def test_add_models(self):
        group = ModelGroup()
        boxes = box_factory(size="__import__('numpy').random.random((2, 3))",
                            mass="__import__('numpy').random.random(2)",
                            use_permutation=True,
                            name='box')

        self.assertEqual(len(boxes), 4)

        for box in boxes:
            group.add_model(box.name, box)
            self.assertIn(box.name, group.models)
            self.assertTrue(group.model_exists(box.name))

        self.assertEqual(group.n_models, 4)

        meshes = group.get_meshes()
        self.assertEqual(len(meshes), 4)

        group.reset_models()
        self.assertEqual(group.n_models, 0)

        for box in boxes:
            group.add_model(box.name, box)
        self.assertEqual(group.n_models, 4)

        for box in boxes:
            self.assertTrue(group.rm_model(box.name))
        self.assertEqual(group.n_models, 0)
    def test_bounds(self):
        box_1 = box_factory(size=[[1, 1, 1]],
                            mass=1,
                            use_permutation=True,
                            name='box_1')[0]

        self.assertTrue(box_1.name, 'box_1')

        box_2 = box_factory(size=[[1, 1, 1]],
                            mass=1,
                            use_permutation=True,
                            name='box_2')[0]

        self.assertTrue(box_2.name, 'box_2')

        # Test bounds for different positions of the boxes
        box_1.pose = Pose.random_position()
        box_2.pose = Pose.random_position()

        group = ModelGroup()
        group.add_model(box_1.name, box_1)
        group.add_model(box_2.name, box_2)

        self.assertEqual(group.n_models, 2)

        bounds = group.get_bounds()

        ref_bounds = numpy.array(
            [[
                numpy.min([box_1.pose.x, box_2.pose.x]) - 1,
                numpy.min([box_1.pose.y, box_2.pose.y]) - 1,
                numpy.min([box_1.pose.z, box_2.pose.z]) - 1
            ],
             [
                 numpy.max([box_1.pose.x, box_2.pose.x]) + 1,
                 numpy.max([box_1.pose.y, box_2.pose.y]) + 1,
                 numpy.max([box_1.pose.z, box_2.pose.z]) + 1
             ]])

        self.assertAlmostEqual(numpy.sum(ref_bounds - bounds), 0)
    def test_retrieve_model(self):
        box = box_factory(size=[[1, 1, 1]],
                          mass=1,
                          use_permutation=True,
                          name='box')[0]

        group = ModelGroup(name='group')
        group.pose = Pose.random()

        box.pose = Pose.random()
        group.add_model('box', box)

        model = group.get_model('box')

        self.assertTrue(box.pose + group.pose, model.pose)

        models = group.get_models()
        self.assertEqual(len(models), 1)

        group_model = group.get_model('box')

        self.assertIsNotNone(group_model)
Esempio n. 4
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                         type='workspace',
                         frame='world',
                         geometry_type='area',
                         points=[
                             [-5, -5, 0],
                             [-5, 5, 0],
                             [5, 5, 0],
                             [5, -5, 0],
                         ])

print('List of constraints=', list(world_gen.constraints.tags))

plot_workspace(workspace=world_gen.constraints.get('my_workspace'))

floor_model = box_factory(size=[[20, 20, 0.01]],
                          mass=1,
                          use_permutation=True,
                          name='box_floor')[0]
floor_model.name = 'box_floor'

world_gen.add_asset(tag='box_floor', description=floor_model)

world_gen.add_engine(engine_name='fixed_pose',
                     tag='gp_engine',
                     models=['box_floor'],
                     poses=[[0, 0, -0.02, 0, 0, 0]])
world_gen.set_model_as_ground_plane('box_floor')
# world_gen.run_engines()

NUM_BOXES = 3
NUM_CYLINDER = 3
Esempio n. 5
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import sys
import unittest
import numpy as np
from pcg_gazebo.utils import generate_random_string
from pcg_gazebo.generators import ModelGroupGenerator
from pcg_gazebo.generators.creators import box_factory
from pcg_gazebo import random

BOX_MODEL = box_factory(size=[[1, 1, 1]],
                        mass=1,
                        use_permutation=True,
                        name='box')[0]
BOX_MODEL.name = 'box_' + generate_random_string(5)

BOX_FLOOR_MODEL = box_factory(size=[[1, 1, 0.01]],
                              mass=1,
                              use_permutation=True,
                              name='box_floor')[0]
BOX_FLOOR_MODEL.name = 'box_floor_' + generate_random_string(5)

FIXED_ENGINE = dict(tag='add_fixed_models',
                    engine_name='fixed_pose',
                    models=[BOX_FLOOR_MODEL.name],
                    poses=[[0, 0, 0, 0, 0, 0]])

NUM_BOXES = dict()
    def test_nested_model_groups(self):
        sdf_light = """
        <light type="point" name="point_light">
            <pose>0 2 2 0 0 0</pose>
            <diffuse>1 0 0 1</diffuse>
            <specular>.1 .1 .1 1</specular>
            <attenuation>
                <range>20</range>
                <linear>0.2</linear>
                <constant>0.8</constant>
                <quadratic>0.01</quadratic>
            </attenuation>
            <cast_shadows>false</cast_shadows>
        </light>
        """
        light = Light.from_sdf(parse_sdf(sdf_light))

        box_1 = box_factory(size=[[1, 1, 1]],
                            mass=1,
                            use_permutation=True,
                            name='box')[0]

        box_2 = box_factory(size=[[2, 2, 2]],
                            mass=2,
                            use_permutation=True,
                            name='box')[0]

        nested_group = ModelGroup(name='nested')
        root_group = ModelGroup(name='root')

        nested_group.add_light('light', light)
        nested_group.add_model('box', box_1)

        root_group.add_model('box', box_2)
        root_group.add_model('nested', nested_group)

        # Trying to get light from the root group, should return None
        gl = root_group.get_light('light')
        self.assertIsNone(gl)
        gl = root_group.get_light('nested/light')
        self.assertIsNotNone(gl)

        # Trying to get boxes from both groups
        gb = root_group.get_model('box')
        self.assertIsNotNone(gb)
        self.assertEqual(gb.links[gb.link_names[0]].inertial.mass, 2)

        gb = root_group.get_model('nested/box')
        self.assertIsNotNone(gb)
        self.assertEqual(gb.links[gb.link_names[0]].inertial.mass, 1)

        # Request all models from nested group (with and without prefix)
        group_models = nested_group.get_models(with_group_prefix=False)
        self.assertIsInstance(group_models, dict)
        self.assertEqual(len(group_models), 1)
        self.assertIn('box', group_models)

        group_models = nested_group.get_models(with_group_prefix=True)
        self.assertIsInstance(group_models, dict)
        self.assertEqual(len(group_models), 1)
        self.assertIn('nested/box', group_models)

        # Request all lights from nested group (with and without prefix)
        group_lights = nested_group.get_lights(with_group_prefix=False)
        self.assertIsInstance(group_lights, dict)
        self.assertEqual(len(group_lights), 1)
        self.assertIn('light', group_lights)

        group_lights = nested_group.get_lights(with_group_prefix=True)
        self.assertIsInstance(group_lights, dict)
        self.assertEqual(len(group_lights), 1)
        self.assertIn('nested/light', group_lights)

        # Request all models from root group (with and without prefix)
        group_models = root_group.get_models(with_group_prefix=False)
        self.assertIsInstance(group_models, dict)
        self.assertEqual(len(group_models), 2)
        self.assertIn('box', group_models)
        self.assertIn('nested/box', group_models)

        group_models = root_group.get_models(with_group_prefix=True)
        self.assertIsInstance(group_models, dict)
        self.assertEqual(len(group_models), 2)
        self.assertIn('root/box', group_models)
        self.assertIn('root/nested/box', group_models)

        # Request all lights from root group (with and without prefix)
        group_lights = root_group.get_lights(with_group_prefix=False)
        self.assertIsInstance(group_lights, dict)
        self.assertEqual(len(group_lights), 1)
        self.assertIn('nested/light', group_lights)

        group_lights = root_group.get_lights(with_group_prefix=True)
        self.assertIsInstance(group_lights, dict)
        self.assertEqual(len(group_lights), 1)
        self.assertIn('root/nested/light', group_lights)
    def test_model_group_to_sdf(self):
        sdf_light = """
        <light type="point" name="point_light">
            <pose>0 2 2 0 0 0</pose>
            <diffuse>1 0 0 1</diffuse>
            <specular>.1 .1 .1 1</specular>
            <attenuation>
                <range>20</range>
                <linear>0.2</linear>
                <constant>0.8</constant>
                <quadratic>0.01</quadratic>
            </attenuation>
            <cast_shadows>false</cast_shadows>
        </light>
        """
        light = Light.from_sdf(parse_sdf(sdf_light))
        box = box_factory(size=[[1, 1, 1]],
                          mass=1,
                          use_permutation=True,
                          name='box')[0]

        group = ModelGroup(name='test')
        group.add_light('light', light)
        group.add_model('box', box)

        sdf_models, sdf_lights, sdf_includes = group.to_sdf(use_include=False)

        self.assertEqual(len(sdf_models), 1)
        self.assertEqual(len(sdf_lights), 1)
        self.assertEqual(len(sdf_includes), 0)

        group_box = group.get_model('box', with_group_prefix=False)
        self.assertIsNotNone(group_box)
        self.assertEqual(group_box.name, 'box')

        group_box = group.get_model('box', with_group_prefix=True)
        self.assertIsNotNone(group_box)
        self.assertEqual(group_box.name, 'test/box')

        group_models = group.get_models(with_group_prefix=False)
        self.assertIsInstance(group_models, dict)
        self.assertEqual(len(group_models), 1)
        self.assertIn('box', group_models)

        group_models = group.get_models(with_group_prefix=True)
        self.assertIsInstance(group_models, dict)
        self.assertEqual(len(group_models), 1)
        self.assertIn('test/box', group_models)

        group_light = group.get_light('light', with_group_prefix=False)
        self.assertIsNotNone(group_light)
        self.assertEqual(group_light.name, 'light')

        group_light = group.get_light('light', with_group_prefix=True)
        self.assertIsNotNone(group_light)
        self.assertEqual(group_light.name, 'test/light')

        group_lights = group.get_lights(with_group_prefix=False)
        self.assertIsInstance(group_lights, dict)
        self.assertEqual(len(group_lights), 1)
        self.assertIn('light', group_lights)

        group_lights = group.get_lights(with_group_prefix=True)
        self.assertIsInstance(group_lights, dict)
        self.assertEqual(len(group_lights), 1)
        self.assertIn('test/light', group_lights)