Johnathan CorganandGitHub
cbc78091ab
Drop the `tui`, `ble`, and `gateway` cargo features and replace them with platform cfg gates. Plain `cargo build` now produces every subsystem appropriate for the target platform with no feature flags required. Motivation: - `default = ["tui", "ble"]` broke `cargo build` on macOS and Windows because `ble` pulled in `bluer` (BlueZ, Linux-only). Every non-Linux packager needed `--no-default-features`. - The feature flags on `ble` and `gateway` were redundant with their platform-gated deps (`bluer`, `rustables`). The parallel gating was inconsistent and error-prone. - `tui` feature protected against a ratatui binary-size concern that no longer applies in 2026. Cargo.toml: - Remove `tui`, `ble`, `gateway` features; `default = []`. - Promote `ratatui` to a non-optional top-level dependency. - Move `rustables` from top-level optional into the Linux target block, non-optional. - Split `bluer` into its own target block with `cfg(all(target_os = "linux", not(target_env = "musl")))` — BlueZ isn't available on musl router targets and `libdbus-sys` doesn't cross-compile to musl without pkg-config sysroot setup. - Drop `required-features` from the `fipstop` and `fips-gateway` `[[bin]]` entries. build.rs: - Emit a `bluer_available` custom cfg when `target_os == "linux"` and `target_env != "musl"`, for use in place of the verbose full predicate in source cfg gates. Source: - Replace every `#[cfg(feature = "gateway")]` with `#[cfg(target_os = "linux")]`. Gateway code works on both glibc and musl Linux (rustables is fine on musl). - Replace every `#[cfg(feature = "ble")]` with `#[cfg(bluer_available)]`. BLE-specific code (BluerIo module, bluer type conversions, BLE transport instance creation, resolve_ble_addr) is excluded on musl and non-Linux. Generic `BleAddr`, `BleIo` trait, `MockBleIo`, and `BleTransport<I>` still compile on all targets. - `src/bin/fips-gateway.rs`: always compiled, but `main()` is gated to Linux. Non-Linux stub exits 1 with a diagnostic. Existing non-Linux packaging scripts don't ship it, so the stub binary sits unused. Packaging and CI: - Drop `--features` and `--no-default-features` flags from every packaging script and workflow. Defaults now match each platform's capabilities. - AUR `fips-git` automatically aligns with stable `PKGBUILD` (both build with defaults). Verified: `cargo build --release` with no flags produces all four binaries on glibc Linux; all unit and integration tests pass across Linux/macOS/Windows/OpenWrt (musl) in CI.
FIPS Testing
Integration and simulation test harnesses for FIPS, using Docker containers running the full protocol stack.
Test Harnesses
static/ -- Static Docker Network
Fixed topologies with manual scripts for building, config generation, connectivity tests (ping, iperf), and network impairment (netem). Useful for deterministic debugging and validating specific topology configurations.
| Topology | Nodes | Transport | Description |
|---|---|---|---|
| mesh | 5 | UDP | Sparse mesh, 6 links, multi-hop |
| chain | 5 | UDP | Linear chain, max 4-hop paths |
| mesh-public | 5+1 | UDP | Mesh with external public node |
| tcp-chain | 3 | TCP | Linear chain over TCP (port 8443) |
| rekey | 5 | UDP | Rekey integration test topology |
tor/ -- Tor Transport Integration
End-to-end Tor transport testing with Docker containers running real Tor daemons. Requires internet access for Tor bootstrapping.
| Scenario | Description |
|---|---|
| socks5-outbound | Outbound SOCKS5 connections through Tor to clearnet peer |
| directory-mode | Inbound via HiddenServiceDir onion service (co-located) |
chaos/ -- Stochastic Simulation
Automated network testing with configurable node counts, topology algorithms (random geometric, Erdos-Renyi, chain, explicit), and fault injection (netem mutation, link flaps, traffic generation, node churn). 20 scenarios covering general stress testing, cost-based parent selection, mixed link technologies (fiber/Bluetooth/WiFi), transport-specific validation (UDP, TCP, Ethernet), and ECN/congestion testing. Scenarios are defined in YAML and executed via a Python harness that manages the full lifecycle: topology generation, Docker orchestration, fault scheduling, log collection, and analysis.