| """Unit tests for comfy_execution/jobs.py""" |
|
|
| import pytest |
|
|
| from comfy_execution.jobs import ( |
| JobStatus, |
| is_previewable, |
| normalize_queue_item, |
| normalize_history_item, |
| normalize_output_item, |
| normalize_outputs, |
| get_outputs_summary, |
| apply_sorting, |
| has_3d_extension, |
| validate_job_id, |
| ) |
|
|
|
|
| class TestValidateJobId: |
| """validate_job_id guards job creation: POST /prompt rejects ids it raises on.""" |
|
|
| def test_canonical_form_passes_through(self): |
| cid = "a1b2c3d4-e5f6-7a89-b0c1-d2e3f4a5b6c7" |
| assert validate_job_id(cid) == cid |
|
|
| @pytest.mark.parametrize( |
| "variant", |
| [ |
| "A1B2C3D4-E5F6-7A89-B0C1-D2E3F4A5B6C7", |
| "{a1b2c3d4-e5f6-7a89-b0c1-d2e3f4a5b6c7}", |
| "urn:uuid:a1b2c3d4-e5f6-7a89-b0c1-d2e3f4a5b6c7", |
| "a1b2c3d4e5f67a89b0c1d2e3f4a5b6c7", |
| " a1b2c3d4-e5f6-7a89-b0c1-d2e3f4a5b6c7 ", |
| ], |
| ) |
| def test_non_canonical_spellings_rejected(self, variant): |
| |
| |
| |
| with pytest.raises(ValueError): |
| validate_job_id(variant) |
|
|
| @pytest.mark.parametrize( |
| "bad", |
| ["", "not-a-uuid", "prompt-123", "a1b2c3d4-e5f6-7a89-b0c1", "None"], |
| ) |
| def test_non_uuid_strings_rejected(self, bad): |
| with pytest.raises(ValueError): |
| validate_job_id(bad) |
|
|
| @pytest.mark.parametrize("bad", [123, 1.5, True, None, ["a"], {"id": "x"}]) |
| def test_non_strings_rejected(self, bad): |
| |
| |
| with pytest.raises(ValueError): |
| validate_job_id(bad) |
|
|
|
|
| class TestJobStatus: |
| """Test JobStatus constants.""" |
|
|
| def test_status_values(self): |
| """Status constants should have expected string values.""" |
| assert JobStatus.PENDING == 'pending' |
| assert JobStatus.IN_PROGRESS == 'in_progress' |
| assert JobStatus.COMPLETED == 'completed' |
| assert JobStatus.FAILED == 'failed' |
| assert JobStatus.CANCELLED == 'cancelled' |
|
|
| def test_all_contains_all_statuses(self): |
| """ALL should contain all status values.""" |
| assert JobStatus.PENDING in JobStatus.ALL |
| assert JobStatus.IN_PROGRESS in JobStatus.ALL |
| assert JobStatus.COMPLETED in JobStatus.ALL |
| assert JobStatus.FAILED in JobStatus.ALL |
| assert JobStatus.CANCELLED in JobStatus.ALL |
| assert len(JobStatus.ALL) == 5 |
|
|
|
|
| class TestIsPreviewable: |
| """Unit tests for is_previewable()""" |
|
|
| def test_previewable_media_types(self): |
| """Images, video, audio, 3d, text media types should be previewable.""" |
| for media_type in ['images', 'video', 'audio', '3d', 'text']: |
| assert is_previewable(media_type, {}) is True |
|
|
| def test_non_previewable_media_types(self): |
| """Other media types should not be previewable.""" |
| for media_type in ['latents', 'metadata', 'files']: |
| assert is_previewable(media_type, {}) is False |
|
|
| def test_3d_extensions_previewable(self): |
| """3D file extensions should be previewable regardless of media_type.""" |
| for ext in ['.obj', '.fbx', '.gltf', '.glb', '.usdz']: |
| item = {'filename': f'model{ext}'} |
| assert is_previewable('files', item) is True |
|
|
| def test_3d_extensions_case_insensitive(self): |
| """3D extension check should be case insensitive.""" |
| item = {'filename': 'MODEL.GLB'} |
| assert is_previewable('files', item) is True |
|
|
| def test_video_format_previewable(self): |
| """Items with video/ format should be previewable.""" |
| item = {'format': 'video/mp4'} |
| assert is_previewable('files', item) is True |
|
|
| def test_audio_format_previewable(self): |
| """Items with audio/ format should be previewable.""" |
| item = {'format': 'audio/wav'} |
| assert is_previewable('files', item) is True |
|
|
| def test_other_format_not_previewable(self): |
| """Items with other format should not be previewable.""" |
| item = {'format': 'application/json'} |
| assert is_previewable('files', item) is False |
|
|
|
|
| class TestGetOutputsSummary: |
| """Unit tests for get_outputs_summary()""" |
|
|
| def test_empty_outputs(self): |
| """Empty outputs should return 0 count and None preview.""" |
| count, preview = get_outputs_summary({}) |
| assert count == 0 |
| assert preview is None |
|
|
| def test_counts_across_multiple_nodes(self): |
| """Outputs from multiple nodes should all be counted.""" |
| outputs = { |
| 'node1': {'images': [{'filename': 'a.png', 'type': 'output'}]}, |
| 'node2': {'images': [{'filename': 'b.png', 'type': 'output'}]}, |
| 'node3': {'images': [ |
| {'filename': 'c.png', 'type': 'output'}, |
| {'filename': 'd.png', 'type': 'output'} |
| ]} |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert count == 4 |
|
|
| def test_skips_animated_key_and_non_list_values(self): |
| """The 'animated' key and non-list values should be skipped.""" |
| outputs = { |
| 'node1': { |
| 'images': [{'filename': 'test.png', 'type': 'output'}], |
| 'animated': [True], |
| 'metadata': 'string', |
| 'count': 42 |
| } |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert count == 1 |
|
|
| def test_preview_prefers_type_output(self): |
| """Items with type='output' should be preferred for preview.""" |
| outputs = { |
| 'node1': { |
| 'images': [ |
| {'filename': 'temp.png', 'type': 'temp'}, |
| {'filename': 'output.png', 'type': 'output'} |
| ] |
| } |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert count == 2 |
| assert preview['filename'] == 'output.png' |
|
|
| def test_preview_fallback_when_no_output_type(self): |
| """If no type='output', should use first previewable.""" |
| outputs = { |
| 'node1': { |
| 'images': [ |
| {'filename': 'temp1.png', 'type': 'temp'}, |
| {'filename': 'temp2.png', 'type': 'temp'} |
| ] |
| } |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert preview['filename'] == 'temp1.png' |
|
|
| def test_non_previewable_media_types_counted_but_no_preview(self): |
| """Non-previewable media types should be counted but not used as preview.""" |
| outputs = { |
| 'node1': { |
| 'latents': [ |
| {'filename': 'latent1.safetensors'}, |
| {'filename': 'latent2.safetensors'} |
| ] |
| } |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert count == 2 |
| assert preview is None |
|
|
| def test_previewable_media_types(self): |
| """Images, video, and audio media types should be previewable.""" |
| for media_type in ['images', 'video', 'audio']: |
| outputs = { |
| 'node1': { |
| media_type: [{'filename': 'test.file', 'type': 'output'}] |
| } |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert preview is not None, f"{media_type} should be previewable" |
|
|
| def test_3d_files_previewable(self): |
| """3D file extensions should be previewable.""" |
| for ext in ['.obj', '.fbx', '.gltf', '.glb', '.usdz']: |
| outputs = { |
| 'node1': { |
| 'files': [{'filename': f'model{ext}', 'type': 'output'}] |
| } |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert preview is not None, f"3D file {ext} should be previewable" |
|
|
| def test_format_mime_type_previewable(self): |
| """Files with video/ or audio/ format should be previewable.""" |
| for fmt in ['video/x-custom', 'audio/x-custom']: |
| outputs = { |
| 'node1': { |
| 'files': [{'filename': 'file.custom', 'format': fmt, 'type': 'output'}] |
| } |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert preview is not None, f"Format {fmt} should be previewable" |
|
|
| def test_preview_enriched_with_node_metadata(self): |
| """Preview should include nodeId, mediaType, and original fields.""" |
| outputs = { |
| 'node123': { |
| 'images': [{'filename': 'test.png', 'type': 'output', 'subfolder': 'outputs'}] |
| } |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert preview['nodeId'] == 'node123' |
| assert preview['mediaType'] == 'images' |
| assert preview['subfolder'] == 'outputs' |
|
|
| def test_string_3d_filename_creates_preview(self): |
| """String items with 3D extensions should synthesize a preview (Preview3D node output). |
| Only the .glb counts — nulls and non-file strings are excluded.""" |
| outputs = { |
| 'node1': { |
| 'result': ['preview3d_abc123.glb', None, None] |
| } |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert count == 1 |
| assert preview is not None |
| assert preview['filename'] == 'preview3d_abc123.glb' |
| assert preview['mediaType'] == '3d' |
| assert preview['nodeId'] == 'node1' |
| assert preview['type'] == 'output' |
|
|
| def test_string_non_3d_filename_no_preview(self): |
| """String items without 3D extensions should not create a preview.""" |
| outputs = { |
| 'node1': { |
| 'result': ['data.json', None] |
| } |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert count == 0 |
| assert preview is None |
|
|
| def test_string_3d_filename_used_as_fallback(self): |
| """String 3D preview should be used when no dict items are previewable.""" |
| outputs = { |
| 'node1': { |
| 'latents': [{'filename': 'latent.safetensors'}], |
| }, |
| 'node2': { |
| 'result': ['model.glb', None] |
| } |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert preview is not None |
| assert preview['filename'] == 'model.glb' |
| assert preview['mediaType'] == '3d' |
|
|
| def test_media_preview_preferred_over_text(self): |
| """A visual output wins the preview even when a text node is iterated |
| first (regression: text could mask a later temp/preview image).""" |
| outputs = { |
| 'text_node': {'text': ['a caption']}, |
| 'image_node': {'images': [{'filename': 'preview.png', 'type': 'temp'}]}, |
| } |
| count, preview = get_outputs_summary(outputs) |
| |
| assert count == 1 |
| assert preview['filename'] == 'preview.png' |
| assert preview['mediaType'] == 'images' |
|
|
| def test_text_used_as_preview_when_no_media(self): |
| """Text is the preview only when the job produced no media output.""" |
| outputs = { |
| 'text_node': {'text': ['hello world']}, |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert count == 0 |
| assert preview['mediaType'] == 'text' |
| assert preview['content'] == 'hello world' |
|
|
| def test_media_preview_preferred_over_saved_text_file(self): |
| """A visual output wins the preview over a saved text file (SaveText), |
| even a temp/preview image iterated after the text node.""" |
| outputs = { |
| 'save_text': { |
| 'text': ['the text'], |
| 'files': [{'filename': 'ComfyUI_00001.txt', 'subfolder': '', 'type': 'output'}], |
| }, |
| 'preview_image': {'images': [{'filename': 'preview.png', 'type': 'temp'}]}, |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert count == 2 |
| assert preview['filename'] == 'preview.png' |
| assert preview['mediaType'] == 'images' |
|
|
| def test_saved_media_preferred_over_saved_text_file(self): |
| outputs = { |
| 'save_text': { |
| 'text': ['the text'], |
| 'files': [{'filename': 'ComfyUI_00001.txt', 'subfolder': '', 'type': 'output'}], |
| }, |
| 'save_image': {'images': [{'filename': 'result.png', 'type': 'output'}]}, |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert count == 2 |
| assert preview['filename'] == 'result.png' |
|
|
| def test_mime_format_file_preferred_over_saved_text_file(self): |
| """Custom-node outputs previewable via MIME format (e.g. VHS videos |
| under arbitrary keys) rank as visual media, above saved text files.""" |
| outputs = { |
| 'save_text': { |
| 'files': [{'filename': 'notes.md', 'subfolder': '', 'type': 'output'}], |
| }, |
| 'video_node': { |
| 'files': [{'filename': 'clip.webm', 'format': 'video/webm', 'type': 'output'}], |
| }, |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert count == 2 |
| assert preview['filename'] == 'clip.webm' |
|
|
|
|
| def test_saved_text_file_preferred_over_raw_text(self): |
| """With no media in the job, the saved text file (a real, counted |
| output) is the preview rather than the raw text metadata.""" |
| outputs = { |
| 'save_text': { |
| 'text': ['the text'], |
| 'files': [{'filename': 'ComfyUI_00001.txt', 'subfolder': '', 'type': 'output'}], |
| }, |
| } |
| count, preview = get_outputs_summary(outputs) |
| assert count == 1 |
| assert preview['filename'] == 'ComfyUI_00001.txt' |
| assert preview['mediaType'] == 'files' |
|
|
|
|
| class TestHas3DExtension: |
| """Unit tests for has_3d_extension()""" |
|
|
| def test_recognized_extensions(self): |
| for ext in ['.obj', '.fbx', '.gltf', '.glb', '.usdz']: |
| assert has_3d_extension(f'model{ext}') is True |
|
|
| def test_case_insensitive(self): |
| assert has_3d_extension('MODEL.GLB') is True |
| assert has_3d_extension('Scene.GLTF') is True |
|
|
| def test_non_3d_extensions(self): |
| for name in ['photo.png', 'video.mp4', 'data.json', 'model']: |
| assert has_3d_extension(name) is False |
|
|
|
|
| class TestApplySorting: |
| """Unit tests for apply_sorting()""" |
|
|
| def test_sort_by_create_time_desc(self): |
| """Default sort by create_time descending.""" |
| jobs = [ |
| {'id': 'a', 'create_time': 100}, |
| {'id': 'b', 'create_time': 300}, |
| {'id': 'c', 'create_time': 200}, |
| ] |
| result = apply_sorting(jobs, 'created_at', 'desc') |
| assert [j['id'] for j in result] == ['b', 'c', 'a'] |
|
|
| def test_sort_by_create_time_asc(self): |
| """Sort by create_time ascending.""" |
| jobs = [ |
| {'id': 'a', 'create_time': 100}, |
| {'id': 'b', 'create_time': 300}, |
| {'id': 'c', 'create_time': 200}, |
| ] |
| result = apply_sorting(jobs, 'created_at', 'asc') |
| assert [j['id'] for j in result] == ['a', 'c', 'b'] |
|
|
| def test_sort_by_execution_duration(self): |
| """Sort by execution_duration should order by duration.""" |
| jobs = [ |
| {'id': 'a', 'create_time': 100, 'execution_start_time': 100, 'execution_end_time': 5100}, |
| {'id': 'b', 'create_time': 300, 'execution_start_time': 300, 'execution_end_time': 1300}, |
| {'id': 'c', 'create_time': 200, 'execution_start_time': 200, 'execution_end_time': 3200}, |
| ] |
| result = apply_sorting(jobs, 'execution_duration', 'desc') |
| assert [j['id'] for j in result] == ['a', 'c', 'b'] |
|
|
| def test_sort_with_none_values(self): |
| """Jobs with None values should sort as 0.""" |
| jobs = [ |
| {'id': 'a', 'create_time': 100, 'execution_start_time': 100, 'execution_end_time': 5100}, |
| {'id': 'b', 'create_time': 300, 'execution_start_time': None, 'execution_end_time': None}, |
| {'id': 'c', 'create_time': 200, 'execution_start_time': 200, 'execution_end_time': 3200}, |
| ] |
| result = apply_sorting(jobs, 'execution_duration', 'asc') |
| assert result[0]['id'] == 'b' |
|
|
|
|
| class TestNormalizeQueueItem: |
| """Unit tests for normalize_queue_item()""" |
|
|
| def test_basic_normalization(self): |
| """Queue item should be normalized to job dict.""" |
| item = ( |
| 10, |
| 'prompt-123', |
| {'nodes': {}}, |
| { |
| 'create_time': 1234567890, |
| 'extra_pnginfo': {'workflow': {'id': 'workflow-abc'}} |
| }, |
| ['node1'], |
| ) |
| job = normalize_queue_item(item, JobStatus.PENDING) |
|
|
| assert job['id'] == 'prompt-123' |
| assert job['status'] == 'pending' |
| assert job['priority'] == 10 |
| assert job['create_time'] == 1234567890 |
| assert 'execution_start_time' not in job |
| assert 'execution_end_time' not in job |
| assert 'execution_error' not in job |
| assert 'preview_output' not in job |
| assert job['outputs_count'] == 0 |
| assert job['workflow_id'] == 'workflow-abc' |
|
|
|
|
| class TestNormalizeHistoryItem: |
| """Unit tests for normalize_history_item()""" |
|
|
| def test_completed_job(self): |
| """Completed history item should have correct status and times from messages.""" |
| history_item = { |
| 'prompt': ( |
| 5, |
| 'prompt-456', |
| {'nodes': {}}, |
| { |
| 'create_time': 1234567890000, |
| 'extra_pnginfo': {'workflow': {'id': 'workflow-xyz'}} |
| }, |
| ['node1'], |
| ), |
| 'status': { |
| 'status_str': 'success', |
| 'completed': True, |
| 'messages': [ |
| ('execution_start', {'prompt_id': 'prompt-456', 'timestamp': 1234567890500}), |
| ('execution_success', {'prompt_id': 'prompt-456', 'timestamp': 1234567893000}), |
| ] |
| }, |
| 'outputs': {}, |
| } |
| job = normalize_history_item('prompt-456', history_item) |
|
|
| assert job['id'] == 'prompt-456' |
| assert job['status'] == 'completed' |
| assert job['priority'] == 5 |
| assert job['execution_start_time'] == 1234567890500 |
| assert job['execution_end_time'] == 1234567893000 |
| assert job['workflow_id'] == 'workflow-xyz' |
|
|
| def test_failed_job(self): |
| """Failed history item should have failed status and error from messages.""" |
| history_item = { |
| 'prompt': ( |
| 5, |
| 'prompt-789', |
| {'nodes': {}}, |
| {'create_time': 1234567890000}, |
| ['node1'], |
| ), |
| 'status': { |
| 'status_str': 'error', |
| 'completed': False, |
| 'messages': [ |
| ('execution_start', {'prompt_id': 'prompt-789', 'timestamp': 1234567890500}), |
| ('execution_error', { |
| 'prompt_id': 'prompt-789', |
| 'node_id': '5', |
| 'node_type': 'KSampler', |
| 'exception_message': 'CUDA out of memory', |
| 'exception_type': 'RuntimeError', |
| 'traceback': ['Traceback...', 'RuntimeError: CUDA out of memory'], |
| 'timestamp': 1234567891000, |
| }) |
| ] |
| }, |
| 'outputs': {}, |
| } |
|
|
| job = normalize_history_item('prompt-789', history_item) |
| assert job['status'] == 'failed' |
| assert job['execution_start_time'] == 1234567890500 |
| assert job['execution_end_time'] == 1234567891000 |
| assert job['execution_error']['node_id'] == '5' |
| assert job['execution_error']['node_type'] == 'KSampler' |
| assert job['execution_error']['exception_message'] == 'CUDA out of memory' |
|
|
| def test_cancelled_job(self): |
| """Cancelled/interrupted history item should have cancelled status.""" |
| history_item = { |
| 'prompt': ( |
| 5, |
| 'prompt-cancelled', |
| {'nodes': {}}, |
| {'create_time': 1234567890000}, |
| ['node1'], |
| ), |
| 'status': { |
| 'status_str': 'error', |
| 'completed': False, |
| 'messages': [ |
| ('execution_start', {'prompt_id': 'prompt-cancelled', 'timestamp': 1234567890500}), |
| ('execution_interrupted', { |
| 'prompt_id': 'prompt-cancelled', |
| 'node_id': '5', |
| 'node_type': 'KSampler', |
| 'executed': ['1', '2', '3'], |
| 'timestamp': 1234567891000, |
| }) |
| ] |
| }, |
| 'outputs': {}, |
| } |
|
|
| job = normalize_history_item('prompt-cancelled', history_item) |
| assert job['status'] == 'cancelled' |
| assert job['execution_start_time'] == 1234567890500 |
| assert job['execution_end_time'] == 1234567891000 |
| |
| assert 'execution_error' not in job |
|
|
| def test_include_outputs(self): |
| """When include_outputs=True, should include full output data.""" |
| history_item = { |
| 'prompt': ( |
| 5, |
| 'prompt-123', |
| {'nodes': {'1': {}}}, |
| {'create_time': 1234567890, 'client_id': 'abc'}, |
| ['node1'], |
| ), |
| 'status': {'status_str': 'success', 'completed': True, 'messages': []}, |
| 'outputs': {'node1': {'images': [{'filename': 'test.png'}]}}, |
| } |
| job = normalize_history_item('prompt-123', history_item, include_outputs=True) |
|
|
| assert 'outputs' in job |
| assert 'workflow' in job |
| assert 'execution_status' in job |
| assert job['outputs'] == {'node1': {'images': [{'filename': 'test.png'}]}} |
| assert job['workflow'] == { |
| 'prompt': {'nodes': {'1': {}}}, |
| 'extra_data': {'create_time': 1234567890, 'client_id': 'abc'}, |
| } |
|
|
| def test_include_outputs_normalizes_3d_strings(self): |
| """Detail view should transform string 3D filenames into file output dicts.""" |
| history_item = { |
| 'prompt': ( |
| 5, |
| 'prompt-3d', |
| {'nodes': {}}, |
| {'create_time': 1234567890}, |
| ['node1'], |
| ), |
| 'status': {'status_str': 'success', 'completed': True, 'messages': []}, |
| 'outputs': { |
| 'node1': { |
| 'result': ['preview3d_abc123.glb', None, None] |
| } |
| }, |
| } |
| job = normalize_history_item('prompt-3d', history_item, include_outputs=True) |
|
|
| assert job['outputs_count'] == 1 |
| result_items = job['outputs']['node1']['result'] |
| assert len(result_items) == 1 |
| assert result_items[0] == { |
| 'filename': 'preview3d_abc123.glb', |
| 'type': 'output', |
| 'subfolder': '', |
| 'mediaType': '3d', |
| } |
|
|
| def test_include_outputs_preserves_dict_items(self): |
| """Detail view normalization should pass dict items through unchanged.""" |
| history_item = { |
| 'prompt': ( |
| 5, |
| 'prompt-img', |
| {'nodes': {}}, |
| {'create_time': 1234567890}, |
| ['node1'], |
| ), |
| 'status': {'status_str': 'success', 'completed': True, 'messages': []}, |
| 'outputs': { |
| 'node1': { |
| 'images': [ |
| {'filename': 'photo.png', 'type': 'output', 'subfolder': ''}, |
| ] |
| } |
| }, |
| } |
| job = normalize_history_item('prompt-img', history_item, include_outputs=True) |
|
|
| assert job['outputs_count'] == 1 |
| assert job['outputs']['node1']['images'] == [ |
| {'filename': 'photo.png', 'type': 'output', 'subfolder': ''}, |
| ] |
|
|
|
|
| class TestNormalizeOutputItem: |
| """Unit tests for normalize_output_item()""" |
|
|
| def test_none_returns_none(self): |
| assert normalize_output_item(None) is None |
|
|
| def test_string_3d_extension_synthesizes_dict(self): |
| result = normalize_output_item('model.glb') |
| assert result == {'filename': 'model.glb', 'type': 'output', 'subfolder': '', 'mediaType': '3d'} |
|
|
| def test_string_non_3d_extension_returns_none(self): |
| assert normalize_output_item('data.json') is None |
|
|
| def test_string_no_extension_returns_none(self): |
| assert normalize_output_item('camera_info_string') is None |
|
|
| def test_dict_passes_through(self): |
| item = {'filename': 'test.png', 'type': 'output'} |
| assert normalize_output_item(item) is item |
|
|
| def test_other_types_return_none(self): |
| assert normalize_output_item(42) is None |
| assert normalize_output_item(True) is None |
|
|
|
|
| class TestNormalizeOutputs: |
| """Unit tests for normalize_outputs()""" |
|
|
| def test_empty_outputs(self): |
| assert normalize_outputs({}) == {} |
|
|
| def test_dict_items_pass_through(self): |
| outputs = { |
| 'node1': { |
| 'images': [{'filename': 'a.png', 'type': 'output'}], |
| } |
| } |
| result = normalize_outputs(outputs) |
| assert result == outputs |
|
|
| def test_3d_string_synthesized(self): |
| outputs = { |
| 'node1': { |
| 'result': ['model.glb', None, None], |
| } |
| } |
| result = normalize_outputs(outputs) |
| assert result == { |
| 'node1': { |
| 'result': [ |
| {'filename': 'model.glb', 'type': 'output', 'subfolder': '', 'mediaType': '3d'}, |
| ], |
| } |
| } |
|
|
| def test_animated_key_preserved(self): |
| outputs = { |
| 'node1': { |
| 'images': [{'filename': 'a.png', 'type': 'output'}], |
| 'animated': [True], |
| } |
| } |
| result = normalize_outputs(outputs) |
| assert result['node1']['animated'] == [True] |
|
|
| def test_non_dict_node_outputs_preserved(self): |
| outputs = {'node1': 'unexpected_value'} |
| result = normalize_outputs(outputs) |
| assert result == {'node1': 'unexpected_value'} |
|
|
| def test_none_items_filtered_but_other_types_preserved(self): |
| outputs = { |
| 'node1': { |
| 'result': ['data.json', None, [1, 2, 3]], |
| } |
| } |
| result = normalize_outputs(outputs) |
| assert result == { |
| 'node1': { |
| 'result': ['data.json', [1, 2, 3]], |
| } |
| } |
|
|