/*
 *
 *  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 com.dlink.cdc.kafka;

import com.dlink.assertion.Asserts;
import com.dlink.cdc.AbstractSinkBuilder;
import com.dlink.cdc.CDCBuilder;
import com.dlink.cdc.SinkBuilder;
import com.dlink.executor.CustomTableEnvironment;
import com.dlink.model.FlinkCDCConfig;
import com.dlink.model.Schema;
import com.dlink.model.Table;
import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ObjectMapper;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.ProcessFunction;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer;
import org.apache.flink.table.data.RowData;
import org.apache.flink.table.types.logical.LogicalType;
import org.apache.flink.util.Collector;
import org.apache.flink.util.OutputTag;

import java.util.HashMap;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;

/**
 * MysqlCDCBuilder
 *
 * @author wenmo
 * @since 2022/4/12 21:29
 **/
public class KafkaSinkBuilder extends AbstractSinkBuilder implements SinkBuilder {

    private final static String KEY_WORD = "datastream-kafka";

    public KafkaSinkBuilder() {
    }

    public KafkaSinkBuilder(FlinkCDCConfig config) {
        super(config);
    }

    @Override
    public void addSink(
        StreamExecutionEnvironment env,
        DataStream<RowData> rowDataDataStream,
        Table table,
        List<String> columnNameList,
        List<LogicalType> columnTypeList) {

    }

    @Override
    public String getHandle() {
        return KEY_WORD;
    }

    @Override
    public SinkBuilder create(FlinkCDCConfig config) {
        return new KafkaSinkBuilder(config);
    }

    @Override
    public DataStreamSource build(
        CDCBuilder cdcBuilder,
        StreamExecutionEnvironment env,
        CustomTableEnvironment customTableEnvironment,
        DataStreamSource<String> dataStreamSource) {
        if (Asserts.isNotNullString(config.getSink().get("topic"))) {
            dataStreamSource.addSink(new FlinkKafkaProducer<>(config.getSink().get("brokers"),
                    config.getSink().get("topic"),
                    new SimpleStringSchema()));
        } else {

            Map<Table, OutputTag<String>> tagMap = new HashMap<>();
            Map<String, Table> tableMap = new HashMap<>();
            ObjectMapper objectMapper = new ObjectMapper();
            SingleOutputStreamOperator<Map> mapOperator = dataStreamSource.map(x -> objectMapper.readValue(x,Map.class)).returns(Map.class);
            final List<Schema> schemaList = config.getSchemaList();
            final String schemaFieldName = config.getSchemaFieldName();
            if (Asserts.isNotNullCollection(schemaList)) {

                for (Schema schema : schemaList) {
                    for (Table table : schema.getTables()) {
                        String sinkTableName = getSinkTableName(table);
                        OutputTag<String> outputTag = new OutputTag<String>(sinkTableName) {
                        };
                        tagMap.put(table, outputTag);
                        tableMap.put(table.getSchemaTableName(), table);
                    }
                }

                SingleOutputStreamOperator<String> process = mapOperator.process(new ProcessFunction<Map, String>() {
                    @Override
                    public void processElement(Map map, ProcessFunction<Map, String>.Context ctx, Collector<String> out) throws Exception {
                        LinkedHashMap source = (LinkedHashMap) map.get("source");
                        try {
                            String result = objectMapper.writeValueAsString(map);
                            Table table = tableMap.get(source.get(schemaFieldName).toString() + "." + source.get("table").toString());
                            OutputTag<String> outputTag = tagMap.get(table);
                            ctx.output(outputTag, result);
                        } catch (Exception e) {
                            out.collect(objectMapper.writeValueAsString(map));
                        }
                    }
                });
                tagMap.forEach((k, v) -> {
                    String topic = getSinkTableName(k);
                    process.getSideOutput(v).rebalance().addSink(new FlinkKafkaProducer<>(config.getSink().get("brokers"),
                            topic, new SimpleStringSchema())).name(topic);
                });
            }
        }
        return dataStreamSource;
    }
}
