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Janady13/missionmatch / internal/integration/mag_reranker_integration_test.go

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FieldRecorded value
Source typeGitHub source
Original recordJanady13/missionmatch / internal/integration/mag_reranker_integration_test.go
DateNot specified in source
RepositoryJanady13/missionmatch
Revision720d47fae476b0d38477ae4401697d372b1ea2bc
Branchfeature/opportunity-to-outcome
Path or archive memberinternal/integration/mag_reranker_integration_test.go
Original SHA-256cff96a0981e00da85e9a2ca5fa2bc8b7aae9069511ec1f7f66ed6fc3daf8737d
Git blob SHA437bd416764615628c73858f3161e3c2583ca35f
Reading-copy SHA-256cff96a0981e00da85e9a2ca5fa2bc8b7aae9069511ec1f7f66ed6fc3daf8737d

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Original recordBranch or archiveRevision / identifierOriginal location
Janady13/missionmatch / internal/integration/mag_reranker_integration_test.gofeature/opportunity-to-outcome720d47fae476b0d38477ae4401697d372b1ea2bcOpen original
Janady13/missionmatch / internal/integration/mag_reranker_integration_test.gocollision-deconfliction4ee5a09972608ed89f8377c6665542d5f450f0a6Open original
Janady13/missionmatch / internal/integration/mag_reranker_integration_test.gomaster1e9249840a4302ec82e123b9c9cb6f75badea3e4Open original
Janady13/missionmatch / internal/integration/mag_reranker_integration_test.gomag-substrateb82c7100a492dec67dfd1eda6b3f53def859be35Open original
Janady13/missionmatch / internal/integration/mag_reranker_integration_test.gotime-to-fill-survivalb66e1e505863d4f17741a4b9ede73509e45bd6c6Open original
Janady13/missionmatch / internal/integration/mag_reranker_integration_test.gopresentation-readinesseb574acaa29d71ce4d0f852572e87c275c79fdb7Open original
Janady13/missionmatch / internal/integration/mag_reranker_integration_test.govendor-intelligencefe9796a19c261951d3f2565206c0c1b5ac294465Open original
Janady13/missionmatch / internal/integration/mag_reranker_integration_test.gophase2-connectorse038d4c687aec16f8bd9bc4d907eea14d91f8704Open original
Janady13/missionmatch / internal/integration/mag_reranker_integration_test.gofeature/aioe-upgrade2178e7298d0e5d9af83afa12402fd587f0ba6ed8Open original
Janady13/missionmatch / internal/integration/mag_reranker_integration_test.gocapture-readinessbae6af7cb2997e819174a9e9cfff5e16067a1975Open original

Recovered source transcript

//go:build integration // MAG display order re ranker loop integration. Proves at runtime against a REAL Postgres and the migrated 0037 // prior only re ranker what the unit tests cannot: the offline TRAINER fits a pairwise learning to rank // challenger from decided slate_members (approve/reject) over the frozen engine sub scores, the EVALUATOR // compares its held out ranking accuracy to the prior only engine order champion AND runs the four fifths no // adverse impact check recomputed under the challenger ranking, a human promotion flips the champion, and the // learned weights then REORDER a slate that the engine order and the human decisions genuinely disagree on, // with the frozen engine score untouched (the re ranker emits an ordering, never a candidate score, and a human // still approves every member). // // The seeded signal is honest: approved candidates are high location and low clearance, rejected candidates are // the reverse. The engine weights clearance (0.25) above location (0.10), so the engine order puts the rejected // candidates first; the humans approved the opposite, so a correct re ranker learns to weight location above // clearance and flips the order. NONE of the features is a protected attribute. // // Run: go test -tags=integration ./internal/integration/ -run MAGReranker -v // Env: MM_APP_DSN, MM_MIGRATOR_DSN, MM_COMPLIANCE_DSN. package integration import ( "context" "testing" "github.com/google/uuid" "github.com/missionworkforce/missionmatch/internal/modules/eeo" "github.com/missionworkforce/missionmatch/internal/platform/magstore" "github.com/missionworkforce/missionmatch/internal/platform/tenant" ) // memberSpec is one seeded slate member: its approval and its six frozen sub score features in RerankFeatureOrder // (clearance, skills, certs, customer, experience, location). type memberSpec struct { approved bool features [6]float64 } // seedDecidedSlate seeds one slate with decided members carrying the six frozen sub scores and the approve or // reject decision, via the BYPASSRLS migrator (cross tenant seed). total_score and band are the engine weighted // sum of the sub scores, so the prior only re ranker (the engine weights) orders by total exactly. func seedDecidedSlate(t *testing.T, org uuid.UUID, specs []memberSpec) { t.Helper() ctx := context.Background() req := seedRequirementWithAgency(t, org, "RERANK "+uuid.NewString()[:8]) slateID := uuid.New() if _, err := migrator.Exec(ctx, `INSERT INTO slates (id, organization_id, requirement_id, name) VALUES ($1,$2,$3,$4)`, slateID, org, req, "reranker seed slate"); err != nil { t.Fatalf("seed slate: %v", err) } for _, s := range specs { cand := seedCandidate(t, org, "secret", "active", true) total := 0.25*s.features[0] + 0.25*s.features[1] + 0.15*s.features[2] + 0.15*s.features[3] + 0.10*s.features[4] + 0.10*s.features[5] band := "red" if total >= 90 { band = "green" } else if total >= 75 { band = "yellow" } decision := "rejected" if s.approved { decision = "approved" } if _, err := migrator.Exec(ctx, `INSERT INTO slate_members (organization_id, slate_id, candidate_id, total_score, band, clearance_score, skills_score, certs_score, customer_score, experience_score, location_score, explanation, trace, decision, decided_at) VALUES ($1,$2,$3,$4,$5,$6,$7,$8,$9,$10,$11,'seed','[]',$12, now())`, org, slateID, cand.ID, total, band, s.features[0], s.features[1], s.features[2], s.features[3], s.features[4], s.features[5], decision); err != nil { t.Fatalf("seed slate member: %v", err) } } } // TestMAGRerankerTrainsEvaluatesPromotesAndReorders drives the whole re ranker loop end to end on staging. func TestMAGRerankerTrainsEvaluatesPromotesAndReorders(t *testing.T) { modelKey := magstore.RerankModelKey const priorOnlyVersion = 1 ctx := context.Background() // Force the champion back to the prior only engine order v1 so the before and after comparison is // deterministic, and restore it on cleanup so it never leaks a learned re ranker into other tests. if _, err := magstore.PromoteChampion(ctx, migrator, modelKey, priorOnlyVersion); err != nil { t.Fatalf("reset reranker champion to v%d: %v", priorOnlyVersion, err) } t.Cleanup(func() { if _, cerr := magstore.PromoteChampion(ctx, migrator, modelKey, priorOnlyVersion); cerr != nil { t.Logf("cleanup: could not restore prior only reranker champion v%d: %v", priorOnlyVersion, cerr) } }) // Seed slates with the honest signal: approved are high location (100) low clearance (0), rejected are the // reverse; the middle four sub scores are fixed at 50. The engine weights clearance above location, so the // engine order puts rejected first; a correct re ranker flips it. approved := [6]float64{0, 50, 50, 50, 50, 100} // clearance 0, location 100 rejected := [6]float64{100, 50, 50, 50, 50, 0} // clearance 100, location 0 org := seedOrg(t) for i := 0; i < 10; i++ { seedDecidedSlate(t, org, []memberSpec{ {approved: true, features: approved}, {approved: true, features: approved}, {approved: false, features: rejected}, {approved: false, features: rejected}, }) } // The prior only champion (the engine weights) orders a test slate by total: the rejected profile (higher // total, because clearance outweighs location) ranks ABOVE the approved profile. champV1, err := magstore.LoadModel(ctx, migrator, modelKey, priorOnlyVersion) if err != nil { t.Fatalf("load prior only champion: %v", err) } v1Coeffs := magstore.RerankCoeffs(champV1) testSlate := []magstore.SlateMember{ {CandidateID: "approved", Features: approved[:], Approved: true}, {CandidateID: "rejected", Features: rejected[:], Approved: false}, } engineOrder := magstore.OrderMembers(v1Coeffs, testSlate) if engineOrder[0].CandidateID != "rejected" { t.Fatalf("the engine order must rank the higher total (rejected profile) first, got %s", engineOrder[0].CandidateID) } // TRAIN: fit a pairwise re ranker challenger. min-pairs 20 so the seeded pairs clear the floor. res, err := magstore.TrainReranker(ctx, migrator, modelKey, 1.0, 20, false) if err != nil { t.Fatalf("train reranker: %v", err) } if res.Skipped { t.Fatalf("the fit must not be skipped with %d pairs: %s", res.Pairs, res.SkipReason) } if res.Version <= priorOnlyVersion { t.Fatalf("the challenger version %d must be newer than the prior champion", res.Version) } // The learned location weight (index 5) must exceed the learned clearance weight (index 0): the human signal // preferred location over clearance, the opposite of the engine. if res.Coeffs[5] <= res.Coeffs[0] { t.Fatalf("the learned re ranker must weight location above clearance, got location %.4f clearance %.4f", res.Coeffs[5], res.Coeffs[0]) } t.Logf("challenger v%d learned weights: clearance %.4f location %.4f over %d pairs", res.Version, res.Coeffs[0], res.Coeffs[5], res.Pairs) // The trainer must NOT flip champion. stillV1, err := magstore.ChampionVersion(ctx, migrator, modelKey) if err != nil { t.Fatalf("champion after train: %v", err) } if stillV1 != priorOnlyVersion { t.Fatalf("the trainer must not flip champion, moved to v%d", stillV1) } // EVALUATE ranking quality: the challenger must order approved above rejected far better than the engine // order champion (which orders them backwards, accuracy near 0). chal, err := magstore.LoadModel(ctx, migrator, modelKey, res.Version) if err != nil { t.Fatalf("load challenger: %v", err) } quality, err := magstore.EvaluateRerankerQuality(ctx, migrator, v1Coeffs, magstore.RerankCoeffs(chal), 0.30) if err != nil { t.Fatalf("evaluate reranker: %v", err) } // The learned challenger must clear the ranking quality gate (at least as good as the engine order within // tolerance). Aggregate held out accuracy is dominated by the large pooled slate history on staging, so the // robust proofs of learning are the weight direction (above) and the reorder (below), not the aggregate // delta; the gate guards against a genuine regression. t.Logf("held out %d slates, pairwise accuracy champion %.4f vs challenger %.4f", quality.HeldOutGroups, quality.ChampAccuracy, quality.ChalAccuracy) if !quality.Pass { t.Errorf("the learned challenger must clear the ranking quality gate, got %+v", quality) } // The FAIRNESS gate must be callable through the compliance pool. With no seeded demographics it recomputes // clean (no group flagged), exercising the ranking recomputation path end to end. if compliance != nil { groups, gerr := magstore.ReadSlateGroups(ctx, migrator) if gerr != nil { t.Fatalf("read slate groups: %v", gerr) } orgGroups := magstore.GroupsByOrg(groups)[org.String()] sel := magstore.CandidateSelection(magstore.RerankCoeffs(chal), orgGroups) svc := eeo.NewService(tenant.New(compliance)) section, ferr := svc.AdverseImpactForSelection(tenant.WithOrg(ctx, org.String()), sel) if ferr != nil { t.Fatalf("the ranking fairness recomputation must be callable: %v", ferr) } if r := section.MinImpactRatio(); r < 0.80 { t.Errorf("with no seeded demographics the recomputation must be clean, got min ratio %v", r) } } // PROMOTE: the human governance action flips the champion. from, err := magstore.PromoteChampion(ctx, migrator, modelKey, res.Version) if err != nil { t.Fatalf("promote reranker: %v", err) } if from != priorOnlyVersion { t.Errorf("the promotion must replace the prior champion v%d, replaced v%d", priorOnlyVersion, from) } // REORDER: the learned champion now orders the SAME test slate the other way, the approved profile first, // proving the display order moved off the engine order toward the human signal. champLearned, err := magstore.LoadModel(ctx, migrator, modelKey, res.Version) if err != nil { t.Fatalf("load learned champion: %v", err) } learnedOrder := magstore.OrderMembers(magstore.RerankCoeffs(champLearned), testSlate) if learnedOrder[0].CandidateID != "approved" { t.Fatalf("the learned re ranker must reorder the approved profile first, got %s", learnedOrder[0].CandidateID) } if learnedOrder[0].CandidateID == engineOrder[0].CandidateID { t.Fatalf("the display order must change from the engine order, both put %s first", engineOrder[0].CandidateID) } t.Logf("engine order first=%s, learned order first=%s (the re ranker flipped the display order)", engineOrder[0].CandidateID, learnedOrder[0].CandidateID) }

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