additional_Routines/populateSUAcontrol_Plugin.R
In SWS-Methodology/faoswsFisheryStandardization: Package to compute Fishery FBS
## The plugin aim is to upload data provided by the FIAS unit
## as legacy data
suppressMessages({
library(faosws)
library(faoswsUtil)
library(data.table)
library(openxlsx)
})
message('fi_SUA_FBS_upload: Initializing plugin')
if(CheckDebug()){
library(faoswsModules)
SETTINGS = ReadSettings("sws.yml")
## If you're not on the system, your settings will overwrite any others
R_SWS_SHARE_PATH = SETTINGS[["share"]]
## Define where your certificates are stored
SetClientFiles(SETTINGS[["certdir"]])
## Get session information from SWS. Token must be obtained from web interface
GetTestEnvironment(baseUrl = SETTINGS[["server"]],
token = SETTINGS[["token"]])
# Cerca .Rprofile
R_SWS_SHARE_PATH <- "R:/"
} else {
R_SWS_SHARE_PATH <- Sys.getenv("R_SWS_SHARE_PATH")
}
countrycode <- as.character(swsContext.computationParams$countrycode)
countryname <- as.character(swsContext.computationParams$countryname)
where <- paste("geographicaream49_fi = '", countrycode, "' ",
sep = "")
dttot <- ReadDatatable("fbs_fias_tot2019", where = where)
Pop <- dttot[measuredelementsuafbs == '511' ]
Pop[ , measureditemfaostat_l2:= NULL]
namesuafile <- paste(countryname, '_SUA data.xlsx', sep = "")
path <- file.path(R_SWS_SHARE_PATH, "FisheriesFBS", namesuafile)
SUA <- read.xlsx(path)
message('fi_SUA_FBS_upload: reading SUA data')
SUA <- as.data.table(SUA)
names(SUA)
setnames(SUA, c(1, 3, 5),
c('geographicAreaM49_fi',
'measuredItemFaostat_L2',
'measuredElementSuaFbs'))
SUA <- SUA[!is.na(geographicAreaM49_fi)]
SUA <- SUA[ , Unit := NULL]
years <- data.table(timePointYears = unique(as.numeric(names(SUA)[seq(7, ncol(SUA) - 1,by = 2)])),
id = 1:length(unique(as.numeric(names(SUA)[seq(7, ncol(SUA) - 1,by = 2)]))))
SUA$measuredElementSuaFbs <- ifelse(SUA$measuredElementSuaFbs == '51', '5510',
ifelse(SUA$measuredElementSuaFbs == '61', '5610',
ifelse(SUA$measuredElementSuaFbs == '62', '5622',
ifelse(SUA$measuredElementSuaFbs == '63', '5637',
ifelse(SUA$measuredElementSuaFbs == '91', '5910',
ifelse(SUA$measuredElementSuaFbs == '92', '5922',
ifelse(SUA$measuredElementSuaFbs == '93', '5937',
ifelse(SUA$measuredElementSuaFbs == '101', '5520',
ifelse(SUA$measuredElementSuaFbs == '111', '5525',
ifelse(SUA$measuredElementSuaFbs == '121', '5016',
ifelse(SUA$measuredElementSuaFbs == '131', '5023',
ifelse(SUA$measuredElementSuaFbs == '141', '5141',
ifelse(SUA$measuredElementSuaFbs == '151', '5166',
ifelse(SUA$measuredElementSuaFbs == '31', '5302',
ifelse(SUA$measuredElementSuaFbs == '41', '5423',
ifelse(SUA$measuredElementSuaFbs == '71', '5071',
ifelse(SUA$measuredElementSuaFbs == '77', '5052',
SUA$measuredElementSuaFbs)))))))))))))))))
# flag and value with same data
SUAmelt <- melt(SUA, id.vars = c(1:6),
measure.vars = list(names(SUA)[seq(7, ncol(SUA) - 1,by = 2)], names(SUA)[seq(8, ncol(SUA),by = 2)]),
variable.name = 'id',
value.name = c('Value', 'flagObservationStatus'))
SUAmelt[is.na(flagObservationStatus), flagObservationStatus := '']
SUAmelt[ , c("flagObservationStatus", "flagMethod") := list(ifelse(flagObservationStatus == 'F', 'E',
ifelse(flagObservationStatus == 'C', 'I',
ifelse(flagObservationStatus == 'B', 'E',
ifelse(flagObservationStatus == '.', 'E',
'')))),
ifelse(flagObservationStatus == 'F', 'f',
ifelse(flagObservationStatus == 'C', 'i',
ifelse(flagObservationStatus == 'B', 'b',
ifelse(flagObservationStatus == '.', '-', '-')))))]
SUAwithYears <- merge(SUAmelt, years, by = 'id', all = TRUE)
SUA <- SUAwithYears[ , c("Country", "Commodity", "Element", "id") := NULL]
SUA <- SUA[!is.na(Value)]
SUA$geographicAreaM49_fi <- as.character(SUA$geographicAreaM49_fi)
SUA$measuredItemFaostat_L2 <- as.character(SUA$measuredItemFaostat_L2)
SUA$measuredElementSuaFbs <- as.character(SUA$measuredElementSuaFbs)
SUA$timePointYears <- as.character(SUA$timePointYears)
SUA$Value <- as.numeric(SUA$Value)
SUA$flagObservationStatus <- as.character(SUA$flagObservationStatus)
SUA$flagMethod <- as.character(SUA$flagMethod)
SUA2merge <- SUA[ , .(geographicAreaM49_fi,
measuredItemFaostat_L2,
timePointYears)]
setkey(SUA2merge)
SUA2merge <- unique(SUA2merge)
SUAPop <- merge(SUA2merge, Pop, by.x = c('geographicAreaM49_fi', 'timePointYears'),
by.y = c('geographicaream49_fi', 'timepointyears'))
setnames(SUAPop, c('measuredelementsuafbs', 'value', 'flagobservationstatus', 'flagmethod'),
c('measuredElementSuaFbs', 'Value', 'flagObservationStatus', 'flagMethod'))
SUA2save <- rbind(SUA, SUAPop)
filename <- paste('sua', countryname, sep ="")
# saveRDS(SUA2save, paste('reshaped/',filename, '.rds', sep =""))
# write.csv(SUA2save, paste('reshaped/',filename, '.csv', sep =""), row.names = FALSE)
message('fi_SUA_FBS_upload: SUA data saving')
stats <- SaveData(domain = "FisheriesCommodities",
dataset = "fi_sua_balanced_control",
data = SUA2save, waitTimeout = 2000000)
#-- FBS ----
namefbsfile <- paste(countryname, '_FBS data.xlsx', sep = "")
pathfbs <- file.path(R_SWS_SHARE_PATH, "FisheriesFBS", namefbsfile)
fbs <- read.xlsx(pathfbs)
message('fi_SUA_FBS_upload: reading FBS data')
fbs <- as.data.table(fbs)
names(fbs)
fbs1 <- melt(fbs, id.vars = names(fbs)[1:2],
measure.vars = 3:ncol(fbs),
variable.name = c('measuredElementSuaFbs'),
value.name = 'Value')
fbs1 <- fbs1[!is.na(Value)]
fbs1[ , c("flagObservationStatus", "flagMethod") := list('E', 'f')]
unique(fbs1$measuredItemFaostat_L2)
unique(fbs1$measuredElementSuaFbs)
fbs1$measuredElementSuaFbs <- as.character(fbs1$measuredElementSuaFbs)
fbs1$measuredElementSuaFbs <- ifelse(fbs1$measuredElementSuaFbs == "Production", '5510',
ifelse(fbs1$measuredElementSuaFbs == "Meals.input", '5302',
ifelse(fbs1$measuredElementSuaFbs == "Other.non.food.uses", '5153',
ifelse(fbs1$measuredElementSuaFbs == "Other.non-food.uses", '5153',
ifelse(fbs1$measuredElementSuaFbs == "Imports", '5610',
ifelse(fbs1$measuredElementSuaFbs == "Food.Imports", '5610',
ifelse(fbs1$measuredElementSuaFbs == "Exports", '5910',
ifelse(fbs1$measuredElementSuaFbs == "Food.Exports", '5910',
ifelse(fbs1$measuredElementSuaFbs == "Stock.variations", '5071',
ifelse(fbs1$measuredElementSuaFbs == "Total.food.supply", '5141',
ifelse(fbs1$measuredElementSuaFbs == "Population", '511',
ifelse(fbs1$measuredElementSuaFbs == "Per.capita.food", '5038',
ifelse(fbs1$measuredElementSuaFbs == "Calories", '264',
ifelse(fbs1$measuredElementSuaFbs == "Proteins", '274',
ifelse(fbs1$measuredElementSuaFbs == "Fats", '284',
fbs1$measuredElementSuaFbs)))))))))))))))
if(any(!fbs1$measuredElementSuaFbs %in% c('5510', '5302', '5153',
'5610', '5910', '5071',
'5141', '511', '5038',
'264', '274', '284'))){
stop('There is an unrecognised element in the FBS file!')
}
fbs1$measuredItemFaostat_L2 <- ifelse(fbs1$measuredItemFaostat_L2 == "Freshwater and diadromous fish", "10",
ifelse(fbs1$measuredItemFaostat_L2 == "Demersal fish", "20",
ifelse(fbs1$measuredItemFaostat_L2 == "Pelagic fish", "30",
ifelse(fbs1$measuredItemFaostat_L2 == "Marine fish, other", "40",
ifelse(fbs1$measuredItemFaostat_L2 == "Crustaceans", "50",
ifelse(fbs1$measuredItemFaostat_L2 == "Molluscs, excl. cephalopods", "60",
ifelse(fbs1$measuredItemFaostat_L2 == "Cephalopods", "70",
ifelse(fbs1$measuredItemFaostat_L2 == "Aquatic animals, others", "90",
fbs1$measuredItemFaostat_L2))))))))
setnames(fbs1, 2, "timePointYears")
fbs1[ , geographicAreaM49_fi := countrycode]
fbsTot <- fbs1[measuredItemFaostat_L2 == 'Totals']
setnames(fbsTot, c("measuredItemFaostat_L2",
"timePointYears",
"measuredElementSuaFbs",
"Value",
"flagObservationStatus",
"flagMethod",
"geographicAreaM49_fi"), c("measureditemfaostat_l2",
"timepointyears",
"measuredelementsuafbs",
"value",
"flagobservationstatus",
"flagmethod",
"geographicaream49_fi"))
setcolorder(fbsTot, c("geographicaream49_fi",
"measureditemfaostat_l2",
"timepointyears",
"measuredelementsuafbs",
"value",
"flagobservationstatus",
"flagmethod"))
dttot <- ReadDatatable("fbs_fias_tot2019", readOnly = FALSE, where = where)
changeset <- Changeset("fbs_fias_tot2019")
AddDeletions(changeset, dttot[geographicaream49_fi == countrycode])
Finalise(changeset)
AddInsertions(changeset, fbsTot)
Finalise(changeset)
message('fi_SUA_FBS_upload: fbs_fias_tot2019 datatable updated')
FBS <- fbs1[measuredItemFaostat_L2 != 'Totals']
FBS$measuredItemFaostat_L2 <- as.character(FBS$measuredItemFaostat_L2)
FBS$geographicAreaM49_fi <- as.character(FBS$geographicAreaM49_fi)
FBS$timePointYears <- as.character(FBS$timePointYears)
FBS$measuredElementSuaFbs <- as.character(FBS$measuredElementSuaFbs)
FBS$flagObservationStatus <- as.character(FBS$flagObservationStatus)
FBS$flagMethod <- as.character(FBS$flagMethod)
FBS$Value <- as.numeric(FBS$Value)
setcolorder(FBS, c("geographicAreaM49_fi", "measuredElementSuaFbs", "measuredItemFaostat_L2",
"timePointYears", "Value", "flagObservationStatus", "flagMethod"))
filenamefbs <- paste('fbs', countryname, sep ="")
# saveRDS(FBS, paste('reshaped/',filenamefbs, '.rds', sep =""))
# write.csv(FBS, paste('reshaped/',filenamefbs, '2.csv', sep =""), row.names = FALSE)
FBS$Value <- as.numeric(FBS$Value)
SaveData(domain = "FisheriesCommodities",
dataset = "fi_fbs_fias_control",
data = FBS, waitTimeout = 2000000)
message('fi_SUA_FBS_upload: FBS data saved')
paste0("SUA data upload process completed successfully!!! ",
stats$inserted, " observations written, ",
stats$ignored, " weren't updated, ",
stats$discarded, " had problems.")
##-- send Email with notification of correct execution ----
## Initiate email
from = "sws@fao.org"
to = swsContext.userEmail
subject = "fi_SUA_FBS_upload plug-in has correctly run"
body = "The plug-in has saved the SUAs in your session"
sendmailR::sendmail(from = from, to = to, subject = subject, msg = body)
message('fi_SUA_FBS_upload: email sent')
SWS-Methodology/faoswsFisheryStandardization documentation built on July 3, 2022, 6:11 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
## The plugin aim is to upload data provided by the FIAS unit
## as legacy data
suppressMessages({
library(faosws)
library(faoswsUtil)
library(data.table)
library(openxlsx)
})
message('fi_SUA_FBS_upload: Initializing plugin')
if(CheckDebug()){
library(faoswsModules)
SETTINGS = ReadSettings("sws.yml")
## If you're not on the system, your settings will overwrite any others
R_SWS_SHARE_PATH = SETTINGS[["share"]]
## Define where your certificates are stored
SetClientFiles(SETTINGS[["certdir"]])
## Get session information from SWS. Token must be obtained from web interface
GetTestEnvironment(baseUrl = SETTINGS[["server"]],
token = SETTINGS[["token"]])
# Cerca .Rprofile
R_SWS_SHARE_PATH <- "R:/"
} else {
R_SWS_SHARE_PATH <- Sys.getenv("R_SWS_SHARE_PATH")
}
countrycode <- as.character(swsContext.computationParams$countrycode)
countryname <- as.character(swsContext.computationParams$countryname)
where <- paste("geographicaream49_fi = '", countrycode, "' ",
sep = "")
dttot <- ReadDatatable("fbs_fias_tot2019", where = where)
Pop <- dttot[measuredelementsuafbs == '511' ]
Pop[ , measureditemfaostat_l2:= NULL]
namesuafile <- paste(countryname, '_SUA data.xlsx', sep = "")
path <- file.path(R_SWS_SHARE_PATH, "FisheriesFBS", namesuafile)
SUA <- read.xlsx(path)
message('fi_SUA_FBS_upload: reading SUA data')
SUA <- as.data.table(SUA)
names(SUA)
setnames(SUA, c(1, 3, 5),
c('geographicAreaM49_fi',
'measuredItemFaostat_L2',
'measuredElementSuaFbs'))
SUA <- SUA[!is.na(geographicAreaM49_fi)]
SUA <- SUA[ , Unit := NULL]
years <- data.table(timePointYears = unique(as.numeric(names(SUA)[seq(7, ncol(SUA) - 1,by = 2)])),
id = 1:length(unique(as.numeric(names(SUA)[seq(7, ncol(SUA) - 1,by = 2)]))))
SUA$measuredElementSuaFbs <- ifelse(SUA$measuredElementSuaFbs == '51', '5510',
ifelse(SUA$measuredElementSuaFbs == '61', '5610',
ifelse(SUA$measuredElementSuaFbs == '62', '5622',
ifelse(SUA$measuredElementSuaFbs == '63', '5637',
ifelse(SUA$measuredElementSuaFbs == '91', '5910',
ifelse(SUA$measuredElementSuaFbs == '92', '5922',
ifelse(SUA$measuredElementSuaFbs == '93', '5937',
ifelse(SUA$measuredElementSuaFbs == '101', '5520',
ifelse(SUA$measuredElementSuaFbs == '111', '5525',
ifelse(SUA$measuredElementSuaFbs == '121', '5016',
ifelse(SUA$measuredElementSuaFbs == '131', '5023',
ifelse(SUA$measuredElementSuaFbs == '141', '5141',
ifelse(SUA$measuredElementSuaFbs == '151', '5166',
ifelse(SUA$measuredElementSuaFbs == '31', '5302',
ifelse(SUA$measuredElementSuaFbs == '41', '5423',
ifelse(SUA$measuredElementSuaFbs == '71', '5071',
ifelse(SUA$measuredElementSuaFbs == '77', '5052',
SUA$measuredElementSuaFbs)))))))))))))))))
# flag and value with same data
SUAmelt <- melt(SUA, id.vars = c(1:6),
measure.vars = list(names(SUA)[seq(7, ncol(SUA) - 1,by = 2)], names(SUA)[seq(8, ncol(SUA),by = 2)]),
variable.name = 'id',
value.name = c('Value', 'flagObservationStatus'))
SUAmelt[is.na(flagObservationStatus), flagObservationStatus := '']
SUAmelt[ , c("flagObservationStatus", "flagMethod") := list(ifelse(flagObservationStatus == 'F', 'E',
ifelse(flagObservationStatus == 'C', 'I',
ifelse(flagObservationStatus == 'B', 'E',
ifelse(flagObservationStatus == '.', 'E',
'')))),
ifelse(flagObservationStatus == 'F', 'f',
ifelse(flagObservationStatus == 'C', 'i',
ifelse(flagObservationStatus == 'B', 'b',
ifelse(flagObservationStatus == '.', '-', '-')))))]
SUAwithYears <- merge(SUAmelt, years, by = 'id', all = TRUE)
SUA <- SUAwithYears[ , c("Country", "Commodity", "Element", "id") := NULL]
SUA <- SUA[!is.na(Value)]
SUA$geographicAreaM49_fi <- as.character(SUA$geographicAreaM49_fi)
SUA$measuredItemFaostat_L2 <- as.character(SUA$measuredItemFaostat_L2)
SUA$measuredElementSuaFbs <- as.character(SUA$measuredElementSuaFbs)
SUA$timePointYears <- as.character(SUA$timePointYears)
SUA$Value <- as.numeric(SUA$Value)
SUA$flagObservationStatus <- as.character(SUA$flagObservationStatus)
SUA$flagMethod <- as.character(SUA$flagMethod)
SUA2merge <- SUA[ , .(geographicAreaM49_fi,
measuredItemFaostat_L2,
timePointYears)]
setkey(SUA2merge)
SUA2merge <- unique(SUA2merge)
SUAPop <- merge(SUA2merge, Pop, by.x = c('geographicAreaM49_fi', 'timePointYears'),
by.y = c('geographicaream49_fi', 'timepointyears'))
setnames(SUAPop, c('measuredelementsuafbs', 'value', 'flagobservationstatus', 'flagmethod'),
c('measuredElementSuaFbs', 'Value', 'flagObservationStatus', 'flagMethod'))
SUA2save <- rbind(SUA, SUAPop)
filename <- paste('sua', countryname, sep ="")
# saveRDS(SUA2save, paste('reshaped/',filename, '.rds', sep =""))
# write.csv(SUA2save, paste('reshaped/',filename, '.csv', sep =""), row.names = FALSE)
message('fi_SUA_FBS_upload: SUA data saving')
stats <- SaveData(domain = "FisheriesCommodities",
dataset = "fi_sua_balanced_control",
data = SUA2save, waitTimeout = 2000000)
#-- FBS ----
namefbsfile <- paste(countryname, '_FBS data.xlsx', sep = "")
pathfbs <- file.path(R_SWS_SHARE_PATH, "FisheriesFBS", namefbsfile)
fbs <- read.xlsx(pathfbs)
message('fi_SUA_FBS_upload: reading FBS data')
fbs <- as.data.table(fbs)
names(fbs)
fbs1 <- melt(fbs, id.vars = names(fbs)[1:2],
measure.vars = 3:ncol(fbs),
variable.name = c('measuredElementSuaFbs'),
value.name = 'Value')
fbs1 <- fbs1[!is.na(Value)]
fbs1[ , c("flagObservationStatus", "flagMethod") := list('E', 'f')]
unique(fbs1$measuredItemFaostat_L2)
unique(fbs1$measuredElementSuaFbs)
fbs1$measuredElementSuaFbs <- as.character(fbs1$measuredElementSuaFbs)
fbs1$measuredElementSuaFbs <- ifelse(fbs1$measuredElementSuaFbs == "Production", '5510',
ifelse(fbs1$measuredElementSuaFbs == "Meals.input", '5302',
ifelse(fbs1$measuredElementSuaFbs == "Other.non.food.uses", '5153',
ifelse(fbs1$measuredElementSuaFbs == "Other.non-food.uses", '5153',
ifelse(fbs1$measuredElementSuaFbs == "Imports", '5610',
ifelse(fbs1$measuredElementSuaFbs == "Food.Imports", '5610',
ifelse(fbs1$measuredElementSuaFbs == "Exports", '5910',
ifelse(fbs1$measuredElementSuaFbs == "Food.Exports", '5910',
ifelse(fbs1$measuredElementSuaFbs == "Stock.variations", '5071',
ifelse(fbs1$measuredElementSuaFbs == "Total.food.supply", '5141',
ifelse(fbs1$measuredElementSuaFbs == "Population", '511',
ifelse(fbs1$measuredElementSuaFbs == "Per.capita.food", '5038',
ifelse(fbs1$measuredElementSuaFbs == "Calories", '264',
ifelse(fbs1$measuredElementSuaFbs == "Proteins", '274',
ifelse(fbs1$measuredElementSuaFbs == "Fats", '284',
fbs1$measuredElementSuaFbs)))))))))))))))
if(any(!fbs1$measuredElementSuaFbs %in% c('5510', '5302', '5153',
'5610', '5910', '5071',
'5141', '511', '5038',
'264', '274', '284'))){
stop('There is an unrecognised element in the FBS file!')
}
fbs1$measuredItemFaostat_L2 <- ifelse(fbs1$measuredItemFaostat_L2 == "Freshwater and diadromous fish", "10",
ifelse(fbs1$measuredItemFaostat_L2 == "Demersal fish", "20",
ifelse(fbs1$measuredItemFaostat_L2 == "Pelagic fish", "30",
ifelse(fbs1$measuredItemFaostat_L2 == "Marine fish, other", "40",
ifelse(fbs1$measuredItemFaostat_L2 == "Crustaceans", "50",
ifelse(fbs1$measuredItemFaostat_L2 == "Molluscs, excl. cephalopods", "60",
ifelse(fbs1$measuredItemFaostat_L2 == "Cephalopods", "70",
ifelse(fbs1$measuredItemFaostat_L2 == "Aquatic animals, others", "90",
fbs1$measuredItemFaostat_L2))))))))
setnames(fbs1, 2, "timePointYears")
fbs1[ , geographicAreaM49_fi := countrycode]
fbsTot <- fbs1[measuredItemFaostat_L2 == 'Totals']
setnames(fbsTot, c("measuredItemFaostat_L2",
"timePointYears",
"measuredElementSuaFbs",
"Value",
"flagObservationStatus",
"flagMethod",
"geographicAreaM49_fi"), c("measureditemfaostat_l2",
"timepointyears",
"measuredelementsuafbs",
"value",
"flagobservationstatus",
"flagmethod",
"geographicaream49_fi"))
setcolorder(fbsTot, c("geographicaream49_fi",
"measureditemfaostat_l2",
"timepointyears",
"measuredelementsuafbs",
"value",
"flagobservationstatus",
"flagmethod"))
dttot <- ReadDatatable("fbs_fias_tot2019", readOnly = FALSE, where = where)
changeset <- Changeset("fbs_fias_tot2019")
AddDeletions(changeset, dttot[geographicaream49_fi == countrycode])
Finalise(changeset)
AddInsertions(changeset, fbsTot)
Finalise(changeset)
message('fi_SUA_FBS_upload: fbs_fias_tot2019 datatable updated')
FBS <- fbs1[measuredItemFaostat_L2 != 'Totals']
FBS$measuredItemFaostat_L2 <- as.character(FBS$measuredItemFaostat_L2)
FBS$geographicAreaM49_fi <- as.character(FBS$geographicAreaM49_fi)
FBS$timePointYears <- as.character(FBS$timePointYears)
FBS$measuredElementSuaFbs <- as.character(FBS$measuredElementSuaFbs)
FBS$flagObservationStatus <- as.character(FBS$flagObservationStatus)
FBS$flagMethod <- as.character(FBS$flagMethod)
FBS$Value <- as.numeric(FBS$Value)
setcolorder(FBS, c("geographicAreaM49_fi", "measuredElementSuaFbs", "measuredItemFaostat_L2",
"timePointYears", "Value", "flagObservationStatus", "flagMethod"))
filenamefbs <- paste('fbs', countryname, sep ="")
# saveRDS(FBS, paste('reshaped/',filenamefbs, '.rds', sep =""))
# write.csv(FBS, paste('reshaped/',filenamefbs, '2.csv', sep =""), row.names = FALSE)
FBS$Value <- as.numeric(FBS$Value)
SaveData(domain = "FisheriesCommodities",
dataset = "fi_fbs_fias_control",
data = FBS, waitTimeout = 2000000)
message('fi_SUA_FBS_upload: FBS data saved')
paste0("SUA data upload process completed successfully!!! ",
stats$inserted, " observations written, ",
stats$ignored, " weren't updated, ",
stats$discarded, " had problems.")
##-- send Email with notification of correct execution ----
## Initiate email
from = "sws@fao.org"
to = swsContext.userEmail
subject = "fi_SUA_FBS_upload plug-in has correctly run"
body = "The plug-in has saved the SUAs in your session"
sendmailR::sendmail(from = from, to = to, subject = subject, msg = body)
message('fi_SUA_FBS_upload: email sent')
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