In albhasan/sits.prodes: What the Package Does (One Line, Title Case)

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

suppressMessages(library(dplyr))
suppressMessages(library(raster))
suppressMessages(library(rgdal))
suppressMessages(library(sits.prodes))
suppressMessages(library(sits.starfm))

base_path <- "/home/alber/Documents/data/experiments/prodes_reproduction"

brick_tb <- base_path %>% 
    file.path("data", "raster", "brick_hls_raw") %>% 
    list.files(pattern = "*tif$", full.names = TRUE) %>% 
    tibble::enframe(name = NULL) %>% 
    dplyr::rename(file_path = "value") %>% 
    dplyr::mutate(file_name = basename(file_path),
                  product = stringr::str_sub(basename(file_path), 4, 6),
                  tile = stringr::str_sub(basename(file_path), 12, 17),
                  start_date = lubridate::as_date(stringr::str_sub(basename(file_path),
                                                                   19, 28)), 
                  pyear = dplyr::if_else(lubridate::month(start_date) <  8, 
                                         lubridate::year(start_date), 
                                         lubridate::year(start_date) + 1),
                  band = purrr::map_chr(basename(.$file_path), function(x){
                      x %>% 
                          stringr::str_split("_") %>% 
                          vapply(function(x){x[[4]]}, character(1)) %>% 
                          return()
                  }))

# Helper funtion to summarize a column as a single character.
collapse_var <- function(x, var){
    var_values <- x %>% 
        dplyr::pull(.data[[var]]) %>% 
        unique() %>% 
        sort() %>% 
        paste(., collapse = ", ")
    x %>% 
        dplyr::slice(1) %>% 
        dplyr::select(-.data[[var]]) %>% 
        dplyr::mutate(!!var := var_values) %>% 
        return()
}

file_path <- file_name <- start_date <- NULL
suppressWarnings(
    brick_tb %>%
        dplyr::select(-c(file_path, file_name, start_date)) %>%
        dplyr::arrange(product, tile) %>%
        dplyr::group_by(product, tile, pyear) %>%
        dplyr::group_map(~ collapse_var(.x, "band"), keep = TRUE) %>%
        dplyr::bind_rows() %>%
        dplyr::group_by(product, tile) %>%
        dplyr::group_map(~ collapse_var(.x, "pyear"), keep = TRUE) %>%
        dplyr::bind_rows() %>%
        knitr::kable(digits = 0, row.names = TRUE, full_width = TRUE,
                     caption = "Summary of HLS bricks.") %>%
        kableExtra::kable_styling()
)