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