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fix(phase22a): correct check count and inputHash in artifacts
Co-authored-by: Cursor <cursoragent@cursor.com>
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.planning/phases/phase-22a-fixture-test-infrastructure/22A-PLAN.md

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- `pipeline.id = 'pipeline_proj_parking_lot_parking_detector'`
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- `modelArtifact.id = 'model_onnx_yolov8n_v1'` (ONNX runtime)
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- `inferenceJob.id = 'job_2026_04_28_2036'` (SUCCEEDED)
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- `evaluation.inputHash = '0c59dbe9c7062999'`
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- `evaluation.inputHash = '04c479cae541f764'` (computed from canonical JSON of seeded report payload)
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- 3 predictions, 3 MANUAL annotations, 4 label classes
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### B. Fixture Infrastructure Harness (`scripts/harness/phase22a-fixture-infrastructure-check.ts`)
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19-point read-only DB integrity check. Key checks:
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18-point read-only DB integrity check. Key checks:
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1. Project `proj_parking_lot` exists
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2. Dataset exists
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3. Dataset version exists and is LOCKED

.planning/phases/phase-22a-fixture-test-infrastructure/22A-SUMMARY.md

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### Fixture Infrastructure Harness
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- **Location:** `scripts/harness/phase22a-fixture-infrastructure-check.ts`
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- **Checks:** 19 read-only DB integrity assertions
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- **Checks:** 18 read-only DB integrity assertions
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- **Strict mode:** Exits 1 if DATABASE_URL absent or any check fails
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- **Phases verified:** Project existence, LOCKED dataset version, asset links, MANUAL annotations, pipeline/model references, SUCCEEDED job, predictions, evaluation report consistency, stale job check, Phase 20D/20E/20F equivalence
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