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GUI Markdown support

Support for Taipy GUI Markdown syntax

The Taipy Studio extension leverages the Visual Studio Code text edition functionality to accelerate the definition of Taipy GUI pages with the Markdown syntax:

  • IntelliSense can be used in the context of page definition.
    This auto-completion feature gives you quick access to visual element types, their specific properties, and even code variables in certain situations.
    See the Auto-completion section for details.
  • Diagnostics are provided in the Problems panel and the code itself, showing syntactic problems in your page definition. Some of these problems can be quickly fixed using Quick Fixes.
    See the Diagnostics section for details.
  • Snippets are short pieces of code that can be inserted into your code with a few keystrokes.
    The Taipy Studio extension comes with a few code snippets detailed in the section on Snippets.
  • A command is available to generate a complete visual element definition in the Markdown text.
    See the Element Generation section for details.

The extension is activated when Visual Studio Code finds Markdown text:

  • In a Markdown file (the filename extension must be .md) which is part of the currently opened project;
  • In any string that appears in Python source code, part of the currently opened project, using the triple quote syntax (which allows a string to span multiple lines of text).


Auto-completion (or IntelliSense) is triggered when:

  • the programmer enters the <| key sequence.
  • the programmer presses the Ctrl-<ENTER> combination in the context of a visual element context (that is, after a "<|" fragment).

Taipy Studio proposes the list of available visual element types as well as the specific list of properties for the element currently being defined.

Here is an example of how a control can be created in the Visual Studio Code text editor for a Markdown file:

Access to variable and function names

The auto-completion feature can also be used in the context of a property value to provide quick access to variable and function names that would be valid values for a given property. This works only if the Markdown content is entered as a string value in a Python file (using the triple quote syntax) or as text in a Markdown file with the same root name as a Python file sitting in the same directory, both being part of the currently opened project.
Then Taipy Studio proposes relevant Python identifiers just after the user presses the "{" key, opening a fragment to write a Python expression.

Here is what this looks like when referencing a variable name:

And here is a similar example, where a function name is required for a property that holds a callback. Candidate function names that could be set to the property is proposed to the user:

Page preview

If you are used to working with Markdown in Visual Studio Code, you certainly came across the Markdown preview feature: pressing Ctrl+Shift+V (or Cmd+Shift+V on a Mac keyboard) in an editor that contains Markdown content creates a window showing the representation of a Markdown file. If the text editor and preview window are displayed next to each other, you are able to instantly see the changes done in the active Markdown file.

This feature is leveraged by Taipy Studio so that Taipy visual elements are recognized and rendered in the Markdown preview window. When a valid Taipy GUI visual element is inserted in the Markdown file, it appears in the Preview section, and the properties that were set are reflected in a way that is very similar to what you will achieve in the application itself.

Here is an animation showing how this works.

A new Markdown file is created, then some basic Markdown content is added. The preview area displays the result of interpreting the Markdown text.
If you add a Taipy visual element to the Markdown file, Taipy Studio assumes that this file can be used as a page definition, and renders the Taipy element in the preview area.
Note that elements appear to be active (in the example above, the button can be pressed) but that is only a visual effect. No action is really triggered.

Non literal properties

Some Taipy GUI visual elements have properties that accept properties that do not have a literal type, or can be interpreted.

List of values

Elements such as selector or toggle have a property called lov that can be set to a series of strings. This would be properly handled by the Taipy Studio preview:


You can specify the image displayed by a image control in the preview area by providing the path to the image file, relative to the root directory of the project:

Mock values

The Markdown preview pane of Taipy Studio supports the binding of a property to a value.

Because the Visual Studio Code preview is not connected to an actual application that could provide values set to variables, Taipy Studio provides a means to mock the values of variables bound to element properties.
You can create, in the project directory (where Visual Studio Code was launched), a file called taipy.mock.json. This file must contain, in JSON format, the definition of a dictionary where each key is a variable name, and each value defines the value to be assigned to the variable name.

Here is an example of how to use this feature:

The two controls defined in the Markdown file are bound to two variables (text and value). To mock the connection to run-time variables, the taipy.mock.json file contains the definition of a dictionary with two entries that are set to the values the controls should reflect for the preview of the Markdown file.

No expression evaluation

Expressions are not evaluated: you can use "{value}" to evaluate the variable in the preview area, but expressions (such as "{value+1}") will not be replaced with their evaluation.

Tabular values

The table and chart controls can be previewed with relevant data, defined in the mock data file.

Table values

In the taipy.mock.json file, you can define an array that defines, for each row, the cell values you want to preview. Each array element should be a dictionary that has to have an "id" property that must be unique for each row.
The other properties can be set to the value you want to represent.
The column names referred to by the table control are the names of each row's property.

Here is an example of such a mock table data (source: Wikipedia):

In taipy.mock.json, we have defined the value "world_pop", which is referenced in the table control definition.
Each element of the "world_pop" defines an individual row in a dictionary that has the properties "id", "Country", "Pop", and "World%". The table control definition explicitly references those property names as the columns that must be shown.

Chart values

You can define a similar value in taipy.mock.json to feed charts. In the chart control definition, you must set the x and y properties to the relevant property name in each row's dictionary.

Here is how the dataset used above can be previewed as a chart:

External data files

Taipy Studio can read external data files to provide tabular data to tables and charts. That makes it possible to preview your own data without the burden of converting them.
You can create a CSV or a JSON file to hold the data you want to preview, then associate the pathname of the data file to a value defined in taipy.mock.json.

The dataset that we have used above could have come from a CSV file:

2,"United States",335065000,4.2

Then you can reference this data file from a value defined in taipy.mock.json and used as the table's data source:

This mechanism works the same way with JSON files, using the same format as if the data was stored directly in taipy.mock.json.


Taipy Studio can detect issues in the definition of visual elements. Those issues appear in the text body itself as well as in the Problems panel (that can be displayed using the Visual Studio Ctrl+Shift+M key combination).
Some detected problems come with Quick Fixes that allow programmers to solve them semi-automatically.

Here is a list of warnings and errors detected by Taipy Studio:

  • Missing closing syntax on control elements (MSC).
    Quick fix available: add closing syntax.

  • Missing opening tag on block elements (MOT).

  • Missing closing tag on block elements (MCT).

  • Missing opening tag with matching tag id (MOTI).

  • Missing closing tag with matching tag id (MCTI).

  • Opening tag with unmatched tag id (UOTI).

  • Closing tag with unmatched tag id (UCTI).

  • Invalid property format (PE01).

  • Invalid property name (PE02).
    Property names are dependent on the visual element type. Quick fix is available.

  • Ignore negated value (PE03).
    Quick fix available: remove negated value.

  • Function not found (FNF).
    This error is detected only in the context of a Python source file.

    Quick fix available: generate a function with the correct signature into the Python file:

Element Generation

Taipy Studio provides a command to generate the skeleton of a visual element definition quickly.

  • Open the Command Palette (Ctrl+Shift+P on Windows or Unix, Cmd+Shift+P on MacOS);
  • Search for the command Generate Taipy GUI element and execute it.

The command runs a step-by-step process that lets users indicate what element needs to be generated and with what set of properties.
The definition for the new element will be inserted in the last active window.

Of course, you may want to bind this command to some key binding of your liking.


Code snippets are proposed when the programmer presses the Ctrl-<ENTER> key combination outside a visual element context.
In a Markdown context, Taipy Studio proposes two snippets that let users insert the skeleton for a control ("<|c" snippet) or a block ("<|b" snippet) where the closing "|>" fragment is inserted as an additional line.

Here is how you can rapidly create a new control on your page: