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get_multiagent_report.R
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get_multiagent_report.R
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#------------------------------------------------------------------------------#
#
# _ _ _ _ _
# (_) | | | | | | | |
# _ __ ___ _ _ __ | |_ | |__ | | __ _ _ __ | | __
# | '_ \ / _ \ | || '_ \ | __|| '_ \ | | / _` || '_ \ | |/ /
# | |_) || (_) || || | | || |_ | |_) || || (_| || | | || <
# | .__/ \___/ |_||_| |_| \__||_.__/ |_| \__,_||_| |_||_|\_\
# | |
# |_|
#
# This file is part of the 'rstudio/pointblank' project.
#
# Copyright (c) 2017-2024 pointblank authors
#
# For full copyright and license information, please look at
# https://rstudio.github.io/pointblank/LICENSE.html
#
#------------------------------------------------------------------------------#
#' Get a summary report using multiple agents
#'
#' @description
#'
#' We can get an informative summary table from a collective of agents by using
#' the `get_multiagent_report()` function. Information from multiple agent can
#' be provided in three very forms: (1) the *Long Display* (stacked reports),
#' (2) the *Wide Display* (a comparison report), (3) as a tibble with packed
#' columns.
#'
#' @param multiagent A multiagent object of class `ptblank_multiagent`.
#'
#' @param display_table Should a display table be generated? If `TRUE` (the
#' default) a display table for the report will be shown in the Viewer. If
#' `FALSE` then a tibble will be returned.
#'
#' @param display_mode If we are getting a display table, should the agent data
#' be presented in a `"long"` or `"wide"` form? The default is `"long"` but
#' when comparing multiple runs where the target table is the same it might be
#' preferable to choose `"wide"`.
#'
#' @param title Options for customizing the title of the report when
#' `display_table = TRUE`. The default is the keyword `":default:"` which
#' produces generic title text. If no title is wanted, then the `":none:"`
#' keyword option can be used. Another keyword option is `":tbl_name:"`, and
#' that presents the name of the table as the title for the report (this can
#' only be used when `display_mode = "long"`). Aside from keyword options,
#' text can be provided for the title and `glue::glue()` calls can be used to
#' construct the text string. If providing text, it will be interpreted as
#' Markdown text and transformed internally to HTML. To circumvent such a
#' transformation, use text in [I()] to explicitly state that the supplied
#' text should not be transformed.
#'
#' @param lang *Reporting language*
#'
#' `scalar<character>` // *default:* `NULL` (`optional`)
#'
#' The language to use for the long or wide report forms. By default, `NULL`
#' will preserve any language set in the component reports. The following
#' options will force the same language across all component reports: English
#' (`"en"`), French (`"fr"`), German (`"de"`), Italian (`"it"`), Spanish
#' (`"es"`), Portuguese (`"pt"`), Turkish (`"tr"`), Chinese (`"zh"`), Russian
#' (`"ru"`), Polish (`"pl"`), Danish (`"da"`), Swedish (`"sv"`), and Dutch
#' (`"nl"`).
#'
#' @param locale *Locale for value formatting*
#'
#' `scalar<character>` // *default:* `NULL` (`optional`)
#'
#' An optional locale ID to use for formatting values in the long or wide
#' report forms (according the locale's rules). Examples include `"en_US"` for
#' English (United States) and `"fr_FR"` for French (France); more simply,
#' this can be a language identifier without a country designation, like
#' `"es"` for Spanish (Spain, same as `"es_ES"`). This `locale` option will
#' override any previously set locale values.
#'
#' @return A **gt** table object if `display_table = TRUE` or a tibble if
#' `display_table = FALSE`.
#'
#' @section The Long Display:
#'
#' When displayed as `"long"` the multiagent report will stack individual agent
#' reports in a single document in the order of the agents in the multiagent
#' object.
#'
#' Each validation plan (possibly with interrogation info) will be provided and
#' the output for each is equivalent to calling [get_agent_report()] on each
#' of the agents within the multiagent object.
#'
#' @section The Wide Display:
#'
#' When displayed as `"wide"` the multiagent report will show data from
#' individual agents as columns, with rows standing as validation steps common
#' across the agents.
#'
#' Each validation step is represented with an icon (standing in for the name of
#' the validation function) and the associated SHA1 hash. This is a highly
#' trustworthy way for ascertaining which validation steps are effectively
#' identical across interrogations. This way of organizing the report is
#' beneficial because different agents may have used different steps and we want
#' to track the validation results where the validation step doesn't change but
#' the target table does (i.e., new rows are added, existing rows are updated,
#' etc.).
#'
#' The single table from this display mode will have the following columns:
#'
#' - STEP: the SHA1 hash for the validation step, possibly shared among
#' several interrogations.
#' - *subsequent columns*: each column beyond `STEP` represents a separate
#' interrogation from an *agent* object. The time stamp for the completion of
#' each interrogation is shown as the column label.
#'
#' @section Examples:
#'
#' Let's walk through several theoretical data quality analyses of an extremely
#' small table. that table is called `small_table` and we can find it as a
#' dataset in this package.
#'
#' ```{r}
#' small_table
#' ```
#'
#' To set failure limits and signal conditions, we designate proportional
#' failure thresholds to the `warn`, `stop`, and `notify` states using
#' `action_levels()`.
#'
#' ```r
#' al <-
#' action_levels(
#' warn_at = 0.05,
#' stop_at = 0.10,
#' notify_at = 0.20
#' )
#' ```
#'
#' We will create four different agents and have slightly different validation
#' steps in each of them. In the first, `agent_1`, eight different validation
#' steps are created and the agent will interrogate the `small_table`.
#'
#' ```r
#' agent_1 <-
#' create_agent(
#' tbl = small_table,
#' label = "An example.",
#' actions = al
#' ) %>%
#' col_vals_gt(
#' columns = date_time,
#' value = vars(date),
#' na_pass = TRUE
#' ) %>%
#' col_vals_gt(
#' columns = b,
#' value = vars(g),
#' na_pass = TRUE
#' ) %>%
#' rows_distinct() %>%
#' col_vals_equal(
#' columns = d,
#' value = vars(d),
#' na_pass = TRUE
#' ) %>%
#' col_vals_between(
#' columns = c,
#' left = vars(a), right = vars(d)
#' ) %>%
#' col_vals_not_between(
#' columns = c,
#' left = 10, right = 20,
#' na_pass = TRUE
#' ) %>%
#' rows_distinct(columns = d, e, f) %>%
#' col_is_integer(columns = a) %>%
#' interrogate()
#' ```
#'
#' The second agent, `agent_2`, retains all of the steps of `agent_1` and adds
#' two more (the last of which is inactive).
#'
#' ```r
#' agent_2 <-
#' agent_1 %>%
#' col_exists(columns = date, date_time) %>%
#' col_vals_regex(
#' columns = b,
#' regex = "[0-9]-[a-z]{3}-[0-9]{3}",
#' active = FALSE
#' ) %>%
#' interrogate()
#' ```
#'
#' The third agent, `agent_3`, adds a single validation step, removes the fifth
#' one, and deactivates the first.
#'
#' ```r
#' agent_3 <-
#' agent_2 %>%
#' col_vals_in_set(
#' columns = f,
#' set = c("low", "mid", "high")
#' ) %>%
#' remove_steps(i = 5) %>%
#' deactivate_steps(i = 1) %>%
#' interrogate()
#' ```
#'
#' The fourth and final agent, `agent_4`, reactivates steps 1 and 10, and
#' removes the sixth step.
#'
#' ```r
#' agent_4 <-
#' agent_3 %>%
#' activate_steps(i = 1) %>%
#' activate_steps(i = 10) %>%
#' remove_steps(i = 6) %>%
#' interrogate()
#' ```
#'
#' While all the agents are slightly different from each other, we can still get
#' a combined report of them by creating a 'multiagent'.
#'
#' ```r
#' multiagent <-
#' create_multiagent(
#' agent_1, agent_2, agent_3, agent_4
#' )
#' ```
#'
#' Calling `multiagent` in the console prints the multiagent report. But we can
#' generate a `"ptblank_multiagent_report"` object with the
#' `get_multiagent_report()` function and specify options for layout and
#' presentation.
#'
#' By default, `get_multiagent_report()` gives you a long report with agent
#' reports being stacked. Think of this `"long"` option as the serial mode of
#' agent reports. However if we want to view interrogation results of the same
#' table over time, the wide view may be preferable. In this way we can see
#' whether the results of common validation steps improved or worsened over
#' consecutive interrogations of the data.
#'
#' ```r
#' report_wide <-
#' get_multiagent_report(
#' multiagent,
#' display_mode = "wide"
#' )
#'
#' report_wide
#' ```
#'
#' \if{html}{
#' \out{
#' `r pb_get_image_tag(file = "man_get_multiagent_report_1.png")`
#' }
#' }
#'
#' @family The multiagent
#' @section Function ID:
#' 10-3
#'
#' @export
get_multiagent_report <- function(
multiagent,
display_table = TRUE,
display_mode = c("long", "wide"),
title = ":default:",
lang = NULL,
locale = NULL
) {
if (is.null(lang)) {
lang <- "en"
}
for (i in seq_along(multiagent[["agents"]])) {
time_end <- gsub(" ", "T", multiagent[["agents"]][[i]][["time_end"]])
i_name <- paste0(formatC(i, width = 3, flag = 0), "_", time_end)
i_name <- rlang::quo_name(i_name)
val_set_packed <-
multiagent[["agents"]][[i]][["validation_set"]] %>%
dplyr::select(
sha1, i, step_id, assertion_type, column, values,
na_pass, preconditions, actions, label, brief,
eval_active, eval_error, eval_warning, all_passed,
n, f_passed, f_failed, warn, notify, stop
) %>%
tidyr::pack(validation = c(
i, step_id, assertion_type, column, values,
na_pass, preconditions, actions, label, brief,
eval_active, eval_error, eval_warning, all_passed,
n, f_passed, f_failed, warn, notify, stop
)) %>%
dplyr::rename(!!i_name := "validation")
if (i == 1) {
report_tbl <- val_set_packed
next
}
report_tbl <-
report_tbl %>%
dplyr::full_join(val_set_packed, by = "sha1")
}
report_tbl <-
report_tbl %>%
dplyr::select(-sha1)
if (!display_table) {
return(report_tbl)
}
# nocov start
display_mode <- match.arg(display_mode)
if (display_mode == "long") {
long_report <- rep(NA_character_, length(multiagent[["agents"]]))
if (title == ":default:") {
title <-
get_default_title_text(
report_type = "multiagent:long",
lang = lang
)
}
for (i in seq_along(multiagent[["agents"]])) {
long_report_i <-
get_agent_report(
agent = multiagent[["agents"]][[i]],
title = if ((i != 1 || title == ":none:") && title != ":tbl_name:") {
""
} else {
title
},
lang = lang,
locale = locale
)
long_report_i <-
long_report_i %>%
gt::tab_options(
table.border.top.width = "0",
table.border.bottom.style = "double",
table.border.bottom.width = "6px",
table.border.bottom.color = "#D3D3D3"
)
long_report[i] <- gt::as_raw_html(long_report_i, inline_css = FALSE)
}
long_report <-
htmltools::tagList(
htmltools::HTML(paste(long_report, collapse = "<br>"))
)
class(long_report) <-
c("ptblank_multiagent_report.long", class(long_report))
return(long_report)
}
# Generate table type HTML
table_type <-
create_table_type_html(
tbl_src = multiagent[["agents"]][[i]][["tbl_src"]],
tbl_name = multiagent[["agents"]][[i]][["tbl_name"]]
)
# Combine label, table type, and action levels into
# a table subtitle <div>
combined_subtitle <-
htmltools::tagList(
htmltools::tags$div(
style = htmltools::css(
height = "25px"
),
htmltools::HTML(table_type)
)
) %>% as.character()
create_report_time_html <- function(time) {
time <- Sys.time()
paste0(
"<span style=\"background-color: #FFF;",
"color: #444;padding: 0.5em 0.5em;",
"position: inherit;text-transform: uppercase;margin-left: 10px;",
"border: solid 1px #999999;font-variant-numeric: tabular-nums;",
"border-radius: 0;padding: 2px 10px 2px 10px;font-size: smaller;\">",
format(time, "%Y-%m-%d %H:%M:%S %Z"),
"</span>"
)
}
# Create vector that gathers date-time values for
# each interrogation
date_time <- list()
agent_count <- length(multiagent[["agents"]])
if (agent_count <= 4) {
layout_type <- "4UP"
} else if (agent_count <= 8) {
layout_type <- "8UP"
} else {
layout_type <- "16UP"
}
for (i in seq_along(multiagent[["agents"]])) {
time_end <- gsub(" ", "\n", multiagent[["agents"]][[i]][["time_end"]])
i_name <- formatC(i, width = 3, flag = 0)
i_name <- rlang::quo_name(i_name)
date_time_el <- list(paste0(time_end))
names(date_time_el) <- i_name
date_time <- c(date_time, date_time_el)
val_set <-
multiagent[["agents"]][[i]][["validation_set"]] %>%
dplyr::select(
sha1, i, eval_active, eval_error, eval_warning, all_passed,
n, f_passed, f_failed, warn, notify, stop
)
html_cells <- c()
for (j in seq_len(nrow(val_set))) {
vals_step_j <-
val_set %>%
dplyr::select(-sha1) %>%
.[j, ] %>%
as.list()
cell_content <-
generate_cell_content(
layout_type = layout_type,
vals_step = vals_step_j
)
html_cells <- c(html_cells, cell_content)
}
val_set <-
val_set %>%
dplyr::mutate(!!i_name := html_cells) %>%
dplyr::select(
-c(
i, eval_active, eval_error, eval_warning, all_passed,
n, f_passed, f_failed, warn, notify, stop
)
)
if (i == 1) {
report_tbl <- val_set
next
}
report_tbl <-
report_tbl %>%
dplyr::full_join(val_set, by = "sha1")
}
if (i < 4) {
# 4UP display
i_names <- formatC((i + 1):4, width = 3, flag = 0)
for (j in seq_along(i_names)) {
i_name <- rlang::quo_name(i_names[j])
report_tbl <-
report_tbl %>%
dplyr::bind_cols(
dplyr::tibble(pb_extra_ = rep(NA_character_, nrow(report_tbl)))
) %>%
dplyr::rename(!!i_name := "pb_extra_")
}
empty_cols <- i_names
} else if (i > 4 && i < 8) {
# 8UP display
i_names <- formatC((i + 1):8, width = 3, flag = 0)
for (j in seq_along(i_names)) {
i_name <- rlang::quo_name(i_names[j])
report_tbl <-
report_tbl %>%
dplyr::bind_cols(
dplyr::tibble(pb_extra_ = rep(NA_character_, nrow(report_tbl)))
) %>%
dplyr::rename(!!i_name := "pb_extra_")
}
empty_cols <- i_names
} else if (i > 8 && i < 16) {
i_names <- formatC((i + 1):16, width = 3, flag = 0)
for (j in seq_along(i_names)) {
i_name <- rlang::quo_name(i_names[j])
report_tbl <-
report_tbl %>%
dplyr::bind_cols(
dplyr::tibble(pb_extra_ = rep(NA_character_, nrow(report_tbl)))
) %>%
dplyr::rename(!!i_name := "pb_extra_")
}
empty_cols <- i_names
} else {
empty_cols <- NULL
}
if (layout_type == "16UP") {
mean_f_passed <-
vapply(
FUN.VALUE = numeric(1),
USE.NAMES = FALSE,
multiagent[["agents"]],
FUN = function(x) {
mean_f_passed <-
mean(x$validation_set$f_passed, na.rm = TRUE)
if (is.nan(mean_f_passed)) {
mean_f_passed <- NA_real_
}
mean_f_passed
}
)
green_vals <- floor(mean_f_passed * 255)
red_vals <- floor((1 - mean_f_passed) * 255)
blue_vals <-
floor(round(1 - (abs((255 / 2) - green_vals) / (255 / 2)), 1) * 255)
offsets <- seq(from = 100 / i, to = 100, by = 100 / i) - ((100 / i) / 2)
stop_tags <-
paste0(
"<stop offset=\"",
offsets, "%\" style=\"stop-color:rgb(",
red_vals, ",", green_vals, ",", blue_vals, ");stop-opacity:1\"/>\n"
)
gradient_line <-
paste0(
"<svg height=\"10\" width=\"",
(length(multiagent[["agents"]]) * 50) - 5, "\">\n",
"<defs>\n",
"<linearGradient id=\"grad1\" x1=\"0%\" y1=\"0%\" ",
"x2=\"100%\" y2=\"0%\">\n",
paste(stop_tags, collapse = ""),
"</linearGradient>\n",
"</defs>\n",
"<rect x=\"0\" y=\"0\" width=\"",
(length(multiagent[["agents"]]) * 50) - 5,
"\" height=\"10\" fill=\"url(#grad1)\" />\n",
"</svg>"
)
gradient_line <-
paste0(
"<div style=\"padding-bottom: 2px; overflow-x: visible;\">\n",
gradient_line,
"</div>"
)
date_time[[1]] <- paste0(gradient_line, "\n", date_time[[1]])
}
# Complete the list of column label replacements
if (!is.null(empty_cols)) {
for (j in seq_along(empty_cols)) {
date_time_el <- list("")
names(date_time_el) <- empty_cols[j]
date_time <- c(date_time, date_time_el)
}
}
date_time <- c(list(sha1 = "STEP"), date_time)
n_columns <- ncol(report_tbl)
columns_used_tbl <- 1 + seq_len(i)
columns_not_used <- setdiff(seq(2, n_columns), columns_used_tbl)
# Insert the icon for each step
assertion_tbl <-
dplyr::tibble(
sha1 = character(0),
assertion_type = character(0)
)
for (x in seq_along(multiagent[["agents"]])) {
assertion_tbl <-
dplyr::bind_rows(
assertion_tbl,
multiagent[["agents"]][[x]][["validation_set"]] %>%
dplyr::select(sha1, assertion_type)
)
}
report_tbl <-
report_tbl %>%
dplyr::left_join(
assertion_tbl %>% dplyr::distinct(),
by = "sha1"
)
for (x in seq_len(nrow(report_tbl))) {
report_tbl$sha1[x] <-
gsub(
"\\s\\s+", "",
paste0(
"<div>",
" ",
add_icon_svg(icon = report_tbl$assertion_type[x]),
"<code style=\"font-size: 8px;\">",
" ", substr(report_tbl$sha1[x], 1, 6),
"</code>",
"</div>"
)
)
}
# Overall width should be 875px (agent report is 876px)
report_tbl <-
report_tbl %>%
dplyr::select(-assertion_type) %>%
gt::gt(id = "report")
if (layout_type == "4UP") {
report_tbl <-
report_tbl %>%
gt::cols_width(
gt::matches("[0-9]{3}") ~ gt::px(200),
gt::everything() ~ gt::px(75)
) %>%
gt::tab_style(
list(
style = gt::cell_text(
weight = "bold",
color = "#666666"
),
paste(
"padding-top: 8px; padding-bottom: 8px;"
)
),
locations = gt::cells_column_labels(columns = gt::everything())
) %>%
gt::tab_style(
style = gt::cell_text(weight = "bold", color = "#666666"),
locations = gt::cells_column_labels(columns = "sha1")
) %>%
gt::tab_style(
locations = gt::cells_body(columns = gt::everything()),
style = "height: 56px; margin: 0;"
)
} else if (layout_type == "8UP") {
report_tbl <-
report_tbl %>%
gt::cols_width(
gt::matches("[0-9]{3}") ~ gt::px(100),
gt::everything() ~ gt::px(75)
) %>%
gt::tab_style(
list(
style = gt::cell_text(
weight = "bold",
color = "#666666",
size = "12px",
align = "center"
),
paste(
"line-height: 1.15em; padding-top: 4px;",
"padding-bottom: 5px;"
)
),
locations = gt::cells_column_labels(columns = gt::everything())
) %>%
gt::tab_style(
style = gt::cell_text(
weight = "bold",
color = "#666666",
size = "100%",
v_align = "middle",
align = "left"
),
locations = gt::cells_column_labels(columns = "sha1")
) %>%
gt::tab_style(
locations = gt::cells_body(columns = gt::everything()),
style = "height: 56px; margin: 0;"
)
} else {
report_tbl <-
report_tbl %>%
gt::cols_width(
gt::matches("[0-9]{3}") ~ gt::px(50),
gt::everything() ~ gt::px(75)
) %>%
gt::tab_style(
list(
style = gt::cell_text(
weight = "bold",
color = "#666666",
size = "8px"
),
style = gt::cell_fill(color = "#FFFFFF"),
paste(
"line-height: 1.15em;", "padding-left: 3px;",
"padding-right: 0; padding-bottom: 3px;",
"padding-top: 0; height: 30px;",
"overflow-x: visible;"
)
),
locations = gt::cells_column_labels(columns = gt::everything())
) %>%
gt::tab_style(
list(
style = gt::cell_text(
weight = "bold",
color = "#666666",
size = "100%",
v_align = "middle",
align = "left"
),
style = gt::cell_fill(color = "#FFFFFF"),
paste(
"padding-top: 8px; padding-bottom: 8px;"
)
),
locations = gt::cells_column_labels(columns = "sha1")
) %>%
gt::tab_style(
locations = gt::cells_body(columns = gt::everything()),
style = "height: 56px; margin: 0;"
)
}
if (n_columns > 17) {
report_tbl <-
report_tbl %>%
gt::tab_style(
style = "left: 0; position: sticky; background: white; z-index: 1;",
locations = gt::cells_body(columns = 1)
) %>%
gt::tab_style(
style = "left: 0; position: sticky; background: white; z-index: 1;",
locations = gt::cells_column_labels(columns = 1)
) %>%
gt::tab_options(container.width = gt::px(875))
}
# Generate the report title with the `title` option
title_text <-
process_title_text(
title = title,
tbl_name = NULL,
report_type = "multiagent:wide",
lang = lang
)
report_tbl <-
report_tbl %>%
gt::tab_header(
title = title_text,
subtitle = gt::md(combined_subtitle)
) %>%
gt::tab_source_note(
source_note = gt::md(create_report_time_html(time = Sys.time()))
) %>%
gt::tab_options(
table.font.size = gt::pct(90),
row.striping.include_table_body = FALSE
) %>%
gt::fmt_markdown(columns = 2:n_columns) %>%
gt::fmt_markdown(columns = "sha1") %>%
gt_missing(
columns = columns_used_tbl,
missing_text = gt::html(
as.character(
htmltools::tags$hr(
style = htmltools::css(
transform = "rotate(-10deg)",
border_style = "solid",
border_width = "1px",
border_color = "#F5F5F5"
)
)
)
)
) %>%
gt_missing(
columns = columns_not_used,
missing_text = ""
) %>%
gt::tab_style(
style = gt::cell_text(font = "IBM Plex Mono", size = "small"),
locations = gt::cells_body(columns = "sha1")
) %>%
gt::tab_style(
style = gt::cell_text(
size = gt::px(28),
weight = 500,
align = "left",
color = "#444444"
),
locations = gt::cells_title("title")
) %>%
gt::tab_style(
style = gt::cell_text(
size = gt::px(12),
align = "left"
),
locations = gt::cells_title("subtitle")
) %>%
gt::tab_style(
style = list(
gt::cell_borders(sides = "right", color = "#D3D3D3"),
gt::cell_fill(color = "#FCFCFC")
),
locations = gt::cells_body(columns = "sha1")
) %>%
gt::tab_style(
style = list(
gt::cell_borders(sides = "right", color = "#D3D3D3", style = "dotted"),
gt::cell_fill(color = "#FCFCFC")
),
locations = gt::cells_body(columns = gt::matches("[0-9]{3}"))
) %>%
gt::cols_label(.list = date_time) %>%
gt::opt_align_table_header(align = "left") %>%
gt::opt_table_font(font = gt::google_font("IBM Plex Sans")) %>%
gt::opt_css(
paste0(
"@import url(\"https://unpkg.com/",
"balloon-css/balloon.min.css\");"
)
) %>%
gt::opt_css(
paste0(
"@import url(\"https://fonts.googleapis.com/",
"css2?family=IBM+Plex+Mono&display=swap\");"
)
) %>%
gt::opt_css(
css = "
#pb_information {
-webkit-font-smoothing: antialiased;
}
#report .gt_sourcenote {
height: 35px;
padding: 0
}
#report code {
font-family: 'IBM Plex Mono', monospace, courier;
font-size: 11px;
color: black;
background-color: transparent;
padding: 0;
}
#report td {
overflow: visible;
margin: 0 !important;
padding: 0 !important;
}
#report .gt_stub {
overflow: visible;
font-family: 'IBM Plex Mono', monospace, courier;
font-size: 11px;
padding-left: 5px !important;
}
"
)
if (layout_type == "16UP") {
report_tbl <-
report_tbl %>%
gt::cols_label(`001` = gt::html(date_time[[2]]))
}
class(report_tbl) <- c("ptblank_multiagent_report.wide", class(report_tbl))
# Quarto rendering workaround
if (check_quarto()) {
report_tbl <- gt::fmt(report_tbl, fns = identity)
}
report_tbl
}
generate_cell_content <- function(
layout_type,
vals_step
) {
if (!vals_step$eval_active) {
border_indicator <- "#777777"
} else if (vals_step$eval_error) {
border_indicator <- "transparent"
} else if (!is.na(vals_step$all_passed) && vals_step$all_passed) {
border_indicator <- "#4CA64C"
} else if (!is.na(vals_step$notify) && vals_step$notify) {
border_indicator <- "#499FFE"
} else if (!is.na(vals_step$stop) && vals_step$stop) {
border_indicator <- "#CF142B"
} else if (!is.na(vals_step$warn) && vals_step$warn) {
border_indicator <- "#FFBF00"
} else {
border_indicator <- "#A5D2A5"
}
if (layout_type == "4UP") {
cell_content <-
htmltools::tagList(
htmltools::tags$div(
style = htmltools::css(
padding_left = "2px",
padding_right = "2px",
padding_top = "2px"
),
htmltools::tags$div(
style = htmltools::css(
width = "20%",
float = "left",
text_align = "right",
margin_left = "4px"
),
htmltools::tags$div(
style = htmltools::css(
padding_left = "2px",
padding_right = "2px",
margin_top = "1px",
border_color = ifelse(
!vals_step$eval_active, "#777777",
ifelse(
vals_step$eval_error, "#FD9893",
ifelse(
vals_step$eval_warning, "#FFC880",
"#DDD"
)
)
),
border_width = "1px",
border_style = "solid",
border_radius = "0 4px 4px 0",
border_left_color = border_indicator,
border_left_width = "2px",
height = "32px",
background = ifelse(
!vals_step$eval_active, "#E5E5E5",
ifelse(
vals_step$eval_error, "#FFE9E9",
ifelse(
vals_step$eval_warning, "#FFEAA2",
"white"
)
)
)
),
htmltools::tags$span(
style = htmltools::css(
font_size = ifelse(vals_step$i < 100, "x-large", "16px"),
color = "#777"
),