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247 | class NukeRender(WorkflowTaskNode):
""" Renders a Nuke scene.
"""
version = "0.0.1"
inputs = [
InputAttribute(
name="context",
description="The render context.",
),
InputAttribute(
name="nuke_script_path",
description="The path to the Nuke script.",
widget={
"name": "filepath",
"caption": "Select a Nuke scene file",
"filter": "Nuke Scene (*.nk)",
},
),
InputAttribute(
name="input_media",
description="The input media",
),
InputAttribute(
name="output_media",
description="The output media",
),
InputAttribute(
name="python_script_path",
description="The path to a python script.",
widget={
"name": "filepath",
"caption": "Select a Python file",
"filter": "Python Script (*.py)",
},
),
InputAttribute(
name="frame_range",
description="Restrictive frame range.",
),
InputAttribute(
name="read_node_name",
description="Explicit a Read node to use.",
),
InputAttribute(
name="write_node_name",
description="Explicit a Write node to use.",
),
InputAttribute(
name="nuke_application_variant",
description="An application variant to use.",
),
InputAttribute(
name="log_file",
description="Path to output logs.",
),
InputAttribute(
name="restrict_to_task",
description="Raises if context is not a Task.",
),
]
outputs = [
OutputAttribute(
name="rendered_media",
description="The rendered media output.",
),
]
def execute(
self,
context: ContextItem,
nuke_script_path: str,
input_media: MediaType,
output_media: MediaType,
python_script_path: Optional[str] = None,
frame_range: Optional[Union[dict, FrameRange]] = None,
read_node_name: Optional[str] = None,
write_node_name: Optional[str] = None,
nuke_application_variant: Optional[str] = None,
log_file: Optional[str] = None,
restrict_to_task: Optional[bool] = False,
) -> MediaType:
if isinstance(frame_range, dict):
frame_range = FrameRange(**frame_range)
# Construct render command line args.
app_args = ["-x"]
if write_node_name:
app_args = ["-X", write_node_name]
if output_media.frame_range:
frame_range = frame_range or output_media.frame_range
if frame_range:
app_args.extend(["-F", str(frame_range.format())])
if python_script_path:
python_script_path = _base.check_python_script_path(
context.project_name,
python_script_path,
)
temp_dir = None
else:
temp_dir, python_script_path = _base.get_temp_python_script_path(
context.project_name,
default_content=_default_py_render_logic(
read_node_name=read_node_name,
write_node_name=write_node_name,
),
suffix_name="nuke_render"
)
app_args.append(python_script_path)
if nuke_script_path:
nuke_script_path = remap_input(
nuke_script_path,
context.project_name,
)
app_args.append(nuke_script_path)
if input_media:
input_media = remap_input(input_media, context.project_name)
app_args.append(input_media.format())
# TODO: make output_media optional and
# identify media from resulting stdout instead.
# assert the output_media exists
remapped_output_media = remap_input(output_media, context.project_name)
app_args.append(remapped_output_media.format())
if log_file:
# Ensure logfile is unique per frame chunk.
if frame_range:
log_file = (
f"{log_file}._chunk{frame_range.first_frame}"
f"_{frame_range.last_frame}"
)
log_file = remap_input(
log_file,
context.project_name,
)
# Start application.
_ = _base.run_application(
"nuke",
context,
app_args=app_args,
app_application_variant=nuke_application_variant,
log_file=log_file,
temporary_directory=temp_dir,
restrict_to_task=restrict_to_task,
)
# Ensure expected output_media exists.
if isinstance(remapped_output_media, ImageSequence): # img seq
for path in remapped_output_media:
if not os.path.exists(path):
raise RuntimeError(
f"Expected frame {path} does not exists."
)
else:
if not os.path.exists(remapped_output_media.path): # video
raise RuntimeError(
f"Expected media {remapped_output_media.path} "
"does not exist."
)
return output_media
|