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There are a number of widely used systems that can take plain text with a little bit of special syntax and perform the conversion Textile, Markdown, BBCode, and reStructuredText are the most popular One way you could handle this is with template filters As you saw in the last chapter, Django s template system allows you to apply filters to variables in your templates (as you did when you used the escape filter to prevent cross-site scripting attacks) Django includes ready-made template filters for applying Textile, Markdown, and reStructuredText to any piece of text in a template, and that would be an easy solution Unfortunately, it s also an expensive solution Running a text-to-HTML converter every time you display an entry will needlessly eat up CPU cycles on your server, especially since the resulting HTML will be the same each time.

The dojo.gfx namespace isn t all about simple shapes. You can also create text! Sure, you could always draw the text yourself with primitives, but that s a whole lot of work for what will probably not even wind up being as good of a result. Why not just do this instead: var txt = s.createText({x: 90, y: 130, text: "DojoX GFX"}); txt.setFont({family : "Times", size : "20pt", weight : "bold"}); txt.setFill("yellow"); txt.setStroke("black"); You start by creating the text with a call to createText(), feeding it the location to put the text at, and of course the text itself. You can then optionally set the font information, including font family, size, and weight, just like style sheet attributes, and you can also set the outline color of the text with setStroke() and/or the inner color of it with setFill(). At the end of the day, text is just a polyline drawn very finely and automatically for you, but it s still a vectorbased drawing.

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The market data farm connects to various exchanges and gathers data published by them This gathered data is then packaged in a suitable format and delivered to the market data engine The market data engine is the actual application that sits at the organization end and receives the data published by its master Also, the ticker plant falls outside the organization network periphery because the network bandwidth available between the market data engine and its corresponding plant is usually limited in nature The market data vendor considers the bandwidth constraint and diverts a major chunk of effort to fine-tuning the interaction between the worker and master both from a message processing and a communication perspective Once the market data engine receives a message, the message is then made available to internal applications inside the organization.

Imagine for a moment what would happen if individual applications inside an organization started requesting market data directly from the market data engine This would directly result in a tight coupling between the market data vendor and the applications Furthermore, the message format and communication style adopted by an individual market data vendor is truly proprietary in nature and incompatible with other market data vendors (Standards such as Market Data Definition Language [MDDL] are defined by groups of financial institutions, but they have yet to be fully embraced by the financial community) However, in the real word, the story is different No organization depends upon a single market data vendor; instead, they spread their risk by subscribing to services of at least two market data vendors so in case of the nonavailability of data from one vendor, they can fall back on the other.

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So how do you stop applications from directly communicating with the market data engine The solution to this problem is to introduce another entity market data hub that abstracts away vendorspecific differences The market data hub directly speaks to the vendor market data engine and collects this data, transforms it to a uniform format, and finally makes this information available to internal applications The upside of such an implementation is that applications are completely immune to any new changes implemented by vendors, and this responsibility shifts to the market data hub to accommodate such changes Another benefit reaped by applications is they can enjoy the data streaming from multiple vendors with just the flip of a switch.

A better solution would be to generate the HTML once when the entry is saved to the database and then retrieve it directly for display You could just store the generated HTML in the body and excerpt fields, but that would remove the benefit of using a simpler syntax for writing entries As soon as you went back to edit an entry, you d be presented with the HTML instead of the plain text it was generated from So what you really need is a separate pair of fields that will store the HTML, as well as a bit of code to generate it whenever an entry is saved If you were worried earlier about database normalization the principle that information shouldn t be needlessly duplicated this is a good example of where deliberate denormalization is useful.

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