bt2img.py

#!/usr/bin/python3
# Copyright (c) 2019 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
 
# This tool converts a behavior tree XML file to a PNG image. Run bt2img.py -h
# for instructions
 
import argparse
import xml.etree.ElementTree
 
import graphviz  # pip3 install graphviz
 
control_nodes = [
    'Fallback',
    'Parallel',
    'ReactiveFallback',
    'ReactiveSequence',
    'Sequence',
    'SequenceWithMemory',
    'BlackboardCheckInt',
    'BlackboardCheckDouble',
    'BlackboardCheckString',
    'ForceFailure',
    'ForceSuccess',
    'Inverter',
    'Repeat',
    'Subtree',
    'Timeout',
    'RecoveryNode',
    'PipelineSequence',
    'RoundRobin',
    'Control',
]
action_nodes = [
    'AlwaysFailure',
    'AlwaysSuccess',
    'SetBlackboard',
    'ComputePathToPose',
    'FollowPath',
    'BackUp',
    'Spin',
    'Wait',
    'ClearEntireCostmap',
    'ReinitializeGlobalLocalization',
    'Action',
]
condition_nodes = [
    'IsStuck',
    'GoalReached',
    'initialPoseReceived',
    'GoalUpdated',
    'DistanceTraveled',
    'TimeExpired',
    'TransformAvailable',
    'Condition',
]
decorator_nodes = [
    'Decorator',
    'RateController',
    'DistanceController',
    'SpeedController',
]
subtree_nodes = [
    'SubTree',
]
 
global xml_tree
 
 
def main():
    global xml_tree
    args = parse_command_line()
    xml_tree = xml.etree.ElementTree.parse(args.behavior_tree)
    root_tree_name = find_root_tree_name(xml_tree)
    behavior_tree = find_behavior_tree(xml_tree, root_tree_name)
    dot = convert2dot(behavior_tree)
    if args.legend:
        legend = make_legend()
        legend.format = 'png'
        legend.render(args.legend)
    dot.format = 'png'
    if args.save_dot:
        print(f'Saving dot to {args.save_dot}')
        args.save_dot.write(dot.source)
    dot.render(args.image_out, view=args.display)
 
 
def parse_command_line():
    parser = argparse.ArgumentParser(
        description='Convert a behavior tree XML file to an image'
    )
    parser.add_argument(
        '--behavior_tree',
        required=True,
        help='the behavior tree XML file to convert to an image',
    )
    parser.add_argument(
        '--image_out',
        required=True,
        help='The name of the output image file. Leave off the .png extension',
    )
    parser.add_argument(
        '--display',
        action='store_true',
        help='If specified, opens the image in the default viewer',
    )
    parser.add_argument(
        '--save_dot',
        type=argparse.FileType('w'),
        help='Saves the intermediate dot source to the specified file',
    )
    parser.add_argument('--legend', help='Generate a legend image as well')
    return parser.parse_args()
 
 
def find_root_tree_name(xml_tree):
    return xml_tree.getroot().get('main_tree_to_execute')
 
 
def find_behavior_tree(xml_tree, tree_name):
    trees = xml_tree.findall('BehaviorTree')
    if len(trees) == 0:
        raise RuntimeError('No behavior trees were found in the XML file')
 
    for tree in trees:
        if tree_name == tree.get('ID'):
            return tree
 
    raise RuntimeError(f'No behavior tree for name {tree_name} found in the XML file')
 
 
# Generate a dot description of the root of the behavior tree.
def convert2dot(behavior_tree):
    dot = graphviz.Digraph()
    root = behavior_tree
    parent_dot_name = str(hash(root))
    dot.node(parent_dot_name, root.get('ID'), shape='box')
    convert_subtree(dot, root, parent_dot_name)
    return dot
 
 
# Recursive function. We add the children to the dot file, and then recursively
# call this function on the children. Nodes are given an ID that is the hash
# of the node to ensure each is unique.
def convert_subtree(dot, parent_node, parent_dot_name):
    if parent_node.tag == 'SubTree':
        add_sub_tree(dot, parent_dot_name, parent_node)
    else:
        add_nodes(dot, parent_dot_name, parent_node)
 
 
def add_sub_tree(dot, parent_dot_name, parent_node):
    root_tree_name = parent_node.get('ID')
    dot.node(parent_dot_name, root_tree_name, shape='box')
    behavior_tree = find_behavior_tree(xml_tree, root_tree_name)
    convert_subtree(dot, behavior_tree, parent_dot_name)
 
 
def add_nodes(dot, parent_dot_name, parent_node):
    for node in list(parent_node):
        label = make_label(node)
        dot.node(
            str(hash(node)),
            label,
            color=node_color(node.tag),
            style='filled',
            shape='box',
        )
        dot_name = str(hash(node))
        dot.edge(parent_dot_name, dot_name)
        convert_subtree(dot, node, dot_name)
 
 
# The node label contains the:
# type, the name if provided, and the parameters.
def make_label(node):
    label = "< <table border='0' cellspacing='0' cellpadding='0'>"
    label += f"<tr><td align='text'><i>{node.tag}</i></td></tr>"
    name = node.get('name')
    if name:
        label += f"<tr><td align='text'><b>{name}</b></td></tr>"
 
    for param_name, value in node.items():
        label += f"<tr><td align='left'><sub>{param_name}={value}</sub></td></tr>"
    label += '</table> >'
    return label
 
 
def node_color(node_type):
    if node_type in control_nodes:
        return 'chartreuse4'
    if node_type in action_nodes:
        return 'cornflowerblue'
    if node_type in condition_nodes:
        return 'yellow2'
    if node_type in decorator_nodes:
        return 'darkorange1'
    if node_type in subtree_nodes:
        return 'darkorchid1'
    # else it's unknown
    return 'grey'
 
 
# creates a legend which can be provided with the other images.
def make_legend():
    legend = graphviz.Digraph(graph_attr={'rankdir': 'LR'})
    legend.attr(label='Legend')
    legend.node('Unknown', shape='box', style='filled', color='grey')
    legend.node(
        'Action', 'Action Node', shape='box', style='filled', color='cornflowerblue'
    )
    legend.node(
        'Condition', 'Condition Node', shape='box', style='filled', color='yellow2'
    )
    legend.node(
        'Control', 'Control Node', shape='box', style='filled', color='chartreuse4'
    )
 
    return legend
 
 
if __name__ == '__main__':
    main()