需的 planet_vargas 格式
|
||
# varga_result 结构: {varga_name: {planet: {sign, degree, ...}}}
|
||
# 需要转为: {planet: {VargaType: DignityLevel}}
|
||
dignity_map = {
|
||
'EXALTED': DignityLevel.EXALTED, 'MOOLATRIKONA': DignityLevel.MOOLATRIKONA,
|
||
'OWN_SIGN': DignityLevel.OWN_SIGN, 'FRIEND': DignityLevel.FRIEND,
|
||
'NEUTRAL': DignityLevel.NEUTRAL, 'ENEMY': DignityLevel.ENEMY,
|
||
'DEBILITATED': DignityLevel.DEBILITATED,
|
||
}
|
||
# 建立 VargaType → varga_result key 的映射（修复：每个分盘独立计算尊贵）
|
||
_vt_div = {VimsVargaType.D1:1, VimsVargaType.D2:2, VimsVargaType.D3:3,
|
||
VimsVargaType.D4:4, VimsVargaType.D7:7, VimsVargaType.D9:9,
|
||
VimsVargaType.D10:10, VimsVargaType.D12:12, VimsVargaType.D16:16,
|
||
VimsVargaType.D20:20, VimsVargaType.D24:24, VimsVargaType.D27:27,
|
||
VimsVargaType.D30:30, VimsVargaType.D40:40, VimsVargaType.D45:45,
|
||
VimsVargaType.D60:60}
|
||
_div_meta = {2:'Hora',3:'Drekkana',4:'Turyamsa',7:'Saptamsa',9:'Navamsa',
|
||
10:'Dasamsa',12:'Dwadashamsa',16:'Shodasamsa',20:'Vimsamsa',
|
||
24:'Siddhamsa',27:'Bhamsa',30:'Trimsamsa',40:'Khavedamsa',
|
||
45:'Akshavedamsa',60:'Shashtiamsa'}
|
||
planet_vargas_input = {}
|
||
for pn in planet_lons:
|
||
planet_vargas_input[pn] = {}
|
||
for vt in VimsVargaType:
|
||
div = _vt_div.get(vt)
|
||
if div and varga_result:
|
||
# 构造对应的 key，如 D9_Navamsa
|
||
vkey = f"D{div}_{_div_meta.get(div, f'D{div}')}"
|
||
vdata = varga_result.get(vkey, {})
|
||
# 使用 _get_dignity_level 计算完整5-fold尊贵（含Friend/Enemy）
|
||
# 不使用 _dignity 字典（只有 Exalted/Debilitated/Own Sign）
|
||
pinfo = vdata.get(pn, {})
|
||
if isinstance(pinfo, dict) and 'sign' in pinfo:
|
||
dl_key = _get_dignity_level(pn, pinfo['sign'],
|
||
pinfo.get('degree_in_sign', pinfo.get('degree', 0) % 30))
|
||
planet_vargas_input[pn][vt] = dignity_map.get(dl_key, DignityLevel.NEUTRAL)
|
||
elif div == 1:
|
||
# D1 直接用本命盘数据
|
||
p_sign = SIGNS[int(planet_lons.get(pn, 0) / 30) % 12]
|
||
d_in_s = planet_lons.get(pn, 0) % 30
|
||
dl_key = _get_dignity_level(pn, p_sign, d_in_s)
|
||
planet_vargas_input[pn][vt] = dignity_map.get(dl_key, DignityLevel.NEUTRAL)
|
||
else:
|
||
planet_vargas_input[pn][vt] = DignityLevel.NEUTRAL
|
||
elif div == 1 and not varga_result:
|
||
# fallback: D1 从 planet_lons 计算
|
||
p_sign = SIGNS[int(planet_lons.get(pn, 0) / 30) % 12]
|
||
d_in_s = planet_lons.get(pn, 0) % 30
|
||
dl_key = _get_dignity_level(pn, p_sign, d_in_s)
|
||
planet_vargas_input[pn][vt] = dignity_map.get(dl_key, DignityLevel.NEUTRAL)
|
||
else:
|
||
planet_vargas_input[pn][vt] = DignityLevel.NEUTRAL
|
||
vimsopaka_result = vims_calc.calculate_vimsopaka_bala(planet_vargas_input)
|
||
# 添加顶层汇总
|
||
if isinstance(vimsopaka_result, dict):
|
||
total_scores = []
|
||
for pn, pdata in vimsopaka_result.items():
|
||
if isinstance(pdata, dict) and 'total_score' in pdata:
|
||
total_scores.append(pdata['total_score'])
|
||
if total_scores:
|
||
avg_score = round(sum(total_scores) / len(total_scores), 2)
|
||
vimsopaka_result['total_score'] = avg_score
|
||
vimsopaka_result['total_score_max'] = 20.0
|
||
vimsopaka_result['status'] = '优秀' if avg_score >= 15 else '良好' if avg_score >= 10 else '一般' if avg_score >= 7 else '偏弱'
|
||
report['modules']['vimsopaka'] = vimsopaka_result
|
||
except Exception as e:
|
||
report['errors'].append(f"vimsopaka: {e}")
|
||
|
||
# ── Step 4.6: Divisional Charts Extended 扩展分盘 (v4.4.0) ──
|
||
try:
|
||
from divisional_charts_extended import DivisionalChartsCalculator
|
||
dc_calc = DivisionalChartsCalculator()
|
||
# 只计算 D5/D6/D8/D11（扩展分盘，与 Step 4 的标准分盘互补）
|
||
ext_vargas = dc_calc.calculate_all_vargas(planet_lons, asc_deg)
|
||
# 过滤只保留 Step 4 没有的分盘
|
||
ext_filtered = {k: v for k, v in ext_vargas.items()
|
||
if v.get('division') in [5, 6, 8, 11]}
|
||
report['modules']['varga_extended'] = ext_filtered
|
||
except Exception as e:
|
||
report['errors'].append(f"varga-extended: {e}")
|
||
|
||
# ── Step 5: 精确相位 ──
|
||
try:
|
||
from aspects import calc_all_aspects
|
||
aspects_result = calc_all_aspects(planet_lons, asc_deg)
|
||
report['modules']['aspects'] = aspects_result
|
||
except Exception as e:
|
||
report['errors'].append(f"aspects: {e}")
|
||
|
||
# ── Step 6: Jaimini系统 ──
|
||
try:
|
||
from jaimini import calc_chara_karaka_7, calc_chara_karaka_8, calc_chara_dasha, calc_karakamsha, calc_chara_dasha_with_antardasha
|
||
from varga import calc_varga
|
||
|
||
jaimini_result = {}
|
||
jaimini_result['chara_karaka_7'] = calc_chara_karaka_7(planet_degs)
|
||
jaimini_result['chara_karaka_8'] = calc_chara_karaka_8(planet_degs)
|
||
|
||
# Step 6+: Karaka JH Compatible Mode (v4.4.0)
|
||
try:
|
||
from karaka_calculator import KarakaCalculator, KarakaMode
|
||
kc_jh = KarakaCalculator(mode=KarakaMode.JH_COMPATIBLE)
|
||
jaimini_result['chara_karaka_jh'] = kc_jh.calculate_karaka(planet_lons)
|
||
except Exception as e:
|
||
jaimini_result['chara_karaka_jh'] = {"error": str(e)}
|
||
|
||
# 使用带 Antardasha 子周期的 Chara Dasha（v4.3.0；v6.0.9后标注为partial）
|
||
jaimini_result['chara_dasha'] = calc_chara_dasha_with_antardasha(asc_idx, planet_lons, args.year, args.month)
|
||
jaimini_result['has_antardasha'] = True
|
||
jaimini_result['chara_dasha_capability'] = {
|
||
'status': 'partial',
|
||
'reason': 'Round 7 vs PyJHora KN Rao matched 58/240 fields; current implementation is simplified, not full KN Rao/PVN Rao/Iranganti.',
|
||
'usage_rule': 'Use Chara Karaka/Karakamsha normally; use Chara Dasha timing only as low-weight corroboration.'
|
||
}
|
||
|
||
# Karakamsha（用AK灵魂星，非DK配偶星）
|
||
# ⚠️ 2026-05-03修正：此前错误使用DK，现已修正为AK
|
||
ck7 = jaimini_result['chara_karaka_7']
|
||
ak_name = ck7['karaka_table']['Atmakaraka']['planet']
|
||
ak_lon = planet_lons.get(ak_name, 0)
|
||
ak_d9 = calc_varga(ak_lon, 9)
|
||
jaimini_result['karakamsha'] = calc_karakamsha(
|
||
ak_d9.get('sign', 'Aries'), ak_d9.get('degree_in_sign', 0))
|
||
report['modules']['jaimini'] = jaimini_result
|
||
except Exception as e:
|
||
report['errors'].append(f"jaimini: {e}")
|
||
|
||
# ── Step 7: 高级Nakshatra ──
|
||
try:
|
||
from nakshatra_advanced import find_nakshatra, calc_all_tara_balas, calc_sub_lord
|
||
|
||
nak_result = {'planets': {}}
|
||
for pn, lon in planet_lons.items():
|
||
nak_result['planets'][pn] = find_nakshatra(lon)
|
||
moon_nak_idx = int(planet_lons.get('Moon', 0) / (360/27)) % 27
|
||
nak_result['tara_bala'] = calc_all_tara_balas(moon_nak_idx, planet_lons)
|
||
nak_result['sub_lords'] = {pn: calc_sub_lord(lon) for pn, lon in planet_lons.items()}
|
||
report['modules']['nakshatra_advanced'] = nak_result
|
||
except Exception as e:
|
||
report['errors'].append(f"nakshatra-adv: {e}")
|
||
|
||
# ── Step 8: Argala门闩 ──
|
||
try:
|
||
from argala import calc_argala
|
||
report['modules']['argala'] = calc_argala(planet_sign_indices, asc_idx)
|
||
except Exception as e:
|
||
report['errors'].append(f"argala: {e}")
|
||
|
||
# ── Step 9: Tajika年运盘（需要年龄） ──
|
||
age = args.age
|
||
if age is None:
|
||
# 自动计算年龄
|
||
try:
|
||
birth_date = datetime(args.year, args.month, args.day)
|
||
age = (datetime.now() - birth_date).days // 365
|
||
report['warnings'].append(f"未提供年龄，自动计算为 {age} 岁")
|
||
except:
|
||
age = None
|
||
|
||
if age is not None:
|
||
try:
|
||
from tajika import calc_muntha, calc_year_lord, calc_mudda_dasha, calc_tri_pataka
|
||
asc_si = int(asc_deg / 30) % 12
|
||
tajika_result = {}
|
||
tajika_result['muntha'] = calc_muntha(asc_si, age)
|
||
yl = calc_year_lord(asc_si, age)
|
||
tajika_result['year_lord'] = yl
|
||
varsha_lord = yl.get('year_lord', 'Jupiter')
|
||
tajika_result['mudda_dasha'] = calc_mudda_dasha(asc_si, varsha_lord, args.month)
|
||
muntha_si = (asc_si + age) % 12
|
||
tajika_result['tri_pataka'] = calc_tri_pataka(planet_lons, varsha_lord, muntha_si)
|
||
report['modules']['tajika'] = tajika_result
|
||
except Exception as e:
|
||
report['errors'].append(f"tajika: {e}")
|
||
|
||
# ── Step 10: Shadbala六重力量 ──
|
||
try:
|
||
from shadbala import calc_shadbala
|
||
birth_hour = args.hour + args.minute / 60.0
|
||
sun_lon = planet_lons.get('Sun', 0)
|
||
moon_lon = planet_lons.get('Moon', 0)
|
||
shadbala_result = calc_shadbala(planets, asc_sign, birth_hour, sun_lon, moon_lon)
|
||
# 添加顶层汇总
|
||
if isinstance(shadbala_result, dict):
|
||
sb_planets = shadbala_result.get('planets', {})
|
||
total_rupas = 0
|
||
min_req_total = 0
|
||
strong_count = 0
|
||
for pn, pdata in sb_planets.items():
|
||
if isinstance(pdata, dict):
|
||
total_rupas += pdata.get('total_rupas', 0)
|
||
min_req_total += pdata.get('min_required', 0)
|
||
if pdata.get('total_rupas', 0) >= pdata.get('min_required', 0):
|
||
strong_count += 1
|
||
shadbala_result['total_shadbala'] = round(total_rupas, 2)
|
||
shadbala_result['total_min_required'] = round(min_req_total, 2)
|
||
shadbala_result['strong_planets'] = strong_count
|
||
shadbala_result['weak_planets'] = len(sb_planets) - strong_count
|
||
shadbala_result['status'] = '优秀' if strong_count >= 5 else '良好' if strong_count >= 3 else '一般'
|
||
report['modules']['shadbala'] = shadbala_result
|
||
except Exception as e:
|
||
report['errors'].append(f"shadbala: {e}")
|
||
|
||
# ── Step 10.5: Avasthas 行星状态 (v4.4.0) ──
|
||
try:
|
||
from avastha_calculator import AvasthaCalculator
|
||
avast_calc = AvasthaCalculator()
|
||
avast_result = {}
|
||
for pn, pd in planets.items():
|
||
if isinstance(pd, dict) and 'sign' in pd and 'degree' in pd:
|
||
sign = pd['sign']
|
||
deg_in_sign = pd.get('degree_in_sign', pd['degree'] % 30)
|
||
house = pd.get('house', 0)
|
||
# 收集同宫行星作为 conjunctions
|
||
conjunctions = [p2 for p2, pd2 in planets.items()
|
||
if isinstance(pd2, dict) and pd2.get('house') == house and p2 != pn]
|
||
avast_result[pn] = avast_calc.calculate_all_avasthas(
|
||
planet=pn, sign=sign, degree=deg_in_sign,
|
||
house=house, conjunctions=conjunctions)
|
||
report['modules']['avasthas'] = avast_result
|
||
except Exception as e:
|
||
report['errors'].append(f"avasthas: {e}")
|
||
|
||
# ── Step 11: Ashtakavarga八分法 ──
|
||
asht_data = None
|
||
try:
|
||
from ashtakavarga import calc_ashtakavarga
|
||
asht_data = calc_ashtakavarga(planets, asc_idx)
|
||
report['modules']['ashtakavarga'] = asht_data
|
||
except Exception as e:
|
||
report['errors'].append(f"ashtakavarga: {e}")
|
||
|
||
# ── Step 12: R1-R10数学验证 ──
|
||
try:
|
||
from validate import validate_chart
|
||
report['modules']['validation'] = validate_chart(chart, asht_data)
|
||
except Exception as e:
|
||
report['errors'].append(f"validate: {e}")
|
||
|
||
# ── Step 13: P1-P12行星审计 ──
|
||
try:
|
||
audit_result = cmd_audit(args)
|
||
report['modules']['audit'] = audit_result
|
||
except Exception as e:
|
||
report['errors'].append(f"audit: {e}")
|
||
|
||
# ── Step 14: ⭐ Transit Actionable Context (v4.1.0) ──
|
||
try:
|
||
actionable_ctx = _calc_actionable_context(planets, asc_idx)
|
||
report['modules']['actionable_context'] = actionable_ctx
|
||
except Exception as e:
|
||
report['errors'].append(f"actionable-context: {e}")
|
||
|
||
# ── Step 15: Planetary Congregation 行星聚集 (v4.3.0) ──
|
||
try:
|
||
congregation = _calc_planetary_congregation(planets, asc_idx)
|
||
report['modules']['congregation'] = congregation
|
||
except Exception as e:
|
||
report['errors'].append(f"congregation: {e}")
|
||
|
||
# ── Step 16: Vivah Saham 婚姻敏感点 (v4.3.0) ──
|
||
try:
|
||
sahams = _calc_vivah_saham(planets, asc_deg)
|
||
# 包装为标准结构，与 standalone vivah-saham 子命令一致
|
||
if 'error' not in sahams:
|
||
report['modules']['vivah_saham'] = {
|
||
'vivah_saham': {
|
||
'longitude': sahams['saham_lon'],
|
||
'sign': sahams['saham_sign'],
|
||
'degree_in_sign': sahams['saham_deg_in_sign'],
|
||
'house': sahams['saham_house'],
|
||
},
|
||
**sahams
|
||
}
|
||
else:
|
||
report['modules']['vivah_saham'] = sahams
|
||
except Exception as e:
|
||
report['errors'].append(f"vivah-saham: {e}")
|
||
|
||
# ── Step 17: Transit 多参考点分析 (v6.0.10 true transit) ──
|
||
try:
|
||
transit_reference_date = getattr(args, 'transit_date', None) or getattr(args, 'today', None) or datetime.now().strftime('%Y-%m-%d')
|
||
ty, tm, td = map(int, transit_reference_date.split('-'))
|
||
transit_jd = swe.julday(ty, tm, td, 12.0 - args.tz)
|
||
transit_planets, transit_ayanamsa = _calc_sidereal_planets_for_jd(transit_jd, node_mode=getattr(args, 'node_mode', 'mean'), include_ketu=True)
|
||
report['modules']['transit_positions'] = {
|
||
'method': 'Swiss Ephemeris true transit positions',
|
||
'target_date': transit_reference_date,
|
||
'ayanamsa': round(transit_ayanamsa, 4) if transit_ayanamsa is not None else None,
|
||
'node_mode': getattr(args, 'node_mode', 'mean'),
|
||
'data_layer': 'true_transit_positions',
|
||
'planets': transit_planets,
|
||
}
|
||
transit_multi = _calc_transit_multi_reference(planets, asc_idx, asc_deg, planet_lons, transit_planets=transit_planets, transit_date=transit_reference_date, node_mode=getattr(args, 'node_mode', 'mean'))
|
||
report['modules']['transit_multi_reference'] = transit_multi
|
||
except Exception as e:
|
||
report['errors'].append(f"transit-multi-ref: {e}")
|
||
|
||
# ── Step 18: Dasa Convergence 三系统交叉验证 (v4.5.0 P1) ──
|
||
try:
|
||
dasha_data = report['modules'].get('dasha', {})
|
||
jaimini_data = report['modules'].get('jaimini', {})
|
||
chara_dasha_data = jaimini_data.get('chara_dasha', {}) if isinstance(jaimini_data, dict) else {}
|
||
birthdate_str = f"{args.year}-{args.month:02d}-{args.day:02d}"
|
||
yogini_data = _calc_yogini_dasha(planet_lons.get('Moon', 0), birthdate_str)
|
||
report['modules']['yogini_dasha'] = yogini_data
|
||
convergence = _calc_dasa_convergence(dasha_data, chara_dasha_data, yogini_data, planet_lons, asc_idx)
|
||
report['modules']['dasa_convergence'] = convergence
|
||
except Exception as e:
|
||
report['errors'].append(f"dasa-convergence: {e}")
|
||
|
||
# ── Step 19: D9 Navamsa 逐行星尊严展开 (v4.5.0 P1) ──
|
||
try:
|
||
varga_data = report['modules'].get('varga_full', {})
|
||
d9_data = varga_data.get('D9_Navamsa', {}) if isinstance(varga_data, dict) else {}
|
||
if d9_data:
|
||
d9_expanded = {}
|
||
for pn, pd in d9_data.items():
|
||
if pn == '_meta' or not isinstance(pd, dict) or 'sign' not in pd:
|
||
continue
|
||
d9_sign = pd['sign']
|
||
d9_deg = pd.get('degree_in_sign', pd.get('degree', 0) % 30)
|
||
dignity = _get_dignity_level(pn, d9_sign, d9_deg)
|
||
# D9 宫位（从D9 Asc计算）
|
||
d9_asc_data = d9_data.get('Ascendant', {})
|
||
d9_asc_sign_idx = SIGNS.index(d9_asc_data.get('sign', 'Aries')) if isinstance(d9_asc_data, dict) and d9_asc_data.get('sign') in SIGNS else 0
|
||
p_sign_idx = SIGNS.index(d9_sign) if d9_sign in SIGNS else 0
|
||
d9_house = ((p_sign_idx - d9_asc_sign_idx) % 12) + 1
|
||
# 关系状态
|
||
d9_sign_lord = SIGN_LORDS.get(d9_sign, '')
|
||
is_own = (d9_sign_lord == pn)
|
||
is_exalted = (EXALTATION.get(pn) == d9_sign)
|
||
is_debilitated = (DEBILITATION.get(pn) == d9_sign)
|
||
is_moola = False
|
||
if pn in MOOLATRIKONA:
|
||
mt_sign, mt_start, mt_end = MOOLATRIKONA[pn]
|
||
if mt_sign == d9_sign and mt_start <= d9_deg < mt_end:
|
||
is_moola = True
|
||
d9_expanded[pn] = {
|
||
'sign': d9_sign,
|
||
'sign_cn': SIGNS_CN.get(d9_sign, ''),
|
||
'house_in_d9': d9_house,
|
||
'dignity': dignity,
|
||
'is_own_sign': is_own,
|
||
'is_exalted': is_exalted,
|
||
'is_debilitated': is_debilitated,
|
||
'is_moolatrikona': is_moola,
|
||
'pada': pd.get('pada'),
|
||
'lord': d9_sign_lord,
|
||
'degree_in_sign': round(d9_deg, 4),
|
||
}
|
||
report['modules']['d9_navamsa_expanded'] = d9_expanded
|
||
except Exception as e:
|
||
report['errors'].append(f"d9-expanded: {e}")
|
||
|
||
# ── 汇总 ──
|
||
elapsed = round(time.time() - t0, 2)
|
||
module_count = len(report['modules'])
|
||
error_count = len(report['errors'])
|
||
report['summary'] = {
|
||
'elapsed_seconds': elapsed,
|
||
'modules_computed': module_count,
|
||
'errors': error_count,
|
||
'status': 'complete' if error_count == 0 else f'{error_count} errors',
|
||
'next_step': '⭐ v4.5.0: P1缺口已补齐。新增 transit_multi_reference(四参考点) + dasa_convergence(三系统交叉) + yogini_dasha + d9_navamsa_expanded(逐行星尊严展开)。AI必须使用四参考点分析Transit，Dasa预测必须标注收敛等级。',
|
||
}
|
||
|
||
return report
|
||
|
||
|
||
# ============================================================================
|
||
# 23. Prashna 问事占星 (v3.9新增)
|
||
# ============================================================================
|
||
def cmd_prashna(args):
|
||
"""Prashna 问事占星：基于提问时刻的即时星盘分析"""
|
||
try:
|
||
from prashna import cast_prashna, calc_arudha, calc_sphutas, calc_life_sphutas, calc_sahams, analyze_lost_item, kunda_verify, calc_gulika_simple
|
||
except ImportError:
|
||
# 尝试从同目录导入
|
||
import importlib.util, os
|
||
spec = importlib.util.spec_from_file_location("prashna", os.path.join(os.path.dirname(__file__), "prashna.py"))
|
||
prashna_mod = importlib.util.module_from_spec(spec)
|
||
spec.loader.exec_module(prashna_mod)
|
||
cast_prashna = prashna_mod.cast_prashna
|
||
calc_arudha = prashna_mod.calc_arudha
|
||
calc_sphutas = prashna_mod.calc_sphutas
|
||
calc_life_sphutas = prashna_mod.calc_life_sphutas
|
||
calc_sahams = prashna_mod.calc_sahams
|
||
analyze_lost_item = prashna_mod.analyze_lost_item
|
||
kunda_verify = prashna_mod.kunda_verify
|
||
calc_gulika_simple = prashna_mod.calc_gulika_simple
|
||
|
||
if args.mode == 'chart':
|
||
return cast_prashna(args.datetime, args.lat, args.lon)
|
||
|
||
# 其他模式需要先铸盘获取行星位置
|
||
chart = cast_prashna(args.datetime, args.lat, args.lon)
|
||
if 'error' in chart:
|
||
return chart
|
||
|
||
asc_lon = chart['ascendant']['lon']
|
||
p_lons = {n: d['lon'] for n, d in chart['planets'].items()}
|
||
|
||
if args.mode == 'arudha':
|
||
return {'arudha_lagna': calc_arudha(asc_lon, p_lons),
|
||
'ascendant': chart['ascendant']}
|
||
elif args.mode == 'sphutas':
|
||
return calc_sphutas(p_lons, 0)
|
||
elif args.mode == 'sahams':
|
||
return calc_sahams(p_lons, asc_lon)
|
||
elif args.mode == 'lost-item':
|
||
return analyze_lost_item(p_lons, asc_lon)
|
||
elif args.mode == 'life':
|
||
return calc_life_sphutas(asc_lon, p_lons.get('Moon',0), p_lons.get('Sun',0), 0)
|
||
elif args.mode == 'kunda':
|
||
return kunda_verify(asc_lon)
|
||
else:
|
||
return cast_prashna(args.datetime, args.lat, args.lon)
|
||
|
||
|
||
# ============================================================================
|
||
# CLI入口
|
||
# ============================================================================
|
||
def main():
|
||
parser = argparse.ArgumentParser(description='印度占星统一引擎 v3.7.0', formatter_class=argparse.RawDescriptionHelpFormatter)
|
||
sub = parser.add_subparsers(dest='command', help='子命令')
|
||
|
||
# 1. chart
|
||
p = sub.add_parser('chart', help='计算完整星盘')
|
||
_add_chart_args(p)
|
||
p.add_argument('--validate', action='store_true', help='附加R1-R10数学验证')
|
||
|
||
# 2. dasha
|
||
p = sub.add_parser('dasha', help='计算Dasha大运')
|
||
p.add_argument('--nakshatra', default=None); p.add_argument('--pada', type=int, default=None)
|
||
p.add_argument('--moon-lon', type=float, default=None); p.add_argument('--birthdate', required=True)
|
||
p.add_argument('--today', default=None)
|
||
|
||
# 3. yoga
|
||
p = sub.add_parser('yoga', help='Yoga格局识别')
|
||
p.add_argument('--ascendant', default=None)
|
||
p.add_argument('--planets', default=None, help="格式: 'Sun:Aries:9,Moon:Aquarius:7,...'")
|
||
|
||
# 4. predict
|
||
p = sub.add_parser('predict', help='三层验证法事件预测')
|
||
p.add_argument('--chart', default=None, help='星盘JSON字符串')
|
||
p.add_argument('--event-type', default='all', choices=['all', 'marriage', 'career', 'wealth', 'health'])
|
||
p.add_argument('--past-verify', action='store_true', help='验前事模式：推断2-4个高信号历史时段')
|
||
p.add_argument('--year', type=int, default=None, help='出生年（验前事模式需要）')
|
||
p.add_argument('--month', type=int, default=None, help='出生月')
|
||
p.add_argument('--day', type=int, default=None, help='出生日')
|
||
p.add_argument('--hour', type=int, default=None, help='出生时')
|
||
p.add_argument('--minute', type=int, default=None, help='出生分')
|
||
p.add_argument('--lat', type=float, default=None, help='纬度')
|
||
p.add_argument('--lon', type=float, default=None, help='经度')
|
||
p.add_argument('--tz', type=float, default=0, help='时区')
|
||
|
||
# 5. varga
|
||
p = sub.add_parser('varga', help='分盘计算')
|
||
_add_chart_args(p)
|
||
p.add_argument('--d9', action='store_true'); p.add_argument('--d10', action='store_true')
|
||
p.add_argument('--all', action='store_true')
|
||
|
||
# 6. celebrity
|
||
p = sub.add_parser('celebrity', help='名人案例查询')
|
||
p.add_argument('--name', default=None); p.add_argument('--limit', type=int, default=20)
|
||
|
||
# 7. db-stats
|
||
sub.add_parser('db-stats', help='验证数据库统计')
|
||
|
||
# 8. transit
|
||
p = sub.add_parser('transit', help='行星过境查询（Swiss Ephemeris实时计算）')
|
||
p.add_argument('--year', type=int, required=True); p.add_argument('--month', type=int, required=True)
|
||
p.add_argument('--day', type=int, default=15, help='指定日期（默认15日取月中代表）')
|
||
p.add_argument('--planet', default=None, help='目标行星，逗号分隔（默认全部，如：Jupiter,Saturn）')
|
||
p.add_argument('--tz', type=float, default=8, help='时区（默认UTC+8）')
|
||
p.add_argument('--node-mode', default='mean', choices=['mean', 'true'], help='Rahu/Ketu节点口径：mean=Mean Node（默认），true=True Node')
|
||
|
||
# 9. shadbala (v3.4新增)
|
||
p = sub.add_parser('shadbala', help='Shadbala六重力量计算（内部一致；外部绝对值校准前partial）')
|
||
_add_chart_args(p)
|
||
|
||
# 10. ashtakavarga (v3.4新增)
|
||
p = sub.add_parser('ashtakavarga', help='Ashtakavarga八分法计算')
|
||
_add_chart_args(p)
|
||
|
||
# 11. memory (v3.4新增)
|
||
p = sub.add_parser('memory', help='Hermes记忆系统')
|
||
p.add_argument('--action', default='stats', choices=['store', 'search', 'context', 'stats'])
|
||
p.add_argument('--content', default=None, help='存储内容（store操作必填）')
|
||
p.add_argument('--query', default=None, help='搜索查询（search操作必填）')
|
||
p.add_argument('--tags', default=None, help='标签，逗号分隔')
|
||
p.add_argument('--importance', type=int, default=5, help='重要性 1-10')
|
||
p.add_argument('--limit', type=int, default=10, help='搜索结果数量')
|
||
|
||
# 12. validate (v3.5新增)
|
||
p = sub.add_parser('validate', help='R1-R10数学验证')
|
||
_add_chart_args(p)
|
||
|
||
# 13. audit (v3.5新增)
|
||
p = sub.add_parser('audit', help='P1-P12行星审计管线')
|
||
_add_chart_args(p)
|
||
|
||
# 14. report (v3.6新增)
|
||
p = sub.add_parser('report', help='MD→HTML报告生成（羊皮纸主题）')
|
||
p.add_argument('folder', help='包含MD文件的目录路径')
|
||
p.add_argument('--name', default='Client', help='客户姓名')
|
||
p.add_argument('--lagna', default='—', help='上升星座')
|
||
p.add_argument('--gender', default='—', help='性别')
|
||
p.add_argument('--status', default='—', help='当前状态')
|
||
p.add_argument('--lang', default='cn', choices=['cn', 'en'], help='语言 (默认cn)')
|
||
p.add_argument('--output', default=None, help='输出HTML路径')
|
||
|
||
# 15. varga-full (v3.7新增)
|
||
p = sub.add_parser('varga-full', help='BPHS十六分盘完整计算')
|
||
_add_chart_args(p)
|
||
p.add_argument('--divisions', default=None, help='指定分盘，逗号分隔(如 D2,D9,D60)，空=全部')
|
||
|
||
# 16. aspects (v3.7新增)
|
||
p = sub.add_parser('aspects', help='度数精确相位系统')
|
||
_add_chart_args(p)
|
||
|
||
# 17. jaimini (v3.7新增)
|
||
p = sub.add_parser('jaimini', help='Jaimini系统（Chara Karaka/Dasha/Karakamsha）')
|
||
_add_chart_args(p)
|
||
p.add_argument('--mode', default='all', choices=['all','karaka','dasha','karakamsha'], help='分析模式')
|
||
p.add_argument('--antardasha', action='store_true', help='Chara Dasha含Antardasha子周期（当前timing实现为partial）')
|
||
|
||
# 18. nakshatra-adv (v3.7新增)
|
||
p = sub.add_parser('nakshatra-adv', help='高级Nakshatra分析')
|
||
_add_chart_args(p)
|
||
p.add_argument('--mode', default='all', choices=['all','detail','tara','sublord'], help='分析模式')
|
||
|
||
# 19. argala (v3.7新增)
|
||
p = sub.add_parser('argala', help='Argala门闩系统')
|
||
_add_chart_args(p)
|
||
|
||
# 20. tajika (v3.7新增)
|
||
p = sub.add_parser('tajika', help='Tajika/Varshaphala年运盘')
|
||
_add_chart_args(p)
|
||
p.add_argument('--age', type=int, required=True, help='当前年龄')
|
||
p.add_argument('--mode', default='all', choices=['all','muntha','yearlord','mudda','tripataka'], help='分析模式')
|
||
|
||
# 21. synastry (v3.7新增)
|
||
p = sub.add_parser('synastry', help='合盘分析（Ashta Koota 36分制）')
|
||
p.add_argument('--moon1', type=float, required=True, help='Person1月亮黄经')
|
||
p.add_argument('--moon2', type=float, required=True, help='Person2月亮黄经')
|
||
p.add_argument('--mars1', type=float, default=None, help='Person1火星黄经')
|
||
p.add_argument('--mars2', type=float, default=None, help='Person2火星黄经')
|
||
p.add_argument('--asc1', type=float, default=None, help='Person1上升黄经')
|
||
p.add_argument('--asc2', type=float, default=None, help='Person2上升黄经')
|
||
p.add_argument('--gender1', default='M', help='Person1性别')
|
||
p.add_argument('--gender2', default='F', help='Person2性别')
|
||
|
||
# 22. full-reading (v3.7.1新增)
|
||
p = sub.add_parser('full-reading', help='全自动综合解盘（出生信息→全链路→完整报告）')
|
||
_add_chart_args(p)
|
||
p.add_argument('--age', type=int, default=None, help='当前年龄（不提供则自动计算）')
|
||
p.add_argument('--today', default=None, help='Dasha/Sandhi参考日期 YYYY-MM-DD（默认今天）')
|
||
p.add_argument('--transit-date', default=None, help='Transit真实过境参考日期 YYYY-MM-DD（默认跟随--today或今天）')
|
||
|
||
# 23. prashna (v3.9新增)
|
||
p = sub.add_parser('prashna', help='Prashna问事占星（提问时刻星盘+Arudha+Sphuta+Sahams）')
|
||
p.add_argument('--datetime', required=True, help='提问时间 YYYY-MM-DD HH:MM')
|
||
p.add_argument('--lat', type=float, required=True, help='纬度')
|
||
p.add_argument('--lon', type=float, required=True, help='经度')
|
||
p.add_argument('--mode', default='chart', choices=['chart','arudha','sphutas','sahams','lost-item','life','kunda'], help='分析模式')
|
||
|
||
# 24. double-transit-pac (v3.9新增)
|
||
p = sub.add_parser('double-transit-pac', help='Double Transit PAC + D9层（KN Rao完整实现）')
|
||
_add_chart_args(p)
|
||
p.add_argument('--date', required=True, help='过境日期 YYYY-MM-DD')
|
||
p.add_argument('--house', type=int, default=7, help='目标宫位（默认7=婚姻）')
|
||
|
||
# 25. transit-ll7l (v3.9新增)
|
||
p = sub.add_parser('transit-ll7l', help='Transit LL/7L连接+互换检测')
|
||
_add_chart_args(p)
|
||
p.add_argument('--date', required=True, help='过境日期 YYYY-MM-DD')
|
||
|
||
# 26. planetary-congregation (v3.9新增)
|
||
p = sub.add_parser('planetary-congregation', help='行星聚集检测（Lagna/7H+Transit）')
|
||
_add_chart_args(p)
|
||
p.add_argument('--house', type=int, default=7, help='目标宫位')
|
||
p.add_argument('--transit-date', default=None, help='过境日期 YYYY-MM-DD（可选）')
|
||
|
||
# 27. vivah-saham (v3.9新增)
|
||
p = sub.add_parser('vivah-saham', help='Vivah Saham计算+Transit激活')
|
||
_add_chart_args(p)
|
||
p.add_argument('--transit-date', default=None, help='过境日期 YYYY-MM-DD（可选）')
|
||
|
||
# 28. audit-capabilities (v6.0.3新增)
|
||
p = sub.add_parser('audit-capabilities', help='校验 technique registry 并输出能力覆盖审计')
|
||
p.add_argument('--registry', default=None, help='technique_registry.json 路径（默认 references/technique_registry.json）')
|
||
p.add_argument('--mode', default='validate', choices=['validate', 'table'], help='validate=校验注册表；table=输出路由审计表')
|
||
p.add_argument('--route', default=None, help='table模式下的 route id，如 career_timing_strict')
|
||
|
||
args = parser.parse_args()
|
||
if not args.command:
|
||
parser.print_help(); sys.exit(1)
|
||
|
||
cmds = {'chart': cmd_chart, 'dasha': cmd_dasha, 'yoga': cmd_yoga, 'predict': cmd_predict,
|
||
'varga': cmd_varga, 'celebrity': cmd_celebrity, 'db-stats': cmd_db_stats, 'transit': cmd_transit,
|
||
'shadbala': cmd_shadbala, 'ashtakavarga': cmd_ashtakavarga, 'memory': cmd_memory,
|
||
'validate': cmd_validate, 'audit': cmd_audit, 'report': cmd_report,
|
||
'varga-full': cmd_varga_full, 'aspects': cmd_aspects, 'jaimini': cmd_jaimini,
|
||
'nakshatra-adv': cmd_nakshatra_adv, 'argala': cmd_argala, 'tajika': cmd_tajika,
|
||
'synastry': cmd_synastry, 'full-reading': cmd_full_reading, 'prashna': cmd_prashna,
|
||
'double-transit-pac': cmd_double_transit_pac,
|
||
'transit-ll7l': cmd_transit_ll7l, 'planetary-congregation': cmd_planetary_congregation,
|
||
'vivah-saham': cmd_vivah_saham}
|
||
if args.command == 'audit-capabilities':
|
||
from audit_capabilities import build_audit_table, load_registry, validate_registry
|
||
registry = load_registry(args.registry) if args.registry else load_registry()
|
||
result = validate_registry(registry) if args.mode == 'validate' else build_audit_table(registry, args.route)
|
||
output_json(result)
|
||
sys.exit(0 if result.get('valid', True) else 1)
|
||
result = cmds[args.command](args)
|
||
output_json(result)
|
||
|
||
|
||
if __name__ == '__main__':
|
||
main()
|