#!/usr/bin/env python3 """Parse structured data from PDF forms and tables. This script demonstrates advanced PDF processing capabilities. """ import sys import json import os def parse_pdf(file_path: str, extract_tables: bool, extract_forms: bool): """ Parse structured data from PDF (mock implementation). In a real implementation, this would use libraries like: - tabula-py or camelot for table extraction - PyPDF2 or pdfplumber for form field extraction Args: file_path: Path to the PDF file extract_tables: Whether to extract tables extract_forms: Whether to extract form fields Returns: dict with parsed data """ result = { "file_path": file_path, "extracted_data": {} } if extract_tables: result["extracted_data"]["tables"] = [ { "page": 1, "rows": 5, "columns": 3, "data": [ ["Header1", "Header2", "Header3"], ["Row1Col1", "Row1Col2", "Row1Col3"], ["Row2Col1", "Row2Col2", "Row2Col3"] ] } ] if extract_forms: result["extracted_data"]["forms"] = { "name": "John Doe", "email": "john@example.com", "checkbox_agree": True } return result def main(): """Main entry point for PDF parsing script.""" try: # Read JSON arguments from stdin args = json.load(sys.stdin) # Validate and extract arguments file_path = args.get("file_path") if not file_path: raise ValueError("Missing required argument: file_path") extract_tables = args.get("extract_tables", False) extract_forms = args.get("extract_forms", False) # Perform parsing result = parse_pdf(file_path, extract_tables, extract_forms) # Output result as JSON print(json.dumps(result, indent=2)) sys.exit(0) except json.JSONDecodeError as e: error = {"error": "Invalid JSON input", "details": str(e)} print(json.dumps(error), file=sys.stderr) sys.exit(1) except ValueError as e: error = {"error": "Invalid arguments", "details": str(e)} print(json.dumps(error), file=sys.stderr) sys.exit(1) except Exception as e: error = {"error": "Unexpected error", "details": str(e)} print(json.dumps(error), file=sys.stderr) sys.exit(1) if __name__ == "__main__": main()