Datacage: Added <dc:filter> element. This allows cleaner way to narrow the datasets. Example: <dc:context> <dc:statement> SELECT DISTINCT name AS hws_name, official AS hws_official, kind_id AS hws_kind FROM hws_lines WHERE river_id = ${river_id} </dc:statement> <dc:if test="dc:has-result()"> <lines> <dc:macro name="hws-lines"> <dc:elements> <hws factory="hwsfactory" name="{$hws_name}"/> </dc:elements> </dc:macro> <dc:filter expr="$hws_official=1"> <dc:if test="dc:has-result()"> <official> <dc:filter expr="$hws_kind=1"> <dc:if test="dc:has-result()"> <Durchlass><dc:call-macro name="hws-lines"></Durchlass> </dc:if> </dc:filter> <dc:filter expr="$hws_kind=2"> <dc:if test="dc:has-result()"> <Damm><dc:call-macro name="hws-lines"></Damm> </dc:if> </dc:filter> <dc:filter expr="$hws_kind=3"> <dc:if test="dc:has-result()"> <Graben><dc:call-macro name="hws-lines"></Graben> </dc:if> </dc:filter> </official> </dc:if> </dc:filter> </lines> </dc:if> </dc:context>

package de.intevation.flys.artifacts.datacage.templating;

public class TypeConverter
{
    private TypeConverter() {
    }

    public static Object convert(Object object, String type) {

        if (type == null) {
            return object;
        }

        if ("Integer".equals(type)) {
            return Integer.valueOf(object.toString());
        }

        if ("Double".equals(type)) {
            return Double.valueOf(object.toString());
        }

        if ("String".equals(type)) {
            return object.toString();
        }

        // TODO: Add more types

        return object;
    }
}
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