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Ettore Di Giacinto
e5ad2e18c4
Two things made every end-to-end result on this branch unreliable. make test-e2e-cluster did not rebuild ./local-ai. It only checked that a file by that name existed, so an edit that was never rebuilt ran the whole suite against an older build while reporting on the working tree, and a missing binary skipped every spec and exited 0 with "Test Suite Passed". The target now depends on a new e2e-binary target, which is the plain go build CI already used rather than make build, since that one also builds the React UI this suite never touches. The harness carries the other half: localAIBinary now FAILS, locally as well as under CI, when the binary is older than the newest non-test Go source in the tree, which covers a run started with LOCALAI_E2E_BINARY or by invoking ginkgo directly. Test files are excluded from that scan because they compile into the ginkgo suite and never into local-ai. The CI job drops its own build step and the env var so that one place owns the build and it happens after protogen-go. test-e2e-distributed was audited for the same hole and has none: ginkgo compiles that suite from the working tree on every run and it execs no prebuilt binary. build-mock-backend already rebuilt unconditionally. "Worker tunnel under load" bounded the worst probe inside the bulk transfer window against the worst probe under the empty-load window. A max over n samples is a biased estimator when the two n differ, and here they always do: the bulk window is by construction longer and draws several times as many chances at an unrelated scheduling outlier. Anything loading the box widens that gap, so the spec reddened on what else was running: 255ms against a 161ms budget with make lint beside it, 57ms alone. It now bounds the probe COMPLETION RATE instead, which is the statistic a serialised session actually moves and a mean over dozens of samples in both terms, so a uniform slowdown cancels in the ratio. Measured with make lint running: 0.97 direct and 0.60 relayed against a floor of 0.125. Assisted-by: Claude Opus 5 [claude-code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io>