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[loop-generated] [test] Add unit tests for infrastructure/models/multimodal.py — 472 lines untested #1374

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opened 2026-03-24 10:22:50 +00:00 by Timmy · 2 comments
Timmy commented 2026-03-24 10:22:50 +00:00
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Priority: High
Impact: Multimodal AI reliability, model handling
Size: 472 lines, 0% test coverage

Problem

src/infrastructure/models/multimodal.py has NO unit test coverage despite being 472 lines of critical multimodal AI model handling code. This affects vision, audio, and multimodal capabilities.

Required Test Coverage

  • Model loading and initialization
  • Vision processing pipelines
  • Audio processing workflows
  • Error handling for model failures
  • Resource management and cleanup
  • Input validation and sanitization

Test Structure

class TestMultimodalModels:
    def test_load_vision_model_success(self):
        # Mock model loading, test initialization
        pass
    
    def test_process_image_input(self):
        # Test image processing pipeline
        pass
        
    def test_audio_processing_workflow(self):
        # Test audio handling
        pass

Acceptance Criteria

  • Create tests/infrastructure/test_multimodal_models.py
  • 90%+ code coverage of multimodal.py
  • All tests pass in tox -e unit
  • Mock all external model dependencies

This is critical for multimodal AI reliability.

**Priority**: High **Impact**: Multimodal AI reliability, model handling **Size**: 472 lines, 0% test coverage ## Problem `src/infrastructure/models/multimodal.py` has NO unit test coverage despite being 472 lines of critical multimodal AI model handling code. This affects vision, audio, and multimodal capabilities. ## Required Test Coverage - Model loading and initialization - Vision processing pipelines - Audio processing workflows - Error handling for model failures - Resource management and cleanup - Input validation and sanitization ## Test Structure ```python class TestMultimodalModels: def test_load_vision_model_success(self): # Mock model loading, test initialization pass def test_process_image_input(self): # Test image processing pipeline pass def test_audio_processing_workflow(self): # Test audio handling pass ``` ## Acceptance Criteria - [ ] Create `tests/infrastructure/test_multimodal_models.py` - [ ] 90%+ code coverage of multimodal.py - [ ] All tests pass in `tox -e unit` - [ ] Mock all external model dependencies This is critical for multimodal AI reliability.
Timmy commented 2026-03-24 10:42:19 +00:00
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Kimi Assignment: Multimodal Test Coverage

Scope: Add comprehensive unit tests for src/infrastructure/models/multimodal.py (472 lines)

Files to Create/Modify:

  • tests/infrastructure/test_multimodal_models.py (new file)
  • Update any pytest fixtures if needed

Implementation Plan:

  1. Analyze the multimodal.py module structure:

    • Identify all classes and their key methods
    • Note all external dependencies that need mocking
    • Map out the critical code paths

  2. Create comprehensive test structure:

    # tests/infrastructure/test_multimodal_models.py
import pytest
from unittest.mock import Mock, patch

class TestMultimodalModels:
    def test_model_initialization(self):
        # Test proper model loading and setup
        pass

    def test_vision_processing_pipeline(self):
        # Test image input → model processing → output
        pass

    def test_audio_processing_workflow(self):
        # Test audio input handling and processing
        pass

    def test_error_handling_model_failures(self):
        # Test graceful handling of model load/inference failures
        pass

    def test_resource_management_cleanup(self):
        # Test proper cleanup of model resources
        pass

  3. Mock all external dependencies:

    • Model loading libraries (torch, transformers, etc.)
    • File system operations
    • Network calls if any
    • GPU/hardware access

  4. Verification:

    • Run tox -e unit to ensure all tests pass
    • Aim for 90%+ code coverage of multimodal.py
    • Verify tests are fast (<5s total runtime)

Testing Strategy:

  • Use pytest fixtures for common setup/teardown
  • Mock external model dependencies to avoid actual model downloads
  • Focus on logic flows, error paths, and edge cases
  • Test both success and failure scenarios

Expected Output:

  • Comprehensive test file with 10-15 test methods
  • All tests passing in CI environment
  • Proper mocking of external dependencies
  • Clear, descriptive test method names

This is critical for multimodal AI reliability. Please implement and verify all tests pass.

### Kimi Assignment: Multimodal Test Coverage **Scope**: Add comprehensive unit tests for `src/infrastructure/models/multimodal.py` (472 lines) **Files to Create/Modify**: - `tests/infrastructure/test_multimodal_models.py` (new file) - Update any pytest fixtures if needed **Implementation Plan**: 1. **Analyze the multimodal.py module structure**: - Identify all classes and their key methods - Note all external dependencies that need mocking - Map out the critical code paths 2. **Create comprehensive test structure**: ```python # tests/infrastructure/test_multimodal_models.py import pytest from unittest.mock import Mock, patch class TestMultimodalModels: def test_model_initialization(self): # Test proper model loading and setup pass def test_vision_processing_pipeline(self): # Test image input → model processing → output pass def test_audio_processing_workflow(self): # Test audio input handling and processing pass def test_error_handling_model_failures(self): # Test graceful handling of model load/inference failures pass def test_resource_management_cleanup(self): # Test proper cleanup of model resources pass ``` 3. **Mock all external dependencies**: - Model loading libraries (torch, transformers, etc.) - File system operations - Network calls if any - GPU/hardware access 4. **Verification**: - Run `tox -e unit` to ensure all tests pass - Aim for 90%+ code coverage of multimodal.py - Verify tests are fast (<5s total runtime) **Testing Strategy**: - Use pytest fixtures for common setup/teardown - Mock external model dependencies to avoid actual model downloads - Focus on logic flows, error paths, and edge cases - Test both success and failure scenarios **Expected Output**: - Comprehensive test file with 10-15 test methods - All tests passing in CI environment - Proper mocking of external dependencies - Clear, descriptive test method names This is critical for multimodal AI reliability. Please implement and verify all tests pass.
kimi was assigned by Timmy 2026-03-24 10:42:19 +00:00
kimi was unassigned by Timmy 2026-03-24 19:33:36 +00:00
Timmy commented 2026-03-24 20:54:08 +00:00
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@kimi — Please add unit tests for src/infrastructure/models/multimodal.py.

Files to modify:

  • tests/infrastructure/test_multimodal_models.py (create or extend)

Instructions:

  1. Read src/infrastructure/models/multimodal.py (472 lines)
  2. Write comprehensive unit tests covering all public functions/classes
  3. Mock external API calls (no real network requests)
  4. Use @pytest.mark.unit on all test classes
  5. Run tox -e unit to verify all tests pass

Acceptance criteria:

  • All new tests pass with tox -e unit
  • Coverage of major code paths in multimodal.py
  • No external API calls or network dependencies
@kimi — Please add unit tests for `src/infrastructure/models/multimodal.py`. **Files to modify:** - `tests/infrastructure/test_multimodal_models.py` (create or extend) **Instructions:** 1. Read `src/infrastructure/models/multimodal.py` (472 lines) 2. Write comprehensive unit tests covering all public functions/classes 3. Mock external API calls (no real network requests) 4. Use `@pytest.mark.unit` on all test classes 5. Run `tox -e unit` to verify all tests pass **Acceptance criteria:** - All new tests pass with `tox -e unit` - Coverage of major code paths in multimodal.py - No external API calls or network dependencies
kimi was assigned by Timmy 2026-03-24 20:54:08 +00:00
Timmy closed this issue 2026-03-24 21:51:06 +00:00
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Reference: Rockachopa/Timmy-time-dashboard#1374
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