library(agena.ai)Setting the working directory to where we have the Models folder if needed
#setwd("/Users/user/repos/api-r")Importing an existing model from a .cmpx file
model <- from_cmpx("CarCosts.cmpx")Defining the dataSet of interest (“mercedes”), and finding the relevant dataSet object in the model
dsId <- "mercedes"
dsIndex <- which(sapply(model$dataSets, function(sds) sds$id %in% dsId))
dataSet <- model$dataSets[[dsIndex]]Assigning certain nodes in the network so that it is easier to manipulate them (such as entering new observation)
network <- model$networks[[1]]
nodeCarType <- network$nodes[[which(sapply(network$nodes, function(item) item$id %in% "car_type"))]]
nodeMilesPerYear <- network$nodes[[which(sapply(network$nodes, function(item) item$id %in% "Miles_per_year"))]]
nodeReliability <- network$nodes[[which(sapply(network$nodes, function(item) item$id %in% "Reliability"))]]
nodeTotalAnnualCost <- network$nodes[[which(sapply(network$nodes, function(item) item$id %in% "total_cost"))]]Entering new observations to the selected nodes
model$enter_observation(dsId, node=nodeCarType$id, network=network$id, value="Small")
model$enter_observation(dsId, node=nodeMilesPerYear$id, network=network$id, value=1000)
model$enter_observation(dsId, node=nodeReliability$id, network=network$id, value="Low")Calculating the model using local agena.ai developer API
local_api_calculate(model, dsId, "mercedes.json")Accessing and displaying information which now is included in the model object
dsIndex <- which(sapply(model$dataSets, function(sds) sds$id %in% dsId))
dataSet <- model$dataSets[[dsIndex]]
resIndex <- which(sapply(model$dataSets[[dsIndex]]$results, function(res) res$node %in% "total_cost"))
model$dataSets[[dsIndex]]$results[[resIndex]]$node
model$dataSets[[dsIndex]]$results[[resIndex]]$summaryStatistics$mean