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      <title>10.7.&nbsp;全部放在一起</title>
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                  <h2 class="title"><a name="kgp.alltogether"></a>10.7.&nbsp;全部放在一起
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            <div></div>
         </div>
         <div class="abstract">
            <p>你已经了解很多基础的东西。让我们回来看看所有片段是如何整合到一起的。</p>
         </div>
         <p>作为开始，这里是一个<a href="command_line_arguments.html" title="10.6.&nbsp;处理命令行参数">接收命令行参数</a>的脚本，它使用 <tt class="filename">getopt</tt> 模块。
         </p>
         <div class="informalexample"><pre class="programlisting"><span class='pykeyword'>
def</span> main(argv):                         
...
    <span class='pykeyword'>try</span>:                                
        opts, args = getopt.getopt(argv, <span class='pystring'>"hg:d"</span>, [<span class='pystring'>"help"</span>, <span class='pystring'>"grammar="</span>])
    <span class='pykeyword'>except</span> getopt.GetoptError:          
...
    <span class='pykeyword'>for</span> opt, arg <span class='pykeyword'>in</span> opts:               
...</pre></div>
         <p>创建 <tt class="classname">KantGenerator</tt> 类的一个实例，然后将语法文件和源文件传给它，可能在命令行没有指定。
         </p>
         <div class="informalexample"><pre class="programlisting">
    k = KantGenerator(grammar, source)</pre></div>
         <p><tt class="classname">KantGenerator</tt> 实例自动加载语法，它是一个 <span class="acronym">XML</span> 文件。你使用自定义的 <tt class="function">openAnything</tt> 函数打开这个文件 (<a href="index.html#kgp.openanything" title="10.1.&nbsp;抽象输入源">可能保存在一个本地文件中或者一个远程服务器上</a>)，然后使用内置的 <tt class="filename">minidom</tt> 解析函数<a href="../xml_processing/parsing_xml.html" title="9.3.&nbsp;XML 解析">将 <span class="acronym">XML</span> 解析为一棵 <span class="application">Python</span> 对象树</a>。
         </p>
         <div class="informalexample"><pre class="programlisting">
    <span class='pykeyword'>def</span><span class='pyclass'> _load</span>(self, source):
        sock = toolbox.openAnything(source)
        xmldoc = minidom.parse(sock).documentElement
        sock.close()</pre></div>
         <p>哦，根据这种方式，你将使用到 <span class="acronym">XML</span> 文档结构的知识<a href="caching.html" title="10.3.&nbsp;查询缓冲节点">建立一个引用的小缓冲</a>，这些引用都只是 <span class="acronym">XML</span> 文档中的元素。
         </p>
         <div class="informalexample"><pre class="programlisting">
    <span class='pykeyword'>def</span><span class='pyclass'> loadGrammar</span>(self, grammar):                         
        <span class='pykeyword'>for</span> ref <span class='pykeyword'>in</span> self.grammar.getElementsByTagName(<span class='pystring'>"ref"</span>):
            self.refs[ref.attributes[<span class='pystring'>"id"</span>].value] = ref     </pre></div>
         <p>如果你在命令行中指定了某些源材料，你可以使用它；否则你将打开语法文件查找“顶层”引用 (没有被其它的东西引用) 并把它作为开始点。</p>
         <div class="informalexample"><pre class="programlisting">
    <span class='pykeyword'>def</span><span class='pyclass'> getDefaultSource</span>(self):
        xrefs = {}
        <span class='pykeyword'>for</span> xref <span class='pykeyword'>in</span> self.grammar.getElementsByTagName(<span class='pystring'>"xref"</span>):
            xrefs[xref.attributes[<span class='pystring'>"id"</span>].value] = 1
        xrefs = xrefs.keys()
        standaloneXrefs = [e <span class='pykeyword'>for</span> e <span class='pykeyword'>in</span> self.refs.keys() <span class='pykeyword'>if</span> e <span class='pykeyword'>not</span> <span class='pykeyword'>in</span> xrefs]
        <span class='pykeyword'>return</span> <span class='pystring'>'&lt;xref id="%s"/&gt;'</span> % random.choice(standaloneXrefs)</pre></div>
         <p>现在你打开了了源材料。它是一个 <span class="acronym">XML</span>，你每次解析一个节点。为了让代码分离并具备更高的可维护性，你可以使用<a href="handlers_by_node_type.html" title="10.5.&nbsp;根据节点类型创建不同的处理器">针对每个节点类型的独立处理方法</a>。
         </p>
         <div class="informalexample"><pre class="programlisting">
    <span class='pykeyword'>def</span><span class='pyclass'> parse_Element</span>(self, node): 
        handlerMethod = getattr(self, <span class='pystring'>"do_%s"</span> % node.tagName)
        handlerMethod(node)</pre></div>
         <p>你在语法里面跳来跳去，解析每一个 <tt class="sgmltag-element">p</tt> 元素的<a href="child_nodes.html" title="10.4.&nbsp;查找节点的直接子节点">所有孩子</a>，
         </p>
         <div class="informalexample"><pre class="programlisting">
    <span class='pykeyword'>def</span><span class='pyclass'> do_p</span>(self, node):
...
        <span class='pykeyword'>if</span> doit:
            <span class='pykeyword'>for</span> child <span class='pykeyword'>in</span> node.childNodes: self.parse(child)</pre></div>
         <p>用任意一个孩子替换 <tt class="sgmltag-element">choice</tt> 元素，
         </p>
         <div class="informalexample"><pre class="programlisting">
    <span class='pykeyword'>def</span><span class='pyclass'> do_choice</span>(self, node):
        self.parse(self.randomChildElement(node))</pre></div>
         <p>并用对应 <tt class="sgmltag-element">ref</tt> 元素的任意孩子替换 <tt class="sgmltag-element">xref</tt>，前面你已经进行了缓冲。
         </p>
         <div class="informalexample"><pre class="programlisting">
    <span class='pykeyword'>def</span><span class='pyclass'> do_xref</span>(self, node):
        id = node.attributes[<span class='pystring'>"id"</span>].value
        self.parse(self.randomChildElement(self.refs[id]))</pre></div>
         <p>就这样一直解析，最后得到普通文本。</p>
         <div class="informalexample"><pre class="programlisting">
    <span class='pykeyword'>def</span><span class='pyclass'> parse_Text</span>(self, node):    
        text = node.data
...
            self.pieces.append(text)</pre></div>
         <p>把结果打印出来。</p>
         <div class="informalexample"><pre class="programlisting"><span class='pykeyword'>
def</span> main(argv):                         
...
    k = KantGenerator(grammar, source)
    <span class='pykeyword'>print</span> k.output()</pre></div>
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