#!/usr/bin/env python3 """ 矛盾深度挖掘：识别和解析人格矛盾 """ import json import numpy as np from pathlib import Path from typing import Dict, List class ParadoxMiner: """矛盾挖掘器""" # 矛盾类型 PARADOX_TYPES = [ 'tension_paradox', # 张力矛盾 'shadow_paradox', # 阴影矛盾 'integration_paradox', # 整合矛盾 'transcendence_paradox' # 超越矛盾 ] # 常见矛盾模式 COMMON_PARADOXES = { 'autonomy_vs_connection': '自主性与连接性的矛盾', 'stability_vs_growth': '稳定性与成长的矛盾', 'authenticity_vs_adaptation': '真实性与适应性的矛盾', 'idealism_vs_pragmatism': '理想主义与实用主义的矛盾', 'expression_vs_privacy': '表达与隐私的矛盾' } def __init__(self): self.paradox_database = {} def mine_paradoxes(self, personality_model: Dict, scan_result: Dict, axis_analysis: Dict) -> Dict: """挖掘人格矛盾""" paradox_result = { 'identified_paradoxes': [], 'paradox_depth': {}, 'paradox_impact': {}, 'paradox_integrations': [], 'paradox_recommendations': [] } # 从扫描结果中识别矛盾 scan_paradoxes = self._mine_scan_paradoxes(scan_result) paradox_result['identified_paradoxes'].extend(scan_paradoxes) # 从轴分析中识别矛盾 axis_paradoxes = self._mine_axis_paradoxes(axis_analysis) paradox_result['identified_paradoxes'].extend(axis_paradoxes) # 从人格模型中识别矛盾 model_paradoxes = self._mine_model_paradoxes(personality_model) paradox_result['identified_paradoxes'].extend(model_paradoxes) # 分析矛盾深度 for paradox in paradox_result['identified_paradoxes']: paradox_id = paradox['paradox_id'] paradox_result['paradox_depth'][paradox_id] = self._assess_paradox_depth(paradox) paradox_result['paradox_impact'][paradox_id] = self._assess_paradox_impact(paradox) # 生成矛盾整合方案 paradox_result['paradox_integrations'] = self._generate_integrations( paradox_result['identified_paradoxes'] ) # 生成建议 paradox_result['paradox_recommendations'] = self._generate_recommendations( paradox_result['identified_paradoxes'], paradox_result['paradox_integrations'] ) return paradox_result def _mine_scan_paradoxes(self, scan_result: Dict) -> List[Dict]: """从扫描结果中挖掘矛盾""" paradoxes = [] if 'paradox_patterns' in scan_result: for pattern in scan_result['paradox_patterns']: paradox = { 'paradox_id': f"scan_{pattern['type']}", 'type': pattern['type'], 'tension': pattern.get('tension', 0.0), 'higher_dimension': pattern.get('higher_dimension'), 'lower_dimension': pattern.get('lower_dimension'), 'description': pattern.get('description', ''), 'source': 'scan' } paradoxes.append(paradox) return paradoxes def _mine_axis_paradoxes(self, axis_analysis: Dict) -> List[Dict]: """从轴分析中挖掘矛盾""" paradoxes = [] if 'axis_interactions' in axis_analysis: for interaction_name, interaction in axis_analysis['axis_interactions'].items(): if interaction.get('type') == 'tension': paradox = { 'paradox_id': f"axis_{interaction_name}", 'type': 'axis_tension', 'tension': interaction.get('strength', 0.0), 'axis1': interaction.get('axis1'), 'axis2': interaction.get('axis2'), 'position1': interaction.get('position1'), 'position2': interaction.get('position2'), 'description': f"张力矛盾: {interaction.get('axis1')} vs {interaction.get('axis2')}", 'source': 'axis', 'effects': interaction.get('effects', []) } paradoxes.append(paradox) return paradoxes def _mine_model_paradoxes(self, personality_model: Dict) -> List[Dict]: """从人格模型中挖掘矛盾""" paradoxes = [] # 检查层级间的矛盾 if 'layer_interactions' in personality_model: for layer_name, interactions in personality_model['layer_interactions'].items(): # 简化处理：识别潜在矛盾 upward = interactions.get('upward_integration', []) downward = interactions.get('downward_integration', []) if upward and downward: paradox = { 'paradox_id': f"layer_{layer_name}", 'type': 'layer_tension', 'tension': 0.6, # 默认值 'layer': layer_name, 'upward_connections': upward, 'downward_connections': downward, 'description': f"层间张力: {layer_name}", 'source': 'model' } paradoxes.append(paradox) return paradoxes def _assess_paradox_depth(self, paradox: Dict) -> Dict: """评估矛盾深度""" depth = { 'structural_depth': 0.0, 'existential_depth': 0.0, 'emotional_depth': 0.0, 'overall_depth': 0.0 } # 结构深度：基于张力和复杂性 tension = paradox.get('tension', 0.0) depth['structural_depth'] = tension # 存在深度：基于矛盾类型 paradox_type = paradox.get('type', '') if 'shadow' in paradox_type or 'existential' in paradox_type: depth['existential_depth'] = 0.8 elif 'integration' in paradox_type: depth['existential_depth'] = 0.6 else: depth['existential_depth'] = 0.4 # 情感深度：基于来源 source = paradox.get('source', '') if source == 'scan': depth['emotional_depth'] = 0.7 elif source == 'axis': depth['emotional_depth'] = 0.5 else: depth['emotional_depth'] = 0.3 # 总体深度 depth['overall_depth'] = np.mean([ depth['structural_depth'], depth['existential_depth'], depth['emotional_depth'] ]) return depth def _assess_paradox_impact(self, paradox: Dict) -> Dict: """评估矛盾影响""" impact = { 'psychological_impact': 0.0, 'behavioral_impact': 0.0, 'developmental_impact': 0.0, 'overall_impact': 0.0 } tension = paradox.get('tension', 0.0) # 心理影响 impact['psychological_impact'] = tension * 0.8 # 行为影响 impact['behavioral_impact'] = tension * 0.7 # 发展影响 depth = self._assess_paradox_depth(paradox) impact['developmental_impact'] = depth['overall_depth'] * 0.6 # 总体影响 impact['overall_impact'] = np.mean([ impact['psychological_impact'], impact['behavioral_impact'], impact['developmental_impact'] ]) return impact def _generate_integrations(self, paradoxes: List[Dict]) -> List[Dict]: """生成矛盾整合方案""" integrations = [] for paradox in paradoxes: paradox_id = paradox['paradox_id'] integration = { 'paradox_id': paradox_id, 'integration_strategy': self._determine_integration_strategy(paradox), 'integration_approaches': self._generate_integration_approaches(paradox), 'integration_potential': self._assess_integration_potential(paradox) } integrations.append(integration) return integrations def _determine_integration_strategy(self, paradox: Dict) -> str: """确定整合策略""" tension = paradox.get('tension', 0.0) if tension > 0.8: return 'transcendence' elif tension > 0.6: return 'integration' elif tension > 0.4: return 'balancing' else: return 'acknowledgment' def _generate_integration_approaches(self, paradox: Dict) -> List[str]: """生成整合方法""" strategy = self._determine_integration_strategy(paradox) approaches_map = { 'transcendence': [ "Embrace both poles as complementary aspects", "Find higher perspective that transcends duality", "Cultivate paradoxical thinking" ], 'integration': [ "Create synergistic relationship between poles", "Identify context where each pole is valuable", "Develop dynamic balance based on situation" ], 'balancing': [ "Maintain equilibrium between poles", "Monitor for dominance patterns", "Practice conscious shifting" ], 'acknowledgment': [ "Recognize the existence of tension", "Observe patterns without judgment", "Allow natural unfolding" ] } return approaches_map.get(strategy, []) def _assess_integration_potential(self, paradox: Dict) -> Dict: """评估整合潜力""" tension = paradox.get('tension', 0.0) potential = { 'ease_of_integration': 1 - tension, 'creative_potential': tension * 0.8, 'transformation_potential': tension * 0.9, 'overall_potential': tension * 0.7 } return potential def _generate_recommendations(self, paradoxes: List[Dict], integrations: List[Dict]) -> List[str]: """生成建议""" recommendations = [] # 识别最高影响力的矛盾 sorted_paradoxes = sorted( paradoxes, key=lambda p: self._assess_paradox_impact(p)['overall_impact'], reverse=True ) if sorted_paradoxes: top_paradox = sorted_paradoxes[0] paradox_id = top_paradox['paradox_id'] # 找到对应的整合方案 integration = next( (i for i in integrations if i['paradox_id'] == paradox_id), None ) if integration: recommendations.append( f"Primary focus: {integration['integration_strategy']} of {top_paradox['type']}" ) for approach in integration['integration_approaches']: recommendations.append(f" - {approach}") # 一般建议 recommendations.extend([ "Practice self-observation of paradox patterns", "Cultivate tolerance for internal contradictions", "Seek contexts where paradoxes can be expressed" ]) return recommendations def generate_paradox_report(self, paradox_result: Dict) -> str: """生成矛盾报告""" report_lines = [ "=== 人格矛盾深度分析报告 ===\n", "识别到的矛盾：" ] for paradox in paradox_result['identified_paradoxes']: paradox_id = paradox['paradox_id'] depth = paradox_result['paradox_depth'][paradox_id] impact = paradox_result['paradox_impact'][paradox_id] report_lines.append(f"\n{paradox_id}:") report_lines.append(f" 类型: {paradox['type']}") report_lines.append(f" 描述: {paradox['description']}") report_lines.append(f" 深度: {depth['overall_depth']:.2f}") report_lines.append(f" 影响: {impact['overall_impact']:.2f}") report_lines.append("\n整合方案：") for integration in paradox_result['paradox_integrations']: paradox_id = integration['paradox_id'] report_lines.append(f"\n{paradox_id}:") report_lines.append(f" 策略: {integration['integration_strategy']}") report_lines.append(f" 潜力: {integration['integration_potential']['overall_potential']:.2f}") report_lines.append(f" 方法:") for approach in integration['integration_approaches']: report_lines.append(f" - {approach}") report_lines.append("\n建议：") for rec in paradox_result['paradox_recommendations']: report_lines.append(f"- {rec}") return "\n".join(report_lines) def create_paradox_journal(self, paradox_result: Dict, output_path: Path): """创建矛盾日志""" journal_data = { 'paradoxes': paradox_result['identified_paradoxes'], 'depth_analysis': paradox_result['paradox_depth'], 'impact_analysis': paradox_result['paradox_impact'], 'integrations': paradox_result['paradox_integrations'], 'recommendations': paradox_result['paradox_recommendations'], 'created_at': str(np.datetime64('now')) } with open(output_path, 'w', encoding='utf-8') as f: json.dump(journal_data, f, ensure_ascii=False, indent=2) def main(): import argparse parser = argparse.ArgumentParser(description='矛盾深度挖掘') parser.add_argument('--model', type=str, required=True, help='人格模型文件路径 (JSON)') parser.add_argument('--scan', type=str, required=True, help='扫描结果文件路径 (JSON)') parser.add_argument('--axis', type=str, required=True, help='轴分析文件路径 (JSON)') args = parser.parse_args() # 读取输入文件 with open(args.model, 'r', encoding='utf-8') as f: personality_model = json.load(f) with open(args.scan, 'r', encoding='utf-8') as f: scan_result = json.load(f) with open(args.axis, 'r', encoding='utf-8') as f: axis_analysis = json.load(f) # 挖掘矛盾 miner = ParadoxMiner() paradox_result = miner.mine_paradoxes(personality_model, scan_result, axis_analysis) # 输出报告 report = miner.generate_paradox_report(paradox_result) print(report) # 输出JSON结果 print("\n=== JSON 结果 ===") print(json.dumps(paradox_result, ensure_ascii=False, indent=2)) if __name__ == '__main__': main()