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aab149e215ca868f9a1bb2c00a061a799e1c7a82
4
Commits
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226c6994d3 |
Harvest chaos results only from a mesh that actually started
Teardown runs from a finally, so it also runs after a failed setup, and it was guarded only on the topology and the compose file, both of which are set well before any container exists. A scenario that died bringing its containers up therefore ran the whole harvest anyway: final snapshots, docker logs, the analysis, the assertions and the metadata, all addressing containers by names that are global to the host. What it left behind was not an empty directory an investigator would notice but a full and plausible one, in the recorded case ten node logs and an analysis reporting two promotions and two parent switches, every byte of it from a different scenario's mesh. Gate the harvest on whether the containers ever started, and leave the compose down outside that gate so a partly successful start still gets cleaned up. Record the outcome in a status file in every result directory, naming the run as completed, interrupted, aborted, setup-failed or teardown-failed, alongside the scenario, the seed and the container names it used. With the harvest gated, the presence of an analysis file is now itself proof that the scenario's own mesh existed, and the status file says which of the several ways a run can end applies. A run cut short by a signal keeps the existing exit codes rather than gaining one of its own: what it collected before stopping is real and still worth reporting, the status file records that it was truncated, and every wrapper already reports a Ctrl-C of its own. Log collection never looked at the status of docker logs. It concatenated stdout and stderr unconditionally, so collecting from containers that were not there wrote the daemon's "No such container" reply into each node log and analysed the result as a mesh with no panics, no errors and no sessions, which reads exactly like a clean run and exits zero. Check the return code, and treat a harvest that cannot read every container, or that reads none, as a failed teardown. A teardown that raises now also reports on the same footing as a run that never started, instead of escaping past the exit codes as a bare traceback and being read as a malformed command line. |
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9e63b42bd9 |
Consolidate Docker test harness infrastructure
Replace 4 near-identical per-harness Docker setups with unified shared infrastructure. Net result: -463 lines across 55 files, faster CI (8.5 min vs ~13.5 min), 14 scenarios (down from 21). Unified Docker image (testing/docker/): - Single Dockerfile (trixie-slim) with FIPS_TEST_MODE env var for mode dispatch: default, chaos, sidecar, tor-socks5, tor-directory - Single entrypoint.sh with conditional logic per mode - Replaces 5 Dockerfiles, 3 entrypoints, 4 resolv.conf copies Shared build and libraries (testing/scripts/, testing/lib/): - testing/scripts/build.sh: single build script with macOS zigbuild support, replaces 4 per-harness copies - testing/lib/derive_keys.py: shared key derivation module, replaces 3 copies of derive-keys.py - testing/lib/log_analysis.py: shared log analysis extracted from chaos sim/logs.py, with CLI interface and rekey cutover tracking - testing/lib/wait-converge.sh: shared convergence wait helpers (wait_for_links, wait_for_peers) using fipsctl JSON polling Scenario consolidation: - Remove 7 redundant scenarios: tcp-chain (subsumed by tcp-mesh), tcp-only (subsumed by tcp-mesh), chaos-10 (replaced by churn-mixed --nodes 10), churn-10/churn-20/churn-20-mixed (subsumed by parameterized churn-mixed), cost-mixed-7node (overlaps mixed-technology) - Add churn-mixed scenario with --nodes flag for scale testing - Reduce idle scenario durations: smoke-10 60s→30s, ethernet-only 90s→30s, cost-avoidance 120s→45s, depth-vs-cost 120s→45s, bottleneck-parent 120s→60s, mixed-technology 180s→90s CI updates: - ci-local.sh: unified image build, structured chaos suite entries with per-scenario flags, --skip-build for sidecar - ci.yml: shared binary install + image build step, updated scenario matrix, chaos_flags support for parameterized scenarios - Add tcp-mesh and congestion-stress to CI matrix - Static ping test uses active peer convergence detection instead of hardcoded 5s sleep Chaos infrastructure improvements (from discovery-rework branch): - Pre-built Docker image instead of per-service build at scale - --nodes flag in chaos.sh for runtime topology size override |
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56d39f223b |
Add ECN congestion signaling and transport congestion detection
Implement hop-by-hop ECN congestion signaling through the FMP layer, transport-level congestion detection via kernel drop counters, and chaos harness integration for end-to-end validation. FMP/session ECN plumbing: - Thread ce_flag parsed at link layer through dispatch_link_message, handle_session_datagram, handle_session_payload, and handle_encrypted_session_msg to session delivery - Replace hardcoded false in session-layer record_recv() with actual ce_flag, activating ecn_ce_count tracking in session MMP ECN congestion detection and CE relay: - Add EcnConfig (node.ecn.*) with configurable loss_threshold (5%) and etx_threshold (3.0) for transit congestion detection - Add send_encrypted_link_message_with_ce() that ORs FLAG_CE into FMP header flags; original method delegates with ce_flag=false - Compute outgoing_ce = incoming_ce || local congestion on next-hop link, enabling hop-by-hop CE relay through transit nodes IPv6 ECN-CE marking: - Mark ECN-CE (0b11) in IPv6 Traffic Class on received DataPackets before TUN delivery when FMP CE flag is set - Only marks ECN-capable packets (ECT(0)/ECT(1)); Not-ECT packets unchanged per RFC 3168 Transport congestion abstraction and UDP kernel drop detection: - Add TransportCongestion struct to transport layer for transport- agnostic local congestion indicators - Replace tokio::UdpSocket with AsyncFd<socket2::Socket> using libc::recvmsg() with ancillary data parsing - Enable SO_RXQ_OVFL for kernel receive buffer drop counter on every packet, wiring up previously-stubbed UdpStats.kernel_drops - Add TransportDropState for per-transport delta tracking with 1s tick sampling via sample_transport_congestion() - Extend detect_congestion() with transport kernel drop check alongside MMP loss metrics Congestion monitoring and control: - Add CongestionStats (ce_forwarded, ce_received, congestion_detected, kernel_drop_events) to NodeStats with snapshot serialization - Wire counters into forwarding path, session handler, and transport drop sampling with rate-limited warn logging (5s interval) - Expose congestion data in show_routing control query and ecn_ce_count in show_mmp peer entries - Add congestion counters to fipstop routing tab in two-column layout Chaos harness integration: - Add query_routing(), query_transports(), snapshot_all_congestion() to chaos control module - Add congestion/kernel-drop log analysis in logs module - Add congestion-stress scenario: 10-node tree, 1 Mbps bandwidth, 5-10% netem loss, heavy iperf3 traffic - Add IngressConfig for tc ingress policing with per-peer policer filters simulating upstream bandwidth bottlenecks - Add iperf3 JSON result capture to traffic manager for throughput measurement across scenarios - Add ECN A/B test scenarios (ecn-ab-on/off.yaml) with ingress policing and comparison script - Enable TCP ECN negotiation (tcp_ecn=1 sysctl) in container entrypoint for end-to-end CE propagation Tests: - 10 ECN unit/integration tests: mark_ipv6_ecn_ce variants, CE relay chain (3-node propagation), EcnConfig serde roundtrip - 3 transport drop congestion detection unit tests Documentation: - Update fips-mesh-layer.md: replace outdated CE Echo stub with full ECN Congestion Signaling section covering detection logic, CE relay, IPv6 marking, session tracking, and monitoring counters - Update fips-configuration.md: add node.ecn.* parameter table and ecn block in complete reference YAML - Update fips-transport-layer.md: add Congestion Reporting section with TransportCongestion struct, congestion() trait method, and per-transport status; document AsyncFd/recvmsg/SO_RXQ_OVFL in UDP - Update chaos README: add congestion/ECN scenario docs, ingress traffic control, and iperf3 JSON capture sections - Update README.md: add ECN to features list and "What works today"; update transport and tooling entries |
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66c268a564 |
Add static and stochastic Docker test harnesses
Move examples/docker-network/ to testing/static/ and add testing/chaos/ as a new stochastic simulation harness. testing/static/ — Static 5-node test harness: - Fixed mesh, chain, and mesh-public topologies with docker compose - Manual test scripts (ping, iperf, netem) - Build script, config generation, key derivation testing/chaos/ — Stochastic network simulation: - Python orchestrator generating N-node FIPS meshes with dynamic network conditions, driven by reproducible YAML scenarios - Topology generation: random geometric, Erdos-Renyi, or chain graphs with BFS connectivity guarantee - Per-link netem: HTB classful qdiscs with u32 filters for per-peer impairment (delay, loss, jitter), stochastic mutation across configurable policy profiles - Per-link bandwidth pacing: HTB rate limiting with configurable tiers (1/10/100/1000 mbps) randomly assigned per edge - Link flaps: tc netem 100% loss with graph connectivity protection - Node churn: docker stop/start with netem re-application on restart, shared down_nodes tracking across all managers - Traffic generation: random iperf3 sessions between node pairs - Down-node guards: all docker exec callers check container liveness, auto-detect crashed containers via is_container_running() safety net - Log collection and post-run analysis (panics, errors, sessions, MMP metrics, tree reconvergence) - chaos.sh wrapper with --seed, --duration, --verbose, --list options - Four scenarios: smoke-10, chaos-10, churn-10, churn-20 |