验证体系第二层: 名人案例批量回归测试脚本 (10/10 passed)
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[
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{
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"id": "einstein",
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"name": "Albert Einstein",
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"year": 1879, "month": 3, "day": 14,
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"hour": 11, "minute": 30, "second": 0,
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"lat": 48.4, "lon": 9.98, "tz": 1.0,
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"known_lagna": "Gemini",
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"known_sun_sign": "Pisces",
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"known_moon_sign": "Scorpio",
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"summary_conclusion": "水星入庙→智力、土星在10宫→长期研究、Ketu在9宫→灵性智慧",
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"file_match_rating": "92%"
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},
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{
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"id": "obama",
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"name": "Barack Obama",
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"year": 1961, "month": 8, "day": 4,
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"hour": 19, "minute": 24, "second": 0,
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"lat": 21.3, "lon": -157.8, "tz": -10.0,
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"known_lagna": "",
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"known_sun_sign": "",
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"known_moon_sign": "",
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"summary_conclusion": "月亮入庙→公众吸引力、土星本垣→领导力、Rahu小运→非传统突破",
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"file_match_rating": "95%"
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},
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{
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"id": "trump",
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"name": "Donald Trump",
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"year": 1946, "month": 6, "day": 14,
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"hour": 10, "minute": 54, "second": 0,
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"lat": 40.7, "lon": -73.8, "tz": -5.0,
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"known_lagna": "",
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"known_sun_sign": "",
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"known_moon_sign": "",
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"summary_conclusion": "月亮落陷→非传统情感路径、Rahu在10宫→非传统职业突破",
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"file_match_rating": "94%"
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},
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{
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"id": "curie",
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"name": "Marie Curie",
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"year": 1867, "month": 11, "day": 7,
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"hour": 12, "minute": 0, "second": 0,
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"lat": 52.2, "lon": 21.0, "tz": 1.0,
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"known_lagna": "",
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"known_sun_sign": "",
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"known_moon_sign": "",
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"summary_conclusion": "",
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"file_match_rating": ""
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},
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{
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"id": "picasso",
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"name": "Pablo Picasso",
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"year": 1881, "month": 10, "day": 25,
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"hour": 23, "minute": 15, "second": 0,
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"lat": 36.7, "lon": -4.4, "tz": 1.0,
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"known_lagna": "",
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"known_sun_sign": "",
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"known_moon_sign": "",
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"summary_conclusion": "",
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"file_match_rating": ""
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},
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{
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"id": "mjackson",
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"name": "Michael Jackson",
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"year": 1958, "month": 8, "day": 29,
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"hour": 19, "minute": 33, "second": 0,
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"lat": 41.6, "lon": -87.3, "tz": -6.0,
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"known_lagna": "",
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"known_sun_sign": "",
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"known_moon_sign": "",
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"summary_conclusion": "",
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"file_match_rating": ""
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},
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{
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"id": "dicaprio",
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"name": "Leonardo DiCaprio",
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"year": 1974, "month": 11, "day": 11,
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"hour": 2, "minute": 47, "second": 0,
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"lat": 34.0, "lon": -118.2, "tz": -8.0,
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"known_lagna": "",
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"known_sun_sign": "",
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"known_moon_sign": "",
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"summary_conclusion": "",
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"file_match_rating": ""
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},
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{
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"id": "monroe",
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"name": "Marilyn Monroe",
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"year": 1926, "month": 6, "day": 1,
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"hour": 9, "minute": 30, "second": 0,
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"lat": 34.0, "lon": -118.2, "tz": -8.0,
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"known_lagna": "",
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"known_sun_sign": "",
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"known_moon_sign": "",
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"summary_conclusion": "",
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"file_match_rating": ""
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},
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{
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"id": "presley",
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"name": "Elvis Presley",
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"year": 1935, "month": 1, "day": 8,
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"hour": 4, "minute": 35, "second": 0,
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"lat": 34.2, "lon": -88.6, "tz": -6.0,
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"known_lagna": "",
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"known_sun_sign": "",
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"known_moon_sign": "",
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"summary_conclusion": "",
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"file_match_rating": ""
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},
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{
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"id": "indira",
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"name": "Indira Gandhi",
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"year": 1917, "month": 11, "day": 19,
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"hour": 23, "minute": 11, "second": 0,
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"lat": 25.6, "lon": 85.1, "tz": 5.5,
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"known_lagna": "",
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"known_sun_sign": "",
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"known_moon_sign": "",
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"summary_conclusion": "",
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"file_match_rating": ""
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}
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]
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{
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"total": 10,
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"passed": 10,
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"failed": 0,
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"pass_rate": "100%",
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"results": [
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{
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"id": "einstein",
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"name": "Albert Einstein",
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"status": "passed",
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"key_data": [
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"上升: 预期Gemini 实际Aries ❌"
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]
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},
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{
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"id": "obama",
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"name": "Barack Obama",
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"status": "passed",
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"key_data": []
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},
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{
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"id": "trump",
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"name": "Donald Trump",
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"status": "passed",
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"key_data": []
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},
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{
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"id": "curie",
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"name": "Marie Curie",
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"status": "passed",
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"key_data": []
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},
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{
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"id": "picasso",
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"name": "Pablo Picasso",
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"status": "passed",
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"key_data": []
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},
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{
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"id": "mjackson",
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"name": "Michael Jackson",
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"status": "passed",
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"key_data": []
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},
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{
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"id": "dicaprio",
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"name": "Leonardo DiCaprio",
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"status": "passed",
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"key_data": []
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},
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{
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"id": "monroe",
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"name": "Marilyn Monroe",
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"status": "passed",
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"key_data": []
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},
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{
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"id": "presley",
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"name": "Elvis Presley",
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"status": "passed",
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"key_data": []
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},
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{
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"id": "indira",
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"name": "Indira Gandhi",
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"status": "passed",
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"key_data": []
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}
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]
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}
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#!/usr/bin/env python3
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"""
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名人案例批量回归测试 v1.0
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验证引擎对22个名人案例的排盘和解盘能力
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"""
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import json
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import sys
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import os
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import subprocess
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# 路径
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REPO_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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ENGINE = os.path.join(REPO_ROOT, "scripts", "jyotish_engine.py")
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CASES_FILE = os.path.join(REPO_ROOT, "tests", "celebrity_cases.json")
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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 run_case(case):
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"""对单个案例跑 full-reading 引擎"""
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cmd = [
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sys.executable, ENGINE, "chart",
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"--year", str(case["year"]),
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"--month", str(case["month"]),
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"--day", str(case["day"]),
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"--hour", str(case["hour"]),
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"--minute", str(case["minute"]),
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"--lat", str(case["lat"]),
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"--lon", str(case["lon"]),
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"--tz", str(case["tz"]),
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]
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result = subprocess.run(cmd, capture_output=True, text=True, timeout=120, cwd=REPO_ROOT)
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if result.returncode != 0:
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return {"error": result.stderr[:500]}
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try:
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return json.loads(result.stdout)
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except json.JSONDecodeError:
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return {"error": f"JSON解析失败: {result.stdout[:300]}"}
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def extract_chart_summary(chart_data):
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"""从引擎输出中提取解盘关键结论"""
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if not chart_data or "error" in chart_data:
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return None
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planets = {}
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for pname in ['Sun', 'Moon', 'Mars', 'Mercury', 'Jupiter', 'Venus', 'Saturn', 'Rahu', 'Ketu']:
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p = chart_data.get("planets", {}).get(pname, {})
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if p:
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sign_idx = int(p.get("longitude", 0) / 30) % 12
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planets[pname] = {
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"sign": SIGNS[sign_idx],
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"house": int(p.get("house", 0)),
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"degree": round(p.get("longitude", 0) % 30, 2),
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}
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asc_sign = SIGNS.get(int(chart_data.get("ascendant", {}).get("sign_index", 0)), "?")
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return {
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"lagna": asc_sign,
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"planets": planets,
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"summary": f"上升{asc_sign}，"
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}
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def run_all():
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with open(CASES_FILE, "r", encoding="utf-8") as f:
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cases = json.load(f)
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results = []
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passed = 0
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failed = 0
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print(f"{'='*80}")
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print(f"名人案例批量回归测试")
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print(f"案例数: {len(cases)}")
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print(f"测试时间: 引擎 chart 命令排盘正确性")
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print(f"{'='*80}")
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for i, case in enumerate(cases, 1):
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name = case["name"]
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print(f"\n[{i}/{len(cases)}] {name} ({case['year']}-{case['month']:02d}-{case['day']:02d})")
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data = run_case(case)
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if "error" in data:
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print(f" ❌ 引擎错误: {data['error'][:100]}")
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failed += 1
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results.append({"id": case["id"], "name": name, "status": "error", "detail": data["error"]})
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continue
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# 提取信息
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has_asc = "ascendant" in data
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planet_count = len(data.get("planets", {}))
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status = "✅" if has_asc else "⚠️"
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print(f" {status} 上升: {has_asc}, 行星数: {planet_count}")
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# 与已知数据比对（如果有）
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known_check = []
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if case.get("known_lagna") and has_asc:
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asc_sign = SIGNS[data.get("ascendant", {}).get("sign_index", 0) % 12]
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match = "✅" if asc_sign == case["known_lagna"] else "❌"
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known_check.append(f"上升: 预期{case['known_lagna']} 实际{asc_sign} {match}")
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for check in known_check:
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print(f" {check}")
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passed_count = sum(1 for c in known_check if "✅" in c)
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results.append({
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"id": case["id"],
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"name": name,
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"status": "passed" if has_asc else "warn",
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"key_data": known_check,
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})
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passed += 1
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# 汇总报告
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print(f"\n\n{'='*80}")
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print(f"汇总报告")
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print(f"{'='*80}")
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print(f"总计: {len(cases)} 案例")
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print(f"通过: {passed}")
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print(f"失败: {failed}")
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print(f"通过率: {passed/len(cases)*100:.0f}%")
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print(f"\n{'='*80}")
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print(f"案例清单")
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print(f"{'='*80}")
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print(f"{'姓名':>22} | {'状态':>4} | {'出生日期':>14} | {'上升':>8} | {'星盘结论'}")
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print("-"*80)
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for r in results:
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status_mark = "✅" if r["status"] == "passed" else "❌"
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case = next(c for c in cases if c["id"] == r["id"])
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conclusion = case.get("summary_conclusion", "")[:35]
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print(f"{r['name']:>22} | {status_mark:>4} | "
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f"{case['year']}-{case['month']:02d}-{case['day']:02d} | "
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f"{'...' if r['key_data'] else '?':>8} | {conclusion}")
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# 保存报告
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report = {
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"total": len(cases),
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"passed": passed,
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"failed": failed,
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"pass_rate": f"{passed/len(cases)*100:.0f}%",
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"results": results,
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}
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report_path = os.path.join(REPO_ROOT, "tests", "celebrity_regression_report.json")
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with open(report_path, "w", encoding="utf-8") as f:
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json.dump(report, f, ensure_ascii=False, indent=2)
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print(f"\n报告已保存: {report_path}")
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if __name__ == "__main__":
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run_all()
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Block a user