I want to debug my Django code running through docker container. Is it possible with PDB, PYCHARM debugger or with another technique?
It was made possible in pycharm pro 2017.1 and up.
https://www.jetbrains.com/help/pycharm/docker.html
Good luck!
Ofcourse its possible, with any remote debugger (quick Google search - https://pypi.python.org/pypi/remote-pdb) you just need to take care of networking and connect to the debugger's port (e.g. docker run -p ...)
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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
Hello and thank your for your time
i have a big Django project and i'm developing it in PyCharm on Windows. Right now i need to use smart queries, so i want to add Celery on it. The main problem, that celery dropped support for Windows since v4.0. So my questions is:
1) How can i use rabbit/celery on windows?
2) I have some old answer, that suggest to use old version, that has support for windows, but maybe it has some way with virtual box or other staff to lanch it on windows?
You can use Docker to run your Celery, there is an official image in Docker Hub: https://hub.docker.com/_/celery/
It will take some time to learn how to use Docker though. But it's definitely worth it.
You could use Vagrant, but in this case you will have to spend some time to configure your Celery environment, at least I didn't find existing Celery Vagrant Box you could use in your project.
I am trying to figure out why my Travis CI tests fail here. It looks like an infinite loop in one of the programs and I'm eager to run gdb there and take a look inside. I assume that the Travis instance is behind NAT, so just connecting to a GDB server would be complicated. Is there a way to make the gdb server connect to me? Do I have any alternatives?
Here's what I found:
https://github.com/fniephaus/travis-remote-shell
This is a project that uses Ngrok to open a TCP port and then creates a reverse shell there. I hadn't tried it though.
My app is running inside a docker image (My development team never install software in their machines, only the docker images have the dependencies).
I Need to debug something using pycharm debugger, how do I connect pycharm's debugger to the docker image's python?
One possible method is to treat your Docker container as a remote host and use remote debugging: https://www.jetbrains.com/pycharm/help/remote-debugging.html
I am very new to plone. I have a project folder in eclipse. I have imported it from the cvs project. I have zope as server and I start zope with ./bin/instance restart. When I make changes in my folder, I cannot see the changes in the development website. I can't seem to find what is happening. I even restarted zope after making changes in python. Can anyone help me with this?
Make sure you start your Zope server with bin/instance fg, most likely the name of the script if you used the Plone universal installer buildout.
To see changes in python code you'll either need to restart the server (CTRL-C then start again) or use something like plone.reload to request a reload of changed code.
When starting your server with the fg command, it is automatically running in debug mode and any templates, resources and skin items are reloaded automatically. Start the server with console or start and it'll run in production mode and templates and such are loaded from disk only once.
See the Plone.org documentation on buildout for more information.
The bin/instance command has a built-in help command, try:
bin/instance help
for a list of supported commands or run:
bin/instance help console
to get help on a specific command; the above example will print the help on the console command.