QingLong/AI/R2_CheckZuoWen.py

import os
import json
import re
from typing import Iterator
from openai import OpenAI


class EnglishEssayAnalyzer:
    def __init__(self):
        self.client = OpenAI(
            api_key=os.getenv("DEEPSEEK_API_KEY", "sk-01d13a39e09844038322108ecdbd1bbc"),
            base_url="https://dashscope.aliyuncs.com/compatible-mode/v1"
        )

    def _build_prompt(self, essay: str) -> str:
        return f"""你是一位专业的英语教师，请分析以下英文作文：
{essay}

请按以下顺序指出问题：
1. 语法错误（标注行号）
2. 用词不当
3. 逻辑结构问题
4. 改进建议

用中文回答，保持专业但易懂的语气。"""

    def analyze_stream(self, essay: str) -> Iterator[str]:
        """流式分析作文（新增关键方法）"""
        try:
            stream = self.client.chat.completions.create(
                model="deepseek-r1",
                messages=[{
                    "role": "user",
                    "content": self._build_prompt(essay)
                }],
                temperature=0.3,
                stream=True
            )

            for chunk in stream:
                if chunk.choices and chunk.choices[0].delta.content:
                    yield chunk.choices[0].delta.content

        except Exception as e:
            yield f"\n分析中断：{str(e)}"

    def full_analysis(self, essay: str) -> dict:
        """完整分析并返回结构化结果"""
        analysis = {
            "grammar_errors": [],
            "vocabulary_issues": [],
            "structure_problems": [],
            "suggestions": []
        }

        current_category = None
        buffer = ""
        for chunk in self.analyze_stream(essay):  # 现在可以正确调用
            print(chunk, end='', flush=True)
            buffer += chunk

            # 分类检测逻辑
            if re.match(r'^\d+\.\s', buffer):
                if '：' in buffer:
                    parts = buffer.split('：', 1)
                    current_category = parts[0].strip()
                    buffer = parts[1]

                    # 初始化当前分类
                    if '语法' in current_category:
                        analysis['grammar_errors'].append('')
                    elif '用词' in current_category:
                        analysis['vocabulary_issues'].append('')
                    elif '逻辑' in current_category:
                        analysis['structure_problems'].append('')
                    elif '改进' in current_category:
                        analysis['suggestions'].append('')

            # 内容填充
            if current_category:
                if '语法' in current_category:
                    analysis['grammar_errors'][-1] += chunk
                elif '用词' in current_category:
                    analysis['vocabulary_issues'][-1] += chunk
                elif '逻辑' in current_category:
                    analysis['structure_problems'][-1] += chunk
                elif '改进' in current_category:
                    analysis['suggestions'][-1] += chunk

        # 后处理
        for key in analysis:
            analysis[key] = [text.strip() for text in analysis[key] if text.strip()]

        return analysis


if __name__ == "__main__":
    # 示例用法
    essay = """
    Dear Peter，  Knowing that you have won the first prize in The Chinese Chess NetworkChallengeCompetition， I feel very delighted. I'm writing to offer my warmest congratulations to you. From my perspective， you derseve what you gained What lead to your success is your diligence and go  all out for the contest， making me admire you. On  top of this， It's real encouragement to me to see  your effors pay off. How I marvel at your perfect performance， which inspires my passion on Chinese Chess and other traditional skills， I would appreciate if you could share with me your experience on learn it. Looking forward to your early reply Your sincerely
    """

    analyzer = EnglishEssayAnalyzer()
    print("🔍 开始分析作文...\n")
    result = analyzer.full_analysis(essay)

    with open("analysis_report.json", "w", encoding="utf-8") as f:
        json.dump(result, f, ensure_ascii=False, indent=2)

    print("\n\n✅ 分析结果已保存至 analysis_report.json")