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Add namespace (using System.IO;). The following code is to read content from text (.txt), xml(.xml), html(.html) files. ... Reading Contents From PDF , Word, Text Files In C#
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Here, we have to tell the pie chart what field in the data corresponds to the categories that is, the slices of the pie and what field represents the values of each slice. Ext JS, in concert with Flash, then takes care of rendering the pie chart you see in Figure 2-33, including sizing each slice according to the relative value of each in the data.



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We begin the onLinkClick() method by determining exactly which link was clicked. This is achieved by calling the Event.element() function with the event object passed to onLinkClick(). We will use the href attribute of the link as the URL to pass to Ajax.Updater. Currently there are no extra options we need to pass to this Ajax request; however, we still define the options hash since we will be using it later in this chapter. The onLinkClick() method concludes by calling Event.stop(). This is to ensure the browser doesn t follow the link, thereby defeating the point of using Ajax.

Note If you store FogBugz data in Access, you can open the database directly. If you re using SQL Server





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Figure 2-33. An example of a pie chart As you can see, generating charts with Ext JS is a piece of cake and builds directly on top of the data mechanism, making it an extremely powerful and flexible solution. The downside is that Flash is required, but with something like 99 percent of all desktops with Flash already installed, that s not such a big deal.4

Now we must update the left-column.tpl template to load and instantiate the BlogMonthlySummary JavaScript class. Listing 8-19 shows the updated version of left-column.tpl, which now loads and instantiates this JavaScript class. Once you reload your page, clicking these links while on the blog manager index will refresh the middle container without reloading the whole page! Listing 8-19. Instantiating the BlogMonthlySummary Class (left-container.tpl) {get_monthly_blog_summary user_id=$identity->user_id assign=summary} {if $summary|@count > 0} <div id="preview-months" class="box"> <h3>Your Blog Archive</h3> <ul> {foreach from=$summary key=month item=numPosts} <li> <a href="{geturl controller='blogmanager'} month={$month}"> {$month|date_format:'%B %Y'} </a> ({$numPosts} post{if $numPosts != 1}s{/if}) </li> {/foreach} </ul> </div> <script type="text/javascript" src="/js/BlogMonthlySummary.class.js"></script> <script type="text/javascript"> new BlogMonthlySummary('month-preview', 'preview-months'); </script> {/if}

Note One thing that doesn t seem possible with the pie chart is to show the category names on the

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Next, we need a directory for storing application data (that is, data in addition to that in the database). Here we will store log files (both from Apache, and those we create ourselves), files uploaded by users, as well as any other temporary data. I will call this directory data, and it will contain a number of subdirectories for each of the different types of data stored. These subdirectories are logs, uploaded-files, and tmp.

slices. The tooltips are present, but that s not ideal. This is a capability I d hope to see added to Ext JS in short order (and it possibly could be there in the currently released version).

We next need a directory called include, which will be used to store all PHP functions and libraries. Any third-party scripts we use (such as Smarty) will also be stored in this directory in addition to our own code. Application controllers (scripts that define the different actions users can perform on the web site) will be stored in a directory called Controllers in the include directory. When we create the Apache virtual host for our application (in the Configuring the Web Server section of this chapter), we will include the include directory in the PHP include_path directive, so our application will know where to find this code.

for your FogBugz database, you can create a new Access project based on the SQL Server data; search the Access help for project for more information. If you re using MySQL, you ll need to install the MySQL ODBC driver and attach the MySQL tables to an empty Access database to proceed.

You can see all of the charts described here by running the charts.htm file included in the download bundle for this book. If you load this file locally that is, if you open your browser and simply open the file you may see errors indicating that a connection between JavaScript and YUI Charts could not be established. This is a result of Adobe Flask blocking local content from communicating with remote servers, which the charting capabilities seem to require. To deal with this, you will need to tell the Flash plug-in that this communication is allowed.

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