TAK-70 diagnosis history

app/profil_module.R

@@ -16,6 +16,11 @@ profilUI <- function(id) {
      Shiny.onInputChange("token", token);
     }
 );'),
+    tags$script('Shiny.addCustomMessageHandler("profileActiveTabHandler",     
+    function(arg) {
+     Shiny.onInputChange("profileActiveTab", 1);
+    }
+);'),
     
     
     tags$style(HTML("
@@ -95,10 +100,18 @@ profilServer <- function(input, output,session) {
     session$sendCustomMessage(type='tokenHandlerAccess',(session$clientData)$url_hash)
     
 
+
   })
   
   output$profileData<-renderUI({
+    activeTab=input$profileActiveTab
+    session$clientData$url_hash
+    print(activeTab)
+    if(length(activeTab)==0 || is.null(activeTab) || activeTab!=1){
     
+      shinyjs::runjs('Shiny.onInputChange("profileActiveTab", 1);')
+    }
+    else if(activeTab==1){
       
     r<-httr::GET("http://localhost:8080/api/profile",add_headers(Authorization=paste("Bearer",input$token,sep=" ")))
     
@@ -132,6 +145,9 @@ profilServer <- function(input, output,session) {
 
       
     }
+    # shinyjs::runjs('Shiny.onInputChange("profileActiveTab", 1);')  
+    }
+
     
   })
   output$btnEditProfile<-renderUI({
@@ -151,6 +167,8 @@ profilServer <- function(input, output,session) {
       
       
 
+      
+    
       fluidRow(
         column(3,
                tags$div("Panel sterowania") %>% tagAppendAttributes(class="panel-title")
@@ -160,7 +178,7 @@ profilServer <- function(input, output,session) {
                tabsetPanel(type = "tabs",
                            tabPanel("Dane profilowe", tags$div(uiOutput("profileData")
                            )%>% tagAppendAttributes(class = 'content-wrapper')),
-                           tabPanel("Zakladka 2", tags$div(plotlyOutput("plot2",height = "auto"))%>% tagAppendAttributes(class = 'content-wrapper')),
+                           tabPanel("Historia pomiarów",value='profileTabs', tags$div(DT::dataTableOutput("historyTable",height = "auto"))%>% tagAppendAttributes(id="profileTabs",class = 'content-wrapper')),
                            tabPanel("Zakladka 3", tags$div(plotlyOutput("plot3",height = "auto"))%>% tagAppendAttributes(class = 'content-wrapper')),
                            tabPanel("Zakladka 4", tags$div(plotlyOutput("plot4",height = "auto"))%>% tagAppendAttributes(class = 'content-wrapper')),
                            tabPanel("Zakladka 5", tags$div(DT::dataTableOutput("table1",height = "auto"))%>% tagAppendAttributes(class = 'content-wrapper'))
@@ -174,25 +192,59 @@ profilServer <- function(input, output,session) {
     
   })
   
+  observeEvent(input$profileTabs, {
+    shinyjs::runjs(' window.location.reload();')})
+  
   output$plot1 <- renderPlotly({
     
+    
     g<-ggplot(mpg) + 
       geom_point(mapping = aes(x = displ, y = hwy))
     
     gg<-ggplotly(g)
     
+    
+    
     gg
     
   })
   
-  output$plot2 <- renderPlotly({
+  output$historyTable <-  DT::renderDataTable({
+    activeTab = input$profileActiveTab
+    session$clientData$url_hash
+    print(activeTab)
+    if(activeTab!=2){
+    shinyjs::runjs('Shiny.onInputChange("profileActiveTab", 2);')  }
+    else{
+    r<-httr::GET("http://localhost:8080/api/prediction/usersPredictions/ind",add_headers(Authorization=paste("Bearer",input$token,sep=" ")),encode = 'json')
     
-    g<-ggplot(data = mpg, mapping = aes(x = cty, y = hwy)) + 
+    # print(typeof(do.call(c,(content(r)$predictions))))
-      geom_jitter()
+    # v<-do.call(c,(content(r)$predictions))
     
-    gg<-ggplotly(g)
+    df_historyTable<-as.data.frame(do.call(rbind, (content(r)$predictions)))
 
-    gg
+    # print(typeof(df_historyTable))
+    # print(df_historyTable)
+    df_historyTable<-df_historyTable %>%
+      select(name,resultValue,localDateTime) %>%
+      mutate(Akcja="TODO")%>%
+      rename(
+        Nazwa = name,
+        Wynik = resultValue,
+        Data = localDateTime
+      )
+    
+    df_historyTable$Nazwa<-do.call(c, df_historyTable$Nazwa)
+    df_historyTable$Wynik<-do.call(c, df_historyTable$Wynik)
+    df_historyTable$Data<-do.call(c, df_historyTable$Data)
+    print(df_historyTable)
+    print(df_historyTable$Nazwa)
+    
+    # as.character(df_historyTable$Nazwa)
+    # as.numeric(df_historyTable$Wynik)
+    # as.Date(df_historyTable$Data)
+    
+    DT::datatable(df_historyTable,options = list(scrollX = TRUE,language=pl))}
     
     })
   
@@ -204,6 +256,8 @@ profilServer <- function(input, output,session) {
     
     gg<-ggplotly(g)
     
+    
+    
     gg
     
   })

app/www/style.css

@@ -366,16 +366,29 @@ margin:0;
 	
 }
 
+table.dataTable{
+	
+}
+
+table.dataTable td{
+	color: white;
+    text-shadow: 1px 0 0.5px black, -1px 0 0.5px black, 0 1px 0.5px black, 0 -1px 0.5px black;
+    font-family: 'Fjalla One';
+	text-align:center!important;
+}
+
 table.dataTable tr:nth-child(even){
-	background-color:#C7F9CC!important;
+	background-color:#00A896!important;
 }
 table.dataTable tr:nth-child(odd){
-	background-color:#A7D7AC !important;
+	background-color:#00c7b2 !important;
 
 }
 
 table.dataTable th{
 	background-color:white !important;
+	text-align:center!important;
+	#color:#028090;
 }
 .datatables .dataTables_wrapper .dataTables_paginate a{
 	border:none;

backend/src/backend.iml

@@ -1,11 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<module type="JAVA_MODULE" version="4">
-  <component name="NewModuleRootManager" inherit-compiler-output="true">
-    <exclude-output />
-    <content url="file://$MODULE_DIR$">
-      <sourceFolder url="file://$MODULE_DIR$/main/java" isTestSource="false" />
-    </content>
-    <orderEntry type="inheritedJdk" />
-    <orderEntry type="sourceFolder" forTests="false" />
-  </component>
-</module>

backend/src/main/java/project/services/GeneratorDTO.java

@@ -27,7 +27,11 @@ public class GeneratorDTO implements Serializable {
     List<Prediction> predictionList){
         List<PredictionDTO> predictionDTOS = new ArrayList<>();
         for (Prediction prediction:predictionList) {
-            predictionDTOS.add(new PredictionDTO(prediction));
+            PredictionDTO predictionDTO = new PredictionDTO();
+            predictionDTO.setName(prediction.getName());
+            predictionDTO.setLocalDateTime(prediction.getLocalDateTime());
+            predictionDTO.setResultValue(prediction.getResultValue());
+            predictionDTOS.add(predictionDTO);
         }
 
         return predictionDTOS;