f_mat_regi <- function(x, connection, ilevel, iYYYY, ifreq, fcperiod, sendfcserie, fcrun, todate) {
print(x)
phantom <- x[2]
iorg_level <- x[3]
region <- x[1]
sma_only = FALSE
if (x[3] == 1 ) {sma_only <- TRUE} else {sma_only <- FALSE}
print("business_grp")
print(region)
print("phantom")
print(phantom)
status_message <- 0
status_message$status <- 'Initialized'
status_message$message <- 'Initialized'
iquery <- "select to_char(a,'YYYYMM') requested_delivery_date ,b.revenue
from generate_series(to_date('201501','YYYYMM')::date, to_date($1,'YYYY-MM-DD'),'1 month') a
join revenue_vol_bw_nop b on trim(b.bw_date) = trim(to_char(a,'YYYYMM'))
where business_grp = $2 and sales_org =$3 and unit ='$' order by 1 asc "
fcaccuracy <- extTryCatch(fcstMat_region(connection , phantom, iorg_level, region, iquery, FALSE,sma_only, iYYYY, ifreq , status_message, todate))
# fcaccuracy <- extTryCatch(fcstMat_region(con , "phantom", "iorg_level", "region", iquery, FALSE,sma_only, iYYYY, ifreq , status_message, todate))
#print(x[1])
#print(fcaccuracy)
write_fcobject_todb(connection, fcaccuracy, ilevel, phantom, region, iYYYY, fcperiod, sendfcserie, fcrun,sma_only)
# print(x[1])
}
fcstMat_region <- function( connection , Phantom, org_level, region, query, intermittent, sma_only, DateMask, yrfreq, status, todate) {
df_postgres <- RPostgreSQL::dbGetQuery(connection, query, c( todate,region,Phantom))#Phantom, org_level, DateMask, region,
# df_postgres <- RPostgreSQL::dbGetQuery(con, iquery, c( "2018-06-03","El","2000"))#Phantom, org_level, DateMask, region,
print (df_postgres)
myts <- ts(df_postgres[ ,2], start = c(2015, 1), frequency = yrfreq)
# myts <- ts(df_postgres[ ,2], start = c(2015, 1), frequency = ifreq)
##return (myts)
returnobject <- fcstgetAccuracy(myts, intermittent, status, yrfreq,sma_only)
returnobject$totalvolume = sum(myts)
returnobject$ts <- myts
status$status <- "Completed"
status$message <- "Completed"
return (returnobject)
}
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