def print_object_names():
global data_box
data_box.delete(1.0, END)
objs = The_Agent().controller().objects_currently_in_world()
data_box.insert(END, "***Objects in the world*** \n")
for obj in objs:
data_box.insert(END, obj + "\n")
def resume_planning(do_planning_button):
if Shared.currently_planning:
do_planning_button["text"] = "Resume Random Planning"
Shared.currently_planning = False
elif not Shared.currently_learning and not Shared.currently_planning:
Shared.currently_planning = True
do_planning_button["text"] = "Pause Random Planning"
The_Agent().plan()
def reset_vis():
canvas.delete(ALL)
canvas.create_line(X(Shared.LEFT_WALL), Y(Shared.FAR_WALL), X(Shared.RIGHT_WALL), Y(Shared.FAR_WALL))
canvas.create_line(X(Shared.LEFT_WALL), Y(Shared.NEAR_WALL), X(Shared.RIGHT_WALL), Y(Shared.NEAR_WALL))
canvas.create_line(X(Shared.LEFT_WALL), Y(Shared.FAR_WALL), X(Shared.LEFT_WALL), Y(Shared.NEAR_WALL))
canvas.create_line(X(Shared.RIGHT_WALL), Y(Shared.FAR_WALL), X(Shared.RIGHT_WALL), Y(Shared.NEAR_WALL))
cur_state = The_Agent().controller().get_current_state().get_quantitative_state()
Shared.currently_drawing.acquire()
Shared.drawing_queue.put(cur_state)
Shared.currently_drawing.release()
def resume_learning(resume_learning_button):
if Shared.currently_learning and not Shared.pause_learning:
#Currently learning and have not tried to pause. Assume the learning should be paused.
resume_learning_button["text"] = "Resume Learning"
Shared.pause_learning = True
elif not Shared.currently_learning and not Shared.currently_planning:
Shared.currently_learning = True
#Currently not learning. Assume learning should resume.
resume_learning_button["text"] = "Pause Learning"
The_Agent().learn()
def manual_move_place(place):
if not Shared.currently_planning and not Shared.currently_learning and not Shared.showing_example:
x, y = [int(num) for num in place.split(',')]
The_Agent().controller().do_move_to_place((x, y))
def manual_move_target(target):
if not Shared.currently_planning and not Shared.currently_learning and not Shared.showing_example:
The_Agent().controller().do_move_action_on_target(target)
def manual_hit_random():
if not Shared.currently_planning and not Shared.currently_learning and not Shared.showing_example:
The_Agent().controller().do_hit_action_on_random()
def manual_ungrasp():
if not Shared.currently_planning and not Shared.currently_learning and not Shared.showing_example:
The_Agent().controller().do_ungrasp_action()
def show_next_example():
if not Shared.currently_planning and not Shared.currently_learning and not Shared.showing_example:
The_Agent().show_next_example()
def test_constraints(text_widget):
if not Shared.currently_planning and not Shared.currently_learning and not Shared.showing_example:
#Shared.currently_planning = True
text = text_widget.get(1.0, END) #What should the parameters be?
constraints = extract_effects(text)
The_Agent().find_place(constraints)
def hand_at_plan():
goal = Fact("+hand_at", [(74, 65)])
The_Agent().plan_for_goals([goal])
def make_plan(text_widget):
if not Shared.currently_planning and not Shared.currently_learning and not Shared.showing_example:
#Shared.currently_planning = True
text = text_widget.get(1.0, END) #What should the parameters be?
goals = extract_effects(text)
The_Agent().plan_for_goals(goals)
def knowledge_file():
if not Shared.currently_planning and not Shared.currently_learning:
The_Agent().make_knowledge_file()
def sim_reset():
if not Shared.currently_planning and not Shared.currently_learning:
The_Agent().controller().reset()
reset_vis()
def print_state():
print("=======CURRENT STATE OF WORLD=======")
qual_state = The_Agent().controller().get_current_state()
for fact in qual_state.get_qualitative_facts() + qual_state.facts_for_place(((qual_state.hand_quant_x(), qual_state.hand_quant_y()), "Current")):
print(fact)
print("====================================")