feat(ashtakavarga): standard Sodhita chain on reports and cards, raw values beside (T7, BUG-1209)
Astrologer ruling 乙8. New scripts/ashtakavarga_shodhana.py: per BAV row Trikona then Ekadhipatya (the two existing ashtakavarga functions, previously only called by tests), Sodhita SAV = sum of reduced rows; occupied signs = seven grahas. Removed calc_sodhita_av (Sun/Mars/Saturn contribution removal labelled 'BPHS标准'). Wired into /api/ashtakavarga (result.sodhita, house_scores[*].sav_sodhita) and the full reading. Reader: SAV table 'Sodhita SAV | Raw SAV', house table gains Sodhita column, Sodhita BAV table before raw BAV; reference edition section rewritten. Card: sav_sodhita before sav_score plus sav_columns label. Personal report facts: score = Sodhita, rawScore/savRawTotal beside (optional schema fields). Fact tables: Sodhita column and Sodhita BAV subtable. Transit scoring unchanged (raw bindus). Golden: report-density-fictional-engine.json leaf worksheets.strengths_and_scores .ashtakavarga recaptured from the real engine (scripts/research/refresh_density_ fixture_ashtakavarga.py); bav/sav identical, every other leaf byte-equal. Changed assertions (three columns in PROGRESS): BUG-1200 house-table tests, report-fact-tables ashtakavarga columns/subtables, run_all t1/t57. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01N4f2nya58RoRu4yEmJgRGE
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Jesse_Chen
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Claude Opus 5.5
Claude Opus 5.5
parent
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commit
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@@ -491,101 +491,10 @@ def calc_yoga_pinda(bav_results: Dict, planets: Dict, asc_sign_idx: int) -> Dict
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}
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def calc_sodhita_av(bav_results: Dict, planets: Dict, asc_sign_idx: int) -> Dict:
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"""
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计算 Sodhita Ashtakavarga — 净化后的八分行星力量表
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Sodhita 算法（BPHS标准）：
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从每颗行星的每个宫位BAV中，减去Saturn、Mars和Sun的贡献（若结果为负取0）。
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这反映了"减去凶星影响后的纯净力量"。
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Args:
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bav_results: calc_ashtakavarga返回的bav结果
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planets: 行星数据 dict
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asc_sign_idx: 上升星座索引
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Returns:
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{
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'sodhita_bav': {planet: [12个sodhita值]},
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'sodhita_sav': [12个sodhita SAV值],
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'reduction_summary': {...}
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}
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"""
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# 1. 获取PAV展开表（需要知道每个贡献源的单独贡献）
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pav_data = calc_prastara_av(planets, asc_sign_idx)
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pav = pav_data['pav']
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# 2. 定义需要减去的"凶星"贡献源
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malefic_sources = ['Saturn', 'Mars', 'Sun']
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# 3. 计算Sodhita BAV
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sodhita_bav = {}
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total_reduction = {}
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for planet in SEVEN_PLANETS:
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if planet not in pav:
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continue
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# 原始BAV（从所有8个来源）
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original_bav = [0] * 12
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for source in ALL_SOURCES:
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if source in pav.get(planet, {}):
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for i in range(12):
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original_bav[i] += pav[planet][source][i]
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# 减去凶星贡献
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reduction = [0] * 12
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sodhita = [0] * 12
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for i in range(12):
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malefic_sum = 0
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for source in malefic_sources:
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if source in pav.get(planet, {}):
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malefic_sum += pav[planet][source][i]
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reduction[i] = malefic_sum
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sodhita[i] = max(0, original_bav[i] - malefic_sum)
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sodhita_bav[planet] = sodhita
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total_reduction[planet] = sum(reduction)
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# 4. 计算Sodhita SAV
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sodhita_sav = [0] * 12
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for planet in SEVEN_PLANETS:
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if planet in sodhita_bav:
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for i in range(12):
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sodhita_sav[i] += sodhita_bav[planet][i]
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# 5. 评估
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sodhita_assessment = []
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for i in range(12):
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score = sodhita_sav[i]
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if score >= 25:
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level = "极吉"
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elif score >= 22:
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level = "吉利"
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elif score >= 19:
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level = "中等"
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else:
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level = "挑战"
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sodhita_assessment.append({
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'sign': SIGNS[i],
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'score': score,
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'level': level,
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})
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return {
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'method': 'Sodhita Ashtakavarga (BPHS标准)',
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'version': '1.0',
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'sodhita_bav': sodhita_bav,
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'sodhita_sav': {
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'scores': {SIGNS[i]: sodhita_sav[i] for i in range(12)},
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'assessment': sodhita_assessment,
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'total': sum(sodhita_sav),
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},
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'reduction_summary': total_reduction,
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'validation_note': 'Sodhita AV ≤ 原始BAV（逐宫位）',
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}
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# calc_sodhita_av (removed, BUG-1209): it subtracted the Sun, Mars and Saturn
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# contributions from every BAV and was labelled "BPHS标准"; that is not the BPHS
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# Sodhita. The standard chain (Trikona -> Ekadhipatya per BAV row) is
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# scripts/ashtakavarga_shodhana.py, built on the two functions below.
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TRIKONA_SIGN_GROUPS = (
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@@ -0,0 +1,85 @@
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#!/usr/bin/env python3
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"""Standard Ashtakavarga reduction chain for display (ruling 乙8, BUG-1209).
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BAV of each of the seven planets -> Trikona Shodhana -> Ekadhipatya Shodhana ->
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Sodhita BAV; Sodhita SAV is the sum of the seven reduced BAV rows. The two
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reductions are `ashtakavarga.calc_trikona_shodhana` (the minimum of each trine
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removed from its three signs, i.e. PVR rules 1-3) and
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`ashtakavarga.calc_ekadhipatya_shodhana` (the five dual-lordship sign pairs,
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PVR rules 1-4), applied to every BAV row as BPHS ch. 67 orders them.
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Occupied signs for Ekadhipatya: signs holding one of the seven grahas (Rahu,
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Ketu and the Lagna are not counted). PyJHora 4.8.7 counts any non-empty chart
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cell (nodes, Lagna marker) and reduces only each planet's own sign pair in its
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own row; both differences are recorded as a question for the astrologer.
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Display only: transit (gochara) scoring keeps the raw BAV bindus (decision
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record of TASK-astrologer-rulings-batch1-20261003). Raw values are kept beside
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the reduced ones.
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"""
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from __future__ import annotations
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from typing import Any, Dict, List
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try: # scripts/ on sys.path
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from ashtakavarga import SEVEN_PLANETS, SIGNS, calc_ekadhipatya_shodhana, calc_trikona_shodhana
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except ImportError: # package import
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from scripts.ashtakavarga import SEVEN_PLANETS, SIGNS, calc_ekadhipatya_shodhana, calc_trikona_shodhana
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METHOD = 'Trikona Shodhana -> Ekadhipatya Shodhana (BPHS ch. 67), per BAV row; Sodhita SAV = sum of reduced BAV'
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METHOD_ZH = '三方净化 → 单宫主净化（BPHS 第 67 章，逐行 BAV）；净化后 SAV = 七星净化后 BAV 之和'
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def occupied_signs(planets: Dict[str, Any]) -> set[int]:
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signs = set()
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for name in SEVEN_PLANETS:
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sign = (planets.get(name) or {}).get('sign') if isinstance(planets.get(name), dict) else None
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if sign in SIGNS:
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signs.add(SIGNS.index(sign))
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return signs
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def sodhita_chain(bav_results: Dict[str, Any], planets: Dict[str, Any]) -> Dict[str, Any]:
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"""Reduced BAV rows and Sodhita SAV from `calc_ashtakavarga(...)['bav']`."""
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raw: Dict[str, List[int]] = {}
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for name in SEVEN_PLANETS:
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bindus = (bav_results.get(name) or {}).get('bindus')
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if isinstance(bindus, list) and len(bindus) == 12:
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raw[name] = [int(value) for value in bindus]
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if len(raw) != len(SEVEN_PLANETS):
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return {'status': 'blocked', 'reason': 'bav_rows_missing', 'method': METHOD}
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trikona = {name: calc_trikona_shodhana(row)['reduced_scores'] for name, row in raw.items()}
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occupied = occupied_signs(planets)
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ekadhipatya = calc_ekadhipatya_shodhana(trikona, occupied)
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reduced = ekadhipatya['rows']
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sav = [sum(reduced[name][index] for name in SEVEN_PLANETS) for index in range(12)]
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raw_sav = [sum(raw[name][index] for name in SEVEN_PLANETS) for index in range(12)]
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return {
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'status': 'executed',
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'method': METHOD,
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'method_zh': METHOD_ZH,
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'source': 'scripts/ashtakavarga_shodhana.py (ashtakavarga.calc_trikona_shodhana + calc_ekadhipatya_shodhana)',
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'occupied_signs': [SIGNS[index] for index in sorted(occupied)],
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'raw_bav': raw,
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'trikona_bav': trikona,
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'sodhita_bav': reduced,
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'ekadhipatya_audit': ekadhipatya['audit'],
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'sodhita_sav': {
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'scores': {SIGNS[index]: sav[index] for index in range(12)},
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'assessment': [{'sign': SIGNS[index], 'score': sav[index]} for index in range(12)],
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'total': sum(sav),
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},
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'raw_sav': {'scores': {SIGNS[index]: raw_sav[index] for index in range(12)}, 'total': sum(raw_sav)},
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'transit_scoring': 'raw BAV bindus (unchanged)',
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}
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def attach_house_values(house_scores: Dict[str, Any], chain: Dict[str, Any]) -> None:
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"""Add `sav_sodhita` next to the raw `sav_score` of each house row."""
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if chain.get('status') != 'executed' or not isinstance(house_scores, dict):
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return
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scores = chain['sodhita_sav']['scores']
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for row in house_scores.values():
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if isinstance(row, dict) and row.get('sign') in scores:
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row['sav_sodhita'] = scores[row['sign']]
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@@ -7917,7 +7917,9 @@ class JyotishAPIHandler(BaseHTTPRequestHandler, VedastroEvidenceMixin, SynastryM
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ashtakavarga = _load_local_module('ashtakavarga')
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result = ashtakavarga.calc_ashtakavarga(planets, asc_sign_idx)
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pav = ashtakavarga.calc_prastara_av(planets, asc_sign_idx)
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sodhita = ashtakavarga.calc_sodhita_av(result.get('bav', {}), planets, asc_sign_idx)
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# BUG-1209 (乙8): standard Trikona -> Ekadhipatya chain; raw values kept.
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sodhita = _load_local_module('ashtakavarga_shodhana').sodhita_chain(result.get('bav', {}), planets)
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_load_local_module('ashtakavarga_shodhana').attach_house_values(result.get('house_scores'), sodhita)
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yoga_pinda = result.get('yoga_pinda') or ashtakavarga.calc_yoga_pinda(result.get('bav', {}), planets, asc_sign_idx)
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result['pav'] = pav
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result['sodhita'] = sodhita
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@@ -8085,7 +8087,7 @@ class JyotishAPIHandler(BaseHTTPRequestHandler, VedastroEvidenceMixin, SynastryM
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'available': [
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{'key': 'sav_bav', 'label': 'SAV/BAV', 'status': 'active', 'source': 'scripts/ashtakavarga.py'},
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{'key': 'prastara_av', 'label': 'Prastara AV / PAV', 'status': 'active', 'source': 'scripts/ashtakavarga.py'},
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{'key': 'sodhita_av', 'label': 'Sodhita AV', 'status': 'active', 'source': 'scripts/ashtakavarga.py'},
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{'key': 'sodhita_av', 'label': 'Sodhita AV (Trikona + Ekadhipatya)', 'status': 'active', 'source': 'scripts/ashtakavarga_shodhana.py'},
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{'key': 'yoga_pinda', 'label': 'Yoga Pinda', 'status': 'active', 'source': 'scripts/ashtakavarga.py'},
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],
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'boundary': '当前按本地 BAV 贡献规则生成 SAV、PAV、Sodhita 与 Yoga Pinda；后续可继续加入 Sarvashtakavarga 规则版本对比。',
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@@ -7513,23 +7513,24 @@ def render_pl9_markdown(packet: dict) -> str:
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if sodhita_rows:
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out.extend([
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'',
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'#### Sodhita Ashtakavarga（本地减分结果）',
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'#### Sodhita Ashtakavarga（三方净化 + 单宫主净化）',
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'',
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'本表复用既有本地 Sodhita producer，按该 producer 的 Sun / Mars / Saturn 贡献扣减生成。它不等同于 PL9 第 54 页的 Trikona / Ekadhipatya reduction 前后矩阵；逐阶段规则、矩阵与外部数值 parity 未闭环，所有行保持 parameter_sensitive。',
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'逐行 BAV 先做三方净化（Trikona Shodhana），再做单宫主净化（Ekadhipatya Shodhana），净化后 SAV 为七星净化后 BAV 之和；原始 SAV 并列。外部数值 parity 未闭环，所有行保持 parameter_sensitive。',
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'',
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'| 项目 | 数值 | 状态 |',
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'|------|------|------|',
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f"| 方法 | {_md_cell(sodhita.get('method'))} | parameter_sensitive |",
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f"| 总分 | {_md_cell(sodhita_sav.get('total'))} | parameter_sensitive |",
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f"| 方法 | {_md_cell(sodhita.get('method_zh') or sodhita.get('method'))} | parameter_sensitive |",
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f"| 净化后总分 | {_md_cell(sodhita_sav.get('total'))} | parameter_sensitive |",
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'',
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'| 星座 | Sodhita SAV | 本地等级 | 状态 |',
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'|------|-------------|----------|------|',
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'| 星座 | 净化后 SAV | 原始 SAV | 状态 |',
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'|------|------------|----------|------|',
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])
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raw_scores = (sodhita.get('raw_sav') or {}).get('scores') or {}
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for row in sodhita_rows:
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if isinstance(row, dict):
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out.append(
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f"| {_md_cell(_humanize_reader_token(row.get('sign')))} | {_md_cell(row.get('score'))} | "
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f"{_md_cell(row.get('level'))} | parameter_sensitive |"
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f"{_md_cell(raw_scores.get(row.get('sign')))} | parameter_sensitive |"
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)
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pav = ashtakavarga.get('pav') if isinstance(ashtakavarga.get('pav'), dict) else {}
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pav_summary = pav.get('pav_summary') if isinstance(pav.get('pav_summary'), dict) else {}
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@@ -16490,9 +16491,11 @@ def cmd_full_reading(args):
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# ── Step 11: Ashtakavarga八分法 ──
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asht_data = None
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try:
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from ashtakavarga import calc_ashtakavarga, calc_prastara_av, calc_sodhita_av
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from ashtakavarga import calc_ashtakavarga, calc_prastara_av
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from ashtakavarga_shodhana import attach_house_values, sodhita_chain # BUG-1209
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asht_data = calc_ashtakavarga(planets, asc_idx)
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asht_data['sodhita'] = calc_sodhita_av(asht_data.get('bav', {}), planets, asc_idx)
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asht_data['sodhita'] = sodhita_chain(asht_data.get('bav', {}), planets)
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attach_house_values(asht_data.get('house_scores'), asht_data['sodhita'])
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asht_data['pav'] = calc_prastara_av(planets, asc_idx)
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report['modules']['ashtakavarga'] = asht_data
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except Exception as e:
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@@ -1310,19 +1310,34 @@ def render_pl9_parity_markdown(packet: dict) -> str:
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ashtakavarga = _dict(strengths.get('ashtakavarga'))
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sav = _dict(ashtakavarga.get('sav'))
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sav_scores = _dict(sav.get('scores'))
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# BUG-1209 (乙8): the main value is the Sodhita SAV (Trikona then
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# Ekadhipatya per BAV row); the raw value stands beside it.
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sodhita = _dict(ashtakavarga.get('sodhita'))
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sodhita_ok = sodhita.get('status') == 'executed'
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sodhita_scores = _dict(_dict(sodhita.get('sodhita_sav')).get('scores')) if sodhita_ok else {}
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sodhita_bav = _dict(sodhita.get('sodhita_bav')) if sodhita_ok else {}
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english = _pl9_report_language(packet) == 'en'
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if sav_scores:
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lines.extend([
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'### p51-p60 Ashtakavarga SAV / BAV / Pinda',
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'',
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f"- 方法：{_cell(ashtakavarga.get('method'))}",
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f"- BAV 校验：{_cell('all_valid' if ashtakavarga.get('all_bav_valid') else ashtakavarga.get('all_bav_valid'))}",
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])
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if sodhita_ok:
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lines.append(
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f"- Reduction: {_cell(sodhita.get('method'))}" if english
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else f"- 净化：{_cell(sodhita.get('method_zh') or sodhita.get('method'))}；原始值并列"
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)
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lines.extend([
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'',
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'| Sign | SAV score |',
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'|------|-----------|',
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'| Sign | Sodhita SAV | Raw SAV |' if sodhita_ok else '| Sign | Raw SAV |',
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'|------|-------------|---------|' if sodhita_ok else '|------|---------|',
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])
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for sign in globals().get('SIGNS', []):
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if sign in sav_scores:
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lines.append(f"| {_cell(_token(sign))} | {_cell(sav_scores.get(sign))} |")
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main = f"{_cell(sodhita_scores.get(sign))} | " if sodhita_ok else ''
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lines.append(f"| {_cell(_token(sign))} | {main}{_cell(sav_scores.get(sign))} |")
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lines.append('')
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full_house_scores = ashtakavarga.get('house_scores_full')
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if isinstance(full_house_scores, dict):
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@@ -1335,8 +1350,8 @@ def render_pl9_parity_markdown(packet: dict) -> str:
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lines.extend([
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'### p53 Ashtakavarga 完整宫位分数',
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'',
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'| House | Sign | SAV | Lagna BAV | SAV + Lagna |',
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'|-------|------|-----|-----------|-------------|',
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'| House | Sign | Sodhita SAV | Raw SAV | Lagna BAV | Raw SAV + Lagna |',
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'|-------|------|-------------|---------|-----------|-----------------|',
|
||||
])
|
||||
# `house_scores_full[*].sav_score` is the with-Lagna total (386
|
||||
# scale), never plain SAV (BUG-1200). Split it from the engine's
|
||||
@@ -1361,15 +1376,32 @@ def render_pl9_parity_markdown(packet: dict) -> str:
|
||||
sav_value, lagna_value = parts if split else (None, None)
|
||||
lines.append(
|
||||
f"| {_cell(row.get('house'))} | {_cell(_token(row.get('sign')))} | "
|
||||
f"{_cell(sodhita_scores.get(row.get('sign')))} | "
|
||||
f"{_cell(sav_value)} | {_cell(lagna_value)} | {_cell(row.get('sav_score'))} |"
|
||||
)
|
||||
if split:
|
||||
sodhita_total = sum(sodhita_scores.values()) if len(sodhita_scores) == 12 else '-'
|
||||
lines.append(
|
||||
f"| 合计 | - | {sum(parts[0] for parts in splits)} | "
|
||||
f"| 合计 | - | {sodhita_total} | {sum(parts[0] for parts in splits)} | "
|
||||
f"{sum(parts[1] for parts in splits)} | {sum(row['sav_score'] for row in full_rows)} |"
|
||||
)
|
||||
lines.append('')
|
||||
bav = _dict(ashtakavarga.get('bav'))
|
||||
if bav and sodhita_bav:
|
||||
signs = globals().get('SIGNS', [])
|
||||
lines.extend([
|
||||
('Sodhita BAV (after Trikona and Ekadhipatya reduction):' if english else '净化后 BAV（三方净化 + 单宫主净化）：'),
|
||||
'',
|
||||
'| Planet | Sodhita total | Aries | Taurus | Gemini | Cancer | Leo | Virgo | Libra | Scorpio | Sagittarius | Capricorn | Aquarius | Pisces |',
|
||||
'|--------|---------------|-------|--------|--------|--------|-----|-------|-------|---------|-------------|-----------|----------|--------|',
|
||||
])
|
||||
for planet in ('Sun', 'Moon', 'Mars', 'Mercury', 'Jupiter', 'Venus', 'Saturn'):
|
||||
reduced = _list(sodhita_bav.get(planet))
|
||||
if len(reduced) != 12:
|
||||
continue
|
||||
cells = ' | '.join(_cell(value) for value in reduced)
|
||||
lines.append(f"| {_cell(_token(planet))} | {_cell(sum(reduced))} | {cells} |")
|
||||
lines.extend(['', 'Raw BAV:' if english else '原始 BAV：', ''])
|
||||
if bav:
|
||||
signs = globals().get('SIGNS', [])
|
||||
lines.extend([
|
||||
|
||||
@@ -0,0 +1,46 @@
|
||||
"""Refresh one leaf of the report density fixture from the real engine (BUG-1209).
|
||||
|
||||
`frontend/tests/fixtures/report-density-fictional-engine.json` is a 2026-09-23
|
||||
real-engine snapshot without a capture script. The Ashtakavarga reduction moved
|
||||
to the standard Trikona -> Ekadhipatya chain, so only
|
||||
`worksheets.strengths_and_scores.ashtakavarga` is recaptured here, from the
|
||||
fixture's own recorded input (fictional, 2000-01-01 12:00 UT, 0/0); every other
|
||||
leaf stays byte-identical.
|
||||
|
||||
PYTHONHASHSEED=0 python3 scripts/research/refresh_density_fixture_ashtakavarga.py
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
ROOT = Path(__file__).resolve().parents[2]
|
||||
sys.path[:0] = [str(ROOT), str(ROOT / "scripts")]
|
||||
|
||||
from scripts.jyotish_engine import build_professional_report_reference_packet, cmd_full_reading # noqa: E402
|
||||
from scripts.professional_report_reference import _export_args # noqa: E402
|
||||
|
||||
FIXTURE = ROOT / "frontend/tests/fixtures/report-density-fictional-engine.json"
|
||||
|
||||
|
||||
def main() -> int:
|
||||
text = FIXTURE.read_text(encoding="utf-8")
|
||||
fixture = json.loads(text)
|
||||
case = dict(fixture["fixtureProvenance"]["input"])
|
||||
case.setdefault("age", int(case["target_year"]) - int(case["year"]))
|
||||
packet = build_professional_report_reference_packet(cmd_full_reading(type("Args", (), dict(case))()), _export_args(dict(case)), [])
|
||||
fixture["worksheets"]["strengths_and_scores"]["ashtakavarga"] = packet["worksheets"]["strengths_and_scores"]["ashtakavarga"]
|
||||
fixture["fixtureProvenance"]["refreshed"] = {
|
||||
"leaf": "worksheets.strengths_and_scores.ashtakavarga",
|
||||
"reason": "BUG-1209 standard Sodhita chain (TASK-astrologer-rulings-batch1-20261003 T7)",
|
||||
"generator": "scripts/research/refresh_density_fixture_ashtakavarga.py",
|
||||
}
|
||||
indent = 2 if text.startswith("{\n ") else None
|
||||
FIXTURE.write_text(json.dumps(fixture, ensure_ascii=False, indent=indent) + ("\n" if text.endswith("\n") else ""), encoding="utf-8")
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
Reference in New Issue
Block a user