Astrologer ruling 乙14. One condition source, yogas_doshas.calc_nicha_bhanga_raj_yoga (conditions A-F, now also structured). New scripts/main_yoga_detectors.py turns it into yoga_engine-shaped rows (zh + en twins) that YogaEngine.detect appends; the four neechabhanga_* rules are reference_only (kept, renamed, not evaluated). Card: traditional_yogas canonical 落陷取消(Neecha Bhanga) with 成立条件; compact yoga entries keep conditions/reductions. Report: category 落陷取消, mixed group, not raja; personal-report alias neecha_bhanga -> special. Changed assertion (test_consultation_yoga_detection_merge): canonical name 'Neecha Bhanga Raja Yoga' -> '落陷取消(Neecha Bhanga)' (ruling 乙14). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01N4f2nya58RoRu4yEmJgRGE
144 lines
6.2 KiB
Python
144 lines
6.2 KiB
Python
#!/usr/bin/env python3
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"""One main detector per classical yoga (astrologer rulings 2026-10-03).
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The same yoga used to be judged by several implementations (local code,
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`references/yoga_rules.json`, upstream ports), merged by name, so whichever
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arrived first won. Each yoga below now has exactly one detector; the data-driven
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rules of the same name are `reference_only` in `yoga_rules.json` and the rule
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engine (`yoga_engine.YogaEngine.detect`) appends the rows built here instead, so
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the reader report, the consultation sieve and `chart.yogas` carry one verdict.
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Rows are shaped like `yoga_engine` rows (Chinese fields plus `*_en` twins for the
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English reader edition).
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- Neecha Bhanga (BUG-1205, 乙14): `yogas_doshas.calc_nicha_bhanga_raj_yoga`;
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only the cancellation conditions that hold are listed, never called Raja Yoga.
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Inputs are D1 rows `{sign, house, lon?, retrograde?, navamsa_sign?}`. A missing
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`navamsa_sign` is derived from the sidereal longitude (Parashari navamsa: each
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3°20' from the movable / fixed / dual starting sign), so every caller that has
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longitudes gets the same verdict.
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"""
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from __future__ import annotations
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from typing import Any, Dict, List, Optional
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try: # scripts/ on sys.path
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from yogas_doshas import calc_nicha_bhanga_raj_yoga
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except ImportError: # package import (scripts.main_yoga_detectors)
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from scripts.yogas_doshas import calc_nicha_bhanga_raj_yoga
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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_ZH = {
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'Aries': '白羊座', 'Taurus': '金牛座', 'Gemini': '双子座', 'Cancer': '巨蟹座',
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'Leo': '狮子座', 'Virgo': '处女座', 'Libra': '天秤座', 'Scorpio': '天蝎座',
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'Sagittarius': '射手座', 'Capricorn': '摩羯座', 'Aquarius': '水瓶座', 'Pisces': '双鱼座',
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}
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PLANET_ZH = {
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'Sun': '太阳', 'Moon': '月亮', 'Mars': '火星', 'Mercury': '水星', 'Jupiter': '木星',
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'Venus': '金星', 'Saturn': '土星', 'Rahu': '罗睺', 'Ketu': '计都',
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}
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NEECHA_BHANGA_NAME = 'Neecha Bhanga'
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NEECHA_BHANGA_NAME_ZH = '落陷取消'
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NEECHA_BHANGA_CATEGORY = 'neecha_bhanga'
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NEECHA_BHANGA_NOTE_ZH = '只列成立的取消条件,不单独下结论'
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NEECHA_BHANGA_NOTE_EN = 'Conditions only; no stand-alone conclusion'
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def _lon(row: Any) -> Optional[float]:
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if not isinstance(row, dict):
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return None
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for key in ('lon', 'degree_raw', 'longitude'):
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value = row.get(key)
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if isinstance(value, (int, float)):
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return float(value) % 360.0
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return None
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def navamsa_sign(lon: float) -> str:
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"""D9 sign of a sidereal longitude (Parashari navamsa)."""
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return SIGNS[int((lon % 360.0) * 9.0 / 30.0) % 12]
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def with_navamsa(planets: Dict[str, Any]) -> Dict[str, Dict[str, Any]]:
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"""Copy of `planets` with `navamsa_sign` filled from the longitude when missing."""
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rows: Dict[str, Dict[str, Any]] = {}
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for name, row in (planets or {}).items():
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if not isinstance(row, dict):
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continue
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copy = dict(row)
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lon = _lon(row)
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if not copy.get('navamsa_sign') and lon is not None:
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copy['navamsa_sign'] = navamsa_sign(lon)
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rows[name] = copy
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return rows
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def _planet_zh(name: Any) -> str:
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return PLANET_ZH.get(str(name), str(name))
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def _sign_zh(name: Any) -> str:
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return SIGN_ZH.get(str(name), str(name))
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def _neecha_condition_text(item: Dict[str, Any], debilitated: str) -> tuple[str, str]:
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code = item.get('code')
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planet = item.get('planet')
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house = item.get('house')
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frame_zh = '上升' if item.get('frame') == 'lagna' else '月亮'
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frame_en = 'the Lagna' if item.get('frame') == 'lagna' else 'the Moon'
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if code in ('A', 'B'):
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return (f'落陷星座主星{_planet_zh(planet)}在{frame_zh}起第{house}宫(角宫)',
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f'dispositor {planet} in house {house} from {frame_en} (kendra)')
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if code in ('C', 'D'):
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return (f'该星入旺星座的主星{_planet_zh(planet)}在{frame_zh}起第{house}宫(角宫)',
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f'lord of its exaltation sign, {planet}, in house {house} from {frame_en} (kendra)')
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if code == 'E':
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return (f'{_planet_zh(debilitated)}与落陷星座主星{_planet_zh(planet)}互换星座',
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f'{debilitated} and its dispositor {planet} exchange signs')
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if code == 'F':
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return (f'{_planet_zh(planet)}在 D9 入庙或入旺({_sign_zh(item.get("sign"))})',
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f'{planet} own or exalted in D9 ({item.get("sign")})')
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return (str(item), str(item))
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def neecha_bhanga_rows(planets: Dict[str, Any]) -> List[Dict[str, Any]]:
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"""Formed Neecha Bhanga rows; conditions from `calc_nicha_bhanga_raj_yoga`."""
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result = calc_nicha_bhanga_raj_yoga(with_navamsa(planets), {})
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rows: List[Dict[str, Any]] = []
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for item in result.get('yogas') or []:
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planet = item.get('planet')
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texts = [_neecha_condition_text(cond, planet) for cond in item.get('cancellation_conditions') or []]
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if not texts:
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continue
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zh = [text[0] for text in texts]
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en = [text[1] for text in texts]
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sign = item.get('debilitated_sign')
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rows.append({
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'name': NEECHA_BHANGA_NAME,
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'name_cn': NEECHA_BHANGA_NAME_ZH,
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'category': NEECHA_BHANGA_CATEGORY,
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'planets': [planet],
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'combination': f'{_planet_zh(planet)}落陷于{_sign_zh(sign)};成立条件:' + ';'.join(zh),
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'combination_en': f'{planet} debilitated in {sign}; conditions met: ' + '; '.join(en),
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'conditions': zh,
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'conditions_en': en,
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'effects': [NEECHA_BHANGA_NOTE_ZH],
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'effects_en': [NEECHA_BHANGA_NOTE_EN],
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'strength': f'成立条件 {len(zh)} 条',
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'strength_en': f'{len(zh)} condition(s) met',
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'source': 'BPHS',
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'rule_id': 'main_detector:neecha_bhanga',
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'detector': 'yogas_doshas.calc_nicha_bhanga_raj_yoga',
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})
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return rows
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def main_detector_rows(planets: Dict[str, Any], ascendant: Optional[str] = None) -> List[Dict[str, Any]]:
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"""Every main-detector row for one D1 chart, in a fixed order."""
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return neecha_bhanga_rows(planets)
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