feat: Geutebruck GeViScope/GeViSoft Action Mapping System - MVP

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>

SOURCES/pdf_converter.py

@@ -0,0 +1,110 @@
+#!/usr/bin/env python3
+"""
+PDF to Text Converter and Splitter
+Converts PDF files to text and splits them into chunks of N pages each
+"""
+
+import os
+import sys
+from pathlib import Path
+from pypdf import PdfReader
+
+
+def convert_and_split_pdf(pdf_path, pages_per_chunk=10):
+    """
+    Convert a PDF to text and split into smaller text files
+
+    Args:
+        pdf_path: Path to the PDF file
+        pages_per_chunk: Number of pages per output file (default: 10)
+    """
+    pdf_path = Path(pdf_path)
+
+    if not pdf_path.exists():
+        print(f"Error: PDF file not found: {pdf_path}")
+        return
+
+    print(f"Processing: {pdf_path.name}")
+
+    # Read the PDF
+    reader = PdfReader(pdf_path)
+    total_pages = len(reader.pages)
+    print(f"Total pages: {total_pages}")
+
+    # Create output directory
+    output_dir = pdf_path.parent / f"{pdf_path.stem}_text"
+    output_dir.mkdir(exist_ok=True)
+    print(f"Output directory: {output_dir}")
+
+    # Process pages in chunks
+    chunk_num = 1
+    page_num = 0
+
+    while page_num < total_pages:
+        # Determine the range for this chunk
+        start_page = page_num
+        end_page = min(page_num + pages_per_chunk, total_pages)
+
+        # Extract text from pages in this chunk
+        chunk_text = []
+        chunk_text.append(f"{'=' * 80}\n")
+        chunk_text.append(f"{pdf_path.name} - Pages {start_page + 1} to {end_page}\n")
+        chunk_text.append(f"{'=' * 80}\n\n")
+
+        for i in range(start_page, end_page):
+            page = reader.pages[i]
+            text = page.extract_text()
+
+            chunk_text.append(f"\n{'─' * 80}\n")
+            chunk_text.append(f"Page {i + 1}\n")
+            chunk_text.append(f"{'─' * 80}\n\n")
+            chunk_text.append(text)
+            chunk_text.append("\n")
+
+        # Save the chunk to a file
+        output_file = output_dir / f"{pdf_path.stem}_pages_{start_page + 1:03d}-{end_page:03d}.txt"
+        with open(output_file, 'w', encoding='utf-8') as f:
+            f.write(''.join(chunk_text))
+
+        print(f"  Created: {output_file.name} (pages {start_page + 1}-{end_page})")
+
+        page_num = end_page
+        chunk_num += 1
+
+    print(f"\nCompleted! Created {chunk_num - 1} text files in {output_dir}")
+    print()
+
+
+def main():
+    if len(sys.argv) < 2:
+        print("Usage: python pdf_converter.py <pdf_file1> [pdf_file2] ...")
+        print("       python pdf_converter.py <pdf_file> --pages N")
+        sys.exit(1)
+
+    # Default pages per chunk
+    pages_per_chunk = 10
+    pdf_files = []
+
+    # Parse arguments
+    i = 1
+    while i < len(sys.argv):
+        if sys.argv[i] == '--pages' and i + 1 < len(sys.argv):
+            pages_per_chunk = int(sys.argv[i + 1])
+            i += 2
+        else:
+            pdf_files.append(sys.argv[i])
+            i += 1
+
+    if not pdf_files:
+        print("Error: No PDF files specified")
+        sys.exit(1)
+
+    print(f"PDF to Text Converter - {pages_per_chunk} pages per chunk\n")
+
+    # Process each PDF file
+    for pdf_file in pdf_files:
+        convert_and_split_pdf(pdf_file, pages_per_chunk)
+
+
+if __name__ == "__main__":
+    main()