#' refined_liquids_data
#'
#' Process refined liquids query
#' @param query GCAM query containing refined liquids data of one or multiple scenarios
#' @param scenario GCAM scenarios to include in processed data
#' @keywords refined liquids
#' @import dplyr tidyr
#' @export
#' @examples
#' refined_liquids_data("queryA.csv", c("Reference1,date=2017-9-6T13:43:53-07:00", "Reference2,date=2017-9-6T13:43:53-07:00"))
refined_liquids_data <- function(query, scenarios, query_dir = QUERY_FOLDER){
refined_liquids_lookup <- suppressMessages(readr::read_csv(system.file("extdata", "refined_liquids_lookup.csv", package = "gcamchartr")))
fuel_order <- c("Oil", "Natural Gas", "Coal", "Coal CCS", "Biomass", "Biomass CCS")
query_title <- query_id(query_dir) %>%
filter(file == query) %>%
select(title) %>%
as.character
RL <- read_query(paste0(query_dir,query), skip = 1) %>%
filter(scenario != query_title, scenario != "scenario",
scenario %in% scenarios) %>%
gather(year, value, `1990`:`2100`) %>%
mutate(year = as.integer(year)) %>%
filter(year >= 2010) %>%
left_join(refined_liquids_lookup, by = "technology") %>%
group_by(scenario, region, Units, year, fuel) %>%
summarise(value = sum(value)) %>%
ungroup() %>%
mutate(fuel = factor(fuel, levels = fuel_order),
scenario = if_else(grepl(",date", scenario),
substr(scenario, 1, regexpr(",date", scenario)[1]-1),
scenario))
attr(RL, "query") <- query_title
attr(RL, "colors") <- REFINED_LIQUIDS_COLORS
attr(RL, "fill") <- "fuel"
attr(RL, "default_plot") <- "bar"
return(RL)
}
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