# NOTE: This script was sanitized for the public repository in v6.1.9. # It assumes it is run from the repository root unless JYOTISH_BENCHMARK_ROOT # or JYOTISH_SKILL_SCRIPT is provided. Raw output directories are generated locally # and are intentionally not committed. #!/usr/bin/env python3 """Ashtakavarga contribution-table arbitration. Compares the local skill BPHS v2.0 BAV contribution matrix with PyJHora's const.ashtaka_varga_dict at the table-definition level, not chart-output level. This avoids confusing table lineage differences with runtime bugs. """ import csv import json import sys from pathlib import Path import swisseph as swe ROOT = Path(__file__).resolve().parents[1] OUT = ROOT / 'outputs' REPORT = OUT / 'jyotish_benchmark_round6b_ashtakavarga_table_arbitration.md' MATRIX = OUT / 'ashtakavarga_table_arbitration_matrix.csv' SKILL_SCRIPTS = Path(__file__).resolve().parents[2] / 'scripts' PYJHORA_SITE = Path(__import__('os').environ.get('PYJHORA_SITE', '')) PLANETS = ['Sun', 'Moon', 'Mars', 'Mercury', 'Jupiter', 'Venus', 'Saturn', 'Lagna'] EXPECTED_TOTALS = { 'Sun': 48, 'Moon': 49, 'Mars': 39, 'Mercury': 54, 'Jupiter': 56, 'Venus': 52, 'Saturn': 39, 'Lagna': 49, } SEVEN_PLANETS = PLANETS[:7] def load_local_table(): if str(SKILL_SCRIPTS) not in sys.path: sys.path.insert(0, str(SKILL_SCRIPTS)) from ashtakavarga import BAV_CONTRIBUTION return BAV_CONTRIBUTION def patch_swisseph_for_pyjhora(): for name in ['SIDM_KRISHNAMURTI_VP291', 'SIDM_TRUE_MULA', 'SIDM_TRUE_CITRA', 'SIDM_TRUE_REVATI']: if not hasattr(swe, name): setattr(swe, name, getattr(swe, 'SIDM_KRISHNAMURTI', 1)) def load_pyjhora_table(): if str(PYJHORA_SITE) not in sys.path: sys.path.insert(0, str(PYJHORA_SITE)) patch_swisseph_for_pyjhora() from jhora import const table = {} for pidx, planet in enumerate(PLANETS): row = const.ashtaka_varga_dict[str(pidx)] table[planet] = {source: sorted(row[sidx]) for sidx, source in enumerate(PLANETS)} return table def normalize(values): return sorted(int(v) for v in values) def compare_tables(local, pyjhora): rows = [] totals = [] for planet in PLANETS: local_total = 0 py_total = 0 for source in PLANETS: lv = normalize(local[planet][source]) pv = normalize(pyjhora[planet][source]) local_total += len(lv) py_total += len(pv) rows.append({ 'planet': planet, 'source': source, 'local_houses': ' '.join(map(str, lv)), 'pyjhora_houses': ' '.join(map(str, pv)), 'local_count': len(lv), 'pyjhora_count': len(pv), 'status': 'match' if lv == pv else 'mismatch', 'missing_in_pyjhora': ' '.join(map(str, sorted(set(lv) - set(pv)))), 'extra_in_pyjhora': ' '.join(map(str, sorted(set(pv) - set(lv)))), }) expected = EXPECTED_TOTALS[planet] totals.append({ 'planet': planet, 'expected_total': expected, 'local_total': local_total, 'local_valid': local_total == expected, 'pyjhora_total': py_total, 'pyjhora_valid': py_total == expected, 'delta_pyjhora_minus_expected': py_total - expected, }) return rows, totals def write_outputs(rows, totals): with MATRIX.open('w', newline='') as f: writer = csv.DictWriter(f, fieldnames=list(rows[0].keys())) writer.writeheader() writer.writerows(rows) mismatch_rows = [r for r in rows if r['status'] == 'mismatch'] local_sav_total = sum(t['local_total'] for t in totals if t['planet'] in SEVEN_PLANETS) pyjhora_sav_total = sum(t['pyjhora_total'] for t in totals if t['planet'] in SEVEN_PLANETS) local_full_total = sum(t['local_total'] for t in totals) pyjhora_full_total = sum(t['pyjhora_total'] for t in totals) lines = [] lines.append('# Jyotish benchmark 第六轮补充：Ashtakavarga 表级口径仲裁') lines.append('') lines.append('生成时间：2026-06-03') lines.append('') lines.append('## 1. 仲裁目的') lines.append('') lines.append('- 第六轮图表输出对标显示：当前 skill 与 PyJHora 的 BAV/SAV 不完全一致。') lines.append('- 本轮不再比较具体命盘，而是直接比较两边的 BAV 贡献表定义，判断差异是运行 bug 还是表级口径差异。') lines.append('- 样本与表格均不包含用户个人资料。') lines.append('') lines.append('## 2. 固定总分校验') lines.append('') lines.append('| Planet | Expected | Local total | Local valid | PyJHora total | PyJHora valid | Delta |') lines.append('|---|---:|---:|---|---:|---|---:|') for t in totals: lines.append(f"| {t['planet']} | {t['expected_total']} | {t['local_total']} | {t['local_valid']} | {t['pyjhora_total']} | {t['pyjhora_valid']} | {t['delta_pyjhora_minus_expected']} |") lines.append('') lines.append('## 3. 总量对比') lines.append('') lines.append('| Metric | Local skill | PyJHora table | Expected |') lines.append('|---|---:|---:|---:|') lines.append(f'| 7-planet SAV table total | {local_sav_total} | {pyjhora_sav_total} | 337 |') lines.append(f'| Full table total incl. Lagna | {local_full_total} | {pyjhora_full_total} | 386 |') lines.append('') lines.append('## 4. 不一致的贡献表项') lines.append('') lines.append(f'共 {len(mismatch_rows)} 个 planet/source 表项不一致。') lines.append('') lines.append('| Planet BAV | Source | Local houses | PyJHora houses | Missing in PyJHora | Extra in PyJHora |') lines.append('|---|---|---|---|---|---|') for r in mismatch_rows: lines.append(f"| {r['planet']} | {r['source']} | {r['local_houses']} | {r['pyjhora_houses']} | {r['missing_in_pyjhora']} | {r['extra_in_pyjhora']} |") lines.append('') lines.append('## 5. 仲裁结论') lines.append('') if len(mismatch_rows) == 0 and local_sav_total == 337 and pyjhora_sav_total == 337: lines.append('- 当前 skill 与 PyJHora `const.ashtaka_varga_dict` 的贡献表项已 100% 对齐。') lines.append('- 两边均满足 Ashtakavarga 固定总量不变量：7行星 SAV=337，含 Lagna full total=386。') lines.append('- 决策：第六轮初始差异已由 v2.1 表项校准修复，Ashtakavarga 表定义层通过。') elif local_sav_total == 337 and local_full_total == 386 and (pyjhora_sav_total != 337 or pyjhora_full_total != 386): lines.append('- 当前 skill 的表满足传统 Ashtakavarga 总量不变量：7行星 SAV=337，含 Lagna full total=386。') lines.append('- PyJHora 当前 `const.ashtaka_varga_dict` 在表定义层未满足这些总量不变量，因此第六轮 BAV/SAV 不一致不能判为当前 skill 的运行 bug。') lines.append('- 决策：保留当前 skill 表作为默认口径；在 benchmark 报告中把 PyJHora Ashtakavarga 标记为“表级口径差异/非硬失败”。') else: lines.append('- 表级仲裁未能直接闭环，需要继续引入 JHora/经典例题。') lines.append('- 后续若引入其他软件对标，必须先比较贡献表项和 SAV 总量，不得直接把口径差异判为运行 bug。') lines.append('') lines.append('## 6. 对第六轮状态的影响') lines.append('') lines.append('- Ashtakavarga 计算层：当前 skill 内部不变量通过，可暂列为“默认 BPHS v2.0 口径通过”。') lines.append('- 与 PyJHora 的差异：降级为“外部引擎表口径差异”，不作为 P0/P1 bug。') lines.append('- 解释层使用要求：输出 Ashtakavarga 时应声明使用 BPHS v2.0/SAV=337 口径。') REPORT.write_text('\n'.join(lines)) return { 'report': str(REPORT), 'matrix': str(MATRIX), 'mismatch_items': len(mismatch_rows), 'local_sav_total': local_sav_total, 'pyjhora_sav_total': pyjhora_sav_total, 'local_full_total': local_full_total, 'pyjhora_full_total': pyjhora_full_total, } def main(): local = load_local_table() pyjhora = load_pyjhora_table() rows, totals = compare_tables(local, pyjhora) print(json.dumps(write_outputs(rows, totals), ensure_ascii=False, indent=2)) if __name__ == '__main__': main()