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Suppose, however, that you set two bit flags instead of one, as in the following code: // Set two bit flags. ops = CardDeckSettings.SingleDeck | CardDeckSettings.Animation; Console.WriteLine( ops.ToString() ); // Print what The resulting value of ops is 9, where 1 is from the SingleDeck flag, and 8 is from the Animation flag. In the second line, when ToString attempts to look up the value in the list of enum members, it finds that there is no member with the value 9 so it just returns the string representing 9. The resulting output is the following:

<value><double>8.0</double></value> </data></array></value> </param> </params> </methodResponse> If this response looks a bit verbose for the amount of data that it is transmitting, then you will be happy to learn about the RPC mechanism that we tackle next.

The bright idea behind JSON is to serialize data structures to strings that use the syntax of the JavaScript programming language. This means that JSON strings can be turned back into data in a web browser simply by using the eval() function. By using a syntax specifically designed for data rather than adapting a verbose document markup language like XML, this remote procedure call mechanism can make your data much more compact while simultaneously simplifying your parsers and library code.

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If, however, you use the Flags attribute before the declaration of the enum, that tells the ToString method that the bits can be considered separately. In looking up the value, it would find that 9 corresponds to the two bit flag members SingleDeck and Animation. It would then return the string containing their names, separated by a comma and space, as shown here:

Purpose: Remote procedure calls Standard: http://json-rpc.org/wiki/specification Runs atop: HTTP Data types: int; float; unicode; list; dict with unicode keys; None Libraries: many third-party, including lovely.jsonrpc

The following code puts together all the pieces of using bit flags: [Flags] enum CardDeckSettings : uint { SingleDeck = 0x01, LargePictures = 0x02, FancyNumbers = 0x04, Animation = 0x08 }

Summary

JSON-RPC is not supported in the Python Standard Library (at least at the time of writing), so you will have to choose one of the several third-party distributions available. You can find these distributions on the Python Package Index. My own favorite is lovely.jsonrpc, contributed to the Python community by Lovely Systems GmBH in Austria. If you install it in a virtual environment (see 1), then you can try out the server and client shown in Listings 18 5 and 18 6. Listing 18 5. A JSON-RPC Server #!/usr/bin/env python # Foundations of Python Network Programming - 18 - jsonrpc_server.py # JSON-RPC server from wsgiref.simple_server import make_server import lovely.jsonrpc.dispatcher, lovely.jsonrpc.wsgi def lengths(*args): results = [] for arg in args: try: arglen = len(arg) except TypeError: arglen = None results.append((arglen, arg)) return results

// // // //

dispatcher = lovelyjsonrpcdispatcherJSONRPCDispatcher() dispatcherregister_method(lengths) app = lovelyjsonrpcwsgiWSGIJSONRPCApplication({'': dispatcher}) server = make_server('localhost', 7002, app) print "Starting server" while True: serverhandle_request() You can see that the Lovely Systems package which was written recently using modern Python technology offers a WSGI wrapper around its JSON-RPC dispatcher, making it easy to incorporate into modern Python web application stacks, or to deploy stand-alone using the Standard Library s wsgiref package The server code is quite simple, as an RPC mechanism should be As with XML-RPC, we merely need to name the functions that we want offered over the network, and they become available for queries (You can also pass an object, and its methods will be registered with the server all at once) Listing 18 6 JSON-RPC Client #!/usr/bin/env python # Foundations of Python Network Programming - 18 - jsonrpc_clientpy # JSON-RPC client from lovely.

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