XML modelling tool [closed]
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开发者_运维技巧 Improve this questionI have searched and am looking for a tool which would help when working with XML files. I've got to understand different XML structures and it gets quite annoying when I have to draw everything on a paper or model a diagram myself.
I would like to know if anybody has some tool to offer which would help when figuring out XML structures ?
For anyone who doesn't understand why I need this, imagine this:
<parent id="1">
<name> ... </name>
</parent>
<parent id="2">
<name> ... </name>
</parent>
<child mother="1" father="2"></child>
In this case, mother and father are set by id in parent element.
And sometimes I have a huge structure which is connected with other nodes in this way(using ID or some string identificator). It sucks to handle this manually and I would like to know if there's some automatic way to draw a diagram from XML(with minimal input).
Thank you
I know you're asking for a tool, and you're tagging your question with UML, but perhaps you'll like the Graph::Easy module with Perl, just to get a first big view of your XML.
Here is the sample XML :
<test>
<parent id="1"/>
<parent id="2"/>
<child id="11" mother="1" father="2"/>
<child id="10" mother="1" father="2"/>
</test>
Here is the little script :
#!/usr/bin/perl -w
use 5.010;
use strict;
use warnings;
use Graph::Easy;
use IO::All;
use Path::Class;
use XML::LibXML;
my $graph = Graph::Easy->new(timeout => 100);
my $parser = XML::LibXML->new();
my $xmlFile = file('...') # Replace by your path.
my $dom = $parser->parse_file($xmlFile);
foreach my $childNode ($dom->findnodes('//child'))
{
$graph->add_edge
(
$childNode->getAttribute('id'),
$childNode->getAttribute('mother'),
'has mother'
);
$graph->add_edge
(
$childNode->getAttribute('id'),
$childNode->getAttribute('father'),
'has father'
);
}
$graph->as_svg > io("graph.svg");
and the result :
That's just a very simple example, but you can easily go further and add different types of lines, colors, etc. By example :
Perhaps you're using the wrong tool? XML is best for identifying data stored as top-down tree structures. The structure your describing has more complex relationships (parents may in some instances be the top level element, in others the low level element)... something that a relational database (for example, SQL based) would be better at describing.
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