/*
 * 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.table.factories;

import org.apache.flink.table.api.TableSchema;
import org.apache.flink.table.api.types.Types;

import org.junit.Test;

import java.util.HashMap;
import java.util.Map;

import static org.junit.Assert.assertEquals;

/**
 * Tests for {@link TableFormatFactoryBase}.
 */
public class TableFormatFactoryBaseTest {

	@Test
	public void testSchemaDerivation() {
		final Map<String, String> properties = new HashMap<>();
		properties.put("schema.0.name", "otherField");
		properties.put("schema.0.type", "VARCHAR");
		properties.put("schema.0.from", "csvField");
		properties.put("schema.1.name", "abcField");
		properties.put("schema.1.type", "VARCHAR");
		properties.put("schema.2.name", "p");
		properties.put("schema.2.type", "TIMESTAMP");
		properties.put("schema.2.proctime", "true");
		properties.put("schema.3.name", "r");
		properties.put("schema.3.type", "TIMESTAMP");
		properties.put("schema.3.rowtime.timestamps.type", "from-source");
		properties.put("schema.3.rowtime.watermarks.type", "from-source");

		final TableSchema actualSchema = TableFormatFactoryBase.deriveSchema(properties);
		final TableSchema expectedSchema = TableSchema.builder()
			.field("csvField", Types.STRING) // aliased
			.field("abcField", Types.STRING)
			.build();
		assertEquals(expectedSchema, actualSchema);
	}

	@Test
	public void testSchemaDerivationWithRowtime() {
		final Map<String, String> properties = new HashMap<>();
		properties.put("schema.0.name", "otherField");
		properties.put("schema.0.type", "VARCHAR");
		properties.put("schema.0.from", "csvField");
		properties.put("schema.1.name", "abcField");
		properties.put("schema.1.type", "VARCHAR");
		properties.put("schema.2.name", "p");
		properties.put("schema.2.type", "TIMESTAMP");
		properties.put("schema.2.proctime", "true");
		properties.put("schema.3.name", "r");
		properties.put("schema.3.type", "TIMESTAMP");
		properties.put("schema.3.rowtime.timestamps.type", "from-field"); // from-field strategy
		properties.put("schema.3.rowtime.timestamps.from", "myTime");
		properties.put("schema.3.rowtime.watermarks.type", "from-source");

		final TableSchema actualSchema = TableFormatFactoryBase.deriveSchema(properties);
		final TableSchema expectedSchema = TableSchema.builder()
			.field("csvField", Types.STRING) // aliased
			.field("abcField", Types.STRING)
			.field("myTime", Types.TIMESTAMP)
			.build();
		assertEquals(expectedSchema, actualSchema);
	}
}