com.google.mr4c.algorithm.AlgorithmSchema.java Source code

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/**
  * Copyright 2014 Google Inc. All rights reserved.
  * 
  * 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.google.mr4c.algorithm;

import java.io.File;
import java.util.Collection;
import java.util.Collections;
import java.util.HashSet;
import java.util.Set;

import com.google.mr4c.keys.DataKeyDimension;

import org.apache.commons.lang3.ObjectUtils;

public class AlgorithmSchema {

    private Set<String> m_inputDatasets;
    private Set<String> m_requiredInputDatasets;
    private Set<String> m_optionalInputDatasets;
    private Set<String> m_excludedInputDatasets;
    private Set<String> m_outputDatasets;
    private Set<DataKeyDimension> m_expectedDimensions;

    public AlgorithmSchema() {
        m_inputDatasets = Collections.synchronizedSet(new HashSet<String>());
        m_requiredInputDatasets = Collections.synchronizedSet(new HashSet<String>());
        m_optionalInputDatasets = Collections.synchronizedSet(new HashSet<String>());
        m_excludedInputDatasets = Collections.synchronizedSet(new HashSet<String>());
        m_outputDatasets = Collections.synchronizedSet(new HashSet<String>());
        m_expectedDimensions = Collections.synchronizedSet(new HashSet<DataKeyDimension>());
    }

    public Collection<String> getInputDatasets() {
        return m_inputDatasets;
    }

    public Collection<String> getRequiredInputDatasets() {
        return m_requiredInputDatasets;
    }

    public Collection<String> getOptionalInputDatasets() {
        return m_optionalInputDatasets;
    }

    public Collection<String> getExcludedInputDatasets() {
        return m_excludedInputDatasets;
    }

    public Collection<String> getOutputDatasets() {
        return m_outputDatasets;
    }

    public Collection<DataKeyDimension> getExpectedDimensions() {
        return m_expectedDimensions;
    }

    public void addInputDataset(String name) {
        addInputDataset(name, false, false);
    }

    public void addInputDataset(String name, boolean optional) {
        addInputDataset(name, optional, false);
    }

    public void addInputDataset(String name, boolean optional, boolean excludeFromKeyspace) {
        m_inputDatasets.add(name);
        if (optional) {
            m_optionalInputDatasets.add(name);
        } else {
            m_requiredInputDatasets.add(name);
        }
        if (excludeFromKeyspace) {
            m_excludedInputDatasets.add(name);
        }
    }

    public void addOutputDataset(String name) {
        m_outputDatasets.add(name);
    }

    public void addExpectedDimension(DataKeyDimension dimension) {
        m_expectedDimensions.add(dimension);
    }

    public boolean equals(Object obj) {
        if (this == obj)
            return true;
        if (obj == null)
            return false;
        if (!obj.getClass().equals(this.getClass()))
            return false;
        AlgorithmSchema schema = (AlgorithmSchema) obj;
        if (!ObjectUtils.equals(m_inputDatasets, schema.m_inputDatasets))
            return false;
        if (!ObjectUtils.equals(m_requiredInputDatasets, schema.m_requiredInputDatasets))
            return false;
        if (!ObjectUtils.equals(m_optionalInputDatasets, schema.m_optionalInputDatasets))
            return false;
        if (!ObjectUtils.equals(m_excludedInputDatasets, schema.m_excludedInputDatasets))
            return false;
        if (!ObjectUtils.equals(m_outputDatasets, schema.m_outputDatasets))
            return false;
        if (!ObjectUtils.equals(m_expectedDimensions, schema.m_expectedDimensions))
            return false;
        return true;
    }

}