Limpieza de código.

BDAccess/app.R

@@ -144,37 +144,31 @@ server <- function(input, output) {
         print(CCfile)
         if (input$dbtype == "UM"){
             dta<<-odbcConnectAccess2007(access.file = UMfile, 
-                                        pwd = .rs.askForPassword("Enter password:"))
+                                        pwd = getPass::getPass("Enter password:"))
         }
         if (input$dbtype == "OV"){
             dta<<-odbcConnectAccess2007(access.file = OVfile, 
-                                        pwd = .rs.askForPassword("Enter password:"))
+                                        pwd = getPass::getPass("Enter password:"))
         }
         if (input$dbtype == "CC"){
             dta<<-odbcConnectAccess2007(access.file = CCfile, 
-                                        pwd = .rs.askForPassword("Enter password:"))
+                                        pwd = getPass::getPass("Enter password:"))
         }
         print(dta)
         if (input$backup == T){
             if (! input$dbtype %in% c("UM","OV")){
-                sqlBackUp(bu.dir="CC_BU")
-            }else{
-                sqlBackUp()   
+              sqlBackUp(dbfile = CCfile, bu.dir="CC_BU")
             }
-                
+            if (input$dbtype == "UM"){
+              sqlBackUp(dbfile = UMfile)
+            }
+            if (input$dbtype == "OV"){
+              sqlBackUp(dbfile = OVfile)
+            }
+            print("Back up realizado.")   
         }
     })
     
-    # observe({
-    #     if (!is.null(input$file_access)){ 
-    #         # Inicializar conexión
-    #         dta<<-odbcConnectAccess2007(access.file = file, 
-    #                                    pwd = .rs.askForPassword("Enter password:"))
-    #         print(dta)
-    #         sqlBackUp()
-    #     }
-    # })
-    
     observe({
         if (!is.null(input$file_query)){
             ## Importamos los NHC de las muestras nuevas
@@ -380,7 +374,7 @@ server <- function(input, output) {
             new.samp.df<-data.frame("NHC"=values[["DF"]]$NHC, "samples"=new.samp) %>% merge(sqlFetch(dta,"OVID", as.is=T), all.x=T) %>% arrange(samples)
             samples.exp<-merge(samples %>% slice(0), new.samp.df %>% select(-NHC), all=T) %>% select(colnames(samples)) %>% arrange(samples)
             if (today==TRUE){
-                samples.exp$IQ_date<-format(Sys.Date(), "%d/%m/%y")
+                samples.exp$Date_extraction<-format(Sys.Date(), "%d/%m/%y")
             }
             
             nhc.table<-values[["DF"]]
@@ -754,6 +748,7 @@ server <- function(input, output) {
                 sqlFetch(dta, "NITROGEN"),
                 file=paste0(NitroRoute, format(Sys.time(), format="%Y%m%d"),"-","UM-Nitrogen.xlsx")
             )
+            print("Backup Creado.")
             
             table<-read.xlsx(paste0(gsub("/BU_NITRO/", "", NitroRoute),"/Nitrogen_ICO.xlsx"))
             
@@ -784,6 +779,7 @@ server <- function(input, output) {
             
             sqlDrop(dta, "NITROGEN")
             sqlSave(dta, table.um %>% select(-FECHA) %>% filter(!is.na(CODIGO)), tablename="NITROGEN", rownames=F)
+            print("Tabla Actualizada.")
         }
         if (input$dbtype == "OV"){
             ## Copia de backup
@@ -797,6 +793,7 @@ server <- function(input, output) {
                 sqlFetch(dta, "NITROGEN"),
                 file=paste0(NitroRoute, format(Sys.time(), format="%Y%m%d"),"-","OV-Nitrogen.xlsx")
             )
+            print("Backup Creado.")
             
             ## Lectura del excel
             table<-read.xlsx(paste0(gsub("/BU_NITRO/", "", NitroRoute),"/Nitrogen_ICO.xlsx"))
@@ -822,6 +819,7 @@ server <- function(input, output) {
             
             sqlDrop(dta, "NITROGEN")
             sqlSave(dta, table.ov, tablename="NITROGEN", rownames=F)
+            print("Tabla Actualizada.")
         }
 
     })
@@ -923,10 +921,15 @@ server <- function(input, output) {
             g_IC<-g1
             
             pops<-sqlFetch(dta, "POPULATIONS")
-
-            g_pop<-pops %>% dplyr::filter(samples == input$id) %>% gather(pop,value,-samples) %>%
-                mutate(pop=factor(pop, levels=c("CD45pos_Alive","T_cells","CD8","CD4","DN","NK", "B_cells",
-                                                "CD45neg_LDneg","EpCAMneg_HLAIneg","EpCAMneg_HLAIpos","EpCAMpos_HLAIpos"))) %>%
+            
+            g_pop<-pops %>% 
+              dplyr::filter(sample == input$id) %>% 
+              gather(pop,value,-sample, -code, -fc_time) %>%
+                # mutate(pop=factor(pop, levels=c("CD45pos_Alive","T_cells","CD8","CD4","DN","NK", "B_cells",
+                #                                 "CD45neg_LDneg","EpCAMneg_HLAIneg","EpCAMneg_HLAIpos","EpCAMpos_HLAIpos"))) %>%
+              # mutate(pop=factor(pop, levels=c("CD45pos_Alive","T_cells","CD8","CD4","DN","NK", "B_cells",
+                                              # "CD45neg_LDneg","EpCAMneg_HLAIneg","EpCAMneg_HLAIpos","EpCAMpos_HLAIpos"))) %>%
+                mutate(value=as.numeric(gsub(",",".",value))) %>% 
                 ggplot(aes(pop, value))+
                     geom_bar(stat="identity", color="black", fill="grey70")+
                     labs(title = input$id, y="% parent", x="")+

sqlFunctions.R

@@ -82,7 +82,7 @@ sqlGenOVID<-function(conn=dta, nhcs=nhc.test, verb=T, sinc=F, dbtype=NULL){
 
   if(length(new.nhc) > 0){
     if (nrow(dbid) == 0){next.num<-1}else{
-    next.num<-gsub(db["dbcode"],"",dbid[,db["dbcode"]]) %>% as.numeric %>% max(na.rm=T)+1
+    next.num<-gsub(db["dbpref"],"",dbid[,db["dbcode"]]) %>% as.numeric %>% max(na.rm=T)+1
     }
     print(next.num)
     last.num<-next.num+(length(new.nhc)-1)