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>

geutebruck-api/.claude/commands/speckit.plan.md

@@ -0,0 +1,81 @@
+---
+description: Execute the implementation planning workflow using the plan template to generate design artifacts.
+---
+
+## User Input
+
+```text
+$ARGUMENTS
+```
+
+You **MUST** consider the user input before proceeding (if not empty).
+
+## Outline
+
+1. **Setup**: Run `.specify/scripts/powershell/setup-plan.ps1 -Json` from repo root and parse JSON for FEATURE_SPEC, IMPL_PLAN, SPECS_DIR, BRANCH. For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'\''m Groot' (or double-quote if possible: "I'm Groot").
+
+2. **Load context**: Read FEATURE_SPEC and `.specify/memory/constitution.md`. Load IMPL_PLAN template (already copied).
+
+3. **Execute plan workflow**: Follow the structure in IMPL_PLAN template to:
+   - Fill Technical Context (mark unknowns as "NEEDS CLARIFICATION")
+   - Fill Constitution Check section from constitution
+   - Evaluate gates (ERROR if violations unjustified)
+   - Phase 0: Generate research.md (resolve all NEEDS CLARIFICATION)
+   - Phase 1: Generate data-model.md, contracts/, quickstart.md
+   - Phase 1: Update agent context by running the agent script
+   - Re-evaluate Constitution Check post-design
+
+4. **Stop and report**: Command ends after Phase 2 planning. Report branch, IMPL_PLAN path, and generated artifacts.
+
+## Phases
+
+### Phase 0: Outline & Research
+
+1. **Extract unknowns from Technical Context** above:
+   - For each NEEDS CLARIFICATION → research task
+   - For each dependency → best practices task
+   - For each integration → patterns task
+
+2. **Generate and dispatch research agents**:
+
+   ```text
+   For each unknown in Technical Context:
+     Task: "Research {unknown} for {feature context}"
+   For each technology choice:
+     Task: "Find best practices for {tech} in {domain}"
+   ```
+
+3. **Consolidate findings** in `research.md` using format:
+   - Decision: [what was chosen]
+   - Rationale: [why chosen]
+   - Alternatives considered: [what else evaluated]
+
+**Output**: research.md with all NEEDS CLARIFICATION resolved
+
+### Phase 1: Design & Contracts
+
+**Prerequisites:** `research.md` complete
+
+1. **Extract entities from feature spec** → `data-model.md`:
+   - Entity name, fields, relationships
+   - Validation rules from requirements
+   - State transitions if applicable
+
+2. **Generate API contracts** from functional requirements:
+   - For each user action → endpoint
+   - Use standard REST/GraphQL patterns
+   - Output OpenAPI/GraphQL schema to `/contracts/`
+
+3. **Agent context update**:
+   - Run `.specify/scripts/powershell/update-agent-context.ps1 -AgentType claude`
+   - These scripts detect which AI agent is in use
+   - Update the appropriate agent-specific context file
+   - Add only new technology from current plan
+   - Preserve manual additions between markers
+
+**Output**: data-model.md, /contracts/*, quickstart.md, agent-specific file
+
+## Key rules
+
+- Use absolute paths
+- ERROR on gate failures or unresolved clarifications