/
server.R
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server.R
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# This is the server logic for a Shiny web application.
# You can find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com
#
library(shiny)
library(plotly)
shinyServer(function(input, output, clientData, session) {
reactiveVals = reactiveValues(prjStart = NULL,
prjEnd = NULL,
prjData = NULL)
observe({
prj = input$project
reactiveVals$prjData = rawData[project == prj,]
start = reactiveVals$prjData[, min(date)]
end = reactiveVals$prjData[, max(date)]
origin = "1970-01-01"
reactiveVals$prjStart = as.Date(as.POSIXct(start, origin = origin))
reactiveVals$prjEnd = as.Date(as.POSIXct(end, origin = origin))
})
output$downloadData <- downloadHandler(
filename = function() {
"maintenance-activity-data.csv"
},
content = function(file) {
data = rawData[, .(
CommitId = commitId,
Project = project,
Contributor = authorMail,
Date = as.Date(
as.POSIXct(date, origin = "1970-01-01"),
'%m/%d/%y'
),
MaintenanceType = as.factor(
ifelse(
predictedCat == "a",
"Adaptive",
ifelse(
predictedCat == "c",
"Corrective",
"Perfective"
)
)
),
Comment = gsub("\\[PATCH \\d+/\\d+\\] ", "", comment)
)]
write.csv(data, file, row.names = FALSE)
}
)
output$reportPeriod = renderUI({
if (!isTruthy(reactiveVals$prjStart) ||
!isTruthy(reactiveVals$prjEnd)) {
return(NULL)
}
dateRangeInput(
"reportDateRange",
"Period of interest",
start = reactiveVals$prjStart,
min = reactiveVals$prjStart,
end = reactiveVals$prjEnd,
max = reactiveVals$prjEnd,
format = "dd/mm/yy",
separator = " - "
)
})
output$reportWindow = renderUI({
if (!isTruthy(input$reportDateRange) ||
!isTruthy(input$reportDateRange[1]) ||
!isTruthy(input$reportDateRange[2])) {
return(NULL)
}
start = input$reportDateRange[1]
end = input$reportDateRange[2]
step = 7
diff = difftime(end, start, units = "days")
max_floor = floor(as.numeric(diff) / step) * step
max = max_floor + step
prevValue = isolate(input$reportWindowSize)
value = if (isTruthy(prevValue) &&
prevValue <= max) {
prevValue
} else {
max(step, step * 4)
}
sliderInput(
"reportWindowSize",
"Activity bucket",
min = step * 4,
max = max,
value = value,
post = " days",
step = step,
ticks = FALSE
)
})
output$prjLink = renderUI({
tags$p("Visit ",
tags$a(href = repoInfo[project == input$project, repo], input$project),
" on GitHub.")
})
output$tabs <- renderUI({
tabsetPanel(
id = "menu",
tabPanel(
"Project Activity",
tags$div(
tags$br(),
tags$p(
"Tip: click",
tags$b("inside"),
" the bar sections to view the individual commits the comprise them."
)
),
plotlyOutput("prjTabMaintBars"),
dataTableOutput("prjTabSelectedData")
),
tabPanel(
"Contributor Activity",
tags$br(),
radioButtons(
"devKey",
"Identify contributors by:",
choices = c("Name only", "Email only", "Both")
),
uiOutput("contributor"),
tags$div(
tags$br(),
tags$span(
"Tip: click",
tags$b("inside"),
" the bar sections to view the individual commits the comprise them."
)
),
tags$br(),
plotlyOutput("devTabMaintBars"),
dataTableOutput("devTabSelectedData")
)
)
})
output$contributor = renderUI({
prjName = input$project
if (input$devKey == "Name only") {
selectInput(
"contributor",
"Contributor id:",
choices = reactiveVals$prjData[, .(name = unique(authorName))]$name,
width = "100%"
)
} else if (input$devKey == "Email only") {
selectInput(
"contributor",
"Contributor name:",
choices = reactiveVals$prjData[, .(name = unique(authorMail))]$name,
width = "100%"
)
} else {
selectInput(
"contributor",
"Contributor name:",
choices = reactiveVals$prjData[, .(name = unique(
paste(authorName, "(", authorMail, ")")
))]$name,
width = "100%"
)
}
})
output$prjTabMaintBars = renderPlotly({
if (!isTruthy(input$reportWindowSize)) {
return(NULL)
}
window = input$reportWindowSize * 24 * 60 * 60
min = as.numeric(as.POSIXct(input$reportDateRange[1]))
max = as.numeric(as.POSIXct(input$reportDateRange[2]))
bucketize = function(date) {
as.Date(as.POSIXct(min + (
floor((date - min) / window) * window
), origin = "1970-01-01"))
}
agg = reactiveVals$prjData[date >= min &
date <= max,
.(
Adaptive = sum(predictedCat == "a"),
Corrective = sum(predictedCat == "c"),
Perfective = sum(predictedCat == "p")
),
by = list(date = bucketize(date))]
plot_ly(
agg,
x = ~ date,
y = ~ Adaptive,
name = 'Adaptive',
type = 'bar',
source = "prj_subset"
) %>%
add_trace(y = ~ Perfective,
name = 'Perfective') %>%
add_trace(y = ~ Corrective,
name = 'Corrective') %>%
layout(
yaxis = list(title = 'Commits'),
barmode = 'stack',
xaxis = list(
tickvals = agg$date,
tickangle = 45,
title = "",
tickformat = "%d-%m-%Y"
),
margin = list(b = 150)
) %>%
config(displayModeBar = F)
})
output$devTabMaintBars = renderPlotly({
if (!isTruthy(input$reportWindowSize) ||
!isTruthy(input$contributor)) {
return(NULL)
}
window = input$reportWindowSize * 24 * 60 * 60
min = as.numeric(as.POSIXct(input$reportDateRange[1]))
max = as.numeric(as.POSIXct(input$reportDateRange[2]))
bucketize = function(date) {
as.Date(as.POSIXct(min + (
floor((date - min) / window) * window
), origin = "1970-01-01"))
}
if (input$devKey == "Name only") {
filteredByContributor = reactiveVals$prjData[authorName == input$contributor,]
agg = filteredByContributor[date >= min &
date <= max,
.(
Adaptive = sum(predictedCat == "a"),
Corrective = sum(predictedCat == "c"),
Perfective = sum(predictedCat == "p")
),
by = list(date = bucketize(date))]
} else if (input$devKey == "Email only") {
filteredByContributor = reactiveVals$prjData[authorMail == input$contributor,]
agg = filteredByContributor[date >= min &
date <= max,
.(
Adaptive = sum(predictedCat == "a"),
Corrective = sum(predictedCat == "c"),
Perfective = sum(predictedCat == "p")
),
by = list(date = bucketize(date))]
} else {
filteredByContributor = reactiveVals$prjData[paste(authorName, "(", authorMail, ")") == input$contributor,]
agg = filteredByContributor[date >= min &
date <= max,
.(
Adaptive = sum(predictedCat == "a"),
Corrective = sum(predictedCat == "c"),
Perfective = sum(predictedCat == "p")
),
by = list(date = bucketize(date))]
}
plot_ly(
agg,
x = ~ date,
y = ~ Adaptive,
name = 'Adaptive',
type = 'bar',
source = "dev_subset"
) %>%
add_trace(y = ~ Perfective,
name = 'Perfective') %>%
add_trace(y = ~ Corrective,
name = 'Corrective') %>%
layout(
yaxis = list(title = 'Commits'),
barmode = 'stack',
xaxis = list(
tickvals = agg$date,
tickangle = 45,
title = "",
tickformat = "%d-%m-%Y"
),
margin = list(b = 150)
) %>%
config(displayModeBar = F)
})
observeEvent(input$exploreRawData, {
output$rawDataTable = DT::renderDataTable({
rawData[, .(
CommitId = commitId,
Project = project,
Contributor = authorMail,
Date = as.Date(
as.POSIXct(date, origin = "1970-01-01"),
'%m/%d/%y'
),
MaintenanceType = as.factor(
ifelse(
predictedCat == "a",
"Adaptive",
ifelse(
predictedCat == "c",
"Corrective",
"Perfective"
)
)
),
Comment = gsub("\\[PATCH \\d+/\\d+\\] ", "", comment)
)]
},
filter = "top",
rownames = F,
options = list(
searching = TRUE,
lengthChange = FALSE,
autoWidth = FALSE
))
})
observe({
clickData <- event_data("plotly_click", source = "prj_subset")
if (length(clickData) == 0) {
return(NULL)
}
window = isolate(input$reportWindowSize) * 24 * 60 * 60
min = as.numeric(as.POSIXct(isolate(input$reportDateRange[1])))
max = as.numeric(as.POSIXct(isolate(input$reportDateRange[2])))
toBucket = function(date) {
as.Date(as.POSIXct(min + (
floor((date - min) / window) * window
), origin = "1970-01-01"))
}
chosenDate = as.Date(clickData$x)
bla = rawData[project == isolate(input$project),]
agg = bla[date >= min &
date <= max &
toBucket(date) == chosenDate,
.(
CommitId = commitId,
Contributor = authorMail,
Date = as.Date(as.POSIXct(date, origin = "1970-01-01")),
Class = ifelse(
predictedCat == "a",
"Adaptive",
ifelse(
predictedCat == "c",
"Corrective",
"Perfective"
)
),
Comment = gsub("\\[PATCH \\d+/\\d+\\] ",
"",
comment)
)]
chosenClass = ifelse(
clickData$curveNumber == 0,
"Adaptive",
ifelse(
clickData$curveNumber == 1,
"Perfective",
"Corrective"
)
)
tblData = agg[as.character(Class) == chosenClass, ]
if (nrow(tblData) == 0) {
return(NULL)
}
showModal(
modalDialog(
DT::renderDataTable(tblData[, .(CommitId, Comment)],
selection = 'none'),
title = paste0(
"The ",
isolate(input$project),
" project ",
" had the following ",
chosenClass,
" commits",
" during the ",
isolate(input$reportWindowSize),
" days starting from ",
format(chosenDate, "%d-%m-%Y"),
" :"
),
size = "l",
easyClose = TRUE
)
)
})
observe({
clickData <- event_data("plotly_click", source = "dev_subset")
if (length(clickData) == 0) {
return(NULL)
}
window = isolate(input$reportWindowSize) * 24 * 60 * 60
min = as.numeric(as.POSIXct(isolate(input$reportDateRange[1])))
max = as.numeric(as.POSIXct(isolate(input$reportDateRange[2])))
toBucket = function(date) {
as.Date(as.POSIXct(min + (
floor((date - min) / window) * window
), origin = "1970-01-01"))
}
chosenDate = as.Date(clickData$x)
dev = isolate(input$contributor)
if (input$devKey == "Name only") {
bla = reactiveVals$prjData[authorName == dev, ]
} else if (input$devKey == "Email only") {
bla = reactiveVals$prjData[authorMail == dev, ]
} else {
bla = reactiveVals$prjData[paste(authorName, "(", authorMail, ")") == dev, ]
}
agg = bla[date >= min &
date <= max &
toBucket(date) == chosenDate,
.(
CommitId = commitId,
Date = as.Date(as.POSIXct(date, origin = "1970-01-01")),
Class = ifelse(
predictedCat == "a",
"Adaptive",
ifelse(
predictedCat == "c",
"Corrective",
"Perfective"
)
),
Comment = gsub("\\[PATCH \\d+/\\d+\\] ",
"",
comment)
)]
chosenClass = ifelse(
clickData$curveNumber == 0,
"Adaptive",
ifelse(
clickData$curveNumber == 1,
"Perfective",
"Corrective"
)
)
tblData = agg[as.character(Class) == chosenClass, ]
if (nrow(tblData) == 0) {
return(NULL)
}
showModal(
modalDialog(
DT::renderDataTable(
tblData[, .(CommitId, Comment)],
selection = 'none',
options = list(
searching = FALSE,
lengthChange = FALSE
)
),
title = paste0(
isolate(input$contributor),
" performed the following ",
chosenClass,
" commits",
" during the ",
isolate(input$reportWindowSize),
" days starting from ",
format(chosenDate, "%d-%m-%Y"),
" :"
),
size = "l",
easyClose = TRUE
)
)
})
})