data <- iris[c(1:3, 51:53, 101:104), ] col_keys <- c("Species", "sep_1", "Sepal.Length", "Sepal.Width", "sep_2", "Petal.Length", "Petal.Width") img.file <- file.path(R.home("doc"), "html", "logo.jpg") rlogo <- tempfile(fileext = ".jpg") file.copy(img.file, rlogo) test_that("images", { ft <- flextable(data, col_keys = col_keys) ft <- compose(ft, j = "Sepal.Length", value = as_paragraph( as_chunk("blah blah "), as_image(rlogo, width = .3, height = 0.23), " ", as_chunk(sprintf("val: %.1f", Sepal.Length), props = fp_text(color = "orange", vertical.align = "superscript")) ) ) ft <- compose(ft, j = "sep_1", value = as_paragraph( as_image(rlogo, width = .3, height = 0.23) ) ) ft <- compose(ft, j = "Petal.Length", value = as_paragraph( "blah blah ", as_chunk(Sepal.Length, props = fp_text(color = "orange", vertical.align = "superscript")) ) ) ft <- style(ft, pr_c = fp_cell(margin = 0, border = fp_border(width = 0)), pr_p = fp_par(padding = 0, border = fp_border(width = 0)), pr_t = fp_text(font.size = 10), part = "all" ) ft <- autofit(ft, add_w = 0, add_h = 0) dims <- ft$body$colwidths expect_equal(as.vector(dims["sep_1"]), .3, tolerance = .00001) docx_file <- tempfile(fileext = ".docx") doc <- read_docx() doc <- body_add_flextable(doc, value = ft) expect_error( { print(doc, target = docx_file) }, NA ) }) plot1 <- tempfile(fileext = ".png") plot2 <- tempfile(fileext = ".png") ragg::agg_png(filename = plot1, width = 300, height = 300, units = "px") plot(1:15, 1:15) dev.off() ragg::agg_png(filename = plot2, width = 300, height = 300, units = "px") plot(1:150, 1:150) dev.off() df <- data.frame( plot = c(plot1, plot2) ) test_that("multiple images", { ft <- flextable(df) ft <- mk_par(ft, j = "plot", value = as_paragraph(as_image(rlogo, width = .3, height = 0.23)), part = "header") ft <- mk_par(ft, j = "plot", value = as_paragraph(as_image(plot, guess_size = TRUE))) chunk_info <- flextable::information_data_chunk(ft) expect_equal(chunk_info$img_data, c(rlogo, df$plot)) expect_equal(chunk_info$width, c(.3, 300 / 72, 300 / 72)) expect_equal(chunk_info$height, c(.23, 300 / 72, 300 / 72)) docx_path <- save_as_docx(ft, path = tempfile(fileext = ".docx")) doc <- read_docx(docx_path) images_path <- doc$doc_obj$relationship()$get_images_path() expect_equal( gsub("([a-z0-9]+)(\\.png|\\.jpg)$", "\\2", basename(images_path)), c(".jpg", ".png", ".png") ) html_path <- save_as_html(ft, path = tempfile(fileext = ".html")) doc <- read_html(html_path) all_imgs <- xml_find_all(doc, "//img") src_imgs <- xml_attr(all_imgs, "src") expect_length(src_imgs, 3) if (length(src_imgs) == 3) { expect_match( src_imgs[1], "data:image/jpeg", fixed = TRUE ) expect_match( src_imgs[2], "data:image/png", fixed = TRUE ) expect_match( src_imgs[3], "data:image/png", fixed = TRUE ) } zz <- gen_grob(ft) expect_s3_class(zz$children$cell_1_1$children$contents$ftgrobs[[1]], "rastergrob") expect_s3_class(zz$children$cell_2_1$children$contents$ftgrobs[[1]], "rastergrob") expect_s3_class(zz$children$cell_3_1$children$contents$ftgrobs[[1]], "rastergrob") ft <- flextable(df) ft <- colformat_image(ft, j = "plot", width = 300 / 72, height = 300 / 72) zz <- gen_grob(ft) expect_s3_class(zz$children$cell_1_1$children$contents$ftgrobs[[1]], "text") expect_s3_class(zz$children$cell_2_1$children$contents$ftgrobs[[1]], "rastergrob") expect_s3_class(zz$children$cell_3_1$children$contents$ftgrobs[[1]], "rastergrob") }) test_that("minibar", { ft <- flextable(data.frame(n = 1:2)) ft <- mk_par( ft, j = 1, value = as_paragraph( minibar(value = n, max = 10, width = .5, barcol = "red", bg = "yellow") ), part = "body" ) minibar1 <- flextable::information_data_chunk(ft)$img_data[[2]] expect_s3_class(minibar1, "raster") expect_equal(nrow(minibar1), 1) expect_equal(ncol(minibar1), 36) expect_equal(minibar1[1:3], rep("#FF0000", 3)) expect_equal(minibar1[4:36], rep("#FFFF00", 33)) minibar2 <- flextable::information_data_chunk(ft)$img_data[[3]] expect_s3_class(minibar2, "raster") expect_equal(nrow(minibar2), 1) expect_equal(ncol(minibar2), 36) expect_equal(minibar2[1:7], rep("#FF0000", 7)) expect_equal(minibar2[8:36], rep("#FFFF00", 29)) })