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esri-featureset-string.R
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esri-featureset-string.R
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#' @export
#' @rdname featureset
as_esri_featureset <- function(x, crs = sf::st_crs(x), call = rlang::caller_env()) {
# class check
valid_sfg_classes <- c(
"sf",
"data.frame",
"sfc"
)
# exit if an invalid geometry type is provided
if (!rlang::inherits_any(x, valid_sfg_classes)) {
cli::cli_abort(
"{.arg x} must inherit one of the following classes {.cls {valid_sfg_classes}}",
call = call
)
}
sr <- validate_crs(crs)[[1]] %||% list()
# store the class name to be used in a switch statement
x_class <- inherits_which(x, valid_sfg_classes)[1]
switch(x_class,
"sf" = as_esri_featureset_sf(x, sr, call = call),
"data.frame" = as_esri_featureset_sf(x, sr, call = call),
"sfc" = as_esri_featureset_sfc(x, sr, call = call)
)
}
as_esri_featureset_sfc <- function(x, crs = NULL, call = rlang::caller_env()) {
# TODO handle CRS
sr <- crs %||% list()
# class check
valid_sfg_classes <- c(
"sfc_POINT",
"sfc_MULTIPOINT",
"sfc_LINESTRING",
"sfc_MULTILINESTRING",
"sfc_POLYGON",
"sfc_MULTIPOLYGON"
)
# exit if an invalid geometry type is provided
if (!rlang::inherits_any(x, valid_sfg_classes)) {
cli::cli_abort(
"{.arg x} must inherit one of the following classes {.cls {valid_sfg_classes}}",
call = call
)
}
# store the class name to be used in a switch statement
sfc_class <- inherits_which(x, valid_sfg_classes)
# dimension check
z <- has_z(x)
m <- has_m(x)
# abort if 4D
if (z && m) {
cli::cli_abort(
c(
"{.cls XYZM} geometries detected. Only {.cls XY}, {.cls XYZ}, and {.cls XYM} geometries supported. ",
">" = "{.href [please make an issue on GitHub](https://github.com/r-arcgis/arcgisutils)}"
),
call = call
)
}
# determine if 3D
three_dim <- z || m
# switch based on dimensions
if (three_dim) {
switch(sfc_class,
"sfc_POINT" = sfc_point_featureset_3d_string(x, sr),
"sfc_MULTIPOINT" = sfc_multipoint_featureset_3d_string(x, sr),
"sfc_LINESTRING" = sfc_linestring_featureset_3d_string(x, sr),
"sfc_MULTILINESTRING" = sfc_multilinestring_featureset_3d_string(x, sr),
"sfc_POLYGON" = sfc_polygon_featureset_3d_string(x, sr),
"sfc_MULTIPOLYGON" = sfc_multipolygon_featureset_3d_string(x, sr),
)
} else {
switch(sfc_class,
"sfc_POINT" = sfc_point_featureset_2d_string(x, sr),
"sfc_MULTIPOINT" = sfc_multipoint_featureset_2d_string(x, sr),
"sfc_LINESTRING" = sfc_linestring_featureset_2d_string(x, sr),
"sfc_MULTILINESTRING" = sfc_multilinestring_featureset_2d_string(x, sr),
"sfc_POLYGON" = sfc_polygon_featureset_2d_string(x, sr),
"sfc_MULTIPOLYGON" = sfc_multipolygon_featureset_2d_string(x, sr),
)
}
}
as_esri_featureset_sf <- function(x, crs = NULL, call = rlang::caller_env()) {
# must be a data.frame
check_data_frame(x)
# TODO handle CRS
sr <- crs %||% list()
# get the geometry column
geom_col <- attr(x, "sf_column") %||% ""
# if it is null then make it into a list
.geoms <- x[[geom_col]] %||% list()
# determine dims
if (rlang::is_empty(.geoms)) {
z <- FALSE
m <- FALSE
} else {
z <- has_z(.geoms)
m <- has_m(.geoms)
}
# abort if 4D
if (z && m) {
cli::cli_abort(
c(
"{.cls XYZM} geometries detected. Only {.cls XY}, {.cls XYZ}, and {.cls XYM} geometries supported. ",
">" = "{.href [please make an issue on GitHub](https://github.com/r-arcgis/arcgisutils)}"
),
call = call
)
}
# check if three dim
three_dim <- z || m
# extract the data.frame without using sf
# we would otherwise use st_drop_geometry
.data <- x
.data[[geom_col]] <- NULL
# we've verified that x is a data.frame so here we remove any other subclasses
attr(.data, "class") <- "data.frame"
# find any factors and convert them to character
factor_check <- which(vapply(.data, is.factor, logical(1)))
# convert to factor
# this wont execute if there aren't any factors
for (idx in factor_check) {
.data[[idx]] <- as.character(.data[[idx]])
}
are_dates <- which(vapply(.data, is_date, logical(1)))
for (col in are_dates) {
.data[[col]] <- date_to_ms(x[[col]])
}
# find columns that cannot be supported
esri_types <- infer_esri_type(.data)
invalid_types <- is.na(esri_types$type)
bad_names <- esri_types$name[invalid_types]
# here we extract the friendly label for error printing
bad_types <- lapply(.data[, invalid_types], obj_type_friendly)
# report an error in the case that theres a list column or something else weird
if (!rlang::is_empty(bad_types)) {
cli::cli_abort(
c(
"{.var {bad_names}} cannot be converted into EsriJSON. Found {bad_types}"
),
call = call
)
}
# use the appropriate function based on if there is a Z or M value
# note that st_as_features_2d is used in the case of data.frame
if (three_dim) {
as_featureset_3d_string(.data, .geoms, nrow(.data), sr)
} else {
as_featureset_2d_string(.data, .geoms, nrow(.data), sr)
}
}