---
title: "&nbsp;"
output:
  rmarkdown::html_document:
editor_options: 
  chunk_output_type: console
---

```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/",
  out.width = "100%"
)

# Suppress package loading messages
suppressMessages({
  library(dplyr)
  library(kableExtra)
  library(knitr)
})

suppressWarnings({
  library(htmltools)
  library(htmlwidgets)
})
```

# Package Assessment Report for `r get('pkg_name', envir = report_env)` version `r get('pkg_version', envir = report_env)` <a><img src="`r system.file('man/figures/logo.png', package = 'risk.assessr')`" align="right" height="100" /><br></a>



```{r risk_summary, echo=FALSE}
library(knitr)
library(kableExtra)

risk_summary_output <- get("risk_summary_output", envir = report_env)
license_maxes <- get("license_maxes", envir = report_env)

# Render the table using knitr and kableExtra
risk_summary_output_html <- knitr::kable(risk_summary_output,
                                         col.names = c("Type", "Values"),
                                         format = "html") %>%
  kableExtra::kable_styling("striped", 
                            position = "left", 
                            font_size = 12) %>%
  kableExtra::row_spec(0, 
                       bold = TRUE,
                       italic = TRUE,
                       background = "green") %>%
  kableExtra::add_header_above(c("Risk Assessment Summary" = 2), 
                               bold = TRUE, 
                               background = "green", 
                               color = "black")

# Apply conditional formatting based on Risk Profile values
risk_summary_output_html <- risk_summary_output_html %>%
  kableExtra::row_spec(which(risk_summary_output$Value == "Low"), background = "green") %>%
  kableExtra::row_spec(which(risk_summary_output$Value == "Medium"), background = "yellow") %>%
  kableExtra::row_spec(which(risk_summary_output$Value == "High"), background = "red")

# Apply conditional formatting for License metric
for (i in seq_len(nrow(risk_summary_output))) {
  if (risk_summary_output$Metric[i] == "License") {
    license <- risk_summary_output$Value[i]
    
    if (any(grepl(paste(license_maxes$high, collapse = "|"), license, ignore.case = TRUE))) {
      risk_summary_output_html <- risk_summary_output_html %>%
        kableExtra::row_spec(i, background = "red")
    } else if (any(grepl(paste(license_maxes$medium, collapse = "|"), license, ignore.case = TRUE))) {
      risk_summary_output_html <- risk_summary_output_html %>%
        kableExtra::row_spec(i, background = "yellow")
    } else if (any(grepl(paste(license_maxes$low, collapse = "|"), license, ignore.case = TRUE))) {
      risk_summary_output_html <- risk_summary_output_html %>%
        kableExtra::row_spec(i, background = "green")
    }

  }
}

# Display the table
risk_summary_output_html
```   

```{r risk_details, echo=FALSE, message=FALSE, warning=FALSE}
library(knitr)
library(kableExtra)
library(dplyr)
risk_details_output <- get("risk_details_output", envir = report_env)
code_covr_maxes <- get("code_covr_maxes", envir = report_env)
cmd_check_maxes <- get("cmd_check_maxes", envir = report_env)

# Convert percentage strings to numeric values for conditional formatting
risk_details_output <- risk_details_output %>%
  mutate(NumericValue = suppressWarnings(as.numeric(gsub("%", "", Value)) / 100))

# Select only the columns to display in the table
risk_details_output_display <- risk_details_output %>%
  select(Metric, Value)

# Display df
risk_details_output_html <- knitr::kable((risk_details_output_display),
                               col.names = c(
                                 "Type",
                                 "Details"),
                          "html")
kableExtra::kable_styling(risk_details_output_html, 
                          "striped", 
                          position = "left", 
                          font_size = 12) %>%
  kableExtra::row_spec(0, 
                       bold = TRUE,
                       italic = TRUE,
                       background = "green"
                               ) %>%
  kableExtra::row_spec(which(risk_details_output$Metric == "R CMD Check Score" & risk_details_output$NumericValue >= cmd_check_maxes$medium_max), 
                       background = "green") %>%
  kableExtra::row_spec(which(risk_details_output$Metric == "R CMD Check Score" & risk_details_output$NumericValue < cmd_check_maxes$medium_max), 
                       background = "red") %>%
  kableExtra::row_spec(which(risk_details_output$Metric == "R CMD Check Score" & risk_details_output$NumericValue > cmd_check_maxes$high_max & risk_details_output$NumericValue < cmd_check_maxes$medium_max), 
                       background = "yellow") %>%
  kableExtra::row_spec(which(risk_details_output$Metric == "Test Coverage Score" & risk_details_output$NumericValue > code_covr_maxes$medium_max), 
                       background = "green") %>%
  kableExtra::row_spec(which(risk_details_output$Metric == "Test Coverage Score" & risk_details_output$NumericValue < code_covr_maxes$high_max), 
                       background = "red") %>%
  kableExtra::row_spec(which(risk_details_output$Metric == "Test Coverage Score" & risk_details_output$NumericValue > code_covr_maxes$high_max & risk_details_output$NumericValue < code_covr_maxes$medium_max), 
                       background = "yellow") %>%
  kableExtra::add_header_above(c("Core Metrics and Assessment Run Details" = 2), bold = TRUE, background = "green", color = "black")
```   

```{r rcmdcheck, echo=FALSE}
library(knitr)
library(kableExtra)
rcmd_check_output <- get("rcmd_check_output", envir = report_env)

# Get the column indices based on the column names
# score_col <- which(names(rcmd_check_output) == "Score")
errors_col <- which(names(rcmd_check_output) == "Errors")
warnings_col <- which(names(rcmd_check_output) == "Warnings")
notes_col <- which(names(rcmd_check_output) == "Notes")

# Render the table using knitr and kableExtra
# Display df
rcmd_check_output_html <- knitr::kable((rcmd_check_output),
                               col.names = c(
                                 " ",
                                 "Score",
                                 "Errors",
                                 "Warnings",
                                 "Notes"
                                 ),
                          "html")
kableExtra::kable_styling(rcmd_check_output_html, 
                          "striped", 
                          position = "left", 
                          font_size = 12) %>%
  kableExtra::row_spec(0, 
                       bold = TRUE,
                       italic = TRUE,
                       background = "green" 
                               ) %>%
  kableExtra::column_spec(errors_col, 
                          background = ifelse(is.na(rcmd_check_output$Errors) | rcmd_check_output$Errors == "No errors", "green", "red")) %>%
  kableExtra::column_spec(warnings_col, 
                          background = ifelse(is.na(rcmd_check_output$Warnings) | rcmd_check_output$Warnings == "No warnings", "green", "yellow")) %>%
  kableExtra::column_spec(notes_col, 
                           background = ifelse(is.na(rcmd_check_output$Notes) | rcmd_check_output$Notes == "No notes", "green", "yellow")) %>%
  kableExtra::add_header_above(c("R CMD check" = 5), bold = TRUE, background = "green", color = "black") 
```

```{r test_coverage, echo=FALSE}
library(knitr)
library(kableExtra)

coverage_output <- get("coverage_output", envir = report_env)

render_coverage_dt <- function(df, title = "Test Coverage") {
  colnames(df) <- c("Function", "Coverage", "Errors", "Notes")
  tbl <- DT::datatable(df,
                       rownames = FALSE,
                       colnames = c("Function", "Coverage", "Errors", "Notes"),
                       options = list(
                         pageLength = 10,
                         lengthMenu = c(10, 20, 50),
                         search = list(search = ""),
                         dom = 'Bfrtip',
                         buttons = c('copy', 'csv', 'excel', 'pdf', 'print')
                       )) %>%
    DT::formatStyle(
      columns = 'Errors',
      backgroundColor = DT::styleEqual(
        levels = c("No testthat or testit configuration", "No test coverage errors", "Other Value"),
        values = c("red", "green", "red")
      )
    ) %>%
    DT::formatStyle(
      columns = 'Notes',
      backgroundColor = DT::styleEqual(
        levels = c("No test coverage notes", "Other Value"),
        values = c("green", "yellow")
      )
    )
  htmltools::tagList(
    htmltools::tags$h2(title, style = "font-weight: bold; background-color: green; color: black; text-align: center;"),
    tbl
  )
}

if (is.data.frame(coverage_output)) {
  render_coverage_dt(coverage_output)
} else {
  htmltools::tagList(lapply(names(coverage_output), function(fw) {
    render_coverage_dt(coverage_output[[fw]], title = paste("Test Coverage -", fw))
  }))
}
```

```{r doc_metrics, echo=FALSE}
library(knitr)
library(kableExtra)
doc_metrics_output <- get("doc_metrics_output", envir = report_env)


# --- Extract the doc metrics section ---
doc_metrics_df    <- doc_metrics_output$doc_metrics


# -------------------------
# 1) Documentation Metrics (keep existing styling)
# -------------------------
doc_metrics_output_html <- knitr::kable(
  doc_metrics_df,
  col.names = c("Metric Type", "Value"),
  format = "html"
)

doc_metrics_kbl <- kableExtra::kable_styling(
  doc_metrics_output_html,
  "striped",
  position = "left",
  font_size = 12
) %>%
  kableExtra::row_spec(0, bold = TRUE, italic = TRUE, background = "yellow") %>%
  kableExtra::row_spec(which(doc_metrics_df$Value != "Not Included"), background = "green") %>%
  kableExtra::row_spec(which(doc_metrics_df$Value == "Not Included"), background = "red") %>%
  # Highlight links present for URL-like metrics
  kableExtra::row_spec(
    which(
      doc_metrics_df$Metric %in% c("Has Bug Reports URL", "Has Source Control", "Has Website") &
        grepl("^https?://", doc_metrics_df$Value)
    ),
    background = "green"
  ) %>%
  # Maintainer present vs missing (treat NA/empty as missing)
  kableExtra::row_spec(
    which(doc_metrics_df$Metric == "Has Maintainer" & !is.na(doc_metrics_df$Value) & nzchar(doc_metrics_df$Value)),
    background = "green"
  ) %>%
  kableExtra::row_spec(
    which(doc_metrics_df$Metric == "Has Maintainer" & (is.na(doc_metrics_df$Value) | !nzchar(doc_metrics_df$Value))),
    background = "red"
  ) %>%
  # Treat "N/A" as not present
  kableExtra::row_spec(which(doc_metrics_df$Value == "N/A"), background = "red") %>%
  kableExtra::add_header_above(
    c("Documentation Metrics" = 2),
    bold = TRUE, background = "yellow", color = "black"
  )


  # render doc metrics
  doc_metrics_kbl

```

```{r doc_examples, echo=FALSE}
library(knitr)
library(kableExtra)
doc_metrics_output <- get("doc_metrics_output", envir = report_env)

# Fetch thresholds
example_maxes <- get("example_maxes", envir = report_env)


# --- Extract the example section ---

has_examples_df   <- doc_metrics_output$has_examples


# Scores are stored as attributes on the data.frames
has_examples_score <- attr(has_examples_df, "score")

has_examples_score <- has_examples_score * 100

# Build text for the sub-header
sub_header <- sprintf(
  "Percentage of functions with examples (score: %s%%)",
  ifelse(is.na(has_examples_score), "NA", has_examples_score)
)


# Determine sub-header color
header_color <- if (is.na(has_examples_score)) {
  "red"
} else if (has_examples_score > example_maxes$medium_max) {
  "green"
} else if (has_examples_score < example_maxes$high_max) {
  "red"
} else {
  "yellow"
}


# 1) Ensure no row names 
rownames(has_examples_df) <- NULL


# Ensure the data frame has exactly 4 columns in this order
colnames(has_examples_df) <- c(
  "Function Name",
  "Documentation Name",
  "Documentation Location",
  "Example"
)

examples_kbl <- has_examples_df %>%
  knitr::kable("html", escape = TRUE, row.names = FALSE) %>%
  kableExtra::kable_styling(
    bootstrap_options = c("striped"),
    position = "left",
    font_size = 12
  ) %>%
  # Sub-header BELOW main header (but ABOVE column names)
  kableExtra::add_header_above(
    setNames(ncol(has_examples_df), sub_header),
    bold = TRUE,
    background = header_color,
    color = "black"
  ) %>%
  # Main header ABOVE everything
  kableExtra::add_header_above(
    c("Documentation of Examples" = ncol(has_examples_df)),
    bold = TRUE,
    background = "yellow",
    color = "black"
  ) %>%
  # Style the column header row (row 0)
  kableExtra::row_spec(0, bold = TRUE, italic = TRUE, background = "yellow") %>%
  # Conditionally color data rows red where Example == "no example"
   kableExtra::row_spec(
    which(has_examples_df$Example == "no example" | has_examples_df$Example == "no Rd file"),
    background = "red")

examples_kbl

```

```{r func_docs_summary, echo=FALSE}
library(knitr)
library(kableExtra)


# --- Fetch documentation metrics and thresholds ---
doc_metrics_output <- get("doc_metrics_output", envir = report_env)
func_doc_maxes     <- get("func_doc_maxes", envir = report_env)

# Extract the has_docs dataframe
has_docs_df   <- doc_metrics_output$has_docs
has_docs_score <- attr(has_docs_df, "score")

has_docs_score <- has_docs_score * 100

# --- Build the summary dataframe (1 row) ---
num_doc_functions <- if (has_docs_score == 0) 0 else nrow(has_docs_df)

func_docs_summary <- data.frame(
  `Number of Documented Functions` = num_doc_functions,
  check.names = FALSE
)

# --- Build subheader text (same style as detailed table) ---
sub_header_docs <- sprintf(
  "Percentage of functions with documentation (score: %s%%)",
  ifelse(is.na(has_docs_score), "NA", has_docs_score)
)

# --- Determine header color using same logic as details display ---
header_color <- if (is.na(has_docs_score)) {
  "red"
} else if (has_docs_score > func_doc_maxes$medium_max) {
  "green"
} else if (has_docs_score < func_doc_maxes$high_max) {
  "red"
} else {
  "yellow"
}

# --- Build summary table using identical kableExtra styling ---
kbl_cols <- ncol(func_docs_summary)

func_docs_summary_html <- func_docs_summary %>%
  knitr::kable("html", escape = TRUE, row.names = FALSE) %>%
  kableExtra::kable_styling(
    bootstrap_options = c("striped"),
    position = "left",
    font_size = 12
  ) %>%
  
  # Sub-header BELOW main header
  kableExtra::add_header_above(
    setNames(kbl_cols, sub_header_docs),
    bold = TRUE,
    background = header_color,
    color = "black"
  ) %>%
  
  # Main header ABOVE everything
  kableExtra::add_header_above(
    setNames(kbl_cols, "Function Documentation Summary"),
    bold = TRUE,
    background = "yellow",
    color = "black"
  ) %>%
  
  # Style the column header row
  kableExtra::row_spec(
    0,
    bold = TRUE,
    italic = TRUE,
    background = "yellow"
  ) %>%
  
  
# Apply row coloring based on thresholds (mirrors reverse‑deps logic)
{
  val <- func_docs_summary$`Number of Documented Functions`

  if (!is.null(func_doc_maxes)) {

    if (val < func_doc_maxes$high_max) {
      kableExtra::row_spec(., 1, background = "red")

    } else if (val > func_doc_maxes$medium_max) {
      kableExtra::row_spec(., 1, background = "green")

    } else {
      kableExtra::row_spec(., 1, background = "yellow")
    }

  } else {
    .   # ← return table unchanged if no thresholds available
  }
}


func_docs_summary_html
```

```{r func_docs_details, echo=FALSE}
library(knitr)
library(kableExtra)
library(DT)

# Fetch the documentation dataframe
doc_metrics_output <- get("doc_metrics_output", envir = report_env)

has_docs_df  <- doc_metrics_output$has_docs

colnames(has_docs_df) <- c(
  "Function Name",
  "Documentation Name",
  "Documentation Location"
)

# Final ordering

rownames(has_docs_df) <- NULL

# Build the DT table
func_docs_details_html_DT <- DT::datatable(
  has_docs_df,
  rownames = FALSE,
  escape = TRUE,
  options = list(
    pageLength = 10,
    lengthMenu = c(10, 20, 50),
    search = list(search = "")
  )
) %>%
  htmlwidgets::onRender("function(el, x) {
    $(el).find('thead').hide();
  }")

# Display details table
func_docs_details_html_DT
```


```{r pop_metrics, echo=FALSE}
library(knitr)
library(kableExtra)
pop_metrics_output <- get("pop_metrics_output", envir = report_env)
pop_maxes <- get("pop_maxes", envir = report_env)

# Select only the columns to display in the table
pop_metrics_output_display <- pop_metrics_output %>%
  select(Metric, Value)

# Create the HTML table
pop_metrics_output_html <- knitr::kable(
  pop_metrics_output_display,
  col.names = c("Metric Type", "Value"),
  format = "html"
)

# Identify rows for conditional formatting
red_rows <- which(pop_metrics_output$Value %in% c("N/A", "0"))
green_rows <- which(
  pop_metrics_output$Metric %in% c("Date created", 
                                   "Data Extract Date", 
                                   "Stars", 
                                   "Forks", 
                                   "Recent Commits", 
                                   "Open Issues",
                                   "Downloads Last Month"
                                   ) &
    !(pop_metrics_output$Value %in% c("N/A", "0"))
)

# Apply styling
pop_metrics_output_html %>%
  kable_styling("striped", position = "left", font_size = 12) %>%
  row_spec(0, bold = TRUE, italic = TRUE, background = "yellow") %>%
  row_spec(red_rows, background = "red") %>%
  row_spec(green_rows, background = "green") %>%
  kableExtra::row_spec(which(pop_metrics_output$Metric == "Downloads Total" & pop_metrics_output$NumericValue >= pop_maxes$medium_max), 
                       background = "green") %>%
  kableExtra::row_spec(which(pop_metrics_output$Metric == "Downloads Total" & pop_metrics_output$NumericValue < pop_maxes$medium_max), 
                       background = "red") %>%
  kableExtra::row_spec(which(pop_metrics_output$Metric == "Downloads Total" & pop_metrics_output$NumericValue > pop_maxes$high_max & risk_details_output$NumericValue < pop_maxes$medium_max)) %>% 
  add_header_above(c("Popularity Metrics" = 2), bold = TRUE, background = "yellow", color = "black")
```

```{r deps_score, echo=FALSE}
library(knitr)
library(kableExtra)

deps_output <- get("deps_df", envir = report_env)
import_count <- get("import_count", envir = report_env)
suggest_count <- get("suggest_count", envir = report_env)
dep_maxes <- get("dep_maxes", envir = report_env)

# Create a summary data frame
deps_summary <- data.frame(
  No_of_Dependencies = nrow(deps_output),
  No_of_Imports = import_count,
  No_of_Suggests = suggest_count
)

# Render the summary table using knitr and kableExtra
deps_summary_html <- knitr::kable(deps_summary,
                                  col.names = c( 
                                                "Total Number of Dependencies",
                                                "Number of Imports",
                                                "Number of Suggests"
                                                ),
                                  "html") %>%
  kableExtra::kable_styling("striped", 
                            position = "left", 
                            font_size = 12) %>%
  kableExtra::row_spec(0, 
                       bold = TRUE,
                       italic = TRUE,
                       background = "#AA4A44") %>%
  kableExtra::row_spec(which(deps_summary$No_of_Imports < dep_maxes$low_max), 
                       background = "green") %>%
  kableExtra::row_spec(which(deps_summary$No_of_Imports > dep_maxes$medium_max), 
                       background = "red") %>%
  kableExtra::row_spec(which(deps_summary$No_of_Imports > dep_maxes$low_max & deps_summary$No_of_Dependencies < dep_maxes$medium_max), 
                       background = "yellow") %>%
  kableExtra::add_header_above(c("Dependencies" = 3), bold = TRUE, background = "#AA4A44", color = "black")

# Display the summary table
deps_summary_html
```

```{r deps_details, echo=FALSE}
library(knitr)
library(DT)
# Get the dependency score from report_env
deps_output <- get("deps_df", envir = report_env)

# Render the detailed table using DT
deps_output_html_DT <- DT::datatable(deps_output, 
                                     options = list(
                                       pageLength = 10,  # Number of rows to display per page
                                       lengthMenu = c(10, 20, 50),  # Options for number of rows per page
                                       search = list(search = "")  # Enable search functionality
                                     ))

# Display the interactive DT table
deps_output_html_DT
```

```{r rev_deps_sum, echo=FALSE}
library(knitr)
library(kableExtra)

# Get the rev deps data 
rev_deps_output <- get("rev_deps_df", envir = report_env)
rev_deps_summary_list <- get("rev_deps_summary", envir = report_env)
revdep_maxes <- get("revdep_maxes", envir = report_env)

# Convert the summary list to a data frame
rev_deps_summary <- data.frame(
  No_of_Dependencies = rev_deps_summary_list$rev_deps_no
)

# Render the summary table using knitr and kableExtra
rev_deps_summary_html <- knitr::kable(rev_deps_summary,
                                      col.names = c("Number of Reverse Dependencies"),
                                      "html") %>%
  kableExtra::kable_styling("striped", 
                            position = "left", 
                            font_size = 12) %>%
  kableExtra::row_spec(0, 
                       bold = TRUE,
                       italic = TRUE,
                       background = "#AA4A44") %>%
  kableExtra::row_spec(which(rev_deps_summary$No_of_Dependencies < revdep_maxes$high_max), 
                       background = "red") %>%
  kableExtra::row_spec(which(rev_deps_summary$No_of_Dependencies > revdep_maxes$medium_max), 
                       background = "green") %>%
  kableExtra::row_spec(which(rev_deps_summary$No_of_Dependencies > revdep_maxes$high_max & rev_deps_summary$No_of_Dependencies < revdep_maxes$medium_max), 
                       background = "yellow") %>%
  kableExtra::add_header_above(c("Reverse Dependencies" = 1), bold = TRUE, background = "#AA4A44", color = "black")

# Display the summary table
rev_deps_summary_html
```

```{r rev_deps_details, echo=FALSE}
library(knitr)
library(kableExtra)
library(DT)


# Get the rev deps detailed data 
rev_deps_output <- get("rev_deps_df", envir = report_env)

# Render the detailed table using DT
rev_deps_output_html_DT <- DT::datatable(rev_deps_output, 
                                     options = list(
                                       pageLength = 10,  # Number of rows to display per page
                                       lengthMenu = c(10, 20, 50),  # Options for number of rows per page
                                       search = list(search = "")
                                     ))  %>%
  htmlwidgets::onRender("function(el, x) {
    $(el).find('thead').hide();
  }")

# Display the interactive DT table
rev_deps_output_html_DT
```


```{r, echo=FALSE, results='asis'}
cat('
<div style="margin-bottom: 20px;">
  <label for="matrixSelector" style="
    background-color: purple;
    color: white;
    font-size: 20px;
    font-weight: bold;
    padding: 10px;
    border-radius: 5px;
    display: inline-block;
    margin-bottom: 10px;
  ">
    Select Traceability Matrix:
  </label>
  <select id="matrixSelector" onchange="toggleMatrix(this.value)" style="
    margin-left: 10px;
    padding: 6px;
    font-size: 18px;
    border-radius: 4px;
  ">
    <option value="all">All Functions</option>
    <option value="high">High Risk Functions</option>
    <option value="medium">Medium Risk Functions</option>
    <option value="low">Low Risk Functions</option>
    <option value="defunct">Defunct Functions</option>
    <option value="imported">Imported Functions</option>
    <option value="reexported">Re-exported Functions</option>
    <option value="experimental">Experimental Functions</option>
  </select>
</div>

<script>
  function toggleMatrix(value) {
    document.getElementById("trace_matrix_all").style.display = (value === "all") ? "block" : "none";
    document.getElementById("trace_matrix_high").style.display = (value === "high") ? "block" : "none";
    document.getElementById("trace_matrix_medium").style.display = (value === "medium") ? "block" : "none";
    document.getElementById("trace_matrix_low").style.display = (value === "low") ? "block" : "none";
    document.getElementById("trace_matrix_defunct").style.display = (value === "defunct") ? "block" : "none";
    document.getElementById("trace_matrix_imported").style.display = (value === "imported") ? "block" : "none";
    document.getElementById("trace_matrix_reexported").style.display = (value === "reexported") ? "block" : "none";
    document.getElementById("trace_matrix_experimental").style.display = (value === "experimental") ? "block" : "none";
  }

  document.addEventListener("DOMContentLoaded", function() {
    toggleMatrix("all");
  });
</script>
')
```



```{r trace_matrix_high_risk, echo=FALSE}
library(knitr)
library(kableExtra)
library(DT)
library(htmlwidgets)
library(htmltools)
library(stringr)

high_trace_matrix_output <- get("high_risk_matrix_output", envir = report_env)

# Wrap the Description column at 90 characters
high_trace_matrix_output$Description <- sapply(high_trace_matrix_output$Description, function(x) {
  paste(stringr::str_wrap(x, width = 90), collapse = "\n")
})

brks <- c(60, 80)  # Breakpoints for 0-60, 61-80, and >80
clrs <- c('red', 'yellow', 'green')  # Colors for the ranges

# Create the datatable with additional options and custom CSS for styling
high_tm_datatable_html <- DT::datatable(high_trace_matrix_output, options = list(
  pageLength = 10,  # Number of rows to display per page
  lengthMenu = c(10, 20, 50),  # Options for number of rows per page
  search = list(search = ""),  # Enable search functionality
  dom = 'Bfrtip'  # Include buttons, filter, and pagination
)) %>%
  DT::formatStyle(
    columns = names(high_trace_matrix_output),
    backgroundColor = DT::styleInterval(brks, clrs),
    valueColumns = 'Test_Coverage'
  ) %>%
  DT::formatStyle(
    columns = 1:5,
    fontSize = '12px',
    fontWeight = 'bold'
  ) %>%
  DT::formatStyle(
    columns = 1,
    color = 'white',
    backgroundColor = 'purple'
  )

# header with purple background and text "Traceability Matrix"
high_tm_datatable_html <- htmltools::tagList(
  htmltools::tags$h2("Traceability Matrix - High Risk", 
                     style = "background-color: purple; 
                     color: black; 
                     padding: 10px; 
                     text-align: center;"),
  high_tm_datatable_html
)


# Print the datatable inside a div for toggling
htmltools::tags$div(
  id = "trace_matrix_high",  
  high_tm_datatable_html
)

```

```{r trace_matrix_medium_risk, echo=FALSE}
library(knitr)
library(kableExtra)
library(DT)
library(htmlwidgets)
library(htmltools)
library(stringr)

medium_trace_matrix_output <- get("medium_risk_matrix_output", envir = report_env)

# Wrap the Description column at 90 characters
medium_trace_matrix_output$Description <- sapply(medium_trace_matrix_output$Description, function(x) {
  paste(stringr::str_wrap(x, width = 90), collapse = "\n")
})

brks <- c(60, 80)  # Breakpoints for 0-60, 61-80, and >80
clrs <- c('red', 'yellow', 'green')  # Colors for the ranges

# Create the datatable with additional options and custom CSS for styling
medium_tm_datatable_html <- DT::datatable(medium_trace_matrix_output, options = list(
  pageLength = 10,  # Number of rows to display per page
  lengthMenu = c(10, 20, 50),  # Options for number of rows per page
  search = list(search = ""),  # Enable search functionality
  dom = 'Bfrtip'  # Include buttons, filter, and pagination
)) %>%
  DT::formatStyle(
    columns = names(medium_trace_matrix_output),
    backgroundColor = DT::styleInterval(brks, clrs),
    valueColumns = 'Test_Coverage'
  ) %>%
  DT::formatStyle(
    columns = 1:5,
    fontSize = '12px',
    fontWeight = 'bold'
  ) %>%
  DT::formatStyle(
    columns = 1,
    color = 'white',
    backgroundColor = 'purple'
  )

# header with purple background and text "Traceability Matrix"
medium_tm_datatable_html <- htmltools::tagList(
  htmltools::tags$h2("Traceability Matrix - Medium Risk", 
                     style = "background-color: purple; 
                     color: black; 
                     padding: 10px; 
                     text-align: center;"),
  medium_tm_datatable_html
)

# Print the datatable inside a div for toggling
htmltools::tags$div(
  id = "trace_matrix_medium",  
  medium_tm_datatable_html
)

```

```{r trace_matrix_low_risk, echo=FALSE}
library(knitr)
library(kableExtra)
library(DT)
library(htmlwidgets)
library(htmltools)
library(stringr)

low_trace_matrix_output <- get("low_risk_matrix_output", envir = report_env)

# Wrap the Description column at 90 characters
low_trace_matrix_output$Description <- sapply(low_trace_matrix_output$Description, function(x) {
  paste(stringr::str_wrap(x, width = 90), collapse = "\n")
})

brks <- c(60, 80)  # Breakpoints for 0-60, 61-80, and >80
clrs <- c('red', 'yellow', 'green')  # Colors for the ranges

# Create the datatable with additional options and custom CSS for styling
low_tm_datatable_html <- DT::datatable(low_trace_matrix_output, options = list(
  pageLength = 10,  # Number of rows to display per page
  lengthMenu = c(10, 20, 50),  # Options for number of rows per page
  search = list(search = ""),  # Enable search functionality
  dom = 'Bfrtip'  # Include buttons, filter, and pagination
)) %>%
  DT::formatStyle(
    columns = names(low_trace_matrix_output),
    backgroundColor = DT::styleInterval(brks, clrs),
    valueColumns = 'Test_Coverage'
  ) %>%
  DT::formatStyle(
    columns = 1:5,
    fontSize = '12px',
    fontWeight = 'bold'
  ) %>%
  DT::formatStyle(
    columns = 1,
    color = 'white',
    backgroundColor = 'purple'
  )

# header with purple background and text "Traceability Matrix"
low_tm_datatable_html <- htmltools::tagList(
  htmltools::tags$h2("Traceability Matrix - Low Risk", 
                     style = "background-color: purple; 
                     color: black; 
                     padding: 10px; 
                     text-align: center;"),
  low_tm_datatable_html
)

# Print the datatable inside a div for toggling
htmltools::tags$div(
  id = "trace_matrix_low",  
  low_tm_datatable_html
)

```

```{r trace_matrix_defunct_func, echo=FALSE}
library(knitr)
library(kableExtra)
library(DT)
library(htmlwidgets)
library(htmltools)
library(stringr)

defunct_func_matrix_output <- get("defunct_func_matrix_output", envir = report_env)

# Wrap the Description column at 90 characters
defunct_func_matrix_output$Description <- sapply(defunct_func_matrix_output$Description, function(x) {
  paste(stringr::str_wrap(x, width = 90), collapse = "\n")
})

brks <- c(60, 80)  # Breakpoints for 0-60, 61-80, and >80
clrs <- c('red', 'yellow', 'green')  # Colors for the ranges

# Create the datatable with additional options and custom CSS for styling
defunct_tm_datatable_html <- DT::datatable(defunct_func_matrix_output, options = list(
  pageLength = 10,  # Number of rows to display per page
  lengthMenu = c(10, 20, 50),  # Options for number of rows per page
  search = list(search = ""),  # Enable search functionality
  dom = 'Bfrtip'  # Include buttons, filter, and pagination
)) %>%
  DT::formatStyle(
    columns = names(defunct_func_matrix_output),
    backgroundColor = DT::styleInterval(brks, clrs),
    valueColumns = 'Test_Coverage'
  ) %>%
  DT::formatStyle(
    columns = 1:5,
    fontSize = '12px',
    fontWeight = 'bold'
  ) %>%
  DT::formatStyle(
    columns = 1,
    color = 'white',
    backgroundColor = 'purple'
  )

# header with purple background and text "Traceability Matrix"
defunct_tm_datatable_html <- htmltools::tagList(
  htmltools::tags$h2("Traceability Matrix - Defunct Functions", 
                     style = "background-color: purple; 
                     color: black; 
                     padding: 10px; 
                     text-align: center;"),
  defunct_tm_datatable_html
)

# Print the datatable inside a div for toggling
htmltools::tags$div(
  id = "trace_matrix_defunct",  
  defunct_tm_datatable_html
)
```

```{r trace_matrix_imported_func, echo=FALSE}
library(knitr)
library(kableExtra)
library(DT)
library(htmlwidgets)
library(htmltools)
library(stringr)

imported_func_matrix_output <- get("imported_func_matrix_output", envir = report_env)

# Wrap the Description column at 90 characters
imported_func_matrix_output$Description <- sapply(imported_func_matrix_output$Description, function(x) {
  paste(stringr::str_wrap(x, width = 90), collapse = "\n")
})

brks <- c(60, 80)  # Breakpoints for 0-60, 61-80, and >80
clrs <- c('red', 'yellow', 'green')  # Colors for the ranges

# Create the datatable with additional options and custom CSS for styling
imported_tm_datatable_html <- DT::datatable(imported_func_matrix_output, options = list(
  pageLength = 10,  # Number of rows to display per page
  lengthMenu = c(10, 20, 50),  # Options for number of rows per page
  search = list(search = ""),  # Enable search functionality
  dom = 'Bfrtip'  # Include buttons, filter, and pagination
)) %>%
  DT::formatStyle(
    columns = names(imported_func_matrix_output),
    backgroundColor = DT::styleInterval(brks, clrs),
    valueColumns = 'Test_Coverage'
  ) %>%
  DT::formatStyle(
    columns = 1:5,
    fontSize = '12px',
    fontWeight = 'bold'
  ) %>%
  DT::formatStyle(
    columns = 1,
    color = 'white',
    backgroundColor = 'purple'
  )

# header with purple background and text "Traceability Matrix"
imported_tm_datatable_html <- htmltools::tagList(
  htmltools::tags$h2("Traceability Matrix - Imported Functions", 
                     style = "background-color: purple; 
                     color: black; 
                     padding: 10px; 
                     text-align: center;"),
  imported_tm_datatable_html
)

# Print the datatable inside a div for toggling
htmltools::tags$div(
  id = "trace_matrix_imported",  
  imported_tm_datatable_html
)
```

```{r trace_matrix_reexported_func, echo=FALSE}
library(knitr)
library(kableExtra)
library(DT)
library(htmlwidgets)
library(htmltools)
library(stringr)

reexported_func_matrix_output <- get("reexported_func_matrix_output", envir = report_env)

# Wrap the Description column at 90 characters
reexported_func_matrix_output$Description <- sapply(reexported_func_matrix_output$Description, function(x) {
  paste(stringr::str_wrap(x, width = 90), collapse = "\n")
})

brks <- c(60, 80)  # Breakpoints for 0-60, 61-80, and >80
clrs <- c('red', 'yellow', 'green')  # Colors for the ranges

# Create the datatable with additional options and custom CSS for styling
reexported_tm_datatable_html <- DT::datatable(reexported_func_matrix_output, options = list(
  pageLength = 10,  # Number of rows to display per page
  lengthMenu = c(10, 20, 50),  # Options for number of rows per page
  search = list(search = ""),  # Enable search functionality
  dom = 'Bfrtip'  # Include buttons, filter, and pagination
)) %>%
  DT::formatStyle(
    columns = names(reexported_func_matrix_output),
    backgroundColor = DT::styleInterval(brks, clrs),
    valueColumns = 'Test_Coverage'
  ) %>%
  DT::formatStyle(
    columns = 1:5,
    fontSize = '12px',
    fontWeight = 'bold'
  ) %>%
  DT::formatStyle(
    columns = 1,
    color = 'white',
    backgroundColor = 'purple'
  )

# header with purple background and text "Traceability Matrix"
reexported_tm_datatable_html <- htmltools::tagList(
  htmltools::tags$h2("Traceability Matrix - Re-exported Functions", 
                     style = "background-color: purple; 
                     color: black; 
                     padding: 10px; 
                     text-align: center;"),
  reexported_tm_datatable_html
)

# Print the datatable inside a div for toggling
htmltools::tags$div(
  id = "trace_matrix_reexported",  
  reexported_tm_datatable_html
)
```

```{r trace_matrix_experimental_func, echo=FALSE}
library(knitr)
library(kableExtra)
library(DT)
library(htmlwidgets)
library(htmltools)
library(stringr)

experimental_func_matrix_output <- get("experimental_func_matrix_output", envir = report_env)

# Wrap the Description column at 90 characters
experimental_func_matrix_output$Description <- sapply(experimental_func_matrix_output$Description, function(x) {
  paste(stringr::str_wrap(x, width = 90), collapse = "\n")
})

brks <- c(60, 80)  # Breakpoints for 0-60, 61-80, and >80
clrs <- c('red', 'yellow', 'green')  # Colors for the ranges

# Create the datatable with additional options and custom CSS for styling
experimental_tm_datatable_html <- DT::datatable(experimental_func_matrix_output, options = list(
  pageLength = 10,  # Number of rows to display per page
  lengthMenu = c(10, 20, 50),  # Options for number of rows per page
  search = list(search = ""),  # Enable search functionality
  dom = 'Bfrtip'  # Include buttons, filter, and pagination
)) %>%
  DT::formatStyle(
    columns = names(experimental_func_matrix_output),
    backgroundColor = DT::styleInterval(brks, clrs),
    valueColumns = 'Test_Coverage'
  ) %>%
  DT::formatStyle(
    columns = 1:5,
    fontSize = '12px',
    fontWeight = 'bold'
  ) %>%
  DT::formatStyle(
    columns = 1,
    color = 'white',
    backgroundColor = 'purple'
  )

# header with purple background and text "Traceability Matrix"
experimental_tm_datatable_html <- htmltools::tagList(
  htmltools::tags$h2("Traceability Matrix - Experimental Functions", 
                     style = "background-color: purple; 
                     color: black; 
                     padding: 10px; 
                     text-align: center;"),
  experimental_tm_datatable_html
)

# Print the datatable inside a div for toggling
htmltools::tags$div(
  id = "trace_matrix_experimental",  
  experimental_tm_datatable_html
)
```


```{r trace_matrix_all, echo=FALSE}
library(knitr)
library(kableExtra)
library(DT)
library(htmlwidgets)
library(htmltools)
library(stringr)

trace_matrix_output <- get("trace_matrix_output", envir = report_env)

# Wrap the Description column at 90 characters
trace_matrix_output$Description <- sapply(trace_matrix_output$Description, function(x) {
  paste(stringr::str_wrap(x, width = 90), collapse = "\n")
})

brks <- c(60, 80)  # Breakpoints for 0-60, 61-80, and >80
clrs <- c('red', 'yellow', 'green')  # Colors for the ranges

# Create the datatable with additional options and custom CSS for styling
tm_datatable_html <- DT::datatable(trace_matrix_output, options = list(
  pageLength = 10,  # Number of rows to display per page
  lengthMenu = c(10, 20, 50),  # Options for number of rows per page
  search = list(search = ""),  # Enable search functionality
  dom = 'Bfrtip'  # Include buttons, filter, and pagination
)) %>%
  DT::formatStyle(
    columns = names(trace_matrix_output),
    backgroundColor = DT::styleInterval(brks, clrs),
    valueColumns = 'Test_Coverage'
  ) %>%
  DT::formatStyle(
    columns = 1:5,
    fontSize = '12px',
    fontWeight = 'bold'
  ) %>%
  DT::formatStyle(
    columns = 1,
    color = 'white',
    backgroundColor = 'purple'
  )

# header with purple background and text "Traceability Matrix"
tm_datatable_html <- htmltools::tagList(
  htmltools::tags$h2("Traceability Matrix - All functions", 
                     style = "background-color: purple; 
                     color: black; 
                     padding: 10px; 
                     text-align: center;"),
  tm_datatable_html
)

# Print the datatable inside a div for toggling
htmltools::tags$div(
  id = "trace_matrix_all",
  tm_datatable_html
)
```