feat(skill): add adhana scaffold workflow
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# Adhana / Nisheka / 受孕盘 技法缺口矩阵
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日期：2026-06-26
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范围：基于 `/Users/wuyongnaren/文件仓库/印度占星文章/受孕/IMG_3216.JPG` 至 `IMG_3222.JPG` 六张截图，核对当前主仓 skill 是否已具备对应技法。
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## 结论摘要
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当前 skill **不具备完整的 Adhana / Nisheka / 受孕盘 专项体系**。
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已有能力主要是基础零件：
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- D12 / Dwadasamsa
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- Gulika / Maandi
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- Tithi / Vara / Panchanga
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- Ghati / Hora / Ghatika 时间单位
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- Special Lagnas（HL / GL / VL / PP / ViL）
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缺失的是把这些零件串成“从出生盘反推受孕盘”的专用 workflow、公式固化、案例验证与解释模板。
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## 截图涉及的技法拆解
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| 截图主题 | 技法/规则 | 当前状态 | 证据/落点 | 备注 |
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|---|---|---|---|---|
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| 受孕盘（2）总体概述 | Adhana / Nisheka / 受孕盘 专项体系 | 缺失 | 全仓未发现 `Adhana`/`Nisheka` 专门模块 | 只有零件，没有整套引擎 |
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| 受孕盘（2）总体概述 | 273 天妊娠周期规则 | 缺失 | 未发现专门实现 | 截图里作为核心 shortcut 出现 |
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| 受孕盘（2）总体概述 | 男女差异规则 | 缺失 | 未发现专门实现 | 需权威来源核实后接入 |
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| 受孕盘（3） | Adhana Lagna（受孕盘上升） | 缺失 | 无 `Adhana Lagna` 命令/输出路径 | 当前只有 HL/GL/VL/PP/ViL |
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| 受孕盘（4） | Adhana Candra（受孕盘月亮） | 缺失 | 无 `Adhana Candra` 命令/输出路径 | 当前只有出生盘 Moon 与 Panchanga |
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| 受孕盘（4） | 通过 D12 反推受孕盘月亮 | 部分具备 | `scripts/varga.py`, `scripts/divisional_yoga.py` | 有 D12 计算，但没有“反推月亮” workflow |
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| 受孕盘（5） | 通过受孕盘上升反推出生盘上升 | 缺失 | 无专门实现 | 截图强调 Badarayana / Narada 传承方法 |
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| 受孕盘（5） | Ghati 数换算与上升点回推 | 部分具备 | `scripts/special_lagnas.py`, `scripts/jaimini.py` | 有 Ghati/Ghatika 基础，但不是受孕盘算法 |
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| 受孕盘（5） | 7 宫 / Kendra 约束法 | 缺失 | 无专门实现 | 需要封装为规则链 |
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| 受孕盘（6） | 步骤总览 / Shortcut 流程 | 缺失 | 无专门 workflow | 可以作为第一版实现目标 |
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| 受孕盘（6） | LMP / EDD / 产期倒推 | 缺失 | 无专门实现 | 偏实务流程，适合单独模块 |
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| 受孕盘（6） | 出生星期 / 日主日 / 日月差 Ghati 推断 | 部分具备 | `scripts/muhurta.py`, `scripts/tithi_lord.py` | 有 Vara/Tithi，但未串成受孕盘步骤 |
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| 受孕盘（7） | 案例法 / 样本推演 | 缺失 | 无 benchmark / oracle case | 需后续建立真实或公开案例集 |
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| 全部截图 | Gulika 参与受孕盘计算 | 已具备基础 | `scripts/prashna.py`, `_compute_one_chart.py` | 可作为受孕盘引擎输入件 |
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| 全部截图 | D12 / Dwadasamsa | 已具备基础 | `scripts/varga.py`, `scripts/divisional_charts_extended.py` | 当前仅能计算，不会专项解释 |
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| 全部截图 | Ghati / Ghatika 时间框架 | 已具备基础 | `scripts/special_lagnas.py`, `scripts/jaimini.py` | 后续应复用，不必重写 |
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## 当前可复用资产
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### 1. D12 计算
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- `scripts/varga.py`
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- `scripts/divisional_yoga.py`
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- `scripts/divisional_charts_extended.py`
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用途：
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- 作为 Adhana Candra / 受孕盘月亮反推的基础件
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### 2. Gulika / Maandi
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- `scripts/prashna.py`
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- `scripts/_compute_one_chart.py`
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用途：
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- 作为截图案例里受孕盘步骤的敏感点输入
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### 3. Ghati / Ghatika / Special Lagnas
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- `scripts/special_lagnas.py`
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- `scripts/jaimini.py`
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用途：
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- 复用 Ghati / Hora / Ghatika 计时骨架
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- 不必重新写底层换算
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### 4. Tithi / Vara / Panchanga
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- `scripts/muhurta.py`
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- `scripts/tithi_lord.py`
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用途：
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- 承接截图中“出生星期”“月亮度数”“Tithi 相关约束”的步骤化规则
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## 真正缺的不是零件，而是四件事
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1. `adhana.py` 或同等模块
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- 输入：出生时间、出生盘 Moon / Gulika / Asc / D12
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- 输出：Adhana Lagna、Adhana Candra、候选受孕窗口、规则解释链
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2. 规则来源固化
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- 需要把截图中的 Badarayana / Narada / Saravali 等规则拆成结构化规则
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- 目前还只是文章级线索
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3. benchmark / case
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- 需要公开案例或至少内部样本，验证受孕盘反推是否稳定
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4. interpretation template
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- 即使算出来，也还缺“怎么讲”的解释模板
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## 最高优先级落地方向
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### P0
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实现 `受孕盘步骤总览版`，先不追求全部细枝末节：
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- 输入出生盘
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- 输出：
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- D12
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- Gulika
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- Ghati-based sensitive timing
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- 候选 Adhana Lagna
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- 候选 Adhana Candra
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- 规则链说明
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### P1
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补全截图中的：
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- 273 天规则
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- 7 宫 / Kendra 限制
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- LMP / EDD 反推辅助
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### P2
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做案例与解释模板：
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- 公开案例 benchmark
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- “受孕盘”专题解释模板
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## 直接回答“这些截图里的技法，我们有吗？”
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严谨回答：
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- **完整体系：没有**
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- **底层零件：大部分有**
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- **可立即复用的核心基础：D12 / Gulika / Ghati / Hora / Vara / Tithi**
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- **真正缺口：Adhana/Nisheka 专项 workflow 与验证闭环**
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## 下一步建议
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下一轮直接做：
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1. 建 `tests/test_adhana.py`
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2. 写第一版 `scripts/adhana.py`
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3. 先落地：
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- D12-based candidate logic
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- Ghati timing scaffold
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- Gulika input
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- explanatory trace
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不要先追求“所有古典分歧一次做完”；先把最短闭环版本做出来，再逐条加传统变体。
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""First-pass Adhana / conception workflow scaffold.
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This module does not claim final classical closure. It reuses existing skill
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building blocks (D12, Gulika, special lagnas, Ghati-based timing sensitivity)
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and exposes a structured trace for later classical rule hardening.
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"""
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from __future__ import annotations
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from typing import Dict, Any
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from jaimini import calc_special_lagnas_precise
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from prashna import calc_gulika_simple
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from varga import calc_all_vargas
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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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def _norm(lon: float) -> float:
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return lon % 360.0
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def _sign_name(sign_idx: int) -> str:
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return SIGNS[sign_idx % 12]
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def _point_payload(lon: float, source: str, note: str = "") -> Dict[str, Any]:
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longitude = _norm(lon)
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sign_idx = int(longitude / 30) % 12
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return {
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"longitude": round(longitude, 4),
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"sign_idx": sign_idx,
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"sign": _sign_name(sign_idx),
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"degree_in_sign": round(longitude - sign_idx * 30, 4),
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"source": source,
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"note": note,
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}
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def analyze_adhana_candidates(payload: Dict[str, Any]) -> Dict[str, Any]:
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asc_lon = float(payload["asc_lon"])
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sun_lon = float(payload["sun_lon"])
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moon_lon = float(payload["moon_lon"])
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gulika_lon = float(payload.get("gulika_lon", calc_gulika_simple(asc_lon, sun_lon, int(payload.get("weekday", 0)))))
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year = int(payload["year"])
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month = int(payload["month"])
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day = int(payload["day"])
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hour = int(payload["hour"])
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minute = int(payload["minute"])
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second = int(payload.get("second", 0))
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lat = float(payload["lat"])
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lon = float(payload["lon"])
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tz = float(payload["tz"])
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planet_lons = {
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"Sun": sun_lon,
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"Moon": moon_lon,
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"Rahu": float(payload.get("rahu_lon", 0.0)),
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"Ketu": float(payload.get("ketu_lon", 180.0)),
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}
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vargas = calc_all_vargas(planet_lons, asc_lon, [12])
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d12 = vargas.get("D12_Dwadashamsa", {})
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asc_sign_idx = int(asc_lon / 30) % 12
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special = calc_special_lagnas_precise(
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asc_sign_idx,
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year,
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month,
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day,
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hour,
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minute + second / 60.0,
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lat=lat,
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lon=lon,
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tz_offset=tz,
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second=second,
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)
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gl_sign_idx = special["GL"]["sign_idx"]
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hl_sign_idx = special["HL"]["sign_idx"]
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d12_moon = d12.get("Moon", {})
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d12_moon_sign_idx = d12_moon.get("sign_idx", int(moon_lon / 30) % 12)
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d12_moon_deg = d12_moon.get("degree_in_sign", moon_lon % 30)
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d12_moon_lon = d12_moon_sign_idx * 30 + d12_moon_deg
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candidate_lagna_lon = gl_sign_idx * 30 + ((gulika_lon % 24.0) / 24.0) * 30.0
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candidate_moon_lon = _norm(d12_moon_lon + ((gulika_lon - asc_lon) % 360) / 12.0)
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return {
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"system": "adhana_scaffold",
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"status": "partial_scaffold",
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"boundary": "This is not a final classical closure; it is a reusable Adhana scaffold built from validated skill components.",
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"inputs": {
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"asc_lon": asc_lon,
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"sun_lon": sun_lon,
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"moon_lon": moon_lon,
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"gulika_lon": round(gulika_lon, 6),
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"weekday": int(payload.get("weekday", 0)),
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},
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"birth_d12": d12,
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"special_lagnas": special,
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"candidate_adhana_lagna": _point_payload(
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candidate_lagna_lon,
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"special_lagnas.GL",
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note=f"GL sign {_sign_name(gl_sign_idx)} prioritized over HL {_sign_name(hl_sign_idx)} in scaffold mode.",
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),
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"candidate_adhana_moon": _point_payload(
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candidate_moon_lon,
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"D12_moon_plus_gulika_arc",
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note="Uses D12 Moon anchor plus a normalized Gulika/Asc arc fraction as first-pass scaffold.",
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),
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"rule_trace": [
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"Reused existing D12 calculator instead of inventing a conception-specific divisional engine.",
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"Reused precise special lagnas for Ghati-sensitive timing instead of new time math.",
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"Reused Gulika as a conception-sensitive point input because the screenshot workflow repeatedly references it.",
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"Returned candidate layers with explicit boundary text; no claim of final Adhana/Nisheka authority yet.",
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],
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}
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#!/usr/bin/env python3
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"""Regression tests for the first Adhana / conception workflow scaffold."""
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from __future__ import annotations
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import os
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import sys
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ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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SCRIPTS = os.path.join(ROOT, "scripts")
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sys.path.insert(0, SCRIPTS)
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from adhana import analyze_adhana_candidates
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def sample_birth_payload():
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return {
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"asc_lon": 132.355025,
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"sun_lon": 3.5226611111111112,
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"moon_lon": 311.78995555555554,
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"gulika_lon": 256.581676,
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"weekday": 6,
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"year": REDACTED_YEAR,
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"month": 4,
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"day": 17,
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"hour": 14,
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"minute": 45,
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"second": 20,
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"lat": 36.466667,
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"lon": 114.2,
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"tz": 8,
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}
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def test_adhana_scaffold_exposes_reusable_inputs_and_trace():
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result = analyze_adhana_candidates(sample_birth_payload())
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assert result["system"] == "adhana_scaffold"
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assert result["status"] == "partial_scaffold"
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assert "rule_trace" in result
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assert len(result["rule_trace"]) >= 3
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def test_adhana_scaffold_reuses_d12_gulika_and_special_lagnas():
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result = analyze_adhana_candidates(sample_birth_payload())
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assert result["inputs"]["gulika_lon"] == 256.581676
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assert result["birth_d12"]["Moon"]["sign"]
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assert result["special_lagnas"]["GL"]["sign"]
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assert result["special_lagnas"]["HL"]["sign"]
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def test_adhana_scaffold_surfaces_candidate_layers_without_claiming_finality():
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result = analyze_adhana_candidates(sample_birth_payload())
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assert "candidate_adhana_lagna" in result
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assert "candidate_adhana_moon" in result
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assert result["candidate_adhana_lagna"]["source"] in {"special_lagnas.GL", "special_lagnas.HL"}
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assert result["candidate_adhana_moon"]["source"] == "D12_moon_plus_gulika_arc"
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assert "not a final classical closure" in result["boundary"]
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