modules::import(magrittr)

reWeightLayer <- function(nestedLayerTib, fudge=1) {

  for (idx in 1:nrow(nestedLayerTib)) {
    #print(nestedLayerTib$data[idx])
    thisData <- nestedLayerTib$data[idx][[1]]

    #Calculate the overall depletion rate
    #depRate <- ifelse(thisData$values<0, -thisData$values, 0)
    #Re-adjust those weightings in line with the number applied
    survived <- 1
    grown <- 1
    for (depIdx in 1:nrow(thisData)) {
      if (thisData$values[depIdx]<0) survived <- survived * (1 + thisData$values[depIdx]) else
        grown <- (1-thisData$values[depIdx]) * grown
    }
    #Update the edge weightings to reflect the combined depletion on the BA from each of the edges

    effDepRate <- survived - 1
    effGrowthRate <- 1-grown
    #print(effDepRate)
    if (sum(thisData$values)==0) newValues <- rep(0, length(thisData$values)) else
    newValues <- round(thisData$values/sum(thisData$values)*(effDepRate+effGrowthRate), digits=3)
    #print(paste(idx, paste(newValues, collapse=",")))
    nestedLayerTib$data[idx][[1]]$values <- newValues / fudge
  }

  return(nestedLayerTib %>% tidyr::unnest(cols=c(data)))
}

assignWeights <- function(
  edgesTib,
  incode,
  outcode,
  value) {
  for (idx in 1:length(incode)) {
    ref <- intersect(which(edgesTib$input == incode[idx]),
                     which(edgesTib$output == outcode[idx]))

    utils::str(ref)

    if (length(ref)>1) stop("Error has occurred with multiple edges between two nodes")
    print(paste(ref, edgesTib$values[ref], value[idx]))
    edgesTib$values[ref] <- value[idx]
    #Set the appropriate values

  }
  return(edgesTib)
}

reWeightModel <- function(thisNet, pressStatus) {

  print("About to recalc p - ba")

  #what is the depletion factor for each of the pressures applied to the BA?
  p_on <- pressStatus %>%
    dplyr::filter(status=="On") %>%
    dplyr::left_join(thisNet$nodes, by=c("code"="code")) %>%
    dplyr::left_join(thisNet$edges, by=c("code"="input")) %>%
    dplyr::mutate(values=values * 0.9)

  print("before")
  print(sum(p_on$values))

  p_on <- p_on %>%
    dplyr::rename(presscode=code) %>%
    dplyr::rename(ba_code=output) %>%
    dplyr::select(presscode, layer, ba_code,  values) %>%
    tidyr::nest(data=c(presscode, values))

  newP <- reWeightLayer(p_on, fudge=1)



  print("About to recalc ba - op")

  #Repeat for the linkage between ba and op
  bas <- unique(newP$ba_code)
  ba_impacted <- thisNet$nodes %>%
    dplyr::filter(code %in% bas) %>%
    dplyr::left_join(thisNet$edges, by=c("code"="input")) %>%
    tidyr::drop_na() %>%
    dplyr::rename(ba_code=code) %>%
    dplyr::select(layer, output, ba_code,  values) %>%
    dplyr::rename(op_code=output) %>%
    tidyr::nest(data=c(ba_code, values))

  newBA <- reWeightLayer(ba_impacted, fudge=4)

  print("About to recalc op - es")

  #Repeat for the linkage between op and es
  ops <- unique(newBA$op_code)
  op_impacted <- thisNet$nodes %>%
    dplyr::filter(code %in% ops) %>%
    dplyr::left_join(thisNet$edges, by=c("code"="input")) %>%
    dplyr::rename(op_code=code) %>%
    tidyr::drop_na() %>%
    dplyr::select(layer, output, op_code,  values) %>%
    dplyr::rename(es_code=output) %>%
    tidyr::nest(data=c(op_code, values))

  newOP <- reWeightLayer(op_impacted, fudge=4)

  #Check for any more links through the system
  print("About to recalc es - es")


  ess <- unique(newOP$es_code)
  es_impacted <- thisNet$nodes %>%
    dplyr::filter(code %in% ess) %>%
    dplyr::left_join(thisNet$edges, by=c("code"="input")) %>%
    dplyr::rename(es_code=code) %>%
    tidyr::drop_na() %>%
    dplyr::select(layer, output, es_code,  values) %>%
    dplyr::rename(lo_code=output) %>%
    tidyr::nest(data=c(lo_code, values))

  newES <- reWeightLayer(es_impacted, fudge=2)

  incode <- c(newP$presscode, newBA$ba_code, newOP$op_code, newES$es_code)
  outcode <- c(newP$ba_code, newBA$op_code, newOP$es_code, newES$lo_code)
  value <- c(newP$values, newBA$values, newOP$values, newES$values)

  thisNet$edges <- assignWeights(thisNet$edges, incode, outcode, value)

  print("exitting reweighting process")

  return(thisNet)

}