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What type of PR is this?

/kind cleanup
/kind documentation

What this PR does / why we need it:

Test Coverage Overview

Test Category Status Coverage Test Count
Storage Package Unit Tests ✅ Complete PVC URI parsing, validation, edge cases 50+ test cases
Model Agent Tests ✅ Complete PVC existence, binding, error handling 30+ test cases
BaseModel Controller Tests ✅ Complete Job creation, validation, reconciliation 25+ test cases
E2E Tests ✅ Complete Full workflow, access modes, error cases 15+ test scenarios

Detailed Test Coverage

Storage Package (pkg/utils/storage/storage_test.go)

Test Type Coverage Examples
Valid PVC URI Parsing ✅ Complete pvc://my-pvc/models, pvc://my-pvc/path/to/models
Invalid URI Formats ✅ Complete Empty URIs, missing components, malformed paths
Storage Type Detection ✅ Complete PVC vs S3 vs HTTP storage identification
Edge Cases ✅ Complete Trailing slashes, special characters, Unicode

Model Agent (pkg/modelagent/gopher_test.go)

Test Type Coverage Scenarios
PVC Exists & Bound ✅ Complete Successful PVC access and metadata extraction
PVC Not Found ✅ Complete Error handling for non-existent PVC
PVC Not Bound ✅ Complete Pending PVC status handling
Invalid PVC URI ✅ Complete Malformed URI format validation
Status Updates ✅ Complete MetadataPending, Failed state transitions
Kubernetes Interactions ✅ Complete Mock client interactions and error responses

BaseModel Controller (pkg/controller/v1beta1/basemodel/controller_test.go)

Test Type Coverage Validation
Metadata Job Creation ✅ Complete Job creation for PVC storage scenarios
Job Spec Validation ✅ Complete Correct image, args, volumes, mounts
Job Monitoring ✅ Complete Success/failure status tracking
PVC Validation ✅ Complete Pre-job creation PVC existence checks
Idempotency ✅ Complete Duplicate job creation prevention
Reconciliation Loops ✅ Complete Controller reconciliation behavior

E2E Tests (tests/e2e/pvc_storage_test.go)

Test Type Coverage End-to-End Scenarios
Complete Workflow ✅ Complete PVC creation → population → BaseModel → InferenceService
Access Modes ✅ Complete RWO/RWX behavior and scheduling constraints
Error Cases ✅ Complete Non-existent PVC, unbound PVC, invalid subpaths
Cross-namespace ✅ Complete PVC access across different namespaces
Resource Quotas ✅ Complete Storage quota exceeded scenarios
Volume Mounts ✅ Complete PVC mounting verification in pods

Key Features Tested

PVC Storage URI Support

  • Format: pvc://<pvc-name>/<subpath> and pvc://<namespace>:<pvc-name>/<subpath>
  • Validation: Proper URI parsing and component extraction
  • Error Handling: Invalid formats, missing components, malformed paths

Kubernetes Integration

  • PVC Status Monitoring: Bound, pending, and failed states
  • Namespace Handling: Same-namespace and cross-namespace PVC access
  • Resource Management: Storage quotas and capacity constraints

Metadata Extraction

  • Job Creation: Automatic metadata extraction job creation
  • File Processing: config.json parsing and model metadata extraction
  • Status Updates: Real-time status updates during extraction process

Error Resilience

  • Graceful Degradation: Proper error handling without system crashes
  • User Feedback: Clear error messages and status reporting
  • Recovery: Automatic retry mechanisms and reconciliation

Test Quality Metrics

Metric Value Description
Code Coverage High Comprehensive coverage of PVC storage functionality
Error Scenarios Complete All major error cases covered and tested
Edge Cases Extensive Boundary conditions and unusual scenarios
Integration Full End-to-end workflow validation
Performance Validated Timeout handling and resource constraints

Test Category Status Coverage Test Count
Performance Tests ⏳ Pending PVC benchmarking, scale/load handling In progress

Which issue(s) this PR fixes:

Part of #167

Special notes for your reviewer:

NA

Does this PR introduce a user-facing change?


@abhinav-1305
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please review - @slin1237

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Summary of Changes

Hello @abhinav-1305, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the test suite for Persistent Volume Claim (PVC) storage functionality. It introduces a wide array of unit and end-to-end tests to ensure robust handling of PVC URIs, metadata extraction from PVC-mounted models, and proper Kubernetes resource management for BaseModel and InferenceService objects utilizing PVCs. The added tests cover valid scenarios, edge cases, and various error conditions to improve the overall reliability of PVC-backed model serving.

Highlights

  • Comprehensive PVC Storage Test Coverage: This PR introduces extensive unit and end-to-end test cases for PVC (Persistent Volume Claim) storage functionality, ensuring robust handling across various components.
  • Storage Package Unit Tests: Added detailed unit tests for PVC URI parsing, validation, and edge cases within the pkg/utils/storage package, covering various subpath formats, special characters, and invalid URI scenarios.
  • Model Agent Unit Tests: Enhanced unit tests for the model_metadata_agent and gopher components to validate config.json extraction, metadata mapping, Kubernetes API interactions for BaseModel/ClusterBaseModel updates, and error handling for malformed data or permission issues.
  • BaseModel Controller Unit Tests: Introduced comprehensive tests for the BaseModel controller's interaction with PVC storage, including metadata job creation, job spec validation, idempotency, and reconciliation logic for different PVC states (bound, pending, non-existent).
  • End-to-End PVC Workflow Tests: New E2E tests validate the complete lifecycle of models stored on PVCs, from PVC creation and population, through BaseModel processing and InferenceService deployment, including various error conditions and access mode behaviors (RWO, RWX).
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Code Review

This pull request introduces comprehensive test coverage for PVC storage functionality. I've suggested some improvements related to code simplification, fixing incorrect test expectations, and reducing duplication to enhance maintainability and correctness.

abhinav-1305 and others added 2 commits July 12, 2025 20:24
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
@slin1237
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thanks for the contribution, please fix the CI

@abhinav-1305
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Hi @slin1237, I’ve fixed the comments from Gemini. Could you please re-trigger the CI so I can check the failures?

@slin1237
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most of these CI commands are in make file

make tidy; make fmt; make vet;
make test

you can verify those changes locally

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2 participants