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suppressMessages(library(rJava))
suppressMessages(library(RJDBC))
suppressMessages(library(DBI))
suppressMessages(library(lubridate))
suppressMessages(library(tidyverse))
suppressMessages(library(knitr))


# Create connection driver and open connection
jdbcDriver <- JDBC(driverClass="oracle.jdbc.OracleDriver", 
                   classPath="C:/Users/gbbuck/Documents/ojdbc8.jar")


if(dbCanConnect(jdbcDriver,"jdbc:oracle:thin:@//10.209.2.103:1521/dfgmarinerp.us1.ocm.s7134325.oraclecloudatcustomer.com",
                "mariner", "reniraM2012")){
  jdbcConnection <- dbConnect(jdbcDriver,
                              "jdbc:oracle:thin:@//10.209.2.103:1521/dfgmarinerp.us1.ocm.s7134325.oraclecloudatcustomer.com",
                              "mariner", "reniraM2012")
}else{
  jdbcConnection <- dbConnect(jdbcDriver,
                              "jdbc:oracle:thin:@//10.209.2.104:1521/dfgmarinerp.us1.ocm.s7134325.oraclecloudatcustomer.com",
                              "mariner", "reniraM2012")
}

tmp1 <- dbGetQuery(jdbcConnection,"SELECT * FROM PMARINR.BBAY_ESCAPEMENT_ARCH")
tmp2 <- dbGetQuery(jdbcConnection,"SELECT * FROM PMARINR.BBAY_ESCAPEMENT")
tmp3 <- dbGetQuery(jdbcConnection,"SELECT * FROM PMARINR.BBAY_ESCAPEMENT_ARCH_FEB_2003")
tmp4 <- dbGetQuery(jdbcConnection,"SELECT * FROM PMARINR.BBAY_ESCAPEMENT_FEB_2003")

master <- list(tmp1,tmp2,tmp3,tmp4)
rm(tmp1,tmp2,tmp3,tmp4)

master.sockeye <- lapply(master, function(x) { x["SPECIES_CODE"] = "420"; x })
master.chinook <- lapply(master, function(x) { x["SPECIES_CODE"] = "410"; x })
master.chum <- lapply(master, function(x) { x["SPECIES_CODE"] = "450"; x })
rm(master)

# make sockeye summary
for(i in 1:4){
t <- as.vector(names(master.sockeye[[i]]))
if("CF_STREAM_CODE" %in% t){
  a <- match("CF_STREAM_CODE",t)
  t <- replace(t,a,"STREAM_NO")
  names(master.sockeye[[i]]) <- t
  } # end if
} # end for

master.sockeye <- lapply(master.sockeye, function(x) {
            mutate(x,
              year=year(ESCAPEMENT_DATE))
})

master.sockeye.summary <- lapply(master.sockeye, function(x) {aggregate(DAILY_CUM ~ year + STREAM_NO, data = x, sum) })
rm(master.sockeye)

# make chinook summary
for(i in 1:4){
  t <- as.vector(names(master.chinook[[i]]))
  if("CF_STREAM_CODE" %in% t){
    a <- match("CF_STREAM_CODE",t)
    t <- replace(t,a,"STREAM_NO")
    names(master.chinook[[i]]) <- t
  } # end if
} # end for

master.chinook <- lapply(master.chinook, function(x) {
  mutate(x,
         year=year(ESCAPEMENT_DATE))
})

master.chinook.summary <- lapply(master.chinook, function(x) {aggregate(DAILY_CUM ~ year + STREAM_NO, data = x, sum) })
rm(master.chinook)

# make chum summary
for(i in 1:4){
  t <- as.vector(names(master.chum[[i]]))
  if("CF_STREAM_CODE" %in% t){
    a <- match("CF_STREAM_CODE",t)
    t <- replace(t,a,"STREAM_NO")
    names(master.chum[[i]]) <- t
  } # end if
} # end for
rm(a,t,i)

master.chum <- lapply(master.chum, function(x) {
  mutate(x,
         year=year(ESCAPEMENT_DATE))
})

master.chum.summary <- lapply(master.chum, function(x) {aggregate(DAILY_CUM ~ year + STREAM_NO, data = x, sum) })
rm(master.chum)

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temp <- master.sockeye.summary[[1]]
tmp <- temp %>%
  spread(STREAM_NO,DAILY_CUM) %>%
  kable(format = "html", booktabs = T)