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script_archive.R
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# Copyright 2024 Louis Héraut (louis.heraut@inrae.fr)*1,
#
# *1 INRAE, France
#
# This file is part of Explore2 R toolbox.
#
# Explore2 R toolbox is free software: you can redistribute it and/or
# modify it under the terms of the GNU General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# Explore2 R toolbox is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Explore2 R toolbox.
# If not, see <https://www.gnu.org/licenses/>.
## for by code
# by_dir = "by_code"
## create dirs
# Dirs = list.dirs(by_dir, full.names=TRUE, recursive=FALSE)
# Letters = gsub(".*[_]", "", Dirs)
# Letters = gsub("[[:digit:]]+", "", Letters)
# Letters = unique(Letters)
# Letters_dirpaths = file.path(by_dir, Letters)
# sapply(Letters_dirpaths, dir.create)
## move dirs
# Dirs = list.dirs(by_dir, full.names=TRUE, recursive=FALSE)
# Dirs = Dirs[grepl("data", Dirs)]
# Letters = gsub(".*[_]", "", Dirs)
# Letters = gsub("[[:digit:]]+", "", Letters)
# from = Dirs
# to = file.path(by_dir, Letters, basename(Dirs))
# file.copy(from, to)
# for (f in from) {
# if (length(list.files(f)) == 0) {
# unlink(f, recursive = TRUE)
# }
# }
## move files
# Files = list.files(by_dir, ".fst", full.names=TRUE, recursive=FALSE)
# Files = Files[grepl("(data)|(meta)", Files)]
# Letters = gsub(".*[_]", "", Files)
# Letters = gsub("([[:digit:]]+)|([.]fst)", "", Letters)
# from = Files
# to = file.path(by_dir, Letters, basename(Files))
# file.copy(from, to)
# Paths = list.files(file.path("by_chain", "NetCDF"),
# ".nc", full.names=TRUE, recursive=TRUE)
# Paths = Paths[!grepl("_SAFRAN_", Paths)]
# Files = basename(Paths)
# Infos = strsplit(Files, "_")
# EXP_merged = c("historical-rcp26", "historical-rcp45",
# "historical-rcp85", "SAFRAN")
# EXP = c("historical", "rcp26", "rcp45", "rcp85", "SAFRAN")
# GCM = unique(sapply(Infos, '[[', 10))
# RCM = unique(sapply(Infos, '[[', 11))
# BC = unique(sapply(Infos, '[[', 8))
# HM = gsub(".nc", "", unique(sapply(Infos, '[[', 12)))
# Letters = list.dirs("by_code", recursive=FALSE, full.names=FALSE)
# for (type in Types) {
# if (grepl("projection", type)) {
# if (grepl("by-chain", type)) {
# if ((grepl("daily-time-series", type) &
# !grepl("merged", type)) |
# grepl("hourly-time-series", type)) {
# EXP_tmp = EXP
# } else {
# EXP_tmp = EXP_merged
# }
# for (exp in EXP_tmp) {
# if (exp == "SAFRAN") {
# for (hm in HM) {
# dir.create(file.path(type, exp, hm),
# recursive=TRUE)
# }
# } else {
# for (gcm in GCM) {
# for (rcm in RCM) {
# for (bc in BC) {
# for (hm in HM) {
# dir.create(file.path(type, exp, gcm,
# rcm, bc, hm),
# recursive=TRUE)
# }
# }
# }
# }
# }
# }
# } else {
# sapply(file.path(type, Letters), dir.create, recursive=TRUE)
# }
# } else {
# dir.create(type)
# }
# }
download_DRIAS =
# TRUE
FALSE
to_archive = c(
## diag
#### daily-time-series
# "hydrological-diagnostic_daily-time-series_netcdf",
# "hydrological-diagnostic_daily-time-series_fst",
#### variables
# "hydrological-diagnostic_yearly-variables_fst",
# "hydrological-diagnostic_criteria_fst",
## proj
### climatological-projection
"climatological-projection_daily-time-series_by-chain_netcdf" #B
# "climatological-projection_hourly-time-series_by-chain_netcdf",
### hydrological-projection
#### daily-time-series
# "hydrological-projection_daily-time-series_by-chain_raw-netcdf" #B
# "hydrological-projection_daily-time-series_by-chain_cleaned-netcdf" #B
# "hydrological-projection_daily-time-series_by-chain_merged-netcdf" #B
#### variables
# "hydrological-projection_series-by-horizon_by-chain_fst", #B
# "hydrological-projection_series-by-horizon_by-code_fst" #B
# "hydrological-projection_changes-by-horizon_by-chain_fst", #B
# "hydrological-projection_changes-by-horizon_by-code_fst" #B
# "hydrological-projection_yearly-variables_by-chain_netcdf" #B
# "hydrological-projection_yearly-variables_by-chain_fst" #B
# "hydrological-projection_yearly-variables_by-code_fst" #B
# "hydrological-projection_daily-variables_by-chain_fst" #A
)
## Work Paths ________________________________________________________
archive_base_dir = "/media/louis/Explore2"
local_resdir = "results"
local_resources_dir = "resources"
external_resdir = "/media/louis/SUPER_LOU/archive/project/Explore2_project/Explore2_toolbox/results"
external_datadir = "/media/louis/SUPER_LOU/archive/data/Explore2/hydrologie"
example_projection_dir = "CTRIP/CNRM-CM5_historical-rcp26_ALADIN63_ADAMONT_CTRIP"
URL_DRIAS_file = "URL_DRIAS.txt"
output_DRIAS_dir = "output_DRIAS"
## Meta variables ____________________________________________________
meta_variables_paths = list.files(file.path(local_resdir,
"projection", "hydrologie",
example_projection_dir),
pattern="metaEX.*[.]fst",
full.names=TRUE, recursive=TRUE)
### meta variables serie _____________________________________________
meta_variables_serie_paths = meta_variables_paths[grepl("serie", meta_variables_paths)]
meta_variables_serie = dplyr::tibble()
for (meta_variables_path in meta_variables_serie_paths) {
meta_variables_serie =
dplyr::bind_rows(meta_variables_serie,
ASHE::read_tibble(meta_variables_path))
}
meta_variables_serie = dplyr::arrange(meta_variables_serie, variable_en)
### meta variables criteria __________________________________________
meta_variables_criteria_paths = meta_variables_paths[grepl("criteria", meta_variables_paths)]
meta_variables_criteria = dplyr::tibble()
for (meta_variables_path in meta_variables_criteria_paths) {
meta_variables_criteria =
dplyr::bind_rows(meta_variables_criteria,
ASHE::read_tibble(meta_variables_path))
}
meta_variables_criteria = dplyr::arrange(meta_variables_criteria, variable_en)
## Meta codes ________________________________________________________
codes_selection_file = "stations_selection.csv"
meta_codes = ASHE::read_tibble(file.path(local_resdir, "projection",
"hydrologie",
codes_selection_file))
## Meta chains ______________________________________________________
chains_selection_file = "projections_selection.csv"
meta_chains_merged = ASHE::read_tibble(file.path(local_resdir,
"projection",
"hydrologie",
chains_selection_file))
meta_chains_merged = dplyr::select(meta_chains_merged,
-c(file, dir, regexp, Chain, climateChain))
meta_chains_merged = tidyr::unite(meta_chains_merged,
col=climateChain,
EXP, GCM, RCM, BC,
sep="|", na.rm=TRUE, remove=FALSE)
meta_chains_merged = tidyr::unite(meta_chains_merged,
col=Chain,
EXP, GCM, RCM, BC, HM,
sep="|", na.rm=TRUE, remove=FALSE)
meta_chains_merged = tidyr::unite(meta_chains_merged,
col=path,
EXP, GCM, RCM, BC, HM,
sep="/", na.rm=TRUE, remove=FALSE)
meta_chains_merged = dplyr::relocate(meta_chains_merged, climateChain,
.after=HM)
meta_chains_merged = dplyr::relocate(meta_chains_merged, Chain,
.after=climateChain)
meta_chains_merged = dplyr::relocate(meta_chains_merged, path,
.after=Chain)
meta_chains_merged = dplyr::relocate(meta_chains_merged, EXP,
.before=GCM)
Dirpaths = meta_chains_merged$path
Dirpaths = gsub("historical[-]", "", Dirpaths)
Dirpaths_SAFRAN = Dirpaths[grepl("SAFRAN", Dirpaths)]
Dirpaths_rcp = Dirpaths[grepl("rcp", Dirpaths)]
Dirpaths_historical = unique(gsub("rcp[[:digit:]]+",
"historical", Dirpaths_rcp))
Dirpaths = c(Dirpaths_historical, Dirpaths_rcp, Dirpaths_SAFRAN)
Chain = gsub("/", "|", Dirpaths)
Chain2separate = gsub("SAFRAN[|]", "SAFRAN|NA|NA|NA|", Chain)
climateChain = stringr::str_extract(Chain, ".*[|]")
climateChain = gsub("[|]$", "", climateChain)
meta_chains = dplyr::tibble(Chain2separate=Chain2separate,
climateChain=climateChain,
Chain=Chain,
path=Dirpaths)
meta_chains = tidyr::separate(meta_chains,
Chain2separate,
c("EXP", "GCM", "RCM", "BC", "HM"),
sep="[|]")
meta_chains_tmp = dplyr::filter(meta_chains,
EXP != "SAFRAN")
Dirpaths = file.path(meta_chains_tmp$EXP,
meta_chains_tmp$GCM,
meta_chains_tmp$RCM,
meta_chains_tmp$BC)
Dirpaths = unique(Dirpaths)
climateChain = gsub("/", "|", Dirpaths)
meta_chains_climate = dplyr::tibble(climateChain=climateChain,
path=Dirpaths)
meta_chains_climate = tidyr::separate(meta_chains_climate,
climateChain,
c("EXP", "GCM", "RCM", "BC"),
remove=FALSE,
sep="[|]")
meta_chains_climate = dplyr::relocate(meta_chains_climate,
climateChain, .before=path)
## Tools _____________________________________________________________
remove_empty_dirs = function(root_dir) {
dirs = list.dirs(root_dir, recursive=TRUE, full.names=TRUE)
dirs = dirs[order(nchar(dirs), decreasing=TRUE)]
for (dir in dirs) {
if (length(list.files(dir, all.files=TRUE,
recursive=TRUE)) == 0) {
unlink(dir, recursive=TRUE)
}
}
}
get_structure = function (by="chain",
is_merged=TRUE,
is_climate=FALSE) {
if (by == "chain") {
if (is_climate) {
meta_chains_tmp = meta_chains_climate
} else {
if (is_merged) {
meta_chains_tmp = meta_chains_merged
} else {
meta_chains_tmp = meta_chains
}
}
Dirpaths = meta_chains_tmp$path
} else if (by == "code") {
Dirpaths = list.dirs(file.path(external_resdir,
"projection_for_figure",
"hydrologie"),
recursive=FALSE,
full.names=FALSE)
Dirpaths = stringr::str_extract(Dirpaths,
"[[:alpha:]][[:digit:]]{2}")
Dirpaths = file.path(substr(Dirpaths, 1, 1), Dirpaths)
Dirpaths = unique(Dirpaths)
}
return (list(Dirpaths=Dirpaths, meta_chains=meta_chains_tmp))
}
get_data_archive = function (archive_dir, From,
by="chain",
uncompress=FALSE,
is_merged=TRUE,
is_shitty=FALSE,
is_climate=FALSE,
mode="copy",
test=FALSE) {
if (by == "chain") {
Dirpaths = get_structure(by=by,
is_merged=is_merged,
is_climate=is_climate)$Dirpaths
Dirpaths_list = strsplit(Dirpaths, split="/")
nDirpaths = length(Dirpaths)
print("archive data")
for (i in 1:nDirpaths) {
if (i %% 2 == 0) {
print(paste0(round(i/nDirpaths*100, 1), "%"))
}
dirpath_list = Dirpaths_list[[i]]
exp = dirpath_list[1]
if (exp == "SAFRAN") {
if (is_shitty) {
exp_test = "SAFRAN-France-20"
} else {
exp_test = "SAFRAN"
}
if (is_climate) {
Ok = grepl(exp_test, From)
} else {
hm = dirpath_list[2]
Ok = grepl(exp_test, From) &
grepl(hm, From)
}
if (any(Ok)) {
from = From[Ok]
if (is_climate) {
dir = file.path(archive_base_dir, archive_dir,
exp)
} else {
dir = file.path(archive_base_dir, archive_dir,
exp, hm)
}
to = file.path(dir, basename(from))
if (!dir.exists(dir)) {
dir.create(unique(dirname(to)), recursive=TRUE)
}
if (!test) {
if (mode == "copy") {
file.copy(from, to)
} else if (mode == "move") {
file.rename(from, to)
}
}
} else {
if (is_climate) {
message(paste(exp))
} else {
message(paste(exp, hm))
}
}
} else {
gcm = dirpath_list[2]
rcm = dirpath_list[3]
bc = dirpath_list[4]
if (is_climate) {
Ok = grepl(exp, From) &
grepl(gcm, From) &
grepl(rcm, From) &
grepl(bc, From)
} else {
hm = dirpath_list[5]
Ok = grepl(exp, From) &
grepl(gcm, From) &
grepl(rcm, From) &
grepl(bc, From) &
grepl(hm, From)
}
if (any(Ok)) {
from = From[Ok]
if (is_climate) {
dir = file.path(archive_base_dir, archive_dir,
exp, gcm, rcm, bc)
} else {
dir = file.path(archive_base_dir, archive_dir,
exp, gcm, rcm, bc, hm)
}
to = file.path(dir, basename(from))
if (!dir.exists(dir)) {
dir.create(unique(dirname(to)), recursive=TRUE)
}
if (!test) {
if (mode == "copy") {
file.copy(from, to)
} else if (mode == "move") {
file.rename(from, to)
}
}
} else {
if (is_climate) {
message(paste(exp, gcm, rcm, bc))
} else {
message(paste(exp, gcm, rcm, bc, hm))
}
}
}
}
} else if (by == "code") {
Dirpaths = get_structure(by=by,
is_merged=is_merged,
is_climate=is_climate)$Dirpaths
nDirpaths = length(Dirpaths)
print("archive data")
for (i in 1:nDirpaths) {
if (i %% 2 == 0) {
print(paste0(round(i/nDirpaths*100, 1), "%"))
}
dirpath = Dirpaths[i]
Ok = grepl(gsub(".*[/]", "", dirpath), From)
if (any(Ok)) {
from = From[Ok]
dir = file.path(archive_base_dir, archive_dir,
dirpath)
to = file.path(dir, basename(from))
if (!dir.exists(dir)) {
dir.create(unique(dirname(to)), recursive=TRUE)
}
if (!test) {
file.copy(from, to)
}
} else {
message(dirpath)
}
}
}
if (uncompress) {
print("uncompress archive data")
for (i in 1:nDirpaths) {
if (i %% 2 == 0) {
print(paste0(round(i/nDirpaths*100, 1), "%"))
}
dirpath = Dirpaths[i]
dataEX_paths = list.files(file.path(archive_base_dir,
archive_dir,
dirpath),
pattern="dataEX",
full.names=TRUE)
for (dataEX_path in dataEX_paths) {
dataEX = ASHE::read_tibble(dataEX_path)
ID_names = names(dataEX)
ID_names = ID_names[sapply(dataEX, is.character)]
Variables_H = names(dataEX)
Variables_H = Variables_H[sapply(dataEX, is.numeric)]
Variables = gsub("[_]H[[:digit:]]", "", Variables_H)
for (variable in Variables) {
variables_h = Variables_H[grepl(variable,
Variables_H,
fixed=TRUE)]
dataEX_variable =
dplyr::select(dataEX,
dplyr::all_of(c(ID_names,
variables_h)))
ASHE::write_tibble(dataEX_variable,
filedir=file.path(archive_base_dir,
archive_dir,
dirpath),
filename=paste0(variable, ".fst"))
}
}
unlink(dataEX_paths)
}
}
}
get_meta_archive = function (archive_dir,
meta_variables=NULL,
by="chain",
is_merged=TRUE,
is_climate=FALSE) {
res = get_structure(by=by,
is_merged=is_merged,
is_climate=is_climate)
Dirpaths = res$Dirpaths
nDirpaths = length(Dirpaths)
meta_chains_tmp = res$meta_chains
if (!is.null(meta_variables)) {
print("archive meta variables")
for (i in 1:nDirpaths) {
if (i %% 2 == 0) {
print(paste0(round(i/nDirpaths*100, 1), "%"))
}
dirpath = Dirpaths[i]
ASHE::write_tibble(meta_variables,
filedir=file.path(archive_base_dir,
archive_dir,
dirpath),
filename="meta_variables.csv")
}
}
print("archive meta chains")
for (i in 1:nDirpaths) {
if (i %% 2 == 0) {
print(paste0(round(i/nDirpaths*100, 1), "%"))
}
dirpath = Dirpaths[i]
if (by == "chain") {
meta_chains_tmp2 = dplyr::filter(meta_chains_tmp,
path == dirpath)
} else {
meta_chains_tmp2 = meta_chains_tmp
}
ASHE::write_tibble(meta_chains_tmp2,
filedir=file.path(archive_base_dir,
archive_dir,
dirpath),
filename="meta_chains.csv")
}
print("archive meta codes")
if (!is_climate) {
for (i in 1:nDirpaths) {
if (i %% 2 == 0) {
print(paste0(round(i/nDirpaths*100, 1), "%"))
}
dirpath = Dirpaths[i]
path = list.files(file.path(archive_base_dir,
archive_dir,
dirpath),
pattern="([.]nc)|([.]fst)",
full.names=TRUE)[1]
format = gsub(".*[.]", "", path)
if (format == "fst") {
Code_tmp = unique(ASHE::read_tibble(path)$code)
} else if (format == "nc") {
Code_tmp =
ncdf4::ncvar_get(ncdf4::nc_open(path), "code")
}
meta_codes_tmp = dplyr::filter(meta_codes, code
%in% Code_tmp)
ASHE::write_tibble(meta_codes_tmp,
filedir=file.path(archive_base_dir,
archive_dir,
dirpath),
filename="meta_codes.csv")
}
}
}
## Process ___________________________________________________________
if (download_DRIAS) {
options(timeout=300)
URLs = readLines(file.path(local_resources_dir, URL_DRIAS_file))
output_dir = file.path(archive_base_dir, output_DRIAS_dir)
if (!dir.exists(output_dir)) {
dir.create(output_dir, showWarnings=FALSE)
}
nURL = length(URLs)
start = 86
for (i in start:nURL) {
url = URLs[i]
print(paste0(i, "/", nURL, " -> ",
round(i/nURL*100, 2), "%"))
file = basename(url)
path = file.path(output_dir, file)
download.file(url, destfile=path, mode="wb")
}
}
### 0 ________________________________________________________________
archive_dir = "climatological-projection_daily-time-series_by-chain_netcdf"
if (archive_dir %in% to_archive) {
From = list.files(file.path(archive_base_dir, output_DRIAS_dir),
pattern=".nc",
full.names=TRUE, recursive=TRUE)
get_data_archive(archive_dir, From,
by="chain",
is_merged=FALSE,
is_climate=TRUE,
mode="move")
get_meta_archive(archive_dir, meta_variables=NULL,
by="chain",
is_merged=FALSE,
is_climate=TRUE)
}
### 1 ________________________________________________________________
archive_dir = "hydrological-projection_daily-time-series_by-chain_raw-netcdf"
if (archive_dir %in% to_archive) {
From = list.files(file.path(external_datadir, "projection"),
pattern=".nc",
full.names=TRUE, recursive=TRUE)
get_data_archive(archive_dir, From,
by="chain",
is_merged=FALSE,
is_shitty=TRUE)
get_meta_archive(archive_dir, meta_variables=NULL,
by="chain",
is_merged=FALSE)
}
### 2 ________________________________________________________________
archive_dir = "hydrological-projection_daily-time-series_by-chain_cleaned-netcdf"
if (archive_dir %in% to_archive) {
From = list.files(file.path(external_datadir, "projection_clean"),
pattern=".nc",
full.names=TRUE, recursive=TRUE)
get_data_archive(archive_dir, From,
by="chain",
is_merged=FALSE,
is_shitty=TRUE)
get_meta_archive(archive_dir, meta_variables=NULL,
by="chain",
is_merged=FALSE)
}
### 3 ________________________________________________________________
archive_dir = "hydrological-projection_daily-time-series_by-chain_merged-netcdf"
if (archive_dir %in% to_archive) {
From = list.files(file.path(external_datadir, "projection_merge"),
pattern=".nc",
full.names=TRUE, recursive=TRUE)
get_data_archive(archive_dir, From,
by="chain",
is_shitty=TRUE)
get_meta_archive(archive_dir, meta_variables=NULL,
by="chain")
}
### 4 ________________________________________________________________
#### by_chain ________________________________________________________
archive_dir = "hydrological-projection_series-by-horizon_by-chain_fst"
if (archive_dir %in% to_archive) {
From = list.files(file.path(local_resdir, "projection",
"hydrologie"),
pattern=".fst",
full.names=TRUE, recursive=TRUE)
pattern = "(medQJ_H)|(QM_H)|(FDC_H)"
From = From[grepl(pattern, From)]
get_data_archive(archive_dir, From,
by="chain")
meta_variables = dplyr::filter(meta_variables_serie,
grepl(pattern,
variable_en))
get_meta_archive(archive_dir, meta_variables,
by="chain")
}
#### by_code _________________________________________________________
archive_dir = "hydrological-projection_series-by-horizon_by-code_fst"
if (archive_dir %in% to_archive) {
From = list.files(file.path(external_resdir,
"projection_for_figure",
"hydrologie"),
pattern=".fst",
full.names=TRUE, recursive=TRUE)
pattern = "medQJ_H"
From = From[grepl(pattern, From)]
get_data_archive(archive_dir, From,
by="code")
meta_variables = dplyr::filter(meta_variables_serie,
grepl(pattern,
variable_en))
get_meta_archive(archive_dir, meta_variables,
by="code")
}
### 5 ________________________________________________________________
#### by_chain ________________________________________________________
archive_dir = "hydrological-projection_changes-by-horizon_by-chain_fst"
if (archive_dir %in% to_archive) {
From = list.files(file.path(local_resdir, "projection",
"hydrologie"),
pattern=".fst",
full.names=TRUE, recursive=TRUE)
pattern = "dataEX.*criteria"
From = From[grepl(pattern, From)]
get_data_archive(archive_dir, From,
by="chain",
uncompress=TRUE)
meta_variables = meta_variables_criteria
get_meta_archive(archive_dir, meta_variables,
by="chain")
}
#### by_code _________________________________________________________
archive_dir = "hydrological-projection_changes-by-horizon_by-code_fst"
if (archive_dir %in% to_archive) {
From = list.files(file.path(external_resdir,
"projection_for_figure",
"hydrologie"),
pattern=".fst",
full.names=TRUE, recursive=TRUE)
pattern = "dataEX.*criteria"
From = From[grepl(pattern, From)]
get_data_archive(archive_dir, From,
by="code",
uncompress=TRUE)
To = list.files(file.path(archive_base_dir, archive_dir),
pattern=".fst",
full.names=TRUE, recursive=TRUE)
Variables = gsub("[.]fst", "", unique(basename(To)))
Variables_H = paste0(rep(Variables, each=3),
rep(c("_H1", "_H2", "_H3"), length(Variables)))
meta_variables = dplyr::filter(meta_variables_criteria,
variable_en %in% Variables_H)
get_meta_archive(archive_dir, meta_variables,
by="code")
}
### 6 ________________________________________________________________
archive_dir = "hydrological-projection_yearly-variables_by-chain_netcdf"
if (archive_dir %in% to_archive) {
From = list.files(file.path(external_resdir, "NetCDF"),
pattern=".nc",
full.names=TRUE, recursive=TRUE)
get_data_archive(archive_dir, From,
by="chain")
meta_variables = meta_variables_serie
Variables_table =
c("centerLF_summer"="centerLF_seas-MJJASON",
"centerLF"="centerLF_yr",
"dtFlood"="dtFlood_yr",
"dtLF_summer"="dtLF_seas-MJJASON",
"dtLF"="dtLF_yr",
"Q05A"="Q05A_yr",
"Q10A"="Q10A_yr",
"Q50A"="Q50A_yr",
"Q90A"="Q90A_yr",
"Q95A"="Q95A_yr",
"QMA[_].*"="QA_mon",
"QSA_DJF"="QA_seas-DJF",
"QSA_JJA"="QA_seas-JJA",
"QSA_MAM"="QA_seas-MAM",
"QSA_SON"="QA_seas-SON",
"QA"="QA_yr",
"QJXA"="QJXA_hyr",
"QMNA"="QMNA_yr",
"startLF_summer"="startLF_seas-MJJASON",
"startLF"="startLF_yr",
"tQJXA"="tQJXA_hyr",
"tVCX10"="tVCX10_yr",
"tVCX3"="tVCX3_hyr",
"VCN10"="VCN10_hyr",
"VCN10_summer"="VCN10_seas-MJJASON",
"VCN30_summer"="VCN30_seas-MJJASON",
"VCN10"="VCN30_yr",
"VCN3"="VCN3_hyr",
"VCN3_summer"="VCN3_seas-MJJASON",
"VCX10"="VCX10_yr",
"VCX3"="VCX3_hyr")
meta_variables$variable_in_nc = NA
for (i in 1:length(Variables_table)) {
variable_nc = Variables_table[i]
variable = names(Variables_table)[i]
ok = grepl(variable, meta_variables$variable_en)
meta_variables$variable_in_nc[ok] = variable_nc
}
meta_variables = dplyr::relocate(meta_variables,
variable_in_nc,
.before=variable_en)
meta_variables = dplyr::filter(meta_variables, !is.na(variable_in_nc))
get_meta_archive(archive_dir, meta_variables,
by="chain")
}
### 7 ________________________________________________________________
#### by_chain ________________________________________________________
archive_dir = "hydrological-projection_yearly-variables_by-chain_fst"
if (archive_dir %in% to_archive) {
From = list.files(file.path(local_resdir, "projection",
"hydrologie"),
pattern=".fst",
full.names=TRUE, recursive=TRUE)
From = From[grepl("serie", From) &
!grepl("meta", From) &
!grepl("(medQJ_H)|(QM_H)|(FDC_H)", From)]
get_data_archive(archive_dir, From,
by="chain")
Variable = gsub("[.]fst", "", unique(basename(From)))
meta_variables = dplyr::filter(meta_variables_serie,
variable_en %in% Variable)
get_meta_archive(archive_dir, meta_variables,
by="chain")
}
#### by_code _________________________________________________________
archive_dir = "hydrological-projection_yearly-variables_by-code_fst"
if (archive_dir %in% to_archive) {
From = list.files(file.path(external_resdir,
"projection_for_figure",
"hydrologie"),
pattern=".fst",
full.names=TRUE, recursive=TRUE)
From = From[grepl("serie", From) &
!grepl("meta", From) &
!grepl("medQJ_H", From)]
get_data_archive(archive_dir, From,
by="code")
Variable = gsub("[.]fst", "", unique(basename(From)))
meta_variables = dplyr::filter(meta_variables_serie,
variable_en %in% Variable)
get_meta_archive(archive_dir, meta_variables,
by="code")
}
### 8 ________________________________________________________________
archive_dir = "hydrological-projection_daily-variables_by-chain_fst"
if (archive_dir %in% to_archive) {
From = list.files(file.path(external_resdir, "BF"),
pattern=".fst",
full.names=TRUE, recursive=TRUE)
meta_variables_path = From[grepl("metaEX", From)][1]
meta_variables = ASHE::read_tibble(meta_variables_path)
pattern = "BF_LH"
From = From[grepl(pattern, From)]
get_data_archive(archive_dir, From,
by="chain")
get_meta_archive(archive_dir, meta_variables,
by="chain")
}
### tmp path _________________________________________________________
# Paths_tmp = list.files(file.path(archive_base_dir, archive_dir), pattern="meta_chain", full.names=TRUE, recursive=TRUE)
# Paths_tmp = list.dirs(base_dir, full.names=TRUE, recursive=TRUE)
### rename ___________________________________________________________
# file.copy(Paths_tmp, gsub("LSCE-IPSL-CDFt", "CDFt", Paths_tmp))
### rewrite __________________________________________________________
# rewrite = function(path) {
# ASHE::write_tibble(ASHE::read_tibble(path),
# filedir=dirname(path),
# filename="meta_variables.csv")
# }
# sapply(Paths_tmp, rewrite)
### delete ___________________________________________________________
# unlink(Paths_tmp)
# remove_empty_dirs(file.path(archive_base_dir, archive_dir))
# for (dir in Types) {
# Paths_tmp = list.files(dir, pattern="meta[_]chains",
# full.names=TRUE, recursive=TRUE)
# for (path in Paths_tmp) {
# ASHE::write_tibble(meta_projection,
# filedir=dirname(path),
# filename="meta_chains.csv")
# }
# Paths_tmp = list.dirs(dir, full.names=TRUE, recursive=TRUE)
# file.copy(Paths_tmp, gsub("LSCE-IPSL-CDFt", "CDFt", Paths_tmp))
# Paths_tmp = list.files(dir, pattern="meta_projections", full.names=TRUE, recursive=TRUE)
# file.copy(Paths_tmp, gsub("meta_projections", "meta_chains", Paths_tmp))
# unlink(Paths_tmp)
# }
## initialisation ____________________________________________________
### by_code __________________________________________________________
# Paths = list.files("by_code", pattern=".fst",
# full.names=TRUE, recursive=TRUE)
# metaEX_serie_path = Paths[grepl("metaEX_serie", Paths)][1]
# metaEX_serie = ASHE::read_tibble(metaEX_serie_path)
# metaEX_criteria_path = Paths[grepl("metaEX_criteria", Paths)][1]
# metaEX_criteria = ASHE::read_tibble(metaEX_criteria_path)
## hydrological-projection_series-by-horizon_by-code_fst _____________
# base_dir = "hydrological-projection_series-by-horizon_by-code_fst"
# From = Paths[grepl("medQJ", Paths)]
# Letters_Digits = gsub(".*[_]", "", dirname(From))
# Digits = substr(Letters_Digits, 2, 3)
# Letters = substr(Letters_Digits, 1, 1)
# To_dirpath = file.path(base_dir, Letters, Digits)
# for (dirpath in To_dirpath) {
# if (!dir.exists(dirpath)) {
# dir.create(dirpath, recursive=TRUE)
# }
# }
# To = file.path(To_dirpath, basename(From))
# file.copy(From, To)
# metaEX = dplyr::filter(metaEX_serie, grepl("medQJ", variable_en))
# sapply(To_dirpath, ASHE::write_tibble, tbl=metaEX, filename="meta_variables.csv")
# sapply(To_dirpath, ASHE::write_tibble, tbl=meta_projection, filename="meta_chains.csv")
# for (dirpath in To_dirpath) {
# Code_tmp =
# unique(ASHE::read_tibble(file.path(dirpath,
# "medQJ_H0.fst"))$code)
# meta_station_tmp = dplyr::filter(meta_station, code %in% Code_tmp)
# ASHE::write_tibble(meta_station_tmp,
# filedir=dirpath,
# filename="meta_codes.csv")
# }
## hydrological-projection_changes-by-horizon_by-code_fst ____________
# base_dir = "hydrological-projection_changes-by-horizon_by-code_fst"
# From = Paths[grepl("dataEX_criteria", Paths)]
# Letters_Digits = gsub(".fst", "", gsub(".*[_]", "", basename(From)))
# Digits = substr(Letters_Digits, 2, 3)
# Letters = substr(Letters_Digits, 1, 1)
# To_dirpath = file.path(base_dir, Letters, Digits)
# for (dirpath in To_dirpath) {
# if (!dir.exists(dirpath)) {
# dir.create(dirpath, recursive=TRUE)