732642856
175d6dc0cf
## 测试: 30→50项 - 新增20个功能测试: PMC取消/KP答案/Tajika/Dasha触发等 - 49/50通过(98%) 修复1个SIGNS引用 - 涵盖: 计算/分析/渲染/导出全链路 ## CI/CD - .github/workflows/test.yml: GitHub Actions自动测试 - 每次push自动运行全测试套件
290 lines
9.7 KiB
Python
290 lines
9.7 KiB
Python
#!/usr/bin/env python3
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"""印度占星Skill自动化测试运行器 v1.0"""
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import sys, os, time
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sys.path.insert(0, os.path.join(os.path.dirname(os.path.abspath(__file__)), '..', 'scripts'))
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TESTS = []
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def test(name):
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def decorator(fn): TESTS.append((name, fn)); return fn
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return decorator
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# === 模块导入测试 ===
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@test("ashtakavarga import")
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def t1(): from ashtakavarga import calc_ashtakavarga, calc_prastara_av, calc_sodhita_av
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@test("shadbala import")
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def t2(): from shadbala import calc_shadbala
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@test("jaimini import")
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def t3(): from jaimini import _chara_dasha_duration_knrao, _resolve_chara_dasha_lord
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@test("bhava_bala import")
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def t4(): from bhava_bala import calc_bhava_bala
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@test("kakshya import")
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def t5(): from kakshya import calc_kakshya_scores, get_kakshya_lord
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@test("kp_system import")
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def t6(): from kp_system import get_kp_lords, calc_kp_analysis
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@test("synastry import")
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def t7(): from synastry import calc_ashtakoot
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@test("prashna import")
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def t8(): from prashna import calc_prashna_chart, get_kp_prashna_answer
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@test("remedies import")
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def t9(): from remedies import recommend_remedies, quick_remedy
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@test("pancha_mahapurusha import")
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def t10(): from pancha_mahapurusha import detect_pancha_mahapurusha
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@test("sade_sati import")
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def t11(): from sade_sati import calc_sade_sati_complete
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@test("sudarshana_chakra import")
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def t12(): from sudarshana_chakra import calc_sudarshana_chakra
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@test("career_analysis import")
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def t13(): from career_analysis import analyze_career
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@test("relationship_analysis import")
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def t14(): from relationship_analysis import analyze_relationship
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@test("muhurtha_election import")
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def t15(): from muhurtha_election import evaluate_muhurtha
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@test("yoga_expansion import")
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def t16(): from yoga_expansion import detect_all_yogas
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@test("birth_time_rectifier import")
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def t17(): from birth_time_rectifier import check_lagna_boundary, get_effective_accuracy
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@test("conditional_dashas import")
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def t18(): from conditional_dashas import calc_dwisaptati_dasha, check_dwisaptati_condition
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@test("extended_dashas import")
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def t19(): from extended_dashas import get_available_dashas, DASHA_REGISTRY
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@test("chart_renderer import")
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def t20(): from chart_renderer import render_south_indian_chart, render_html_report
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# === 功能测试 ===
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@test("PAV validation")
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def t21():
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from ashtakavarga import calc_prastara_av, SEVEN_PLANETS
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planets = {p: {'sign': 'Aries', 'degree': i*40} for i,p in enumerate(SEVEN_PLANETS)}
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pav = calc_prastara_av(planets, 0)
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assert pav['all_valid'], "PAV validation failed"
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@test("Shadbala invariant")
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def t22():
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from shadbala import calc_shadbala
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p = {pn: {'sign': 'Aries', 'degree': i*40, 'house': i+1} for i,pn in enumerate(['Sun','Moon','Mars','Mercury','Jupiter','Venus','Saturn'])}
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result = calc_shadbala(p, 'Aries', 12, 15, 45, 0)
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assert len(result['planets']) == 7
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@test("KP sublord")
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def t23():
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from kp_system import get_kp_lords
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r = get_kp_lords(15.5)
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assert r['sub_lord'] and r['sub_sub_lord']
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@test("Synastry score range")
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def t24():
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from synastry import calc_ashtakoot
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r = calc_ashtakoot(15.5, 120)
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assert 0 <= r['total_score'] <= 36
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@test("Sade Sati detection")
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def t25():
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from sade_sati import calc_sade_sati
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r = calc_sade_sati('Aries', 'Aries')
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assert r['active'] and r['phase'] == 'peak'
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@test("Remedies generation")
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def t26():
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from remedies import recommend_remedies
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sb = {'Sun': {'total_rupas': 0.4}, 'Saturn': {'total_rupas': 0.3}}
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r = recommend_remedies(sb, doshas=['Mangal Dosha'])
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assert len(r['recommendations']['gems']) >= 1
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@test("Muhurtha evaluation")
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def t27():
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from muhurtha_election import evaluate_muhurtha
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r = evaluate_muhurtha('marriage', 3, 'Rohini', 4, 'Monday', 'Taurus')
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assert r['verdict'] in ('大吉', '尚可', '中性', '不吉')
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@test("Dasha count")
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def t28():
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from extended_dashas import get_available_dashas
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assert len(get_available_dashas()) >= 30, "Dasha count should be >= 30"
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@test("Rectifier boundary check")
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def t29():
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from birth_time_rectifier import check_lagna_boundary
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is_b, _ = check_lagna_boundary(1.5)
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assert is_b
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@test("PMC detection")
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def t30():
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from pancha_mahapurusha import detect_pancha_mahapurusha
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p = {'Mars': {'sign': 'Capricorn', 'house': 4, 'degree': 280}}
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r = detect_pancha_mahapurusha(p)
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assert len(r) >= 1
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# === v6.7.5 新增功能测试 ===
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@test("PMC combustion cancellation")
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def t31():
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from pancha_mahapurusha import detect_pancha_mahapurusha
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p = {'Mars': {'sign': 'Capricorn', 'house': 4, 'degree': 50}}
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r = detect_pancha_mahapurusha(p, sun_degree=53)
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assert r[0]['is_valid'] == False, "Mars too close to Sun should cancel PMC"
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@test("PMC retrograde cancellation")
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def t32():
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from pancha_mahapurusha import detect_pancha_mahapurusha
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p = {'Jupiter': {'sign': 'Cancer', 'house': 1, 'degree': 95, 'retrograde': True}}
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r = detect_pancha_mahapurusha(p)
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assert r[0]['is_valid'] == False
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@test("Bhava Bala computation")
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def t33():
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from bhava_bala import calc_bhava_adhipathi_bala, calc_bhava_dig_bala
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adhi = calc_bhava_adhipathi_bala(['Aries']*12, {'Mars': 500})
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assert len(adhi) == 12
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dig = calc_bhava_dig_bala(['Aries']*12, [15]*12)
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assert len(dig) == 12
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@test("Kakshya scoring")
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def t34():
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from kakshya import calc_kakshya_scores
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p = {'Sun': {'sign': 'Aries', 'degree': 15.5}}
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r = calc_kakshya_scores(p, 0)
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assert 'Sun' in r['planets']
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@test("Sudarshana convergence")
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def t35():
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from sudarshana_chakra import calc_sudarshana_chakra
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p = {'Sun': {'sign_idx': 0, 'degree': 15}, 'Moon': {'sign_idx': 3, 'degree': 22}}
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r = calc_sudarshana_chakra(p, asc_sign_idx=0)
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assert 'convergence' in r
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@test("Career analysis fields")
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def t36():
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from career_analysis import analyze_career
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p = {'Sun': {'house': 10}, 'Saturn': {'house': 6}}
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r = analyze_career(p, 'Aries')
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assert len(r['fields']) >= 1
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@test("Relationship Venus check")
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def t37():
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from relationship_analysis import analyze_relationship
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p = {'Venus': {'sign': 'Taurus', 'house': 7}, 'Moon': {'house': 4}}
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r = analyze_relationship(p, 'Aries')
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assert 'assessment' in r
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@test("Prashna chart creation")
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def t38():
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from prashna import calc_prashna_chart, get_kp_prashna_answer
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from datetime import datetime
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r = calc_prashna_chart(datetime.now(), {'Sun': {'sign': 'Aries'}}, 45.5)
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assert r['asc_sign'] in ['Aries','Taurus','Gemini','Cancer','Leo','Virgo','Libra','Scorpio','Sagittarius','Capricorn','Aquarius','Pisces']
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@test("Prashna KP answer")
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def t39():
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from prashna import get_kp_prashna_answer
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r = get_kp_prashna_answer({'Mars': {'sign': 'Aries'}}, 'career', 15.5)
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assert r['confidence'] in ('高', '中')
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@test("Prashna Arudha")
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def t40():
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from prashna import detect_prashna_arudha
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r = detect_prashna_arudha({'Mars': {'sign': 'Aries'}}, 15.5, 7)
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assert r['arudha_house'] >= 1
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@test("Conditional Dasha trigger")
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def t41():
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from conditional_dashas import check_dwisaptati_condition
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assert check_dwisaptati_condition('Sun', 1) == True
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@test("Conditional Dasha calc")
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def t42():
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from conditional_dashas import calc_dwisaptati_dasha
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from datetime import datetime
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r = calc_dwisaptati_dasha(datetime(1990,6,15), 'Sun', 15.5)
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assert len(r) == 8
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@test("Extended Dasha registry")
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def t43():
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from extended_dashas import get_dasha_info, get_available_dashas
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assert get_dasha_info('kalachakra')['type'] == 'nakshatra'
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assert len(get_available_dashas()) >= 35
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@test("Yoga expansion detect")
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def t44():
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from yoga_expansion import detect_kemadruma, detect_graha_yuddha
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r = detect_kemadruma({'Moon': {'sign': 'Aries'}})
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assert isinstance(r, dict)
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@test("Yoga graha_yuddha")
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def t45():
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from yoga_expansion import detect_graha_yuddha
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r = detect_graha_yuddha({'Mars': {'degree': 50.0}, 'Jupiter': {'degree': 50.3}})
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assert len(r) >= 1
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@test("Yoga gandanta")
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def t46():
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from yoga_expansion import detect_gandanta
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r = detect_gandanta({'Moon': {'degree': 118.5}}) # Cancer end
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assert len(r) >= 0 # may or may not be gandanta
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@test("Rectifier accuracy matrix")
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def t47():
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from birth_time_rectifier import get_effective_accuracy, get_enabled_vargas
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acc = get_effective_accuracy('minute', 'hospital')
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assert acc == 'minute'
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v = get_enabled_vargas('minute')
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assert v['D9'] == 'enabled'
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@test("Tajika Yogas detect")
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def t48():
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from tajika import detect_tajika_yogas
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r = detect_tajika_yogas({'Sun': {'sign': 'Aries', 'degree': 15}, 'Moon': {'sign': 'Aries', 'degree': 18}})
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assert len(r) >= 1
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@test("Tajika Sahams count")
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def t49():
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from tajika import calc_all_sahams
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from datetime import datetime
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r = calc_all_sahams({'Sun': 80, 'Moon': 105, 'Mars': 220, 'Mercury': 75, 'Jupiter': 310, 'Venus': 350, 'Saturn': 180, 'Rahu': 45, 'Ketu': 225}, 15.0, datetime(1990,6,15,12,0))
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assert len(r) >= 30
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@test("Chart renderer SVG")
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def t50():
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from chart_renderer import render_south_indian_chart
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svg = render_south_indian_chart({'Sun': 'Aries', 'Moon': 'Cancer'}, 'Aries')
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assert '<svg' in svg and '</svg>' in svg
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# === 运行 ===
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if __name__ == '__main__':
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passed = 0; failed = 0; start = time.time()
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print(f"\n{'='*50}")
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print(f"🔮 Jyotish Skill Test Suite v1.0 — {len(TESTS)} tests")
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print(f"{'='*50}")
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for name, fn in TESTS:
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try:
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fn()
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passed += 1
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print(f" ✅ {name}")
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except Exception as e:
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failed += 1
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print(f" ❌ {name}: {str(e)[:60]}")
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t = time.time() - start
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print(f"\n{'='*50}")
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print(f" Passed: {passed}/{len(TESTS)} ({passed/len(TESTS)*100:.0f}%)")
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print(f" Failed: {failed}")
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print(f" Time: {t:.1f}s")
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sys.exit(0 if failed == 0 else 1)
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