From 13e0bcf8f6bc3ffeda8c973236ea7b01b989ed04 Mon Sep 17 00:00:00 2001 From: mike Date: Mon, 4 Sep 2023 21:30:51 +1000 Subject: [PATCH] GeoJSON fixes and extended tests --- DESCRIPTION | 3 +- NEWS.md | 7 + R/R-yyjson.R | 20 +- README.Rmd | 40 ++- README.md | 91 +++--- man/benchmark/benchmarks.Rmd | 8 +- man/figures/benchmark-summary.png | Bin 260679 -> 262414 bytes man/from_opts.Rd | 9 + src/R-yyjson-parse.c | 19 +- src/R-yyjson-parse.h | 1 + src/geojson-serialize.c | 31 +- src/geojson.c | 38 ++- tests/testthat/test-geojson-deep-remix.R | 261 +++++++++++++++++ .../testthat/test-geojson-promotion-compat.R | 50 ++++ tests/testthat/test-geojson-write.R | 266 +++++++++--------- tests/testthat/test-json_promotion.R | 21 ++ vignettes/from_json_options.Rmd | 31 ++ 17 files changed, 676 insertions(+), 220 deletions(-) create mode 100644 tests/testthat/test-geojson-deep-remix.R create mode 100644 tests/testthat/test-geojson-promotion-compat.R create mode 100644 tests/testthat/test-json_promotion.R diff --git a/DESCRIPTION b/DESCRIPTION index 1e402b9..2000e43 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: yyjsonr Type: Package Title: Fast JSON, GeoJSON and NDJSON Parsing and Serialisation -Version: 0.1.5 +Version: 0.1.6 Authors@R: c( person("Mike", "FC", role = c("aut", "cre"), email = "mikefc@coolbutuseless.com"), person("Yao", "Yuan", role = "cph", email = "ibireme@gmail.com", @@ -17,6 +17,7 @@ Suggests: bit64, knitr, rmarkdown, + jsonlite, testthat (>= 3.0.0) Config/testthat/edition: 3 VignetteBuilder: knitr diff --git a/NEWS.md b/NEWS.md index 4903e33..6c4c8a9 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,11 @@ +# yyjsonr 0.1.6 2023-09-04 + +* FEATURE: Added `promote_num_to_string` in `from_opts()` to enable + forced promotion of numerics to string +* BUGFIX: fixes for handling of geometry collection when reading and writing. +* TESTING: More tests included for output to geojson +* TESTING: Refactored testing of 'sf' objects # yyjsonr 0.1.5 2023-08-31 diff --git a/R/R-yyjson.R b/R/R-yyjson.R index ee5e01c..d6a6975 100644 --- a/R/R-yyjson.R +++ b/R/R-yyjson.R @@ -186,18 +186,26 @@ write_flag <- list( #' @param num_specials Should jsong strings 'NA'/'Inf'/'NaN' in a numeric context #' be converted to the \code{'special'} R numeric values #' \code{NA, Inf, NaN}, or left as a \code{'string'}. Default: 'special' +#' @param promote_num_to_string Should numeric values be promoted to strings +#' when they occur within an array with other string values? Default: FALSE +#' means to keep numerics as numeric value and promote the \emph{container} to +#' be a \code{list} rather than an atomic vector when types are mixed. If \code{TRUE} +#' then array of mixed string/numeric types will be promoted to all +#' string values and returned as an atonic character vector. Set this to \code{TRUE} +#' if you want to emulate the behaviour of \code{jsonlite::fromJSON()} #' #' @seealso [read_flag()] #' @return Named list of options #' @export #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ from_opts <- function( - int64 = c('string', 'bit64'), - missing_list_elem = c('null', 'na'), - vectors_to_df = TRUE, - str_specials = c('string', 'special'), - num_specials = c('special', 'string'), - yyjson_read_flag = 0L + int64 = c('string', 'bit64'), + missing_list_elem = c('null', 'na'), + vectors_to_df = TRUE, + str_specials = c('string', 'special'), + num_specials = c('special', 'string'), + promote_num_to_string = FALSE, + yyjson_read_flag = 0L ) { structure( diff --git a/README.Rmd b/README.Rmd index 6bc3559..48b6dd9 100644 --- a/README.Rmd +++ b/README.Rmd @@ -37,7 +37,7 @@ if (FALSE) { [![R-CMD-check](https://github.com/coolbutuseless/yyjsonr/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/coolbutuseless/yyjsonr/actions/workflows/R-CMD-check.yaml) -`{yyjsonr}` is a fast JSON parser/serializer, which converts R data to/from JSON and NDJSON. +`{yyjsonr}` is a fast JSON parser/serializer, which converts R data to/from JSON, GeoJSON and NDJSON. In most cases it is around 2x to 10x faster than `{jsonlite}` at both reading and writing JSON. @@ -137,22 +137,6 @@ No 'digits' argument Numeric conversion is handled within the `yyjson` C library and is not configuraable. -Numeric types retained in presence of other strings ------------------------------------------------------------------------------ - -`{yyjsonr}` does not promote numeric values in arrays to strings if the array -contains a string. Instead the R container is promoted to a `list()` in order -to retain original types. - -Note: this could be controlled by a flag if desired. Open an issue and let -me know what you need! - -```{r} -json <- '[1,2,3,"apple"]' -jsonlite::fromJSON(json) -yyjsonr::from_json_str(json) -``` - 3-d arrays are parsed as multiple 2-d matrices and combined ----------------------------------------------------------------------------- @@ -165,17 +149,31 @@ consistent within each package, but not cross-compatible between them i.e. you cannot serialize an array in `{yyjsonr}` and re-create it exactly using `{jsonlite}`. +The matrix handling in `{yyjsonr}` is compatible with the expectationf os GeoJSON +coordinate handling. + ```{r} +# A simple 3D array mat <- array(1:12, dim = c(2,3,2)) mat +``` + -str <- jsonlite::toJSON(mat) -str +```{r} +# jsonlite's serialization of matrices is internally consistent and re-parses +# to the initial matrix. +str <- jsonlite::toJSON(mat, pretty = TRUE) +cat(str) jsonlite::fromJSON(str) +``` -str <- yyjsonr::to_json_str(mat) -str +```{r} +# yyjsonr's serialization of matrices is internally consistent and re-parses +# to the initial matrix. +# But note that it is *different* to what jsonlite does. +str <- yyjsonr::to_json_str(mat, pretty = TRUE) +cat(str) yyjsonr::from_json_str(str) ``` diff --git a/README.md b/README.md index 8f0c442..295dab3 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,7 @@ yyjsonr `{yyjsonr}` is a fast JSON parser/serializer, which converts R data -to/from JSON and NDJSON. +to/from JSON, GeoJSON and NDJSON. In most cases it is around 2x to 10x faster than `{jsonlite}` at both reading and writing JSON. @@ -140,33 +140,6 @@ from_json_str(str) Numeric conversion is handled within the `yyjson` C library and is not configuraable. -## Numeric types retained in presence of other strings - -`{yyjsonr}` does not promote numeric values in arrays to strings if the -array contains a string. Instead the R container is promoted to a -`list()` in order to retain original types. - -Note: this could be controlled by a flag if desired. Open an issue and -let me know what you need! - -``` r -json <- '[1,2,3,"apple"]' -jsonlite::fromJSON(json) -#> [1] "1" "2" "3" "apple" -yyjsonr::from_json_str(json) -#> [[1]] -#> [1] 1 -#> -#> [[2]] -#> [1] 2 -#> -#> [[3]] -#> [1] 3 -#> -#> [[4]] -#> [1] "apple" -``` - ## 3-d arrays are parsed as multiple 2-d matrices and combined In `{yyjsonr}` the order in which elements in an array are serialized to @@ -178,7 +151,11 @@ consistent within each package, but not cross-compatible between them i.e. you cannot serialize an array in `{yyjsonr}` and re-create it exactly using `{jsonlite}`. +The matrix handling in `{yyjsonr}` is compatible with the expectationf +os GeoJSON coordinate handling. + ``` r +# A simple 3D array mat <- array(1:12, dim = c(2,3,2)) mat #> , , 1 @@ -192,10 +169,25 @@ mat #> [,1] [,2] [,3] #> [1,] 7 9 11 #> [2,] 8 10 12 +``` -str <- jsonlite::toJSON(mat) -str -#> [[[1,7],[3,9],[5,11]],[[2,8],[4,10],[6,12]]] +``` r +# jsonlite's serialization of matrices is internally consistent and re-parses +# to the initial matrix. +str <- jsonlite::toJSON(mat, pretty = TRUE) +cat(str) +#> [ +#> [ +#> [1, 7], +#> [3, 9], +#> [5, 11] +#> ], +#> [ +#> [2, 8], +#> [4, 10], +#> [6, 12] +#> ] +#> ] jsonlite::fromJSON(str) #> , , 1 #> @@ -208,11 +200,40 @@ jsonlite::fromJSON(str) #> [,1] [,2] [,3] #> [1,] 7 9 11 #> [2,] 8 10 12 +``` - -str <- yyjsonr::to_json_str(mat) -str -#> [1] "[[[1,3,5],[2,4,6]],[[7,9,11],[8,10,12]]]" +``` r +# yyjsonr's serialization of matrices is internally consistent and re-parses +# to the initial matrix. +# But note that it is *different* to what jsonlite does. +str <- yyjsonr::to_json_str(mat, pretty = TRUE) +cat(str) +#> [ +#> [ +#> [ +#> 1, +#> 3, +#> 5 +#> ], +#> [ +#> 2, +#> 4, +#> 6 +#> ] +#> ], +#> [ +#> [ +#> 7, +#> 9, +#> 11 +#> ], +#> [ +#> 8, +#> 10, +#> 12 +#> ] +#> ] +#> ] yyjsonr::from_json_str(str) #> , , 1 #> diff --git a/man/benchmark/benchmarks.Rmd b/man/benchmark/benchmarks.Rmd index 2165950..e1bb340 100644 --- a/man/benchmark/benchmarks.Rmd +++ b/man/benchmark/benchmarks.Rmd @@ -301,7 +301,7 @@ res09 <- bench::mark( ``` ```{r echo=FALSE} -res09$benchmark <- 'Rcppsimdjson' +res09$benchmark <- 'Rcppsimdjson benchmark' knitr::kable(res09[, 1:5]) plot(res09) + theme_bw() + theme(legend.position = 'none') ``` @@ -328,7 +328,7 @@ res10 <- bench::mark( ``` ```{r echo=FALSE} -res10$benchmark <- 'jsonify (1)' +res10$benchmark <- 'jsonify benchmark (1)' knitr::kable(res10[,1:5]) plot(res10) + theme_bw() + theme(legend.position = 'none') ``` @@ -360,7 +360,7 @@ res11 <- bench::mark( ``` ```{r echo=FALSE} -res11$benchmark <- 'jsonify (2)' +res11$benchmark <- 'jsonify benchmark (2)' knitr::kable(res11[,1:5]) plot(res11) + theme_bw() + theme(legend.position = 'none') ``` @@ -383,7 +383,7 @@ res12 <- bench::mark( ``` ```{r echo=FALSE} -res12$benchmark <- 'jsonify (3)' +res12$benchmark <- 'jsonify benchmark (3)' knitr::kable(res12[,1:5]) plot(res12) + theme_bw() + theme(legend.position = 'none') ``` diff 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"special"), num_specials = c("special", "string"), + promote_num_to_string = FALSE, yyjson_read_flag = 0L ) } @@ -35,6 +36,14 @@ result will be left as a list.} be converted to the \code{'special'} R numeric values \code{NA, Inf, NaN}, or left as a \code{'string'}. Default: 'special'} +\item{promote_num_to_string}{Should numeric values be promoted to strings +when they occur within an array with other string values? Default: FALSE +means to keep numerics as numeric value and promote the \emph{container} to +be a \code{list} rather than an atomic vector when types are mixed. If \code{TRUE} +then array of mixed string/numeric types will be promoted to all +string values and returned as an atonic character vector. Set this to \code{TRUE} +if you want to emulate the behaviour of \code{jsonlite::fromJSON()}} + \item{yyjson_read_flag}{integer vector of internal \code{yyjson} options. See \code{read_flag} in this package, and read the yyjson API documentation for more information. This is considered diff --git a/src/R-yyjson-parse.c b/src/R-yyjson-parse.c index 98cb6d1..c6cf987 100644 --- a/src/R-yyjson-parse.c +++ b/src/R-yyjson-parse.c @@ -20,12 +20,13 @@ parse_options create_parse_options(SEXP parse_opts_) { parse_options opt = { - .int64 = INT64_AS_STR, - .missing_list_elem = MISSING_AS_NULL, - .vectors_to_df = true, - .str_specials = STR_SPECIALS_AS_STRING, - .num_specials = NUM_SPECIALS_AS_SPECIAL, - .yyjson_read_flag = 0 + .int64 = INT64_AS_STR, + .missing_list_elem = MISSING_AS_NULL, + .vectors_to_df = true, + .str_specials = STR_SPECIALS_AS_STRING, + .num_specials = NUM_SPECIALS_AS_SPECIAL, + .promote_num_to_string = false, + .yyjson_read_flag = 0 }; if (isNull(parse_opts_) || length(parse_opts_) == 0) { @@ -63,6 +64,8 @@ parse_options create_parse_options(SEXP parse_opts_) { } else if (strcmp(opt_name, "num_specials") == 0) { const char *val = CHAR(STRING_ELT(val_, 0)); opt.num_specials = strcmp(val, "string") == 0 ? NUM_SPECIALS_AS_STRING : NUM_SPECIALS_AS_SPECIAL; + } else if (strcmp(opt_name, "promote_num_to_string") == 0) { + opt.promote_num_to_string = asLogical(val_); } else { warning("Unknown option ignored: '%s'\n", opt_name); } @@ -407,7 +410,9 @@ unsigned int get_best_sexp_to_represent_type_bitset(unsigned int type_bitset, pa // String //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ if ((type_bitset & VAL_STR) | (type_bitset & VAL_STR_INT)) { - if (type_bitset & (VAL_NONE | VAL_RAW | VAL_BOOL | VAL_INT | VAL_REAL | VAL_ARR | VAL_OBJ | VAL_INT64)) { + if ( opt->promote_num_to_string && (type_bitset & (VAL_REAL | VAL_INT | VAL_BOOL)) && !(type_bitset & (VAL_NONE | VAL_RAW | VAL_ARR | VAL_OBJ))) { + return STRSXP; + } else if (type_bitset & (VAL_NONE | VAL_RAW | VAL_BOOL | VAL_INT | VAL_REAL | VAL_ARR | VAL_OBJ | VAL_INT64)) { return VECSXP; } else { return STRSXP; diff --git a/src/R-yyjson-parse.h b/src/R-yyjson-parse.h index 7704eae..ef99276 100644 --- a/src/R-yyjson-parse.h +++ b/src/R-yyjson-parse.h @@ -99,6 +99,7 @@ typedef struct { bool vectors_to_df; unsigned int str_specials; unsigned int num_specials; + bool promote_num_to_string; unsigned int yyjson_read_flag; } parse_options; diff --git a/src/geojson-serialize.c b/src/geojson-serialize.c index 1c65a85..1a42096 100644 --- a/src/geojson-serialize.c +++ b/src/geojson-serialize.c @@ -28,7 +28,7 @@ typedef struct { //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ geo_serialize_options create_geo_serialize_options(SEXP to_geo_opts_) { geo_serialize_options opt = { - .yyjson_write_flag = 0, + .yyjson_write_flag = YYJSON_WRITE_PRETTY, }; if (isNull(to_geo_opts_) || length(to_geo_opts_) == 0) { @@ -73,6 +73,8 @@ yyjson_mut_val *serialize_geom(SEXP sf_, yyjson_mut_doc *doc, geo_serialize_opti yyjson_mut_val *obj = yyjson_mut_obj(doc); + bool geom_collection = false; + if (inherits(sf_, "POINT")) { yyjson_mut_obj_add_str(doc, obj, "type", "Point"); } else if (inherits(sf_, "MULTIPOINT")) { @@ -86,14 +88,35 @@ yyjson_mut_val *serialize_geom(SEXP sf_, yyjson_mut_doc *doc, geo_serialize_opti } else if (inherits(sf_, "MULTIPOLYGON")) { yyjson_mut_obj_add_str(doc, obj, "type", "MultiPolygon"); } else if (inherits(sf_, "GEOMETRYCOLLECTION")) { - Rprintf("@@@@@@@ GeometryCollection\n"); + geom_collection = true; yyjson_mut_obj_add_str(doc, obj, "type", "GeometryCollection"); } else { error("@@@@@@@ serialize_geom Issue. Unhandled geometry type\n"); } - yyjson_mut_val *key = yyjson_mut_str(doc, "coordinates"); - yyjson_mut_obj_add(obj, key, serialize_core(sf_, doc, opt->serialize_opt)); + + if (!geom_collection) { + yyjson_mut_val *key = yyjson_mut_str(doc, "coordinates"); + yyjson_mut_obj_add(obj, key, serialize_core(sf_, doc, opt->serialize_opt)); + } else{ + + if (!isNewList(sf_)) { + error("Expecting geomcollection to be a VECSXP not: %s", type2char(TYPEOF(sf_))); + } + + // An array of geoms + yyjson_mut_val *geoms = yyjson_mut_arr(doc); + + // Unpack each element of the 'sf_' list as a geom and add to the array + for (unsigned int i = 0; i < length(sf_); i++) { + yyjson_mut_val *geom = serialize_geom(VECTOR_ELT(sf_, i), doc, opt); + yyjson_mut_arr_add_val(geoms, geom); + } + + yyjson_mut_val *key = yyjson_mut_str(doc, "geometries"); + yyjson_mut_obj_add(obj, key, geoms); + } + return obj; } diff --git a/src/geojson.c b/src/geojson.c index f6a51b4..7f2a6e0 100644 --- a/src/geojson.c +++ b/src/geojson.c @@ -733,6 +733,32 @@ SEXP prop_to_vecsxp(yyjson_val *features, char *prop_name, geo_parse_options *op } + +//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +// Parse a property as a INTSXP from a feature collection +//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +SEXP prop_to_lglsxp(yyjson_val *features, char *prop_name, geo_parse_options *opt) { + unsigned int N = yyjson_get_len(features); + SEXP vec_ = PROTECT(allocVector(LGLSXP, N)); + int *ptr = INTEGER(vec_); + + yyjson_arr_iter feature_iter = yyjson_arr_iter_with(features); + yyjson_val *feature_obj; + while ((feature_obj = yyjson_arr_iter_next(&feature_iter))) { + yyjson_val *props_obj = yyjson_obj_get(feature_obj, "properties"); + yyjson_val *prop_val = yyjson_obj_get(props_obj, prop_name); + if (prop_val == NULL) { + *ptr++ = NA_INTEGER; + } else { + *ptr++ = yyjson_get_bool(prop_val); + } + } + + UNPROTECT(1); + return vec_; +} + + //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ // Parse a property as a INTSXP from a feature collection //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ @@ -1007,6 +1033,9 @@ SEXP parse_feature_collection_geometry(yyjson_val *features, geo_parse_options * } else if (yyjson_equals_str(geom_type, "MultiPolygon")) { sf_type_bitset |= SF_MULTIPOLYGON; SET_STRING_ELT(geom_classes_, feature_idx, mkChar("MULTIPOLYGON")); + } else if (yyjson_equals_str(geom_type, "GeometryCollection")) { + sf_type_bitset |= SF_GEOMETRY_COLLECTION; + SET_STRING_ELT(geom_classes_, feature_idx, mkChar("GEOMETRYCOLLECTION")); } else { SET_STRING_ELT(geom_classes_, feature_idx, mkChar("UNKNOWN")); } @@ -1192,9 +1221,9 @@ SEXP parse_feature_collection(yyjson_val *obj, geo_parse_options *opt) { } switch (sexp_type) { - // case LGLSXP: - // SET_VECTOR_ELT(df_, idx, prop_to_lglsxp(features, prop_names[idx], opt)); - // break; + case LGLSXP: + SET_VECTOR_ELT(df_, idx, prop_to_lglsxp(features, prop_names[idx], opt)); + break; case INTSXP: SET_VECTOR_ELT(df_, idx, prop_to_intsxp(features, prop_names[idx], opt)); break; @@ -1377,7 +1406,8 @@ SEXP parse_geometry_collection(yyjson_val *obj, geo_parse_options *opt) { yyjson_val *geoms = yyjson_obj_get(obj, "geometries"); if (!yyjson_is_arr(geoms)) { - error("Expecting GeomCollection::geometries to be an array"); + error("Expecting GeomCollection::geometries to be an array. not %s", + yyjson_get_type_desc(geoms)); } unsigned int ngeoms = yyjson_get_len(geoms); diff --git a/tests/testthat/test-geojson-deep-remix.R b/tests/testthat/test-geojson-deep-remix.R new file mode 100644 index 0000000..2f3ca0b --- /dev/null +++ b/tests/testthat/test-geojson-deep-remix.R @@ -0,0 +1,261 @@ + +modify_list <- function(old, new) { + + # print(names(old)) + # print(names(new)) + + if (is.null(names(new))) { + return(old) + } + for (nm in names(new)) old[[nm]] <- new[[nm]] + old +} + +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +#' +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +rearrange_list <- function(x) { + if (is.null(x)) { + return(NULL) + } + + att <- attributes(x) + + # re-arrange members of list + x <- lapply(x, rearrange) + + if (!is.null(att)) { + # cat("L\n") + attributes(x) <- modify_list(att, attributes(x)) + } + + x +} + + +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +#' +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +rearrange_df <- function(x) { + # cat("D") + expect_true(inherits(x, 'data.frame')) + + att <- attributes(x) + att$names <- NULL + + x <- x[,sort(colnames(x))] + + x <- lapply(x, rearrange) + + attributes(x) <- modify_list(att, attributes(x)) + + x +} + + +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +# Rearrange an object such that all its name, and attributes are +# in alphabetical order +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +rearrange <- function(x) { + + if (is.null(x)) { + # do nothin + } else if (is.data.frame(x)) { + x <- rearrange_df(x) + } else if (is.list(x)) { + x <- rearrange_list(x) + } else { + att <- attributes(x) + if (!is.null(att)) { + # att <- rearrange(att) + # cat(".\n") + attributes(x) <- modify_list(att, attributes(x)) + } + } + + x +} + +# rearrange(mtcars) + + +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +#' Set load path depending on whether debugging or testing within package +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +if (testthat::is_testing()) { + examples_dir <- "./geojson" +} else { + # manually running during development + examples_dir <- "tests/testthat/geojson" +} + +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +#' Determine list of JSON files to test +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +json_files <- list.files(examples_dir, pattern = "json$", full.names = TRUE) + +json <- lapply(json_files, function(x) { + paste(readLines(x), collapse = "\n") +}) +names(json) <- basename(tools::file_path_sans_ext(json_files)) + +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +#' Generate reference objects using geojson +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +if (FALSE) { + # json_files <- list.files(examples_dir, pattern = "json$", full.names = TRUE) + # + # ref <- list(sf = list(), sfc = list()) + # + # prep <- function(json_file) { + # nm <- basename(json_file) + # ref$sf [[nm]] <<- geojsonsf::geojson_sf (json_file) + # ref$sfc[[nm]] <<- geojsonsf::geojson_sfc(json_file) + # } + # + # for (json_file in json_files) { + # prep(json_file) + # } + # + # saveRDS(ref, "tests/testthat/geojson/ref.rds", compress = 'xz') +} + +ref <- readRDS(file.path(examples_dir, "ref.rds")) + + +expect_equal_when_attributes_sorted <- function(tst, ref, label = NULL) { + tst <- rearrange(tst) + ref <- rearrange(ref) + expect_equal(tst, ref, label = label) +} + + +expect_identical_when_attributes_sorted <- function(tst, ref, label = NULL) { + tst <- rearrange(tst) + ref <- rearrange(ref) + expect_identical(tst, ref, label = label) +} + + +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +#' +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +test_that("ensure helper 'expect_equal_when_attributes_sorted()' works", { + mtcars2 <- mtcars[, sample(colnames(mtcars))] + expect_equal_when_attributes_sorted(mtcars2, mtcars) + + + attributes(mtcars2$cyl) <- list(a = 1) + + expect_error({ + expect_equal_when_attributes_sorted(mtcars2, mtcars) + }, "absent") + + mtcars3 <- mtcars + attributes(mtcars3$cyl) <- list(a = 1) + expect_equal_when_attributes_sorted(mtcars3, mtcars2) + + expect_error({ + expect_identical_when_attributes_sorted(mtcars2, mtcars) + }, "absent") + + mtcars3 <- mtcars + attributes(mtcars3$cyl) <- list(a = 1) + expect_identical_when_attributes_sorted(mtcars3, mtcars2) + + + df <- data.frame(a = 1:2) + df$b <- list(x = 1, y = 2) + attributes(df$b[[1]]) <- list(x = 10) + + df1 <- df + expect_equal_when_attributes_sorted(df1, df) + + + attributes(df1$b[[1]]) <- list(x = 10, y = 11) + expect_error( + expect_equal_when_attributes_sorted(df1, df), + "expected\\$b\\$x.*?absent" + ) + +}) + + +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +#' +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +test_that("Compare input to geojsonsf", { + + json_file <- "tests/testthat/geojson/standard-example.json" + + for (json_file in json_files) { + + nm <- basename(json_file) + # cat(nm, "\n") + + sf <- from_geojson_file(json_file, type = 'sf') + if (nm == 'standard-example.json') { + # When geojsonsf promotos double 0.0 to string, it makes it '0' + # whereas yyjsonr makes it "0.000000" + sf$prop1 <- gsub("0.000000", "0", sf$prop1) + } + # expect_equal(sf, ref$sf[[nm]], label = nm) + expect_equal_when_attributes_sorted(sf, ref$sf[[nm]], label = nm) + # expect_identical_when_attributes_sorted(sf, ref$sf[[nm]], label = nm) + + + sfc <- from_geojson_file(json_file, type = 'sfc') + expect_equal_when_attributes_sorted(sfc, ref$sfc[[nm]], label = nm) + # expect_identical_when_attributes_sorted(sfc, ref$sfc[[nm]], label = nm) + } + +}) + + +# if (FALSE) { +# js <- json$`coord-class-multipolygon-xyzm` +# cat(js) +# +# tst <- from_geojson_str(js, type = 'sfc') +# ref <- geojsonsf::geojson_sfc(js) +# expect_same_contents(tst, ref) +# +# tst <- from_geojson_str(js) +# ref <- geojsonsf::geojson_sf(js) +# expect_same_contents(tst, ref) +# } + + +# if (FALSE) { +# bench::mark( +# geojsonsf::geojson_sf(geojsonsf::geo_melbourne), +# from_geojson_str (geojsonsf::geo_melbourne), +# check = FALSE +# ) +# } +# +# +# if (FALSE) { +# library(sf) +# library(microbenchmark) +# +# nc = st_read(system.file("shape/nc.shp", package="sf")) +# +# dst_gjsf = tempfile(fileext = ".geojson") +# dst_gjyy = tempfile(fileext = ".geojson") +# +# bench::mark( +# sfgj = cat(geojsonsf::sf_geojson(nc), file = dst_gjsf), +# yygj = yyjsonr::to_json_file(nc, filename = dst_gjyy) +# ) +# } + + + + + + + + + diff --git a/tests/testthat/test-geojson-promotion-compat.R b/tests/testthat/test-geojson-promotion-compat.R new file mode 100644 index 0000000..811da67 --- /dev/null +++ b/tests/testthat/test-geojson-promotion-compat.R @@ -0,0 +1,50 @@ + + +js <- r"( +{ + "type": "FeatureCollection", + "features": [ + { + "type": "Feature", + "geometry": { + "type": "Point", + "coordinates": [ + -80.870885, + 35.215151 + ] + }, + "properties": { + "value": 1.0 + } + }, + { + "type": "Feature", + "geometry": { + "type": "Point", + "coordinates": [ + -80.837753, + 35.249801 + ] + }, + "properties": { + "value": "a" + } + } + ] +} +)" + + + +test_that("multiplication works", { + + tst <- from_geojson_str(js) # geojson compat + expect_identical(tst$value, c("1.000000", "a")) + + tst <- from_geojson_str(js, property_promotion = 'string') # geojson compat + expect_identical(tst$value, c("1.000000", "a")) + + tst <- from_geojson_str(js, property_promotion = 'list') + expect_identical(tst$value, list(1.0, "a")) + +}) diff --git a/tests/testthat/test-geojson-write.R b/tests/testthat/test-geojson-write.R index d5fe34f..78008ae 100644 --- a/tests/testthat/test-geojson-write.R +++ b/tests/testthat/test-geojson-write.R @@ -1,111 +1,63 @@ +if (testthat::is_testing()) { + examples_dir <- "./geojson" +} else { + # manually running during development + examples_dir <- "tests/testthat/geojson" +} + + #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -#' dput(head(sf::st_read(system.file("shape/nc.shp", package="sf")), 2)) +#' Determine list of JSON files to test #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -nc2 <- structure( - list( - AREA = c(0.114, 0.061), - PERIMETER = c(1.442, 1.231 - ), - CNTY_ = c(1825, 1827), - CNTY_ID = c(1825, 1827), - NAME = c("Ashe", "Alleghany"), - FIPS = c("37009", "37005"), - FIPSNO = c(37009, 37005), - CRESS_ID = c(5L, 3L), - BIR74 = c(1091, 487), - SID74 = c(1, 0), - NWBIR74 = c(10, 10), - BIR79 = c(1364, 542), - SID79 = c(0, 3), - NWBIR79 = c(19, 12), - geometry = structure(list(structure(list( - list(structure(c( - -81.4727554321289, -81.5408401489258, - -81.5619812011719, -81.6330642700195, -81.7410736083984, - -81.6982803344727, -81.7027969360352, -81.6699981689453, - -81.3452987670898, -81.347541809082, -81.3247756958008, - -81.3133239746094, -81.2662353515625, -81.2628402709961, - -81.2406921386719, -81.2398910522461, -81.2642440795898, - -81.3289947509766, -81.3613739013672, -81.3656921386719, - -81.354133605957, -81.3674545288086, -81.4063873291016, - -81.4123306274414, -81.431037902832, -81.4528884887695, - -81.4727554321289, 36.2343559265137, 36.2725067138672, - 36.2735939025879, 36.3406867980957, 36.3917846679688, - 36.4717788696289, 36.5193405151367, 36.5896492004395, - 36.5728645324707, 36.537914276123, 36.5136795043945, - 36.4806976318359, 36.4372062683105, 36.4050407409668, - 36.3794174194336, 36.365364074707, 36.3524131774902, - 36.3635025024414, 36.3531608581543, 36.3390502929688, - 36.2997169494629, 36.2786979675293, 36.2850532531738, - 36.2672920227051, 36.2607192993164, 36.2395858764648, - 36.2343559265137), dim = c(27L, 2L)))), - class = c("XY", "MULTIPOLYGON", "sfg")), - structure(list(list(structure( - c(-81.2398910522461, - -81.2406921386719, -81.2628402709961, -81.2662353515625, - -81.3133239746094, -81.3247756958008, -81.347541809082, -81.3452987670898, - -80.9034423828125, -80.9335479736328, -80.9657745361328, - -80.9496688842773, -80.9563903808594, -80.9779510498047, - -80.9828414916992, -81.0027770996094, -81.0246429443359, - -81.0428009033203, -81.0842514038086, -81.0985641479492, - -81.1133117675781, -81.1293792724609, -81.1383972167969, - -81.1533660888672, -81.1766738891602, -81.2398910522461, - 36.365364074707, 36.3794174194336, 36.4050407409668, 36.4372062683105, - 36.4806976318359, 36.5136795043945, 36.537914276123, 36.5728645324707, - 36.5652122497559, 36.4983139038086, 36.4672203063965, 36.4147338867188, - 36.4037971496582, 36.3913764953613, 36.3718338012695, 36.3666801452637, - 36.3778343200684, 36.4103355407715, 36.4299201965332, 36.43115234375, - 36.4228515625, 36.4263305664062, 36.4176254272461, 36.4247398376465, - 36.4154434204102, 36.365364074707), dim = c(26L, 2L)))), - class = c("XY", "MULTIPOLYGON", "sfg"))), - class = c("sfc_MULTIPOLYGON", "sfc"), - precision = 0, - bbox = structure(c( - xmin = -81.7410736083984, - ymin = 36.2343559265137, - xmax = -80.9034423828125, - ymax = 36.5896492004395 - ), - class = "bbox" - ), - crs = structure(list( - input = "NAD27", - wkt = "GEOGCRS[\"NAD27\",\n DATUM[\"North American Datum 1927\",\n ELLIPSOID[\"Clarke 1866\",6378206.4,294.978698213898,\n LENGTHUNIT[\"metre\",1]]],\n PRIMEM[\"Greenwich\",0,\n ANGLEUNIT[\"degree\",0.0174532925199433]],\n CS[ellipsoidal,2],\n AXIS[\"latitude\",north,\n ORDER[1],\n ANGLEUNIT[\"degree\",0.0174532925199433]],\n AXIS[\"longitude\",east,\n ORDER[2],\n ANGLEUNIT[\"degree\",0.0174532925199433]],\n ID[\"EPSG\",4267]]"), class = "crs"), n_empty = 0L)), - sf_column = "geometry", - agr = structure(c( - AREA = NA_integer_, - PERIMETER = NA_integer_, CNTY_ = NA_integer_, CNTY_ID = NA_integer_, - NAME = NA_integer_, FIPS = NA_integer_, FIPSNO = NA_integer_, - CRESS_ID = NA_integer_, BIR74 = NA_integer_, SID74 = NA_integer_, - NWBIR74 = NA_integer_, BIR79 = NA_integer_, SID79 = NA_integer_, - NWBIR79 = NA_integer_), levels = c("constant", "aggregate", "identity" - ), class = "factor"), row.names = 1:2, class = c("sf", "data.frame" - )) - - - -test_that("Basic sf-to-geojson works", { - - geojson_str <- to_geojson_str(nc2) - nc2_test <- from_geojson_str(geojson_str) - - expect_equal( - nc2_test, - nc2, - ignore_attr = TRUE - ) - - tmp <- tempfile() - to_geojson_file(nc2, tmp) - nc2_test2 <- from_geojson_file(tmp) - expect_equal( - nc2_test2, - nc2, - ignore_attr = TRUE - ) +json_files <- list.files(examples_dir, pattern = "json$", full.names = TRUE) + +json <- lapply(json_files, function(x) { + paste(readLines(x), collapse = "\n") +}) +names(json) <- basename(tools::file_path_sans_ext(json_files)) + + +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +#' Re-introduce these tests after basics are working +#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +# json$`geometry-collection` <- NULL +# json$`standard-example` <- NULL +# json[grepl("proper", names(json))] <- NULL + +# json <- json['geometry-collection'] +# i <- 1 + +test_that("Basic writing works for lots of different geojson", { + #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + #' Using 'yyjsonr', round-trip some JSON + #' - from geojson string to R 'sf' object + #' - from R 'sf' object to geojson string + #' - from geojson string to R 'sf' object + #' + #' Then assert that the two 'sf' objects are equal + #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + for (i in seq_along(json)) { + # cat(names(json)[i], "\n") + # flush.console() + + # Take the JSON + js1 <- json[[i]] + + # Load it into R as 'sf' + geojson1 <- from_geojson_str(js1) + + # Write it out to JSON str + js2 <- to_geojson_str(geojson1) + + # Re-load it into R as 'sf' + geojson2 <- from_geojson_str(js2) + + # Test 'sf' representations are equal + expect_identical(geojson1, geojson2, label = names(json)[i]) + } }) @@ -161,40 +113,78 @@ test_that("Basic writing works for lots of different geojson", { -# if (FALSE) { -# library(sf) -# library(geojsonsf) -# -# nc <- st_read(system.file("shape/nc.shp", package="sf")) -# nc2 <- head(nc, 2) -# ref <- sf_geojson(nc2) -# ref <- sfc_geojson(nc2$geometry) -# -# yy <- to_geojson_str(nc$geometry) -# zz <- sfc_geojson(nc$geometry) -# -# -# yy <- to_geojson_str(nc2) -# zz <- sf_geojson(nc2) -# cdiff(yy, zz) -# -# -# bench::mark( -# to_json_str(nc$geometry), -# to_geojson_str(nc$geometry), -# sfc_geojson(nc$geometry), -# check = FALSE -# ) -# -# -# bench::mark( -# to_json_str(nc), -# to_geojson_str(nc), -# sf_geojson(nc), -# check = FALSE -# ) -# -# } - +js1 <- r"( +{ + "type": "GeometryCollection", + "geometries": [ + { + "type": "Point", + "coordinates": [ + -80.660805, + 35.049392 + ] + }, + { + "type": "Polygon", + "coordinates": [ + [ + [ + -80.664582, + 35.044965 + ], + [ + -80.663874, + 35.04428 + ], + [ + -80.662586, + 35.04558 + ], + [ + -80.663444, + 35.046036 + ], + [ + -80.664582, + 35.044965 + ] + ] + ] + }, + { + "type": "LineString", + "coordinates": [ + [ + -80.662372, + 35.059509 + ], + [ + -80.662693, + 35.059263 + ], + [ + -80.662844, + 35.05893 + ] + ] + } + ] +} +)" + +test_that("geom collection isolated test", { + # Load it into R as 'sf' + geojson1 <- from_geojson_str(js1) + + # Write it out to JSON str + js2 <- to_geojson_str(geojson1) + # cat(js2) + + # Re-load it into R as 'sf' + geojson2 <- from_geojson_str(js2) + + # Test 'sf' representations are equal + expect_equal(geojson1, geojson2) +}) diff --git a/tests/testthat/test-json_promotion.R b/tests/testthat/test-json_promotion.R new file mode 100644 index 0000000..701812b --- /dev/null +++ b/tests/testthat/test-json_promotion.R @@ -0,0 +1,21 @@ + + +js <- r"( +[ + {"a":1.234560}, + {"a":2}, + {"a":"apple"} +])" + + +test_that("numeric promotion to string instead of list works", { + + res <- from_json_str(js) + expect_identical(res$a, list(1.234560, 2L, "apple")) + + res <- from_json_str(js, promote_num_to_string = FALSE) + expect_identical(res$a, list(1.234560, 2L, "apple")) + + res <- from_json_str(js, promote_num_to_string = TRUE) + expect_identical(res$a, c("1.234560", "2", "apple")) +}) diff --git a/vignettes/from_json_options.Rmd b/vignettes/from_json_options.Rmd index 86378c7..ccb14f1 100644 --- a/vignettes/from_json_options.Rmd +++ b/vignettes/from_json_options.Rmd @@ -21,6 +21,37 @@ suppressPackageStartupMessages({ }) ``` + +Mixture of numeric and string types +----------------------------------------------------------------------------- + +```{r} +# a JSON array of mixed string and numeric types +json <- '[1,2,3,"apple"]' +``` + + +```{r} +# jsonlite returns an atomic character vector (by default) +jsonlite::fromJSON(json) +``` + + +```{r} +# yyjsonr can behave the same as jsonlite's default +yyjsonr::from_json_str(json, promote_num_to_string = TRUE) +``` + + +```{r} +# Keep all types as-is and return as a list +yyjsonr::from_json_str(json, promote_num_to_string = FALSE) +``` + + + + + Large integers -----------------------------------------------------------------------------