secs-gem/README.md

secs-gem

A C++20 SECS-II / HSMS / SECS-I / GEM / GEM 300 runtime, fully containerized. Every behavioural rule lives in YAML; the C++ is the engine that reads them. Implements all of E4, E5, E30, E37 (SS + GS), E39, E40, E42, E84, E87, E90, E94, E116, E120, E148, E157.

License: proprietary — see LICENSE. No use, copy, compile, evaluate, benchmark, or deploy without a written license from the copyright holder. Contact raphael@maenle.net for commercial licensing, evaluation terms, or fab deployment.

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Quick start

Everything runs in Docker — no compiler or build tools on the host.

docker compose run --rm builder         # configure + compile
docker compose run --rm tests           # 445 cases / 2 753 assertions
docker compose up --no-deps server client   # live two-container demo

The two-container demo walks ~24 SECS transactions end-to-end through the data model. Watch the logs interleave.

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Documentation map

File	What it covers
COMPLIANCE.md	Per-capability audit against every SEMI standard implemented
INTEGRATION.md	Vendor-side tutorial: YAML → callbacks → production deploy
ARCHITECTURE.md	How the pieces fit + how to extend (new store / FSM / message)
PROOFS.md	The eight commands that prove the feature-completeness claim
VERIFICATION.md	Test plan for the external validators behind the proof table
BENCHMARKS.md	Performance envelope (throughput, latency, memory) + how to re-run
MES_INTEROP.md	Day-1 punch list to run against your commercial MES (59 test IDs)
SECURITY.md	Concrete configs: nftables, stunnel, minisign, SIEM audit-log schema
GLOSSARY.md	SEMI vocabulary: SVID, CEID, PPID, ALCD, HCACK, T-timers, …
FAQ.md	Common questions and their canonical answers
examples/pvd_tool/	Worked example: a realistic fictional PVD tool, YAML + C++ wiring
LICENSE	Proprietary license terms

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How it's proved

"Feature-complete" is a claim that the code must prove, not the README. On a fresh clone, eight commands demonstrate it: unit + integration suite (445 cases / 2 753 assertions), a live conformance harness (47 wire-level checks), interop against secsgem-py (31 checks) and secs4java8 (55 checks), a 100 000-op soak property test, YAML config validation, Wireshark's HSMS dissector on a recorded pcap (69 frames, 0 malformed), and libFuzzer (ASan + UBSan, 0 crashes). Each command, exit code, and the external-vs-internal breakdown live in PROOFS.md.

CI runs the full suite plus a separate ThreadSanitizer lane on every push to main (Gitea Actions); all 445 cases pass clean under -fsanitize=thread.

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Architecture

The project is spec-as-data: the SEMI behavioural rules live in YAML; the C++ is the engine that reads them.

   ┌──────────────────────────────────────────────────────────────┐
   │ data/                                                        │
   │   messages.yaml          SECS-II message catalog (164 msgs)  │
   │   control_state.yaml     E30 §6.2 control transition table   │
   │   process_job_state.yaml E40 §6 PJ transition table          │
   │   control_job_state.yaml E94 §6 CJ transition table          │
   │   equipment.yaml         SVIDs / DVIDs / ECIDs / CEIDs /     │
   │                          alarms / recipes / commands         │
   └──────────────────────┬───────────────────────────────────────┘
                          │  (codegen at build, YAML loaded at startup)
                          ▼
   ┌──────────────────────────────────────────────────────────────┐
   │ apps/                                                        │
   │   secs_server   passive equipment      secs_bench   perf     │
   │   secs_client   active host            secs_conformance      │
   │   secs_interop_probe                                         │
   └──────────────────────────────────────────────────────────────┘

   secsgem::config   loader.hpp + validate.hpp:
                     YAML -> data model, with multi-error validator
                     surfacing every issue at once (`--validate-config`)
   secsgem::gem      per-standard FSM + per-store persistence
                     (every store accepts v ∈ [1, kVersion] for
                     forward-compatible schema migrations).
                     EquipmentDataModel composes all stores.
                     Router (stream, function) -> handler.
                     Generated messages.hpp covers 164 SxFy.
   secsgem::hsms     Connection (Asio): HSMS-SS + HSMS-GS, all
                     T-timers enforced, auto S9F3/F5/F7/F9/F11.
   secsgem::secsi    SECS-I Protocol FSM (E4): T1/T2/T3/T4 enforced
                     in-FSM, TCP transport for tunnel testing.
   secsgem::secs2    Item (variant), encode/decode, Message,
                     SML parser/printer.
   secsgem::metrics  Prometheus exporter (Registry + HTTP server).

See ARCHITECTURE.md for how to extend it (new store / FSM / message).

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Adding a capability

The point of "spec-as-data" is that adding behaviour almost never requires a C++ change.

New SVID

# data/equipment.yaml
svids:
  - {id: 4, name: ChamberTemp, units: "C", type: U4, value: 25}

New host command with side effects

host_commands:
  - {name: VENT, ack: Accept, emit_ceid: 400, set_alarm: 2}

New state transition

# data/control_state.yaml
transitions:
  - {from: OnlineRemote, on: host_request_offline, to: EquipmentOffline, ack: Accept}

New SECS-II message

# data/messages.yaml
- id: S6F30
  stream: 6
  function: 30
  w: true
  builder: s6f30_something
  parser: parse_s6f30
  body:
    kind: list
    struct_name: Something
    fields:
      - {name: field_a, shape: {kind: scalar, item_type: U4}}
      - {name: field_b, shape: {kind: scalar, item_type: ASCII}}

docker compose run --rm builder regenerates messages.hpp. The typed builder, parser, and struct definition appear automatically. Run --validate-config after every YAML edit.

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Production deployment

See INTEGRATION.md for the full vendor-side tutorial — wiring sensors, plugging FSMs into the tool, persistence layout, monitoring/observability, HSMS-GS multi-MES setup.

See SECURITY.md for concrete nftables / stunnel / minisign / SIEM configs.

See BENCHMARKS.md for the performance envelope — roughly 140 k req/s S1F1, 79 k req/s S1F3 (32 SVIDs), 572 k S6F11/s push, ~450 bytes per PJ+CJ pair. Three orders of magnitude above typical fab tool load.

See MES_INTEROP.md for the day-1 punch list to run against your commercial MES before promoting from staging to a real tool.

Operational runbook (starter)

Incident	First check	Mitigation
HSMS connection flapping	T7 / T6 timer fires in logs	check MES reachability, network MTU
Spool depth growing	host MES connectivity / ACK rate	force-drain via S6F23, escalate to MES
State machine "stuck"	last state-change handler log line	host-issued offline + re-establish
Alarm storm	AlarmRegistry::all() snapshot	check upstream sensor; quench via S5F3
Persistence dir growing unbounded	du -s + file count	sweep terminal-state records
Cross-tool inconsistency	secsgem_tests on canary tool	compare wire trace vs validator

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Deferred follow-ups

Non-shipped pieces that aren't behavioural gaps in the spec coverage — each one is a small, well-defined extension on top of the existing runtime. Listed here so reviewers don't go looking for them in COMPLIANCE.md and find an "out of scope" entry that sounds defensive.

• asio serial_port adapter for SECS-I. The SECS-I FSM (secsi::Protocol) is implemented and tested end-to-end over the asio TCP transport (secsi::TcpTransport). The serial driver — a serial_port mirror of TcpTransport, a few hundred lines — hasn't been written. Most modern GEM equipment runs HSMS, so this has been deprioritised; mirror TcpTransport to add it.

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Build details

The toolchain image (Dockerfile) is Ubuntu 24.04 with g++-13, CMake, Ninja, libasio-dev, libyaml-cpp-dev, and Python 3 for the codegen. doctest is fetched via CMake FetchContent. Build artifacts live in a named Docker volume so the host filesystem stays clean.

Standalone Asio is used in header-only mode (ASIO_STANDALONE). No Boost dependency.

ThreadSanitizer

cmake -S . -B build-tsan -G Ninja -DCMAKE_BUILD_TYPE=Debug -DSECSGEM_TSAN=ON
cmake --build build-tsan
TSAN_OPTIONS=halt_on_error=1 build-tsan/secsgem_tests

Runs as a separate lane in CI. Catches data races in the io_context strand contract documented in INTEGRATION.md §3.

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Interop

interop/ contains the secsgem-py 0.3.0 cross-validation harness — secsgem-py active host driving our C++ passive server, our C++ active host probing secsgem-py's passive equipment, and a raw GEM-300 harness that round-trips S3 (E87), S14 (E94), S16 (E40), S12 (wafer maps) through hand-crafted SecsStreamFunction subclasses. See interop/README.md.