This MVP release provides a complete full-stack solution for managing action mappings in Geutebruck's GeViScope and GeViSoft video surveillance systems. ## Features ### Flutter Web Application (Port 8081) - Modern, responsive UI for managing action mappings - Action picker dialog with full parameter configuration - Support for both GSC (GeViScope) and G-Core server actions - Consistent UI for input and output actions with edit/delete capabilities - Real-time action mapping creation, editing, and deletion - Server categorization (GSC: prefix for GeViScope, G-Core: prefix for G-Core servers) ### FastAPI REST Backend (Port 8000) - RESTful API for action mapping CRUD operations - Action template service with comprehensive action catalog (247 actions) - Server management (G-Core and GeViScope servers) - Configuration tree reading and writing - JWT authentication with role-based access control - PostgreSQL database integration ### C# SDK Bridge (gRPC, Port 50051) - Native integration with GeViSoft SDK (GeViProcAPINET_4_0.dll) - Action mapping creation with correct binary format - Support for GSC and G-Core action types - Proper Camera parameter inclusion in action strings (fixes CrossSwitch bug) - Action ID lookup table with server-specific action IDs - Configuration reading/writing via SetupClient ## Bug Fixes - **CrossSwitch Bug**: GSC and G-Core actions now correctly display camera/PTZ head parameters in GeViSet - Action strings now include Camera parameter: `@ PanLeft (Comment: "", Camera: 101028)` - Proper filter flags and VideoInput=0 for action mappings - Correct action ID assignment (4198 for GSC, 9294 for G-Core PanLeft) ## Technical Stack - **Frontend**: Flutter Web, Dart, Dio HTTP client - **Backend**: Python FastAPI, PostgreSQL, Redis - **SDK Bridge**: C# .NET 8.0, gRPC, GeViSoft SDK - **Authentication**: JWT tokens - **Configuration**: GeViSoft .set files (binary format) ## Credentials - GeViSoft/GeViScope: username=sysadmin, password=masterkey - Default admin: username=admin, password=admin123 ## Deployment All services run on localhost: - Flutter Web: http://localhost:8081 - FastAPI: http://localhost:8000 - SDK Bridge gRPC: localhost:50051 - GeViServer: localhost (default port) Generated with Claude Code (https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
111 lines
3.0 KiB
Python
111 lines
3.0 KiB
Python
#!/usr/bin/env python3
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"""
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PDF to Text Converter and Splitter
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Converts PDF files to text and splits them into chunks of N pages each
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"""
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import os
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import sys
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from pathlib import Path
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from pypdf import PdfReader
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def convert_and_split_pdf(pdf_path, pages_per_chunk=10):
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"""
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Convert a PDF to text and split into smaller text files
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Args:
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pdf_path: Path to the PDF file
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pages_per_chunk: Number of pages per output file (default: 10)
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"""
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pdf_path = Path(pdf_path)
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if not pdf_path.exists():
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print(f"Error: PDF file not found: {pdf_path}")
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return
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print(f"Processing: {pdf_path.name}")
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# Read the PDF
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reader = PdfReader(pdf_path)
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total_pages = len(reader.pages)
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print(f"Total pages: {total_pages}")
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# Create output directory
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output_dir = pdf_path.parent / f"{pdf_path.stem}_text"
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output_dir.mkdir(exist_ok=True)
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print(f"Output directory: {output_dir}")
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# Process pages in chunks
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chunk_num = 1
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page_num = 0
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while page_num < total_pages:
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# Determine the range for this chunk
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start_page = page_num
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end_page = min(page_num + pages_per_chunk, total_pages)
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# Extract text from pages in this chunk
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chunk_text = []
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chunk_text.append(f"{'=' * 80}\n")
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chunk_text.append(f"{pdf_path.name} - Pages {start_page + 1} to {end_page}\n")
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chunk_text.append(f"{'=' * 80}\n\n")
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for i in range(start_page, end_page):
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page = reader.pages[i]
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text = page.extract_text()
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chunk_text.append(f"\n{'─' * 80}\n")
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chunk_text.append(f"Page {i + 1}\n")
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chunk_text.append(f"{'─' * 80}\n\n")
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chunk_text.append(text)
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chunk_text.append("\n")
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# Save the chunk to a file
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output_file = output_dir / f"{pdf_path.stem}_pages_{start_page + 1:03d}-{end_page:03d}.txt"
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with open(output_file, 'w', encoding='utf-8') as f:
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f.write(''.join(chunk_text))
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print(f" Created: {output_file.name} (pages {start_page + 1}-{end_page})")
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page_num = end_page
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chunk_num += 1
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print(f"\nCompleted! Created {chunk_num - 1} text files in {output_dir}")
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print()
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def main():
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if len(sys.argv) < 2:
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print("Usage: python pdf_converter.py <pdf_file1> [pdf_file2] ...")
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print(" python pdf_converter.py <pdf_file> --pages N")
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sys.exit(1)
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# Default pages per chunk
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pages_per_chunk = 10
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pdf_files = []
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# Parse arguments
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i = 1
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while i < len(sys.argv):
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if sys.argv[i] == '--pages' and i + 1 < len(sys.argv):
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pages_per_chunk = int(sys.argv[i + 1])
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i += 2
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else:
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pdf_files.append(sys.argv[i])
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i += 1
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if not pdf_files:
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print("Error: No PDF files specified")
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sys.exit(1)
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print(f"PDF to Text Converter - {pages_per_chunk} pages per chunk\n")
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# Process each PDF file
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for pdf_file in pdf_files:
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convert_and_split_pdf(pdf_file, pages_per_chunk)
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if __name__ == "__main__":
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main()
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