R/ozone_daily_report.R
In jobonaf/arpautils: R utility functions for Arpae ER air quality data
## procedura che produce quotidianamente le elaborazioni sui dati di ozono
## Operazioni:
## 1) estrazione
## 2) calcolo indicatori e loro validita'
## 3) identificazione eventi
## 4) scrittura su DB
## DA COMMENTARE PRIMA DEL PACKAGING:
##-------------------------------------
# source("./R/dbqa.functions.R")
# source("./R/aqstat.functions.R")
# source("./R/xts.functions.R")
# source("./R/time.functions.R")
##-------------------------------------
prepare.ozone_daily_report <- function(con,
id.staz,
Date=NULL,
...){
## 0) operazioni preliminari
if(is.null(Date)) {
Date <- format(as.POSIXct(paste(Sys.Date(),"00:00"), tz="Africa/Algiers")-60*60*6,"%Y-%m-%d") # ieri
}
f.date <- as.POSIXct(paste(Date,"23:59"), tz="Africa/Algiers") # fine giornata
i.date <- as.POSIXct(paste(Year(f.date)-1,"-12-31 16:00",sep=""), tz="Africa/Algiers") # margine per media mobile
## 1) estrazione
if((as.POSIXct(Sys.time()) - i.date) > 365*2) {
tab <- "storico"
} else {
tab <- "recente"
}
Dat <- dbqa.get.datastaz(con=con,ts.range=c(i.date,f.date),
tstep="H",
id.staz=id.staz,
id.param=7,
#flg=c(0,1),
flg=1,
bulk_read=28, # valore ottimale
table=tab,
...)
out <- list(Dat=Dat, id.staz=id.staz)
return(out)
}
calculate.ozone_daily_report <- function(data){
Dat <- data$Dat
id.param=7
if(!is.null(Dat)){
## 2) calcolo indicatori e loro validita'
Time <- index(Dat)
day <- Ymd(Time)
yDat <- last(Dat,'1 year') # solo dati ultimo anno
yTime <- index(yDat)
yday <- Ymd(yTime)
dDat <- last(Dat,'1 day') # solo dati ultimo giorno
dTime <- index(dDat)
dday <- Ymd(dTime)
yDatR <- dbqa.round(as.vector(yDat),id.param=7) # solo dati ultimo anno, arrotondati (ma dovrebbero gia' esserlo)
dDatR <- dbqa.round(as.vector(dDat),id.param=7) # solo dati ultimo giorno, arrotondati (ma dovrebbero gia' esserlo)
## - max giornaliero (con arrotondamento)
max.day <- dbqa.round(stat.period(x=as.vector(dDat),period=dday,necess=18,FUN=max),id.param=7)
hour.max.day <- Hour(index(dDat))[unlist(which.period(x=as.vector(dDat),
period=dday,
necess=18,
FUN=which.max))][1]
# - orari di superamento 180 e 240
# hours.exc.180 <- squeeze(Hour(index(dDat))[which(dDatR>180)])
# hours.exc.240 <- squeeze(Hour(index(dDat))[which(dDatR>240)])
# - max media mobile 8h (con arrotondamento)
ave.8h <- dbqa.round(mean_window(x=as.vector(Dat),k=8,necess=6),id.param=7)
max.ave.8h <- stat.period(x=ave.8h,period=day,necess=18,FUN=max)[-1]
## - no. sup. orari soglia 180 nel giorno (valori arrotondati)
nexc.180 <- sum(as.numeric(dDatR>180), na.rm=T)
## - no. sup. orari soglia 240 nel giorno (valori arrotondati)
nexc.240 <- sum(as.numeric(dDatR>240), na.rm=T)
## - no. sup. orari soglia 180 da inizio anno (valori arrotondati)
cumul.nexc.180 <- sum(as.numeric(yDatR>180), na.rm=T)
## - no. sup. orari soglia 240 da inizio anno (valori arrotondati)
cumul.nexc.240 <- sum(as.numeric(yDatR>240), na.rm=T)
## - no. sup. giorn. soglia 120 da inizio anno
cumul.nexc.120 <- sum(as.numeric(dbqa.round(max.ave.8h,id.param)>120), na.rm=T)
daily.report <- data.frame(max.day= max.day,
hour.max.day= hour.max.day,
max.ave.8h= max.ave.8h[length(max.ave.8h)],
nexc.180=nexc.180,
nexc.240=nexc.240,
cumul.nexc.180=cumul.nexc.180,
cumul.nexc.240=cumul.nexc.240,
cumul.nexc.120=cumul.nexc.120)
} else {
daily.report <- data.frame(max.day= NA,
hour.max.day= NA,
max.ave.8h= NA,
nexc.180=NA,
nexc.240=NA,
cumul.nexc.180= NA,
cumul.nexc.240= NA,
cumul.nexc.120= NA)
}
## 3) identificazione eventi
if(!is.null(Dat)){
Ev180 <- detect.event(yDatR,180)
if(is.data.frame(Ev180)) {
Time180 <- index(yDat)[Ev180$index]
Max180 <- Ev180$max
events.180 <- data.frame(start.time=Time180,
duration=Ev180$duration,
max=Max180)
## tiene solo gli eventi che finiscono l'ultimo giorno
end.time <- Time180 + Ev180$duration*60*60
last.day <- dday[1]
events.180 <- events.180[Ymd(end.time)==last.day,]
} else {
events.180 <- NULL
}
Ev240 <- detect.event(yDatR,240)
if(is.data.frame(Ev240)) {
Time240 <- index(yDat)[Ev240$index]
Max240 <- Ev240$max
events.240 <- data.frame(start.time=Time240,
duration=Ev240$duration,
max=Max240)
## tiene solo gli eventi che finiscono l'ultimo giorno
end.time <- Time240 + Ev240$duration*60*60
last.day <- dday[1]
events.240 <- events.240[Ymd(end.time)==last.day,]
} else {
events.240 <- NULL
}
events <- list(exc.180=events.180,
exc.240=events.240)
} else {
events <- NULL
}
Out <- list(daily.report=daily.report,
events=events,
id.staz=data$id.staz,
first.time.year=yTime[1],
last.time=dTime[24]+3600,
first.time.day=dTime[1])
return(Out)
}
write.ozone_daily_report <- function(con,
ODR,
empty=F,
verbose=F,
...) {
## svuota tabella se richiesto
if(empty){
dbGetQuery(con, 'truncate table WEB_BOLLETTINO_OZONO')
}
id.param = 7 # Ozono
## elimina record del GIORNO-CONFIG_STAZ-PARAMETRO
dbqa.delete(con=con, tab="WEB_BOLLETTINO_OZONO",
keys=c("to_char(GIORNO,'YYYY-MM-DD')",
"ID_CONFIG_STAZ",
"ID_PARAMETRO"),
values=c(paste("'",format(ODR$first.time.day,"%Y-%m-%d"),"'",sep=""),
ODR$id.staz,
id.param),
verbose=verbose)
dbCommit(con)
date4db <- function(x) {format(x,format="%Y-%m-%d %H:%M")}
prov <- unlist(dbGetQuery(con,
paste("select COD_PRV from AA_ARIA.T$01$CONFIG_STAZIONI",
"where ID_CONFIG_STAZ=",ODR$id.staz)))
## inserisce elaborazioni giornaliere floating
## e se sono <LOD mette "<" in SEGNO e il LOD in V_ELAB_C
lod <- dbqa.lod(con = con, id.param = id.param, days = ODR$first.time.day)
dbqa.insert(con=con, tab="WEB_BOLLETTINO_OZONO",
values=data.frame(GIORNO =date4db(ODR$first.time.day),
ID_CONFIG_STAZ =ODR$id.staz,
COD_PRV =prov,
ID_PARAMETRO =id.param,
ID_ELABORAZIONE=c(3,88), #max med 8h, max day
ID_EVENTO =0,
V_ELAB_F =c(ODR$daily.report$max.ave.8h,
ODR$daily.report$max.day),
TS1_V1_ELAB =c(date4db(ODR$first.time.day),
date4db(ODR$first.time.day+
3600*ODR$daily.report$hour.max.day)),
TS2_V1_ELAB =c(date4db(ODR$last.time),
date4db(ODR$first.time.day+
3600*ODR$daily.report$hour.max.day+
60*60)),
TS_INS =date4db(Sys.time()),
FLG_ELAB =1,
V_ELAB_C =ifelse(test = c(ODR$daily.report$max.ave.8h,
ODR$daily.report$max.day) < lod,
yes = as.character(lod),
no = ""),
SEGNO =ifelse(test = c(ODR$daily.report$max.ave.8h,
ODR$daily.report$max.day) < lod,
yes = "<",
no = ""),
row.names = NULL),
to_date=c(1,8,9,10),
verbose=verbose,
...)
## inserisce elaborazioni giornaliere integer
dbqa.insert(con=con, tab="WEB_BOLLETTINO_OZONO",
values=data.frame(GIORNO =date4db(ODR$first.time.day),
ID_CONFIG_STAZ =ODR$id.staz,
COD_PRV =prov,
ID_PARAMETRO =id.param,
ID_ELABORAZIONE=c(84,87), #n.ore sup.180,240
ID_EVENTO =0,
V_ELAB_I =c(ODR$daily.report$nexc.180,
ODR$daily.report$nexc.240),
TS1_V1_ELAB =date4db(ODR$first.time.day),
TS2_V1_ELAB =date4db(ODR$last.time),
TS_INS =date4db(Sys.time()),
FLG_ELAB =1,
row.names = NULL),
to_date=c(1,8,9,10),
verbose=verbose,
...)
## inserisce elaborazioni cumulate da inizio anno integer
dbqa.insert(con=con, tab="WEB_BOLLETTINO_OZONO",
values=data.frame(GIORNO =date4db(ODR$first.time.day),
ID_CONFIG_STAZ =ODR$id.staz,
COD_PRV =prov,
ID_PARAMETRO =id.param,
ID_ELABORAZIONE=c(82,85,89), #n.ore sup.120,180,240
ID_EVENTO =0,
V_ELAB_I =c(ODR$daily.report$cumul.nexc.120,
ODR$daily.report$cumul.nexc.180,
ODR$daily.report$cumul.nexc.240),
TS1_V1_ELAB =date4db(ODR$first.time.year),
TS2_V1_ELAB =date4db(ODR$last.time),
TS_INS =date4db(Sys.time()),
FLG_ELAB =1,
row.names = NULL),
to_date=c(1,8,9,10),
verbose=verbose,
...)
## inserisce elaborazioni di evento floating
if(!is.null(unlist(ODR$events))){
nev180 <- ifelse(is.data.frame(ODR$events$exc.180),
nrow(ODR$events$exc.180),
length(ODR$events$exc.180))
nev240 <- ifelse(is.data.frame(ODR$events$exc.240),
nrow(ODR$events$exc.240),
length(ODR$events$exc.240))
if(nev180>0){
dbqa.insert(con=con, tab="WEB_BOLLETTINO_OZONO",
values=data.frame(GIORNO =date4db(ODR$first.time.day),
ID_CONFIG_STAZ =ODR$id.staz,
COD_PRV =prov,
ID_PARAMETRO =id.param,
ID_ELABORAZIONE=rep(83,nev180), #conc.max evento 180
ID_EVENTO =0:(nev180-1),
V_ELAB_F =ODR$events$exc.180$max,
TS1_V1_ELAB =date4db(ODR$events$exc.180$start.time),
TS2_V1_ELAB =date4db(ODR$events$exc.180$start.time+
3600*ODR$events$exc.180$duration),
TS_INS =date4db(Sys.time()),
FLG_ELAB =1,
row.names = NULL),
to_date=c(1,8,9,10),
verbose=verbose,
...)
}
if(nev240>0){
dbqa.insert(con=con, tab="WEB_BOLLETTINO_OZONO",
values=data.frame(GIORNO =date4db(ODR$first.time.day),
ID_CONFIG_STAZ =ODR$id.staz,
COD_PRV =prov,
ID_PARAMETRO =id.param,
ID_ELABORAZIONE=rep(86,nev240), #conc.max evento 240
ID_EVENTO =0:(nev240-1),
V_ELAB_F =ODR$events$exc.240$max,
TS1_V1_ELAB =date4db(ODR$events$exc.240$start.time),
TS2_V1_ELAB =date4db(ODR$events$exc.240$start.time+
3600*ODR$events$exc.240$duration),
TS_INS =date4db(Sys.time()),
FLG_ELAB =1,
row.names = NULL),
to_date=c(1,8,9,10),
verbose=verbose,
...)
}
}
}
jobonaf/arpautils documentation built on May 19, 2019, 2:58 p.m.
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## procedura che produce quotidianamente le elaborazioni sui dati di ozono
## Operazioni:
## 1) estrazione
## 2) calcolo indicatori e loro validita'
## 3) identificazione eventi
## 4) scrittura su DB
## DA COMMENTARE PRIMA DEL PACKAGING:
##-------------------------------------
# source("./R/dbqa.functions.R")
# source("./R/aqstat.functions.R")
# source("./R/xts.functions.R")
# source("./R/time.functions.R")
##-------------------------------------
prepare.ozone_daily_report <- function(con,
id.staz,
Date=NULL,
...){
## 0) operazioni preliminari
if(is.null(Date)) {
Date <- format(as.POSIXct(paste(Sys.Date(),"00:00"), tz="Africa/Algiers")-60*60*6,"%Y-%m-%d") # ieri
}
f.date <- as.POSIXct(paste(Date,"23:59"), tz="Africa/Algiers") # fine giornata
i.date <- as.POSIXct(paste(Year(f.date)-1,"-12-31 16:00",sep=""), tz="Africa/Algiers") # margine per media mobile
## 1) estrazione
if((as.POSIXct(Sys.time()) - i.date) > 365*2) {
tab <- "storico"
} else {
tab <- "recente"
}
Dat <- dbqa.get.datastaz(con=con,ts.range=c(i.date,f.date),
tstep="H",
id.staz=id.staz,
id.param=7,
#flg=c(0,1),
flg=1,
bulk_read=28, # valore ottimale
table=tab,
...)
out <- list(Dat=Dat, id.staz=id.staz)
return(out)
}
calculate.ozone_daily_report <- function(data){
Dat <- data$Dat
id.param=7
if(!is.null(Dat)){
## 2) calcolo indicatori e loro validita'
Time <- index(Dat)
day <- Ymd(Time)
yDat <- last(Dat,'1 year') # solo dati ultimo anno
yTime <- index(yDat)
yday <- Ymd(yTime)
dDat <- last(Dat,'1 day') # solo dati ultimo giorno
dTime <- index(dDat)
dday <- Ymd(dTime)
yDatR <- dbqa.round(as.vector(yDat),id.param=7) # solo dati ultimo anno, arrotondati (ma dovrebbero gia' esserlo)
dDatR <- dbqa.round(as.vector(dDat),id.param=7) # solo dati ultimo giorno, arrotondati (ma dovrebbero gia' esserlo)
## - max giornaliero (con arrotondamento)
max.day <- dbqa.round(stat.period(x=as.vector(dDat),period=dday,necess=18,FUN=max),id.param=7)
hour.max.day <- Hour(index(dDat))[unlist(which.period(x=as.vector(dDat),
period=dday,
necess=18,
FUN=which.max))][1]
# - orari di superamento 180 e 240
# hours.exc.180 <- squeeze(Hour(index(dDat))[which(dDatR>180)])
# hours.exc.240 <- squeeze(Hour(index(dDat))[which(dDatR>240)])
# - max media mobile 8h (con arrotondamento)
ave.8h <- dbqa.round(mean_window(x=as.vector(Dat),k=8,necess=6),id.param=7)
max.ave.8h <- stat.period(x=ave.8h,period=day,necess=18,FUN=max)[-1]
## - no. sup. orari soglia 180 nel giorno (valori arrotondati)
nexc.180 <- sum(as.numeric(dDatR>180), na.rm=T)
## - no. sup. orari soglia 240 nel giorno (valori arrotondati)
nexc.240 <- sum(as.numeric(dDatR>240), na.rm=T)
## - no. sup. orari soglia 180 da inizio anno (valori arrotondati)
cumul.nexc.180 <- sum(as.numeric(yDatR>180), na.rm=T)
## - no. sup. orari soglia 240 da inizio anno (valori arrotondati)
cumul.nexc.240 <- sum(as.numeric(yDatR>240), na.rm=T)
## - no. sup. giorn. soglia 120 da inizio anno
cumul.nexc.120 <- sum(as.numeric(dbqa.round(max.ave.8h,id.param)>120), na.rm=T)
daily.report <- data.frame(max.day= max.day,
hour.max.day= hour.max.day,
max.ave.8h= max.ave.8h[length(max.ave.8h)],
nexc.180=nexc.180,
nexc.240=nexc.240,
cumul.nexc.180=cumul.nexc.180,
cumul.nexc.240=cumul.nexc.240,
cumul.nexc.120=cumul.nexc.120)
} else {
daily.report <- data.frame(max.day= NA,
hour.max.day= NA,
max.ave.8h= NA,
nexc.180=NA,
nexc.240=NA,
cumul.nexc.180= NA,
cumul.nexc.240= NA,
cumul.nexc.120= NA)
}
## 3) identificazione eventi
if(!is.null(Dat)){
Ev180 <- detect.event(yDatR,180)
if(is.data.frame(Ev180)) {
Time180 <- index(yDat)[Ev180$index]
Max180 <- Ev180$max
events.180 <- data.frame(start.time=Time180,
duration=Ev180$duration,
max=Max180)
## tiene solo gli eventi che finiscono l'ultimo giorno
end.time <- Time180 + Ev180$duration*60*60
last.day <- dday[1]
events.180 <- events.180[Ymd(end.time)==last.day,]
} else {
events.180 <- NULL
}
Ev240 <- detect.event(yDatR,240)
if(is.data.frame(Ev240)) {
Time240 <- index(yDat)[Ev240$index]
Max240 <- Ev240$max
events.240 <- data.frame(start.time=Time240,
duration=Ev240$duration,
max=Max240)
## tiene solo gli eventi che finiscono l'ultimo giorno
end.time <- Time240 + Ev240$duration*60*60
last.day <- dday[1]
events.240 <- events.240[Ymd(end.time)==last.day,]
} else {
events.240 <- NULL
}
events <- list(exc.180=events.180,
exc.240=events.240)
} else {
events <- NULL
}
Out <- list(daily.report=daily.report,
events=events,
id.staz=data$id.staz,
first.time.year=yTime[1],
last.time=dTime[24]+3600,
first.time.day=dTime[1])
return(Out)
}
write.ozone_daily_report <- function(con,
ODR,
empty=F,
verbose=F,
...) {
## svuota tabella se richiesto
if(empty){
dbGetQuery(con, 'truncate table WEB_BOLLETTINO_OZONO')
}
id.param = 7 # Ozono
## elimina record del GIORNO-CONFIG_STAZ-PARAMETRO
dbqa.delete(con=con, tab="WEB_BOLLETTINO_OZONO",
keys=c("to_char(GIORNO,'YYYY-MM-DD')",
"ID_CONFIG_STAZ",
"ID_PARAMETRO"),
values=c(paste("'",format(ODR$first.time.day,"%Y-%m-%d"),"'",sep=""),
ODR$id.staz,
id.param),
verbose=verbose)
dbCommit(con)
date4db <- function(x) {format(x,format="%Y-%m-%d %H:%M")}
prov <- unlist(dbGetQuery(con,
paste("select COD_PRV from AA_ARIA.T$01$CONFIG_STAZIONI",
"where ID_CONFIG_STAZ=",ODR$id.staz)))
## inserisce elaborazioni giornaliere floating
## e se sono <LOD mette "<" in SEGNO e il LOD in V_ELAB_C
lod <- dbqa.lod(con = con, id.param = id.param, days = ODR$first.time.day)
dbqa.insert(con=con, tab="WEB_BOLLETTINO_OZONO",
values=data.frame(GIORNO =date4db(ODR$first.time.day),
ID_CONFIG_STAZ =ODR$id.staz,
COD_PRV =prov,
ID_PARAMETRO =id.param,
ID_ELABORAZIONE=c(3,88), #max med 8h, max day
ID_EVENTO =0,
V_ELAB_F =c(ODR$daily.report$max.ave.8h,
ODR$daily.report$max.day),
TS1_V1_ELAB =c(date4db(ODR$first.time.day),
date4db(ODR$first.time.day+
3600*ODR$daily.report$hour.max.day)),
TS2_V1_ELAB =c(date4db(ODR$last.time),
date4db(ODR$first.time.day+
3600*ODR$daily.report$hour.max.day+
60*60)),
TS_INS =date4db(Sys.time()),
FLG_ELAB =1,
V_ELAB_C =ifelse(test = c(ODR$daily.report$max.ave.8h,
ODR$daily.report$max.day) < lod,
yes = as.character(lod),
no = ""),
SEGNO =ifelse(test = c(ODR$daily.report$max.ave.8h,
ODR$daily.report$max.day) < lod,
yes = "<",
no = ""),
row.names = NULL),
to_date=c(1,8,9,10),
verbose=verbose,
...)
## inserisce elaborazioni giornaliere integer
dbqa.insert(con=con, tab="WEB_BOLLETTINO_OZONO",
values=data.frame(GIORNO =date4db(ODR$first.time.day),
ID_CONFIG_STAZ =ODR$id.staz,
COD_PRV =prov,
ID_PARAMETRO =id.param,
ID_ELABORAZIONE=c(84,87), #n.ore sup.180,240
ID_EVENTO =0,
V_ELAB_I =c(ODR$daily.report$nexc.180,
ODR$daily.report$nexc.240),
TS1_V1_ELAB =date4db(ODR$first.time.day),
TS2_V1_ELAB =date4db(ODR$last.time),
TS_INS =date4db(Sys.time()),
FLG_ELAB =1,
row.names = NULL),
to_date=c(1,8,9,10),
verbose=verbose,
...)
## inserisce elaborazioni cumulate da inizio anno integer
dbqa.insert(con=con, tab="WEB_BOLLETTINO_OZONO",
values=data.frame(GIORNO =date4db(ODR$first.time.day),
ID_CONFIG_STAZ =ODR$id.staz,
COD_PRV =prov,
ID_PARAMETRO =id.param,
ID_ELABORAZIONE=c(82,85,89), #n.ore sup.120,180,240
ID_EVENTO =0,
V_ELAB_I =c(ODR$daily.report$cumul.nexc.120,
ODR$daily.report$cumul.nexc.180,
ODR$daily.report$cumul.nexc.240),
TS1_V1_ELAB =date4db(ODR$first.time.year),
TS2_V1_ELAB =date4db(ODR$last.time),
TS_INS =date4db(Sys.time()),
FLG_ELAB =1,
row.names = NULL),
to_date=c(1,8,9,10),
verbose=verbose,
...)
## inserisce elaborazioni di evento floating
if(!is.null(unlist(ODR$events))){
nev180 <- ifelse(is.data.frame(ODR$events$exc.180),
nrow(ODR$events$exc.180),
length(ODR$events$exc.180))
nev240 <- ifelse(is.data.frame(ODR$events$exc.240),
nrow(ODR$events$exc.240),
length(ODR$events$exc.240))
if(nev180>0){
dbqa.insert(con=con, tab="WEB_BOLLETTINO_OZONO",
values=data.frame(GIORNO =date4db(ODR$first.time.day),
ID_CONFIG_STAZ =ODR$id.staz,
COD_PRV =prov,
ID_PARAMETRO =id.param,
ID_ELABORAZIONE=rep(83,nev180), #conc.max evento 180
ID_EVENTO =0:(nev180-1),
V_ELAB_F =ODR$events$exc.180$max,
TS1_V1_ELAB =date4db(ODR$events$exc.180$start.time),
TS2_V1_ELAB =date4db(ODR$events$exc.180$start.time+
3600*ODR$events$exc.180$duration),
TS_INS =date4db(Sys.time()),
FLG_ELAB =1,
row.names = NULL),
to_date=c(1,8,9,10),
verbose=verbose,
...)
}
if(nev240>0){
dbqa.insert(con=con, tab="WEB_BOLLETTINO_OZONO",
values=data.frame(GIORNO =date4db(ODR$first.time.day),
ID_CONFIG_STAZ =ODR$id.staz,
COD_PRV =prov,
ID_PARAMETRO =id.param,
ID_ELABORAZIONE=rep(86,nev240), #conc.max evento 240
ID_EVENTO =0:(nev240-1),
V_ELAB_F =ODR$events$exc.240$max,
TS1_V1_ELAB =date4db(ODR$events$exc.240$start.time),
TS2_V1_ELAB =date4db(ODR$events$exc.240$start.time+
3600*ODR$events$exc.240$duration),
TS_INS =date4db(Sys.time()),
FLG_ELAB =1,
row.names = NULL),
to_date=c(1,8,9,10),
verbose=verbose,
...)
}
}
}
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