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After going to the trouble of setting up slugs to automatically populate and the pub_date field to default to the current date and time, you might be wondering why I m not using a default here to fill in the current user when an entry is being written. The primary reason is that, in the administrative interface, Django assumes you ll only grant access to people you trust and, therefore, that they ll fill in this sort of field correctly. Underlying this is a technical issue: Django s components are deliberately designed to require as little knowledge of each other as possible (a concept known as loose coupling) in order to make it easy to use them individually or, if necessary, to replace them with other components. Because of this, the Django object-relational mapper (ORM) has no knowledge of who the current user is in the authentication component.

At the end of the day, if the application fails to win customer hearts by not meeting their business needs, it would still be considered a bad design even if it is free from any architectural flaws In the financial world, both performance and user requirements are key sensitive areas User requirements are expected to change, which is inevitable, but performance-related issues are avoidable In a broader sense, you can achieve good performance by applying the three levels of intelligence in an application shown in Figure 1-19..

Let s say all you need is a simple line chart, but you want it to look a little cooler than usual. How s Figure 4-3 work for ya

In fact, by mixing these three levels of intelligence in the right proportion, you can develop a rock-solid application.

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Figure 4-3. A prettier line chart This version has it all: shadows, custom colors on the stroke and fill of the lines, and data markers. Accomplishing this doesn t take much more than you ve seen previously: var chart11 = new dojox.charting.Chart2D("test11"); chart11.addPlot("default", {type: "StackedLines", markers: true, shadows: {dx: 2, dy: 2, dw: 2}}); chart11.addSeries("Series A", [1, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6], {stroke: { color: "red", width: 2}, fill: "lightpink", marker: "m-3,-3 l0,6 6,0 0,-6 z"}); chart11.addSeries("Series B", [1, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6], {stroke: { color: "blue", width: 2}, fill: "lightblue", marker: "m-3,0 c0,-4 6,-4 6,0 m-6,0 c0,4 6,4 6,0"}); chart11.addSeries("Series C", [1, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6], {stroke: { color: "green", width: 2}, fill: "lightgreen", marker: "m0,-3 l3,3 -3,3 -3,-3 z"}); chart11.render(); Here we re calling the addPlot() method to add some options, namely telling dojox. charting that we want a StackedLines chart, a variant on the typical line chart. We re also telling it that we want markers by setting the markers attribute to true. Finally, we specify some information about shadows, here saying we want a shadow offset 2 pixels down and to the right of the lines. Then, when constructing the series, we pass in attributes defining the stroke, that is, the outline color of each data line, plus the color to fill the line with (because a StackedLines chart variety makes thicker lines, not just single-pixel-wide lines). We also specify where to put our markers along each series line.

Machine intelligence is inclined toward the programmatic perspective of an application. The best way to implement this intelligence is by religiously following the best programming practices and applying well-proven architectural standards. The most common practices followed in high-performance applications are applying parallelism, which is achieved using multithreading; devising a highly optimized algorithm; and exploiting platform- or hardware-specific capabilities.

Another feature that s easy to add is a per-entry way to allow or disallow comments. You haven t yet seen the code that will actually handle user-submitted comments (that will come a bit later); however, you will need something on the Entry model that allows you to check whether comments should be allowed. So let s add a field for it: enable_comments = models.BooleanField(default=True) A BooleanField has only two possible values True or False and in web-based forms will be represented by a check box. I give it a default value of True because most people will probably want comments on by default, but an entry s author will be able to uncheck the box in the admin interface to turn it off. While you re looking at BooleanField, remember that one of the features on your list is the ability to mark entries as featured so that they can be singled out for special presentation. That s also easy to do with a BooleanField: featured = models.BooleanField(default=False) This time set the default to False, because only a few specific entries should be featured.

So far we ve talked only about line charts, which is nice but what are bar charts, you ask Feast your eyes on Figure 4-4!

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