732642856
128 lines
4.4 KiB
Python
128 lines
4.4 KiB
Python
#!/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 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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if "gulika_lon" not in payload:
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return {
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"status": "blocked",
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"reason": "exact_gulika_longitude_required_for_adhana_scaffold",
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"blocked_layers": ["Gulika", "Adhana candidate points"],
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}
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gulika_lon = float(payload["gulika_lon"])
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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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