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Before the width and precision numbers, you may put a flag, which may be either zero, plus, minus, or blank. A zero means that the number will be zero-padded: >>> '%010.2f' % pi '0000003.14' It s important to note here that the leading zero in 010 in the preceding code does not mean that the width specifier is an octal number, as it would in a normal Python number. When you use 010 as the width specifier, it means that the width should be 10 and that the number should be zero-padded, not that the width should be 8: >>> 010 8 A minus sign (-) left-aligns the value: >>> '%-10.2f' % pi '3.14 ' As you can see, any extra space is put on the right-hand side of the number. A blank ( ) means that a blank should be put in front of positive numbers. This may be useful for aligning positive and negative numbers: >>> print ('% 5d' % 10) + '\n' + ('% 5d' % -10) 10 -10 Finally, a plus (+) means that a sign (either plus or minus) should precede both positive and negative numbers (again, useful for aligning): >>> print ('%+5d' % 10) + '\n' + ('%+5d' % -10) +10 -10 In the following example, I use the asterisk width specifier to format a table of fruit prices, where the user enters the total width of the table. Because this information is supplied by the user, I can t hard-code the field widths in my conversion specifiers; by using the asterisk, I can have the field width read from the converted tuple. The source code is given in Listing 3-1. Listing 3-1. String Formatting Example # Print a formatted price list with a given width width = input('Please enter width: ')

WorkAssignment +workAssignmentId +workerId +workId +activeDate +inactiveDate +getId() +getRow() +getWork() +getWork() +help() +isActive() +isHistory() +setRow() +test() 0..*

LogicalAssignment +logicalAssignmentId +workerId +logicalWorkplaceId +activeDate +inactiveDate +getId() +getLogicalWorkplace() +getLogicalWorkplace() +getRow() +help() +isActive() +isHistory() +setRow() +test() 0..* 1..1 LogicalWorkplace +logicalWorkplaceId +parentId +idContext +workplaceTypeId +code +name +activeDate +inactiveDate +createIdContext() +getId() +getCodeContext() +getNameContext() +getRow() +help() +setRow() +test() +toString()

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Luckily for Tapestry users, AJAX-enabled components are available via the Tacos component library. Taco is a small but robust framework for building AJAX-enabled Tapestry components as well as a complete library of ready-to-use Ajaxian Tapestry components. Tacos was created by Viktor Szathmary and is actively maintained by Jesse Kuhnert. The Tacos project is hosted at SourceForge (http://tacos.sourceforge.net/) and distributed under the Apache open source license. Tacos provides all the power of AJAX without the complications of dealing with constructs like XMLHttpRequest and complex JavaScript. Tacos takes advantages of the most mature JavaScript AJAX libraries available. It depends primarily on Dojo, but it also relies on Prototype and script.aculo.us for certain components. As you will see in the TechConf Tacos example in this section, you rarely need to interact directly with JavaScript. Tacos also provides a built-in logging and debugging console that simplifies the development of rich Web applications.

price_width = 10 item_width = width - price_width header_format = '%-*s%*s' format = '%-*s%*.2f' print '=' * width print header_format % (item_width, 'Item', price_width, 'Price') print '-' * width print print print print print format format format format format % % % % % (item_width, (item_width, (item_width, (item_width, (item_width, 'Apples', price_width, 0.4) 'Pears', price_width, 0.5) 'Cantaloupes', price_width, 1.92) 'Dried Apricots (16 oz.)', price_width, 8) 'Prunes (4 lbs.)', price_width, 12)

PhysicalAssignment +phyiscalAssignmentId +workerId +physicalWorkplaceId +activeDate +inactiveDate +getId() +getLogicalWorkplace() +getLogicalWorkplace() +getRow() +help() +isActive() +isHistory() +setRow() +test() 0..* 1..1

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Tacos is distributed in source and binary form. Documentation and samples are also distributed separately. Table 7-3 shows the Tacos distribution files.

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print '=' * width The following is a sample run of the program: Please enter width: 35 =================================== Item Price Apples 0.40 Pears 0.50 Cantaloupes 1.92 Dried Apricots (16 oz.) 8.00 Prunes (4 lbs.) 12.00 ===================================

1..1 Work +workId +code +name +activeDate +inactiveDate +getId() +getRow() +help() +setRow() +test() +toString()

Includes the core JAR file (tacos-alpha-7-lib.jar) and JavaScript libraries Source distribution, including demos source code Javadoc and User Guide documents (complete content of Tacos site) Deployable Web archive containing examples of every Tacos component

WorkPlaceType +workerTypeId +logicalIndicator +physicalIndicator +code +description +activeDate +inactiveDate +getId() +getId() +getCodeDescr() +getCodeIdDescr() +getCodeIdDescr() +help() +test() +toString()

You have already encountered methods in lists. Strings have a much richer set of methods, in part because strings have inherited many of their methods from the string module where they resided as functions in earlier versions of Python (and where you may still find them, if you feel the need).

PhysicalWorkplace +physicalWorkplaceId +parentId +idContext +workplaceTypeId +code +name +activeDate +inactiveDate +createIdContext() +getId() +getCodeContext() +getNameContext() +getRow() +help() +setRow() +test() +toString()

By far the easiest way to get started with Tacos is to use the demo WAR file as a skeleton for your WAR archive. Figure 7-21 shows the location of the different Tacos elements in the TechConf tapestry-web directory (the template directory for the WAR file). Figure 7-21 also shows the structure and location of the Tapestry page and component specification, as well as the HTML templates. To get acquainted with Tacos, I recommend test-driving the Demo application. You can access the demo application online, or better yet, you can simply deploy the demo WAR file in Tomcat or JBoss. Figure 7-22 shows the Tacos demo application running under Tomcat.

0..1 1..1

Even though string methods have completely upstaged the string module, the module still includes a few constants and functions that aren t available as string methods. The maketrans function is one example and will be discussed together with the translate method in the material that follows. Table 3-2 shows some useful constants available from string. For a more thorough description of the module, check out Section 4.1 of the Python Library Reference (http://python.org/doc/lib/module-string.html).

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0..1 1..*

Figure 7-22 also shows the Tacos Debug Console, which is a very useful tool for debugging Tacos-based AJAX applications.