feat: Complete Rust port of WiFi-DensePose with modular crates
Major changes: - Organized Python v1 implementation into v1/ subdirectory - Created Rust workspace with 9 modular crates: - wifi-densepose-core: Core types, traits, errors - wifi-densepose-signal: CSI processing, phase sanitization, FFT - wifi-densepose-nn: Neural network inference (ONNX/Candle/tch) - wifi-densepose-api: Axum-based REST/WebSocket API - wifi-densepose-db: SQLx database layer - wifi-densepose-config: Configuration management - wifi-densepose-hardware: Hardware abstraction - wifi-densepose-wasm: WebAssembly bindings - wifi-densepose-cli: Command-line interface Documentation: - ADR-001: Workspace structure - ADR-002: Signal processing library selection - ADR-003: Neural network inference strategy - DDD domain model with bounded contexts Testing: - 69 tests passing across all crates - Signal processing: 45 tests - Neural networks: 21 tests - Core: 3 doc tests Performance targets: - 10x faster CSI processing (~0.5ms vs ~5ms) - 5x lower memory usage (~100MB vs ~500MB) - WASM support for browser deployment
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# performance-report
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Generate comprehensive performance reports for swarm operations.
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## Usage
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```bash
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npx claude-flow analysis performance-report [options]
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```
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## Options
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- `--format <type>` - Report format (json, html, markdown)
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- `--include-metrics` - Include detailed metrics
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- `--compare <id>` - Compare with previous swarm
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## Examples
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```bash
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# Generate HTML report
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npx claude-flow analysis performance-report --format html
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# Compare swarms
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npx claude-flow analysis performance-report --compare swarm-123
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# Full metrics report
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npx claude-flow analysis performance-report --include-metrics --format markdown
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```
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