import cn.hutool.core.date.DateUtil;
import com.njcn.common.utils.PubUtils;
import com.njcn.event.pojo.po.EventDetail;
import com.njcn.influxdb.utils.InfluxDbUtils;
import org.influxdb.InfluxDB.ConsistencyLevel;
import org.influxdb.dto.BatchPoints;
import org.influxdb.dto.Point;
import org.influxdb.dto.QueryResult;
import org.influxdb.impl.InfluxDBResultMapper;

import java.time.Instant;
import java.util.*;
import java.util.concurrent.TimeUnit;
import java.util.stream.Collectors;

/**
 * 类的介绍：
 *
 * @author xuyang
 * @version 1.0.0
 * @createTime 2021/11/16 11:07
 */

public class DataTest {

    //查询
    public static QueryResult select(InfluxDbUtils influxDBUtil) {
        long startTime = System.currentTimeMillis();
        //组装sql语句
        StringBuilder stringBuilder = new StringBuilder();
        stringBuilder.append("time >= '").append(DateUtil.beginOfDay(DateUtil.parse("2022-05-06"))).append("' and ").append("time <= '").append(DateUtil.endOfDay(DateUtil.parse("2022-05-06"))).append("' and (");
        //sql语句
        stringBuilder.append("line_id ='").append("1e3b8531483b2a8cbee6747f1f641cf9").append("')");
        //获取暂降事件
        QueryResult result = influxDBUtil.query("select * from pqs_eventdetail where " + stringBuilder.toString());
        InfluxDBResultMapper influxDBResultMapper = new InfluxDBResultMapper();
        List<EventDetail> eventDetailList = influxDBResultMapper.toPOJO(result, EventDetail.class);
        long endTime = System.currentTimeMillis();
        System.out.println(eventDetailList);
        return result;
    }

    //处理结果集
    public static void chanelResult(QueryResult result) {
        QueryResult.Result result1 = result.getResults().get(0);
        if (result1.getSeries() != null) {
            List<List<Object>> valueList = result1.getSeries().stream().map(QueryResult.Series::getValues).collect(Collectors.toList()).get(0);
            if (valueList != null && valueList.size() > 0) {
                for (List<Object> value : valueList) {
                    Map<String, String> map = new HashMap<String, String>();
                    // 数据库中字段1取值
                    String field1 = value.get(0) == null ? null : value.get(0).toString();
                    System.out.println(field1);
                    // 数据库中字段2取值
                    String field2 = value.get(1) == null ? null : value.get(1).toString();
                    System.out.println(field2);
                    // TODO 用取出的字段做你自己的业务逻辑……
                }
            }
        }
    }

    public static void main(String[] args) {
        InfluxDbUtils influxDBUtil = new InfluxDbUtils("admin", "123456", "http://192.168.1.18:8086", "pqsbase_sjzx", "");

        insert(influxDBUtil);
    }

    public static void deleteDB(InfluxDbUtils influxDBUtil) {
        influxDBUtil.deleteDB("LIMIT_RATE");
    }

    //单条数据插入
    public static void insert(InfluxDbUtils influxDBUtil) {
        Map<String, String> tags = new HashMap<>();
        long time = Long.parseLong("1675958400000");
        tags.put("dev_id", "57d121d45a26f3cc1d7b6ba541f895c0");
        Map<String, Object> fields = new HashMap<>();
//        fields.put("due",1440);
//        fields.put("real",1200);
        fields.put("online_min", 0);
        fields.put("offline_min", 1440);
        fields.put("online_rate", 0.0000);
        influxDBUtil.insert("pqs_onlinerate", tags, fields, time, TimeUnit.MILLISECONDS);
        // long time = Long.parseLong("1655135328135");
        // Map<String, String> tags = new HashMap<>();
        // // tags.put("line_id", "127fad1dcb0077ac2979141b8473a5e4");
        // tags.put("line_id", "1883a1fe6d9c3c5a03a4371bda024452");
        // Map<String, Object> fields = new HashMap<>();
        // fields.put("create_time", "2022-06-13 23:57:31");
        // fields.put("update_time", "");
        // fields.put("push_failed",0);
        // fields.put("result",1);
        // influxDBUtil.insert("pqs_event_push_logs", tags, fields, time, TimeUnit.MILLISECONDS);

//        long time = Long.parseLong("1654141002000");
//        tags.put("line_id", "5e467a40023b299070682eb21f2ec9a1");
//        Map<String, Object> fields = new HashMap<>();
//        fields.put("vu_dev1",5.706);
//        fields.put("vu_dev2",5.706);
//        fields.put("vu_dev3",5.706);
//        fields.put("vu_dev4",5.706);
//        fields.put("vu_dev5",5.706);
//        fields.put("freq_dev1",0.534);
//        fields.put("freq_dev2",0.534);
//        fields.put("freq_dev3",2.534);
//        fields.put("freq_dev4",0.534);
//        fields.put("freq_dev5",0.534);
//        fields.put("data_plt1",0.604);
//        fields.put("data_plt2",0.0);
//        fields.put("data_plt3",0.691);
//        fields.put("data_plt4",0.910);
//        fields.put("data_plt5",0.691);
//        fields.put("v_unbalance1",2.713);
//        fields.put("v_unbalance2",2.713);
//        fields.put("v_unbalance3",2.713);
//        fields.put("v_unbalance4",2.713);
//        fields.put("v_unbalance5",2.713);
//        fields.put("v_thd1",20.001);
//        fields.put("v_thd2",20.003);
//        fields.put("v_thd3",20.00);
//        fields.put("v_thd4",20.008);
//        fields.put("v_thd5",20.00);
//        fields.put("event1",1.619);
//        fields.put("event2",1.619);
//        fields.put("event3",1.619);
//        fields.put("event4",1.619);
//        fields.put("event5",1.619);
//        influxDBUtil.insert("pqs_comasses", tags, fields, time, TimeUnit.MILLISECONDS);
//         long time = Long.parseLong("1654141002000");
//         tags.put("line_id", "5e467a40023b299070682eb21f2ec9a1");
//         tags.put("phasic_type","C");
//         Map<String, Object> fields = new HashMap<>();
//         fields.put("alltime",1155);
//         fields.put("flicker_alltime",550);
//         fields.put("flicker_overtime",0);
//         fields.put("freq_dev_overtime",0);
//         fields.put("voltage_dev_overtime",0);
//         fields.put("ubalance_overtime",0);
//         fields.put("uaberrance_overtime",0);
//         fields.put("i_neg_overtime",0);
//         fields.put("uharm_2_overtime",0);
//         fields.put("uharm_3_overtime",0);
//         fields.put("uharm_4_overtime",0);
//         fields.put("uharm_5_overtime",0);
//         fields.put("uharm_6_overtime",0);
//         fields.put("uharm_7_overtime",0);
//         fields.put("uharm_8_overtime",0);
//         fields.put("uharm_9_overtime",0);
//         fields.put("uharm_10_overtime",0);
//         fields.put("uharm_11_overtime",0);
//         fields.put("uharm_12_overtime",0);
//         fields.put("uharm_13_overtime",0);
//         fields.put("uharm_14_overtime",0);
//         fields.put("uharm_15_overtime",0);
//         fields.put("uharm_16_overtime",0);
//         fields.put("uharm_17_overtime",0);
//         fields.put("uharm_18_overtime",0);
//         fields.put("uharm_19_overtime",0);
//         fields.put("uharm_20_overtime",0);
//         fields.put("uharm_21_overtime",0);
//         fields.put("uharm_22_overtime",0);
//         fields.put("uharm_23_overtime",0);
//         fields.put("uharm_24_overtime",0);
//         fields.put("uharm_25_overtime",0);
//         fields.put("iharm_2_overtime",0);
//         fields.put("iharm_3_overtime",0);
//         fields.put("iharm_4_overtime",0);
//         fields.put("iharm_5_overtime",0);
//         fields.put("iharm_6_overtime",0);
//         fields.put("iharm_7_overtime",0);
//         fields.put("iharm_8_overtime",0);
//         fields.put("iharm_9_overtime",0);
//         fields.put("iharm_10_overtime",0);
//         fields.put("iharm_11_overtime",0);
//         fields.put("iharm_12_overtime",0);
//         fields.put("iharm_13_overtime",0);
//         fields.put("iharm_14_overtime",0);
//         fields.put("iharm_15_overtime",0);
//         fields.put("iharm_16_overtime",0);
//         fields.put("iharm_17_overtime",0);
//         fields.put("iharm_18_overtime",0);
//         fields.put("iharm_19_overtime",0);
//         fields.put("iharm_20_overtime",0);
//         fields.put("iharm_21_overtime",0);
//         fields.put("iharm_22_overtime",0);
//         fields.put("iharm_23_overtime",0);
//         fields.put("iharm_24_overtime",0);
//         fields.put("iharm_25_overtime",0);
//         fields.put("inuharm_1_overtime",0);
//         fields.put("inuharm_2_overtime",0);
//         fields.put("inuharm_3_overtime",0);
//         fields.put("inuharm_4_overtime",0);
//         fields.put("inuharm_5_overtime",0);
//         fields.put("inuharm_6_overtime",0);
//         fields.put("inuharm_7_overtime",0);
//         fields.put("inuharm_8_overtime",0);
//         fields.put("inuharm_9_overtime",0);
//         fields.put("inuharm_10_overtime",0);
//         fields.put("inuharm_11_overtime",0);
//         fields.put("inuharm_12_overtime",0);
//         fields.put("inuharm_13_overtime",0);
//         fields.put("inuharm_14_overtime",0);
//         fields.put("inuharm_15_overtime",0);
//         fields.put("inuharm_16_overtime",0);
//         influxDBUtil.insert("limit_rate", tags, fields, time, TimeUnit.MILLISECONDS);

//        long time = Long.parseLong("1654141002000");
//        tags.put("line_id", "5e467a40023b299070682eb21f2ec9a1");
//        tags.put("phasic_type","A");
//        tags.put("value_type","CP95");
//        Map<String, Object> fields = new HashMap<>();
//        fields.put("voltage_dev",3.6);
//        fields.put("uvoltage_dev",-2.6);
//        fields.put("ubalance",6);
//        fields.put("flicker",0.6);
//        fields.put("uaberrance",2);
//        fields.put("i_neg",20);
//        fields.put("uharm_2",0);
//        fields.put("uharm_3",0);
//        fields.put("uharm_4",0);
//        fields.put("uharm_5",0);
//        fields.put("uharm_6",0);
//        fields.put("uharm_7",0);
//        fields.put("uharm_8",0);
//        fields.put("uharm_9",0);
//        fields.put("uharm_10",0);
//        fields.put("uharm_11",10);
//        fields.put("uharm_12",0);
//        fields.put("uharm_13",0);
//        fields.put("uharm_14",0);
//        fields.put("uharm_15",0);
//        fields.put("uharm_16",15.3);
//        fields.put("uharm_17",0);
//        fields.put("uharm_18",0);
//        fields.put("uharm_19",0);
//        fields.put("uharm_20",0);
//        fields.put("uharm_21",0);
//        fields.put("uharm_22",0);
//        fields.put("uharm_23",0);
//        fields.put("uharm_24",0);
//        fields.put("uharm_25",0);
//        fields.put("iharm_2",0);
//        fields.put("iharm_3",0);
//        fields.put("iharm_4",0);
//        fields.put("iharm_5",6.02);
//        fields.put("iharm_6",0);
//        fields.put("iharm_7",0);
//        fields.put("iharm_8",0);
//        fields.put("iharm_9",0);
//        fields.put("iharm_10",0);
//        fields.put("iharm_11",0);
//        fields.put("iharm_12",0);
//        fields.put("iharm_13",0);
//        fields.put("iharm_14",0);
//        fields.put("iharm_15",3.25);
//        fields.put("iharm_16",0);
//        fields.put("iharm_17",0);
//        fields.put("iharm_18",0);
//        fields.put("iharm_19",0);
//        fields.put("iharm_20",0);
//        fields.put("iharm_21",0);
//        fields.put("iharm_22",0);
//        fields.put("iharm_23",0);
//        fields.put("iharm_24",3.52);
//        fields.put("iharm_25",0);
//        fields.put("inuharm_1",0);
//        fields.put("inuharm_2",0);
//        fields.put("inuharm_3",3.25);
//        fields.put("inuharm_4",0);
//        fields.put("inuharm_5",3.26);
//        fields.put("inuharm_6",0);
//        fields.put("inuharm_7",0);
//        fields.put("inuharm_8",0);
//        fields.put("inuharm_9",0);
//        fields.put("inuharm_10",0);
//        fields.put("inuharm_11",0);
//        fields.put("inuharm_12",6.25);
//        fields.put("inuharm_13",0);
//        fields.put("inuharm_14",0);
//        fields.put("inuharm_15",0);
//        fields.put("inuharm_16",0);
//        influxDBUtil.insert("pqs_abnormaldata", tags, fields, time, TimeUnit.MILLISECONDS);
    }


    //循环写入数据库
    public static void batchInsertOne(InfluxDbUtils influxDBUtil) {
        Map<String, String> tags1 = new HashMap<>();
        tags1.put("line_id", "127fad1dcb0077ac2979141b8473a5e4");
        Map<String, Object> fields1 = new HashMap<>();
        fields1.put("describe", "暂降事件1");
        fields1.put("wave_type", 1);
        fields1.put("persist_time", 1620);
        fields1.put("event_value", 0.956);
        Map<String, String> tags2 = new HashMap<>();
        tags2.put("LineID", "9");
        tags2.put("Phasic_Type", "A");
        Map<String, Object> fields2 = new HashMap<>();
        fields2.put("RMS", 4);
        fields2.put("RMS_AB", 4);
        fields2.put("RMS_BC", 4);
        fields2.put("RMS_CA", 4);
        // 一条记录值
        Point point1 = influxDBUtil.pointBuilder("test", System.currentTimeMillis(), TimeUnit.MILLISECONDS, tags1, fields1);
        Point point2 = influxDBUtil.pointBuilder("test", System.currentTimeMillis(), TimeUnit.MILLISECONDS, tags2, fields2);
        // 将两条记录添加到batchPoints中
        BatchPoints batchPoints1 = BatchPoints.database("test").tag("LineID", "8").tag("Phasic_Type", "A").retentionPolicy("")
                .consistency(ConsistencyLevel.ALL).build();
        BatchPoints batchPoints2 = BatchPoints.database("test").tag("LineID", "9").tag("Phasic_Type", "A").retentionPolicy("")
                .consistency(ConsistencyLevel.ALL).build();
        batchPoints1.point(point1);
        batchPoints2.point(point2);
        // 将两条数据批量插入到数据库中
        influxDBUtil.batchInsert(batchPoints1, TimeUnit.MILLISECONDS);
        influxDBUtil.batchInsert(batchPoints2, TimeUnit.MILLISECONDS);
    }


    //批量插入数据
    public static void batchInsert(InfluxDbUtils influxDBUtil) {
        Map<String, String> tags1 = new HashMap<>();
        tags1.put("LineID", "4");
        tags1.put("Phasic_Type", "A");
        Map<String, Object> fields1 = new HashMap<>();
        fields1.put("RMS", 4.1111);
        fields1.put("RMS_AB", 4.1111);
        fields1.put("RMS_BC", 4.1111);
        fields1.put("RMS_CA", 4.1111);
        Map<String, String> tags2 = new HashMap<>();
        tags2.put("LineID", "5");
        tags2.put("Phasic_Type", "A");
        Map<String, Object> fields2 = new HashMap<>();
        fields2.put("RMS", 5.1111);
        fields2.put("RMS_AB", 5.1111);
        fields2.put("RMS_BC", 5.1111);
        fields2.put("RMS_CA", 5.1111);
        // 一条记录值。（注意：生产环境不要用System.currentTimeMillis()，因为数据量大会产生重复时间戳，导致数据丢失，要用数据自己的时间戳，这里只做演示）
        Point point1 = influxDBUtil.pointBuilder("Data_v", System.currentTimeMillis(), TimeUnit.MILLISECONDS, tags1, fields1);
        Point point2 = influxDBUtil.pointBuilder("Data_v", System.currentTimeMillis(), TimeUnit.MILLISECONDS, tags2, fields2);
//        BatchPoints batchPoints1 = BatchPoints.database("Data_v").tag("LineID", "4").tag("Phasic_Type","A").retentionPolicy("").consistency(ConsistencyLevel.ALL).precision(TimeUnit.MILLISECONDS).build();
        BatchPoints batchPoints1 = BatchPoints.database("test").tag("LineID", "4").tag("Phasic_Type", "A").retentionPolicy("").consistency(ConsistencyLevel.ALL).build();
        batchPoints1.point(point1);
        BatchPoints batchPoints2 = BatchPoints.database("test").tag("LineID", "5").tag("Phasic_Type", "A").retentionPolicy("").consistency(ConsistencyLevel.ALL).build();
        // 将两条记录添加到batchPoints中
        batchPoints2.point(point2);
        // 将不同的batchPoints序列化后，一次性写入数据库，提高写入速度
        List<String> records = new ArrayList<String>();
        records.add(batchPoints1.lineProtocol());
        records.add(batchPoints2.lineProtocol());
        // 将两条数据批量插入到数据库中
        influxDBUtil.batchInsert("test", "", ConsistencyLevel.ALL, TimeUnit.MILLISECONDS, records);
    }

    public static void batchInsertPqsCommunicate(InfluxDbUtils influxDBUtil) {
        Map<String, String> tags = new HashMap<>();
        tags.put("line_id", "025fa0e4c91f72ad7f1c1bd29026f20a");


        Map<String, Object> fields = new HashMap<>();
        fields.put("description", "在线");
        fields.put("type", 1);

        influxDBUtil.insert("pqs_communicate", tags, fields, System.currentTimeMillis()-170000000, TimeUnit.MILLISECONDS);

        Map<String, String> tags1 = new HashMap<>();
        tags1.put("line_id", "025fa0e4c91f72ad7f1c1bd29026f20a");


        Map<String, Object> fields1 = new HashMap<>();
        fields1.put("description", "掉线");
        fields1.put("type", 0);

        influxDBUtil.insert("pqs_communicate", tags1, fields1, System.currentTimeMillis()-70000000, TimeUnit.MILLISECONDS);
    }


}