PySDF is a set of python bindings for SDFormat XML. The idea is to provide a method for working with SDF that feels as fast as (or faster than) XML, but with the added convenience of syntax highlighting, auto-completion, validation, and some degree of verification.
The current bindings read SDF from any version and will parse it into a generic representation. Modifications are not validated or verified by default, allowing for more flexibility, but methods for optional validation and verification will be added in the future.
pip install python-sdformat
The elements of the binding are grouped following the official SDF
spec with a few exceptions. This means that you can
find the item you are looking for by following the spec's nesting, e.g., the
/sensor/imu/angular_velocity/x
element has the corresponding class
pysdf.Sensor.Imu.AngularVelocity.X
and can - inside an SDF - be accessed as
parsed_sensor.imu.angular_velocity.x
. The previously mentioned exceptions to
this are:
- The bindings use
snake_case
for variable names andCamelCase
for class names - If an element may occur more than once inside its parent, its corresponding attribute
will be a tuple its name will be plural, e.g.
world.models[idx]
. - The elements
Pose
,Frame
,Plugin
, andInclude
occur frequently across several elements and promoted to the top level, i.e., you'd usepysdf.Pose
notpysdf.Model.Pose
.
Basic Reading and Writing
from pysdf import SDF
sample_sdf = """<?xml version="1.0" ?>
<sdf version="1.6">
<model name="empty_axis">
<link name="link1" />
<link name="link2" />
<joint name="joint" type="fixed">
<parent>link1</parent>
<child>link2</child>
<axis/>
</joint>
</model>
</sdf>
"""
# string round-trip
parsed = SDF.from_xml(sample_sdf)
sdf_string = parsed.to_xml()
# file round-trip
parsed.to_file("sample.sdf")
parsed = SDF.from_file("sample.sdf")
# prettify/reformat SDF to have nice indentation
parsed = SDF.from_file("sample.sdf", remove_blank_text=True)
parsed.to_file("sample.sdf", pretty_print=True)
Building SDF manually
from pysdf import SDF, Link, Joint, Model
reference_sdf = """
<sdf version="1.6">
<model name="empty_axis">
<link name="link1" />
<link name="link2" />
<joint name="joint" type="fixed">
<parent>link1</parent>
<child>link2</child>
</joint>
</model>
</sdf>
"""
element = SDF(
Model(
Link(name="link1"),
Link(name="link2"),
Joint(
Joint.Parent(text="link1"),
Joint.Child(text="link2"),
# attributes are set at the end
# because python only accepts kwargs at the end.
name="joint",
type="fixed",
),
name="empty_axis",
),
version="1.6",
)
element.to_file("sample.sdf", pretty_print=True)
Basic Modifications
from pysdf import Link, State, Model, Link
# Complex elements (with own children) are added on first read
element = Link()
element.to_xml() # "<link/>"
element.inertial
element.to_xml() # "<link><inertial/></link>"
# Simple elements (basic types) are added on first write (__set__):
element.inertial.mass
element.to_xml() # "<link><inertial/></link>"
element.inertial.mass = 5.0
element.to_xml()
# "<link><inertial><mass>5.0</mass></inertial></link>"
# default values are populated where applicable
assert element.inertial.inertia.ixx == 1.0
# Where possible types are converted automatically
element = State.Model()
element.scale # (1.0, 1.0, 1.0), tuple
element.scale = "1 2 3"
assert element.scale == (1.0, 2.0, 3.0)
element.scale = [5, 5, 5]
assert element.scale == (5.0, 5.0, 5.0)
# Inserting children works from sequences of kwargs
element = Model()
element.add(Link(name="test"))
element.add(Link(name="test2"), Link(name="test3"))
element.to_xml()
# '<model><link name="test"/><link name="test2"/><link name="test3"/><pose/></model>'
Full Modification Example
from pysdf import SDF, Link
sample_sdf = """<?xml version="1.0" ?>
<sdf version="1.6">
<model name="empty_axis">
<link name="link1" />
<link name="link2" />
<joint name="joint" type="fixed">
<parent>link1</parent>
<child>link2</child>
</joint>
</model>
</sdf>
"""
parsed = SDF.from_xml(sample_sdf, remove_blank_text=True)
model = parsed.model
model.name = "modified_model"
model.links[1].add(Link.ParticleEmitter(
Link.ParticleEmitter.Emitting(text="true"),
name="my_emitter",
type="box"
))
parsed.to_file("sample.sdf", pretty_print=True)
Iterating and Filtering
You can call element.iter()
to recursively iterate over all child elements of
a subtree (breadth-first). iter()
also accepts a filter
kwarg which allows
you to only return children that have a desired path from the caller to the
child. The filter matches the tail of the path, path elements are separated by
the /
character, and any SDF tag is a valid path element. This allows for easy
selecting and bulk editing of specific children, e.g., use filter="pose"
to
select all pose elements in a SDF or filter="model/pose"
to select all pose
elements that are direct children of a model (the model's pose).
Appologies for the long example SDF, but I thought it would be nice to demonstrate something more real-world.
from pysdf import SDF
import numpy as np
# taken from:
# https://github.com/ignitionrobotics/sdformat/blob/sdf12/test/sdf/joint_nested_parent_child.sdf
large_example = """
<sdf version="1.8">
<model name="joint_nested_parent_child">
<model name="M1">
<link name="L1">
<pose>0 0 1 0 0 0</pose>
</link>
<link name="L2">
<pose>1 1 0 0 0 0</pose>
</link>
<frame name="F1">
<pose>1 0 0 0 0 0</pose>
</frame>
<model name="M2">
<pose>0 0 1 1.570796326790 0 0</pose>
<link name="L1"/>
</model>
</model>
<link name="L1">
<pose>0 0 10 0 1.57079632679 0</pose>
</link>
<frame name="F1" attached_to="M1::L1">
<pose>1 0 0 0 0 0</pose>
</frame>
<!-- Joint with a parent link in a nested model -->
<joint name="J1" type="fixed">
<pose>1 0 0 0 0 0</pose>
<parent>M1::L1</parent>
<child>L1</child>
</joint>
<!-- Joint with a sibling parent frame which is attached to a link in a nested model -->
<joint name="J2" type="fixed">
<pose>0 1 0 0 0 0</pose>
<parent>F1</parent>
<child>L1</child>
</joint>
<!-- Joint with a child link in a nested model -->
<joint name="J3" type="fixed">
<pose>0 0 1 0 0 0</pose>
<parent>L1</parent>
<child>M1::L2</child>
</joint>
<!-- Joint with a child frame in a nested model -->
<joint name="J4" type="fixed">
<pose>0 0 1 0 0 0</pose>
<parent>L1</parent>
<child>M1::F1</child>
</joint>
<!-- Joint with a child model in a nested model -->
<joint name="J5" type="fixed">
<pose>0 0 1 0 0 0</pose>
<parent>L1</parent>
<child>M1::M2</child>
</joint>
<!-- Joint with a nested model frame as a parent -->
<joint name="J6" type="fixed">
<pose>0 0 1 0 0 0</pose>
<parent>M1::__model__</parent>
<child>L1</child>
</joint>
<!-- Joint with a nested model frame as a child -->
<joint name="J7" type="fixed">
<pose>0 0 1 0 0 0</pose>
<parent>L1</parent>
<child>M1::__model__</child>
</joint>
</model>
</sdf>
"""
# remove_blank_text strips whitespace to allow neat formatting
# later on
element = SDF.from_xml(large_example, remove_blank_text=True)
element.version = "1.9" # v1.9 supports pose/@degrees
# convert all poses to degrees
for pose in element.iter("pose"):
pose.degrees = True
pose_ndarray = np.fromstring(pose.text, count=6, sep=" ")
rotation_rad = pose_ndarray[3:]
rotation_deg = rotation_rad / (2*np.pi) * 360
pose_ndarray[3:] = rotation_deg
pose.text = " ".join(map(str, pose_ndarray))
# turn on self-collision for all links in the nested model
for link in element.iter("model/model/link"):
link.self_collide = True
# turn self-collision off (using a different syntax)
for link in element.model.iter("link"):
link.self_collide = False
# offset all links by some vector
for pose in element.iter("link/pose"):
pose_ndarray = np.fromstring(pose.text, count=6, sep=" ")
pose_ndarray[:3] += (0, 0, 1)
pose.text = " ".join(map(str, pose_ndarray))
element.to_file("sample.sdf", pretty_print=True)