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sort of proxy exception that gives the right error message must be raised on the client side of the RPC conversation when a call fails on the server Third, many RPC mechanisms provide introspection, which is a way for clients to list the calls that are supported and perhaps to discover what arguments they take Some heavyweight RPC protocols actually require the client and server to exchange large documents describing the library or API they support; others just let the list of function names and argument types be fetched by the client from the server; and other RPC implementations support no introspection at all Python tends to be a bit weak in supporting introspection because Python, unlike a statically-typed language, does not know what argument types are intended by the programmer who has written each function.

<dropCueTemplate> <template layoutElement="dropCueTemplate" /> </dropCueTemplate> </dragDropList> </behaviors> </control> <control id="PHItem"> <behaviors> <draggableListItem handle="PHDiv" /> </behaviors> </control> <control id="PHGraph"> <behaviors> <draggableListItem handle="PHGraphDiv" /> </behaviors> </control> <control id="PHAnalytic"> <behaviors> <draggableListItem handle="PHAnalyticDiv" /> </behaviors> </control> </components> </page> </script> When using Atlas Script, you define controls, behaviors, and actions using an XML document. You can see a lot more detail about it in 5. This script defines four Atlas controls. Each control is associated with an underlying HTML element. The first MasterList is an HTML list element. Each of the three panes is defined within a list element (<li> tag). This allows the panes to be dragged and dropped and locked into portions of the page. It s a three-item HTML list, and when you drag and drop the items, you simply rearrange how the elements are represented on the list. You associate the <dragdropList> behavior with this element to turn it into a list where the items can be rearranged using drag and drop. The Atlas Script that provides this is as follows: <dragDropList dataType="HTML" acceptedDataTypes="'HTML'" dragMode="Move"> <dropCueTemplate> <template layoutElement="dropCueTemplate" /> </dropCueTemplate> </dragDropList>

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Fourth, each RPC mechanism needs to support some addressing scheme whereby you can reach out and connect to a particular remote API Some such mechanisms are quite complicated, and they might even have the ability to automatically connect you to the correct server on your network for performing a particular task, without your having to know its name beforehand Other mechanisms are quite simple and just ask you for the IP address, port number, or URL of the service you want to access These mechanisms expose the underlying network addressing scheme, rather than creating a scheme of their own Finally, some RPC mechanisms support authentication, access control, and even full impersonation of particular user accounts when RPC calls are made by several different client programs wielding different credentials But features like these are not always available; and, in fact, simple and popular RPC mechanisms usually lack them entirely.

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This defines the behavior and specifies it as having an HTML type, accepting HTML data being dropped on it. It also specifies a dropCuetemplate, which points at a page element that will render status and debug information while you are dragging an element around the page. You can see the dropCueTemplate in action in Figure 11-25.

Often these RPC schemes use an underlying protocol like HTTP that provides its own authentication, and they leave it up to you to configure whatever passwords, public keys, or firewall rules are necessary to secure the lower-level protocol if you want your RPC service protected from arbitrary access..

We will begin our brief tour of RPC mechanisms by looking at the facilities built into Python for speaking XML-RPC. This might seem like a poor choice for our first example. After all, XML is famously clunky and verbose, and the popularity of XML-RPC in new services has been declining for years. But XML-RPC has native support in Python precisely because it was one of the first RPC protocols of the Internet age, operating natively over HTTP instead of insisting on its own on-the-wire protocol. This means our examples will not even require any third-party modules. While we will see that this makes our RPC server somewhat less capable than if we moved to a third-party library, this will also make the examples good ones for an initial foray into RPC.

Each of the three panes is a list item (<li> tag), and each one contains a table header, implemented as an HTML table contained within a <div> element. If you look at the Atlas Script, the list item is associated with a control, and the <div> element wrapping the corresponding table header within the list item is given the handle of a draggableListItem.

Purpose: Remote procedure calls Standard: www.xmlrpc.com/spec Runs atop: HTTP Data types: int; float; unicode; list; dict with unicode keys; with non-standard extensions, datetime and None Libraries: xmlrpclib, SimpleXMLRPCServer, DocXMLRPCServer

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