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@@ -18,39 +18,24 @@
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#' ruut::db_schema_tablenames(conf = conf)
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#' }
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pk_lisame_polygoonid <- function(obj = NULL, conf = NULL) {
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- obj <- gsub(" ", "_", tolower(obj))
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+ ## ------------- muutujad ja teisendused ---------------
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+ vars <- ajutised_muutujad(pk = NULL, obj, conf)
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+ obj <- vars$obj
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+ piir <- vars$pk
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+ conf <- vars$conf
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## Konfiguratsiooni muutujale väärtuste omistamine, kui seda pole antud.
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- if (is.null(conf)) {
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- conf <- ruut::get_config()
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- conf$schema <- obj
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- }
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- if (!any("piir" %in% ruut::db_schema_tablenames(conf = conf))) {
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+ if (!any("a00_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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- ## ------------- 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(ruut::qgis_show_help(algorithm = algorithm))
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## -------------------- Loop -----------------------
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- intersect_layers <- c("bb2") # c("piir", "bb", "bb2")
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+ intersect_layers <- c("a00_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" = "osm_shp", "table" = "landuse_a"))
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andmed <- rbind(andmed, data.frame("schema" = "maaamet", "table" = "asustusyksus"))
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@@ -78,10 +63,13 @@ pk_lisame_polygoonid <- function(obj = NULL, conf = NULL) {
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andmed <- rbind(andmed, data.frame("schema" = "eesti", "table" = "e_501_tee_a"))
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andmed <- rbind(andmed, data.frame("schema" = "eesti", "table" = "e_505_liikluskorralduslik_rajatis_ka"))
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andmed <- rbind(andmed, data.frame("schema" = "eesti", "table" = "mullakaart"))
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+
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+
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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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+
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for (i in 1:nrow(andmed)) {
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if (andmed$schema[i] %in% c("teeregister_wfs")) geom <- "geometry" else geom <- "geom"
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conf$table <- andmed$table[i]
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@@ -90,7 +78,8 @@ pk_lisame_polygoonid <- function(obj = NULL, conf = NULL) {
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conf = conf, geometry_type = "Polygon", srid = 3301,
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checkPrimaryKeyUnicity = TRUE, key = "id", geometry_field = geom
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)
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- conf$table <- sprintf("%s", andmed$table[i])
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+ ## Andmebaasi tabeli nimi: 2 esimest tähte tuleb schema nimest millest on andmed võetud, siis '_a_' s.o 'area' mis tähistab polügoone.
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+ conf$table <- sprintf("%s_a_%s", strtrim(as.character(andmed$schema[i]), 2), andmed$table[i])
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conf$schema <- obj
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output <- ruut::construct_to_gpkg_output_postgres_str(conf = conf, geometry_field = "geom", geometry_type = NULL, srid = 3301, checkPrimaryKeyUnicity = FALSE, key = "id")
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str <- paste0("{ 'INPUT' : '", input, "', 'INPUT_FIELDS' : [], 'OUTPUT' : '", output, "', 'OVERLAY' : '", intersect_layer, "', 'OVERLAY_FIELDS' : [], 'OVERLAY_FIELDS_PREFIX' : '' }")
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@@ -98,10 +87,12 @@ pk_lisame_polygoonid <- function(obj = NULL, conf = NULL) {
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cmd <- ruut::construct_qgis_output_result_to_better_format(str = str, algorithm = algorithm)
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cat(sprintf("\n%s\n\n", cmd))
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system(cmd)
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- ## Filtreerime maakasutuse kihi 'landuse-a' eraldi alamkihtideks
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+
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+ ## Filtreerime mõned andmetabelid eraldi alamkihtideks
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if (andmed$table[i] == "landuse_a") {
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- landuse_a <- unique(as.data.frame(sf::st_read(dsn = conn, layer = c(conf$schema, as.character(andmed$table[i])), as_tibble = T))[, c("code", "fclass")])
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- parent_table <- as.character(andmed$table[i])
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+ parent_table <- sprintf("%s_a_%s", strtrim(as.character(andmed$schema[i]), 2), andmed$table[i])
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+ conn <- ruut::db_connect(conf = conf)
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+ landuse_a <- unique(as.data.frame(sf::st_read(dsn = conn, layer = c(conf$schema, parent_table), as_tibble = T))[, c("code", "fclass")])
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for (k in 1:nrow(landuse_a)) {
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table_suffix <- landuse_a$fclass[k]
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conf$table <- parent_table
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@@ -117,10 +108,11 @@ pk_lisame_polygoonid <- function(obj = NULL, conf = NULL) {
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system(cmd)
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}
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}
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- ## Filtreerime hoonete kihi 'landuse-a' eraldi tüübi järele alamkihtideks
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+ ## Filtreerime mõned andmetabelid eraldi alamkihtideks
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if (andmed$table[i] == "e_401_hoone_ka") {
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- alamobjektid <- unique(as.data.frame(sf::st_read(dsn = conn, layer = c(conf$schema, as.character(andmed$table[i])), as_tibble = T))[, c("kood", "tyyp")])
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- parent_table <- as.character(andmed$table[i])
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+ parent_table <- sprintf("%s_a_%s", strtrim(as.character(andmed$schema[i]), 2), andmed$table[i])
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+ conn <- ruut::db_connect(conf = conf)
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+ alamobjektid <- unique(as.data.frame(sf::st_read(dsn = conn, layer = c(conf$schema, parent_table), as_tibble = T))[, c("kood", "tyyp")])
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for (k in 1:nrow(alamobjektid)) {
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table_suffix <- alamobjektid$tyyp[k]
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conf$table <- parent_table
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@@ -154,5 +146,5 @@ pk_lisame_polygoonid <- function(obj = NULL, conf = NULL) {
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## Layers list
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conf$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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+ sf::st_layers(dsn = vars$tmp_gpkg_file)
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}
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