#' Get the aggregated historical data export for for a specific country.
#'
#' @param country_code Two digit country code. Ex: NL, DE, DK, SE, FI etc.
#' @param api_key The default is NULL and searches for your GIE_PAT in you .Renviron
#' file.
#' @param max_pages Maximum number of pages to download. Defaults to 5000 to get all.
#'
#' @export
#'
#' @examples {
#'
#' library(gie)
#'
#' de <- gie_country("DE")
#' nl <- gie_country("NL")
#'
#' }
#'
gie_gas_country <- function(country_code, api_key = NULL, max_pages = 5000){
country_code <- toupper(country_code)
if(length(country_code) > 1){
stop("country_code only accepts a vector of length one.")
}
url <- paste0("https://agsi.gie.eu/api?country=", country_code, "&size=300")
cont_df <- gie_internal_page_request(url, api_key, max_pages = max_pages, country_code = country_code)
if(nrow(cont_df) == 0){
stop("No data for this country.")
}
cont_df$info <- sapply(cont_df$info, function(x){
if(length(x) < 1){
x <- as.character(NA)
} else {
x <- paste(x, collapse = ";")
}
x
})
cont_df <- suppressMessages(readr::type_convert(cont_df, na = c("", "NA", "-")))
cont_df <- dplyr::arrange(cont_df, gasDayStart)
cont_df
}
#' Get the aggregated historical data export for for a specific country.
#'
#' @param country_code Two digit country code. Ex: NL, DE, DK, SE, FI etc.
#' @param api_key The default is NULL and searches for your GIE_PAT in you .Renviron
#' file.
#'
#' @export
#'
#' @examples {
#'
#' library(gie)
#'
#' de <- gie_lng_country("DE")
#' nl <- gie_lng_country("NL")
#'
#' }
#'
gie_lng_country <- function(country_code, api_key = NULL, max_pages = 5000){
area <- toupper(country_code)
if(length(country_code) > 1){
stop("country_code only accepts a vector of length one.")
}
if(is.null(api_key)){
api_key <- Sys.getenv("GIE_PAT")
}
url <- paste0("https://alsi.gie.eu/api?country=", country_code, "&size=300")
cont_df <- gie_internal_page_request_lng(url, api_key, max_pages = max_pages, country_code = country_code)
if(nrow(cont_df) == 0){
stop("No data for this country.")
}
cont_df$info <- sapply(cont_df$info, function(x){
if(length(x) < 1){
x <- as.character(NA)
} else {
x <- paste(x, collapse = ";")
}
x
})
cont_df <- suppressMessages(readr::type_convert(cont_df, na = c("", "NA", "-")))
cont_df <- dplyr::arrange(cont_df, gasDayStart)
cont_df
}
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