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test(integration): boot freight API in-process across parallel shards
The suite drove a containerized freight API, so every code change needed an image rebuild before a test could see it, and there was no way to attach a debugger. Files also ran strictly in sequence against one shared database, which is the root of the warm-stack gotchas the README documents: stowaway paid bookings climbing back aboard, a short consist on the fifth file. The freight app now boots inside each vitest worker from dist/, and each worker owns a whole shard of the topology - its own database, payment API, gateway mock and broker vhost - so nothing mutable is shared and files run in parallel. Full suite drops from roughly 20 minutes to 196s at 4 shards. - main.ts exports createFreightApp() so the harness applies the same prefix, pipes, filters and interceptors as production instead of replaying them by hand; self-start is guarded by require.main so the Dockerfile CMD still boots - booking-window tick cadence is env-driven (BOOKING_WINDOW_TICK_CRON), */1 in the suite, */10 unchanged in production - prepare-shards.mjs seeds a template database (boot seeders, then the SQL fixtures that depend on them) and clones it per shard; it.mjs re-clones on every run, so each run is hermetic - gateway mock and payment API are generated per shard: the mock keeps modes and orders process-global and 20 of 25 specs reset it in beforeAll, and the inbound CBE bill query has to reach one specific shard's app - poll() samples every 250ms instead of 2000ms, keeping the caller's deadline - authz.it.ts seeds its own invoice; it previously read another spec's leftover and returned early, which silently passed on a pristine database Known: an unlocked MAX(sequence_no)+1 in train-scheduling.service.ts races under concurrent allocation and leaves a short consist, so 1-3 specs fail intermittently. Pre-existing and reproduces at the production tick cadence.
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@@ -91,7 +91,16 @@ export class BookingWindowService implements OnModuleInit {
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// 10-second cadence: every transition is derived from persisted timestamps
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// and applied idempotently, so a finer tick only shrinks the lag between a
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// deadline passing and the phase actually moving (was a full minute).
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@Cron('*/10 * * * * *', { name: 'booking-window-tick', timeZone: BATCH_TIMEZONE })
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//
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// Overridable because that lag is the integration suite's pacing floor: every
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// window phase, wagon allocation and expiry it waits on lands on this tick, so
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// a 10s cadence costs ~5s of pure latency per wait across a few hundred waits.
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// The suite runs it at `*/1 * * * * *`. Read at class-definition time, so the
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// env var must be set before the module is imported.
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@Cron(process.env.BOOKING_WINDOW_TICK_CRON ?? '*/10 * * * * *', {
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name: 'booking-window-tick',
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timeZone: BATCH_TIMEZONE,
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})
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async tick(): Promise<void> {
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if (this.ticking) return;
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this.ticking = true;
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