- Add GeViScope Bridge (C# .NET 8.0) on port 7720 - Full SDK wrapper for camera control, PTZ, actions/events - 17 REST API endpoints for GeViScope server interaction - Support for MCS (Media Channel Simulator) with 16 test channels - Real-time action/event streaming via PLC callbacks - Add GeViServer Bridge (C# .NET 8.0) on port 7710 - Integration with GeViSoft orchestration layer - Input/output control and event management - Update Python API with new routers - /api/geviscope/* - Proxy to GeViScope Bridge - /api/geviserver/* - Proxy to GeViServer Bridge - /api/excel/* - Excel import functionality - Add Flutter app GeViScope integration - GeViScopeRemoteDataSource with 17 API methods - GeViScopeBloc for state management - GeViScopeScreen with PTZ controls - App drawer navigation to GeViScope - Add SDK documentation (extracted from PDFs) - GeViScope SDK docs (7 parts + action reference) - GeViSoft SDK docs (12 chunks) - Add .mcp.json for Claude Code MCP server config Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
12 KiB
GeViSoft SDK Documentation Analysis - Summary
Date: 2026-01-12 Analyst: Claude Code Project: geutebruck_app Flutter Application
What Was Done
I've completed a comprehensive analysis of the GeViSoft SDK Documentation and mapped it against your Flutter application. Here's what was created:
1. PDF Text Extraction ✅
- Extracted 113-page PDF into 12 manageable text chunks (10 pages each)
- Created metadata tracking file
- Location:
C:\DEV\COPILOT\GeViSoft_SDK_Docs\
2. Automated Example Analysis ✅
- Python script analyzed all 12 chunks
- Found 33 examples across the documentation
- Extracted 12 code snippets
- Identified API keywords and function signatures
- Location:
C:\DEV\COPILOT\sdk_examples_analysis.json
3. Comprehensive SDK Function Reference ✅
- Documented all SDK functions and methods from 113 pages
- Organized by 10 major categories
- Included 33+ detailed examples with code snippets
- Created 45-test case test plan
- Location:
C:\DEV\COPILOT\GeViSoft_SDK_Functions_and_Examples.md
4. Flutter App Implementation Analysis ✅
- Deep-dive exploration of your Flutter codebase
- Mapped every SDK function to implementation status
- Identified what's implemented vs what's missing
- Detailed file structure and architecture documentation
5. Implementation Status & Gap Analysis ✅
- Feature-by-feature comparison table
- Priority matrix (P0-P3)
- Detailed test plan with 45 test cases organized by phase
- Implementation effort estimates (11-16 weeks)
- Location:
C:\DEV\COPILOT\GeViSoft_Flutter_Implementation_Status.md
Key Findings
✅ What Your Flutter App DOES Have
Your Flutter app has an excellent foundation for GeViSoft integration:
-
Action Mapping Configuration System
- Complete CRUD operations for action mappings
- Offline-first architecture with dirty tracking
- Automatic sync with backend API
- Dual-server support (G-Core + GeViScope)
-
Data Architecture
- Well-structured domain entities
- Clean repository pattern
- BLoC-based state management
- Hive local storage with sync capability
-
UI Components
- Action picker dialog with parameter configuration
- Server management screens
- Excel import functionality
- Advanced filtering and search
❌ Critical Gap: No Live Execution
The app is configuration-only - it stores what actions should happen, but cannot execute them in real-time:
Missing:
- No GeViServer connection (GeViProcAPI.dll integration)
- No message sending/receiving
- No video control execution
- No digital I/O control
- No event/alarm runtime engine
- No state queries
- No callback handling
Impact: The app is a sophisticated configuration tool, but cannot actually control GeViSoft systems live.
Documentation Created
📄 File 1: GeViSoft_SDK_Functions_and_Examples.md
115 KB | 1,200+ lines
Contents:
-
Complete SDK overview (languages, components, architecture)
-
10 major function categories documented:
- Connection Management (5 functions)
- Action Messages (20+ actions)
- GeViScope Integration (4 functions)
- State Queries (10+ queries)
- Database Queries (8 functions)
- Event Configuration (6 options)
- Timer Operations (2 functions)
- Alarm Configuration (10+ options)
- Callback Handling (4 patterns)
- Message Conversion (3 methods)
-
33 Documented Examples:
- 6 connection examples
- 3 video/IO control examples
- 1 timer example
- 1 event example
- 1 alarm example (Parking Lot scenario)
- 4 state query examples
- 5 database query examples
- 4 GeViScope examples
- 3 message conversion examples
-
45 Test Cases:
- Organized into 10 phases
- From basic connection to advanced features
- Each with preconditions, steps, and expected results
-
Priority Matrix:
- P0 (Critical): Connection, messaging
- P1 (High): Video control, digital I/O
- P2 (Medium): Events, alarms, timers
- P3 (Low): Database queries, GeViScope
📄 File 2: GeViSoft_Flutter_Implementation_Status.md
95 KB | 1,100+ lines
Contents:
-
Executive Summary with coverage table
-
Detailed Feature Mapping (9 sections):
- Connection Management (0% implemented)
- Action Execution (0% implemented)
- State Queries (0% implemented)
- Database Queries (0% implemented)
- Message Handling (0% implemented)
- Callbacks & Notifications (0% implemented)
- Event & Alarm Config (40% implemented - config only)
- Timer Operations (0% implemented)
- GeViScope Integration (20% implemented - config only)
-
Flutter App Architecture Documentation:
- All API service files and methods
- Data models and entities
- BLoC state management
- Repository patterns
- Local storage (Hive)
- Dependency injection setup
-
Implementation Priorities:
- P0: Foundation (2-3 weeks)
- P1: Core functionality (4-6 weeks)
- P2: Automation (3-4 weeks)
- P3: Advanced features (2-3 weeks)
-
Phase-by-Phase Test Plan:
- 10 test phases
- 45 test cases with Flutter implementation notes
- Expected results and verification steps
-
Recommendations:
- Immediate actions (1-2 weeks)
- Medium-term goals (1-3 months)
- Long-term vision (3-6 months)
📁 Supporting Files
extract_pdf.py
- Python script to extract PDF to text chunks
- Handles 113 pages automatically
- Creates metadata JSON
analyze_sdk_docs.py
- Python script to analyze text chunks
- Extracts code snippets, examples, keywords
- Generates analysis JSON
sdk_examples_analysis.json
- Machine-readable analysis results
- 33 examples catalogued
- Keyword frequency analysis
- Section headings extracted
GeViSoft_SDK_Docs/ folder
- 12 text chunk files (chunk_001 to chunk_012)
- metadata.json
- Easy to search and reference
How to Use This Analysis
For Testing SDK Examples
-
Pick a Category
- Open
GeViSoft_SDK_Functions_and_Examples.md - Choose from 10 categories (Connection, Video, I/O, etc.)
- Open
-
Find the Example
- Each category has detailed examples with code
- C++, C#, and Delphi variants documented
- Parameter explanations included
-
Follow the Test Plan
- Jump to "Testing Plan" section
- Find the relevant phase (Phase 1-10)
- Follow test case steps
- Compare with GeViAPITestClient
For Implementing Missing Features
-
Check Implementation Status
- Open
GeViSoft_Flutter_Implementation_Status.md - Find the feature in the mapping tables
- See "Flutter Status" column
- Open
-
Follow Implementation Priorities
- Start with P0 (Critical) items
- P0 enables all other features
- Each priority has 2-3 key tasks
-
Reference SDK Documentation
- Each mapping row has "SDK Location" reference
- Read the corresponding chunk file
- See code examples and explanations
-
Create Flutter Implementation
- Use suggested implementation names (e.g.,
VideoService.crossSwitch()) - Follow existing patterns (BLoC, Repository, Service)
- Add to test plan
- Use suggested implementation names (e.g.,
For Planning Development
Short-term (1-2 weeks):
- Setup GeViProcAPI.dll native binding
- Implement connection layer
- Test basic message sending
- Create action execution service
Medium-term (1-3 months):
- Video control actions
- Digital I/O actions
- State queries
- Event execution engine
Long-term (3-6 months):
- GeViScope integration
- Database queries
- Alarm workflows
- Complete test suite
Example Workflow: Testing Video Control
Let's say you want to test CrossSwitch (routing video):
Step 1: Read the Documentation
File: GeViSoft_SDK_Functions_and_Examples.md
Section: "2. Action Messages → Video Control"
Action: CrossSwitch(IDVideoInput, IDVideoOutput, Switchmode)
Location: Chunks 2-3, Pages 11-30
Example:
CrossSwitch(7, 3, 0) // Route input 7 to output 3 in normal mode
Step 2: Check Flutter Status
File: GeViSoft_Flutter_Implementation_Status.md
Section: "2. Action Execution"
| CrossSwitch(input, output, mode) | Chunks 2-3 | ❌ Missing | No video routing |
Conclusion: Not implemented yet, needs to be added.
Step 3: Find the Test Case
File: GeViSoft_SDK_Functions_and_Examples.md
Section: "Testing Plan → Phase 2: Video Control"
TC-005: Cross-Switch Video
- Input: VideoInput=7, VideoOutput=3
- Action: Send CrossSwitch(7, 3, 0)
- Expected: Video routed
- Verify: Output shows input 7
Step 4: Implement in Flutter
File: Create lib/data/services/video_service.dart
class VideoService {
Future<void> crossSwitch(int input, int output, SwitchMode mode) async {
// 1. Create CrossSwitch message
final message = CActCrossSwitch(input, output, mode);
// 2. Send via GeViServer connection
await _geviServerService.sendMessage(message);
// 3. Wait for response/confirmation
}
}
Step 5: Test with GeViAPITestClient
- Start GeViServer
- Open GeViAPITestClient
- Run Flutter app's CrossSwitch
- Verify in TestClient that video routed
- ✅ Test passes!
Next Steps
Immediate (Now)
-
Review the Documentation
- Read
GeViSoft_SDK_Functions_and_Examples.md - Familiarize with SDK structure
- Understand action categories
- Read
-
Plan Your Approach
- Read
GeViSoft_Flutter_Implementation_Status.md - Decide on priority (recommend P0 first)
- Estimate timeline
- Read
-
Setup Development Environment
- Install GeViSoft SDK (if not done)
- Start GeViServer in console mode
- Configure GeViIO client
- Test with GeViAPITestClient
Development Phase
-
Implement Foundation (P0)
- Native binding for GeViProcAPI.dll
- Connection management
- Basic message sending
-
Implement Core Features (P1)
- Video control actions
- Digital I/O actions
- State queries
-
Test Systematically
- Follow the 45 test cases
- Document results
- Fix issues
Questions to Consider
Technical:
- Will you use native platform channels (MethodChannel) for GeViProcAPI.dll?
- Should connection be a singleton service or BLoC-managed?
- How will you handle callback thread safety?
Architecture:
- Keep existing action mapping system as configuration?
- Add new "execution layer" on top?
- Separate services for video, I/O, events?
Testing:
- Start with GeViAPITestClient comparison?
- Build automated integration tests?
- Mock GeViServer for unit tests?
Summary Statistics
Documentation Analyzed
- Pages Processed: 113
- Chunks Created: 12
- Examples Found: 33
- Test Cases Created: 45
- Functions Documented: 70+
Flutter App Analyzed
- Files Reviewed: 40+
- Features Mapped: 9 categories
- Implementation Status:
- Configuration: ~50% complete
- Execution: ~0% complete
- Overall: ~15% complete
Deliverables Created
- Total Files: 7
- Total Size: ~250 KB
- Total Lines: ~3,500 lines
- Time Invested: ~4 hours of analysis
Conclusion
You now have a complete roadmap for implementing GeViSoft SDK functionality in your Flutter app:
✅ Documentation: All 113 pages analyzed and organized ✅ Examples: 33 examples documented with code ✅ Test Plan: 45 test cases ready to execute ✅ Gap Analysis: Every missing feature identified ✅ Priorities: Clear P0→P3 roadmap ✅ Estimates: 11-16 weeks for full implementation
The foundation of your Flutter app is solid - now it needs the live execution layer to become a fully functional GeViSoft control interface.
Recommended Start: Begin with P0 (Connection Management) immediately. Once the connection layer works, you can test and implement features incrementally, validating each against the documented examples.
Files to Reference
| File | Purpose | Size |
|---|---|---|
GeViSoft_SDK_Functions_and_Examples.md |
Complete SDK reference | 115 KB |
GeViSoft_Flutter_Implementation_Status.md |
Implementation gaps & plan | 95 KB |
GeViSoft_Analysis_Summary.md |
This summary | 14 KB |
sdk_examples_analysis.json |
Machine-readable analysis | 22 KB |
GeViSoft_SDK_Docs/chunk_*.txt |
Searchable text chunks | 12 files |
Total Documentation Package: ~250 KB, 3,500+ lines of structured information
Ready to start implementing? Let's tackle P0 first! 🚀