/**
* Copyright 2011-2014 Asakusa Framework Team.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.asakusafw.compiler.operator.processor;
import javax.lang.model.type.TypeMirror;
import com.asakusafw.compiler.common.Precondition;
import com.asakusafw.compiler.common.TargetOperator;
import com.asakusafw.compiler.operator.AbstractOperatorProcessor;
import com.asakusafw.compiler.operator.ExecutableAnalyzer;
import com.asakusafw.compiler.operator.ExecutableAnalyzer.TypeConstraint;
import com.asakusafw.compiler.operator.OperatorMethodDescriptor;
import com.asakusafw.compiler.operator.OperatorMethodDescriptor.Builder;
import com.asakusafw.vocabulary.operator.Extract;
/**
* {@link Extract 抽出演算子}を処理する。
*/
@TargetOperator(Extract.class)
public class ExtractOperatorProcessor extends AbstractOperatorProcessor {
private static final int RESULT_START = 1;
@Override
public OperatorMethodDescriptor describe(Context context) {
Precondition.checkMustNotBeNull(context, "context"); //$NON-NLS-1$
ExecutableAnalyzer a = new ExecutableAnalyzer(context.environment, context.element);
if (a.isAbstract()) {
a.error("抽出演算子はabstractで宣言できません");
}
if (a.getReturnType().isVoid() == false) {
a.error("抽出演算子は戻り値にvoidを指定する必要があります");
}
if (a.getParameterType(0).isModel() == false) {
a.error(0, "抽出演算子の最初の引数はモデルオブジェクト型である必要があります");
}
int startParameters = RESULT_START;
for (int i = RESULT_START, n = a.countParameters(); i < n; i++) {
TypeConstraint param = a.getParameterType(i);
if (param.isResult() == false) {
break;
} else if (param.getTypeArgument().isModel() == false) {
a.error(i, "抽出演算子の結果は結果のモデルオブジェクト型である必要があります");
} else {
startParameters++;
}
}
if (startParameters == RESULT_START) { // 結果型がない
a.error("抽出演算子の引数には一つ以上の結果(Result)型を指定する必要があります");
}
for (int i = startParameters, n = a.countParameters(); i < n; i++) {
TypeConstraint param = a.getParameterType(i);
if (param.isResult()) {
a.error(i, "ユーザー引数の後には結果型を含められません");
} else if (param.isBasic() == false) {
a.error(i, "ユーザー引数は文字列またはプリミティブ型である必要があります");
}
}
if (a.hasError()) {
return null;
}
Builder builder = new Builder(Extract.class, context);
builder.addAttribute(a.getObservationCount());
builder.setDocumentation(a.getExecutableDocument());
builder.addInput(
a.getParameterDocument(0),
a.getParameterName(0),
a.getParameterType(0).getType(),
0);
for (int i = 1; i < startParameters; i++) {
TypeConstraint outputType = a.getParameterType(i).getTypeArgument();
TypeMirror outputTypeMirror = outputType.getType();
String found = builder.findInput(outputTypeMirror);
if (found == null && outputType.isProjectiveModel()) {
a.error("出力型{0}に対する入力が見つかりません", outputTypeMirror);
}
builder.addOutput(
a.getParameterDocument(i),
a.getParameterName(i),
outputTypeMirror,
found,
i);
}
for (int i = startParameters, n = a.countParameters(); i < n; i++) {
builder.addParameter(
a.getParameterDocument(i),
a.getParameterName(i),
a.getParameterType(i).getType(),
i);
}
return builder.toDescriptor();
}
}