package mobvista.dmp.datasource.gender;

import com.google.common.collect.Sets;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.util.GenericOptionsParser;
import org.codehaus.jackson.map.ObjectMapper;
import org.codehaus.jackson.type.JavaType;

import java.io.IOException;
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.*;

public class ExtractDeviceMR {
    /**
     * author:liushuai
     *
     * @throws InterruptedException
     * @throws IOException
     * @throws ClassNotFoundException desc  : 对dm_install_list每天的数据根据device_id进行去重并合并package_name
     */

    public static void main(String[] args) throws ClassNotFoundException, IOException, InterruptedException {

        Configuration conf = new Configuration();
        conf.set("mapreduce.map.speculative", "true");
        conf.set("mapreduce.reduce.speculative", "true");
        conf.set("mapreduce.task.io.sort.mb", "500");
        conf.set("mapreduce.reduce.java.opts", "-Xmx1536m");
        conf.set("mapreduce.reduce.memory.mb", "2048");
        conf.set("mapreduce.reduce.shuffle.parallelcopies", "50");
        String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();

        Job job = Job.getInstance(conf, "ExtractDeviceMR");
        FileOutputFormat.setCompressOutput(job, true);
        FileOutputFormat.setOutputCompressorClass(job, GzipCodec.class);
        job.setJarByClass(ExtractDeviceMR.class);

        job.setMapperClass(ExtractMapper.class);

        job.setReducerClass(ExtractReducer.class);

        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(Text.class);

        FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
        FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));

        System.exit(job.waitForCompletion(true) ? 0 : 1);

    }

    public static class ExtractMapper extends Mapper<LongWritable, Text, Text, Text> {
        ObjectMapper objectMapper = new ObjectMapper();
        JavaType javaType = objectMapper.getTypeFactory()
                .constructCollectionType(ArrayList.class, ExtractDeviceMould.class);
        Text outKey = new Text();
        Text outValue = new Text();
        String time = "";
        public void setup (Context context) {
            try {
                time = context.getConfiguration().get("time");
            } catch (Exception e) {
                System.exit(3);
            }
        }
        public void map(LongWritable key, Text value, Context context) {
            try {
                String line = value.toString();
                String[] fields = MRUtils.SPLITTER.split(line, -1);
                if (fields.length != 4) {
                    return;
                }
                if (fields[3].equals("")) {  //package
                    return;
                }
                String deviceId = fields[0];
                String[] tmpDeviceId = deviceId.split("-", -1);
                StringBuilder tmpDeviceId2 = new StringBuilder();
                for (String add : tmpDeviceId) {
                    tmpDeviceId2.append(add);
                }
                if (tmpDeviceId.length == 1) {
                    return;
                }
                if (tmpDeviceId2.toString().matches("^0*$")) {
                    return;
                }
                if (deviceId.equals("")) {
                    return;
                }
                StringBuilder outputValue = new StringBuilder();
                //使用jackson解析json数组
                List<ExtractDeviceMould> packageList = objectMapper.readValue(fields[3], javaType);//[{"date":"2017-03-30","package_name":"com.myntra.android"}]
                if (packageList.size() == 0) {//说明没有package_name,扔掉
                    return;
                }
                //在90天之内有过安装行为的数据保留，否则不保留
                SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
                String day = time;
                Date today = null;
                try {
                    today = sdf.parse(day);
                } catch (ParseException e) {
                    e.printStackTrace();
                }
                Calendar theCa = Calendar.getInstance();
                theCa.setTime(today);
                theCa.add(theCa.DATE, -90);//90天前
                Date begin = theCa.getTime();//90天前
                int num = 0;
                for (ExtractDeviceMould deviceMould : packageList) {
                    if (deviceMould.getPackage_name().length() == 0 || deviceMould.getDate().length() == 0) {
                        continue;
                    }
                    try {
                        Date install = sdf.parse(deviceMould.getDate());//pkg安装的时间
                        if (install.getTime() >= begin.getTime()) {
                            num = 1;
                            break;
                        }
                    } catch (ParseException e) {
                        continue;
                    }
                }
                if (num == 0) {
                    return;
                }
                for (ExtractDeviceMould deviceMould : packageList) {
                    outputValue.append("#" + deviceMould.getPackage_name());//循环把package_name加到后面
                }
                if (outputValue.toString().equals("") || outputValue.toString().length() <= 1) {
                    return;
                }
                outKey.set(MRUtils.JOINER.join(fields[0], fields[1]));//device_id, device_type
                outValue.set(outputValue.toString());//pkg_name
                context.write(outKey, outValue);
            } catch (Exception e) {
                return;
            }
        }
    }

    public static class ExtractReducer extends Reducer<Text, Text, Text, Text> {
        Text outKey = new Text();
        Text outValue = new Text();

        public void reduce(Text key, Iterable<Text> values, Context context) {
            try {
                String deviceId = MRUtils.SPLITTER.split(key.toString(), -1)[0];
                String deviceType = MRUtils.SPLITTER.split(key.toString(), -1)[1];
                StringBuilder packageName = new StringBuilder("");
                Set<String> set = Sets.newHashSet();
                for (Text value : values) {
                    String[] arr = MRUtils.SPLITTER.split(value.toString(), -1);
                    String[] array = arr[0].split("#", -1);//以#分隔的pkg
                    for (String pkgName : array) {
                        if (pkgName.equals("") || pkgName.length() < 1) {
                            continue;
                        }
                        set.add(pkgName);
                    }
                }
                if (set.size() < 2) {
                    return;
                }
                for (String pkg : set) {
                    if (packageName.toString().equals("")) {
                        packageName.append(pkg);
                    } else {
                        packageName.append("#" + pkg);
                    }
                }
                outKey.set(deviceId);
                outValue.set(MRUtils.JOINER.join("B", packageName.toString(), deviceType));
                context.write(outKey, outValue);
            } catch (Exception e) {
                return;
            }
        }
    }
}
