ROS与Python入门教程-actionlib-开发简单的action服务端
ROS与Python入门教程-actionlib-开发简单的action服务端
说明
- 使用simple_action_server库创建Python的Fibonacci(斐波那契数列)action服务端
- 计算Fibonacci数列的顺序,得到计算后的数列
介绍
- 了解actionlib,查看actionlib_tutorials
- 访问代码库
- actionlib_tutorials/simple_action_servers/fibonacci_server.py
代码
#! /usr/bin/env python
import roslib; roslib.load_manifest('actionlib_tutorials')
import rospy
import actionlib
import actionlib_tutorials.msg
class FibonacciAction(object):
# create messages that are used to publish feedback/result
_feedback = actionlib_tutorials.msg.FibonacciFeedback()
_result = actionlib_tutorials.msg.FibonacciResult()
def __init__(self, name):
self._action_name = name
self._as = actionlib.SimpleActionServer(self._action_name, actionlib_tutorials.msg.FibonacciAction, execute_cb=self.execute_cb, auto_start = False)
self._as.start()
def execute_cb(self, goal):
# helper variables
r = rospy.Rate(1)
success = True
# append the seeds for the fibonacci sequence
self._feedback.sequence = []
self._feedback.sequence.append(0)
self._feedback.sequence.append(1)
# publish info to the console for the user
rospy.loginfo('%s: Executing, creating fibonacci sequence of order %i with seeds %i, %i' % (self._action_name, goal.order, self._feedback.sequence[0], self._feedback.sequence[1]))
# start executing the action
for i in xrange(1, goal.order):
# check that preempt has not been requested by the client
if self._as.is_preempt_requested():
rospy.loginfo('%s: Preempted' % self._action_name)
self._as.set_preempted()
success = False
break
self._feedback.sequence.append(self._feedback.sequence[i] + self._feedback.sequence[i-1])
# publish the feedback
self._as.publish_feedback(self._feedback)
# this step is not necessary, the sequence is computed at 1 Hz for demonstration purposes
r.sleep()
if success:
self._result.sequence = self._feedback.sequence
rospy.loginfo('%s: Succeeded' % self._action_name)
self._as.set_succeeded(self._result)
if __name__ == '__main__':
rospy.init_node('fibonacci')
FibonacciAction(rospy.get_name())
rospy.spin()
代码分析
代码:
import actionlib
分析:导入actionlib库
代码:
import actionlib_tutorials.msg
分析:导入生成的消息,action会生成用于发送目标,接受反馈的消息。
代码:
self._as = actionlib.SimpleActionServer(self._action_name, actionlib_tutorials.msg.FibonacciAction, execute_cb=self.execute_cb, auto_start = False)
self._as.start()
分析:SimpleActionServer创建服务端,需4个参数:action_name、action type、callback函数(可选)、auto_start
代码:
def execute_cb(self, goal):
r = rospy.Rate(1)
success = True
# append the seeds for the fibonacci sequence
self._feedback.sequence = []
self._feedback.sequence.append(0)
self._feedback.sequence.append(1)
# publish info to the console for the user
rospy.loginfo('%s: Executing, creating fibonacci sequence of order %i with seeds %i, %i' % (self._action_name, goal.order, self._feedback.sequence[0], self._feedback.sequence[1]))
分析:定义回调函数,当新目标到达,rospy.loginfo 输出相关信息,可知道正在执行的action.
代码:
# start executing the action
for i in xrange(1, goal.order):
# check that preempt has not been requested by the client
if self._as.is_preempt_requested():
rospy.loginfo('%s: Preempted' % self._action_name)
self._as.set_preempted()
success = False
- 分析:
- action服务端重要功能是可以让action客户端可以取消请求。
- 当客户端替换了目标,服务器端应该取消目标,执行清除,调用set_preempted。
- 服务端会每秒执行检测客户端是否取消。
- 代码:
self._feedback.sequence.append(self._feedback.sequence[i] + self._feedback.sequence[i-1])
# publish the feedback
self._as.publish_feedback(self._feedback)
分析:Fibonacci 数列放入反馈变量里,发布反馈。
代码:
if success:
self._result.sequence = self._feedback.sequence
rospy.loginfo('%s: Succeeded' % self._action_name)
self._as.set_succeeded(self._result)
- 分析:当服务器端完成计算,调用set_succeeded通知客户端,目标已经完成。
启动服务器端
python fibonacci_server.py
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