Release v4.1

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: forecast-eval
 Title: Forecast Evaluation Dashboard
-Version: 4.0
+Version: 4.1
 Authors@R: person("Kate", "Harwood",
                   role = c("cre")), 
 	   person("Chris", "Scott",

Report/create_reports.R

@@ -24,7 +24,7 @@ prediction_cards_filepath = case_when(
 )
 
 forecasters = unique(c(get_covidhub_forecaster_names(designations = c("primary", "secondary")),
-                "COVIDhub-baseline", "COVIDhub-trained_ensemble"))
+                "COVIDhub-baseline", "COVIDhub-trained_ensemble", "COVIDhub-4_week_ensemble"))
 locations = covidHubUtils::hub_locations
 
 # also includes "us", which is national level data

dashboard/app.R

@@ -212,7 +212,8 @@ ui <- fluidPage(padding=0, title="Forecast Eval Dashboard",
 )
 
 
-server <- function(input, output, session) {
+# Get and prepare data
+getS3Bucket <- function() {
   # Connect to AWS s3bucket
   Sys.setenv("AWS_DEFAULT_REGION" = "us-east-2")
   s3bucket = tryCatch(
@@ -224,40 +225,95 @@ server <- function(input, output, session) {
       return(NULL)
     }
   )
+
+  return(s3bucket)
+}
 
-  # Get and prepare data
-  getData <- function(filename){
-    if(!is.null(s3bucket)) {
-      tryCatch(
-        {
-          s3readRDS(object = filename, bucket = s3bucket)
-        },
-        error = function(e) {
-          e
-          getFallbackData(filename)
-        }
-      )
-    } else {
-      getFallbackData(filename)
-    }
+getData <- function(filename, s3bucket){
+  if(!is.null(s3bucket)) {
+    tryCatch(
+      {
+        s3readRDS(object = filename, bucket = s3bucket)
+      },
+      error = function(e) {
+        e
+        getFallbackData(filename)
+      }
+    )
+  } else {
+    getFallbackData(filename)
   }
+}
 
-  getFallbackData = function(filename) {
-    path = ifelse(
-      file.exists(filename),
-      filename,
-      file.path("../dist/",filename)
-    )
-    readRDS(path)
+getFallbackData = function(filename) {
+  path = ifelse(
+    file.exists(filename),
+    filename,
+    file.path("../dist/",filename)
+  )
+  readRDS(path)
+}
+
+getAllData = function(s3bucket) {
+  dfStateCases <- getData("score_cards_state_cases.rds", s3bucket)
+  dfStateDeaths <- getData("score_cards_state_deaths.rds", s3bucket)
+  dfNationCases = getData("score_cards_nation_cases.rds", s3bucket)
+  dfNationDeaths = getData("score_cards_nation_deaths.rds", s3bucket)
+  dfStateHospitalizations = getData("score_cards_state_hospitalizations.rds", s3bucket)
+  dfNationHospitalizations = getData("score_cards_nation_hospitalizations.rds", s3bucket)
+
+  # Pick out expected columns only
+  covCols = paste0("cov_", COVERAGE_INTERVALS)
+  expectedCols = c("ahead", "geo_value", "forecaster", "forecast_date",
+                   "data_source", "signal", "target_end_date", "incidence_period",
+                   "actual", "wis", "sharpness", "ae", "value_50",
+                   covCols)
+
+  dfStateCases = dfStateCases %>% select(all_of(expectedCols))
+  dfStateDeaths = dfStateDeaths %>% select(all_of(expectedCols))
+  dfNationCases = dfNationCases %>% select(all_of(expectedCols))
+  dfNationDeaths = dfNationDeaths %>% select(all_of(expectedCols))
+  dfStateHospitalizations = dfStateHospitalizations %>% select(all_of(expectedCols))
+  dfNationHospitalizations = dfNationHospitalizations %>% select(all_of(expectedCols))
+
+  df = rbind(dfStateCases, dfStateDeaths, dfNationCases, dfNationDeaths, dfStateHospitalizations, dfNationHospitalizations)
+  df = df %>% rename("10" = cov_10, "20" = cov_20, "30" = cov_30, "40" = cov_40, "50" = cov_50, "60" = cov_60, "70" = cov_70, "80" = cov_80, "90" = cov_90, "95" = cov_95, "98" = cov_98)
+
+  return(df)
+}
+
+getRecentDataHelper = function() {
+  s3bucket <- getS3Bucket()
+  df <- data.frame()
+
+  getRecentData = function() {
+    newS3bucket <- getS3Bucket()
+
+    s3Contents <- s3bucket[attr(s3bucket, "names", exact=TRUE)]
+    newS3Contents <- newS3bucket[attr(newS3bucket, "names", exact=TRUE)]
+
+    # Fetch new score data if contents of S3 bucket has changed (including file
+    # names, sizes, and last modified timestamps). Ignores characteristics of
+    # bucket and request, including bucket region, name, content type, request
+    # date, request ID, etc.
+    if ( nrow(df) == 0 || !identical(s3Contents, newS3Contents) ) {
+      # Save new data and new bucket connection info to vars in env of
+      # `getRecentDataHelper`. They persist between calls to `getRecentData` a
+      # la https://stackoverflow.com/questions/1088639/static-variables-in-r
+      s3bucket <<- newS3bucket
+      df <<- getAllData(s3bucket)
+    }
+
+    return(df)
   }
+
+  return(getRecentData)
+}
 
-  dfStateCases <- getData("score_cards_state_cases.rds")
-  dfStateDeaths <- getData("score_cards_state_deaths.rds")
-  dfNationCases = getData("score_cards_nation_cases.rds")
-  dfNationDeaths = getData("score_cards_nation_deaths.rds")
-  dfStateHospitalizations = getData("score_cards_state_hospitalizations.rds")
-  dfNationHospitalizations = getData("score_cards_nation_hospitalizations.rds")
-  DATA_LOADED = TRUE
+getRecentData <- getRecentDataHelper()
+
+
+server <- function(input, output, session) {
   TERRITORIES = c('AS', 'GU', 'MP', 'VI')
   PREV_AS_OF_DATA = reactiveVal(NULL)
   AS_OF_CHOICES = reactiveVal(NULL)
@@ -276,24 +332,10 @@ server <- function(input, output, session) {
   CURRENT_WEEK_END_DATE = reactiveVal(CASES_DEATHS_CURRENT)
   prevHospWeek <- seq(Sys.Date()-11,Sys.Date()-5,by='day')
   HOSP_CURRENT = prevHospWeek[weekdays(prevHospWeek)=='Wednesday']
-
-
-  # Pick out expected columns only
-  covCols = paste0("cov_", COVERAGE_INTERVALS)
-  expectedCols = c("ahead", "geo_value", "forecaster", "forecast_date",
-                   "data_source", "signal", "target_end_date", "incidence_period",
-                   "actual", "wis", "sharpness", "ae", "value_50",
-                   covCols)
-
-  dfStateCases = dfStateCases %>% select(all_of(expectedCols))
-  dfStateDeaths = dfStateDeaths %>% select(all_of(expectedCols))
-  dfNationCases = dfNationCases %>% select(all_of(expectedCols))
-  dfNationDeaths = dfNationDeaths %>% select(all_of(expectedCols))
-  dfStateHospitalizations = dfStateHospitalizations %>% select(all_of(expectedCols))
-  dfNationHospitalizations = dfNationHospitalizations %>% select(all_of(expectedCols))
 
-  df = rbind(dfStateCases, dfStateDeaths, dfNationCases, dfNationDeaths, dfStateHospitalizations, dfNationHospitalizations)
-  df = df %>% rename("10" = cov_10, "20" = cov_20, "30" = cov_30, "40" = cov_40, "50" = cov_50, "60" = cov_60, "70" = cov_70, "80" = cov_80, "90" = cov_90, "95" = cov_95, "98" = cov_98)
+  # Get scores
+  df = getRecentData()
+  DATA_LOADED = TRUE
 
   # Prepare input choices
   forecasterChoices = sort(unique(df$forecaster))

docker_dashboard/Dockerfile

@@ -1,9 +1,20 @@
 FROM rocker/shiny-verse
 LABEL org.opencontainers.image.source = "https://github.com/cmu-delphi/forecast-eval"
 
+RUN apt-get update && apt-get install -qq -y \
+    libgdal-dev \
+    libudunits2-dev
 
 ADD docker_dashboard/shiny_server.conf /etc/shiny-server/shiny-server.conf
-RUN install2.r plotly shinyjs tsibble viridis aws.s3 covidcast stringr
+RUN install2.r --error \
+    plotly \
+    shinyjs \
+    tsibble \
+    viridis \
+    aws.s3 \
+    covidcast \
+    stringr \
+    markdown
 
 COPY dist/*rds /srv/shiny-server/
 COPY dashboard/* /srv/shiny-server/