Refactor to one scheduler, separated csv/grib under one folder
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package fetch.dmi
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import cats.effect._
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import cats.implicits.toTraverseOps
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import data.DataService
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import fs2.io.file.{CopyFlag, CopyFlags, Files, Path}
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import io.circe.Json
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import io.circe.parser.decode
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import org.http4s._
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import org.http4s.ember.client.EmberClientBuilder
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import org.typelevel.log4cats.Logger
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import org.typelevel.log4cats.slf4j.Slf4jLogger
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import parse.grib.GribParser
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import java.time.ZonedDateTime
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import scala.util.Try
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final case class HarmonieServerConfig(
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api_key: String,
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url: String,
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)
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object FetchService {
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def of(dataService: DataService): IO[FetchService] = {
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Slf4jLogger.create[IO].map(logger => new FetchService(dataService, logger))
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}
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}
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class FetchService(dataService: DataService, log: Logger[IO]) {
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private val edrConfig: HarmonieServerConfig = (
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sys.env.get("HARMONIE_EDR_API_KEY"),
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sys.env.get("HARMONIE_EDR_URL"),
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) match {
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case (Some(api_key), Some(url)) =>
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HarmonieServerConfig(api_key, url)
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case _ =>
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throw new RuntimeException("Unable to load harmonie edr config: Missing required environment variables")
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}
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private val stacConfig: HarmonieServerConfig = (
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sys.env.get("HARMONIE_STAC_API_KEY"),
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sys.env.get("HARMONIE_STAC_URL"),
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) match {
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case (Some(api_key), Some(url)) =>
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HarmonieServerConfig(api_key, url)
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case _ =>
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throw new RuntimeException("Unable to load harmonie stac config: Missing required environment variables")
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}
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/*
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https://dmigw.govcloud.dk/v1/forecastedr/collections/harmonie_dini_sf/grib
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?parameter-name=temperature-2m
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&datetime=2025-01-28T00:00:00Z
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&api-key=b12d36c7-d7ba-4dca-9bc9-de0c9c27435f
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*/
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private val edrBaseUrl: IO[Uri] = IO(Uri.unsafeFromString(edrConfig.url))
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private val stacBaseUrl: IO[Uri] = IO(Uri.unsafeFromString(stacConfig.url))
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def fetchFromList(timeList: List[ZonedDateTime]): IO[List[String]] = {
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timeList.traverse { time =>
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fetchFromDateTime(time)
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}
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}
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private def fetchFromDateTime(time: ZonedDateTime): IO[String] = {
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EmberClientBuilder.default[IO].build.use { client =>
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for {
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base <- edrBaseUrl
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queryParams = Query.fromPairs(
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// https://opendatadocs.dmi.govcloud.dk/Data/Forecast_Data_Weather_Model_HARMONIE_DINI_EDR
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"parameter-name" -> "temperature-2m,total-precipitation,precipitation-type,wind-speed,gust-wind-speed-10m,wind-10m-u,wind-10m-v",
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"datetime" -> time.toString,
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"api-key" -> edrConfig.api_key,
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)
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urlWithParams = Uri.unsafeFromString(s"${base.toString}?${queryParams.toString}")
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request = Request[IO](Method.GET, urlWithParams)
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// TODO proly better to call dataService method than property
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tmpPath = Path(s"${dataService.GRIB_FOLDER}/tmp.grib")
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_ <- client.stream(request)
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.flatMap(_.body)
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.through(Files[IO].writeAll(tmpPath))
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.compile
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.drain
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gribList <- GribParser.parseFile(tmpPath)
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gribTime = gribList.head.time
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fileName = Path(s"${dataService.GRIB_FOLDER}/harmonie_${gribTime.referenceTime}_${gribTime.forecastTime}.grib".replace(":", ""))
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_ <- Files[IO].move(tmpPath, fileName, CopyFlags.apply(CopyFlag.ReplaceExisting))
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fileSizeBytes <- Files[IO].size(fileName)
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fileSizeMB = fileSizeBytes.toDouble / (1024 * 1024)
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_ <- log.info(s" ${"%.1f".format(fileSizeMB)} MB - ${fileName.fileName}")
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} yield fileName.toString
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}
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}
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/**
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* get latest model run from STAC API
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* check local forecast grib files not to download them again
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* fetch those forecasts
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*/
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def fetchRecentForecasts(): IO[List[String]] = {
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for {
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dateTimeList <- generateFetchList()
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resultList <- fetchFromList(dateTimeList)
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_ <- IO.println("finish grib downloads")
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} yield resultList
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}
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def generateFetchList(): IO[List[ZonedDateTime]] = {
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for {
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availableResult <- fetchAvailableForecasts()
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(modelRun, forecastDateList) = availableResult
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localForecasts <- dataService.getForecasts()
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toFetchList = forecastDateList.filter(dateTime => !localForecasts.contains((modelRun, dateTime)))
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} yield toFetchList
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}
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def fetchAvailableForecasts(): IO[(ZonedDateTime, List[ZonedDateTime])] = {
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EmberClientBuilder.default[IO].build.use { client =>
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for {
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base <- stacBaseUrl
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queryParams = Query.fromPairs(
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"api-key" -> stacConfig.api_key,
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)
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urlWithParams = Uri.unsafeFromString(s"${base.toString}?${queryParams.toString}")
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request = Request[IO](Method.GET, urlWithParams).withHeaders(org.http4s.headers.Accept(org.http4s.MediaType.application.json))
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response <- client.expect[String](request)
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json <- IO.fromEither(decode[Json](response))
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result <- IO {
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val features = json.hcursor.downField("features").values.getOrElse(List.empty)
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val dateTimePairs = features.flatMap { feature =>
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for {
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properties <- feature.hcursor.downField("properties").focus
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modelRun <- properties.hcursor.downField("modelRun").as[String].toOption
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datetime <- properties.hcursor.downField("datetime").as[String].toOption
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parsedModelRun <- Try(ZonedDateTime.parse(modelRun)).toOption
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parsedDateTime <- Try(ZonedDateTime.parse(datetime)).toOption
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} yield (parsedModelRun, parsedDateTime)
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}
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val latestModelRun = dateTimePairs.map(_._1).max
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val datetimesForLatestRun = dateTimePairs
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.filter(_._1 == latestModelRun)
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.map(_._2)
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.toList
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.sorted
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(latestModelRun, datetimesForLatestRun)
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}
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} yield result
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}
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}
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}
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