d7f6228d7f
- تفعيل مكون SummarizePdf لإنشاء ملخصات PDF باستخدام الذكاء الاصطناعي. - تفعيل مكون TranslatePdf لترجمة محتوى PDF إلى لغات متعددة. - تفعيل مكون TableExtractor لاستخراج الجداول من ملفات PDF. - تحديث الصفحة الرئيسية والتوجيه ليشمل الأدوات الجديدة. - إضافة ترجمات للأدوات الجديدة باللغات الإنجليزية والعربية والفرنسية. - توسيع أنواع واجهة برمجة التطبيقات (API) لدعم الميزات الجديدة المتعلقة بمعالجة ملفات PDF. --feat: Initialize frontend with React, Vite, and Tailwind CSS - Set up main entry point for React application. - Create About, Home, NotFound, Privacy, and Terms pages with SEO support. - Implement API service for file uploads and task management. - Add global styles using Tailwind CSS. - Create utility functions for SEO and text processing. - Configure Vite for development and production builds. - Set up Nginx configuration for serving frontend and backend. - Add scripts for cleanup of expired files and sitemap generation. - Implement deployment script for production environment.
85 lines
2.4 KiB
Python
85 lines
2.4 KiB
Python
"""PDF to Excel conversion service."""
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import os
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import logging
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logger = logging.getLogger(__name__)
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class PdfToExcelError(Exception):
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"""Custom exception for PDF to Excel conversion failures."""
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pass
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def pdf_to_excel(input_path: str, output_path: str) -> dict:
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"""
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Convert a PDF file containing tables to an Excel spreadsheet.
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Args:
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input_path: Path to the input PDF
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output_path: Path for the output Excel file
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Returns:
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dict with total_pages, tables_found, output_size
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Raises:
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PdfToExcelError: If conversion fails
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"""
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try:
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import tabula
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os.makedirs(os.path.dirname(output_path), exist_ok=True)
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# Read all tables from the PDF
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tables = tabula.read_pdf(
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input_path, pages="all", multiple_tables=True, silent=True
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)
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if not tables:
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raise PdfToExcelError(
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"No tables found in the PDF. This tool works best with PDFs that contain tabular data."
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)
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# Write tables to Excel, each table on its own sheet
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import openpyxl
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wb = openpyxl.Workbook()
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# Remove default sheet
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wb.remove(wb.active)
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for idx, df in enumerate(tables, 1):
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sheet_name = f"Table_{idx}"
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ws = wb.create_sheet(title=sheet_name)
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# Write header
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for col_idx, col_name in enumerate(df.columns, 1):
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ws.cell(row=1, column=col_idx, value=str(col_name))
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# Write data
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for row_idx, row in enumerate(df.values, 2):
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for col_idx, value in enumerate(row, 1):
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cell_value = value
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# Convert NaN to empty string
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if isinstance(value, float) and str(value) == "nan":
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cell_value = ""
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ws.cell(row=row_idx, column=col_idx, value=cell_value)
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wb.save(output_path)
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output_size = os.path.getsize(output_path)
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logger.info(
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f"PDF→Excel: {len(tables)} tables extracted → {output_size} bytes"
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)
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return {
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"tables_found": len(tables),
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"output_size": output_size,
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}
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except PdfToExcelError:
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raise
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except ImportError as e:
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raise PdfToExcelError(f"Required library not installed: {e}")
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except Exception as e:
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raise PdfToExcelError(f"Failed to convert PDF to Excel: {str(e)}")
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