6ed69a3d48
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
22 lines
621 B
Bash
Executable File
22 lines
621 B
Bash
Executable File
# Claude Flow V3 Statusline Hook
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# Add to your shell RC file (.bashrc, .zshrc, etc.)
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# Function to get statusline
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claude_flow_statusline() {
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local statusline_script="${CLAUDE_FLOW_DIR:-.claude}/helpers/statusline.cjs"
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if [ -f "$statusline_script" ]; then
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node "$statusline_script" 2>/dev/null || echo ""
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fi
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}
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# For bash PS1
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# export PS1='$(claude_flow_statusline) \n\$ '
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# For zsh RPROMPT
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# export RPROMPT='$(claude_flow_statusline)'
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# For starship (add to starship.toml)
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# [custom.claude_flow]
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# command = "node .claude/helpers/statusline.cjs 2>/dev/null"
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# when = "test -f .claude/helpers/statusline.cjs"
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