Andron666
115 lines
4.9 KiB
Python
115 lines
4.9 KiB
Python
# Copyright (c) <2021> Side Effects Software Inc.
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# All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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#
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# 1. Redistributions of source code must retain the above copyright notice,
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# this list of conditions and the following disclaimer.
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#
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# 2. The name of Side Effects Software may not be used to endorse or
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# promote products derived from this software without specific prior
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# written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY SIDE EFFECTS SOFTWARE "AS IS" AND ANY EXPRESS
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# OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
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# OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN
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# NO EVENT SHALL SIDE EFFECTS SOFTWARE BE LIABLE FOR ANY DIRECT, INDIRECT,
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# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA,
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# OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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# NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
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# EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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import unreal
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""" Example script for instantiating an asset, setting parameters, cooking it
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and iterating over and logging all of its output objects.
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"""
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_g_wrapper = None
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def get_test_hda_path():
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return '/HoudiniEngine/Examples/hda/pig_head_subdivider_v01.pig_head_subdivider_v01'
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def get_test_hda():
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return unreal.load_object(None, get_test_hda_path())
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def on_post_instantiation(in_wrapper):
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print('on_post_instantiation')
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# in_wrapper.on_post_instantiation_state_exited_delegate_delegate.remove_callable(on_post_instantiation)
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# Set parameter values for the next cook
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# in_wrapper.set_bool_parameter_value('add_instances', True)
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# in_wrapper.set_int_parameter_value('num_instances', 8)
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in_wrapper.set_parameter_tuples({
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'add_instances': unreal.HoudiniParameterTuple(bool_values=(True, )),
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'num_instances': unreal.HoudiniParameterTuple(int32_values=(8, )),
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})
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# Print all parameter values
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param_tuples = in_wrapper.get_parameter_tuples()
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print('parameter tuples: {}'.format(len(param_tuples) if param_tuples else 0))
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if param_tuples:
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for param_tuple_name, param_tuple in param_tuples.items():
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print('parameter tuple name: {}'.format(param_tuple_name))
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print('\tbool_values: {}'.format(param_tuple.bool_values))
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print('\tfloat_values: {}'.format(param_tuple.float_values))
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print('\tint32_values: {}'.format(param_tuple.int32_values))
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print('\tstring_values: {}'.format(param_tuple.string_values))
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# Force a cook/recook
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in_wrapper.recook()
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def on_post_process(in_wrapper):
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print('on_post_process')
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# in_wrapper.on_post_processing_delegate.remove_callable(on_post_process)
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# Print out all outputs generated by the HDA
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num_outputs = in_wrapper.get_num_outputs()
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print('num_outputs: {}'.format(num_outputs))
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if num_outputs > 0:
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for output_idx in range(num_outputs):
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identifiers = in_wrapper.get_output_identifiers_at(output_idx)
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print('\toutput index: {}'.format(output_idx))
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print('\toutput type: {}'.format(in_wrapper.get_output_type_at(output_idx)))
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print('\tnum_output_objects: {}'.format(len(identifiers)))
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if identifiers:
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for identifier in identifiers:
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output_object = in_wrapper.get_output_object_at(output_idx, identifier)
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output_component = in_wrapper.get_output_component_at(output_idx, identifier)
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is_proxy = in_wrapper.is_output_current_proxy_at(output_idx, identifier)
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print('\t\tidentifier: {}'.format(identifier))
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print('\t\toutput_object: {}'.format(output_object.get_name() if output_object else 'None'))
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print('\t\toutput_component: {}'.format(output_component.get_name() if output_component else 'None'))
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print('\t\tis_proxy: {}'.format(is_proxy))
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print('')
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def run():
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# get the API singleton
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api = unreal.HoudiniPublicAPIBlueprintLib.get_api()
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global _g_wrapper
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# instantiate an asset, disabling auto-cook of the asset (so we have to
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# call wrapper.reCook() to cook it)
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_g_wrapper = api.instantiate_asset(get_test_hda(), unreal.Transform(), enable_auto_cook=False)
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# Bind to the on post instantiation delegate (before the first cook)
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_g_wrapper.on_post_instantiation_delegate.add_callable(on_post_instantiation)
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# Bind to the on post processing delegate (after a cook and after all
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# outputs have been generated in Unreal)
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_g_wrapper.on_post_processing_delegate.add_callable(on_post_process)
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if __name__ == '__main__':
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run()
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