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# -*- coding: utf-8 -*-
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from pathlib import Path
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from typing import Optional, Tuple
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from openai import OpenAI, APIError, APITimeoutError
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import time
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import httpx
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class ContentAnalyzer:
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"""课程内容分析器（长超时版）"""
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def __init__(
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self,
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api_key: str = "sk-01d13a39e09844038322108ecdbd1bbc",
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base_url: str = "https://dashscope.aliyuncs.com/compatible-mode/v1",
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model: str = "deepseek-v3",
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max_retries: int = 10,
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initial_timeout: int = 120 # 初始超时改为120秒
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):
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self._show_progress("🔧", "初始化分析器...", level=0)
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self.client = OpenAI(api_key=api_key, base_url=base_url)
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self.model = model
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self.max_retries = max_retries
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self.initial_timeout = initial_timeout
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self._check_network()
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self._show_progress("✅", "分析器准备就绪", level=0)
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def _show_progress(self, emoji: str, message: str, level: int = 1):
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indent = " " * level
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timestamp = time.strftime("%H:%M:%S")
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print(f"{indent}{emoji} [{timestamp}] {message}")
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def _check_network(self):
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try:
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with httpx.Client(timeout=30) as client: # 网络检查超时延长到30秒
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client.get("https://dashscope.aliyuncs.com")
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self._show_progress("🌐", "网络连接正常", level=1)
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except Exception as e:
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self._show_progress("❌", f"网络异常: {str(e)}", level=1)
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raise
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def analyze_content(
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self,
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content: str,
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prompt_template: str = "帮我梳理：这节课分了几个部分，每部分的名称和开始的时间是多少：{}"
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) -> Tuple[bool, str]:
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for attempt in range(self.max_retries + 1):
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try:
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# 动态计算超时时间：60s, 65s, 70s...
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current_timeout = self.initial_timeout + attempt * 5
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self._show_progress("⏱️", f"尝试 {attempt + 1}/{self.max_retries} (超时: {current_timeout}s)")
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full_prompt = prompt_template.format(content)
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completion = self.client.chat.completions.create(
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model=self.model,
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messages=[{'role': 'user', 'content': full_prompt}],
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timeout=current_timeout
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)
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if not completion.choices:
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self._show_progress("⚠️", "API返回空响应", level=2)
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return False, "API响应中未包含有效结果"
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self._show_progress("✅", "请求成功", level=2)
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return True, completion.choices[0].message.content
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except APITimeoutError:
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if attempt < self.max_retries:
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delay = 2 ** attempt
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self._show_progress("⏳", f"{delay}s后重试...", level=2)
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time.sleep(delay)
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else:
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self._show_progress("❌", "超过最大重试次数", level=2)
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return False, f"API请求超时，已重试{self.max_retries}次"
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except APIError as e:
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self._show_progress("🚨", f"API错误: {str(e)}", level=2)
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return False, f"API调用失败: {str(e)}"
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except Exception as e:
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self._show_progress("💥", f"意外错误: {str(e)}", level=2)
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return False, f"未处理的异常: {str(e)}"
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return False, "未知错误"
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def analyze_file(
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self,
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file_path: Path,
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output_path: Optional[Path] = None,
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encoding: str = 'utf-8'
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) -> Tuple[bool, str]:
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"""处理文件全流程"""
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try:
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self._show_progress("📂", f"开始处理文件: {file_path}", level=0)
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# 检查文件
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self._show_progress("🔍", "验证文件...", level=1)
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if not file_path.exists():
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self._show_progress("❌", "文件不存在", level=2)
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return False, f"文件不存在: {file_path}"
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if file_path.stat().st_size > 10 * 1024 * 1024: # 10MB警告
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self._show_progress("⚠️", "注意：大文件可能影响处理速度", level=2)
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# 读取内容
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self._show_progress("📖", "读取文件内容...", level=1)
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try:
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content = file_path.read_text(encoding=encoding)
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except UnicodeDecodeError:
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self._show_progress("🔠", "解码失败，尝试GBK编码...", level=2)
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content = file_path.read_text(encoding='gbk')
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# 分析内容
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self._show_progress("🧠", "开始分析...", level=1)
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success, result = self.analyze_content(content)
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if not success:
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return False, result
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# 保存结果
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if output_path:
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self._show_progress("💾", f"保存到: {output_path}", level=1)
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try:
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output_path.parent.mkdir(parents=True, exist_ok=True)
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output_path.write_text(result, encoding=encoding)
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self._show_progress("✅", "保存成功", level=2)
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except Exception as e:
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self._show_progress("❌", f"保存失败: {str(e)}", level=2)
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return False, f"结果保存失败: {str(e)}"
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self._show_progress("🎉", "处理完成！", level=0)
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return True, result
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except Exception as e:
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self._show_progress("💣", f"严重错误: {str(e)}", level=1)
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return False, f"文件处理失败: {str(e)}"
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def main():
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print("\n" + "=" * 50)
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print(" 🚀 长春云校视频课程智能打标记系统 ".center(50, "✨"))
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print("=" * 50)
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analyzer = ContentAnalyzer(initial_timeout=120) # 显式设置初始超时
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input_file = Path(r"D:\dsWork\QingLong\AI\音频文本.txt")
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output_file = Path(r"D:\dsWork\QingLong\AI\分析结果.txt")
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success, result = analyzer.analyze_file(input_file, output_file)
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print("\n" + "=" * 50)
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if success:
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print("✅ 分析成功！结果如下：\n")
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print(result)
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else:
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print(f"❌ 分析失败：{result}")
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print("=" * 50)
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if __name__ == '__main__':
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main() |
