Files
Developer 47d1da7cea feat(backend): 更新核心模块和文件处理
- 更新配置模块 (config.py)
- 更新数据库连接 (database.py)
- 更新主应用入口 (main.py)
- 更新数据模型 (models.py)
- 更新基础 Schema (base.py)
- 更新文件处理器 (docx, excel, pdf)
- 更新 Dockerfile

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-17 17:30:11 +08:00

86 lines
3.0 KiB
Python

"""
Excel/CSV Text Extractor
"""
import asyncio
from typing import Dict, List
import pandas as pd
class ExcelProcessor:
"""Extract text from Excel and CSV files"""
def extract_csv(self, file_path: str) -> str:
"""Extract text from CSV file"""
df = pd.read_csv(file_path)
return self._dataframe_to_text(df)
async def extract_csv_async(self, file_path: str) -> str:
"""Extract CSV asynchronously"""
return await asyncio.get_event_loop().run_in_executor(
None, self.extract_csv, file_path
)
def extract_excel(self, file_path: str, sheet_name: str = None) -> str:
"""Extract text from Excel file"""
if sheet_name:
df = pd.read_excel(file_path, sheet_name=sheet_name)
return self._dataframe_to_text(df)
else:
# Read all sheets
sheets = pd.read_excel(file_path, sheet_name=None)
text_parts = []
for sheet_name, df in sheets.items():
text_parts.append(f"=== Sheet: {sheet_name} ===\n")
text_parts.append(self._dataframe_to_text(df))
return "\n\n".join(text_parts)
async def extract_excel_async(self, file_path: str, sheet_name: str = None) -> str:
"""Extract Excel asynchronously"""
return await asyncio.get_event_loop().run_in_executor(
None, self.extract_excel, file_path, sheet_name
)
def _dataframe_to_text(self, df: pd.DataFrame) -> str:
"""Convert DataFrame to readable text"""
text_parts = []
# Add column headers
if not df.empty:
text_parts.append(" | ".join(str(col) for col in df.columns))
text_parts.append("-" * len(text_parts[-1]))
# Add rows
for _, row in df.iterrows():
row_text = " | ".join(str(val) for val in row.values)
text_parts.append(row_text)
return "\n".join(text_parts)
def extract_all_sheets(self, file_path: str) -> Dict[str, str]:
"""Extract all sheets from Excel file"""
sheets = pd.read_excel(file_path, sheet_name=None)
return {name: self._dataframe_to_text(df) for name, df in sheets.items()}
async def extract_all_sheets_async(self, file_path: str) -> Dict[str, str]:
"""Extract all sheets asynchronously"""
return await asyncio.get_event_loop().run_in_executor(
None, self.extract_all_sheets, file_path
)
def get_sheet_names(self, file_path: str) -> List[str]:
"""Get all sheet names from Excel file"""
xl = pd.ExcelFile(file_path)
return xl.sheet_names
async def process_csv(file_path: str) -> str:
"""Process CSV file and return text"""
processor = ExcelProcessor()
return await processor.extract_csv_async(file_path)
async def process_excel(file_path: str) -> str:
"""Process Excel file and return text"""
processor = ExcelProcessor()
return await processor.extract_excel_async(file_path)