package com.gmei

import java.io.Serializable

import com.gmei.WeafareStat.{defaultParams, parser}
import org.apache.spark.sql.{SaveMode, TiContext}
import org.apache.log4j.{Level, Logger}
import scopt.OptionParser
import com.gmei.lib.AbstractParams
import com.gmei.GmeiConfig.{writeToJDBCTable,getMinusNDate}

object testt {

  Logger.getLogger("org.apache.spark").setLevel(Level.WARN)
  Logger.getLogger("org.apache.eclipse.jetty.server").setLevel(Level.OFF)

  case class Params(env: String = "dev"
                   ) extends AbstractParams[Params] with Serializable

  val defaultParams = Params()

  val parser = new OptionParser[Params]("Feed_EDA") {
    head("WeafareStat")
    opt[String]("env")
      .text(s"the databases environment you used")
      .action((x, c) => c.copy(env = x))
    note(
      """
        |For example, the following command runs this app on a tidb dataset:
        |
        | spark-submit --class com.gmei.WeafareStat ./target/scala-2.11/feededa-assembly-0.1.jar \
      """.stripMargin +
        s"|   --env ${defaultParams.env}"
    )
  }

  def main(args: Array[String]): Unit = {
    parser.parse(args, defaultParams).map { param =>
      GmeiConfig.setup(param.env)
      val spark_env = GmeiConfig.getSparkSession()
      val sc = spark_env._2

      val ti = new TiContext(sc)
      ti.tidbMapTable(dbName = "jerry_prod", tableName = "diary_video")
      ti.tidbMapTable(dbName = "jerry_prod", tableName = "data_feed_click")
      ti.tidbMapTable(dbName = "jerry_prod", tableName = "blacklist")
      ti.tidbMapTable(dbName = "jerry_prod", tableName = "data_feed_exposure")


      //机构id
//      val agency_id = sc.sql(
//        s"""
//           |SELECT DISTINCT(cl_id) as device_id
//           |FROM online.ml_hospital_spam_pv_day
//           |WHERE partition_date >= '20180402'
//           |AND partition_date <= '20181203'
//           |AND pv_ratio >= 0.95
//           |UNION ALL
//           |SELECT DISTINCT(cl_id) as device_id
//           |FROM online.ml_hospital_spam_pv_month
//           |WHERE partition_date >= '20171101'
//           |AND partition_date <= '20181203'
//           |AND pv_ratio >= 0.95
//         """.stripMargin
//      )
////      agency_id.show()
//      agency_id.createOrReplaceTempView("agency_id")
      val a = Array("answer_detail","article_detail","diary_detail","home_page","question_detail","search_content","search_diary")
      for (i <- 0 until a.length){
        val diary_pv = sc.sql(
          s"""
             |select partition_date,count(cl_id)
             |from online.ml_community_exposure_detail
             |where business_type ='diary'
             |and partition_date >='20181120'
             |and event='${a(i)}'
             |GROUP BY partition_date
             |order by partition_date
           """.stripMargin
        )
        println("该来源的数据为："+ a(i))
        diary_pv.show()
      }


//      val diary_pv = sc.sql(
//        s"""
//           |select partition_date,count(cl_id)
//           |from online.tl_hdfs_maidian_view
//           |where action ='on_click_diary_card'
//           |and params["page_name"]="home"
//           |and params["tab_name"]="精选"
//           |and partition_date >='20181120'
//           |GROUP BY partition_date
//           |order by partition_date
//           """.stripMargin
//      )
//      diary_pv.show()




//      GmeiConfig.writeToJDBCTable(view_count, "avg", SaveMode.Overwrite)




      }

    }


}