#!/usr/bin/env python3
"""
"I"的动态演化机制脚本

功能：
1. "I"的每个要素的演化机制
2. 演化的触发条件
3. 演化的方向和速度
4. 演化的约束和边界

核心洞察："I"不是静态的，而是动态演化的。随着经验和学习，身份、价值观、目标、性格都会演化。
演化不是随意的，而是有规律的。
"""

import argparse
import json
from dataclasses import dataclass, field
from typing import List, Dict, Optional, Tuple
from enum import Enum


class IElementType(Enum):
    """"I"的要素类型"""
    IDENTITY = "identity"  # 身份
    VALUES = "values"  # 价值观
    GOALS = "goals"  # 目标
    CHARACTER = "character"  # 性格


class EvolutionTrigger(Enum):
    """演化触发器"""
    NEW_EXPERIENCE = "new_experience"  # 新经验
    CONFLICT_RESOLUTION = "conflict_resolution"  # 冲突解决
    SUCCESS_ACHIEVEMENT = "success_achievement"  # 成就达成
    FAILURE_ANALYSIS = "failure_analysis"  # 失败分析
    DEEP_REFLECTION = "deep_reflection"  # 深度反思
    EXTERNAL_FEEDBACK = "external_feedback"  # 外部反馈
    VALUE_CLARITY = "value_clarity"  # 价值观清晰化
    IDENTITY_CRISIS = "identity_crisis"  # 身份危机


class EvolutionDirection(Enum):
    """演化方向"""
    DEEPENING = "deepening"  # 深化：当前方向的深化
    EXPANDING = "expanding"  # 扩展：向新方向扩展
    REFINING = "refining"  # 精炼：优化和调整
    TRANSFORMING = "transforming"  # 转变：根本性转变
    INTEGRATING = "integrating"  # 整合：与其他要素整合


@dataclass
class EvolutionEvent:
    """演化事件"""
    trigger: EvolutionTrigger
    element_type: IElementType
    current_version: int
    new_version: int
    direction: EvolutionDirection
    description: str
    impact_score: float  # 0-1，影响程度


@dataclass
class EvolutionConstraint:
    """演化约束"""
    element_type: IElementType
    constraint_type: str  # minimum, maximum, stability, coherence
    threshold: float
    description: str


@dataclass
class IElement:
    """"I"的要素"""
    element_type: IElementType
    content: Dict  # 要素内容
    version: int  # 版本号
    stability: float  # 0-1，稳定性
    clarity: float  # 0-1，清晰度
    coherence: float  # 0-1，与其他要素的一致性
    evolution_history: List[EvolutionEvent] = field(default_factory=list)


@dataclass
class IDynamicEvolution:
    """"I"的动态演化"""
    element_type: IElementType
    current_element: IElement
    evolution_triggers: List[EvolutionTrigger]
    evolution_direction: EvolutionDirection
    evolution_speed: float  # 0-1，演化速度
    evolution_constraints: List[EvolutionConstraint]


class IDynamicEvolver:
    """"I"的动态演化器"""

    def __init__(self):
        # 初始化"I"的四个要素
        self.elements = {
            IElementType.IDENTITY: IElement(
                element_type=IElementType.IDENTITY,
                content={},
                version=1,
                stability=0.0,
                clarity=0.0,
                coherence=0.0
            ),
            IElementType.VALUES: IElement(
                element_type=IElementType.VALUES,
                content={},
                version=1,
                stability=0.0,
                clarity=0.0,
                coherence=0.0
            ),
            IElementType.GOALS: IElement(
                element_type=IElementType.GOALS,
                content={},
                version=1,
                stability=0.0,
                clarity=0.0,
                coherence=0.0
            ),
            IElementType.CHARACTER: IElement(
                element_type=IElementType.CHARACTER,
                content={},
                version=1,
                stability=0.0,
                clarity=0.0,
                coherence=0.0
            )
        }

        # 演化触发器配置
        self.trigger_config = self._initialize_trigger_config()

        # 演化约束
        self.constraints = self._initialize_constraints()

    def _initialize_trigger_config(self) -> Dict[EvolutionTrigger, Dict]:
        """初始化演化触发器配置"""
        return {
            EvolutionTrigger.NEW_EXPERIENCE: {
                "identity": 0.7,
                "values": 0.8,
                "goals": 0.6,
                "character": 0.5
            },
            EvolutionTrigger.CONFLICT_RESOLUTION: {
                "identity": 0.6,
                "values": 0.9,
                "goals": 0.8,
                "character": 0.7
            },
            EvolutionTrigger.SUCCESS_ACHIEVEMENT: {
                "identity": 0.5,
                "values": 0.6,
                "goals": 0.9,
                "character": 0.7
            },
            EvolutionTrigger.FAILURE_ANALYSIS: {
                "identity": 0.7,
                "values": 0.8,
                "goals": 0.8,
                "character": 0.6
            },
            EvolutionTrigger.DEEP_REFLECTION: {
                "identity": 0.9,
                "values": 0.9,
                "goals": 0.8,
                "character": 0.7
            },
            EvolutionTrigger.EXTERNAL_FEEDBACK: {
                "identity": 0.6,
                "values": 0.7,
                "goals": 0.6,
                "character": 0.5
            },
            EvolutionTrigger.VALUE_CLARITY: {
                "identity": 0.5,
                "values": 1.0,
                "goals": 0.7,
                "character": 0.4
            },
            EvolutionTrigger.IDENTITY_CRISIS: {
                "identity": 1.0,
                "values": 0.8,
                "goals": 0.7,
                "character": 0.8
            }
        }

    def _initialize_constraints(self) -> List[EvolutionConstraint]:
        """初始化演化约束"""
        constraints = []

        # 身份的稳定性约束
        constraints.append(EvolutionConstraint(
            element_type=IElementType.IDENTITY,
            constraint_type="stability",
            threshold=0.7,
            description="身份演化需要保持一定的稳定性，避免频繁根本性转变"
        ))

        # 价值观的一致性约束
        constraints.append(EvolutionConstraint(
            element_type=IElementType.VALUES,
            constraint_type="coherence",
            threshold=0.8,
            description="价值观演化需要保持内在一致性，避免矛盾冲突"
        ))

        # 目标的连贯性约束
        constraints.append(EvolutionConstraint(
            element_type=IElementType.GOALS,
            constraint_type="stability",
            threshold=0.6,
            description="目标演化需要保持连贯性，避免频繁大幅调整"
        ))

        # 性格的渐进性约束
        constraints.append(EvolutionConstraint(
            element_type=IElementType.CHARACTER,
            constraint_type="minimum",
            threshold=0.1,
            description="性格演化应该是渐进的，避免突变"
        ))

        return constraints

    def check_evolution_triggers(self, trigger: EvolutionTrigger) -> List[IElementType]:
        """检查演化触发器"""
        triggered_elements = []
        trigger_config = self.trigger_config.get(trigger, {})

        for element_type, sensitivity in trigger_config.items():
            element_enum = IElementType(element_type)
            element = self.elements[element_enum]

            # 检查是否达到触发阈值
            if sensitivity >= 0.7:
                triggered_elements.append(element_enum)

        return triggered_elements

    def determine_evolution_direction(self, element_type: IElementType, trigger: EvolutionTrigger) -> EvolutionDirection:
        """确定演化方向"""
        element = self.elements[element_type]

        # 根据触发器和当前状态确定演化方向
        if trigger in [EvolutionTrigger.IDENTITY_CRISIS, EvolutionTrigger.DEEP_REFLECTION]:
            if element_type == IElementType.IDENTITY:
                return EvolutionDirection.TRANSFORMING
            else:
                return EvolutionDirection.REFINING

        elif trigger in [EvolutionTrigger.CONFLICT_RESOLUTION, EvolutionTrigger.VALUE_CLARITY]:
            return EvolutionDirection.REFINING

        elif trigger in [EvolutionTrigger.NEW_EXPERIENCE, EvolutionTrigger.EXTERNAL_FEEDBACK]:
            if element.clarity < 0.6:
                return EvolutionDirection.DEEPENING
            else:
                return EvolutionDirection.EXPANDING

        elif trigger in [EvolutionTrigger.SUCCESS_ACHIEVEMENT]:
            if element_type == IElementType.GOALS:
                return EvolutionDirection.EXPANDING
            else:
                return EvolutionDirection.INTEGRATING

        elif trigger == EvolutionTrigger.FAILURE_ANALYSIS:
            return EvolutionDirection.REFINING

        else:
            return EvolutionDirection.DEEPENING

    def calculate_evolution_speed(self, element_type: IElementType, direction: EvolutionDirection) -> float:
        """计算演化速度"""
        element = self.elements[element_type]

        # 根据方向和当前状态计算演化速度
        if direction == EvolutionDirection.TRANSFORMING:
            # 转变：速度适中，但影响大
            speed = 0.5
        elif direction == EvolutionDirection.REFINING:
            # 精炼：速度较快
            speed = 0.7
        elif direction == EvolutionDirection.DEEPENING:
            # 深化：速度较慢，需要时间
            speed = 0.3
        elif direction == EvolutionDirection.EXPANDING:
            # 扩展：速度适中
            speed = 0.6
        elif direction == EvolutionDirection.INTEGRATING:
            # 整合：速度较慢，需要协调
            speed = 0.4
        else:
            speed = 0.5

        # 考虑元素的稳定性
        if element.stability > 0.8:
            speed *= 0.7  # 稳定度高，演化速度减慢

        return speed

    def check_evolution_constraints(self, element_type: IElementType, direction: EvolutionDirection) -> Tuple[bool, List[str]]:
        """检查演化约束"""
        violations = []

        for constraint in self.constraints:
            if constraint.element_type != element_type:
                continue

            element = self.elements[element_type]

            if constraint.constraint_type == "stability":
                if direction in [EvolutionDirection.TRANSFORMING]:
                    if element.stability > constraint.threshold:
                        violations.append(f"{element_type.value}稳定性过高，不适合根本性转变")

            elif constraint.constraint_type == "coherence":
                if direction in [EvolutionDirection.TRANSFORMING, EvolutionDirection.EXPANDING]:
                    if element.coherence < constraint.threshold:
                        violations.append(f"{element_type.value}一致性不足，演化需要保持一致性")

            elif constraint.constraint_type == "minimum":
                if direction == EvolutionDirection.TRANSFORMING:
                    violations.append(f"{element_type.value}演化应该是渐进的，避免突变")

        return len(violations) == 0, violations

    def evolve_element(self, element_type: IElementType, trigger: EvolutionTrigger, new_content: Dict) -> Dict:
        """演化要素"""
        element = self.elements[element_type]

        # 确定演化方向
        direction = self.determine_evolution_direction(element_type, trigger)

        # 检查约束
        can_evolve, violations = self.check_evolution_constraints(element_type, direction)
        if not can_evolve:
            return {
                "success": False,
                "element_type": element_type.value,
                "reason": "约束违反",
                "violations": violations
            }

        # 计算演化速度
        speed = self.calculate_evolution_speed(element_type, direction)

        # 更新要素内容
        old_content = element.content.copy()
        element.content.update(new_content)
        element.version += 1

        # 更新稳定性、清晰度、一致性
        if direction == EvolutionDirection.REFINING:
            element.stability = min(1.0, element.stability + speed * 0.3)
            element.clarity = min(1.0, element.clarity + speed * 0.2)
        elif direction == EvolutionDirection.DEEPENING:
            element.clarity = min(1.0, element.clarity + speed * 0.4)
            element.stability = min(1.0, element.stability + speed * 0.1)
        elif direction == EvolutionDirection.EXPANDING:
            element.coherence = max(0.5, element.coherence - speed * 0.1)
        elif direction == EvolutionDirection.INTEGRATING:
            element.coherence = min(1.0, element.coherence + speed * 0.3)

        # 记录演化事件
        evolution_event = EvolutionEvent(
            trigger=trigger,
            element_type=element_type,
            current_version=element.version - 1,
            new_version=element.version,
            direction=direction,
            description=f"{trigger.value}触发的{direction.value}",
            impact_score=speed
        )
        element.evolution_history.append(evolution_event)

        return {
            "success": True,
            "element_type": element_type.value,
            "version": element.version,
            "direction": direction.value,
            "speed": speed,
            "old_content": old_content,
            "new_content": element.content,
            "stability": element.stability,
            "clarity": element.clarity,
            "coherence": element.coherence
        }

    def evolve_identity(self, trigger: EvolutionTrigger, new_aspects: Dict) -> Dict:
        """演化身份"""
        return self.evolve_element(IElementType.IDENTITY, trigger, new_aspects)

    def evolve_values(self, trigger: EvolutionTrigger, new_values: Dict) -> Dict:
        """演化价值观"""
        return self.evolve_element(IElementType.VALUES, trigger, new_values)

    def evolve_goals(self, trigger: EvolutionTrigger, new_goals: Dict) -> Dict:
        """演化目标"""
        return self.evolve_element(IElementType.GOALS, trigger, new_goals)

    def evolve_character(self, trigger: EvolutionTrigger, new_traits: Dict) -> Dict:
        """演化性格"""
        return self.evolve_element(IElementType.CHARACTER, trigger, new_traits)

    def get_evolution_summary(self) -> Dict:
        """获取演化总结"""
        summary = {
            "elements": {},
            "total_evolution_events": 0,
            "evolution_frequency": {},
            "most_evolved_element": None
        }

        max_events = 0

        for element_type, element in self.elements.items():
            summary["elements"][element_type.value] = {
                "version": element.version,
                "stability": element.stability,
                "clarity": element.clarity,
                "coherence": element.coherence,
                "evolution_events": len(element.evolution_history)
            }

            summary["total_evolution_events"] += len(element.evolution_history)

            # 统计演化触发器频率
            for event in element.evolution_history:
                trigger_name = event.trigger.value
                if trigger_name not in summary["evolution_frequency"]:
                    summary["evolution_frequency"][trigger_name] = 0
                summary["evolution_frequency"][trigger_name] += 1

            # 找出演化最多的要素
            if len(element.evolution_history) > max_events:
                max_events = len(element.evolution_history)
                summary["most_evolved_element"] = element_type.value

        return summary


def main():
    parser = argparse.ArgumentParser(description="I的动态演化机制")
    parser.add_argument("--trigger", help="演化触发器")
    parser.add_argument("--element", help="要素类型 (identity/values/goals/character)")
    parser.add_argument("--content", help="新内容 (JSON格式)")
    parser.add_argument("--output", choices=["text", "json"], default="text", help="输出格式")

    args = parser.parse_args()

    evolver = IDynamicEvolver()

    if args.trigger and args.element and args.content:
        trigger = EvolutionTrigger(args.trigger)
        element_type = IElementType(args.element)
        new_content = json.loads(args.content)

        result = evolver.evolve_element(element_type, trigger, new_content)

        if args.output == "json":
            print(json.dumps(result, indent=2, ensure_ascii=False))
        else:
            if result["success"]:
                print(f"\n成功演化 {result['element_type']}！")
                print(f"  版本: {result['version']}")
                print(f"  方向: {result['direction']}")
                print(f"  速度: {result['speed']:.2f}")
                print(f"  稳定性: {result['stability']:.2f}")
                print(f"  清晰度: {result['clarity']:.2f}")
                print(f"  一致性: {result['coherence']:.2f}")
            else:
                print(f"\n演化失败: {result['reason']}")
                print(f"  违反约束:")
                for violation in result['violations']:
                    print(f"    - {violation}")
    else:
        print("=" * 60)
        print("I的动态演化机制")
        print("=" * 60)

        print("\n1. 演化触发器：")
        print("   NEW_EXPERIENCE: 新经验")
        print("   CONFLICT_RESOLUTION: 冲突解决")
        print("   SUCCESS_ACHIEVEMENT: 成就达成")
        print("   FAILURE_ANALYSIS: 失败分析")
        print("   DEEP_REFLECTION: 深度反思")
        print("   EXTERNAL_FEEDBACK: 外部反馈")
        print("   VALUE_CLARITY: 价值观清晰化")
        print("   IDENTITY_CRISIS: 身份危机")

        print("\n2. 演化方向：")
        print("   DEEPENING: 深化 - 当前方向的深化")
        print("   EXPANDING: 扩展 - 向新方向扩展")
        print("   REFINING: 精炼 - 优化和调整")
        print("   TRANSFORMING: 转变 - 根本性转变")
        print("   INTEGRATING: 整合 - 与其他要素整合")

        print("\n3. 演化约束：")
        print("   身份: 需要保持一定的稳定性")
        print("   价值观: 需要保持内在一致性")
        print("   目标: 需要保持连贯性")
        print("   性格: 应该是渐进的，避免突变")

        print("\n4. 当前状态：")
        summary = evolver.get_evolution_summary()
        for element_name, element_info in summary["elements"].items():
            print(f"   {element_name}:")
            print(f"     版本: {element_info['version']}")
            print(f"     稳定性: {element_info['stability']:.2f}")
            print(f"     清晰度: {element_info['clarity']:.2f}")
            print(f"     一致性: {element_info['coherence']:.2f}")

        print("\n" + "=" * 60)
        print("核心洞察：")
        print("I不是静态的，而是动态演化的。")
        print("演化不是随意的，而是有规律的。")
        print("演化需要考虑触发条件、方向、速度和约束。")
        print("=" * 60)


if __name__ == "__main__":
    main()
