How to create a lektor plugin and debug it in PyCharm

written by Andrew Shay on 2018-05-16

I recently created by my first Lektor Plugin, read-full-post, and wanted to create a getting starting guide for creating a plugin and debugging it in PyCharm.

In this article we will pull the lektor project, create a plugin that modifies the body of every blog post, debug the plugin in PyCharm and look at some of the data in the debugger.


This guide is written using Python 3.6 and Lektor 3.1.
We will use ~/Documents as our working directory. Feel free to use a different directory.

Clone Lektor project

Clone the lektor project from GitHub. This will let us run lektor server via a Python script to use PyCharm's debugger.
$ cd ~/Documents
$ git clone

Create Plugin

$ cd ~/Documents
$ mkdir lektor-my-plugin
$ cd lektor-my-plugin

Create file

This is the contents

# -*- coding: utf-8 -*-

## My Plugin

from lektor.pluginsystem import Plugin

class MyPluginPlugin(Plugin):
    name = "My Plugin"
    description = "My first plugin to change post text"

    def mp_modify_post(cls, post):
        post._data['body'].source += "\n\nMy Plugin!"
        return post

    def on_setup_env(self, **extra):

on_setup_env is run when lektor sets up its environment. Our method is allowing jinja templates to call our other method mp_modify_post when plugin_my_plugin is called in a template. We will see this in the template later.

mp_modify_post has parameter post which will be of type Page. This represents our blog post and contains the data that you see in the admin panel for the post.

Note: I think it's a good idea for plugin methods to have a unique name to prevent a future collision with the Plugin base class. So we start our methods with mp, which is the abbreviation of our plugin.

Now let's create ~/Documents/lektor-my-plugin/

This is the contents

from setuptools import setup

    author='YOUR NAME',
    url='YOUR WEBSITE',
        'lektor.plugins': [
            'my-plugin = lektor_my_plugin:MyPluginPlugin',

Create virtualenv and test site

Lets create a virtualenv for our work.
$ cd ~/Documents/lektor-my-plugin
$ virtualenv PLUGINENV
$ source ./PLUGINENV/bin/activate or $ PLUGINENV\Scripts\activate for Windows.

Now let's install lektor real quick and create a test site.
$ pip install lektor
Run quickstart to create a website and add a few blog posts
$ pip uninstall lektor -y

Modify Site Source

We will now modify our lektor site so that the plugin works.


We will add the line {% set child = plugin_my_plugin(child) %}
This processes the blog post.

Here is a full sample of blog.html for reference

{% extends "layout.html" %}
{% from "macros/blog.html" import render_blog_post %}
{% from "macros/pagination.html" import render_pagination %}
{% block title %}{{ this.title }}{% endblock %}
{% block body %}
  {% for child in this.pagination.items %}
    {% set child = plugin_my_plugin(child) %}
    {{ render_blog_post(child, from_index=true) }}
  {% endfor %}

  {{ render_pagination(this.pagination) }}
{% endblock %}

Add to PyCharm

Open our new directories in PyCharm: ~/Documents/lektor-my-plugin and ~/Documents/lektor.
Add PLUGINENV to PyCharm and set it as the interpreter for lektor-my-plugin.
Set lektor as a project dependency for lektor-my-plugin.

Start lektor script

$ cd ~/Documents/lektor-my-plugin
Create file

This is the contents

from lektor import cli

if __name__ == '__main__':

This script is the equivalent of lektor server

Pip install projects

With the virtualenv still activated...

$ cd ~/Documents/lektor
$ pip install --editable .

$ cd ~/Documents/lektor-my-plugin
$ pip install --editable .

Start and Debug

Set a break point on the return in mp_modify_post().
In PyCharm create a new Configuration that has

  • Script path: ~/Documents/lektor-my-plugin/
  • Project: lektor-my-plugin
  • Working directory: ~/Documents/lektor-my-plugin/LEKTOR-SITE-FOLDER
    Click OK.

Debug this configuration. The lektor server will start and will break for every blog post.
Our method is simply taking the content of the blog post and appending the text "My Plugin!" to it.

You can examine the variable post to see what you have access to.
post._data contains the blog post. data, author, twitter handle etc.
post.datamodel.field_map shows the fields of the blog post.

View Results

Go to your test site and view your plugin changes!

Official Docs

Be sure to checkout the official docs


article   lektor   plugin   debug   pycharm