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tried eval srv still not working

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This commit is contained in:
Niko Feith 2023-03-27 15:55:47 +02:00
parent eee0d0e8e1
commit 76b8f5e2d2
3 changed files with 56 additions and 39 deletions
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3
src/active_bo_msgs/CMakeLists.txt
View File

@ -25,8 +25,9 @@ rosidl_generate_interfaces(${PROJECT_NAME}
"srv/BO.srv"
"srv/ActiveBO.srv"
"srv/ActiveRL.srv"
"srv/ActiveRLEval.srv"
"msg/ImageFeedback.msg"
"msg/ActiveRLEval.msg"
)
if(BUILD_TESTING)

17
src/active_bo_ros/active_bo_ros/active_bo_service.py
View File

@ -13,10 +13,12 @@ import numpy as np
class ActiveBOService(Node):
def __init__(self):
super().__init__('active_bo_service')
self.srv = self.create_service(ActiveBO, 'active_bo_srv', self.active_bo_callback)
self.active_bo_srv = self.create_service(ActiveBO, 'active_bo_srv', self.active_bo_callback)
self.active_rl_client = self.create_client(ActiveRL, 'active_rl_srv')
self.rl_trigger_ = False
self.env = Continuous_MountainCarEnv()
self.distance_penalty = 0
@ -54,9 +56,18 @@ class ActiveBOService(Node):
arl_request.old_policy = old_policy.tolist()
arl_request.old_weights = old_weights.tolist()
arl_response = self.active_rl_client.call(arl_request)
future_rl = self.active_rl_client.call_async(arl_request)
BO.add_new_observation(arl_response.reward, arl_response.new_weights)
while rclpy.ok():
rclpy.spin_once(self)
if future_rl.done():
try:
arl_response = future_rl.result()
self.get_logger().info('active RL Response: %s' % arl_response)
BO.add_new_observation(arl_response.reward, arl_response.new_weights)
except Exception as e:
self.get_logger().error('active RL Service failed %r' % (e,))
break
# BO part
else:

75
src/active_bo_ros/active_bo_ros/active_rl_service.py
View File

@ -1,6 +1,6 @@
from active_bo_msgs.srv import ActiveRL
from active_bo_msgs.msg import ImageFeedback
from active_bo_msgs.msg import ActiveRLEval
from active_bo_msgs.srv import ActiveRLEval
import rclpy
from rclpy.node import Node
@ -17,37 +17,41 @@ class ActiveRLService(Node):
def __init__(self):
super().__init__('active_rl_service')
srv_callback_group = ReentrantCallbackGroup()
sub_callback_group = ReentrantCallbackGroup()
eval_callback_group = ReentrantCallbackGroup()
self.srv = self.create_service(ActiveRL,
'active_rl_srv',
self.active_rl_callback,
callback_group=srv_callback_group)
self.rl_srv = self.create_service(ActiveRL,
'active_rl_srv',
self.active_rl_callback,
callback_group=srv_callback_group)
self.publisher = self.create_publisher(ImageFeedback, 'rl_feedback', 1)
self.eval_pub = self.create_publisher(ActiveRLEval, 'active_rl_eval_request', 1)
self.eval_sub = self.create_subscription(ActiveRLEval,
'active_rl_eval_response',
self.active_rl_eval_callback,
10,
callback_group=sub_callback_group)
self.eval_response_received = False
self.eval_response = None
self.eval_response_received_first = False
self.active_rl_eval_client = self.create_client(ActiveRLEval,
'active_rl_eval_srv',
callback_group=eval_callback_group)
# self.eval_pub = self.create_publisher(ActiveRLEval, 'active_rl_eval_request', 1)
# self.eval_sub = self.create_subscription(ActiveRLEval,
# 'active_rl_eval_response',
# self.active_rl_eval_callback,
# 10,
# callback_group=sub_callback_group)
# self.eval_response_received = False
# self.eval_response = None
# self.eval_response_received_first = False
self.env = Continuous_MountainCarEnv(render_mode='rgb_array')
self.distance_penalty = 0
def active_rl_eval_callback(self, response):
# if not self.eval_response_received_first:
# self.eval_response_received_first = True
# self.get_logger().info('/active_rl_eval_response connected!')
# else:
# self.eval_response = response
# self.eval_response_received = True
self.eval_response = response
self.eval_response_received = True
# def active_rl_eval_callback(self, response):
# # if not self.eval_response_received_first:
# # self.eval_response_received_first = True
# # self.get_logger().info('/active_rl_eval_response connected!')
# # else:
# # self.eval_response = response
# # self.eval_response_received = True
# self.eval_response = response
# self.eval_response_received = True
def active_rl_callback(self, request, response):
@ -58,9 +62,9 @@ class ActiveRLService(Node):
old_policy = request.old_policy
old_weights = request.old_weights
eval_request = ActiveRLEval()
eval_request.policy = old_policy
eval_request.weights = old_weights
eval_request = ActiveRLEval.Request()
eval_request.old_policy = old_policy
eval_request.old_weights = old_weights
self.env.reset()
@ -91,16 +95,17 @@ class ActiveRLService(Node):
break
self.get_logger().info('Enter new solution!')
self.eval_pub.publish(eval_request)
# self.eval_pub.publish(eval_request)
#
# while not self.eval_response_received:
# rclpy.spin_once(self)
while not self.eval_response_received:
rclpy.spin_once(self)
eval_response = self.active_rl_eval_client.call(eval_request)
self.get_logger().info('Active RL Eval Srv started!')
new_policy = eval_response.new_policy
new_weights = eval_response.new_weights
self.get_logger().info('Topic responded!')
new_policy = self.eval_response.policy
new_weights = self.eval_response.weights
self.eval_response_received = False
self.eval_response = None
reward = 0
step_count = 0