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Each object has a special function called toString that is created to transform the data into HTML that is used by the test harness when the results are returned (see Figure 8-19). If you are really interested in the code that creates the test harness and the code used to emulate the Popfly objects, like the componentManager (componentManager.js) and the environment (environment.js) object, look in the Support folder in Solution Explorer and double-click the files you are interested in (see Figure 8-25). Notice that the full Microsoft JavaScript Ajax Library is available to Popfly blocks. You can learn more about the rich capabilities of this library at Microsoft s Ajax site at http://asp.net/ajax/. Remember that .aspx, and .cs files are .NET-specific technologies and are beyond the scope of this book.

With these routines, you can get large and complex URLs like the example given earlier and turn them into their component parts, with RFC-compliant parsing already implemented for you: >>> p = urlparse('http://examplecom:8080/Nord%2FLB/logo shape=square&dpi=96') >>> p ParseResult(scheme='http', netloc='examplecom:8080', path='/Nord%2FLB/logo', params='', query='shape=square&dpi=96', fragment='') The query string that is offered by the ParseResult can then be submitted to one of the parsing routines if you want to interpret it as a series of key-value pairs, which is a standard way for web forms to submit them: >>> parse_qs(pquery) {'shape': ['square'], 'dpi': ['96']} Note that each value in this dictionary is a list, rather than simply a string.

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You will start by examining the form where you use separate actual parameters in the invocation. This is sometimes called the expanded form. For example, the declaration of method ListInts in the following code matches all the method invocations below it, even though they have different numbers of actual parameters. void ListInts( params int[] InputList ) { ... } ... ListInts( ListInts( ListInts( ListInts( // Method declaration

This is to support the fact that a given parameter might be specified several times in a single URL; in such cases, the values are simply appended to the list: >>> parse_qs('mode=topographic&pin=Boston&pin=San%20Francisco') {'mode': ['topographic'], 'pin': ['Boston', 'San Francisco']} This, you will note, preserves the order in which values arrive; of course, this does not preserve the order of the parameters themselves because dictionary keys do not remember any particular order If the order is important to you, then use the parse_qsl() function instead (the l must stand for list ): >>> parse_qsl('mode=topographic&pin=Boston&pin=San%20Francisco') [('mode', 'topographic'), ('pin', 'Boston'), ('pin', 'San Francisco')] Finally, note that an anchor appended to a URL after a # character is not relevant to the HTTP protocol This is because any anchor is stripped off and is not turned into part of the HTTP request.

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Instead, the anchor tells a web client to jump to some particular section of a document after the HTTP transaction is complete and the document has been downloaded To remove the anchor, use urldefrag(): >>> u = 'http://docspythonorg/library/urlparsehtml#urlparseurldefrag' >>> urldefrag(u) ('http://docspythonorg/library/urlparsehtml', 'urlparseurldefrag') You can turn a ParseResult back into a URL by calling its geturl() method When combined with the urlencode() function, which knows how to build query strings, this can be used to construct new URLs: >>> import urllib, urlparse >>> query = urlliburlencode({'company': 'Nord/LB', 'report': 'sales'}) >>> p = urlparseParseResult( .. 'https', 'examplecom', 'data', None, query, None) >>> pgeturl() 'https://examplecom/data report=sales&company=Nord%2FLB' Note that geturl() correctly escapes all special characters in the resulting URL, which is a strong argument for using this means of building URLs rather than trying to assemble strings correctly by hand..

// // // //

Summary

Very often, the links used in web pages do not specify full URLs, but relative URLs that are missing several of the usual components When one of these links needs to be resolved, the client needs to fill in the missing information with the corresponding fields from the URL used to fetch the page in the first place Relative URLs are convenient for web page designers, not only because they are shorter and thus easier to type, but because if an entire sub-tree of a web site is moved somewhere else, then the links will keep working The simplest relative links are the names of pages one level deeper than the base page: >>> urlparseurljoin('http://wwwpythonorg/psf/', 'grants') 'http://wwwpythonorg/psf/grants' >>> urlparseurljoin('http://wwwpythonorg/psf/', 'mission') 'http://wwwpython.

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