Files
fips/testing/mesh-lab/README.md
T
Johnathan Corgan 1cc069f1a2 Gather the host-side IPv6 plane into the ipv6tun module
The TUN adapter, the .fips DNS responder, ICMPv6 generation and TCP MSS
clamping are the host-side IPv6 plane, but the code was split between
src/upper and inline bodies in the node's session handler and lifecycle.
Gather it into one module, src/ipv6tun, and reduce its calls into the
rest of the crate to a small explicit set. This prepares the TUN adapter
to run later as a separate daemon over the native API, and gives
embedders one place to find the host-side surface. Behaviour is
unchanged apart from log target names.

- Rename src/upper to src/ipv6tun. A `pub use ipv6tun as upper;` alias
  keeps every crate::upper:: and fips::upper:: path resolving, so no
  consumer has to change.
- Move hosts.rs whole to src/hosts.rs, a top-level public module: the
  hosts file also serves peer display names, the peer ACL and fipsctl,
  so it is not host-side only. ipv6tun re-exports it for the old path.
- Move the DNS socket helpers (dual-stack bind, IPV6_RECVPKTINFO,
  interface index lookup) from Node into ipv6tun::dns, unchanged.
  Node::mesh_ifindex, which reads the live TUN device name, becomes
  Handles::mesh_ifindex.
- Move ICMPv6 Destination Unreachable and Packet Too Big sending into
  ipv6tun::icmp behind IcmpContext, which borrows the TUN channel, our
  address and the Packet Too Big rate limiter for one use. Packet Too
  Big is still rate limited and Destination Unreachable still is not.
  The discovery lookup timeout hands its queued packets over as one
  no-route report.
- Split handle_tun_outbound. The host-side half, in ipv6tun::outbound,
  validates the packet, makes both Packet Too Big decisions and sends
  the ICMPv6 replies, reaching the mesh through a small Mesh trait Node
  implements. The mesh-side half, Node::send_outbound, stays with the
  pending queue. The checks run in the same order with the same
  thresholds, and Node::handle_tun_outbound remains the entry point.
- Move the TUN and DNS child start and stop bodies into
  ipv6tun::lifecycle, and gather their nine supervisor fields and the
  node's TUN device name into one Handles struct the supervisor holds.
  The supervisor arms, their order and the child-exit reporting are
  unchanged. A TUN still counts as up when it has a device
  name, so an app-owned TUN produces no TUN teardown, and DNS counts as
  up while its task runs. The node passes a new peer-alias base to the
  running responder through Handles::publish_aliases. Node::tun_name,
  tun_tx, dns_local_addr and enable_app_owned_tun keep their behaviour;
  tests install a TUN sender through a test-only Node::install_tun.

Tracing targets follow module paths, so lines from the moved code now
log under fips::ipv6tun::* and fips::hosts instead of fips::upper::*,
fips::node::lifecycle and fips::node::handlers::session. Update the
RUST_LOG example in the MTU diagnosis guide and the test harness
filters that relied on the old targets, and note the rename in the
changelog.
2026-10-05 16:27:45 +00:00

198 lines
8.9 KiB
Markdown

# FIPS mesh-reliability lab
<!-- markdownlint-disable MD013 -->
Local reproduction infrastructure for chronic CI integration-test
flakiness. The goal: turn "happens occasionally on GitHub Actions" into
"reproduces deterministically under controlled local pressure," then fix
on bedrock instead of bumping timeouts.
## Quick start
Prerequisites — same as `testing/ci-local.sh`:
- Docker daemon reachable.
- `fips-test:latest` and `fips-test-app:latest` Docker images built. The
easiest way to (re)build them is to run `testing/ci-local.sh
--build-only` once after a fresh checkout or after touching the
daemon source — the lab itself does not rebuild between reps.
- Python 3 with `pyyaml` and `jinja2` installed for the chaos suites
(`pip3 install --user pyyaml jinja2`).
- `stress-ng` on the host for pressure profiles other than `idle`
(`sudo apt-get install stress-ng`).
Simplest invocation — single rekey rep on the idle profile (no CPU
pressure), output under a timestamped subdir of `runs/`:
```bash
bash testing/mesh-lab/run-loop.sh rekey
```
Twenty reps under the github-runner-equivalent pressure profile (the
canonical Phase 1 acceptance-gate shape for the rekey Phase 5
flake class):
```bash
bash testing/mesh-lab/run-loop.sh rekey --reps 20 --profile github-runner-equivalent
```
The harness writes per-rep diagnostics to
`<runs-base>/runs/<timestamp>/rep-NN/` (raw logs, container state,
exit codes) and a per-rep `summary.json` plus an aggregated
`<runs-base>/runs/<timestamp>/summary.json` at the end. Where
`<runs-base>` lands is controlled by the `FIPS_MESH_LAB_RUNS_DIR`
environment variable (see below); by default it is the in-tree
`testing/mesh-lab/` directory. Raw artifacts are gitignored — they're
big and per-developer. The `summary.json` shape is compact so triage
doesn't require holding the raw log stream.
## Suites supported
Initial target set:
- `rekey`, `rekey-accept-off`, `rekey-outbound-only` — rekey-suite
Phase 5 post-second-rekey connectivity flake class.
- `nat-lan` — two-node NAT-traversal handshake-completion flake class.
- `bloom-storm` — chaos scenario; covers the `bloom_send_rate`
per-node ceiling exceedance class (single node spiking above the
ceiling while peers stay well under). Note that
chaos uses its own python sim runner (not docker-compose), so the
mesh-lab `compose-resource-limits.yml` and `compose-trace.yml`
overrides do not apply to this suite; per-rep evidence comes from
the captured `test-output.log` and the parsed `signature.json`
(which extracts the `bloom_send_rate` and `min_parent_switches`
assertion outcomes plus per-node delta distribution).
Adding more is straightforward — see the `dispatch_suite` function in
[run-loop.sh](run-loop.sh).
## Pressure profiles
Defined in [pressure-profiles.sh](pressure-profiles.sh):
- `idle` — no pressure. Baseline; should produce zero failures on a
healthy mesh.
- `light` — placeholder. Will be calibrated.
- `github-runner-equivalent` — placeholder. Will be calibrated to
approximate the headroom an `ubuntu-latest` GitHub runner has while
also juggling four parallel package-build workflows (estimate:
2-core / ~7 GiB total, so 1 stress-ng worker + memory ballast). The
initial calibration target: this profile must reproduce the rekey
Phase 5 flake class at ≥20% rate over 20 reps with mechanism-match.
- `heavy` — placeholder. Worst-case pressure for stall-finding work.
## Environment-variable knobs
The harness reads optional environment variables that shape what each
rep does, set them in the invoking shell:
- **`FIPS_MESH_LAB_NETEM`** — netem argument string (e.g.
`"delay 10ms 5ms 25% loss 1%"`). When set, the harness runs
`tc qdisc add dev eth0 root netem <args>` inside each fips-node
container after `compose up`. Bridge-level qdisc on the docker
network does *not* shape inter-container traffic (Linux bridges
forward port-to-port without packets traversing the bridge
interface's egress qdisc), so per-container egress is the correct
injection point.
- **`FIPS_MESH_LAB_TRACE`** — when set to any non-empty value, the
harness layers a suite-specific trace-RUST_LOG compose override
on top of the base stack. Module sets are per-suite:
- rekey / rekey-accept-off / rekey-outbound-only — `rekey`,
`handshake`, `forwarding`, `session`, `encrypted`, `mmp`
(via `compose-trace.yml`).
- nat-lan — `fips::nostr`, `transport::udp`,
`node::lifecycle`, `ipv6tun::lifecycle`, `handlers::handshake`,
`dataplane::forwarding`
(via `compose-trace-nat.yml`, picked up by
`testing/nat/scripts/nat-test.sh` through the
`FIPS_NAT_EXTRA_COMPOSE` env-var hook).
- bloom-storm — no compose override applies; chaos uses its own
python sim runner.
Use only when capturing primary failure-moment evidence for
mechanism investigation — log volume increases substantially.
Without this knob, daemon logs only capture state transitions and
not per-datagram forwarding decisions, which makes evidence
collection for routing-state stalls effectively impossible.
- **`FIPS_BLOOM_STORM_CPUSET`** — comma-separated CPU set for the
bloom-storm dispatch's container-pinning sidecar (default
`0,1`). The sidecar polls for `fips-*` containers as the chaos
sim spawns them and applies `docker update --cpuset-cpus <set>`
to each, mimicking the 2-core constraint of a GHA
`ubuntu-latest` runner. Set to a wider set (e.g. `0,1,2,3`) to
relax, or to the empty string to disable the sidecar entirely.
Only applies to the `bloom-storm` suite; other suites ignore it.
- **`FIPS_NAT_LAN_CPUSET`** — comma-separated CPU set for the
nat-lan dispatch's container-pinning sidecar (default `0,1`).
Same shape as `FIPS_BLOOM_STORM_CPUSET`, but the sidecar polls
for `fips-nat-lan-*` containers and applies the cpuset as the
compose-up creates them. The mesh-lab
`compose-resource-limits.yml` overlay is rekey-family
service-name-specific (services `rekey-*` / `rekey-accept-off-*`
/ `rekey-outbound-only-*`), so it does NOT constrain the nat-lan
containers; the sidecar fills that gap. Only applies to the
`nat-lan` suite; other suites ignore it.
- **`FIPS_MESH_LAB_TRACE_TREE`** — when set to any non-empty value,
layers `compose-trace-tree.yml` over the rekey-family compose stack
to bump `RUST_LOG` to trace level on `fips::node::tree`,
`fips::tree`, `fips::node::handlers::mmp`, and
`fips::node::handlers::handshake`. Distinct from
`FIPS_MESH_LAB_TRACE` (rekey/forwarding/session/encrypted at trace);
targeted at tree-partition race investigation during multi-peer
startup. Mutually exclusive with `FIPS_MESH_LAB_TRACE` in practice —
both env vars layer their overlay, but the second one's per-service
environment replaces the first's. Only applies to the rekey-family
suites.
- **`FIPS_MESH_LAB_NO_RESOURCE_LIMITS`** — when set to any non-empty
value, omits the `compose-resource-limits.yml` overlay for rekey-family
runs. Default behaviour keeps the overlay engaged so rekey-family lab
reps stay pressure-matched to a GHA `ubuntu-latest` runner. Set this
for unconstrained characterization where the goal is to surface a race
or scheduling artefact rather than reproduce CI pressure. Only applies
to the rekey-family suites; other suites ignore it.
- **`FIPS_MESH_LAB_RUNS_DIR`** — root directory for harness output
(the `runs/<timestamp>/` tree). When unset, the harness falls back
to an in-tree path under `testing/mesh-lab/` and prints a warning
to stderr naming the variable and the fallback location. Set this
to a path outside the source tree (e.g. `/var/tmp/fips-mesh-lab`
or a path on a separate disk) to keep gigabyte-scale per-rep
artefacts out of the checkout.
Example:
```bash
FIPS_MESH_LAB_TRACE=1 \
FIPS_MESH_LAB_RUNS_DIR=/var/tmp/fips-mesh-lab \
bash testing/mesh-lab/run-loop.sh rekey-accept-off \
--reps 20 --profile github-runner-equivalent
```
## Recipes
`recipes/<flake-id>.yaml` files are commit-pinned reproduction recipes
the harness consumes. Each recipe declares the source SHA, the suite,
the pressure profile, the rep count, and the expected mechanism-match
rate, so a future operator can confirm "yes the lab still reproduces
this flake at the documented rate" with one command. None exist yet —
they're authored as concrete reproductions surface.
## How this differs from `testing/ci-local.sh`
`ci-local.sh` runs each suite exactly once in sequence (chaos
scenarios in parallel up to a job slot count), produces a pass/fail
matrix, and is the canonical "did anything regress" gate. The
mesh-lab runs the *same* per-suite test scripts (it does not
reimplement them) but in a loop, with deliberate host pressure
applied, and with rich per-rep diagnostic capture. They share the
Docker images and the test scripts.
When in doubt, debug a single suite via `ci-local.sh --only <suite>`
first to confirm the suite is healthy on idle, then graduate to the
mesh-lab when you want to chase a flake.