To ensure successful debugging, it is enough to specify the built-in web server port and accept the default settings that PyCharm suggests for other debugger options.
To set the built-in web server port
In the Settings/Preferences dialog (Ctrl+Alt+S), click Debugger under Build, Execution, Deployment. The Debugger page opens.
In the Built-in server area, specify the port where the built-in web server runs. By default this port is set to the default PyCharm port
63342through which PyCharm accepts connections from services. You can set the port number to any other value starting with 1024 and higher.
If the Live Edit functionality is enabled, the JetBrains Chrome extension will also use this port to connect to the running page.
Suppress calls to the files on the built-in server from other computers or from outside PyCharm by clearing the Can accept external connections or Allow unsigned requests checkbox respectively.
Choose the way to remove breakpoints, the default setting is Click.
On the Debugger. Data Views page under the Debugger node, configure advanced debugger options: enable or disable Inline Debugging, specify when you want to see tooltips with object values and expressions evaluation results, etc.
Starting a debugging session with your default Chrome user data
You may notice that your debugging session starts in a new window with a custom Chrome user data instead of your default one. As a result, the window looks unusual, for example, your bookmarks, the browser history, and the extensions are missing, which altogether breaks your development experience. That happens because PyCharm uses Chrome Debugging Protocol and runs Chrome with the
--remote-debugging-port option. However, if Chrome is already started, a debugging port can't be opened for any new or existing Chrome instance that has the same user data. Therefore, when Chrome Debugging Protocol is used, PyCharm always starts a debugging session with in a new window with a custom user data.
To start a debugging session in the same Chrome instance, use the JetBrains Chrome extension as you did before.
To open a new Chrome instance with your familiar look-and-feel, configure Chrome in PyCharm to start with your user data. In this case, before starting a debugging session, always make sure that Chrome is not already running with your user data. Otherwise PyCharm still launches another instance of Chrome with your user data but is unable to open a debugging port for it. As a result, PyCharm debugger fails to connect to the application in the new Chrome instance and the debugging session does not start.
To configure Chrome in PyCharm to start with your Chrome user data
Save your Chrome user data anywhere on your machine.
In the Settings/Preferences dialog (Ctrl+Alt+S), click Web Browsers under Tools. The Web Browsers page opens.
To create a new Chrome configuration, click. A new item appears in the list. In the Path field, specify the path to the Chrome installation folder.
Select the new configuration and click. The Chrome Settings dialog opens.
Select the Use custom user data directory checkbox and specify the path to your user data directory in the PyCharm settings.
To debug with the JetBrains Chrome extension