Difference between revisions of "Mori/Codetest"

############### decisions.applyx takes a decision table and applies that to an assessment.
## dec is a decision data.frame that must have columns Decision, Option, Variable, Cell, Change, Result. It can have several variables.
decisions.applyx <- function(dec, assessment = NULL) {
	out <- as.list(unique(dec$Variable))
	names(out) <- as.character(unique(dec$Variable))

	for(variables in unique(dec$Variable)) { # Take one variable at a time.
		dec.var <- dec[dec$Variable == variables, ] # dec.var = variable-specific decisions
		scenarios <- data.frame(temp = 1)

		for(decisions in unique(dec.var$Decision)) { # Add BAU option to each decision and merge decisions.
			temp <- as.character(dec.var[dec.var$Decision == decisions, "Option"])
			temp <- data.frame(Options = c(temp, "BAU"))
			colnames(temp) <- decisions
			scenarios <- merge(scenarios, temp)
		}

		if(!is.null(assessment)) {
			var <- assessment@vars[[as.character(dec.var$Variable[1])]]
		} else {
			if(exists(as.character(dec.var$Variable[1]))) 
				{var <- get(as.character(dec.var$Variable[1]))
			} else {
				stop()
			}
		}
		var <- merge(scenarios[colnames(scenarios) != "temp"], var)

		for(s in 1:nrow(dec.var)) { # Each row in decision handled separately
			cell <- gsub("^[ \t]+|[ \t]+$", "", as.character(dec$Cell[s])) # Leading and trailing whitespaces removed.
			cell <- gsub(":[ \t]+", ":", cell) # Whitespaces removed after :
			cell <- gsub(";[ \t]+", ";", cell) # Whitespaces removed after ;
			cell <- gsub("[ \t]+:", ":", cell) # Whitespaces removed before :
			cell <- gsub("[ \t]+;", ";", cell) # Whitespaces removed before ;
			cell <- strsplit(cell, split = ";") # Separate cell identifiers (indices and locations)
			cell <- strsplit(cell[[1]], split = ":")
			cond <- as.character(dec.var$Decision[s])
			cond <- var[, cond] == as.character(dec.var$Option[s]) # Only the rows with the relevant option.
			for(r in 1:length(cell)) { # All Cell conditions extracted and combined with AND.
				cond <- cond * (var[, cell[[r]][1]] == cell[[r]][2])
			}
			cond <- as.logical(cond)
			if(dec.var$Change[s] == "Replace" ) {var[cond, "Result"] <- dec.var$Result[s]}
			if(dec.var$Change[s] == "Add"     ) {var[cond, "Result"] <- dec.var$Result[s] + var[cond, "Result"]}
			if(dec.var$Change[s] == "Multiply") {var[cond, "Result"] <- dec.var$Result[s] * var[cond, "Result"]}
		}

		out[[variables]] <- var
		}
	return(out)
}

library(xtable)
library(OpasnetUtils)
var1 <- data.frame(c = c("A", "A", "C"), d = c("D", "E", "E"), Result = 4:6)
var2 <- var1
dec <- data.frame(Decision = rep(c("Decision 1", "Decision 2"), each = 2), Option = c("OptA", "OptB"), Variable = c("var1", "var1", "var1", "var2"), Cell = c(" c: A; d: E", " d: D"), Change = c("Replace", "Multiply"), Result = 7:10)
var1
dec
out <- decisions.apply(dec)
cat("Variable", names(out)[1], "\n")
print(xtable(out[[1]]), type = 'html')
cat("Variable", names(out)[2], "\n")
print(xtable(out[[2]]), type = 'html')

data <- tidy(op_baseGetData("opasnet_base", "Op_en5466"), direction = "wide")
data <- data[colnames(data) != "Unit"]
data
# data <- decisions.apply(data)
dec <- data
assessment = NULL
out <- as.list(unique(dec$Variable))
names(out) <- as.character(unique(dec$Variable))
for(variables in unique(dec$Variable)) { # Take one variable at a time.
		dec.var <- dec[dec$Variable == variables, ] # dec.var = variable-specific decisions
		scenarios <- data.frame(temp = 1)

		for(decisions in unique(dec.var$Decision)) { # Add BAU option to each decision and merge decisions.
			temp <- as.character(dec.var[dec.var$Decision == decisions, "Option"])
			temp <- data.frame(Options = c(temp, "BAU"))
			colnames(temp) <- decisions
			scenarios <- merge(scenarios, temp)
		}

		if(!is.null(assessment)) {
			var <- assessment@vars[[as.character(dec.var$Variable[1])]]
		} else {
			if(exists(as.character(dec.var$Variable[1]))) 
				{var <- get(as.character(dec.var$Variable[1]))
			} else {
				stop()
			}
		}
		var <- merge(scenarios[colnames(scenarios) != "temp"], var)

		for(s in 1:nrow(dec.var)) { # Each row in decision handled separately
			cell <- gsub("^[ \t]+|[ \t]+$", "", as.character(dec$Cell[s])) # Leading and trailing whitespaces removed.
			cell <- gsub(":[ \t]+", ":", cell) # Whitespaces removed after :
			cell <- gsub(";[ \t]+", ";", cell) # Whitespaces removed after ;
			cell <- gsub("[ \t]+:", ":", cell) # Whitespaces removed before :
			cell <- gsub("[ \t]+;", ";", cell) # Whitespaces removed before ;
			cell <- strsplit(cell, split = ";") # Separate cell identifiers (indices and locations)
			cell <- strsplit(cell[[1]], split = ":")
			cond <- as.character(dec.var$Decision[s])
			cond <- var[, cond] == as.character(dec.var$Option[s]) # Only the rows with the relevant option.
			for(r in 1:length(cell)) { # All Cell conditions extracted and combined with AND.
				cond <- cond * (var[, cell[[r]][1]] == cell[[r]][2])
			}
			cond <- as.logical(cond)
			if(dec.var$Change[s] == "Replace" ) {var[cond, "Result"] <- dec.var$Result[s]}
			if(dec.var$Change[s] == "Add"     ) {var[cond, "Result"] <- dec.var$Result[s] + var[cond, "Result"]}
			if(dec.var$Change[s] == "Multiply") {var[cond, "Result"] <- dec.var$Result[s] * var[cond, "Result"]}
		}

		out[[variables]] <- var
		}
	out