112 lines
4.6 KiB
Python
112 lines
4.6 KiB
Python
import asyncio
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import logging
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import os
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import aiofiles
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from openai import AsyncOpenAI
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from Config.Config import ALY_LLM_API_KEY, ALY_LLM_BASE_URL, ALY_LLM_MODEL_NAME
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# 配置日志
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logger = logging.getLogger(__name__)
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class LLMClient:
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"""
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大语言模型客户端封装类，提供与LLM的交互功能
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"""
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def __init__(self, api_key=None, base_url=None, model_name=None, system_prompt=""):
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self.api_key = api_key or ALY_LLM_API_KEY
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self.base_url = base_url or ALY_LLM_BASE_URL
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self.model_name = model_name or ALY_LLM_MODEL_NAME
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self.system_prompt = system_prompt
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async def get_response(self, query_text: str, knowledge_content: str = "", stream: bool = True):
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"""异步获取大模型响应"""
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try:
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client = AsyncOpenAI(api_key=self.api_key, base_url=self.base_url)
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full_query = query_text
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if knowledge_content:
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full_query = f"选择作答的相应知识内容:{knowledge_content}\n下面是用户提的问题：{query_text}"
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completion = await client.chat.completions.create(
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model=self.model_name,
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messages=[
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{'role': 'system', 'content': self.system_prompt},
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{'role': 'user', 'content': full_query}
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],
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stream=stream
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)
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if stream:
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async for chunk in completion:
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if chunk and chunk.choices and len(chunk.choices) > 0:
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delta = chunk.choices[0].delta
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if delta and delta.content and delta.content.strip():
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yield delta.content
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else:
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if completion and completion.choices and len(completion.choices) > 0:
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message = completion.choices[0].message
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if message and message.content and message.content.strip():
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yield message.content
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except Exception as e:
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logger.error(f"大模型请求异常: {str(e)}")
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yield f"处理请求时发生异常: {str(e)}"
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async def save_lesson_plan(content_chunks, output_file, stream_print=False):
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"""异步保存教案内容到文件，支持实时打印"""
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try:
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output_dir = os.path.dirname(output_file)
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if output_dir and not os.path.exists(output_dir):
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os.makedirs(output_dir, exist_ok=True)
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logger.info(f"创建输出目录: {output_dir}")
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async with aiofiles.open(output_file, 'w', encoding='utf-8') as f:
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full_content = []
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async for chunk in content_chunks:
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full_content.append(chunk)
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await f.write(chunk)
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await f.flush()
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# 实时打印输出内容
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if stream_print:
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print(chunk, end='', flush=True)
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logger.info(f"教案已保存到: {os.path.abspath(output_file)}")
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return ''.join(full_content), True
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except Exception as e:
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logger.error(f"保存教案失败: {str(e)}")
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return None, False
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async def generate_gravitation_lesson_plan():
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"""生成万有引力教案的异步函数"""
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system_prompt = """你是市级骨干教师，撰写教案时严格对标“核心素养四维度（物理观念、科学思维、探究能力、态度责任）”，并采用“目标—评价—活动”逆向设计模板（UbD）。活动设计需包含“教师行为+期望的学生行为+评价要点”三列表格。"""
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llm_client = LLMClient(system_prompt=system_prompt)
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prompt = """请输出“万有引力”第1课时的详案，要求：
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1. 教学重难点用“行为动词+知识内容”表述；
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2. 至少1个“演示实验”+1个“小组探究”+1个“即时反馈”技术（如Padlet）；
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3. 时间轴精确到分钟；
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4. 课后“教学反思提示”留3条空白，供教师手写。
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【格式要求】
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### 1. 教材与学情分析
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### 2. 四维目标（对应核心素养）
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### 3. 重难点
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### 4. 教学准备（器材+数字资源）
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### 5. 教学过程（时间轴表格）
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### 6. 板书设计（ASCII示意图）
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### 7. 作业布置（与导学案分层衔接）
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### 8. 教学反思提示（空白）
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【变量】
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教材版本：{人教版八年级下第十章第2节}
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学生基础：{已学过重力、匀速圆周运动}
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课时长度：{45分钟}"""
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async def get_lesson_plan():
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async for chunk in llm_client.get_response(prompt, stream=True):
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yield chunk
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return get_lesson_plan() |