/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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 org.apache.flink.graph.asm;

import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.graph.Edge;
import org.apache.flink.graph.Graph;
import org.apache.flink.graph.generator.CompleteGraph;
import org.apache.flink.graph.generator.EmptyGraph;
import org.apache.flink.graph.generator.RMatGraph;
import org.apache.flink.graph.generator.random.JDKRandomGeneratorFactory;
import org.apache.flink.types.IntValue;
import org.apache.flink.types.LongValue;
import org.apache.flink.types.NullValue;
import org.junit.Before;

import java.util.LinkedList;
import java.util.List;

public class AsmTestBase {

	protected ExecutionEnvironment env;

	protected final double ACCURACY = 0.000001;

	// simple graph
	protected Graph<IntValue, NullValue, NullValue> directedSimpleGraph;

	protected Graph<IntValue, NullValue, NullValue> undirectedSimpleGraph;

	// complete graph
	protected final long completeGraphVertexCount = 47;

	protected Graph<LongValue, NullValue, NullValue> completeGraph;

	// empty graph
	protected final long emptyGraphVertexCount = 3;

	protected Graph<LongValue, NullValue, NullValue> emptyGraph;

	@Before
	public void setup()
			throws Exception {
		env = ExecutionEnvironment.createCollectionsEnvironment();
		env.getConfig().enableObjectReuse();

		// a "fish" graph
		Object[][] edges = new Object[][]{
			new Object[]{0, 1},
			new Object[]{0, 2},
			new Object[]{2, 1},
			new Object[]{2, 3},
			new Object[]{3, 1},
			new Object[]{3, 4},
			new Object[]{5, 3},
		};

		List<Edge<IntValue, NullValue>> directedEdgeList = new LinkedList<>();

		for (Object[] edge : edges) {
			directedEdgeList.add(new Edge<>(new IntValue((int) edge[0]), new IntValue((int) edge[1]), NullValue.getInstance()));
		}

		directedSimpleGraph = Graph.fromCollection(directedEdgeList, env);
		undirectedSimpleGraph = directedSimpleGraph
			.getUndirected();

		// complete graph
		completeGraph = new CompleteGraph(env, completeGraphVertexCount)
			.generate();

		// empty graph
		emptyGraph = new EmptyGraph(env, emptyGraphVertexCount)
			.generate();
	}

	/**
	 * Generate a directed RMat graph. Tests are usually run on a graph with
	 * scale=10 and edgeFactor=16 but algorithms generating very large DataSets
	 * require smaller input graphs.
	 *
	 * The examples program can write this graph as a CSV file for verifying
	 * algorithm results with external libraries:
	 *
	 * ./bin/flink run examples/flink-gelly-examples_*.jar --algorithm EdgeList \
	 *     --input RMatGraph --type long --simplify directed --scale $SCALE --edge_factor $EDGE_FACTOR \
	 *     --output csv --filename directedRMatGraph.csv
	 *
	 * @param scale vertices are generated in the range [0, 2<sup>scale</sup>)
	 * @param edgeFactor the edge count is {@code edgeFactor} * 2<sup>scale</sup>
	 * @return directed RMat graph
	 * @throws Exception on error
	 */
	protected Graph<LongValue, NullValue, NullValue> directedRMatGraph(int scale, int edgeFactor)
			throws Exception {
		long vertexCount = 1L << scale;
		long edgeCount = edgeFactor * vertexCount;

		return new RMatGraph<>(env, new JDKRandomGeneratorFactory(), vertexCount, edgeCount)
			.generate()
			.run(new org.apache.flink.graph.asm.simple.directed.Simplify<LongValue, NullValue, NullValue>());
	}

	/**
	 * Generate an undirected RMat graph. Tests are usually run on a graph with
	 * scale=10 and edgeFactor=16 but algorithms generating very large DataSets
	 * require smaller input graphs.
	 *
	 * The examples program can write this graph as a CSV file for verifying
	 * algorithm results with external libraries:
	 *
	 * ./bin/flink run examples/flink-gelly-examples_*.jar --algorithm EdgeList \
	 *     --input RMatGraph --type long --simplify undirected --scale $SCALE --edge_factor $EDGE_FACTOR \
	 *     --output csv --filename undirectedRMatGraph.csv
	 *
	 * @param scale vertices are generated in the range [0, 2<sup>scale</sup>)
	 * @param edgeFactor the edge count is {@code edgeFactor} * 2<sup>scale</sup>
	 * @return undirected RMat graph
	 * @throws Exception on error
	 */
	protected Graph<LongValue, NullValue, NullValue> undirectedRMatGraph(int scale, int edgeFactor)
			throws Exception {
		long vertexCount = 1L << scale;
		long edgeCount = edgeFactor * vertexCount;

		return new RMatGraph<>(env, new JDKRandomGeneratorFactory(), vertexCount, edgeCount)
			.generate()
			.run(new org.apache.flink.graph.asm.simple.undirected.Simplify<LongValue, NullValue, NullValue>(false));
	}
}