# Suppress summarise info
options(tidyverse.quiet = TRUE)
options(dplyr.summarise.inform = FALSE)
library(dplyr)
library(tidyr)
library(ggplot2)
library(ingestr)
# lapply(list.files("R/","*.R", full.names = TRUE), source)
input_path <- "/data_2/FluxDataKit/v3.4/"
failed_sites <- readRDS(here::here("data/failed_sites.rds"))
# read in sites to process
sites <- FluxDataKit::fdk_site_info %>%
filter(!sitename %in% failed_sites)
# # site subset------------------
# # xxx debug
# # chose representative sites for LES book
# use_sites <- c(
# # "FI-Hyy", # Boreal Forests/Taiga
# # "US-SRM", # Deserts & Xeric Shrublands
# # "FR-Pue", # Mediterranean Forests, Woodlands & Scrub
# # "DE-Hai", # Temperate Broadleaf & Mixed Forests
# "CH-Oe2"
# # "US-Tw1", # Temperate Grasslands, Savannas & Shrublands
# # "AU-How", # Tropical & Subtropical Grasslands, Savannas & Shrubland
# # "BR-Sa3", # Tropical
# # "ZM-Mon", # Tropical deciduous forest (xeric woodland)
# # "US-ICh" # Tundra
# )
# sites <- sites |>
# filter(sitename %in% use_sites)
# #----------------------------
# loop over all sites and process them to format
# them into the correct rsofun format
driver_data <- lapply(sites$sitename, function(site){
message(sprintf("Processing %s ----", site))
message("- compiling drivers")
# Use a uniform FLUXNET HH input
# file to generate p-model (rsofun)
# compatible driver data
output <-
try(
suppressWarnings(
fdk_format_drivers(
site_info = sites |> filter(sitename == !!site),
path = input_path,
verbose = TRUE
)
)
)
if(inherits(output, "try-error")){
message(paste0("!!! formatting drivers failed for",site,"!!!"))
return(NULL)
} else {
return(output)
}
})
# bind all tibbles into one big tibble
driver_data <- dplyr::bind_rows(driver_data)
# write all drivers to file
# apply compression to minimize space
saveRDS(
driver_data,
"/data_2/FluxDataKit/v3.4/rsofun_driver_data_v3.4.rds",
compress = "xz"
)
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