Preparations

Configuring the Python SDK

To meet Python code debugging requirements during application development, a Python code debugging method based on the Python Community Edition plugin is provided. The debugging preparation is as follows. Configuration of the global Python SDK is used as an example. For details, see Python SDK Settings.

1. On the top menu bar, choose File > Project Structure....
2. On the left of Project Structure, choose Platform Settings > SDKs. Then, click + and select Add Python SDK in the displayed dialog box, as shown in Figure 1.
   Figure 1 Configuring the Python SDK
   
3. In the Add Python Interpreter dialog box, select a proper Python interpreter and add it. Table 1 shows the available interpreters. Click OK.
   Figure 2 Adding a Python interpreter
   

   Table 1 Python interpreter options

   Interpreter	Description
   Virtualenv Environment	Integrates the Virtual Environment tool to create an independent virtual environment.
   Conda Environment	Uses the Python interpreter contained in Anaconda.
   System Interpreter	Specifies the local interpreter in the system.
   Pipenv Environment	Pipenv is a tool that provides all the necessary methods to create a virtual environment for Python projects.
   Poetry Environment	Uses the Poetry tool to create a virtual environment based on project dependencies.
   SSH Interpreter	Specifies a remote interpreter. You can add the Python SDK of a remote device in SSH mode and use the Deployment function to synchronize the files and folders in a specified project to a specified directory on the remote device. For details, see Ascend Deployment. (If you select this option, MindStudio remotely runs a project.)

Debugging and Building the Configuration File

1. On the top menu bar, choose Run > Edit Configurations... or click Figure 3 on the toolbar to access the run configuration page.
   Figure 3 Run configuration box
   
2. Click + in the upper left corner, select Python, and add the run and debug configurations of the file.
3. The configuration options are displayed on the right. Table 2 describes the key configuration parameters. Figure 4 shows a configuration example.
   Click Apply, and then click OK to save the settings and close the debug configuration page.

   Figure 4 Configuration options of the source file
   

   Table 2 Key debug and run parameters

   Parameter	Description
   Name	This parameter is user-defined.
   Script path	Select the path of the Python source file to be debugged.
   Python interpreter	Use SDK of module: Use a module-level Python SDK to parse data. For details, see Setting the Module-Level Python SDK (Ascend Project) or Setting the Module-Level Python SDK (Non-Ascend Project).
   	Use specified interpreter: Use a specified interpreter that has been configured. For details, see Python SDK Settings.
   Working directory	Working directory (defaults to the directory where the Python source file to be debugged is located).