ruut/R/pk_lisame_punktid.R

#' Piirkonnale andmebaasides olevate punktide lisamine
#'
#' Etteantud piirkonna geomeetrilise piirjoone ('piir') ja selle joone piirikasti ('bb') järele leitakse nende aladega kaetud polügoonid. Andmed salvestatakse postgis andmebaasi.
#'
#' @param obj str Objekti nimi. Edaspidi on oluline ainult see nimi. Piirkonna geomeetrilist joont ei ole vaja lisada.
#' @param conf A list() of configuration variables. Default values \code{\link[ruut]{get_config}}.
#' @return Uute andmebaasi kihtide 'piir_...' ja 'bb_...' loomine.
#' @seealso [sf::st_read()], [sf::write_sf()],[sf::st_transform()],[ruut::pk_sellest_alustame_db_loomist()],[ruut::pk_lisame_ruudustikud()] ,[ruut::pk_lisame_polygoonid()],[ruut::pk_lisame_jooned()],[ruut::pk_lisame_punktid()],[ruut::pk_teisendame_polygoone()],[ruut::pk_teisendame_jooni()],[ruut::pk_teisendame_punkte()]
#' @keywords postgis, boundary box, EPSG:3301
#' @export
#' @examples
#' \dontrun{
#'
#' obj <- "marja"
#' pk_lisame_punktid(obj = obj, conf = NULL)
#'
#' # Layers list.
#' ruut::db_schema_tablenames(conf = conf)
#' }
pk_lisame_punktid <- function(obj = NULL, conf = NULL) {
  ## ------------- muutujad ja teisendused ---------------
  vars <- ajutised_muutujad(pk = NULL, obj, conf)
  obj <- vars$obj
  piir <- vars$pk
  conf <- vars$conf
  ## Konfiguratsiooni muutujale väärtuste omistamine, kui seda pole antud.
  if (!any("a00_piir" %in% ruut::db_schema_tablenames(conf = conf))) {
    cat(
      "\nAndmebaas loomata. Palun funktsiooniga ruut::pk_sellest_alustame_db_loomist() andmebaasi loomist.\n"
    )
    return(NULL)
  }

  ## Algorithm
  # ruut::qgis_algorithm_search_by_word(str = "extract")
  # algorithm <- "native:extractbylocation"
  # cat(qgisprocess::qgis_show_help(algorithm = algorithm))

  ## -------------------- Loop -----------------------
  intersect_layers <- c("a00_bb2") # c("piir", "bb", "bb2")
  andmed <-
    data.frame("schema" = character(0), "table" = character(0))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "maaamet", "table" = "aadressandmed")) # POINT
  andmed <-
    rbind(andmed, data.frame("schema" = "osm_shp", "table" = "pofw"))
  andmed <-
    rbind(andmed, data.frame("schema" = "osm_shp", "table" = "pois"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "teeregister_wfs", "table" = "n_bussipeatus"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "teeregister_wfs", "table" = "kilomeetripostid"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "teeregister_wfs", "table" = "n_jaotus"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "teeregister_wfs", "table" = "n_kandur"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "teeregister_wfs", "table" = "n_mahasoit"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "teeregister_wfs", "table" = "n_onnetus"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "teeregister_wfs", "table" = "n_rdtyl"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "teeregister_wfs", "table" = "n_ristmik"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "teeregister_wfs", "table" = "n_ristumispunkt"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "teeregister_wfs", "table" = "n_sild"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "teeregister_wfs", "table" = "n_teeosa_points"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "teeregister_wfs", "table" = "n_ylek"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "eesti", "table" = "e_202_seisuveekogu_p"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "eesti", "table" = "e_301_muu_kolvik_p"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "eesti", "table" = "e_305_puittaimestik_p"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "eesti", "table" = "e_402_korgrajatis_p"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "eesti", "table" = "e_403_muu_rajatis_p"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "eesti", "table" = "e_602_tehnopaigaldis_p"))
  andmed <-
    rbind(andmed, data.frame("schema" = "eesti", "table" = "kirik_p"))
  andmed <-
    rbind(andmed, data.frame("schema" = "eesti", "table" = "kohanimi"))
  andmed <-
    rbind(andmed, data.frame("schema" = "minu_teed", "table" = "nodes"))
  andmed <-
    rbind(andmed,
          data.frame("schema" = "minu_teed", "table" = "gtfs_stops"))
  ## Tabelid mis on juba andmebaasis ja mida ümber ei kirjutata.
  olemasolevad_tabelid <- ruut::db_schema_tablenames(conf = conf)
  for (intersect in intersect_layers) {
    conf$table <- intersect
    conf$schema <- obj
    intersect_layer <-
      ruut::construct_to_gpkg_output_postgres_str(
        conf = conf,
        geometry_type = "Polygon",
        srid = 3301,
        checkPrimaryKeyUnicity = TRUE,
        key = "id"
      )
    for (i in 1:nrow(andmed)) {
      cat("\n\n\n==========================================\n\n")
      cat(sprintf("Tabel: %s.%s", andmed[i, "schema"], andmed[i, "table"]))
      cat("\n==========================================\n\n")
      ## Kui olemasolev tabel eksisteerib andmebaasis, siis jätame arvutused
      ## selle tabeliga vahele.
      uus_tabel <- sprintf("data_p_%s_%s",
                           strtrim(as.character(andmed$schema[i]), 2),
                           andmed$table[i])
      if (uus_tabel %in% olemasolevad_tabelid) {
        cat("\nTabel on juba andmebaasis olemas.\n")
        next
      }
      ## Osadel tabelitel andmebaasisvõib olla geomeetria välja tähistus 'geometry'.
      geom <- "geom"
      # if (andmed$schema[i] %in% c("gtfs")) geom <- "geometry"
      conf$table <- andmed$table[i]
      conf$schema <- andmed$schema[i]
      input <- ruut::construct_to_gpkg_output_postgres_str(
        conf = conf,
        geometry_type = "Point",
        srid = 3301,
        checkPrimaryKeyUnicity = TRUE,
        key = "id",
        geometry_field = geom
      )
      conf$table <-
        sprintf("data_p_%s_%s",
                strtrim(as.character(andmed$schema[i]), 2),
                andmed$table[i])
      conf$schema <- obj
      output <-
        ruut::construct_to_gpkg_output_postgres_str(
          conf = conf,
          geometry_field = "geom",
          geometry_type = NULL,
          srid = 3301,
          checkPrimaryKeyUnicity = FALSE,
          key = "id"
        )
      ## ------------------- QGIS: qgisprocess ----------------------
      str <-
        paste0(
          "{ 'INPUT' : '",
          input,
          "', 'INTERSECT' : '",
          intersect_layer,
          "', 'OUTPUT' : '",
          output,
          "', 'PREDICATE' : [0] }"
        )
      algorithm <- "native:extractbylocation"
      cmd <-
        ruut::construct_qgis_output_result_to_better_format(str = str, algorithm = algorithm)
      cat(sprintf("\n%s\n\n", cmd))
      system(cmd)
      ## Filtreerime aadressandmete kihi eraldi alamkihtideks
      if (andmed$table[i] == "aadressandmed") {
        parent_table <-
          sprintf("data_p_%s_%s",
                  strtrim(as.character(andmed$schema[i]), 2),
                  andmed$table[i])
        conn <- ruut::db_connect(conf = conf)
        aadressandmed <-
          unique(as.data.frame(sf::st_read(
            dsn = conn,
            layer = c(conf$schema, parent_table),
            as_tibble = T
          ))[, c("adob_liik"), drop = FALSE])
        DBI::dbDisconnect(conn)
        for (k in 1:nrow(aadressandmed)) {
          table_suffix <- aadressandmed$adob_liik[k]
          conf$table <- parent_table
          conf$schema <- obj
          input <-
            ruut::construct_to_gpkg_output_postgres_str(
              conf = conf,
              geometry_type = "Point",
              srid = 3301,
              checkPrimaryKeyUnicity = TRUE,
              key = "id"
            )
          # sf::st_read(dsn = conn, layer = c(conf$schema, parent_table))
          conf$table <- sprintf("%s_%s", parent_table, table_suffix)
          output <-
            ruut::construct_to_gpkg_output_postgres_str(
              conf = conf,
              geometry_field = "geom",
              geometry_type = "Polygon",
              srid = 3301,
              checkPrimaryKeyUnicity = FALSE,
              key = "id"
            )
          str <-
            paste0(
              "{ 'INPUT' : '",
              input,
              "', 'INTERSECT' : '",
              intersect_layer,
              "', 'OUTPUT' : '",
              output,
              "', FIELD : 'adob_liik', OPERATOR : 0, VALUE : ",
              aadressandmed$adob_liik[k],
              " }"
            )
          algorithm <- "native:extractbyattribute"
          cmd <-
            ruut::construct_qgis_output_result_to_better_format(str = str, algorithm = algorithm)
          cat(sprintf("\n%s\n", cmd))
          system(cmd)
        }
      }
    }
  }
  ## Layers list
  conf$schema <- obj
  ruut::db_schema_tablenames(conf = conf)
  sf::st_layers(dsn = vars$tmp_gpkg_file)
}