85 lines
4.1 KiB
Python
85 lines
4.1 KiB
Python
"""Excel file models for smart query."""
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from sqlalchemy.orm import Mapped, mapped_column
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from sqlalchemy import String, Integer, Text, Boolean, JSON, DateTime
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from sqlalchemy.sql import func
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from ..db.base import BaseModel
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class ExcelFile(BaseModel):
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"""Excel file model for storing file metadata."""
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__tablename__ = "excel_files"
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# Basic file information
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# user_id: Mapped[int] = mapped_column(Integer, nullable=False) # 用户ID
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original_filename: Mapped[str] = mapped_column(String(255), nullable=False) # 原始文件名
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file_path: Mapped[str] = mapped_column(String(500), nullable=False) # 文件存储路径
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file_size: Mapped[int] = mapped_column(Integer, nullable=False) # 文件大小（字节）
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file_type: Mapped[str] = mapped_column(String(50), nullable=False) # 文件类型 (.xlsx, .xls, .csv)
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# Excel specific information
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sheet_names: Mapped[list] = mapped_column(JSON, nullable=False) # 所有sheet名称列表
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default_sheet: Mapped[str | None] = mapped_column(String(100), nullable=True) # 默认sheet名称
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# Data preview information
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columns_info: Mapped[dict] = mapped_column(JSON, nullable=False) # 列信息：{sheet_name: [column_names]}
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preview_data: Mapped[dict] = mapped_column(JSON, nullable=False) # 前5行数据：{sheet_name: [[row1], [row2], ...]}
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data_types: Mapped[dict | None] = mapped_column(JSON, nullable=True) # 数据类型信息：{sheet_name: {column: dtype}}
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# Statistics
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total_rows: Mapped[dict | None] = mapped_column(JSON, nullable=True) # 每个sheet的总行数：{sheet_name: row_count}
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total_columns: Mapped[dict | None] = mapped_column(JSON, nullable=True) # 每个sheet的总列数：{sheet_name: column_count}
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# Processing status
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is_processed: Mapped[bool] = mapped_column(Boolean, default=True, nullable=False) # 是否已处理
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processing_error: Mapped[str | None] = mapped_column(Text, nullable=True) # 处理错误信息
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# Upload information
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# upload_time: Mapped[DateTime] = mapped_column(DateTime, default=func.now(), nullable=False) # 上传时间
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last_accessed: Mapped[DateTime | None] = mapped_column(DateTime, nullable=True) # 最后访问时间
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def __repr__(self):
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return f"<ExcelFile(id={self.id}, filename='{self.original_filename}')>"
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@property
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def file_size_mb(self):
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"""Get file size in MB."""
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return round(self.file_size / (1024 * 1024), 2)
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@property
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def sheet_count(self):
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"""Get number of sheets."""
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return len(self.sheet_names) if self.sheet_names else 0
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def get_sheet_info(self, sheet_name: str = None):
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"""Get information for a specific sheet or default sheet."""
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if not sheet_name:
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sheet_name = self.default_sheet or (self.sheet_names[0] if self.sheet_names else None)
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if not sheet_name or sheet_name not in self.sheet_names:
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return None
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return {
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'sheet_name': sheet_name,
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'columns': self.columns_info.get(sheet_name, []) if self.columns_info else [],
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'preview_data': self.preview_data.get(sheet_name, []) if self.preview_data else [],
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'data_types': self.data_types.get(sheet_name, {}) if self.data_types else {},
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'total_rows': self.total_rows.get(sheet_name, 0) if self.total_rows else 0,
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'total_columns': self.total_columns.get(sheet_name, 0) if self.total_columns else 0
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}
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def get_all_sheets_summary(self):
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"""Get summary information for all sheets."""
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if not self.sheet_names:
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return []
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summary = []
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for sheet_name in self.sheet_names:
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sheet_info = self.get_sheet_info(sheet_name)
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if sheet_info:
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summary.append({
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'sheet_name': sheet_name,
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'columns_count': len(sheet_info['columns']),
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'rows_count': sheet_info['total_rows'],
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'columns': sheet_info['columns'][:10] # 只显示前10列
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})
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return summary |