Files
multi-agent-mux/tests
GodopuandClaude Opus 5 a4b7b45e13 feat(issue-5): persistent MQTT publisher prototype and benchmark harness
Splits publish_event.main into three pieces with no behaviour change:

  prepare_event   load the job, consume the seq, build the signed payload,
                  decide retain. The seq is burned here, before any transport
                  runs, so a failed publish can never leave a number a replayed
                  packet could reuse.
  record_outcome  audit record, registry event log and status sync -- all three
                  best effort, all three regardless of the publish result. That
                  is exactly the contract G-1/G-2/G-4 pin down, now in one place.
  main            parse, prepare, publish with retry, record.

publisher.py holds the two transports behind one interface. OneShotPublisher is
the current behaviour. PersistentPublisher keeps a single connection and lets
paho reconnect underneath, raising on an unacknowledged publish so the caller's
retry policy stays the only thing deciding attempt counts. It refuses an event
for a different broker rather than publishing to the wrong place.

Nothing in production uses the persistent path: the CLI and shell helpers exit
after one publish. The consumer is the phase 2a engine, which pays the CONNACK
cost on every event today -- this job's own started event took ~12.5s because
of one CONNACK timeout plus reconnect.

bench.py measures both arms. The fake transport is deterministic and is what
the tests assert on; the real-broker arm is informational, since the PoC
default is a public broker whose latency is not ours to control.

Verified: N publishes cost N connections one-shot and 1 persistent; the two
transports leave field-for-field identical registry and audit records including
the HMAC signature and retain flag; an unacknowledged publish retries on the
same connection and records published=false; a second broker is refused. No
test opens a socket.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UrDNJkHmm18uu7n7JwV5Qd
2026-09-06 15:44:33 +09:00
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