From d1f7a27b1b852d529a3672d6385e220b395b281f Mon Sep 17 00:00:00 2001 From: iomgaa Date: Mon, 25 Aug 2025 20:51:41 +0800 Subject: [PATCH] =?UTF-8?q?cleanup:=20=E7=A7=BB=E9=99=A4=E8=BF=87=E6=97=B6?= =?UTF-8?q?=E5=AE=9E=E9=AA=8C=E6=96=87=E4=BB=B6=E5=B9=B6=E6=9B=B4=E6=96=B0?= =?UTF-8?q?=E4=BE=9D=E8=B5=96=E9=94=81=E5=AE=9A=E6=96=87=E4=BB=B6?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 删除experiment_runner.py和number_extraction_models.py旧实验文件 - 更新uv.lock以反映新增的langextract和httpx[socks]依赖 --- experiment_runner.py | 153 ---------- number_extraction_models.py | 78 ----- uv.lock | 556 ++++++++++++++++++++++++++++++++++++ 3 files changed, 556 insertions(+), 231 deletions(-) delete mode 100644 experiment_runner.py delete mode 100644 number_extraction_models.py diff --git a/experiment_runner.py b/experiment_runner.py deleted file mode 100644 index df2a138..0000000 --- a/experiment_runner.py +++ /dev/null @@ -1,153 +0,0 @@ -#!/usr/bin/env python3 -""" -数字提取实验运行器 - -基于Agno框架的SubAgent系统，从文本中提取数字并进行解释 -展示SubAgent系统的核心功能：配置读取、模型创建、动态prompt构建、JSON解析 -""" - -import sys -import os -from typing import List - -# 添加src路径到Python路径 -sys.path.append(os.path.join(os.path.dirname(__file__), 'src')) - -from src.agent_system import SubAgent, create_json_agent -from number_extraction_models import NumberExtractionResult - - -def create_number_extraction_agent() -> SubAgent: - """创建数字提取专用SubAgent""" - - instructions = [ - "你是一个专业的数字提取专家", - "你的任务是从给定文本中识别和提取所有的数字", - "重点关注：整数、小数、百分比、比率、统计数据等", - "对每个数字提供准确的上下文和清晰的解释" - ] - - prompt_template = """ -请仔细分析以下文本，提取其中的所有数字： - -【输入文本】 -{input_text} - -【提取要求】 -1. 识别文本中的所有数字（整数、小数、百分比、比率等） -2. 对每个数字进行分类和解释 -3. 记录数字出现的完整上下文 -4. 识别数字的单位（如果有） -5. 提供对整个文本中数字的总体摘要 -""" - - try: - agent = SubAgent( - provider="aliyun", - model_name="qwen-max", - name="number_extractor", - description="专业的文本数字提取和解释系统", - instructions=instructions, - prompt_template=prompt_template, - response_model=NumberExtractionResult - ) - - print("✅ 数字提取Agent初始化成功") - return agent - - except Exception as e: - print(f"❌ Agent初始化失败: {e}") - raise - - -def display_results(result: NumberExtractionResult): - """展示提取结果""" - print("\n" + "="*50) - print("🔍 数字提取结果") - print("="*50) - - print(f"摘要: {result.summary}") - print(f"总数: {result.total_count}") - - if result.extractions: - for i, item in enumerate(result.extractions, 1): - print(f"\n数字{i}: {item.number}") - if item.unit: - print(f" 单位: {item.unit}") - print(f" 上下文: {item.context}") - print(f" 解释: {item.explanation}") - - print("="*50) - - -def get_user_input() -> str: - """获取用户输入""" - print("\n请输入要分析的文本:") - print("(输入'quit'退出，输入'END'结束输入)") - - lines = [] - while True: - try: - line = input(">>> ").strip() - if line.lower() == 'quit': - return 'quit' - elif line.upper() == 'END': - break - else: - lines.append(line) - break - except (KeyboardInterrupt, EOFError): - return 'quit' - - return '\n'.join(lines).strip() - - -def main(): - """主函数""" - print("🎉 数字提取工具启动!") - - try: - agent = create_number_extraction_agent() - except Exception as e: - print(f"初始化失败: {e}") - return - - print("✅ 系统就绪") - - while True: - user_input = get_user_input() - - if user_input == 'quit': - print("再见!") - break - - if not user_input: - continue - - try: - print(f"分析中... (文本长度: {len(user_input)}字符)") - result = agent.run(template_vars={'input_text': user_input}) - display_results(result) - - except Exception as e: - print(f"提取失败: {e}") - print("请尝试重新输入") - - -def test_basic(): - """基础测试""" - try: - agent = create_number_extraction_agent() - - # 测试prompt构建 - prompt = agent.build_prompt({'input_text': '测试数字95.2%'}) - print(f"✅ 测试通过，prompt长度: {len(prompt)}") - return True - - except Exception as e: - print(f"❌ 测试失败: {e}") - return False - - -if __name__ == "__main__": - main() \ No newline at end of file diff --git a/number_extraction_models.py b/number_extraction_models.py deleted file mode 100644 index a380a1b..0000000 --- a/number_extraction_models.py +++ /dev/null @@ -1,78 +0,0 @@ -""" -数字提取Pydantic模型定义 - -用于结构化解析从文本中提取的数字和相关解释信息 -""" - -from typing import List, Union -from pydantic import BaseModel, Field - - -class NumberExtraction(BaseModel): - """单个数字提取项""" - - number: Union[int, float] = Field(description="提取的数字值") - explanation: str = Field(description="对该数字的解释说明") - context: str = Field(description="数字出现的上下文片段") - unit: str = Field(default="", description="数字的单位（如果有）") - - class Config: - json_encoders = { - # 确保浮点数正确序列化 - float: lambda v: round(v, 6) if v is not None else None - } - - -class NumberExtractionResult(BaseModel): - """数字提取完整结果""" - - extractions: List[NumberExtraction] = Field(description="提取的数字项列表") - summary: str = Field(description="对整个文本中数字的总结") - total_count: int = Field(description="提取的数字总数", ge=0) - - def __post_init__(self): - """确保total_count与extractions长度一致""" - if self.total_count != len(self.extractions): - object.__setattr__(self, 'total_count', len(self.extractions)) - - -# 测试模型定义 -def test_models(): - """测试Pydantic模型定义""" - print("正在测试数字提取模型...") - - try: - # 测试单个数字提取项 - extraction = NumberExtraction( - number=95.2, - explanation="模型准确率", - context="模型在测试集上达到了95.2%的准确率", - unit="%" - ) - print(f"✅ NumberExtraction模型测试成功: {extraction}") - - # 测试完整结果 - result = NumberExtractionResult( - extractions=[extraction], - summary="发现1个准确率数值", - total_count=1 - ) - print(f"✅ NumberExtractionResult模型测试成功") - - # 测试JSON序列化 - json_str = result.model_dump_json(indent=2) - print(f"✅ JSON序列化测试成功，长度: {len(json_str)}字符") - - # 测试模型字段 - print(f"✅ NumberExtraction字段: {list(NumberExtraction.model_fields.keys())}") - print(f"✅ NumberExtractionResult字段: {list(NumberExtractionResult.model_fields.keys())}") - - return True - - except Exception as e: - print(f"❌ 模型测试失败: {e}") - return False - - -if __name__ == "__main__": - test_models() \ No newline at end of file diff --git a/uv.lock b/uv.lock index 639fa79..749c2d6 100644 --- a/uv.lock +++ b/uv.lock @@ -2,6 +2,15 @@ version = 1 revision = 2 requires-python = ">=3.13" +[[package]] +name = "absl-py" +version = "2.3.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/10/2a/c93173ffa1b39c1d0395b7e842bbdc62e556ca9d8d3b5572926f3e4ca752/absl_py-2.3.1.tar.gz", hash = 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