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A SOAP Fault issues an error to the caller. It resides within the content of the Body element and can appear only once. A SOAP Fault element defines four child elements, although you can add elements provided they are properly namespace qualified.

Assuming that I haven t provided any classification rules yet, the application needs to be able to recognize similar exceptions and group them accordingly. One possibility would be to store an exception body text and compare others against it. If the next exception matches the stored one, increase the counter; otherwise, store that one as well and use it for future comparisons. Figure 7-1 is a flowchart of this process.

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faultcode The faultcode element allows an application to identify the fault issued. It is a required element within a SOAP Fault, and its value must be a qualified name. Although not explicitly stated, I believe the reason behind a qualified name for the value is that this allows an application to determine from where the fault originated and to be able to distinguish between various fault codes. For example, not only does SOAP include some built-in fault codes, listed in Table 18-3, but imagine a system where SOAP messages pass through intermediaries. It is quite possible that each intermediary uses the same fault code but for different reasons. With each intermediary using a unique namespace, the recipient of the fault is able to properly identify the correct type of fault and handle it. Table 18-3. SOAP Fault Codes

The processing party found an invalid namespace for the SOAP Envelope element. A SOAP header entry that contained a mustUnderstand attribute with the value 1 was unable to be properly understood or processed. The SOAP message was incorrectly formed or did not contain the appropriate information in order to succeed. The SOAP message could not be processed for reasons not directly attributable to the contents of the message itself but, rather, to the processing of the message.

Each of the fault codes in Table 18-3 is defined by SOAP and resides in the http:// schemas.xmlsoap.org/soap/envelope/ namespace: <SOAP-ENV:Fault> <faultcode>SOAP-ENV:Client</faultcode> <!-- Additional Fault child elements --> </SOAP-ENV:Fault> The Fault in this case indicates that there was a problem with the SOAP message sent from the client. Fault codes can also be granular. Using the . character as a separator, you can pass multiple related codes. For example, suppose you need to perform authentication; you can pass this information in a SOAP header entity. An application receiving a message without this entity may want to return an authentication error. This could be considered related to a SOAP Client fault because the client did not pass the proper structure: <SOAP-ENV:Fault> <faultcode>SOAP-ENV:Client.Authentication</faultcode> <!-- Additional Fault child elements --> </SOAP-ENV:Fault> faultstring The faultstring element is also a required element within a Fault. It provides a humanreadable explanation of the error that occurred. For example:

15004 15005 15006 15007

Figure 7-1. Counting the exceptions This would work, but it would be very slow as the string compare operations are really slow and expensive in terms of computing power. So when possible, try to avoid them, especially if you need to compare long strings such as long fragments of text. A much more efficient way to perform quick text blob comparison is to generate some unique attribute for each text fragment and then compare those attributes. (By unique, I mean unique within that particular piece of text.) Such an attribute can be an MD5 hash function of the data stream. As you may already know, a cryptographic hash function (of which MD5 is a widely used example)is a procedure that accepts any block of data and returns a bit string of a predefined size. This string is generated in a way that if the original data is modified it will change. By definition the output string may be much smaller than the input string, so obviously the information is lost and cannot be restored; but the algorithm guarantees that if the hash values of two strings are the same there is a very high probability that the original stings are the same, too. Python has a built in MD5 library that can be used to generate MD5 sums for any input data. So I m going to use this function to generate MD5 hashes for all exceptions that I encounter and compare those strings instead of comparing the full stack traces. Listing 7-9 is an excerpt from the insert method. The following variables are defined at the beginning of the function:

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