# -*- coding: utf-8 -*-
from typing import Optional, Tuple, Iterator
from openai import OpenAI, APIError, APITimeoutError
import time
import httpx
from Config import *

class ContentAnalyzer:
    """课程内容分析器（流式版本）"""

    def __init__(
            self,
            api_key: str = MODEL_API_KEY,
            base_url: str = MODEL_API_URL,
            model: str = MODEL_NAME,
            max_retries: int = 10,
            initial_timeout: int = 300
    ):
        self._show_progress("🔧", "初始化分析器...", level=0)
        self.client = OpenAI(api_key=api_key, base_url=base_url)
        self.model = model
        self.max_retries = max_retries
        self.initial_timeout = initial_timeout
        self._check_network()
        self._show_progress("✅", "分析器准备就绪", level=0)

    def _show_progress(self, emoji: str, message: str, level: int = 1):
        indent = "  " * level
        timestamp = time.strftime("%H:%M:%S")
        print(f"{indent}{emoji} [{timestamp}] {message}")

    def _check_network(self):
        try:
            with httpx.Client(timeout=30) as client:
                client.get("https://dashscope.aliyuncs.com")
            self._show_progress("🌐", "网络连接正常", level=1)
        except Exception as e:
            self._show_progress("❌", f"网络异常: {str(e)}", level=1)
            raise

    def _retry_delay(self, attempt: int) -> int:
        """指数退避延迟"""
        return min(2 ** attempt, 60)  # 最大延迟60秒

    def analyze_content_stream(
            self,
            content: str,
            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：{}"
    ) -> Iterator[Tuple[bool, str]]:
        """流式分析内容"""
        for attempt in range(self.max_retries + 1):
            try:
                current_timeout = self.initial_timeout + attempt * 5
                self._show_progress("⏱️", f"尝试 {attempt + 1}/{self.max_retries} (超时: {current_timeout}s)", level=2)

                full_prompt = prompt_template.format(content)
                stream = self.client.chat.completions.create(
                    model=self.model,
                    messages=[{'role': 'user', 'content': full_prompt}],
                    timeout=current_timeout,
                    stream=True  # 启用流式模式
                )

                buffer = []
                for chunk in stream:
                    if chunk.choices and chunk.choices[0].delta.content:
                        content_chunk = chunk.choices[0].delta.content
                        buffer.append(content_chunk)
                        yield True, content_chunk  # 实时返回每个片段

                # 返回完整结果
                if buffer:
                    yield True, ''.join(buffer)
                return

            except APITimeoutError as e:
                if attempt < self.max_retries:
                    delay = self._retry_delay(attempt)
                    self._show_progress("⏳", f"{delay}s后重试...", level=2)
                    time.sleep(delay)
                else:
                    yield False, f"API请求超时，已重试{self.max_retries}次"
                    return

            except APIError as e:
                yield False, f"API错误: {str(e)}"
                return

            except Exception as e:
                yield False, f"未处理的异常: {str(e)}"
                return

    def analyze_file(
            self,
            file_path: Path,
            output_path: Optional[Path] = None,
            encoding: str = 'utf-8'
    ) -> Tuple[bool, str]:
        """处理文件全流程（流式版本）"""
        try:
            self._show_progress("📂", f"开始处理文件: {file_path}", level=0)

            # 文件验证
            self._show_progress("🔍", "验证文件...", level=1)
            if not file_path.exists():
                self._show_progress("❌", "文件不存在", level=2)
                return False, f"文件不存在: {file_path}"
            if file_path.stat().st_size > 10 * 1024 * 1024:
                self._show_progress("⚠️", "注意：大文件可能影响处理速度", level=2)

            # 读取内容
            self._show_progress("📖", "读取文件内容...", level=1)
            try:
                content = file_path.read_text(encoding=encoding)
            except UnicodeDecodeError:
                self._show_progress("🔠", "解码失败，尝试GBK编码...", level=2)
                content = file_path.read_text(encoding='gbk')

            # 流式分析
            self._show_progress("🧠", "开始流式分析...", level=1)
            result_buffer = []
            has_error = False
            error_msg = ""

            for status, chunk in self.analyze_content_stream(content):
                if not status:
                    has_error = True
                    error_msg = chunk
                    break
                print(chunk, end='', flush=True)  # 实时输出
                result_buffer.append(chunk)

            if has_error:
                self._show_progress("❌", f"分析失败: {error_msg}", level=1)
                return False, error_msg

            final_result = ''.join(result_buffer)

            # 保存结果
            if output_path:
                self._show_progress("💾", f"保存到: {output_path}", level=1)
                try:
                    output_path.parent.mkdir(parents=True, exist_ok=True)
                    output_path.write_text(final_result, encoding=encoding)
                    self._show_progress("✅", "保存成功", level=2)
                except Exception as e:
                    self._show_progress("❌", f"保存失败: {str(e)}", level=2)
                    return False, f"结果保存失败: {str(e)}"

            self._show_progress("🎉", "处理完成！", level=0)
            return True, final_result

        except Exception as e:
            self._show_progress("💣", f"严重错误: {str(e)}", level=1)
            return False, f"文件处理失败: {str(e)}"


def analyzer_action(input_file, output_file):
    print("\n" + "=" * 50)
    print("  🚀 长春云校视频课程智能打标记系统  ".center(50, "✨"))
    print("=" * 50)

    analyzer = ContentAnalyzer(initial_timeout=300)
    success, result = analyzer.analyze_file(Path(input_file), Path(output_file))

    print("\n" + "=" * 50)
    if success:
        print("\n✅ 分析成功！结果已保存至：", output_file)
    else:
        print(f"\n❌ 分析失败：{result}")
    print("=" * 50)