These parameters will be used by the remote debug server to access it. Specify the port number (here 12345) and the IDE host name (here 172.20.208.95) of the machine where the IDE is running. You have to click on the toolbar, and from the list of available configurations, select Python Debug Server.Įnter the name of this run/debug configuration - let it be MyRemoteServer. The Run/debug configurations dialog opens. Create a run/debug configurationįrom the main menu, choose Run| Edit Configuration. You can also enable remote debugging with the dedicated run/debug configuration, namely, Run/Debug Configuration: Python Debug. Remote debugging with the Python remote debug server configuration Note that debugging actually takes place on the specified remote server. Right-click the editor background and choose the Debug (here Debug 'quadratic_equation'). On the Tools menu, select Deployment | Upload to MySFTPConnection.įile Transfer tool window appears. Next, your application must be deployed to the remote host. Now your deployment configuration is ready. The existing paths of the selected interpreter show up in the Interpreter Paths dialog. To check the Path Interpreter in the Project | Python Interpreter settings/preferences, expand the list of the available interpreters in Project | Python Interpreter, select Show All., and click. For this example, let's use a meaningful name for your deployment configuration, for example, "MySFTPConnection".Įnsure that the Root path value reflects the path specified in the corresponding settings of the created SSH interpreter.
You can accept all default settings or alter them, if needed. To preview it, click Ctrl+Alt+S to open the Settings dialog window on the local machine, then click the Build, Execution, Deployment node and the Deployment node. Once you create the remote interpreter for your project, the corresponding deployment configuration is created. Configure a remote interpreterĮnsure that you have SSH access to the remote machine.Īdd a new remote interpreter to the project as described in Configure an interpreter using SSH specifying the credentials to connect to the remote machine. In this example, the machine where you run your application is referenced as local, and the machine with the remote interpreter is referenced as remote.
#Pycharm debugger code
On the local machine, create a pure Python project, as described in the section Create a Python project.Īdd a Python file to this project ( Alt+Insert - Python File).Īdd the following code to the Python File:Ĭreating a deployment configuration for a remote interpreter Requirements: SSH access from the local machine to the remote server, access from the remote server to the local machine using any predefined port.īefore you start Complete the following preparation tasks: This might be helpful when you cannot explicitly run your application for debugging, or when some preparations tasks are required.
#Pycharm debugger series
Using the Python remote debug server configuration.Ĭase: Use this approach to integrate the debugging process into the series of running processes on the remote server. Requirements: SSH access from the local machine to the remote server. P圜harm provides two ways to debug remotely:Ĭase: Use this approach to leverage extended debugging capabilities available on the remote machine. With P圜harm you can debug your application using an interpreter that is located on the other computer, for example, on a web server or dedicated test machine.
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