It is native but can also be used with other programming languages including. Docker. This containerization tool turns your robot into a daemon. It allows your robot to run in the background and automatically restart after a system failure. It is the simplest and most compatible with different environments that we will use in this tutorial. Here are the steps to install and use the robot on Run the following command in a terminal or application to install -Install screen Run this command to create a new session of screen Use the following command in a virtual terminal to change the working directory Use the following command to start your robot.
Important! For derivative versions such as ) and ) use instead of to install.
Now the session will continue to run in the background after disconnecting from the server. To log back in open a terminal or application and type screen- It allows you to special lead create multiple sessions to run other robots using the following command screen- The session will be replaced with your session name. Using descriptive names can help you easily identify them and their processes. To list the current user’s sessions follow the steps uniqlo stores on foursquare could win prizes below screen-.Monitor and maintain robot performance After deploying the robot, monitor it regularly to ensure optimal performance.
It also helps you detect potential issues quickly before they affect the availability of the robot.
The first monitoring task is to enable the logging module to track events and errors from the robot. It provides information about the robot’s functionality making debugging and troubleshooting easier. For example, add the following code snippet to your robot file to log command execution errors to the .file and server #import logging module import data on logging #set logging set logging.level = logging.level = ‘[%) [%)]:%)’, handler = [.’.’), #save logs to file.) #display logs in console ]) Next add the following.decorator to print error messages to your server #set actions to be taken when the robot encounters an error.async __, error):_ = ‘Error occurred while processing command {}’ logging.error error message) await._) In addition, use tools such as __ to monitor the uptime of the robot.