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[ext-int] Temporarily Re-Added knowrob interface
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import logging | ||
import os | ||
import sys | ||
import rosservice | ||
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from typing_extensions import Dict, List, Union | ||
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SCRIPT_DIR = os.path.abspath(os.path.dirname(__file__)) | ||
sys.path.append(os.path.join(SCRIPT_DIR, os.pardir, os.pardir, "neem-interface", "src")) | ||
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if 'rosprolog/query' in rosservice.get_service_list(): | ||
from neem_interface_python.neem_interface import NEEMInterface | ||
from neem_interface_python.rosprolog_client import Prolog, PrologException, atom | ||
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neem_interface = NEEMInterface() | ||
prolog = Prolog() | ||
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else: | ||
logging.warning("No KnowRob services found, knowrob is not available") | ||
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#logging.setLoggerClass(logging.Logger) | ||
logger = logging.getLogger(__name__) | ||
from pycram import ch | ||
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logger.addHandler(ch) | ||
logger.setLevel(logging.DEBUG) | ||
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def all_solutions(q): | ||
logging.info(q) | ||
r = prolog.all_solutions(q) | ||
return r | ||
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def once(q) -> Union[List, Dict]: | ||
r = all_solutions(q) | ||
if len(r) == 0: | ||
return [] | ||
return r[0] | ||
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def load_beliefstate(path: str): | ||
logging.info(f"Restoring beliefstate from {path}") | ||
once(f"remember('{path}')") | ||
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def clear_beliefstate(): | ||
logging.info("Clearing beliefstate") | ||
once("mem_clear_memory") | ||
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def load_owl(path, ns_alias=None, ns_url=None): | ||
""" | ||
Example: load_owl("package://external_interfaces/owl/maps/iai_room_v1.owl", "map", "http://knowrob.org/kb/v1/IAI-Kitchen.owl#") | ||
:param str path: path to log folder | ||
:rtype: bool | ||
""" | ||
if ns_alias is None or ns_url is None: # Load without namespace | ||
q = "load_owl('{}')".format(path) | ||
else: | ||
q = "load_owl('{0}', [namespace({1},'{2}')])".format(path, ns_alias, ns_url) | ||
try: | ||
once(q) | ||
return True | ||
except PrologException as e: | ||
logging.warning(e) | ||
return False | ||
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def new_iri(owl_class: str): | ||
res = once(f"kb_call(new_iri(IRI, {owl_class}))") | ||
return res["IRI"] | ||
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def object_type(object_iri: str) -> str: | ||
""" | ||
:param object_iri: The name (identifier) of the object individual in the KnowRob knowledge base | ||
""" | ||
res = once(f"kb_call(instance_of({atom(object_iri)}, Class))") | ||
return res["Class"] | ||
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def instances_of(type_: str) -> List[str]: | ||
""" | ||
:param type_: An object type (i.e. class) | ||
""" | ||
all_sols = all_solutions(f"kb_call(instance_of(Individual, {atom(type_)}))") | ||
return [sol["Individual"] for sol in all_sols] | ||
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def object_pose(object_iri: str, reference_cs: str = "world", timestamp=None) -> List[float]: | ||
""" | ||
:param object_iri: The name (identifier) of the object individual in the KnowRob knowledge base | ||
:param reference_cs: The coordinate system relative to which the pose should be defined | ||
""" | ||
if timestamp is None: | ||
res = once(f"mem_tf_get({atom(object_iri)}, {atom(reference_cs)}, Pos, Ori)") | ||
else: | ||
res = once(f"mem_tf_get({atom(object_iri)}, {atom(reference_cs)}, Pos, Ori, {timestamp})") | ||
pos = res["Pos"] | ||
ori = res["Ori"] | ||
return pos + ori | ||
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def grasp_pose(object_iri: str) -> List[float]: | ||
query = f""" | ||
kb_call(has_grasp_point({atom(object_iri)}, GraspPointName)), | ||
mem_tf_get(GraspPointName, world, Pos, Ori) | ||
""" | ||
res = once(query) | ||
pos = res["Pos"] | ||
ori = res["Ori"] | ||
return pos + ori | ||
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def knowrob_string_to_pose(pose_as_string: str) -> List[float]: | ||
reference_frame = "" | ||
for i, char in enumerate(pose_as_string[1:-1]): | ||
if char == ",": | ||
break | ||
reference_frame += char | ||
pos, ori = pose_as_string[1+i+2:-2].split("],[") | ||
xyz = list(map(float, pos.split(","))) | ||
qxyzw = list(map(float, ori.split(","))) | ||
return xyz + qxyzw |