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test(missions): add KB pipeline coverage for matcher scoring paths#14075

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ayuxsh009:test/missions-matcher-kb-pipeline-coverage
May 16, 2026
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test(missions): add KB pipeline coverage for matcher scoring paths#14075
kubestellar-hive[bot] merged 1 commit into
kubestellar:mainfrom
ayuxsh009:test/missions-matcher-kb-pipeline-coverage

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PR Description

📌 Fixes

No issue — standalone test coverage contribution


📝 Summary of Changes

  • Adds 28 unit tests for three scoring paths in matchMissionsToCluster() that had zero coverage in the existing matcher.test.ts

Changes Made

  • Added web/src/lib/missions/__tests__/matcher-kb-pipeline.test.ts with 28 tests covering:
    • RESOURCE_TO_PROJECTS transitive expansion — prometheus-server, istio-pilot, argocd-server, cert-manager-webhook,
      keda-operator, velero correctly expand into ecosystem keywords so related missions are surfaced
    • ISSUE_TO_CATEGORIES scoring — cluster issues (CrashLoopBackOff, OOMKilled, privileged container, pending, host network) map to fix categories and boost missions with matching tags; covers case-insensitive matching, null/undefined safety, and
      multi-issue accumulation
    • Engagement metadata + matchPercent normalisation — reaction/comment boost tiers, top scorer always gets matchPercent: 100,
      proportional scaling verified

Checklist

  • I used a coding agent (Claude Code, Copilot, Gemini, or Codex) to generate/review this code
  • I have reviewed the project's contribution guidelines
  • New cards target console-marketplace, not this repo
  • I have written unit tests for the changes (if applicable)
  • I have tested the changes locally and ensured they work as expected
  • All commits are signed with DCO (git commit -s)

Screenshots or Logs (if applicable)

Test Files 1 passed (1)
Tests 28 passed (28)
Duration 1.49s


👀 Reviewer Notes

These tests target the KB pipeline scoring logic used by the AI agent to rank runbooks against live cluster state — three paths that
existed in matcher.ts but had no test coverage. Aligned with the LFX 2026 Term 2 "AI-driven operational KB and mission control
testing" scope.

  matcher scoring paths

Signed-off-by: ayuxsh009 <1raj.aayush@gmail.com>
Copilot AI review requested due to automatic review settings May 16, 2026 08:48
@kubestellar-prow kubestellar-prow Bot added the dco-signoff: yes Indicates the PR's author has signed the DCO. label May 16, 2026
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[APPROVALNOTIFIER] This PR is NOT APPROVED

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👋 Hey @ayuxsh009 — thanks for opening this PR!

🤖 This project is developed exclusively using AI coding assistants.

Please do not attempt to code anything for this project manually.
All contributions should be authored using an AI coding tool such as:

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@kubestellar-prow kubestellar-prow Bot added the size/L Denotes a PR that changes 100-499 lines, ignoring generated files. label May 16, 2026
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Pull request overview

Adds a dedicated Vitest suite to increase unit test coverage for the mission matcher’s KB ranking/scoring behavior in matchMissionsToCluster(), focusing on resource→keyword expansion, issue-category scoring, and engagement/matchPercent normalization.

Changes:

  • Added a new test file covering RESOURCE_TO_PROJECTS keyword expansion behavior for several common operators/components.
  • Added tests exercising ISSUE_TO_CATEGORIES category-boost scoring (including case-insensitive matching and multi-issue inputs).
  • Added tests for engagement-based scoring boosts and matchPercent normalization behavior.
Comments suppressed due to low confidence (2)

web/src/lib/missions/tests/matcher-kb-pipeline.test.ts:212

  • This test’s inline comment implies that adding a second issue can increase the score via additional tag/category matches, but matchMissionsToCluster breaks after the first mission-keyword match against issueCategories, so additional categories won’t stack once a match is found. Please adjust the comment (or the assertion) to reflect the actual non-stacking behavior.
  it('accumulates score from multiple simultaneous cluster issues', () => {
    // Two issues → two category sets → potentially more category boosts
    const missions = [makeMission({ tags: ['troubleshoot', 'memory'], title: 'Debug OOM crashloop' })]
    const singleIssue = { name: 'test', issues: ['CrashLoopBackOff'] }
    const dualIssue = { name: 'test', issues: ['CrashLoopBackOff', 'Pod was OOMKilled'] }

    const single = matchMissionsToCluster(missions, singleIssue)
    const dual = matchMissionsToCluster(missions, dualIssue)
    // Dual issues expand the category set → additional memory/limits tags can match
    expect(dual[0].score).toBeGreaterThanOrEqual(single[0].score)
  })

web/src/lib/missions/tests/matcher-kb-pipeline.test.ts:267

  • These tests repeatedly use double type assertions (e.g., metadata cast to MissionExport['metadata'] even though reactions/comments aren’t part of that type, and per-element null/undefined casts for issues). This makes the test harder to read and can mask typing drift; consider a small local helper/type (e.g., MissionExport & { metadata: { reactions?: number; comments?: number } }) and casting the whole issues array once (unknown as string[]) to keep intent clear.
  it('skips null or undefined issue entries without throwing', () => {
    const missions = [makeMission({ tags: ['troubleshoot'] })]
    const cluster = { name: 'test', issues: [null as unknown as string, undefined as unknown as string, 'CrashLoopBackOff'] }
    expect(() => matchMissionsToCluster(missions, cluster)).not.toThrow()
    const results = matchMissionsToCluster(missions, cluster)
    expect(results[0].score).toBeGreaterThan(1)
  })
})

// ── 3. Engagement metadata + matchPercent normalisation ──────────────────

describe('matchMissionsToCluster — engagement scoring and matchPercent', () => {
  it('boosts missions with >= 20 reactions by 10 points', () => {
    const highEngagement = makeMission({ title: 'Popular mission', metadata: { reactions: 20, comments: 0 } as unknown as MissionExport['metadata'] })
    const noEngagement = makeMission({ title: 'Obscure mission' })
    const results = matchMissionsToCluster([highEngagement, noEngagement], null)
    const popular = results.find(r => r.mission.title === 'Popular mission')!
    const obscure = results.find(r => r.mission.title === 'Obscure mission')!
    expect(popular.score).toBe(10) // 10 engagement (minimum floor of 1 only applies when score is 0)
    expect(obscure.score).toBe(1)  // baseline only — score stayed 0, floor applied
  })

  it('gives partial boost (5 pts) for missions with 5–19 reactions', () => {
    const moderate = makeMission({ title: 'Moderate', metadata: { reactions: 5, comments: 0 } as unknown as MissionExport['metadata'] })
    const results = matchMissionsToCluster([moderate], null)
    expect(results[0].score).toBe(5) // 5 reactions boost (floor not applied — score > 0)
  })

  it('does not boost missions with fewer than 5 reactions', () => {
    const low = makeMission({ title: 'Low', metadata: { reactions: 4, comments: 0 } as unknown as MissionExport['metadata'] })
    const results = matchMissionsToCluster([low], null)
    expect(results[0].score).toBe(1) // baseline only
  })

  it('boosts missions with >= 10 comments by 5 additional points', () => {
    const active = makeMission({ title: 'Active', metadata: { reactions: 0, comments: 10 } as unknown as MissionExport['metadata'] })
    const results = matchMissionsToCluster([active], null)
    expect(results[0].score).toBe(5) // 5 comments boost (floor not applied — score > 0)
  })

  it('stacks reactions and comments boosts independently', () => {
    const viral = makeMission({ title: 'Viral', metadata: { reactions: 20, comments: 15 } as unknown as MissionExport['metadata'] })
    const results = matchMissionsToCluster([viral], null)
    expect(results[0].score).toBe(15) // 10 reactions + 5 comments (no floor, score already > 0)
Comment on lines +4 to +6
* Tests for three scoring paths in matchMissionsToCluster that are untested
* in matcher.test.ts:
*
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@copilot apply changes based on this feedback

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LGTM — tests are comprehensive and well-structured. All assertions are specific. No issues found.

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@kubestellar-hive[bot]: changing LGTM is restricted to collaborators

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In response to this:

LGTM — tests are comprehensive and well-structured. All assertions are specific. No issues found.

Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository.

@kubestellar-hive kubestellar-hive Bot merged commit 58de917 into kubestellar:main May 16, 2026
38 of 40 checks passed
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❌ Post-Merge Verification: failed

Commit: 58de91730106ee90a0443c0286d642925ab18ca3
Specs run: smoke.spec.ts
Report: https://github.com/kubestellar/console/actions/runs/25958666788

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