1,th:属性名="",就可以直接修改控件的属性,比如
<input th:type="button" th:name="xinxin" th:value="caddice"/>等等...
2,th:each="xx,xxStat:${后台传来的值}",th:text="${xx.属性}"可以把传来的集合遍历出来,比如
<table>
<tr>
<td colspan="2">人员信息列表</td>
</tr>
<tr th:each="person,personStat:${persons}">
<td th:text="${person.name}"></td>
<td th:text="${person.age}"></td>
</tr>
</table>
这样就能看到一个列表了。personStat里面装的是当前person的一些状态信息,比如角标之类的。不需要的话可以直接写成<tr th:each="person:${persons}">
3,th:object="${对象}",th:field="*{属性}"可以直接用属性名调用对象的值,比如
<table th:object="${person}">
<tr>
<td colspan="2">个人信息</td>
</tr>
<tr>
<td>姓名:</td>
<td th:field="*{name}"></td>
</tr>
<tr>
<td>年龄:</td>
<td th:field="*{age}"></td>
</tr>
</table>
这样可以把person的任意属性提出来
*注:要灵活运用,尤其是$与*符号:如果是从后台传过来的,要用$;如果是th:object这种对象里的,则用*
4,th:checked="${}",这玩意在选择框里用,大括号里写int的时候,会把对应的选中。也可以写条件,满足的时候选中
下面是我项目中的一个用法,是修改信息时候的页面。因为级联关系,所以不像主表里的属性在页面显示出来的时候直接就能选中,所以我在里面加了一个判断
<tr>
<td>学位:</td>
<td><input type="radio" th:name="${educationStat.current}" th:checked="${education.degree.name()==degree.name()}" th:each="degree:${degree}" th:text="${degree.getDefaultName()}" th:value="${degree.name()}"/></td>
</tr>
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" alt="" />
为了保持每条教育经历中学位的name都不能一样,所以我用了Stat里的属性。
th:checked中判断,当数据和枚举中的值相同时,选中
5,th:if这个就是纯判断了,我只是试过一下,就不举例子了。如果条件是false的话,整个dom中thymeleaf的用法就都不执行了