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server.R
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library(shiny)
library(memoise)
library(ggplot2)
library(SPARQL)
library(digest)
library(gridSVG)
urlProtocol <- ''
urlHostname <- ''
urlPathname <- ''
source("config.R", local=TRUE)
source("resourceLabels.R", local=TRUE)
source("common.R", local=TRUE)
source("lib/sparql.R", local=TRUE)
source("lib/regression/sparql.R", local=TRUE)
source("lib/regression/analysis.R", local=TRUE)
source("lib/timeseries/sparql.R", local=TRUE)
source("lib/timeseries/analysis.R", local=TRUE)
#sQCA <- memoise(sparqlQueryCheckAnalysis)
sQRegression <- memoise(sparqlQueryRegression)
sURegression <- memoise(sparqlUpdateRegression)
#sQGADRegression <- memoise(sparqlQueryGetAnalysisDataRegression)
sQGASRegression <- memoise(sparqlQueryGetAnalysisSummaryRegression)
sQTimeSeries <- memoise(sparqlQueryTimeSeries)
sUTimeSeries <- memoise(sparqlUpdateTimeSeries)
#sQGADTimeSeries <- memoise(sparqlQueryGetAnalysisDataTimeSeries)
sQGASTimeSeries <- memoise(sparqlQueryGetAnalysisSummaryTimeSeries)
shinyServer(function(input, output, session) {
getURLQueryString <- function() { parseQueryString(session$clientData$url_search) }
urlProtocol <<- function() { c(p = session$clientData$url_protocol) }
urlHostname <<- function() { c(p = session$clientData$url_hostname) }
urlPathname <<- function() { c(p = session$clientData$url_pathname) }
paths <- function() { unlist(strsplit(urlPathname(), "/|.html")) }
getData <- reactive({
analysisURI <- paste0(urlProtocol(), "//", urlHostname(), strsplit(c(s = urlPathname()), ".html"))
paths <- paths()
if(length(paths) == 2) {
return(NULL)
}
switch(paste0("case", length(paths)),
#Regression Analysis
case5={
s <- strsplit(c(s = paths[3]), ":")
datasetX <- paste0(namespaces[s$s[1]], s$s[2])
s <- strsplit(c(s = paths[4]), ":")
datasetY <- paste0(namespaces[s$s[1]], s$s[2])
s <- strsplit(c(s = paths[5]), ":")
refPeriod <- paste0(namespaces[s$s[1]], s$s[2])
analysisParams = paste0(datasetX, datasetY, refPeriod)
analysisSummary <- sQGASRegression(analysisURI)
},
#Time Series
case4={
s <- strsplit(c(s = paths[3]), ":")
datasetX <- paste0(namespaces[s$s[1]], s$s[2])
refAreas <- paths[4]
#cat(paste0("paths: ", paths, " s: ", s, " refArea:", refArea ,"--"), file=stderr())
analysisParams = paste0(datasetX, refAreas)
analysisSummary <- sQGASTimeSeries(analysisURI)
},
#XXX: What was this for?
{
datasetX <- input$datasetX
datasetY <- input$datasetY
refPeriod <- input$refPeriod
analysisParams = paste0(datasetX, datasetY, refPeriod)
analysisSummary <- sQGASRegression(analysisURI)
}
# stop("Enter something that switches me!")
)
if (length(analysisSummary) > 0) {
#Exists in store
# analysis <- getAnalysis(datasetX, datasetY, refPeriod, data)
# data <- sQGADRegression(analysisURI)
id <- digest(analysisParams, algo="sha1", serialize=FALSE)
data <- read.csv(paste0("www/csv/", id, ".csv"), header=T)
switch(paste0("case", length(paths)),
#Regression Analysis
case5={
meta <- data.frame("correlation"=analysisSummary$correlation, "pValue"=analysisSummary$pValue, "maxAdjustedRSquared"=analysisSummary$maxAdjustedRSquared, "bestModel"=analysisSummary$bestModel, "correlationMethod"=analysisSummary$correlationMethod, "graph"=analysisSummary$graph)
analysis <- list("datasetX"=datasetX, "datasetY"=datasetY, "refPeriod"=refPeriod, "data"=data, "meta"=meta, "id"=id)
},
#Time Series
case4={
meta <- data.frame("n"=analysisSummary$n, "graph"=analysisSummary$graph)
analysis <- list("datasetX"=datasetX, "refArea"=refAreas, "data"=data, "meta"=meta, "id"=id)
},
{}
)
#print(session$sendCustomMessage)
#isolate({
# session$sendCustomMessage("progress", "foo bar baz")
#})
}
else {
#Query analysis
switch(paste0("case", length(paths)),
#Regression Analysis
case5={
data <- sQRegression(datasetX, datasetY, refPeriod)
},
#Time Series
case4={
data <- sQTimeSeries(datasetX, refAreas)
},
{}
)
#cat(paste0("data: ", data, " length(data): ", length(data)), file=stderr())
if (length(data) > 0) {
switch(paste0("case", length(paths)),
#Regression Analysis
case5={
#Build analysis
analysis <- getAnalysisRegression(datasetX, datasetY, refPeriod, data)
#Update store
storeUpdated <- sURegression(analysisURI, datasetX, datasetY, refPeriod, data, analysis)
},
#Time Series
case4={
#Build analysis
analysis <- getAnalysisTimeSeries(datasetX, refAreas, data)
#cat(paste0("meta: ", analysis$meta), file=stderr())
#Update store
storeUpdated <- sUTimeSeries(analysisURI, datasetX, refAreas, data, analysis)
},
{}
)
}
else {
analysis <- list("warning" = paste0("<p class=\"warning\">Insufficient observations to analyze. Please try a different combination.</p>"))
#<em><a href=\"", datasetX, "\">", resourceLabels[datasetX], "</a></em> and <em><a href=\"", datasetY, "\">", resourceLabels[datasetY], "</a> for reference period <a href=\"", refPeriod, "\">", resourceLabels[refPeriod], "</a></em>
}
}
return(analysis)
})
output$plot <- renderPrint({
paths <- paths()
if(length(paths) != 2) {
analysis <- getData()
switch(paste0("case", length(paths)),
#Regression Analysis
case5={
outputPlotRegression(analysis)
},
#Time Series
case4={
outputPlotTimeSeries(analysis)
},
{}
)
}
})
output$statsSummary <- renderPrint({
paths <- paths()
if(length(paths) != 2) {
analysis <- getData()
#cat(paste0(analysis), file=stderr())
switch(paste0("case", length(paths)),
#Regression Analysis
case5={
outputAnalysisSummaryRegression(analysis)
},
#Time Series
case4={
outputAnalysisSummaryTimeSeries(analysis)
},
{
}
)
}
})
})