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+#' Piirkonnale andmebaasides olevate punktide lisamine
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+#'
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+#' Etteantud piirkonna geomeetrilise piirjoone ('piir') ja selle joone piirikasti ('bb') järele leitakse nende aladega kaetud polügoonid. Andmed salvestatakse postgis andmebaasi.
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+#'
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+#' @param obj str Objekti nimi. Edaspidi on oluline ainult see nimi. Piirkonna geomeetrilist joont ei ole vaja lisada.
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+#' @param conf A list() of configuration variables. Default values \code{\link[ruut]{get_config}}.
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+#' @return Uute andmebaasi kihtide 'piir_...' ja 'bb_...' loomine.
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+#' @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_lisame_piirkonnale_punktid()],[ruut::pk_teisendame_polygoone()],[ruut::pk_teisendame_jooni()],[ruut::pk_teisendame_punkte()]
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+#' @keywords postgis, boundary box, EPSG:3301
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+#' @export
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+#' @examples
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+#' \dontrun{
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+#'
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+#' obj <- "marja"
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+#' pk_lisame_punktid(obj = obj, conf = NULL)
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+#'
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+#' # Layers list.
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+#' ruut::db_schema_tablenames(conf = conf)
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+#' }
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+pk_lisame_punktid <- function(obj = NULL, conf = NULL) {
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+ obj <- gsub(" ", "_", tolower(obj))
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+ ## Konfiguratsiooni muutujale väärtuste omistamine, kui seda pole antud.
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+ if (is.null(conf)) {
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+ conf <- ruut::get_config()
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+ conf$schema <- obj
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+ }
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+ if (!any("piir" %in% ruut::db_schema_tablenames(conf = conf))) {
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+ cat("\nAndmebaas loomata. Palun funktsiooniga ruut::pk_sellest_alustame_db_loomist() andmebaasi loomist.\n")
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+ return(NULL)
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+ }
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+
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+ ## ------------- muutujad ja teisendused ---------------
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+ conn <- ruut::db_connect(conf = conf)
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+ try(piir <- sf::st_read(dsn = conn, layer = c(conf$schema, "piir")))
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+ tmp_dir <- tempdir()
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+ tmp_gpkg_file <- sprintf("%s/%s.gpkg", tmp_dir, obj)
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+ # system(sprintf("touch %s", tmp_gpkg_file))
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+ conf$gpkg_home <- tmp_dir
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+ conf$gpkg_file <- obj
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+ conf$gpkg_table <- "test_layer"
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+ tmp_gpkg_file_output <- ruut::construct_to_gpkg_output_file_str(conf = conf, is_input_str = F)
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+ tmp_gpkg_file_input <- ruut::construct_to_gpkg_output_file_str(conf = conf, is_input_str = T)
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+ # write to gpkg
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+ sf::write_sf(piir, dsn = tmp_gpkg_file, layer = "piir", driver = "gpkg", fid_column_name = "id", delete_dsn = T)
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+ # unlink(tmp_gpkg_file)
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+
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+ ## Algorithm
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+ # ruut::qgis_algorithm_search_by_word(str = "extract")
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+ # algorithm <- "native:extractbylocation"
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+ # cat(qgisprocess::qgis_show_help(algorithm = algorithm))
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+
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+ ## -------------------- Loop -----------------------
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+ intersect_layers <- c("bb2") # c("piir", "bb", "bb2")
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+ andmed <- data.frame("schema" = character(0), "table" = character(0))
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+ andmed <- rbind(andmed, data.frame("schema" = "maaamet", "table" = "aadressandmed")) # POINT
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+ andmed <- rbind(andmed, data.frame("schema" = "osm_shp", "table" = "pofw"))
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+ andmed <- rbind(andmed, data.frame("schema" = "osm_shp", "table" = "pois"))
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+ andmed <- rbind(andmed, data.frame("schema" = "teeregister_wfs", "table" = "n_bussipeatus"))
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+ andmed <- rbind(andmed, data.frame("schema" = "teeregister_wfs", "table" = "kilomeetripostid"))
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+ andmed <- rbind(andmed, data.frame("schema" = "teeregister_wfs", "table" = "n_jaotus"))
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+ andmed <- rbind(andmed, data.frame("schema" = "teeregister_wfs", "table" = "n_kandur"))
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+ andmed <- rbind(andmed, data.frame("schema" = "teeregister_wfs", "table" = "n_mahasoit"))
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+ andmed <- rbind(andmed, data.frame("schema" = "teeregister_wfs", "table" = "n_onnetus"))
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+ andmed <- rbind(andmed, data.frame("schema" = "teeregister_wfs", "table" = "n_rdtyl"))
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+ andmed <- rbind(andmed, data.frame("schema" = "teeregister_wfs", "table" = "n_ristmik"))
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+ andmed <- rbind(andmed, data.frame("schema" = "teeregister_wfs", "table" = "n_ristumispunkt"))
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+ andmed <- rbind(andmed, data.frame("schema" = "teeregister_wfs", "table" = "n_sild"))
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+ andmed <- rbind(andmed, data.frame("schema" = "teeregister_wfs", "table" = "n_teeosa_points"))
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+ andmed <- rbind(andmed, data.frame("schema" = "teeregister_wfs", "table" = "n_ylek"))
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+ andmed <- rbind(andmed, data.frame("schema" = "eesti", "table" = "e_202_seisuveekogu_p"))
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+ andmed <- rbind(andmed, data.frame("schema" = "eesti", "table" = "e_301_muu_kolvik_p"))
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+ andmed <- rbind(andmed, data.frame("schema" = "eesti", "table" = "e_305_puittaimestik_p"))
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+ andmed <- rbind(andmed, data.frame("schema" = "eesti", "table" = "e_402_korgrajatis_p"))
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+ andmed <- rbind(andmed, data.frame("schema" = "eesti", "table" = "e_403_muu_rajatis_p"))
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+ andmed <- rbind(andmed, data.frame("schema" = "eesti", "table" = "e_602_tehnopaigaldis_p"))
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+ andmed <- rbind(andmed, data.frame("schema" = "eesti", "table" = "kirik_p"))
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+ andmed <- rbind(andmed, data.frame("schema" = "eesti", "table" = "kohanimi"))
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+ for (intersect in intersect_layers) {
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+ conf$table <- intersect
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+ conf$schema <- obj
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+ intersect_layer <- ruut::construct_to_gpkg_output_postgres_str(conf = conf, geometry_type = "Polygon", srid = 3301, checkPrimaryKeyUnicity = TRUE, key = "id")
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+ for (i in 1:nrow(andmed)) {
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+ ## teeregister_wfs andmebaasis on importimisel geomeetria välja tähistus 'geometry'.
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+ if (andmed$schema[i] %in% c("teeregister_wfs")) geom <- "geometry" else geom <- "geom"
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+ conf$table <- andmed$table[i]
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+ conf$schema <- andmed$schema[i]
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+ input <- ruut::construct_to_gpkg_output_postgres_str(
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+ conf = conf, geometry_type = "Point", srid = 3301,
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+ checkPrimaryKeyUnicity = TRUE, key = "id", geometry_field = geom
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+ )
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+ conf$table <- sprintf("%s", andmed$table[i])
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+ conf$schema <- obj
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+ output <- ruut::construct_to_gpkg_output_postgres_str(conf = conf, geometry_field = "geom", geometry_type = NULL, srid = 3301, checkPrimaryKeyUnicity = FALSE, key = "id")
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+ ## ------------------- QGIS: qgisprocess ----------------------
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+ str <- paste0("{ 'INPUT' : '", input, "', 'INTERSECT' : '", intersect_layer, "', 'OUTPUT' : '", output, "', 'PREDICATE' : [0] }")
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+ algorithm <- "native:extractbylocation"
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+ cmd <- ruut::construct_qgis_output_result_to_better_format(str = str, algorithm = algorithm)
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+ cat(sprintf("\n%s\n\n", cmd))
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+ system(cmd)
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+ ## Filtreerime aadressandmete kihi eraldi alamkihtideks
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+ if (andmed$table[i] == "aadressandmed") {
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+ aadressandmed <- unique(as.data.frame(sf::st_read(dsn = conn, layer = c(conf$schema, as.character(andmed$table[i])), as_tibble = T))[, c("adob_liik"), drop = FALSE])
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+ parent_table <- as.character(andmed$table[i])
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+ for (k in 1:nrow(aadressandmed)) {
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+ table_suffix <- aadressandmed$adob_liik[k]
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+ conf$table <- parent_table
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+ conf$schema <- obj
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+ input <- ruut::construct_to_gpkg_output_postgres_str(conf = conf, geometry_type = "Point", srid = 3301, checkPrimaryKeyUnicity = TRUE, key = "id")
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+ # sf::st_read(dsn = conn, layer = c(conf$schema, parent_table))
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+ conf$table <- sprintf("%s_%s", parent_table, table_suffix)
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+ output <- ruut::construct_to_gpkg_output_postgres_str(conf = conf, geometry_field = "geom", geometry_type = "Polygon", srid = 3301, checkPrimaryKeyUnicity = FALSE, key = "id")
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+ str <- paste0("{ 'INPUT' : '", input, "', 'INTERSECT' : '", intersect_layer, "', 'OUTPUT' : '", output, "', FIELD : 'adob_liik', OPERATOR : 0, VALUE : ", aadressandmed$adob_liik[k], " }")
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+ algorithm <- "native:extractbyattribute"
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+ cmd <- ruut::construct_qgis_output_result_to_better_format(str = str, algorithm = algorithm)
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+ cat(sprintf("\n%s\n", cmd))
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+ system(cmd)
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+ }
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+ }
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+ }
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+ }
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+ ## Layers list
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+ conf$schema <- obj
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+ ruut::db_schema_tablenames(conf = conf)
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+ sf::st_layers(dsn = tmp_gpkg_file)
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+}
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