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To run a script file with debugging enabled, but without waiting for the client to attach (i.e. Optionally, you can pass arguments to the Python script by adding them to arguments after the name of the script:Ĭlick the Run icon ( ⌘R) and select the configuration.This debugger implements the Debug Adapter Protocol: debugProtocol.json debugpy CLI Usage Debugging a script file JetBrains Fleet inserts a Python run configuration template, where you need to specify the configuration name in name, and the Python script to be executed in arguments: JetBrains Fleet provides completion for available configuration options as you type them in the run.json file. Create a run configurationĬlick the Run icon ( ⌘R) and select Create Run Configurations in run.json. It allows you to customize the startup: add arguments, Python interpreter options, use custom commands, and so on. The results of script execution are shown in the bottom panel.Īs mentioned before, another way to run a program is to use a run configuration. Navigate to the entry point of your application and click the run icon in the gutter. For that, you can use a gutter icon in the editor, or you can create a run configuration that will allow you to fine-tune the way your application should be run. With Smart Mode enabled, you can run your project. Use inlay hints navigate to usages and hierarchy members. Navigate to the declaration of a symbol with ⌘B. Place the caret at a literal or select an expression, press ⌃R, and enter the new name for the variable. Press ⌥↵ to access actions that Fleet suggests in the current context. The below is not an exhaustive list of Smart Mode features, rather a couple of examples that'll help you to get the feel of how it works in Fleet. In the top-right corner of the window, click Smart Mode, then Enable.Īfter you click the Enable button, you may have to wait for some time, while the backend is being prepared. #Python script debugger codeHowever, if you need code intelligence features, you can enable them by turning the Smart Mode on. You can use JetBrains Fleet as a smart text editor, rather than a full-fledged IDE. Select one of the previously configured Python interpretersĬlick Add, and then specify the path to a Python executable. ![]() Then click the Python drop-down in the Toolchains | Python section: Press ⌘, and switch to the tab with the project settings. Configure a Python interpreter for the workspaceĬlick the Python interpreter selector in the bottom-right corner of the JetBrains Fleet window: Otherwise, you can configure a Python interpreter manually as described below. In Smart mode, which will be covered later, JetBrains Fleet automatically detects a virtual environment and configures a Python interpreter if your project workspace contains any of the following: The workspace is added to list of the recently viewed workspaces. ![]() The directory content appears in the Files panel. In the file browser, navigate to the folder containing your code and click Open. Press ⌘O or select File | Open from the menu. You can open an existing project or start a new project by opening an empty directory. It contains the project files and settings. Workspace is the directory where your project resides. #Python script debugger installIn JetBrains Toolbox, click Install near the JetBrains Fleet icon. Make sure you are logged in JetBrains Toolbox under your JetBrains Account. #Python script debugger fullBecause of restrictions on Microsoft Store apps, Python scripts may not have full write access to shared locations such as TEMP and the registry. Note that interpreters added from the Microsoft Store installations come with some limitations. If you are on Windows, you can download Python from the Microsoft Store. #Python script debugger software downloadInstalling software Download and install Pythonĭownload the version of Python that corresponds to your operating system: ![]() venv/ or venv/ directories, projects that contain Pipfile or Poetry pyproject.toml files Supported Python versions: 2.7 and from 3.6 up to the version 3.11. ![]() JetBrains Toolbox 0 or later: the Download page. It covers the installation, project setup and working with code. This tutorial gets you up to speed with Python development in JetBrains Fleet. ![]()
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