Usually the developer can use Softbanks own software Choreography to give programs to Pepper robot.
Isn't there a way to setup a different development environment? e.g. Access via SSH and creating Python scripts with a simple text editor and starting the script manually? It means writing and starting Python scripts for Pepper without using Choreography.
You can also use qibuild (pip install qibuild) : https://github.com/aldebaran/qibuild
It contains a qipkg command, just run
qipkg deploy-package path/to/your/file.pml --url USER#IP:/home/nao
A pml file is a project, it is created by Choregraph, or you can use this tool :
https://github.com/pepperhacking/robot-jumpstarter
in order to get a sample app.
Of course, using Choregraphe is not an obligation, you can use the different SDKs directly.
You can for instance create a python script on your computer, copy it on the robot
scp path/to/script/myscript.py nao#robotIp
And then ssh onto the robot and launch the script
ssh nao#robotIp
python myscript.py
You can also ssh onto the robot, create a script (using nano for instance) and launch it from there.
I've been using Pycharm Pro for 6 months and I am happy with it. You get automatic deployment and remote debugging. The most basic setup must still be done with Choregraphe, but it takes less than one minut.
Related
I want to run my bat file on windows with the help of GCP Composer, but i am not sure if we can communicate with windows machine as composer is fully based on linux environment. Please help me if you have any solution.
There are a couple possible solutions described in this thread, basically:
Installing ssh into your Windows machine and then connecting to run commands remotely using the Airflow’s ssh operator.
Install a package like pywinrm, which allows you to run Windows commands on a target machine from Python code. Then, use the Python operator, within your DAG, to make the call. You may refer to the GCP documentation for steps on installing additional Python packages in Composer.
I am stuck in a technical issue on a project and I think you the forum could help me out.
I have an EC2 Instance Type:p2.xlarge running on AWS, I cloned a repository in this instance which requires pytorch and cuda dependencies(this point has been taken care of).
Now, The issue is that I wanna work & run this code-base(which is is AWS instance now) somehow in my local pyCHARM IDE. In short, I didn't have proper resources on my laptop to run the repository, so I have to run in an AWS instance but for debugging purposes the local IDE would be a great option.
Is it possible to do that?. In other words, we can do SSH into AWS instance and run code, but all will be done through command line, if we could SSH through PYCHARM and can see the code in AWS here in local machine within PYCHARM and change, debug or run it as it was local but actually it gets executed in the instance.
Please suggest a solution to it.
Thanks in advance.
EDIT-1:
After following, #Cromulent suggestion, I have arrived here
Setting the remote:
Upload happening within the local & remote repo.
I still didn't understand the requirement of syncing the local and remote folders, when I only want to open the remote folder in my PYCHARM IDE and work on it.
I think after this setup, I have to change the code in local copy and the PYCHARM will sync the code in remote copy. How will I be running(using resources-GPUs of the remote Instance, not my local machine.) the remote code in PYCHARM in this scenario, I am just syncing it, for running again I have to ssh through command line and run the script(This does not serve the purpose)?
EDIT-2:
After #Cromulent suggestions.
Actually, it did work, but still, I am not able to run the remote code locally.
I am getting the below error while running any remote script. If I run the same script using ssh in the terminal, the scripts run normally. I tried to fix the problem using this post on StackOverflow, but it didn't work too.
ssh://ubuntu#ec2-52-41-247-169.us-west-2.compute.amazonaws.com:22/home/ubuntu/anaconda3/bin/python -u <08ad9807-3477-4916-96ce-ba6155e3ff4c>/home/ubuntu/InsightProject/scripts/download_flownet2.py
/home/ubuntu/anaconda3/bin/python: can't open file '<08ad9807-3477-4916-96ce-ba6155e3ff4c>/home/ubuntu/InsightProject/scripts/download_flownet2.py': [Errno 2] No such file or directory
The below is the screenshot for the above problem:
PyCharm Professional supports remote Python interpreters (either the globally installed Python interpreter or a virtualenv). It works by creating an SSH connection to the server and then running the code on the remote host. The results are then displayed locally in PyCharm Professional. You can also do remote debugging as well.
You MUST be using the professional version of PyCharm though. The free community version does not support this feature.
You can find the documentation here:
https://www.jetbrains.com/help/pycharm/configuring-remote-interpreters-via-ssh.html
One more solution is to deploy a Jupyter Notebook on your remote server. Then you will be able to use it from PyCharm Professional Edition.
Don't forget to make rules for the jupyter ports (e.g. allow all 8888) in your AWS console and in your instance.
To configure a remote interpreter for your notebook do this (source):
Open the Jupyter Notebook page of the Settings/Preferences dialog.
On this page, select or clear the Markdown cells rendering enabled option, and specify the username and password. Note that for the
single-user notebooks these fields are optional - leave them blank.
Fill in the username (for JupyterHub) and password.
Click the link Configure remote interpreter. You'll find yourself at the Project Interpreter page.
Configure the remote interpreter, as described in the section Configuring Python Interpreter.
You will want to configure a remote interpreter.
I tried the above approach but it didn't work for me. I have edited my post so that I can get additional input from the community, but I didn't any after the first answer was posted.
My friend actually figured out a secondary way to fix the issue. He actually uses "NOMACHINE" on the local machine and open connection to the remote desktop. Then you can directly install PYCHARM in the remote machine and work in there. I hope this will help others.
The solution is in his blog post. (Thanks to Shaobo Guan)
Another solution would be to use VNC instead of NoMachine
I create a python GUI by PyQt4, and now I'm trying to save this program into Google Cloud Platform(Compute engine) so that I can remotely execute it. But after I execute my python program, there's a problem showed up, the console showed the message :"cannot connect to X server". I also try to run with "xvfb-run python GUI.py", although it started to run but the graphical user interface didn't showed up, is there any suggestion? Thanks in advance!
In order to run a GUI application remotely on a Linux/Unix box, you need to have a X server running on your local machine and ready to accept a connection. Easiest way to do this is to SSH in and enable X11Forwarding either in your client config, your personal version of the client config, or on the command line (ie, the -X or -Y options).
Us Linux folks already have an X server, as do them BSD folks. Mac users can install it and it integrates quite nicely on OS X. Windows users need to either pay some $ and buy a license for a commercial product, or use cygwin-x.
I have python script that I run on my cmd local machine.
now I want to run it also on a remote server(Windows)
How can I do it?
It is possible using ssh. Python accepts hyphen(-) as argument to execute the standard input,
cat hello.py | ssh user#192.168.1.101 python -
Run python --help for more info.
You can use the ssh approach, but also the PSEXEC approach which is easier to use, although you may need admin privileges on the server to execute processes and both windows machines better share the same user/password.
Download PsExec from here
https://technet.microsoft.com/en-us/sysinternals/bb896649
Run as follows:
psexec /ACCEPTEULA \\servermachine python fullpath_to\python_script.py
fullpath_to\python_script.py should be accessible from the server. If not, you have to copy it first here, or just put the script on a shared/networked drive visible by both machines.
Of course python must be installed on the server as well.
I'm not saying it is the best way. Jenkins is a good way to run stuff on a given server. But it does the job.
I have a lab system (with a hardware piece attached to it) which has some python test scripts. The test script sends commands to the attached hardware and receives response.
I don't want to work on the lab computer all the time. Currently, I'm using SSH from my local machine to the lab computer and using the shell to modify the scripts, run the commands etc. Using nano is cumbersome especially while debugging. I want to use an IDE (Pycharm) on my local machine in order to edit and run the scripts on the remote server. Pycharm has remote interpreters which uses the remote python but I want to be able to access and modify the scripts too, just like SSH from terminal.
How can I do that?
PyCharm (Professional Edition only) is also capable of Deployments. You can upload/download files via SFTP directly within Pycharm and run your scripts remotely.
You can visit the following pages for further instructions on how to set everything up:
Setting up a deployment
Configuring a remote interpreter
Yes, PyCharm Professional Edition can do this. Since PyCharm 2018.1 setting up a remote interpreter also automatically sets up deployment. If you have automatic deployments configured (Tools | Deployment | Automatic Deployment) all changes will automatically be uploaded to your SSH box.
See here for a tutorial on configuring an SSH box in PyCharm Professional Edition: https://blog.jetbrains.com/pycharm/2018/04/running-flask-with-an-ssh-remote-python-interpreter/