fips/testing/README.md

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)

nat/ -- NAT Traversal Lab

Real Docker NAT traversal tests for the Nostr/STUN bootstrap path, using router containers with iptables-based NAT, a local Nostr relay, and a local STUN responder.

Scenario	Description
cone	Two NATed peers establish a UDP traversal path
symmetric	UDP traversal fails under symmetric NAT, TCP fallback wins
lan	Peers on the same LAN prefer local addresses over reflexive

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.

interop/ -- Mixed-Version Interop Harness

On-demand harness that runs an N-node full mesh from a node-spec where each node can run a different build of the FIPS daemon, then attributes every FMP/FSP/rekey/connectivity failure to a specific version pair (same-version vs MIXED). Used to catch interop regressions between builds, not as a per-commit CI gate; not part of ci-local.sh.

mesh-lab/ -- Mesh Reliability Lab

On-demand harness that runs a chosen integration suite N times under a configurable host-pressure profile (idle / light / github-runner- equivalent / heavy via stress-ng), per-container netem impairment, and optional trace-level RUST_LOG, capturing per-rep diagnostics and a mechanism-match summary across the run. Used for statistical reliability characterization of known flake classes under calibrated stress, not as a per-commit gate; not part of ci-local.sh.

Running CI locally (ci-local.sh)

ci-local.sh runs the full local CI pipeline — build, clippy, unit tests, and the integration suites (including the chaos scenarios) — mirroring the GitHub ci.yml integration matrix. Run ./ci-local.sh --help for the full option list and --list for the available suites. --check-parity verifies the local suite set matches the GitHub matrix (see check-ci-parity.sh).

Per-run isolation and the FIPS_CI_RUN_ID override

Every invocation derives a run id and scopes all of its Docker resources to it, so two simultaneous runs on the same host (for example, one per git worktree, or an operator testing by hand while CI is in flight) never collide:

• Compose projects are named fipsci_<run-id>_<suite>, so container, network, and volume names are all prefixed per run.
• Build images are tagged fips-test:<run-id> and fips-test-app:<run-id> (exported as FIPS_TEST_IMAGE / FIPS_TEST_APP_IMAGE for the compose consumers).
• Each parallel chaos child gets a unique, non-overlapping /24 in 10.30.x (via the sim --subnet override). 10.30.x sits outside Docker's default address pool and the fixed-subnet suites' 172.x ranges, so neither a sibling chaos child nor an auto-assigned network can swallow a pinned subnet.

By default the run id is <short-git-sha>-<random> — the SHA portion records what code a container is testing, the random suffix keeps simultaneous runs of the same SHA disjoint. Override it for a reproducible, attach-by-name debug session:

FIPS_CI_RUN_ID=mydebug ./ci-local.sh --only static-mesh
# containers are named fipsci_mydebug_static_fips-node-a, etc.

Preemption-safety and exit codes

ci-local.sh is safe to cancel mid-run. A signal trap tears down every compose project the run started (not just the current suite) and reaps any in-flight parallel chaos children, bounded by a timeout so a stuck compose down cannot wedge the trap. Exit codes distinguish a cancelled run from a failing one:

Code	Meaning
0	all stages passed
1	one or more stages failed
130	interrupted by SIGINT — cancelled, not a failure
143	terminated by SIGTERM — cancelled, not a failure

A preempting CI worker (the push-triggered, CI-gated build pipeline that kills an in-flight run when a newer same-branch tip arrives) maps 130/143 → cancelled (discard, do not record a failing commit), 0 → green, any other non-zero → red.

Cleaning up leftover resources

Every CI-created container, network, and volume carries the label com.corganlabs.fips-ci=1. If a run is hard-killed (SIGKILL, OOM, crash) and leaves resources behind, reap them with:

./ci-local.sh --reap        # or: ./ci-cleanup.sh

ci-cleanup.sh force-removes everything bearing the CI label or a fipsci_ compose-project prefix; it is safe to run when there is nothing to reap and safe to run repeatedly. Pass --project-prefix to scope the sweep to a single run.