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server.R
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## MLMC - My Life, My Council
## - backend server -
library(shiny);
library(digest);
library(rmarkdown);
library(leaflet);
library(sendmailR);
library(data.table, quietly=TRUE);
options(stringsAsFactors = FALSE);
core.df <- read.csv("data/Local_Authority_Financial_Statistics_Year_ended_June_2015_EXPENDITURE_TABLE.csv");
## rename last column to something a bit easier to write in code
colnames(core.df)[4] <- "opex.1000";
caveats.df <- read.csv("data/Local_Authority_Financial_Statistics_Caveats.csv");
rownames(caveats.df) <- caveats.df$Council;
type.df <- read.csv("data/Local_Authority_Financial_Statistics_Council_Type.csv");
rownames(type.df) <- type.df$Council;
core.df$Council.Type <- type.df[core.df$Council,"Council.Type"];
defs.df <- read.csv("data/Local_Authority_Financial_Statistics_Activity_Definitions.csv");
rownames(defs.df) <- defs.df$Activity;
contacts.df <- read.csv("data/NZ_Councils_Contact_List.csv");
rownames(contacts.df) <- contacts.df$Council;
values <- reactiveValues();
values$barPlotHeight <- 400;
## Retrieve region IDs from Stats NZ WFS service
## [see https://wiki.state.ma.us/confluence/display/massgis/GeoServer+-+WFS+-+Examples]
authority.regions.df <-
read.csv(paste(sep="&","https://datafinder.stats.govt.nz/services;key=0b76d98b83fa4e0dab5c295f760826b9/wfs?service=WFS",
"request=getFeature",
"outputFormat=csv",
"typeName=layer-8409",
"propertyname=TA2016_NAME,LAND_AREA_SQ_KM"), stringsAsFactors = FALSE);
typeFull <- c("Last Year" = "compare with other councils.",
"Over Time" = "see my council's spending since 2010.");
total.exp <- xtabs(opex.1000 ~ Council + Year, data=core.df);
lastYear <- max(core.df$Year);
councilNames <- type.df$Council;
dataCats <- defs.df$Activity;
logOutput <- function(input, requestID){
if(!file.exists("logs")){
return();
}
## Don't destroy the App just because logging fails
tryCatch({
timeStr <- as.character(Sys.time());
if(!file.exists("logs/accesslog.csv")){
## add file header (append=TRUE for the rare case of race conditions)
cat("requestID,time,inputCategory,value\n",
file = "logs/accesslog.csv", append=TRUE);
}
for(n in names(input)){
if(is.character(input[[n]]) || (is.numeric(input[[n]]) && (length(input[[n]]) == 1))){
cat(file = "logs/accesslog.csv",
append=TRUE, sprintf("%s,%s,\"%s\",\"%s\"\n",
requestID, timeStr, n,
substring(paste(input[[n]], collapse=";"),1,100)));
}
}
}, error=function(cond){
cat("Error:\n");
message(cond);
}, warning=function(cond){
cat("Warning:\n");
message(cond);
});
}
basicPDF <- function(input, con){
pdf(con, paper="a4r", width=11, height=8);
councilType <- type.df[input$council,"Council.Type"];
typeCount <- sum(type.df$Council.Type == councilType);
## bar plot -- expenses compared to other councils
data.sub.df <- subset(core.df, (Year == lastYear) & (Activity == input$cat) &
Council.Type == councilType);
data.sub.df$pct.exp <- signif(data.sub.df$opex.1000 /
total.exp[cbind(data.sub.df$Council,as.character(data.sub.df$Year))] * 100,2);
council.value <- subset(data.sub.df, Council == input$council)$pct.exp;
data.sub.df$order <- order(data.sub.df$pct.exp);
data.sub.df <- data.sub.df[data.sub.df$order,];
data.sub.df$col <- ifelse(c(data.sub.df$Council == input$council),"#23723F","#90DDAB");
par(mar=c(0,10,5,2));
dataMax <- max(data.sub.df$pct.exp);
res <- barplot(c(data.sub.df$pct.exp,0,council.value),
names.arg=c(data.sub.df$Council,"",input$council),
horiz=TRUE, las=2, cex.names=0.5,
col=c(data.sub.df$col,NA,"#23723F"),
border=NA, xaxt="n", main=input$cat);
text(x=c(data.sub.df$pct.exp,NA,council.value), y=res, pos=4,
labels=c(data.sub.df$pct.exp,NA,council.value), cex=0.5,
col=c(data.sub.df$col,NA,"#23723F"), xpd=TRUE);
mtext("Percent Expenditure",3,1);
mtext(sprintf("(vs other %s authorities)", tolower(councilType)),3,0.5, cex=0.5);
abline(h=head(tail(res,2),1),lty="dotted", lwd=3);
## line graph -- expenses over time
data.sub.df <- subset(core.df, (Council == input$council) & (Activity == input$cat));
data.sub.df$pct.exp <- signif(data.sub.df$opex.1000 /
total.exp[cbind(data.sub.df$Council,as.character(data.sub.df$Year))] * 100,2);
par(mar=c(5, 4, 4, 2) + 0.1); # reset mar to default
plot(data.sub.df$Year, data.sub.df$pct.exp,
ylab=sprintf("Percent Expenditure"), main=input$cat,
xlab="Year", type="b", lwd=2, col="darkgreen");
mtext(input$council, 3, 0.5, cex=0.75);
dummy <- dev.off();
}
shinyServer(function(input, output, session) {
requestID <- substr(digest(Sys.time()),1,8);
output$viewTopBlurb <- renderUI({
list("My council is ",tags$b(input$council),
", I'm interested in ", tags$b(input$cat),
"and I want to ", tags$b(typeFull[input$dataType]));
});
output$dialogMessage <- renderUI({
tags$div(style="color: red", values$dialogMessage);
});
output$plotHeading <- renderUI({
councilType <- type.df[input$council,"Council.Type"];
fluidRow(
column(3,NULL),
column(9,tags$h3(sprintf("Percent Expenditure (vs other %s authorities)",
tolower(councilType)), style="margin-bottom:-25px")));
});
output$dataCaveats <- renderUI({
if(input$council %in% rownames(caveats.df)){
fluidRow(column(9,tags$b("Note:"), caveats.df[input$council,"Caveats"]));
}
});
output$contactDetails <- renderUI({
fluidPage(
fluidRow(column(2,tags$b("Authority:")), column(5,input$council)),
fluidRow(column(2,tags$b("Phone:")), column(5,contacts.df[input$council,"Phone"])),
fluidRow(column(2,tags$b("Address:")), column(5,contacts.df[input$council,"Post"])),
fluidRow(column(2,tags$b("Email:")),
column(5,tags$a(href=sprintf("mailto:%s",contacts.df[input$council,"Email"]),
contacts.df[input$council,"Email"]))),
fluidRow(column(2,tags$b("Website:")),
column(5,tags$a(href=sprintf("http://%s",contacts.df[input$council,"URL"]),
contacts.df[input$council,"URL"])))
);
});
output$viewDataDesc <- renderUI({
list(tags$p(input$council, " is a ", tags$b(type.df[input$council,"Council.Type"]),
"Authority."),
tags$p(tags$b(input$cat)," ",
defs.df[input$cat,"Basic.definition."],
tags$p("See ",tags$a(href="http://www.localcouncils.govt.nz/lgip.nsf/wpg_url/About-Local-Government-Index","Internal Affairs"),
" and ",tags$a(href="http://datainfoplus.stats.govt.nz/Item/nz.govt.stats/319be03d-287d-4384-993a-d38ef9acb3e6#/nz.govt.stats/6b459c66-0e05-4aa7-997e-d4a5e40941dd","Statistics New Zealand"),
" for more information.")));
});
output$yearPlot <- renderPlot({
data.largesub.df <- subset(core.df, (Council == input$council));
data.largesub.df$pct.exp <- signif(data.largesub.df$opex.1000 /
total.exp[cbind(data.largesub.df$Council,as.character(data.largesub.df$Year))] * 100,2);
dataMax <- max(data.largesub.df$pct.exp);
yearRange <- range(data.largesub.df$Year);
plot(NA, ylim=c(0,dataMax), xlim = yearRange,
ylab=sprintf("Percent Expenditure"), xlab="Year");
for(act in unique(data.largesub.df$Activity)){
data.sub.df <- subset(data.largesub.df, (Activity == act));
if(act != input$cat){
points(data.sub.df$Year, data.sub.df$pct.exp,
type="l", lwd=2, col="lightgrey");
}
}
data.sub.df <- subset(data.largesub.df, (Activity == input$cat));
points(data.sub.df$Year, data.sub.df$pct.exp,
type="b", lwd=3, col="darkgreen");
});
output$plotScaleBar <- renderPlot({
councilType <- type.df[input$council,"Council.Type"];
data.sub.df <- subset(core.df, (Year == lastYear) & (Activity == input$cat) &
Council.Type == councilType);
data.sub.df$pct.exp <- signif(data.sub.df$opex.1000 /
total.exp[cbind(data.sub.df$Council,as.character(data.sub.df$Year))] * 100,2);
dataMax <- max(data.sub.df$pct.exp);
if(dev.size("px")[1] > 600){
par(mar = c(0,20,4,2));
} else {
par(mar = c(0,8,4,2));
}
res <- barplot(NA, horiz=TRUE, las=2, xlim=c(0,dataMax*1.1), yaxs="i", xaxt="n");
axis(3);
});
output$dynamicCompPlot <-
renderUI(tags$div(style=sprintf("height: %dpx; width: 100%%; overflow: auto;",
min(values$barPlotHeight,250)),
plotOutput("comparisonPlot", width="100%",
height=sprintf("%dpx",values$barPlotHeight))));
output$comparisonPlot <- renderPlot({
councilType <- type.df[input$council,"Council.Type"];
typeCount <- sum(type.df$Council.Type == councilType);
data.sub.df <- subset(core.df, (Year == lastYear) & (Activity == input$cat) &
Council.Type == councilType);
data.sub.df$pct.exp <- signif(data.sub.df$opex.1000 /
total.exp[cbind(data.sub.df$Council,as.character(data.sub.df$Year))] * 100,2);
council.value <- subset(data.sub.df, Council == input$council)$pct.exp;
data.sub.df$order <-
if(input$sortBy == "descending") {
order(data.sub.df$pct.exp);
} else if(input$sortBy == "ascending"){
order(-data.sub.df$pct.exp);
} else if(input$sortBy == "alpha"){
order(-xtfrm(data.sub.df$Council));
}
data.sub.df <- data.sub.df[data.sub.df$order,];
data.sub.df$col <- ifelse(c(data.sub.df$Council == input$council),"#23723F","#90DDAB");
councilLabels <- c(data.sub.df$Council,"",input$council);
if(dev.size("px")[1] > 600){
par(mar = c(0,20,0,2));
} else {
par(mar = c(0,8,0,2), cex.axis=0.6);
councilLabels <- sub(" District$","", sub(" Council$","",councilLabels));
}
dataMax <- max(data.sub.df$pct.exp);
res <- barplot(c(data.sub.df$pct.exp,0,council.value),
names.arg=councilLabels,
horiz=TRUE, las=2, yaxs="i",
col=c(data.sub.df$col,NA,"#23723F"),
border=NA, xaxt="n");
abline(h=head(tail(res,2),1),lty="dotted", lwd=3);
text(x=c(data.sub.df$pct.exp,NA,council.value), y=res, pos=4,
labels=c(data.sub.df$pct.exp,NA,council.value), cex=0.8,
col=c(data.sub.df$col,NA,"#23723F"), xpd=TRUE);
mtext(sprintf("Percent Expenditure (vs other %s authorities)", tolower(councilType)),
3, line = 3, cex=2);
});
output$makePDF <- downloadHandler(
filename = function(){
gsub(" ","_",sprintf("%s_%s_%s_%s.pdf",input$council,input$cat,
input$dataType,format(Sys.Date(),"%Y-%b-%d")));
},
content = function(con){
#basicPDF(input, con);
cat("Making PDF\n");
isolate({rmarkdown::render("MLMC.Rmd", "pdf_document", output_file = con,
intermediates_dir = "tmp")});
},
contentType = "text/pdf"
);
output$nzMap <- renderLeaflet({
values$baseMap <- leaflet() %>%
addTiles() %>% # Add default OpenStreetMap map tiles
fitBounds(lng1=165.973643765, lng2=175.37904683,
lat1=-47.724045517, lat2=-33.9584981); # set to range of Territorial Authorities
});
## Populate address finder
## Observers to detect button changes and switch tabs
## view button
observeEvent(input$viewButton,{
if((input$council != "") && (input$council %in% councilNames)){ # council must be selected in order to view
updateTabsetPanel(session, "tabPanel", selected = "view");
## record the data request in a log file
logOutput(input, requestID = requestID);
}
});
## select / back button and logo
observeEvent(input$backButton+input$logoLink,{
updateTabsetPanel(session, "tabPanel", selected = "select");
});
## "comment button"
observeEvent(input$feedbackButton,{
if(input$councilFeedback == ""){
values$dialogMessage <- "Nothing to submit. Did you mean to write a comment?";
} else if (!grepl("@",contacts.df[input$council,"Email"])){
values$dialogMessage <- paste0("Sorry, your council has no registered email address, and the ",
"MLMC team haven't yet linked into your council's feedback form.");
} else {
councilEmail <- contacts.df[input$council,"Email"];
sendmail("\"My Life, My Council\" <[email protected]>",
to=paste0("\"",input$council,"\" <",councilEmail,">"),
subject=paste0(input$council," Feedback [MLMC]"),
cc="[email protected]",
msg=paste0(input$councilFeedback,"\n\n------\n",
"This message was generated using the comment submission form\n",
"from 'My Life, My Council' [http://mlmc.gringene.org].\n",
"Email <[email protected]> for more information"));
values$dialogMessage <- paste0("Thanks for your feedback. An email containing your message ",
"has been sent to your council, ",
input$council," <",councilEmail,">.");
## record the feedback attempt in a log file
logOutput(input, requestID = requestID);
}
});
## address searching
searchAddress <- function(addressText){
streetPrefix <- toupper(substr(gsub(" ","",sub("^[^0-9]*[0-9]+[^0-9]*? ","",addressText)),1,5));
if(nchar(streetPrefix) < 5){
return();
}
streetNumber <- ifelse(grepl("[0-9]",addressText), as.numeric(sub("^.*?([0-9]+).*$","\\1",addressText)), NA);
addr.res <- system2("tabix", stdout=TRUE,
args=c("data/sorted_nz-street-address-beta-NLonly.csv.gz",
ifelse(is.na(streetNumber),streetPrefix,sprintf("%s:%d-%d",streetPrefix, streetNumber,(streetNumber+1)))));
if((length(addr.res) == 0) || (nchar(addr.res) == 0)){
addressText <- sub("-- (Council )?not found","",addressText);
updateSelectizeInput(session, "council", server=TRUE, choices = c(sprintf("%s -- not found", addressText),councilNames),
selected=ifelse(nrow(values$addr)==1,values$addr$fullAddress,""));
return();
}
addr.df <- unique(data.frame(tstrsplit(sub("^.*\t","",addr.res),";", type.convert = TRUE), stringsAsFactors = FALSE));
colnames(addr.df) <- c("fullAddress","long","lat");
## filter on actual query
addr.df <- addr.df[grepl(addressText, addr.df$fullAddress, ignore.case=TRUE),];
## filter out duplicate addresses (e.g. 299 Waitao Road)
matchRows <- match(unique(addr.df$fullAddress),addr.df$fullAddress);
addr.df <- addr.df[match(unique(addr.df$fullAddress),addr.df$fullAddress),];
rownames(addr.df) <- addr.df$fullAddress;
values$addr <- addr.df;
updateSelectizeInput(session, "council", server=TRUE, choices = c(values$addr$fullAddress,councilNames),
selected=ifelse(nrow(values$addr)==1,values$addr$fullAddress,""));
}
## Change bar plot height on council type change
## Change displayed region on council type change
observeEvent(input$council,{
if(!(input$council %in% councilNames)){
if((is.null(values$addr)) || (!input$council %in% values$addr$fullAddress)){
searchAddress(input$council);
return();
}
## address seems valid...
fullAddr <- input$council;
lat <- values$addr[fullAddr, "lat"];
long <- values$addr[fullAddr, "long"];
leafletProxy("nzMap") %>% clearMarkers() %>%
addMarkers(long,lat,popup=fullAddr) %>%
setView(long, lat, zoom=10);
if(long > 180){ # fix for Chatham Islands
long = long-360;
};
## identify intersecting territorial authority
req <- paste(sep="&","https://datafinder.stats.govt.nz/services;key=0b76d98b83fa4e0dab5c295f760826b9/wfs?service=WFS",
"request=getFeature",
"typeNames=layer-8409",
"outputFormat=csv",
"count=5",
URLencode(sprintf("CQL_FILTER=CONTAINS(GEOMETRY, POINT(%f %f))", lat, long)),
"propertyname=TA2016_NAME");
council.df <- read.csv(req, stringsAsFactors = FALSE);
if(nrow(council.df) == 0){
addressText <- sub("-- Council not found","",isolate(input$council));
updateSelectizeInput(session, "council", server=TRUE, choices = c(sprintf("%s -- Council not found", addressText),councilNames),
selected=ifelse(nrow(values$addr)==1,values$addr$fullAddress,""));
return();
}
council.df$TAName <- paste0(council.df$TA2016_NAME," Council");
if(council.df$TAName %in% rownames(type.df)){
updateSelectizeInput(session, "council", server=TRUE, choices = councilNames, selected=council.df$TAName, label=NULL);
} else {
council.df$TAName <- paste0(sub(" Territory$"," Council",council.df$TA2016_NAME));
if(council.df$TAName %in% rownames(type.df)){
updateSelectizeInput(session, "council", server=TRUE, choices = councilNames, selected=council.df$TAName, label=NULL);
}
}
} else {
values$typeCount <- sum(type.df$Council.Type == type.df[input$council,"Council.Type"]);
values$barPlotHeight <- values$typeCount * 25;
region.id <- authority.regions.df$FID[match(sub(" Council$","",input$council),
authority.regions.df$TA2016_NAME)];
values$councilJSON <-
scan(paste(sep="&","https://datafinder.stats.govt.nz/services;key=0b76d98b83fa4e0dab5c295f760826b9/wfs?service=WFS",
"request=getFeature",
"typeNames=layer-8409",
"outputFormat=application/json",
paste0("featureId=",region.id),
"count=1"),
sep="\n", what=character(), quiet = TRUE);
leafletProxy("nzMap") %>% clearGeoJSON() %>%
addGeoJSON(input$baseMap, geojson = values$councilJSON);
}
});
});