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hello-agents/code/chapter8/01_MemoryTool_Basic_Operati...

197 lines
5.6 KiB
Python

6 months ago
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
代码示例 01: MemoryTool基础操作
展示MemoryTool的核心execute方法和基本操作
"""
from datetime import datetime
from typing import List
from hello_agents.tools import MemoryTool
def memory_tool_execute_demo():
"""MemoryTool execute方法演示"""
print("🧠 MemoryTool基础操作演示")
print("=" * 50)
# 初始化MemoryTool
memory_tool = MemoryTool(
user_id="demo_user",
memory_types=["working", "episodic", "semantic", "perceptual"]
)
print("✅ MemoryTool初始化完成")
print(f"📋 支持的操作: add, search, summary, stats, update, remove, forget, consolidate, clear_all")
return memory_tool
def add_memory_demo(memory_tool):
"""添加记忆演示 - 模拟人类记忆编码过程"""
print("\n📝 添加记忆演示")
print("-" * 30)
# 添加工作记忆
result = memory_tool.execute(
"add",
content="正在学习HelloAgents框架的记忆系统",
memory_type="working",
importance=0.7,
task_type="learning"
)
print(f"工作记忆: {result}")
# 添加情景记忆
result = memory_tool.execute(
"add",
content="2024年开始深入研究AI Agent技术",
memory_type="episodic",
importance=0.8,
event_type="milestone",
location="研发中心"
)
print(f"情景记忆: {result}")
# 添加语义记忆
result = memory_tool.execute(
"add",
content="记忆系统包括工作记忆、情景记忆、语义记忆和感知记忆四种类型",
memory_type="semantic",
importance=0.9,
concept="memory_types",
domain="cognitive_science"
)
print(f"语义记忆: {result}")
# 添加感知记忆
result = memory_tool.execute(
"add",
content="查看了记忆系统的架构图和实现代码",
memory_type="perceptual",
importance=0.6,
modality="document",
source="technical_documentation"
)
print(f"感知记忆: {result}")
def search_memory_demo(memory_tool):
"""搜索记忆演示 - 实现语义理解的检索"""
print("\n🔍 搜索记忆演示")
print("-" * 30)
# 基础搜索
print("基础搜索 - '记忆系统':")
result = memory_tool.execute("search", query="记忆系统", limit=3)
print(result)
# 按类型搜索
print("\n按类型搜索 - 语义记忆中的'记忆':")
result = memory_tool.execute(
"search",
query="记忆",
memory_type="semantic",
limit=2
)
print(result)
# 设置重要性阈值
print("\n高重要性记忆搜索:")
result = memory_tool.execute(
"search",
query="AI Agent",
min_importance=0.7,
limit=3
)
print(result)
def memory_summary_demo(memory_tool):
"""记忆摘要演示 - 提供系统全貌"""
print("\n📋 记忆摘要演示")
print("-" * 30)
# 获取记忆摘要
result = memory_tool.execute("summary", limit=5)
print("记忆摘要:")
print(result)
# 获取统计信息
print("\n📊 统计信息:")
result = memory_tool.execute("stats")
print(result)
def memory_management_demo(memory_tool):
"""记忆管理演示 - 遗忘和整合"""
print("\n⚙️ 记忆管理演示")
print("-" * 30)
# 添加一个低重要性记忆用于遗忘测试
memory_tool.execute(
"add",
content="这是一个临时的测试记忆,重要性很低",
memory_type="working",
importance=0.1
)
# 基于重要性的遗忘
print("基于重要性的遗忘 (阈值=0.2):")
result = memory_tool.execute(
"forget",
strategy="importance_based",
threshold=0.2
)
print(result)
# 记忆整合 - 将重要的工作记忆转为情景记忆
print("\n记忆整合 (working → episodic):")
result = memory_tool.execute(
"consolidate",
from_type="working",
to_type="episodic",
importance_threshold=0.6
)
print(result)
def main():
"""主函数"""
print("🚀 MemoryTool基础操作完整演示")
print("展示记忆系统的核心功能和操作方法")
print("=" * 60)
try:
# 1. 初始化MemoryTool
memory_tool = memory_tool_execute_demo()
# 2. 添加记忆演示
add_memory_demo(memory_tool)
# 3. 搜索记忆演示
search_memory_demo(memory_tool)
# 4. 记忆摘要演示
memory_summary_demo(memory_tool)
# 5. 记忆管理演示
memory_management_demo(memory_tool)
print("\n" + "=" * 60)
print("🎉 MemoryTool基础操作演示完成")
print("=" * 60)
print("\n✨ 演示的核心功能:")
print("1. 🧠 四种记忆类型的添加和管理")
print("2. 🔍 智能语义搜索和过滤")
print("3. 📋 记忆摘要和统计分析")
print("4. ⚙️ 记忆整合和选择性遗忘")
print("\n🎯 设计特点:")
print("• 统一的execute接口操作简洁一致")
print("• 丰富的元数据支持,便于分类和检索")
print("• 智能的重要性评估和时间衰减机制")
print("• 模拟人类认知的记忆管理策略")
except Exception as e:
print(f"\n❌ 演示过程中发生错误: {e}")
import traceback
traceback.print_exc()
if __name__ == "__main__":
main()