Markdown is a way of writing a formatted text on the web. This article discusses how an HTML text can be converted to Markdown. We can easily convert HTML to markdown using markdownify package. So let’s see how to download markdownify package and convert our HTML to markdown in python. Installation: This module does not come in-built with Python. @bot.messagehandler (contenttypes='text') def sendwelcome (message): if message.text in otvet: bot.sendmessage (message.chat.id, otvet message.text) elif.

In the previous article we looked at what static sites are, and how they work.

Now we will look at how to convert a single markdown file into an HTML file.

The conversion process

This diagram from the previous article shows the basic process for converting a set of markdown files into the required HTML files for a complete website:

This time we will look in more detail at what is involved in converting a single page of markdown into the corresponding HTML file:

Here is an example markdown file, test.md:

This actually isn't a pure markdown file. The top part of the file is meta-data for the page, in a format called yaml. Many static site generators use a similar system. The yaml is contained between the two '---' markers. The rest of the file (after the second '---') is the markdown content of the file. But for brevity we will call the entire file a markdown file.

Converting this page to HTML actually involves 4 separate tasks:

• Split the file into yaml and markdown parts
• Extract the meta-data from the YAML.
• Convert the markdown to an HTML fragment (the page content).
• Combine the meta-data and page content with the HTML template to create a complete HTML file.

Fortunately, if we use the right Python libraries, each of these steps is very easy.

Splitting the file

This part is fairly standard Python. We read the markdown file in, line by line, and create two strings, ym that contains the yaml text, and md that contains the markdown text.

Python allows us to treat a text file as a sequence of lines of text, that we can loop through using a for loop.

The first loop discards strings until we find the first '---'. The second loop reads all the strings until the next '---'. Those are the yaml_lines. Finally, all the remaining lines after the second '---' are the markdown data.

We join all the yaml_lines to form a string ym. We join all the lines of markdown data to form the string md.

Parsing the yaml data

We will use the Python yaml library to parse the yaml data, like this:

This parses a block of yaml text and creates a dictionary with the result. Here is what it prints:

This is the same data as we had on the test.md file, but now in the form of a Python dictionary.

Notice that the tags element has a list of values. That is because the yaml header uses a syntax for tags that allows for multiple values.

Converting the markdown data

Here we convert the second part of the file, the markdown data, into an html fragment, like this:

We are using the markdown library to do the conversion. This takes a markdown format string and returns an html string. Based on the markdown code above, the html content string will be:

As you can see it correctly marked up the bold and italic text, hyperlink, and image. The markdown method has several extensions that can be added, for example to provide syntax highlighting, but we aren't using those here.

The output is an html fragment. It places each paragraph inside its own paragraph tags, but it doesn't provide higher level tags such as a body tag. It is assumed that the html fragment will be place within a full html document (which we will do next).

Creating the full html

We create our final html using a template like this:

This template is just a basic html page. For a real website, you would probably want to use something more sophisticated, maybe a responsive template and some CSS styling.

But the basic method is the same. You use a full html page template, but with placeholders for variable content such as the title of the page, the author's name, and the main content itself.

The placeholders are enclosed in double curly brackets, for example {{title}}. We use the pystache module to substitute real values for the placeholders to create the final html. Here is the code:

The render function accepts the html template, plus a dictionary that maps the template names on to their values.

Notice that the info dictionary we are using comes straight from the yaml parser. It already contains entries for the title, author and date. The trick here is to make sure that each tag in the html template exactly matches the equivalent field in the yaml header. That way, pystache will be looking for the same tags that the yaml parser stored.

Python Convert Html To Markdown

Well that isn't quite true. The info dictionary doesn't yet have an entry for content, because the content comes from the markdown. So we add and extra element to the dictionary, called 'content', containing the processed markdown content.

The other thing to notice is that we use triple brackets for content - {{{content}}}. The reason for this is that the content is raw html data:

• For {{value}}, pystache renders the value assuming it is text that you want to display. If it contains html characters such as < it will use escape characters so the the symbol is displayed as a < in the browser. That is what you would want in the page title, for instance.
• For {{{value}}}, pystache renders the text unaltered, so it the text contains <p>, it will cause a paragraph break. This is what you want for the page content, which does include paragraph breaks.

Putting it all together

Html To Markdown Python 3

This has taken a bit of explaining, but if you actually look at the code to convert the yaml plus markdown into a final html page, it is remarkably simple:

Python Html To Markdown Code

In the next article we will look at how to build a complete site.