/premailer

Turns CSS blocks into style attributes

Primary LanguagePython

premailer

Turns CSS blocks into style attributes

When you send HTML emails you can't used style tags but instead you have to put inline style attributes on every element. So from this:

    <html>
    <style type="text/css">
    h1 { border:1px solid black }
    p { color:red;}
    p::first-letter { float:left; }
    </style>
    <h1 style="font-weight:bolder">Peter</h1>
    <p>Hej</p>
    </html>

You want this:

    <html>
    <h1 style="font-weight:bolder; border:1px solid black">Peter</h1>
    <p style="{color:red} ::first-letter{float:left}">Hej</p>
    </html>

premailer does this. It parses an HTML page, looks up style blocks and parses the CSS. It then uses the lxml.html parser to modify the DOM tree of the page accordingly.

Turning relative URLs into absolute URLs

Another thing premailer can do for you is to turn relative URLs (e.g. "/some/page.html" into "http://www.peterbe.com/some/page.html"). It does this to all href and src attributes that don't have a :// part in it. For example, turning this:

    <html>
    <body>
    <a href="/">Home</a>
    <a href="page.html">Page</a>
    <a href="http://crosstips.org">External</a>
    <img src="/folder/">Folder</a>
    </body>
    </html>

Into this:

    <html>
    <body>
    <a href="http://www.peterbe.com/">Home</a>
    <a href="http://www.peterbe.com/page.html">Page</a>
    <a href="http://crosstips.org">External</a>
    <img src="http://www.peterbe.com/folder/">Folder</a>
    </body>
    </html>

HTML attributes created additionally

Certain HTML attributes are also created on the HTML if the CSS contains any ones that are easily translated into HTML attributes. For example, if you have this CSS: td { background-color:#eee; } then this is transformed into style="background-color:#eee" AND as an HTML attribute bgcolor="#eee".

Having these extra attributes basically as a "back up" for really shit email clients that can't even take the style attributes. A lot of professional HTML newsletters such as Amazon's use this.