#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ 伴侣结构化评估脚本 根据六个维度打分，计算综合得分，判定类型和风险等级 """ import argparse import json import sys def assess_partner(emotional_stability, growth_support, value_independence, self_value_anchor, crisis_response, long_term_match): """ 评估伴侣格局 参数: emotional_stability: 情绪稳定性 (1-10) growth_support: 成长支持度 (1-10) value_independence: 价值独立性 (1-10) self_value_anchor: 自我价值锚点 (1-10) crisis_response: 危机应对能力 (1-10) long_term_match: 长期匹配度 (1-10) 返回: dict: 评估结果 """ # 权重配置 weights = { 'emotional_stability': 0.25, 'growth_support': 0.20, 'value_independence': 0.15, 'self_value_anchor': 0.15, 'crisis_response': 0.10, 'long_term_match': 0.15 } # 计算综合得分 overall_score = ( emotional_stability * weights['emotional_stability'] + growth_support * weights['growth_support'] + value_independence * weights['value_independence'] + self_value_anchor * weights['self_value_anchor'] + crisis_response * weights['crisis_response'] + long_term_match * weights['long_term_match'] ) # 判定类型 personality_type = "混合型" if (emotional_stability <= 3 and growth_support <= 3 and value_independence <= 3): personality_type = "丫鬟型" elif (self_value_anchor <= 3 and value_independence <= 5 and emotional_stability >= 5): personality_type = "妃子型" elif (emotional_stability >= 7 and growth_support >= 7 and value_independence >= 7 and self_value_anchor >= 7): personality_type = "皇后型" # 判定风险等级 if overall_score <= 4: risk_level = "高风险" risk_detail = "严重拖垮关系，建议立即止损或深度干预" elif overall_score <= 6: risk_level = "中风险" risk_detail = "有消耗，但存在调整空间，建议观察+沟通+边界设定" elif overall_score <= 8: risk_level = "低风险" risk_detail = "基本健康，有成长潜力，建议持续优化" else: risk_level = "优质" risk_detail = "皇后型伴侣，建议珍惜并深度合作" # 维度分析 dimensions = { 'emotional_stability': { 'score': emotional_stability, 'weight': weights['emotional_stability'], 'weighted_score': emotional_stability * weights['emotional_stability'], 'name': '情绪稳定性' }, 'growth_support': { 'score': growth_support, 'weight': weights['growth_support'], 'weighted_score': growth_support * weights['growth_support'], 'name': '成长支持度' }, 'value_independence': { 'score': value_independence, 'weight': weights['value_independence'], 'weighted_score': value_independence * weights['value_independence'], 'name': '价值独立性' }, 'self_value_anchor': { 'score': self_value_anchor, 'weight': weights['self_value_anchor'], 'weighted_score': self_value_anchor * weights['self_value_anchor'], 'name': '自我价值锚点' }, 'crisis_response': { 'score': crisis_response, 'weight': weights['crisis_response'], 'weighted_score': crisis_response * weights['crisis_response'], 'name': '危机应对能力' }, 'long_term_match': { 'score': long_term_match, 'weight': weights['long_term_match'], 'weighted_score': long_term_match * weights['long_term_match'], 'name': '长期匹配度' } } # 识别短板维度（得分最低的2个） sorted_dimensions = sorted( [(key, val['score'], val['name']) for key, val in dimensions.items()], key=lambda x: x[1] ) weak_dimensions_raw = sorted_dimensions[:2] weak_dimensions_formatted = [ {'name': name, 'score': score} for key, score, name in weak_dimensions_raw ] result = { 'status': 'success', 'overall_score': round(overall_score, 2), 'personality_type': personality_type, 'risk_level': risk_level, 'risk_detail': risk_detail, 'dimensions': dimensions, 'weak_dimensions': weak_dimensions_formatted, 'suggestions': generate_suggestions(personality_type, overall_score, weak_dimensions_formatted) } return result def generate_suggestions(personality_type, overall_score, weak_dimensions): """生成改进建议""" suggestions = [] if personality_type == "丫鬟型": suggestions.append("评估是阶段性的不安全感，还是深层的格局限制") suggestions.append("关键因素：在一起时间长度、伴侣成长意愿、你的野心程度") suggestions.append("处理空间：有些还有调整空间，有些已到必须止损节点") elif personality_type == "妃子型": suggestions.append("评估已投入的感情和资源") suggestions.append("关键因素：替代风险、真实连接程度、长期价值") suggestions.append("止损判断：是否继续投入会被更多消耗") elif personality_type == "皇后型": suggestions.append("验证真实性：关系稳定期是否保持皇后型特征") suggestions.append("时间测试：半年以上观察期") suggestions.append("关键因素：不可替代性、战略价值、共同成长度") else: # 混合型 suggestions.append("使用混合特征识别器进行深度分析") suggestions.append("识别主特征和副特征") suggestions.append("分析切换触发条件") # 针对短板维度的建议 if weak_dimensions: weak_names = [d['name'] for d in weak_dimensions] suggestions.append(f"短板维度：{', '.join(weak_names)}，建议重点改进") if overall_score <= 4: suggestions.append("高风险关系，建议使用决策支持矩阵评估止损时机") elif overall_score <= 6: suggestions.append("中风险关系，建议使用动态跟踪框架观察改进") elif overall_score <= 8: suggestions.append("低风险关系，建议持续优化") return suggestions def main(): parser = argparse.ArgumentParser( description='伴侣结构化评估工具', formatter_class=argparse.RawDescriptionHelpFormatter, epilog=""" 示例: python scripts/assess_partner.py --emotional 7 --growth 8 --independence 7 --anchor 8 --crisis 7 --match 8 python scripts/assess_partner.py -e 3 -g 2 -v 2 -s 3 -c 3 -l 2 """ ) parser.add_argument('--emotional', '-e', type=float, required=True, help='情绪稳定性 (1-10)') parser.add_argument('--growth', '-g', type=float, required=True, help='成长支持度 (1-10)') parser.add_argument('--independence', '-v', type=float, required=True, help='价值独立性 (1-10)') parser.add_argument('--anchor', '-s', type=float, required=True, help='自我价值锚点 (1-10)') parser.add_argument('--crisis', '-c', type=float, required=True, help='危机应对能力 (1-10)') parser.add_argument('--match', '-l', type=float, required=True, help='长期匹配度 (1-10)') args = parser.parse_args() # 参数验证 for name, value in [ ('emotional', args.emotional), ('growth', args.growth), ('independence', args.independence), ('anchor', args.anchor), ('crisis', args.crisis), ('match', args.match) ]: if not (1 <= value <= 10): print(json.dumps({ 'status': 'error', 'message': f'参数 {name} 必须在 1-10 之间' }, ensure_ascii=False)) sys.exit(1) # 执行评估 result = assess_partner( args.emotional, args.growth, args.independence, args.anchor, args.crisis, args.match ) # 输出结果 print(json.dumps(result, ensure_ascii=False, indent=2)) if __name__ == "__main__": main()