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rUv 9bbe95648c feat: ADR-024 Contrastive CSI Embedding Model — all 7 phases (#52 )

Full implementation of Project AETHER — Contrastive CSI Embedding Model.

## Phases Delivered
1. ProjectionHead (64→128→128) + L2 normalization
2. CsiAugmenter (5 physically-motivated augmentations)
3. InfoNCE contrastive loss + SimCLR pretraining
4. FingerprintIndex (4 index types: env, activity, temporal, person)
5. RVF SEG_EMBED (0x0C) + CLI integration
6. Cross-modal alignment (PoseEncoder + InfoNCE)
7. Deep RuVector: MicroLoRA, EWC++, drift detection, hard-negative mining, SEG_LORA

## Stats
- 276 tests passing (191 lib + 51 bin + 16 rvf + 18 vitals)
- 3,342 additions across 8 files
- Zero unsafe/unwrap/panic/todo stubs
- ~55KB INT8 model for ESP32 edge deployment

Also fixes deprecated GitHub Actions (v3→v4) and adds feat/* branch CI triggers.

Closes #50

2026-03-01 01:44:38 -05:00

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wifi-densepose-config

Configuration management for the WiFi-DensePose pose estimation system.

Overview

wifi-densepose-config provides a unified configuration layer that merges values from environment variables, TOML/YAML files, and CLI overrides into strongly-typed Rust structs. Built on the config, dotenvy, and envy ecosystem from the workspace.

Status: This crate is currently a stub. The intended API surface is documented below.

Planned Features

Multi-source loading -- Merge configuration from .env, TOML files, YAML files, and environment variables with well-defined precedence.
Typed configuration -- Strongly-typed structs for server, signal processing, neural network, hardware, and database settings.
Validation -- Schema validation with human-readable error messages on startup.
Hot reload -- Watch configuration files for changes and notify dependent services.
Profile support -- Named profiles (development, production, testing) with per-profile overrides.
Secret filtering -- Redact sensitive values (API keys, database passwords) in logs and debug output.

Quick Start

// Intended usage (not yet implemented)
use wifi_densepose_config::AppConfig;

fn main() -> anyhow::Result<()> {
    // Loads from env, config.toml, and CLI overrides
    let config = AppConfig::load()?;

    println!("Server bind: {}", config.server.bind_address);
    println!("CSI sample rate: {} Hz", config.signal.sample_rate);
    println!("Model path: {}", config.nn.model_path.display());

    Ok(())
}

Planned Configuration Structure

# config.toml

[server]
bind_address = "0.0.0.0:3000"
websocket_path = "/ws/poses"

[signal]
sample_rate = 100
subcarrier_count = 56
hampel_window = 5

[nn]
model_path = "./models/densepose.rvf"
backend = "ort"        # ort | candle | tch
batch_size = 8

[hardware]
esp32_udp_port = 5005
serial_baud = 921600

[database]
url = "sqlite://data/wifi-densepose.db"
max_connections = 5

Crate	Role
`wifi-densepose-core`	Shared types and traits
`wifi-densepose-api`	REST API (consumer)
`wifi-densepose-db`	Database layer (consumer)
`wifi-densepose-cli`	CLI (consumer)
`wifi-densepose-sensing-server`	Sensing server (consumer)

License

MIT OR Apache-2.0

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