![]() While in Visual Studio Code you normally have a set of projects that may depend on each other, in P圜harm you have a single project that consists of a set of modules. This means that you can work with only one project at a time. ![]() The first thing you'll notice when launching P圜harm is that it has no workspace concept. In P圜harm, you can configure that by enabling or disabling the Do not step into library scripts checkbox in Settings | Build, Execution, Deployment | Debugger | Stepping. When omitted or set to true, debugging is restricted to user-written code only. For information, refer to Run/debug configurations. However, you may want to specify other execution options. When debugging, the Debug console is opened by default. In P圜harm, code is usually executed in the Run tool window. consoleĬonsole to use for running or debugging the program. Path to dotenv file with environment variables.Ĭopy the environment variables from the specified file to the Environment variables field. Specify the environment variables in the Environment variables field. For information, refer to Pass parameters to the running script. In this field, you can use macros which correspond to variables in Visual Studio Code configuration files. ![]() Specify the arguments in the Script parameters field. argsĪrguments passed to the program when running or debugging it. Specify it in the Working directory field. cwdĬurrent working directory for finding dependencies and other files. Then specify the path to the Python script or the module name to be executed. Select a type of target to run from the dropdown. programĮxecutable or file to run when the configuration is launched. For information, refer to Attach to process. If your configuration contains "request": "attach", you cannot create a similar run/debug configuration in P圜harm. Specifies whether to launch a program in debug mode or attach the debugger to an already running program.įor "request": "launch", you do not need to set any configuration parameters. Select the corresponding type when creating the configuration. Here is how the most common launch.json attributes can be converted into parameters when creating a run/debug configuration: name Specify the run/debug configuration parameters in accordance with the configuration in launch.json. The list shows the run/debug configuration templates. In the Run/Debug Configuration dialog, click on the toolbar or press Alt+Insert. ![]() Alternatively, click in the Run widget and select Edit Configurations from the drop-down menu. You will need to create a run/debug configuration for your project manually: You can also create a virtualenv environment using requirements.txt.įor pipenv environments, enable the Install packages from Pipfile checkbox when creating the environment, or create an environment using the Pipfile.įor Poetry environments, enable the Install packages from pyproject.toml checkbox when creating the environment, or create an environment using pyproject.toml.Īt the moment, P圜harm doesn't support importing run/debug configurations from launch.json. If the imported project does not contain a virtual environment, you can configure a new Python interpreter, and then install the required packages for it:įor conda and virtualenv environments, you can install the required packages from requirements.txt. If no environment is detected, P圜harm sets up the system interpreter for the project.įor information about configuring other types of Python interpreters, refer to one of the following sections:Ĭonfigure an interpreter using Docker Compose If detected, the virtualenv interpreter is configured automatically. P圜harm searches for a virtual environment in the source directory. If you have another project open, specify whether you want the new project to be opened in a separate window or close the current project and reuse the existing window. Note that applications created externally are marked with the regular directory icon. In the dialog that opens, select the directory that contains the desired source code. To import a Python project created in Visual Studio Code, just open the project directory in P圜harm:
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