仍然不行。这是前端函数序列化后的提交的完整的xml数据
<?xml version="1.0" encoding="UTF-8"?>
<methodCall>
<methodName>metaWeblog.newMediaObject</methodName>
<params>
<param>
<value>
<string>188840</string>
</value>
</param>
<param>
<value>
<string>lywon</string>
</value>
</param>
<param>
<value>
<string>1C2379AB79E66480E8C9ED4A75BE80D3F66571C989D2EAC93557BA77DAA03B1A</string>
</value>
</param>
<param>
<value>
<struct>
<member>
<name>base64</name>
<value>
<string>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</string>
</value>
</member>
<member>
<name>name</name>
<value>
<string>testFanbingbing.jpg</string>
</value>
</member>
<member>
<name>type</name>
<value>
<string>image/jpeg</string>
</value>
</member>
</struct>
</value>
</param>
</params>
</methodCall>
标签:fsl5gV4kmjWT0ponjk,++,c++,API,测试,序列化
From: https://www.cnblogs.com/lywon/p/17364207.html