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AI-Driven Data Analysis Framework
==================================
Generic pipeline: works with any CSV file.
AI decides everything at runtime based on data characteristics.

Flow: Load CSV → AI understands metadata → AI plans analysis → AI executes tasks → AI generates report
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    Run the full AI-driven analysis pipeline.
    
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        user_requirement: Natural language requirement (optional)
        template_file: Report template path (optional)
        output_dir: Output directory
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## 数据概况
- 类型: u
- 行数: u
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- 质量: u/100
- 摘要: i<>
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## 关键字段
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## 分析结果
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## 关键洞察
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## 报告模板
```markdown
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```

## 要求
1. 用实际数据填充模板中所有占位符
2. 根据数据中的字段，智能映射到模板分类
3. 所有数字必须来自分析结果，不要编造
4. 如果某个模板分类在数据中没有对应，标注"本期无数据"
5. 保持Markdown格式
z.  AI filling template with analysis results...<2E>systemu}你是数据分析专家。根据分析结果填充报告模板，所有数字必须来自真实数据。输出纯Markdown。)<02>role<6C>content<6E>userg333333<33>?i<>)<04>model<65>messages<65>temperature<72>
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