Using the JetBrains plugin for Python
In this article, you'll learn how to access all the features the JetBrains plugin has to offer for Python.
For Python developers, the JetBrains plugin works for both PyCharm and IntelliJ. From here on, we will assume that you are using PyCharm.
Note: If you installed the PyCharm plugin while PyCharm was already running, you'll need to restart PyCharm for the plugin to activate.
Checking the Status of Kite
If Kite is installed properly, you should see a small Kite logo at the bottom right corner of the PyCharm window. Clicking this icon opens a menu that will tell you the current status of Kite.
There are a handful of possible states Kite can be in, as described in the following table:
|Kite is not installed||The Kite Engine is not installed.|
|Kite Engine is not running||The Kite Engine is not running.|
|Kite Engine is indexing your code||The Kite Engine is analyzing your code to be able to serve you results.|
|Kite is ready and working||Kite is ready to go — start coding!|
|No icon||No message||This typically means that you are coding in an unsaved file or a filetype not yet supported by Kite.|
Note: If you're running Kite for the first time, it may take several minutes for Kite to finish syncing and indexing your codebase.
The menu that appears when clicking the icon will also allow you to access your settings.
Writing code and accessing features
In the following sections, the
$ character indicates the position of your editor's text cursor.
To start, open a Python file in a whitelisted directory. Make sure that this file has been saved with a
.py extension. Now type the following code:
A list of suggested completions should automatically appear.
Kite can provide completions for Python keywords, name expressions or attribute expressions. The example above illustrates a name expression completion. An example of an attribute completion would be:
import json json.d$
In the case of name and attribute completions, Kite will also provide the type of value represented by the completion e.g.
Continuing with the example code above, complete the function call to by typing the opening parentheses.
import json json.dumps($
Kite should show you information about how to call
The top half of the UI shows the arguments that the function accepts. Arguments with default values will also have their default values shown. You may also click on the
**kw link to show the arguments that are found in the keyword arguments dictionary.
As you type, Kite will stay in-sync with your cursor and highlight which argument you are currently focused on.
The “How others used this” section in the bottom half of the UI shows you common ways other programmers use the function
json.dumps. Kite learns these calling patterns by analyzing all the open source code available on GitHub and then ranks them from most popular to least popular. If you are calling a function that you have defined locally, Kite will extract patterns from your codebase directly instead of GitHub.
When you call a function, Kite may suggest snippets as completions you may choose. Snippets are denoted by placeholders enclosed with
<>. In the screenshot below, the highlighted completion has two placeholders:
When you select a snippet, you can use the
tab key to jump between placeholders as you edit them.
Kite can also quickly retrieve documentation for the code you are working with. You can do so by positioning your cursor over an identifier and selecting the
Kite: Docs at Cursor action from the action navigator.
When triggered, the documentation shows up in the Copilot.