- Fix Viz3D exports to include flow visualization functions
- Export setFlowLayerVisible, setDwellLayerVisible, setCorridorLayerVisible
- Export setFlowTimeFilter, setFlowData, setDwellData, setCorridorData
- Remove duplicate setDwellLayerVisible function definition
This completes the crowd flow visualization feature that was
already implemented in the backend (flow.go) and frontend
(crowdflow.js, viz3d.js) but had missing exports in the Viz3D module.
Implements comprehensive pre-deployment simulator for WiFi CSI-based
positioning that allows users to predict detection quality before
purchasing hardware.
Components:
- Virtual space definition with rooms, walls, and material properties
- Virtual nodes with configurable roles (TX/RX/TX_RX/PASSIVE/IDLE)
- Synthetic walkers (random walk, path-following, node-to-node)
- GDOP overlay for coverage quality visualization
- Signal propagation model with path loss and wall attenuation
- Fresnel zone accumulation for blob detection
- REST API endpoints for simulator control
- Dashboard integration with space/node/walker management
- Coverage optimization recommendations
The simulator produces realistic synthetic CSI data matching
real-world conditions by using the same propagation models and
localization algorithms as the live system.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add GET /api/simulator/gdop/heatmap endpoint in both simulator handlers
- Fix viz3d.js to call correct endpoint (GET instead of POST)
- Update response format handling to parse gdop_map and grid_dimensions
- Generate colors from GDOP values using quality thresholds
- Position overlay correctly in 3D scene
The GDOP overlay now visualizes accuracy metrics across the virtual space
with color-coded quality indicators (green=excellent, yellow=good, orange=fair, red=poor).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Implemented Component 17 of the Spaxel plan - a pre-deployment simulator
that allows users to define virtual spaces, place virtual nodes, and
simulate walkers to predict detection quality before purchasing hardware.
Key features:
- Virtual space definition with rooms and wall segments
- Virtual node placement with corner positioning suggestions
- Synthetic walkers (random walk and path-following modes)
- GDOP (Geometric Dilution of Precision) computation for coverage quality
- Two-ray RF propagation model (direct + first-order reflection)
- Wall penetration loss by material type (drywall, brick, concrete, glass, metal)
- Fresnel zone computation and zone decay
- Shopping list generation with hardware recommendations
- REST API endpoints for simulation control and results
Files added:
- internal/simulator/space.go - Virtual space and room definitions
- internal/simulator/node.go - Virtual node management
- internal/simulator/walker.go - Synthetic walker simulation
- internal/simulator/gdop.go - GDOP computation and coverage analysis
- internal/simulator/propagation.go - RF propagation model
- internal/simulator/engine.go - Simulation engine (bug fixes)
- internal/simulator/handler.go - HTTP API handlers
- internal/api/simulator.go - REST API endpoints
- internal/simulator/simulator_test.go - Comprehensive tests
- internal/simulator/space_test.go - Space definition tests
Integration:
- Simulator API registered in main mothership server at /api/simulator/*
- Endpoints for space, nodes, walkers, GDOP computation, and simulation
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
