#!/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=1500, height=800)
par(cex=1.25)
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'",
            " AND value_string IS NOT NULL",
            " 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"))
    d <- supsmu(as.vector(d$timestamp), as.vector(d$value))
    names(d) <- c("time", "value")
    
#    myMean <- function(values) {
#      print(mad(values))
#      if (mad(values) > 1) {
#        print(paste("Streiche ",length(values),
#                    " Werte aus",sensorName,
#                    "mad =", mad(values)))
#        values <- values * NA
#      }
#      mean(values)
#    }
#
#    dm <- aggregate(d$value, list(time=d$time), myMean)
    dm <- d
    dm$time <- as.POSIXct(dm$time,origin=nulltime)
    names(dm) <- c("time", sensorName)
    dm
}

warmwasser <- readNumericSensorDay("heizkreisregler9.solarDaten.tempWarmwasserSolar")
kessel <- readNumericSensorDay("heizkreisregler10.betriebsdatenRegler1.kesselTemperatur")
kollektor <- readNumericSensorDay("heizkreisregler9.solarDaten.tempKollektor")
aussenTemperatur <- readNumericSensorDay("feuerungsautomat1.betriebsdatenRegler1.aussenTemperatur")

# -- TODO ausreißer als punkte darstellen
data <- Reduce(function(x,y) { merge(x,y,all.x=TRUE) }, list(kollektor, kessel, warmwasser, aussenTemperatur))



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)


for (i in c(2:length(data))) {
  lines(subset(data,select=c(1,i)),
        col=rainbow(length(data)-1)[i-1])
}
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)
}

rangeX <- as.POSIXct(range(data$time))
s <- round.POSIXt(seq(rangeX[1], rangeX[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=names(data)[2:length(data)],
       fill=rainbow(length(data)-1))
title(paste("Temperaturen ", rangeX[1], " bis ", rangeX[2]))
dev.off()

dbDisconnect(con)