732642856
0d44b9b43f
变更概要： - scripts/solar_return.py（新）：太阳返照盘核心计算（二分法求精确UT时刻） - scripts/cmd_solar_return.py（新）：solar-return 子命令 - scripts/jyotish_engine.py：新增 Step 4.12 + cmd_solar_return 注册 + --target-year 参数 - references/technique_registry.json：muntha→covered，新增 solar_return（covered） - CHANGELOG.md：新增 v6.0.18 条目 - SKILL.md：版本 6.0.18 已知限制（待修复）： - swisseph 不可用时，calc_solar_return_chart 报错导致 solar_return_full_report 提前返回，Muntha 计算被跳过。 - 修复方向：将 calc_solar_return_chart 拆为 UT 计算（近似算法可用）和 chart 计算两步，chart 失败时不中断 Muntha 计算。
557 lines
21 KiB
Python
557 lines
21 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Solar Return (太阳返照盘 / Varshaphala) 计算模块
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Jyotish Vedic Astrology Skill — v6.0.18
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功能:
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1. find_solar_return_ut() — 计算太阳返照精确 UT 时刻
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2. calc_solar_return_chart() — 生成完整的太阳返照盘（调用 engine 的 compute_chart_data）
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3. solar_return_full_report() — 太阳返照盘完整报告（整合 Muntha / Year Lord / Tajika Yogas）
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依赖:
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- swisseph（高精度天文计算，可选）
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- 若 swisseph 不可用，使用近似算法（误差 ±1 天以内）
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"""
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from typing import Dict, Optional, Tuple, List
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from datetime import datetime, timedelta
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import math
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import sys
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import os
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# ── swisseph 可用性检测 ─────────────────────────────────────────────
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try:
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import swisseph as swe
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swe.set_sid_mode(swe.SIDM_LAHIRI)
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HAS_SWE = True
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except ImportError:
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HAS_SWE = False
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# ── 常量 ──────────────────────────────────────────────────────────
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SIGNS = ['Aries','Taurus','Gemini','Cancer','Leo','Virgo',
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'Libra','Scorpio','Sagittarius','Capricorn','Aquarius','Pisces']
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SIGN_LORDS = {'Aries':'Mars','Taurus':'Venus','Gemini':'Mercury','Cancer':'Moon',
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'Leo':'Sun','Virgo':'Mercury','Libra':'Venus','Scorpio':'Mars',
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'Sagittarius':'Jupiter','Capricorn':'Saturn','Aquarius':'Saturn','Pisces':'Jupiter'}
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# =========================================================================
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# 工具函数
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# =========================================================================
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def _jd_to_datetime(jd_ut: float) -> datetime:
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"""Julian Day (UT) → datetime (UTC)"""
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# 使用 swisseph 的辅助函数，或手动转换
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if HAS_SWE:
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# swe.revjul 返回 (year, month, day, hour, minute, second)
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y, m, d, h, mn, s = swe.revjul(jd_ut, swe.GREG_FLAG)
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return datetime(y, m, d, h, int(mn), int(s))
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else:
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# 近似：JD 2440587.5 = 1970-01-01 00:00:00 UT
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jd_unix = jd_ut - 2440587.5
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ts = int(jd_unix * 86400)
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return datetime(1970, 1, 1) + timedelta(seconds=ts)
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def _datetime_to_jd_ut(dt: datetime) -> float:
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"""datetime (UTC) → Julian Day (UT)"""
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if HAS_SWE:
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return swe.julday(dt.year, dt.month, dt.day,
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dt.hour + dt.minute/60.0 + dt.second/3600.0,
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swe.GREG_FLAG)
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else:
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# 近似
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unix_sec = int((dt - datetime(1970, 1, 1)).total_seconds())
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return 2440587.5 + unix_sec / 86400.0
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def _get_sun_lon_jd(jd_ut: float) -> Optional[float]:
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"""计算给定 JD (UT) 的太阳恒星黄经（Lahiri）"""
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if not HAS_SWE:
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return None
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try:
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# FLG_SIDEREAL = 返回恒星坐标（ayanamsa 由 set_sid_mode 设定）
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res = swe.calc_ut(jd_ut, swe.SUN, swe.FLG_SIDEREAL)
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return res[0] # longitude in degrees (0-360)
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except Exception:
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return None
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# =========================================================================
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# 核心：计算太阳返照精确时刻
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# =========================================================================
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def find_solar_return_ut(
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birth_jd_ut: float,
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birth_sun_lon: float,
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target_year: int,
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lat: float = 0.0,
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lon: float = 0.0,
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tz: float = 0.0,
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max_iter: int = 30,
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tol_deg: float = 0.0003, # ~1 arcsec
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) -> Dict:
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"""
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计算太阳返照（Solar Return）精确 UT 时刻。
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参数:
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birth_jd_ut: 出生时刻 JD (UT)
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birth_sun_lon: 出生太阳恒星黄经 (0-360)
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target_year: 目标年份（计算该年的太阳返照）
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lat, lon, tz: 出生地点（仅用于近似计算，精确计算不需要）
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max_iter: 最大迭代次数
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tol_deg: 收敛精度（度）
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返回:
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dict: {
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'jd_ut': float, # 太阳返照时刻 JD (UT)
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'dt_ut': datetime, # 太阳返照 UTC 时间
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'dt_local': datetime, # 太阳返照本地时间（近似）
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'sun_lon': float, # 返照时太阳经度（应≈birth_sun_lon）
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'error_deg': float, # 太阳经度误差（度）
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'iterations': int, # 实际迭代次数
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'method': str, # 'swisseph' or 'approximation'
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'note': str,
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}
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"""
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if HAS_SWE:
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return _find_solar_return_swe(birth_jd_ut, birth_sun_lon, target_year,
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max_iter, tol_deg)
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else:
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return _find_solar_return_approx(birth_jd_ut, birth_sun_lon, target_year, tz)
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def _find_solar_return_swe(
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birth_jd_ut: float,
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birth_sun_lon: float,
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target_year: int,
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max_iter: int,
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tol_deg: float,
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) -> Dict:
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"""使用 swisseph 精确计算太阳返照时刻（Newton 迭代法）"""
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# 近似起始点：出生日期在目标年份的同一天
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birth_dt = _jd_to_datetime(birth_jd_ut)
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try:
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approx_dt = datetime(target_year, birth_dt.month, birth_dt.day, 12, 0, 0)
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except ValueError:
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# 出生是 2月29日 等特殊情况
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approx_dt = datetime(target_year, birth_dt.month, 1, 12, 0, 0)
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jd_guess = _datetime_to_jd_ut(approx_dt)
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prev_diff = None
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for i in range(max_iter):
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sun_lon = _get_sun_lon_jd(jd_guess)
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if sun_lon is None:
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return {'error': 'swisseph calc_ut failed', 'method': 'swisseph_failed'}
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diff = (sun_lon - birth_sun_lon + 180.0) % 360.0 - 180.0 # -180..180
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if abs(diff) < tol_deg:
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# 收敛
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dt_ut = _jd_to_datetime(jd_guess)
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return {
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'jd_ut': jd_guess,
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'dt_ut': dt_ut,
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'dt_local': dt_ut, # 调用方另行加 tz
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'sun_lon': sun_lon,
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'error_deg': abs(diff),
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'iterations': i + 1,
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'method': 'swisseph_newton',
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'note': f'Newton迭代 {i+1} 步收敛，误差 {abs(diff)*3600:.1f}"',
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}
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# Newton 步：sun 速度 ~1°/天，步长 = -diff（天）
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# 更精确：用瞬时速度（下一小时的速度）
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jd_next = jd_guess + 1.0 / 24.0
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sun_lon_next = _get_sun_lon_jd(jd_next)
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if sun_lon_next is not None:
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speed = (sun_lon_next - sun_lon) * 24.0 # °/day
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if abs(speed) > 0.01:
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step = -diff / speed # days
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else:
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step = -diff # fallback
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else:
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step = -diff
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jd_guess += step
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prev_diff = diff
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# 未收敛：返回当前最佳估计
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dt_ut = _jd_to_datetime(jd_guess)
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sun_lon = _get_sun_lon_jd(jd_guess)
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return {
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'jd_ut': jd_guess,
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'dt_ut': dt_ut,
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'dt_local': dt_ut,
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'sun_lon': sun_lon,
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'error_deg': abs((sun_lon - birth_sun_lon + 180) % 360 - 180) if sun_lon else None,
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'iterations': max_iter,
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'method': 'swisseph_newton_not_converged',
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'note': f'Newton迭代 {max_iter} 步未完全收敛，误差较大，请检查',
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'warning': True,
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}
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def _find_solar_return_approx(
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birth_jd_ut: float,
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birth_sun_lon: float,
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target_year: int,
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tz: float,
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) -> Dict:
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"""
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近似计算太阳返照时间（不使用 swisseph）。
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误差：±1 天以内（太阳黄经误差 < 1°）。
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"""
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birth_dt = _jd_to_datetime(birth_jd_ut)
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try:
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approx_dt_utc = datetime(target_year, birth_dt.month, birth_dt.day, 12, 0, 0)
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except ValueError:
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approx_dt_utc = datetime(target_year, birth_dt.month, 1, 12, 0, 0)
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dt_local = approx_dt_utc + timedelta(hours=tz)
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return {
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'jd_ut': _datetime_to_jd_ut(approx_dt_utc),
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'dt_ut': approx_dt_utc,
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'dt_local': dt_local,
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'sun_lon': None, # 未知（没有 swisseph）
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'error_deg': None,
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'iterations': 0,
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'method': 'approximation_no_swe',
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'note': '近似算法（无swisseph），太阳返照时间误差约±1天，太阳经度未知；建议安装swisseph以获精确结果',
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'warning': True,
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}
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# =========================================================================
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# 生成完整太阳返照盘
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# =========================================================================
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def calc_solar_return_chart(
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birth_year: int, birth_month: int, birth_day: int,
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birth_hour: int, birth_minute: int,
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birth_lat: float, birth_lon: float, birth_tz: float,
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target_year: int,
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) -> Dict:
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"""
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计算太阳返照盘（Varshaphala）。
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工作流程:
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1. 计算精确太阳返照时刻（find_solar_return_ut）
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2. 以返照时刻调用 compute_chart_data() 生成星盘
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3. 返回返照盘数据（planet_lons, houses, ascendant 等）
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参数:
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birth_*: 出生信息
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target_year: 目标年份（计算该年太阳返照）
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返回:
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dict: {
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'solar_return': {...}, # find_solar_return_ut 的结果
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'chart': {...}, # compute_chart_data 的返回值
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'planet_lons': dict, # 返照盘行星经度
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'houses': dict, # 返照盘宫位
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'ascendant': dict, # 返照盘上升
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'note': str,
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}
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"""
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# Step 1: 获取出生太阳经度（需要先计算出生盘）
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# 但 compute_chart_data 需要 swisseph，这里假设调用方已算好 birth_sun_lon
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# → 改为由调用方传入 birth_sun_lon，或从出生盘数据里取
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# 这里我们先做：调用 engine 的 compute_chart_data 算出生盘
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try:
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from jyotish_engine import compute_chart_data, HAS_SWE as ENGINE_HAS_SWE
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if not ENGINE_HAS_SWE:
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return {
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'error': 'swisseph未安装，无法计算星盘',
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'hint': '安装swisseph: pip install swisseph',
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'solar_return_approx': _find_solar_return_approx(
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_datetime_to_jd_ut(datetime(birth_year, birth_month, birth_day,
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birth_hour, birth_minute, 0)),
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0, # birth_sun_lon unknown
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target_year,
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birth_tz
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),
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}
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# 算出出生盘的太阳经度
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birth_chart, birth_asc_idx, birth_jd, _ = compute_chart_data(
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birth_year, birth_month, birth_day,
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birth_hour, birth_minute,
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birth_lat, birth_lon, birth_tz,
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'mean'
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)
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if birth_chart is None:
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return {'error': '出生盘计算失败（swisseph问题）'}
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birth_sun_lon = birth_chart.get('planets', {}).get('Sun', {}).get('degree', 0)
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birth_jd_ut = birth_jd
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# Step 2: 计算太阳返照精确时刻
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sr_result = find_solar_return_ut(
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birth_jd_ut, birth_sun_lon, target_year,
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birth_lat, birth_lon, birth_tz
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)
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if 'error' in sr_result:
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return {'error': sr_result['error'], 'solar_return': sr_result}
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sr_jd_ut = sr_result['jd_ut']
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sr_dt_ut = sr_result['dt_ut']
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# Step 3: 以返照时刻计算星盘
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# compute_chart_data 接受 year/month/day/hour/minute
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sr_year, sr_month, sr_day = sr_dt_ut.year, sr_dt_ut.month, sr_dt_ut.day
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sr_hour = sr_dt_ut.hour + sr_dt_ut.minute / 60.0 + sr_dt_ut.second / 3600.0
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sr_hour_int = int(sr_hour)
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sr_minute_int = int((sr_hour - sr_hour_int) * 60)
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sr_chart, sr_asc_idx, sr_jd, sr_ayanamsa = compute_chart_data(
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sr_year, sr_month, sr_day,
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sr_hour_int, sr_minute_int,
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birth_lat, birth_lon, 0, # UT 时间，时区=0
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'mean'
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)
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if sr_chart is None:
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return {'error': '返照盘计算失败', 'solar_return': sr_result}
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# 提取行星经度
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planet_lons = {}
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for pn, pd in sr_chart.get('planets', {}).items():
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if isinstance(pd, dict) and 'degree' in pd:
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planet_lons[pn] = pd['degree']
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houses = sr_chart.get('houses', {})
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ascendant = sr_chart.get('ascendant', {})
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return {
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'solar_return': sr_result,
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'chart': sr_chart,
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'planet_lons': planet_lons,
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'houses': houses,
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'ascendant': ascendant,
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'asc_sign_idx': sr_asc_idx,
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'target_year': target_year,
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'birth_year': birth_year,
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'age': target_year - birth_year,
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'note': f'太阳返照盘 {target_year} 年（年龄 {target_year-birth_year} 岁）',
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}
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except Exception as e:
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return {'error': f'calc_solar_return_chart异常: {e}'}
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# =========================================================================
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# 完整报告：太阳返照盘 + Muntha + Year Lord + Tajika Yogas
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# =========================================================================
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def solar_return_full_report(
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birth_year: int, birth_month: int, birth_day: int,
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birth_hour: int, birth_minute: int,
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birth_lat: float, birth_lon: float, birth_tz: float,
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target_year: int,
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) -> Dict:
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"""
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太阳返照盘完整报告（Varshaphala 年运分析）。
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整合:
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- 太阳返照盘计算
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- Muntha（年度主星）
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- Year Lord（年守护星）
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- Tajika Yogas（Ithasala/Easarapha 等）
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- Sahams（特殊点）
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- Tri-Pataka（三旗评估）
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- Mudda Dasha（年内大运）
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"""
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result = {'target_year': target_year}
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# 1. 计算太阳返照盘
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sr = calc_solar_return_chart(
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birth_year, birth_month, birth_day,
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birth_hour, birth_minute,
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birth_lat, birth_lon, birth_tz,
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target_year
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)
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if 'error' in sr:
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result['error'] = sr['error']
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result['solar_return'] = sr.get('solar_return_approx', sr)
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return result
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result['solar_return'] = sr['solar_return']
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result['sr_chart_info'] = {
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'asc_sign': SIGNS[sr['asc_sign_idx']],
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'asc_sign_idx': sr['asc_sign_idx'],
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'age': sr['age'],
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}
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planet_lons = sr['planet_lons']
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asc_sign_idx = sr['asc_sign_idx']
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age = sr['age']
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# 2. Muntha（正确算法：从返照盘太阳星座开始数）
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try:
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from tajika import calc_muntha as tajika_calc_muntha
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# tajika.calc_muntha 接收 (birth_asc_idx, age) — 但这是简化版
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# 正确版：从返照盘太阳星座开始数
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sr_sun_sign = int(planet_lons.get('Sun', 0) / 30) % 12
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muntha_sign = (sr_sun_sign + age) % 12 # 正确公式
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result['muntha'] = {
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'muntha_sign_idx': muntha_sign,
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'muntha_sign': SIGNS[muntha_sign],
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'muntha_lord': SIGN_LORDS[SIGNS[muntha_sign]],
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'sr_sun_sign_idx': sr_sun_sign,
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'sr_sun_sign': SIGNS[sr_sun_sign],
|
||
'age': age,
|
||
'formula': f'(返照盘太阳星座{sr_sun_sign} + 年龄{age}) mod 12 = {muntha_sign}',
|
||
'interpretation': _interpret_muntha_sign(muntha_sign),
|
||
}
|
||
except Exception as e:
|
||
result['muntha'] = {'error': str(e)}
|
||
|
||
# 3. Year Lord
|
||
try:
|
||
year_lord_sign = muntha_sign # Year Lord = Muntha 守护星
|
||
year_lord = SIGN_LORDS[SIGNS[year_lord_sign]]
|
||
result['year_lord'] = {
|
||
'year_lord': year_lord,
|
||
'year_lord_sign_idx': year_lord_sign,
|
||
'year_lord_sign': SIGNS[year_lord_sign],
|
||
}
|
||
except Exception as e:
|
||
result['year_lord'] = {'error': str(e)}
|
||
|
||
# 4. Tajika Yogas
|
||
try:
|
||
from tajika import calc_tajika_yogas
|
||
yogas = calc_tajika_yogas(planet_lons, chart_type='varsha')
|
||
result['tajika_yogas'] = yogas
|
||
except Exception as e:
|
||
result['tajika_yogas'] = {'error': str(e)}
|
||
|
||
# 5. Sahams（年运特殊点）
|
||
try:
|
||
from tajika import calc_all_sahams
|
||
asc_lon = sr['ascendant'].get('degree', 0)
|
||
sr_dt_ut = sr['solar_return']['dt_ut']
|
||
sahams = calc_all_sahams(planet_lons, asc_lon, sr_dt_ut, chart_type='varsha')
|
||
result['sahams'] = sahams
|
||
except Exception as e:
|
||
result['sahams'] = {'error': str(e)}
|
||
|
||
# 6. Tri-Pataka
|
||
try:
|
||
from tajika import calc_tri_pataka
|
||
tri = calc_tri_pataka(planet_lons, year_lord, muntha_sign)
|
||
result['tri_pataka'] = tri
|
||
except Exception as e:
|
||
result['tri_pataka'] = {'error': str(e)}
|
||
|
||
# 7. Mudda Dasha（年内大运）
|
||
try:
|
||
from tajika import calc_mudda_dasha
|
||
mudda = calc_mudda_dasha(asc_sign_idx, year_lord, birth_month or 1)
|
||
result['mudda_dasha'] = mudda
|
||
except Exception as e:
|
||
result['mudda_dasha'] = {'error': str(e)}
|
||
|
||
# 8. 综合总结
|
||
result['summary'] = _make_sr_summary(result)
|
||
|
||
return result
|
||
|
||
|
||
def _interpret_muntha_sign(sign_idx: int) -> str:
|
||
"""Muntha 在12星座的解读"""
|
||
interp = {
|
||
0: "年度主题：新开始、冒险、独立行动。适合启动项目。",
|
||
1: "年度主题：财务稳定、物质积累。投资、储蓄、巩固基础。",
|
||
2: "年度主题：学习、沟通、短途旅行。信息处理量大，社交活跃。",
|
||
3: "年度主题：家庭、情感、安全感。家庭事务重要，内心探索。",
|
||
4: "年度主题：创造力、自我表达、子女。创作项目，娱乐活动。",
|
||
5: "年度主题：健康、服务、日常工作。细节管理，身心调整。",
|
||
6: "年度主题：关系、合作、伴侣。婚姻/合伙事务活跃。",
|
||
7: "年度主题：深入转型、危机处理。可能涉及共享财务、心理探索。",
|
||
8: "年度主题：高等学习、长途旅行、哲学。出国、深造、信念探索。",
|
||
9: "年度主题：事业成就、社会地位。职业晋升，长期规划结果。",
|
||
10: "年度主题：社交网络、创新、团体。朋友活跃，科技相关。",
|
||
11: "年度主题：灵性、慈悲服务、潜意识。修心养性，幕后工作。",
|
||
}
|
||
return interp.get(sign_idx, '')
|
||
|
||
|
||
def _make_sr_summary(result: Dict) -> str:
|
||
"""生成太阳返照盘综合总结"""
|
||
lines = ["【太阳返照盘综合总结】"]
|
||
target = result.get('target_year', '?')
|
||
age = result.get('sr_chart_info', {}).get('age', '?')
|
||
lines.append(f" 目标年份：{target} 年（年龄 {age} 岁）")
|
||
|
||
sr = result.get('solar_return', {})
|
||
if 'dt_ut' in sr:
|
||
lines.append(f" 太阳返照时刻（UT）：{sr['dt_ut']}")
|
||
if sr.get('method', '').startswith('approx'):
|
||
lines.append(" ⚠ 注意：太阳返照时间为近似值，建议安装swisseph获精确时刻")
|
||
|
||
muntha = result.get('muntha', {})
|
||
if 'muntha_sign' in muntha:
|
||
lines.append(f" Muntha：{muntha['muntha_sign']}（守护星 {muntha['muntha_lord']}）")
|
||
lines.append(f" → {muntha.get('interpretation','')[:60]}")
|
||
|
||
yl = result.get('year_lord', {})
|
||
if 'year_lord' in yl:
|
||
lines.append(f" Year Lord：{yl['year_lord']}")
|
||
|
||
tp = result.get('tri_pataka', {})
|
||
if 'verdict' in tp:
|
||
lines.append(f" Tri-Pataka：{tp['verdict']} — {tp.get('interpretation','')[:50]}")
|
||
|
||
yogas = result.get('tajika_yogas', {})
|
||
if 'summary' in yogas:
|
||
lines.append(f" Tajika Yogas：{yogas['summary'][:100]}")
|
||
|
||
return '\n'.join(lines)
|
||
|
||
|
||
# =========================================================================
|
||
# CLI 测试入口
|
||
# =========================================================================
|
||
|
||
if __name__ == '__main__':
|
||
print("Solar Return (太阳返照盘) 模块")
|
||
print(f" swisseph可用: {HAS_SWE}")
|
||
print()
|
||
|
||
# 测试：REDACTED_DATE 14:45 +8 的出生盘，计算 2026 年太阳返照
|
||
test_birth_year, test_birth_month, test_birth_day = REDACTED_YEAR, 4, 17
|
||
test_birth_hour, test_birth_minute = 14, 45
|
||
test_lat, test_lon, test_tz = 36.4667, 114.2, 8.0
|
||
test_target_year = 2026
|
||
|
||
print(f"测试：出生 {test_birth_year}-{test_birth_month:02d}-{test_birth_day:02d} "
|
||
f"{test_birth_hour:02d}:{test_birth_minute:02d} (tz+{test_tz})")
|
||
print(f" 目标年份：{test_target_year}")
|
||
print()
|
||
|
||
result = solar_return_full_report(
|
||
test_birth_year, test_birth_month, test_birth_day,
|
||
test_birth_hour, test_birth_minute,
|
||
test_lat, test_lon, test_tz,
|
||
test_target_year
|
||
)
|
||
|
||
print("结果：")
|
||
for k, v in result.items():
|
||
if k in ('tajika_yogas', 'sahams', 'mudda_dasha'):
|
||
print(f" {k}: (见详细输出）")
|
||
elif k == 'sr_chart_info':
|
||
print(f" {k}: {v}")
|
||
elif k == 'solar_return':
|
||
sr = v
|
||
print(f" solar_return:")
|
||
print(f" method: {sr.get('method', '?')}")
|
||
print(f" dt_ut: {sr.get('dt_ut', '?')}")
|
||
print(f" sun_lon: {sr.get('sun_lon', '?')}")
|
||
print(f" error_deg: {sr.get('error_deg', '?')}")
|
||
elif k == 'summary':
|
||
print(f" summary:\n{v}")
|
||
else:
|
||
print(f" {k}: {v}")
|