732642856
435 lines
18 KiB
Markdown
435 lines
18 KiB
Markdown
# 开源印度占星项目整合报告
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**日期**: 2026-06-11
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**目标目录**: `<home>/.workbuddy/skills/jyotish-vedic-astrology/references/open_source_sources/`
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---
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## 项目1: CNWU16/vedic-astro-skills (MIT, 161 stars)
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**仓库**: https://github.com/CNWU16/vedic-astro-skills
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**本地路径**: `vedic-astro-skills/`
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**许可证**: MIT License (Copyright 2026)
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### 目录结构
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```
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vedic-astro-skills/
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├── .github/
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├── .gitignore
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├── CHANGELOG.md
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├── LICENSE # MIT License
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├── README.md
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├── sync_skills.ps1
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├── antigravity/skills/ # Antigravity IDE 版本
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│ ├── vedic-calculator/ # 核心计算引擎
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│ │ ├── SKILL.md
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│ │ ├── requirements.txt
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│ │ └── scripts/
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│ │ ├── engine.py # ★ 主计算引擎 (688行)
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│ │ ├── ashtakavarga_pyjhora.py
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│ │ ├── dasha_pyjhora.py
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│ │ ├── divisional_pyjhora.py
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│ │ ├── shadbala_pyjhora.py
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│ │ ├── transit.py
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│ │ ├── extras_pyjhora.py
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│ │ ├── formatter.py
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│ │ ├── setup_env.py
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│ │ └── ephe/ # 星历文件
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│ ├── vedic-core/ # 核心解读引擎
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│ │ ├── SKILL.md # ★ 3000+行，极详细的解读方法论
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│ │ ├── scripts/report_builder.py
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│ │ └── resources/
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│ │ ├── house_framework.md # ★ 宫位诊断框架
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│ │ ├── p1_p12.md # ★ P1-P12行星审计参数
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│ │ ├── qa_rules.md # Q&A伦理规则
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│ │ ├── report_rules.md # 报告打包规则
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│ │ └── yogas.md # ★ 格局(Yoga)评估方法论
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│ ├── vedic-career/SKILL.md
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│ ├── vedic-love/SKILL.md
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│ ├── vedic-reader/ # 星盘阅读
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│ │ ├── SKILL.md
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│ │ └── resources/
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│ │ ├── chart_reading_rules.md
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│ │ ├── data_contract.md
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│ │ └── validation_rules.md
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│ └── vedic-rectifier/ # 出生时间校正
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│ ├── SKILL.md
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│ ├── requirements.txt
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│ ├── scripts/time_scan.py
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│ └── resources/event_house_map.md
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├── claude-code/ # Claude Code 版本 (相同结构)
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├── codex/ # Codex 版本 (相同结构)
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├── assets/ # 赞赏二维码
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└── scripts/report_builder.py
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```
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### Python 文件及 main 函数
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| 文件路径 | 行数 | main函数 | 功能 |
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|---------|------|---------|------|
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| `antigravity/skills/vedic-calculator/scripts/engine.py` | 768 | `if __name__ == '__main__':` L694 | 主计算引擎 - 完整星盘计算 |
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| `antigravity/skills/vedic-calculator/scripts/ashtakavarga_pyjhora.py` | - | - | SAV/BAV 计算 (PyJHora) |
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| `antigravity/skills/vedic-calculator/scripts/dasha_pyjhora.py` | - | - | Vimshottari Dasha (PyJHora) |
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| `antigravity/skills/vedic-calculator/scripts/divisional_pyjhora.py` | - | - | 分盘计算 D2-D60 (PyJHora) |
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| `antigravity/skills/vedic-calculator/scripts/shadbala_pyjhora.py` | - | - | Shadbala 六重力量 + 9项bug修正 |
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| `antigravity/skills/vedic-calculator/scripts/transit.py` | - | - | 行运计算 (自建, 非PyJHora) |
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| `antigravity/skills/vedic-calculator/scripts/extras_pyjhora.py` | - | - | Bhava Bala, Special Lagnas 等 |
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| `antigravity/skills/vedic-calculator/scripts/formatter.py` | - | - | 格式化输出 |
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| `antigravity/skills/vedic-calculator/scripts/setup_env.py` | - | - | 环境安装脚本 |
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| `antigravity/skills/vedic-core/scripts/report_builder.py` | - | - | HTML报告打包工具 |
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| `antigravity/skills/vedic-rectifier/scripts/time_scan.py` | - | - | 出生时间扫描校正 |
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### 核心技术特性
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#### engine.py 核心功能 (calculate_full_chart)
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- 基于 swisseph (pysweph) + dashaflow + PyJHora 混合架构
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- 17个数据板块: ayanamsa, lagna, 9行星, SAV/BAV, D9/D10/D4/D5分盘, Vargottama, Dignity(Panchadha Maitri), Combustion, Chara Karakas, Aspects, House Lords, Dasha, Shadbala, Moon Phase, Digbala, Special Points(AL/UL), Transits(Sade Sati + Double Transit)
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- fail-fast 策略: PyJHora 核心模块必须全部加载
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- BPHS Panchadha Maitri 算法自建实现 (L576-596)
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- Sade Sati 判定位于 calc_transits() L409-418
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- 支持 Gandhi 测试用例
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#### vedic-core SKILL.md 解读方法论
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- **Step 1**: P1-P12 行星审计 (信号分诊 A/B/C 级 + PAC 联合判定)
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- **Step 2**: 分盘交叉分析 (D9生命矩阵继承铁律 + D10/D4/D5)
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- **Step 3**: 宫位诊断 (管理者/租客/相位/硬件四维度 + Dasha事件关联)
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- **Step 4**: 十大板块总结 (人格/财富/事业/感情/健康/教育/家庭/社交/灵性/赛道)
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- **Step 5**: 技术附录
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- 盲审原则（Step 1-3纯盲审，禁止反推）
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- 语言风格规则（70%通俗+20%数据+10%技术注释）
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- Q&A模式（完成报告后答疑）
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#### resource/yogas.md 格局列表
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24种Yoga: Dharma-Karma, Dhana, Raja, Viparita Raja, Gajakesari, Chandra-Mangala, Kemadruma, Pancha Mahapurusha (Ruchaka/Bhadra/Hamsa/Malavya/Shasha)
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### 与当前 yinduzhanxing Skill 对比
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| 功能 | vedic-astro-skills | 当前 jyotish-vedic-astrology |
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|------|-------------------|---------------------------|
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| 计算引擎 | swisseph + PyJHora + dashaflow | swisseph + dashaflow |
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| 核心解读 | 极详细 (3000行SKILL.md, KN Rao体系) | 分散在各模块 |
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| P1-P12体系 | 完整定义 | 无 |
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| 格局列表 | 24种Yoga + 评估框架 | 基本Yoga |
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| 宫位诊断 | 管理者/租客/相位/硬件四维度 | 基础宫位分析 |
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| 报告生成 | HTML打包工具 (report_builder.py) | 无 |
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| 出生时间校正 | time_scan.py | 无 |
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| 解读方法论 | 盲审原则/信号分诊/PAC联合判定 | 基础解读规则 |
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---
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## 项目2: diliprk/VedicAstro (MIT, 63 stars)
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**仓库**: https://github.com/diliprk/VedicAstro
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**本地路径**: `VedicAstro/`
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**许可证**: MIT (需确认，仓库无LICENSE文件，但README标注MIT)
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### 目录结构
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```
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VedicAstro/
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├── vedicastro/
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│ ├── __init__.py # 空文件
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│ ├── VedicAstro.py # ★ 主类 VedicHoroscopeData (615行)
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│ ├── horary_chart.py # KP Horary 方法
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│ ├── utils.py # 工具函数
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│ └── data/
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│ └── KP_SL_Divisions.csv # KP SubLord 度数表 (249条)
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└── test_suite/
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├── horary_functions_test.py
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└── swe_const.py
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```
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### Python 文件及 main函数
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| 文件路径 | 行数 | main函数 | 功能 |
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|---------|------|---------|------|
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| `vedicastro/VedicAstro.py` | 615 | - | KP Sublord/Subsublord 计算引擎 |
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| `vedicastro/horary_chart.py` | 149 | L131 | KP Horary 上升校正 |
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| `vedicastro/utils.py` | 162 | - | UTC/DMS/日期工具 |
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| `test_suite/horary_functions_test.py` | - | - | 测试 |
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### KP Sublord/Subsublord 计算逻辑 ★★★
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核心函数: `VedicHoroscopeData.get_rl_nl_sl_data()` (L241-288)
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```python
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def get_rl_nl_sl_data(self, deg: float):
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"""
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返回: Rashi Lord, Nakshatra, Nakshatra Pada, Nakshatra Lord,
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Sub Lord, Sub Sub Lord
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"""
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duration = [7, 20, 6, 10, 7, 18, 16, 19, 17] # Vimshottari年份
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lords = ["Ketu", "Venus", "Sun", "Moon", "Mars", "Rahu", "Jupiter", "Saturn", "Mercury"]
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star_lords = lords * 3 # 27 Nakshatras
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# 1. 星座主 (Sign Lord): 每30度一个星座
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sign_index = int(sign_deg // 30)
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# 2. Nakshatra: 每13.332度一个星宿
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nakshatra_index = int(sign_deg // 13.332)
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pada = int((nakshatra_deg % 13.332) // 3.325) + 1
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# 3. KP SubLord/SubSubLord 算法 (KP经典三段嵌套)
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deg = deg - 120 * int(deg / 120) # 归化到[0,120)
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degcum = 0
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i = 0
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while i < 9:
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deg_nl = 360 / 27 # Nakshatra跨度
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j = i
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while True:
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deg_sl = deg_nl * duration[j] / 120 # Sublord跨度
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k = j
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while True:
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deg_ss = deg_sl * duration[k] / 120 # SubSubLord跨度
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degcum += deg_ss
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if degcum >= deg:
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return {
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"Nakshatra": ..., "Pada": ...,
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"NakshatraLord": ..., "RasiLord": ...,
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"SubLord": lords[j],
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"SubSubLord": lords[k]
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}
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k = (k + 1) % 9
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if k == j: break
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j = (j + 1) % 9
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if j == i: break
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i += 1
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```
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**KP三段嵌套算法说明**:
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1. 外层循环: 9个Nakshatra主星 (i=0..8)
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2. 中层循环: 该Nakshatra下的9个SubLord (j从i开始循环)
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3. 内层循环: 该SubLord下的9个SubSubLord (k从j开始循环)
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4. 每个SubLord跨度 = (Nakshatra跨度 × Dasha年数) / 120
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5. 每个SubSubLord跨度 = (SubLord跨度 × Dasha年数) / 120
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6. 当累积度数 >= 目标度数时，返回对应的lords[j]和lords[k]
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**其他KP功能**:
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- `get_planet_wise_significators()`: 行星级别ABCD significator表
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- `get_house_wise_significators()`: 宫位级别ABCD significator表
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- `get_consolidated_chart_data()`: 按星座汇总的星盘数据
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- `get_transit_details()`: 行运数据含 RL/NL/SL
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- `horary_chart.py`: KP Horary上升时间查找算法 (逐秒扫描)
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### 依赖
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- flatlib: 天文计算 (基于Swiss Ephemeris)
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- polars: 数据处理
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- timezonefinder, pytz: 时区管理
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- prettytable: 表格输出
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### 与当前 yinduzhanxing Skill 对比
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| 功能 | VedicAstro | 当前 jyotish-vedic-astrology |
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|------|-----------|---------------------------|
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| KP Sublord | 完整实现 (三段嵌套) | 未实现 |
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| KP SubSubLord | 完整实现 | 未实现 |
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| KP ABCD Significators | 完整实现 | 未实现 |
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| KP Horary | 上升时间查找 + KP_SL_Divisions.csv | 未实现 |
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| 基础星盘 | flatlib (Whole Sign/Placidus) | swisseph |
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| Vimshottari Dasha | 自建实现 | dashaflow |
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---
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## 项目3: rishi-ai-mcp (MIT, PyPI v1.1.0)
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**仓库**: https://github.com/adarshj322/rishi-ai-mcp
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**PyPI**: https://pypi.org/project/rishi-ai-mcp/
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**本地路径**: `rishi-ai-mcp/`
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**许可证**: MIT License (Copyright (c) 2026 Adarsh J)
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### 目录结构
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```
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rishi-ai-mcp/
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├── rishi_ai_mcp.py # ★ MCP Server 主文件 (223行)
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├── test_rishi_ai_mcp.py
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├── pyproject.toml
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├── LICENSE
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├── README.md
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├── AGENTS.md
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├── CHANGELOG.md
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├── CONTRIBUTING.md
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├── system_prompt.md
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├── kilo.json
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├── .agents/
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│ ├── rules/rishi-ai.md
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│ ├── skills/ # 15个 Skill 目录
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│ │ ├── career-analysis/SKILL.md
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│ │ ├── children-analysis/SKILL.md
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│ │ ├── education-analysis/SKILL.md
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│ │ ├── finance-analysis/SKILL.md
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│ │ ├── full-reading/SKILL.md # ★ 最完整的分析流程
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│ │ ├── geopolitics-analysis/SKILL.md
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│ │ ├── health-analysis/SKILL.md
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│ │ ├── marriage-analysis/SKILL.md
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│ │ ├── muhurtha-analysis/SKILL.md # ★ Muhurtha 工作流
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│ │ ├── past-life-analysis/SKILL.md
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│ │ ├── physicalintimacy-analysis/SKILL.md
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│ │ ├── relationship-analysis/SKILL.md
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│ │ ├── spiritual-analysis/SKILL.md
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│ │ └── spouse-profiling/SKILL.md
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│ └── workflows/ # 对应每个 Skill 的 workflow 文档
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├── .cursor/ # Cursor IDE 配置
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├── .kilo/ # Kilo IDE 配置
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└── .vscode/ # VS Code 配置
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```
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### Python 文件
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| 文件路径 | 行数 | main函数 | 功能 |
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|---------|------|---------|------|
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| `rishi_ai_mcp.py` | 223 | L216 `main()` | MCP Server 入口，5个工具 |
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### 架构说明
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rishi-ai-mcp 是一个 **薄封装层**，核心计算全部委托给 `dashaflow` 库:
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```python
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from dashaflow import (
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cast_chart, # cast_vedic_chart 工具
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cast_transit, # cast_transit_chart 工具 (含 Sade Sati)
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calculate_compatibility, # calculate_compatibility_tool 工具
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check_muhurtha, # check_muhurtha_tool 工具
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analyze_career, # analyze_career_chart 工具
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)
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```
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**5个MCP工具**:
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1. `cast_vedic_chart` → `dashaflow.cast_chart()` - 完整出生星盘
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2. `cast_transit_chart` → `dashaflow.cast_transit()` - 行运 + Sade Sati
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3. `calculate_compatibility_tool` → `dashaflow.calculate_compatibility()` - 16因素合婚
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4. `check_muhurtha_tool` → `dashaflow.check_muhurtha()` - 择时评估
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5. `analyze_career_chart` → `dashaflow.analyze_career()` - D10职业分析
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### Sade Sati 判定逻辑 (位于 dashaflow/vedic_calculator.py) ★★★
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```python
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# vedic_calculator.py L646-668
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sade_sati_active = False
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sade_sati_phase = None
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dist = (saturn_sign_idx - natal_moon_idx) % 12
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if dist == 11:
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sade_sati_active = True
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sade_sati_phase = "rising (12th from Moon)"
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elif dist == 0:
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sade_sati_active = True
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sade_sati_phase = "peak (over Moon)"
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elif dist == 1:
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sade_sati_active = True
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sade_sati_phase = "setting (2nd from Moon)"
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# 输出: { "active": bool, "phase": str, "saturn_transit_sign": str, "natal_moon_sign": str }
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```
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**Sade Sati三阶段**:
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- Phase 1 (上升期): Saturn在月亮星座前一个星座 (第12宫)
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- Phase 2 (高峰期): Saturn在月亮星座同宫
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- Phase 3 (衰退期): Saturn在月亮星座后一个星座 (第2宫)
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- 仅基于月亮星座(sign)判定，不含degree精度
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### Muhurtha 选择逻辑 (位于 dashaflow/muhurtha.py) ★★★
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**支持的6种活动**: `marriage`, `travel`, `business`, `education`, `house_entry`, `medical`
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**每个活动有独立配置**:
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- `good_nakshatras`: 吉星宿集合
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- `good_tithis`: 吉月相日集合
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- `good_lagnas` / `good_weekdays` / `moon_signs`: 条件字段
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**评估算法** (`evaluate_muhurtha()`):
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1. **Panchang Suddhi** (通用): 排除不吉的Tithi/Nakshatra/Yoga
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2. **活动专属Nakshatra检查**: 当前星宿是否在活动吉星宿列表中
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3. **活动专属Tithi检查**: 当前月相日是否在活动吉日中
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4. **Weekday检查**: 星期是否符合活动要求
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5. **Lagna检查**: 上升星座是否在活动吉升星座中
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6. **Moon sign检查**: (仅business活动)
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7. **婚姻特殊Doshas检查**:
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- Sagraha Dosha: Moon合相任何行星
|
||
- Shashtashta Dosha: Moon在6/8/12宫
|
||
- Bhrigupta Shatka: Venus在6宫
|
||
- Kujaasthama: Mars在8宫
|
||
8. **第8宫检查**: (marriage/medical/house_entry) 第8宫不应有行星
|
||
|
||
**评分**: `score = positive × 10 - negative × 15`
|
||
**判定**: auspicious / mixed_favorable / mixed / inauspicious
|
||
|
||
**Muhurtha SKILL.md 额外规则** (rishi-ai-mcp/.agents/skills/muhurtha-analysis/SKILL.md):
|
||
- Tarabala: 行运月亮星宿不能是出生星宿的第3/5/7个Tara
|
||
- Chandrabala: 行运月亮不能落在出生月亮星座的6/8/12宫
|
||
- Lagna Shuddhi: 行运上升宫不应有凶星
|
||
- Gandanta Moon 检查
|
||
- Kaal Sarpa 检查
|
||
|
||
### 与当前 yinduzhanxing Skill 对比
|
||
|
||
| 功能 | rishi-ai-mcp | 当前 jyotish-vedic-astrology |
|
||
|------|-------------|---------------------------|
|
||
| Sade Sati | dashaflow 内置 (含三阶段判定) | engine.py 内置 (L409-418, 同样三阶段) |
|
||
| Muhurtha | dashaflow 完整实现 (6活动+评分) | 未实现 |
|
||
| MCP Server | FastMCP 标准实现 | panchanga_api 有部分实现 |
|
||
| 解读Skill | 15个领域SKILL.md | 分散在各模块 |
|
||
| 婚姻合盘 | 16因素 Ashtakoot + Kuja Dosha | 部分实现 |
|
||
| 职业分析 | D10 + 10宫分析 | 基础分析 |
|
||
|
||
---
|
||
|
||
## 可复用代码提取建议
|
||
|
||
### 优先级最高 ★★★
|
||
|
||
#### 1. KP Sublord/Subsublord 计算算法
|
||
**来源**: VedicAstro/vedicastro/VedicAstro.py L241-288
|
||
**方法**: `get_rl_nl_sl_data()`
|
||
**可直接复制**: 三段嵌套循环的 KP 经典算法，输入度数输出 RL/NL/SL/SSL
|
||
**需要适配**: flatlib → swisseph 天文接口；polars → 标准 Python 数据结构
|
||
|
||
#### 2. Panchadha Maitri (五重友谊) 尊贵度算法
|
||
**来源**: vedic-astro-skills/engine.py L528-596
|
||
**方法**: 自建 BPHS Panchadha Maitri 实现
|
||
**可直接复制**: NATURAL_REL表 + COMPOUND_TABLE + 判定逻辑
|
||
**注意**: 不依赖 dashaflow 的 dignity 模块，是独立实现
|
||
|
||
### 优先级高 ★★
|
||
|
||
#### 3. Muhurtha 择时评估系统
|
||
**来源**: dashaflow/muhurtha.py (已在 references 中)
|
||
**方法**: `evaluate_muhurtha()` + ACTIVITY_RULES
|
||
**可直接复用**: 6活动规则字典 + 评分算法 + 婚姻Doshas检查
|
||
**可增强**: 集成 rishi-ai-mcp SKILL.md 中的 Tarabala/Chandrabala 规则
|
||
|
||
#### 4. vedic-core 解读方法论
|
||
**来源**: vedic-astro-skills/antigravity/skills/vedic-core/
|
||
**价值**: 极详细的 SKILL.md + 5个resource文件
|
||
**可复用**:
|
||
- house_framework.md: 宫位诊断四维度 + Dasha事件推导硬约束
|
||
- p1_p12.md: P1-P12行星审计参数体系
|
||
- yogas.md: 24种Yoga定义 + 评估框架 + 赛道合成
|
||
- report_rules.md: HTML报告打包规则
|
||
|
||
### 优先级中 ★
|
||
|
||
#### 5. rishi-ai-mcp 领域Skill MD
|
||
**来源**: rishi-ai-mcp/.agents/skills/ (15个目录)
|
||
**价值**: 15个领域的专业占星解读工作流
|
||
**亮点**: full-reading/SKILL.md (最完整分析流程), muhurtha-analysis/SKILL.md (择时工作流)
|
||
|
||
#### 6. KP Horary 上升时间查找
|
||
**来源**: VedicAstro/horary_chart.py
|
||
**方法**: `find_exact_ascendant_time()` + `KP_SL_Divisions.csv`
|
||
**适配工作量大**: 依赖 flatlib 天文库，需迁移到 swisseph
|
||
|
||
---
|
||
|
||
## 已有基础对比总结
|
||
|
||
所有三个项目的核心计算能力(dashaflow)已经存在于 `references/open_source_sources/dashaflow/` 目录中:
|
||
- `dashaflow/vedic_calculator.py`: 含 Sade Sati L646-668
|
||
- `dashaflow/muhurtha.py`: 完整 Muhurtha 评估系统
|
||
- `dashaflow/dignity.py`: 尊贵度计算
|
||
- `dashaflow/jaimini.py`: Jaimini Karakas
|
||
- `dashaflow/matchmaking.py`: 合婚
|
||
- `dashaflow/career.py`: 职业分析
|
||
|
||
**新获得的增量价值**:
|
||
1. **KP Sublord/Subsublord** (VedicAstro) - 核心算法级新增
|
||
2. **解读方法论** (vedic-astro-skills) - 人话解读框架级新增
|
||
3. **15个领域 Skill MD** (rishi-ai-mcp) - 工作流级别新增
|
||
4. **Panchadha Maitri 自建** (vedic-astro-skills) - 可替代dashaflow依赖
|