554d37fd4c
- 新增 Stance 数据结构 (optimism/fear) - 情绪影响 stance (happy→乐观, anxious→恐惧) - 实现 apply_social_influence 社交影响函数 - 确定性随机选择接触对象 - 单次变化限制 ±0.1 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
import json
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from pathlib import Path
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from .models import WorldState, AgentState, GlobalMeter, Stance
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STATE_FILE = Path(__file__).parent.parent / "state.json"
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def get_default_state() -> WorldState:
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"""创建默认的世界状态"""
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return WorldState(
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tick=0,
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weather="sunny",
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town_mood=0,
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agents={
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"alice": AgentState(
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emotion="calm",
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goal="探索小镇",
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memory=[],
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stance=Stance(optimism=0.6, fear=0.4),
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),
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"bob": AgentState(
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emotion="calm",
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goal="与人交流",
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memory=[],
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stance=Stance(optimism=0.4, fear=0.6),
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),
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},
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events=[],
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global_meter=GlobalMeter(value=0, threshold=100, cooldown=0),
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)
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def load_state() -> WorldState:
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"""从文件加载状态，如果不存在则创建默认状态"""
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if STATE_FILE.exists():
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with open(STATE_FILE, "r", encoding="utf-8") as f:
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data = json.load(f)
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return WorldState(**data)
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return get_default_state()
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def save_state(state: WorldState) -> None:
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"""保存状态到文件"""
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with open(STATE_FILE, "w", encoding="utf-8") as f:
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json.dump(state.model_dump(), f, ensure_ascii=False, indent=2)
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