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# -*- coding: utf-8 -*-
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import time
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from pathlib import Path
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from typing import Iterator, Optional
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from openai import OpenAI, APIError, APITimeoutError
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from Config import *
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class MarkdownGenerator:
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"""Markdown教学大纲生成器（OpenAI版本）"""
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def __init__(
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self,
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course_name: str,
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output_path: Optional[Path] = None,
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template_path: Optional[Path] = None
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):
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"""
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初始化生成器
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:param course_name: 课程名称（如：小学数学内角和）
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:param output_path: 输出文件路径（可选）
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:param template_path: 模板文件路径（可选）
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"""
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self.course_name = course_name
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self.template_path = template_path or DEFAULT_TEMPLATE
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self.output_path = output_path or DEFAULT_OUTPUT_DIR / f"{course_name}.md"
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self.client = OpenAI(api_key=MODEL_API_KEY, base_url=MODEL_API_URL) # 初始化OpenAI客户端
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self._validate_paths()
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def _validate_paths(self):
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"""路径验证（保持不变）"""
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if not self.template_path.exists():
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raise FileNotFoundError(f"模板文件不存在: {self.template_path}")
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self.output_path.parent.mkdir(parents=True, exist_ok=True)
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if not self.output_path.parent.is_dir():
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raise NotADirectoryError(f"无效的输出目录: {self.output_path.parent}")
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def _load_template(self) -> str:
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"""加载模板内容（保持不变）"""
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return self.template_path.read_text(encoding='utf-8')
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def _generate_stream(self) -> Iterator:
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"""流式生成内容（修改为OpenAI格式）"""
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system_prompt = (
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"请严格按照以下Markdown格式生成教学大纲：\n"
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f"{self._load_template()}\n"
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"注意：\n"
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"1. 使用#/##标记标题\n"
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"2. 每页内容以>开头\n"
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"3. 列表项使用-标记\n"
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"4. 内容中不要包含图片\n"
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)
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return self.client.chat.completions.create(
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model=MODEL_NAME,
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messages=[
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": f"请生成《{self.course_name}》教学大纲"}
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],
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stream=True,
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timeout=30 # 设置超时时间
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)
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def run(self) -> bool:
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"""执行生成流程（调整流式处理逻辑）"""
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start_time = time.time()
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spinner = ['⠋', '⠙', '⠹', '⠸', '⠼', '⠴', '⠦', '⠧', '⠇', '⠏']
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content_buffer = []
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try:
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print(f"🚀 开始生成【{self.course_name}】教学大纲")
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stream = self._generate_stream()
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for idx, chunk in enumerate(stream):
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print(f"\r{spinner[idx % 10]} 生成中（{int(time.time() - start_time)}秒）", end="")
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# 处理OpenAI流式响应
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if chunk.choices and chunk.choices[0].delta.content:
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content_chunk = chunk.choices[0].delta.content
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content_buffer.append(content_chunk)
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if len(content_buffer) == 1:
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print("\n\n📝 内容生成开始：")
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print(content_chunk, end="", flush=True)
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# 保存结果
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if content_buffer:
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full_content = ''.join(content_buffer)
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self.output_path.write_text(full_content, encoding='utf-8')
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print(f"\n\n✅ 生成成功！耗时 {int(time.time() - start_time)}秒")
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print(f"📂 文件已保存至：{self.output_path}")
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return True
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return False
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except APITimeoutError as e:
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print(f"\n\n❌ 请求超时：{str(e)}")
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return False
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except APIError as e:
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print(f"\n\n❌ API错误：{str(e)}")
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return False
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except Exception as e:
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print(f"\n\n❌ 未处理异常：{str(e)}")
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return False
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def generate_document(
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course_name: str,
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output_path: Optional[str] = None,
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template_path: Optional[str] = None
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):
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"""
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生成文档入口函数（保持不变）
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"""
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try:
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generator = MarkdownGenerator(
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course_name=course_name,
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output_path=Path(output_path) if output_path else None,
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template_path=Path(template_path) if template_path else None
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)
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return generator.run()
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except Exception as e:
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print(f"❌ 初始化失败：{str(e)}")
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return False |
