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640
vendor/ComfyUI/tests/execution/test_jobs.py
vendored
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640
vendor/ComfyUI/tests/execution/test_jobs.py
vendored
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"""Unit tests for comfy_execution/jobs.py"""
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import pytest
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from comfy_execution.jobs import (
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JobStatus,
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is_previewable,
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normalize_queue_item,
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normalize_history_item,
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normalize_output_item,
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normalize_outputs,
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get_outputs_summary,
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apply_sorting,
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has_3d_extension,
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validate_job_id,
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)
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class TestValidateJobId:
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"""validate_job_id guards job creation: POST /prompt rejects ids it raises on."""
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def test_canonical_form_passes_through(self):
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cid = "a1b2c3d4-e5f6-7a89-b0c1-d2e3f4a5b6c7"
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assert validate_job_id(cid) == cid
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@pytest.mark.parametrize(
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"variant",
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[
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"A1B2C3D4-E5F6-7A89-B0C1-D2E3F4A5B6C7", # uppercase
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"{a1b2c3d4-e5f6-7a89-b0c1-d2e3f4a5b6c7}", # braced
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"urn:uuid:a1b2c3d4-e5f6-7a89-b0c1-d2e3f4a5b6c7", # URN
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"a1b2c3d4e5f67a89b0c1d2e3f4a5b6c7", # bare hex
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" a1b2c3d4-e5f6-7a89-b0c1-d2e3f4a5b6c7 ", # padded
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],
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)
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def test_non_canonical_spellings_rejected(self, variant):
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# uuid.UUID parses all of these, but accepting them would silently
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# rewrite the client's id (history keys, websocket events, and
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# /interrupt matching all match the stored form exactly).
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with pytest.raises(ValueError):
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validate_job_id(variant)
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@pytest.mark.parametrize(
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"bad",
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["", "not-a-uuid", "prompt-123", "a1b2c3d4-e5f6-7a89-b0c1", "None"],
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)
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def test_non_uuid_strings_rejected(self, bad):
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with pytest.raises(ValueError):
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validate_job_id(bad)
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@pytest.mark.parametrize("bad", [123, 1.5, True, None, ["a"], {"id": "x"}])
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def test_non_strings_rejected(self, bad):
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# uuid.UUID raises AttributeError/TypeError on non-strings; the helper
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# must normalize those to ValueError so callers need one except clause.
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with pytest.raises(ValueError):
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validate_job_id(bad)
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class TestJobStatus:
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"""Test JobStatus constants."""
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def test_status_values(self):
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"""Status constants should have expected string values."""
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assert JobStatus.PENDING == 'pending'
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assert JobStatus.IN_PROGRESS == 'in_progress'
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assert JobStatus.COMPLETED == 'completed'
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assert JobStatus.FAILED == 'failed'
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assert JobStatus.CANCELLED == 'cancelled'
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def test_all_contains_all_statuses(self):
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"""ALL should contain all status values."""
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assert JobStatus.PENDING in JobStatus.ALL
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assert JobStatus.IN_PROGRESS in JobStatus.ALL
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assert JobStatus.COMPLETED in JobStatus.ALL
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assert JobStatus.FAILED in JobStatus.ALL
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assert JobStatus.CANCELLED in JobStatus.ALL
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assert len(JobStatus.ALL) == 5
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class TestIsPreviewable:
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"""Unit tests for is_previewable()"""
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def test_previewable_media_types(self):
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"""Images, video, audio, 3d, text media types should be previewable."""
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for media_type in ['images', 'video', 'audio', '3d', 'text']:
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assert is_previewable(media_type, {}) is True
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def test_non_previewable_media_types(self):
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"""Other media types should not be previewable."""
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for media_type in ['latents', 'metadata', 'files']:
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assert is_previewable(media_type, {}) is False
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def test_3d_extensions_previewable(self):
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"""3D file extensions should be previewable regardless of media_type."""
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for ext in ['.obj', '.fbx', '.gltf', '.glb', '.usdz']:
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item = {'filename': f'model{ext}'}
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assert is_previewable('files', item) is True
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def test_3d_extensions_case_insensitive(self):
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"""3D extension check should be case insensitive."""
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item = {'filename': 'MODEL.GLB'}
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assert is_previewable('files', item) is True
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def test_video_format_previewable(self):
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"""Items with video/ format should be previewable."""
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item = {'format': 'video/mp4'}
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assert is_previewable('files', item) is True
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def test_audio_format_previewable(self):
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"""Items with audio/ format should be previewable."""
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item = {'format': 'audio/wav'}
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assert is_previewable('files', item) is True
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def test_other_format_not_previewable(self):
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"""Items with other format should not be previewable."""
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item = {'format': 'application/json'}
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assert is_previewable('files', item) is False
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class TestGetOutputsSummary:
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"""Unit tests for get_outputs_summary()"""
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def test_empty_outputs(self):
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"""Empty outputs should return 0 count and None preview."""
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count, preview = get_outputs_summary({})
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assert count == 0
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assert preview is None
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def test_counts_across_multiple_nodes(self):
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"""Outputs from multiple nodes should all be counted."""
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outputs = {
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'node1': {'images': [{'filename': 'a.png', 'type': 'output'}]},
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'node2': {'images': [{'filename': 'b.png', 'type': 'output'}]},
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'node3': {'images': [
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{'filename': 'c.png', 'type': 'output'},
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{'filename': 'd.png', 'type': 'output'}
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]}
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}
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count, preview = get_outputs_summary(outputs)
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assert count == 4
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def test_skips_animated_key_and_non_list_values(self):
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"""The 'animated' key and non-list values should be skipped."""
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outputs = {
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'node1': {
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'images': [{'filename': 'test.png', 'type': 'output'}],
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'animated': [True], # Should skip due to key name
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'metadata': 'string', # Should skip due to non-list
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'count': 42 # Should skip due to non-list
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}
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}
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count, preview = get_outputs_summary(outputs)
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assert count == 1
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def test_preview_prefers_type_output(self):
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"""Items with type='output' should be preferred for preview."""
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outputs = {
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'node1': {
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'images': [
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{'filename': 'temp.png', 'type': 'temp'},
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{'filename': 'output.png', 'type': 'output'}
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]
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}
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}
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count, preview = get_outputs_summary(outputs)
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assert count == 2
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assert preview['filename'] == 'output.png'
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def test_preview_fallback_when_no_output_type(self):
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"""If no type='output', should use first previewable."""
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outputs = {
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'node1': {
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'images': [
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{'filename': 'temp1.png', 'type': 'temp'},
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{'filename': 'temp2.png', 'type': 'temp'}
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]
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}
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}
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count, preview = get_outputs_summary(outputs)
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assert preview['filename'] == 'temp1.png'
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def test_non_previewable_media_types_counted_but_no_preview(self):
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"""Non-previewable media types should be counted but not used as preview."""
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outputs = {
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'node1': {
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'latents': [
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{'filename': 'latent1.safetensors'},
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{'filename': 'latent2.safetensors'}
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]
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}
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}
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count, preview = get_outputs_summary(outputs)
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assert count == 2
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assert preview is None
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def test_previewable_media_types(self):
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"""Images, video, and audio media types should be previewable."""
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for media_type in ['images', 'video', 'audio']:
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outputs = {
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'node1': {
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media_type: [{'filename': 'test.file', 'type': 'output'}]
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}
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}
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count, preview = get_outputs_summary(outputs)
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assert preview is not None, f"{media_type} should be previewable"
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def test_3d_files_previewable(self):
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"""3D file extensions should be previewable."""
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for ext in ['.obj', '.fbx', '.gltf', '.glb', '.usdz']:
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outputs = {
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'node1': {
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'files': [{'filename': f'model{ext}', 'type': 'output'}]
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}
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}
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count, preview = get_outputs_summary(outputs)
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assert preview is not None, f"3D file {ext} should be previewable"
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def test_format_mime_type_previewable(self):
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"""Files with video/ or audio/ format should be previewable."""
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for fmt in ['video/x-custom', 'audio/x-custom']:
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outputs = {
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'node1': {
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'files': [{'filename': 'file.custom', 'format': fmt, 'type': 'output'}]
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}
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}
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count, preview = get_outputs_summary(outputs)
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assert preview is not None, f"Format {fmt} should be previewable"
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def test_preview_enriched_with_node_metadata(self):
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"""Preview should include nodeId, mediaType, and original fields."""
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outputs = {
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'node123': {
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'images': [{'filename': 'test.png', 'type': 'output', 'subfolder': 'outputs'}]
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}
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}
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count, preview = get_outputs_summary(outputs)
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assert preview['nodeId'] == 'node123'
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assert preview['mediaType'] == 'images'
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assert preview['subfolder'] == 'outputs'
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def test_string_3d_filename_creates_preview(self):
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"""String items with 3D extensions should synthesize a preview (Preview3D node output).
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Only the .glb counts — nulls and non-file strings are excluded."""
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outputs = {
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'node1': {
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'result': ['preview3d_abc123.glb', None, None]
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}
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}
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count, preview = get_outputs_summary(outputs)
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assert count == 1
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assert preview is not None
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assert preview['filename'] == 'preview3d_abc123.glb'
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assert preview['mediaType'] == '3d'
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assert preview['nodeId'] == 'node1'
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assert preview['type'] == 'output'
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def test_string_non_3d_filename_no_preview(self):
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"""String items without 3D extensions should not create a preview."""
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outputs = {
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'node1': {
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'result': ['data.json', None]
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}
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}
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count, preview = get_outputs_summary(outputs)
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assert count == 0
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assert preview is None
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def test_string_3d_filename_used_as_fallback(self):
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"""String 3D preview should be used when no dict items are previewable."""
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outputs = {
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'node1': {
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'latents': [{'filename': 'latent.safetensors'}],
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},
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'node2': {
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'result': ['model.glb', None]
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}
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}
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count, preview = get_outputs_summary(outputs)
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assert preview is not None
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assert preview['filename'] == 'model.glb'
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assert preview['mediaType'] == '3d'
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class TestHas3DExtension:
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"""Unit tests for has_3d_extension()"""
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def test_recognized_extensions(self):
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for ext in ['.obj', '.fbx', '.gltf', '.glb', '.usdz']:
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assert has_3d_extension(f'model{ext}') is True
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def test_case_insensitive(self):
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assert has_3d_extension('MODEL.GLB') is True
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assert has_3d_extension('Scene.GLTF') is True
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def test_non_3d_extensions(self):
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for name in ['photo.png', 'video.mp4', 'data.json', 'model']:
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assert has_3d_extension(name) is False
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class TestApplySorting:
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"""Unit tests for apply_sorting()"""
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def test_sort_by_create_time_desc(self):
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"""Default sort by create_time descending."""
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jobs = [
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{'id': 'a', 'create_time': 100},
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{'id': 'b', 'create_time': 300},
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{'id': 'c', 'create_time': 200},
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]
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result = apply_sorting(jobs, 'created_at', 'desc')
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assert [j['id'] for j in result] == ['b', 'c', 'a']
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def test_sort_by_create_time_asc(self):
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"""Sort by create_time ascending."""
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jobs = [
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{'id': 'a', 'create_time': 100},
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{'id': 'b', 'create_time': 300},
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{'id': 'c', 'create_time': 200},
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]
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result = apply_sorting(jobs, 'created_at', 'asc')
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assert [j['id'] for j in result] == ['a', 'c', 'b']
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def test_sort_by_execution_duration(self):
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"""Sort by execution_duration should order by duration."""
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jobs = [
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{'id': 'a', 'create_time': 100, 'execution_start_time': 100, 'execution_end_time': 5100}, # 5s
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{'id': 'b', 'create_time': 300, 'execution_start_time': 300, 'execution_end_time': 1300}, # 1s
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{'id': 'c', 'create_time': 200, 'execution_start_time': 200, 'execution_end_time': 3200}, # 3s
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]
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result = apply_sorting(jobs, 'execution_duration', 'desc')
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assert [j['id'] for j in result] == ['a', 'c', 'b']
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def test_sort_with_none_values(self):
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"""Jobs with None values should sort as 0."""
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jobs = [
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{'id': 'a', 'create_time': 100, 'execution_start_time': 100, 'execution_end_time': 5100},
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{'id': 'b', 'create_time': 300, 'execution_start_time': None, 'execution_end_time': None},
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{'id': 'c', 'create_time': 200, 'execution_start_time': 200, 'execution_end_time': 3200},
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]
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result = apply_sorting(jobs, 'execution_duration', 'asc')
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||||
assert result[0]['id'] == 'b' # None treated as 0, comes first
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||||
|
||||
|
||||
class TestNormalizeQueueItem:
|
||||
"""Unit tests for normalize_queue_item()"""
|
||||
|
||||
def test_basic_normalization(self):
|
||||
"""Queue item should be normalized to job dict."""
|
||||
item = (
|
||||
10, # priority/number
|
||||
'prompt-123', # prompt_id
|
||||
{'nodes': {}}, # prompt
|
||||
{
|
||||
'create_time': 1234567890,
|
||||
'extra_pnginfo': {'workflow': {'id': 'workflow-abc'}}
|
||||
}, # extra_data
|
||||
['node1'], # outputs_to_execute
|
||||
)
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||||
job = normalize_queue_item(item, JobStatus.PENDING)
|
||||
|
||||
assert job['id'] == 'prompt-123'
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||||
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, # priority
|
||||
'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
|
||||
# Cancelled jobs should not have execution_error set
|
||||
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]],
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user