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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 D1_Config import *
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import dashscope
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from dashscope import Generation
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from dashscope.api_entities.dashscope_response import DashScopeAPIResponse
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class MarkdownGenerator:
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"""Markdown教学大纲生成器"""
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# 固定配置项
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DEFAULT_TEMPLATE = Path(mdWorkingPath + r'\default.md')
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DEFAULT_OUTPUT_DIR = Path(mdWorkingPath)
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MODEL_R1 = "deepseek-r1"
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API_KEY = "sk-01d13a39e09844038322108ecdbd1bbc"
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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 self.DEFAULT_TEMPLATE
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self.output_path = output_path or self.DEFAULT_OUTPUT_DIR / f"{course_name}.md"
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self._validate_paths()
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def _validate_paths(self):
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"""路径验证"""
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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"""
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return self.template_path.read_text(encoding='utf-8')
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def _generate_stream(self) -> Iterator[DashScopeAPIResponse]:
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"""流式生成内容"""
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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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)
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return Generation.call(
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model=self.MODEL_R1,
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api_key=self.API_KEY,
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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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result_format='message',
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stream=True,
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incremental_output=True
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)
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def run(self) -> bool:
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"""执行生成流程"""
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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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responses = self._generate_stream()
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for idx, response in enumerate(responses):
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# 显示进度
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print(f"\r{spinner[idx % 10]} 生成中（{int(time.time() - start_time)}秒）", end="")
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if response.status_code == 200 and response.output:
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if chunk := response.output.choices[0].message.content:
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content_buffer.append(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(chunk, end="", flush=True)
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# 保存结果
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if content_buffer:
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self.output_path.write_text(''.join(content_buffer), 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 Exception as e:
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print(f"\n\n❌ 生成失败：{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
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:param course_name: 课程名称
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:param output_path: 输出路径（可选）
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:param template_path: 模板路径（可选）
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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
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if __name__ == "__main__":
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# 使用示例（实际使用时参数可写在此处）
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dashscope.api_key = MarkdownGenerator.API_KEY
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generate_document(
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course_name="小学数学三角形面积",
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output_path=mdWorkingPath + r"\5.md"
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)
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