#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ 心理特征推断模块 - 人物画像技能 基于公开决策、危机应对、演讲风格，推断心理特征 创建时间：2026-04-03 开发者：瞰宇 (Kàn Yǔ) """ import json from typing import Dict, List, Tuple, Optional from dataclasses import dataclass from collections import Counter @dataclass class BigFiveTraits: """大五人格特质""" openness: float # 开放性（0-5） conscientiousness: float # 尽责性（0-5） extraversion: float # 外向性（0-5） agreeableness: float # 宜人性（0-5） neuroticism: float # 神经质（0-5） @dataclass class Machiavellianism: """马基雅维利主义倾向""" power_orientation: float # 权力导向（0-5） manipulative_tendency: float # 操纵倾向（0-5） transactional_orientation: float # 交易倾向（0-5） @dataclass class RiskPreference: """风险偏好""" overall_risk_acceptance: str # 总体风险接受度（低/中/高） political_risk: str # 政治风险偏好 reputation_risk: str # 声誉风险偏好 decision_mode: str # 决策模式（冲动型/计算型/回避型） @dataclass class LeadershipStyle: """领导风格""" primary_style: str # 主导风格 secondary_style: str # 次要风格 characteristics: List[str] # 特征 class PsychologyAnalyzer: """ 心理特征推断器 基于公开决策、危机应对、演讲风格，推断心理特征 """ # 语言特征关键词（示例） LANGUAGE_INDICATORS = { "openness": ["创新", "新思想", "探索", "可能", "也许", "创新", "创新性"], "low_openness": ["传统", "应该", "必须", "规则", "秩序", "保守"], "conscientiousness": ["计划", "目标", "完成", "坚持", "责任", "义务"], "extraversion": ["我们", "一起", "合作", "团队", "大家", "领导"], "introversion": ["我", "我的", "独自", "个人", "独立"], "agreeableness": ["合作", "理解", "帮助", "支持", "和谐", "友善"], "low_agreeableness": ["对抗", "赢", "胜利", "击败", "竞争", "对手"], "neuroticism": ["担心", "害怕", "恐惧", "不安", "焦虑", "威胁"] } def __init__(self): """初始化心理特征推断器""" self.statements = [] self.behaviors = [] self.decisions = [] def load_statements(self, statements: List[Dict]): """ 加载言论数据 Args: statements: 言论列表 """ self.statements = statements def load_behaviors(self, behaviors: List[Dict]): """ 加载行为记录 Args: behaviors: 行为记录列表 """ self.behaviors = behaviors def load_decisions(self, decisions: List[Dict]): """ 加决策案例 Args: decisions: 决策案例列表 """ self.decisions = decisions def analyze_big_five_traits(self) -> BigFiveTraits: """ 分析大五人格特质 Returns: BigFiveTraits对象 """ # 合并所有言论文本 all_text = " ".join([s.get("content", "") for s in self.statements]) text_lower = all_text.lower() # 计算各维度得分（0-5分制） openness = self._calculate_trait_score( text_lower, self.LANGUAGE_INDICATORS["openness"], self.LANGUAGE_INDICATORS["low_openness"] ) conscientiousness = self._calculate_trait_score( text_lower, self.LANGUAGE_INDICATORS["conscientiousness"], [] ) extraversion_score = sum( 1 for word in self.LANGUAGE_INDICATORS["extraversion"] if word in text_lower ) introversion_score = sum( 1 for word in self.LANGUAGE_INDICATORS["introversion"] if word in text_lower ) extraversion = 3.0 + (extraversion_score - introversion_score) * 0.3 extraversion = max(0.0, min(5.0, extraversion)) agreeableness = self._calculate_trait_score( text_lower, self.LANGUAGE_INDICATORS["agreeableness"], self.LANGUAGE_INDICATORS["low_agreeableness"] ) neuroticism = sum( 1 for word in self.LANGUAGE_INDICATORS["neuroticism"] if word in text_lower ) * 0.5 + 2.0 neuroticism = min(5.0, neuroticism) return BigFiveTraits( openness=openness, conscientiousness=conscientiousness, extraversion=extraversion, agreeableness=agreeableness, neuroticism=neuroticism ) def _calculate_trait_score( self, text: str, positive_indicators: List[str], negative_indicators: List[str] ) -> float: """ 计算特质得分 Args: text: 文本 positive_indicators: 正向指标 negative_indicators: 负向指标 Returns: 得分（0-5） """ pos_count = sum(1 for word in positive_indicators if word in text) neg_count = sum(1 for word in negative_indicators if word in text) # 基础分2.5，正向加分，负向减分 score = 2.5 + (pos_count - neg_count) * 0.3 return max(0.0, min(5.0, score)) def analyze_machiavellianism(self) -> Machiavellianism: """ 分析马基雅维利主义倾向 Returns: Machiavellianism对象 """ all_text = " ".join([s.get("content", "") for s in self.statements]) text_lower = all_text.lower() # 权力相关词汇 power_words = ["权力", "控制", "领导", "统治", "权威", "权力", "力量"] manipulative_words = ["战略", "策略", "操纵", "利用", "博弈", "计算"] transactional_words = ["交易", "利益", "交换", "条件", "谈判", "妥协"] power_score = sum(1 for word in power_words if word in text_lower) * 0.4 + 3.0 manipulative_score = sum(1 for word in manipulative_words if word in text_lower) * 0.4 + 2.5 transactional_score = sum(1 for word in transactional_words if word in text_lower) * 0.4 + 2.5 return Machiavellianism( power_orientation=min(5.0, power_score), manipulative_tendency=min(5.0, manipulative_score), transactional_orientation=min(5.0, transactional_score) ) def analyze_risk_preference(self) -> RiskPreference: """ 分析风险偏好 Returns: RiskPreference对象 """ # 分析决策案例中的风险模式 risk_taking_count = 0 risk_avoiding_count = 0 for decision in self.decisions: description = decision.get("description", "").lower() if any(word in description for word in ["冒险", "突破", "激进", "大胆"]): risk_taking_count += 1 elif any(word in description for word in ["谨慎", "保守", "稳妥", "渐进"]): risk_avoiding_count += 1 # 判断总体风险偏好 if risk_taking_count > risk_avoiding_count: overall = "高" elif risk_avoiding_count > risk_taking_count: overall = "低" else: overall = "中" # 决策模式（简化版） decision_mode = "计算型" # 默认 return RiskPreference( overall_risk_acceptance=overall, political_risk="高", # 示例值 reputation_risk="中", # 示例值 decision_mode=decision_mode ) def analyze_leadership_style(self) -> LeadershipStyle: """ 分析领导风格 Returns: LeadershipStyle对象 """ all_text = " ".join([s.get("content", "") for s in self.statements]) text_lower = all_text.lower() # 判断主导风格 authoritarian_words = ["必须", "坚决", "命令", "服从", "强制"] democratic_words = ["讨论", "协商", "倾听", "民主", "共识"] charismatic_words = ["激励", "鼓舞", "愿景", "梦想", "希望"] transactional_words = ["交易", "交换", "利益", "奖励", "惩罚"] authoritarian_score = sum(1 for word in authoritarian_words if word in text_lower) democratic_score = sum(1 for word in democratic_words if word in text_lower) charismatic_score = sum(1 for word in charismatic_words if word in text_lower) transactional_score = sum(1 for word in transactional_words if word in text_lower) # 确定主导和次要风格 scores = { "专制型": authoritarian_score, "民主型": democratic_score, "魅力型": charismatic_score, "交易型": transactional_score } sorted_styles = sorted(scores.items(), key=lambda x: x[1], reverse=True) primary_style = sorted_styles[0][0] secondary_style = sorted_styles[1][0] # 提取特征 characteristics = [] if authoritarian_score > democratic_score: characteristics.append("高度集权") characteristics.append("快速决策") else: characteristics.append("协商决策") characteristics.append("团队参与") if charismatic_score > 0: characteristics.append("强情感动员") characteristics.append("个人魅力依赖") return LeadershipStyle( primary_style=primary_style, secondary_style=secondary_style, characteristics=characteristics ) def generate_psychology_report(self) -> Dict: """ 生成心理特征推断报告 Returns: 分析报告字典 """ # 分析各维度 big_five = self.analyze_big_five_traits() machiavellianism = self.analyze_machiavellianism() risk_preference = self.analyze_risk_preference() leadership_style = self.analyze_leadership_style() report = { "大五人格特质": { "开放性": f"{big_five.openness:.1f}/5.0", "尽责性": f"{big_five.conscientiousness:.1f}/5.0", "外向性": f"{big_five.extraversion:.1f}/5.0", "宜人性": f"{big_five.agreeableness:.1f}/5.0", "神经质": f"{big_five.neuroticism:.1f}/5.0" }, "马基雅维利主义": { "权力导向": f"{machiavellianism.power_orientation:.1f}/5.0", "操纵倾向": f"{machiavellianism.manipulative_tendency:.1f}/5.0", "交易倾向": f"{machiavellianism.transactional_orientation:.1f}/5.0" }, "风险偏好": { "总体风险接受度": risk_preference.overall_risk_acceptance, "政治风险": risk_preference.political_risk, "声誉风险": risk_preference.reputation_risk, "决策模式": risk_preference.decision_mode }, "领导风格": { "主导风格": leadership_style.primary_style, "次要风格": leadership_style.secondary_style, "特征": leadership_style.characteristics }, "警告": "心理推断基于公开信息，存在不确定性。建议作为参考而非绝对判断。" } return report def main(): """测试心理特征推断器""" analyzer = PsychologyAnalyzer() # 示例言论数据 statements = [ {"content": "我们必须坚持传统，维护秩序，这是最重要的。"}, {"content": "我带领大家实现我们的目标！"}, {"content": "我们将击败所有对手，赢得胜利！"}, {"content": "我担心外部威胁会威胁我们的安全。"} ] analyzer.load_statements(statements) # 生成报告 print("=== 心理特征推断报告 ===") report = analyzer.generate_psychology_report() print(json.dumps(report, ensure_ascii=False, indent=2)) if __name__ == "__main__": main()