feat(jobs): add 3d to PREVIEWABLE_MEDIA_TYPES for first-class 3D output support (#12381)

Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com>
This commit is contained in:
guill
2026-02-10 14:37:14 -08:00
committed by GitHub
parent 123a7874a9
commit 00fff6019e
2 changed files with 271 additions and 16 deletions

View File

@@ -20,10 +20,60 @@ class JobStatus:
# Media types that can be previewed in the frontend
PREVIEWABLE_MEDIA_TYPES = frozenset({'images', 'video', 'audio'})
PREVIEWABLE_MEDIA_TYPES = frozenset({'images', 'video', 'audio', '3d'})
# 3D file extensions for preview fallback (no dedicated media_type exists)
THREE_D_EXTENSIONS = frozenset({'.obj', '.fbx', '.gltf', '.glb'})
THREE_D_EXTENSIONS = frozenset({'.obj', '.fbx', '.gltf', '.glb', '.usdz'})
def has_3d_extension(filename: str) -> bool:
lower = filename.lower()
return any(lower.endswith(ext) for ext in THREE_D_EXTENSIONS)
def normalize_output_item(item):
"""Normalize a single output list item for the jobs API.
Returns the normalized item, or None to exclude it.
String items with 3D extensions become {filename, type, subfolder} dicts.
"""
if item is None:
return None
if isinstance(item, str):
if has_3d_extension(item):
return {'filename': item, 'type': 'output', 'subfolder': '', 'mediaType': '3d'}
return None
if isinstance(item, dict):
return item
return None
def normalize_outputs(outputs: dict) -> dict:
"""Normalize raw node outputs for the jobs API.
Transforms string 3D filenames into file output dicts and removes
None items. All other items (non-3D strings, dicts, etc.) are
preserved as-is.
"""
normalized = {}
for node_id, node_outputs in outputs.items():
if not isinstance(node_outputs, dict):
normalized[node_id] = node_outputs
continue
normalized_node = {}
for media_type, items in node_outputs.items():
if media_type == 'animated' or not isinstance(items, list):
normalized_node[media_type] = items
continue
normalized_items = []
for item in items:
if item is None:
continue
norm = normalize_output_item(item)
normalized_items.append(norm if norm is not None else item)
normalized_node[media_type] = normalized_items
normalized[node_id] = normalized_node
return normalized
def _extract_job_metadata(extra_data: dict) -> tuple[Optional[int], Optional[str]]:
@@ -45,9 +95,9 @@ def is_previewable(media_type: str, item: dict) -> bool:
Maintains backwards compatibility with existing logic.
Priority:
1. media_type is 'images', 'video', or 'audio'
1. media_type is 'images', 'video', 'audio', or '3d'
2. format field starts with 'video/' or 'audio/'
3. filename has a 3D extension (.obj, .fbx, .gltf, .glb)
3. filename has a 3D extension (.obj, .fbx, .gltf, .glb, .usdz)
"""
if media_type in PREVIEWABLE_MEDIA_TYPES:
return True
@@ -139,7 +189,7 @@ def normalize_history_item(prompt_id: str, history_item: dict, include_outputs:
})
if include_outputs:
job['outputs'] = outputs
job['outputs'] = normalize_outputs(outputs)
job['execution_status'] = status_info
job['workflow'] = {
'prompt': prompt,
@@ -171,18 +221,23 @@ def get_outputs_summary(outputs: dict) -> tuple[int, Optional[dict]]:
continue
for item in items:
count += 1
if not isinstance(item, dict):
normalized = normalize_output_item(item)
if normalized is None:
continue
if preview_output is None and is_previewable(media_type, item):
count += 1
if preview_output is not None:
continue
if isinstance(normalized, dict) and is_previewable(media_type, normalized):
enriched = {
**item,
**normalized,
'nodeId': node_id,
'mediaType': media_type
}
if item.get('type') == 'output':
if 'mediaType' not in normalized:
enriched['mediaType'] = media_type
if normalized.get('type') == 'output':
preview_output = enriched
elif fallback_preview is None:
fallback_preview = enriched

View File

@@ -5,8 +5,11 @@ from comfy_execution.jobs import (
is_previewable,
normalize_queue_item,
normalize_history_item,
normalize_output_item,
normalize_outputs,
get_outputs_summary,
apply_sorting,
has_3d_extension,
)
@@ -35,8 +38,8 @@ class TestIsPreviewable:
"""Unit tests for is_previewable()"""
def test_previewable_media_types(self):
"""Images, video, audio media types should be previewable."""
for media_type in ['images', 'video', 'audio']:
"""Images, video, audio, 3d media types should be previewable."""
for media_type in ['images', 'video', 'audio', '3d']:
assert is_previewable(media_type, {}) is True
def test_non_previewable_media_types(self):
@@ -46,7 +49,7 @@ class TestIsPreviewable:
def test_3d_extensions_previewable(self):
"""3D file extensions should be previewable regardless of media_type."""
for ext in ['.obj', '.fbx', '.gltf', '.glb']:
for ext in ['.obj', '.fbx', '.gltf', '.glb', '.usdz']:
item = {'filename': f'model{ext}'}
assert is_previewable('files', item) is True
@@ -160,7 +163,7 @@ class TestGetOutputsSummary:
def test_3d_files_previewable(self):
"""3D file extensions should be previewable."""
for ext in ['.obj', '.fbx', '.gltf', '.glb']:
for ext in ['.obj', '.fbx', '.gltf', '.glb', '.usdz']:
outputs = {
'node1': {
'files': [{'filename': f'model{ext}', 'type': 'output'}]
@@ -192,6 +195,64 @@ class TestGetOutputsSummary:
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'
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()"""
@@ -395,3 +456,142 @@ class TestNormalizeHistoryItem:
'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]],
}
}