#!/usr/bin/Rscript --vanilla
require(RPostgreSQL)
nulltime <- strptime("01.01.1970", "%d.%m.%Y")

drv <- dbDriver("PostgreSQL")
con <- dbConnect(drv, host="10.2.2.22", user="jack", password="jack", dbname="ebus")


## plot 1
png(file = "Rplots.png", width=1000, height=800)

cat("Starte Abfragen\n")
brenner <- dbGetQuery(con,
    paste("SELECT timestamp as \"time\"
                , value_string
             FROM value
            WHERE sensor_id IN (select id from sensor where name = 'heizkreisregler1.betriebsdatenFeuerungsautomat.betriebszustand')
              AND timestamp > now() - interval '1 day'",
            " ORDER BY  timestamp asc", sep=""))

## Brennerstatus auf Brennerstaotusänderungen reduzieren

brennerBla <- table(NULL,NULL)
liste <- c()
old_value_string <- "bla"
for (i in seq(1,nrow(brenner))) {
    if (brenner$value_string[i] != old_value_string) {
        old_value_string <- brenner$value_string[i]
        brennerBla <- rbind(brennerBla, data.frame(time=brenner$time[i], value_string=brenner$value_string[i]))
    }
}
brenner <- brennerBla

readNumericSensorDay <- function (sensorName) {
    d <- dbGetQuery(con,
        paste("SELECT timestamp,COALESCE(value_int,value_float) \"value\"",
              "  FROM value",
              " WHERE sensor_id IN (select id from sensor where name = '",sensorName,"')",
              "   AND timestamp > now() - interval '1 day'",
              " ORDER BY timestamp desc", sep=""))
    d$timestamp <- as.POSIXct(round(d$timestamp, "mins"))
    dm <- aggregate(d$value, list(timestamp=d$timestamp), mean)
    names(dm) <- c("time", sensorName)
    dm
}

## multi arg version of merge()
mymerge <- function (a,...,all.x=TRUE) {
  if ( length(list(...)) > 1) {
    merge(a,merge(...,all.x=all.x),all.x=all.x)
  } else {
    merge(a,list(...)[1],all.x=all.x)
  }
}

warmwasser <- readNumericSensorDay("heizkreisregler9.solarDaten.tempWarmwasserSolar")

kessel <- readNumericSensorDay("heizkreisregler10.betriebsdatenRegler1.kesselTemperatur")

kollektor <- readNumericSensorDay("heizkreisregler9.solarDaten.tempKollektor")
names_kollektor <- names(kollektor)
kollektor <- supsmu(kollektor$time,kollektor$heizkreisregler9.solarDaten.tempKollektor)
names(kollektor) <- names_kollektor

aussenTemperatur <- readNumericSensorDay("feuerungsautomat1.betriebsdatenRegler1.aussenTemperatur")
# -- TODO ausreißer als punkte darstellen
data <- mymerge(kollektor, kessel, warmwasser)

cat("Plotte\n")
plot.new()
plot.window(xlim=c(min(data$time), max(data$time)),
            ylim=c(min(data[2:length(data)],na.rm=TRUE)*0.9, max(data[2:length(data)],na.rm=TRUE)*1.1))
par(lwd=2)


lines(data$time, data$heizkreisregler10.betriebsdatenRegler1.kesselTemperatur, col="red")
lines(data$time, data$heizkreisregler9.solarDaten.tempWarmwasserSolar, col="orange")
lines(data$time, data$heizkreisregler9.solarDaten.tempKollektor, col="blue")
lines(aussenTemperatur$time, aussenTemperatur$heizkreisregler1.datumZeit.aussenTemperatur, col="green")
box()

for (i in c(1:nrow(brenner))) {
  text(as.numeric(brenner$time[i]), max(data[2:length(data)],na.rm=TRUE)/2, paste("ab hier", brenner$value_string[i]) ,srt=90)
}

r <- as.POSIXct(range(data$time))
s <- round.POSIXt(seq(r[1], r[2], by=60*60),"hour")
axis.POSIXct(1, at=s, format="%H:%M")

r <- range(data[2:length(data)], na.rm=TRUE)
s <- seq(r[1], r[2], by=(r[2]-r[1])/8)
axis(2, at=s, labels=paste(round(s,1),"°C"))
legend('topleft', legend=c('Kessel', 'Warmwasser', 'Kollektor'), fill=c('red', 'orange', 'blue'))
title("Temperaturen")
dev.off()

dbDisconnect(con)