NHC as a character.
This commit is contained in:
+49
-49
@@ -299,13 +299,13 @@ server <- function(input, output) {
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}
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}
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if (input$dbtype == "UM"){
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if (input$dbtype == "UM"){
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values[["DF"]]<-merge(values[["DF"]], sqlFetch(dta, "UMID"))
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values[["DF"]]<-merge(values[["DF"]], sqlFetch(dta, "UMID", as.is=T))
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}
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}
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if (input$dbtype == "OV"){
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if (input$dbtype == "OV"){
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values[["DF"]]<-merge(values[["DF"]], sqlFetch(dta, "OVID"))
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values[["DF"]]<-merge(values[["DF"]], sqlFetch(dta, "OVID", as.is=T))
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}
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}
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if (input$dbtype == "CC"){
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if (input$dbtype == "CC"){
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values[["DF"]]<-merge(values[["DF"]], sqlFetch(dta, "PATID"))
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values[["DF"]]<-merge(values[["DF"]], sqlFetch(dta, "PATID", as.is=T))
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}
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}
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print(values[["DF"]])
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print(values[["DF"]])
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})
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})
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@@ -313,9 +313,9 @@ server <- function(input, output) {
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observeEvent(input$filltemplate,{
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observeEvent(input$filltemplate,{
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today=T
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today=T
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if (input$dbtype == "UM"){
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if (input$dbtype == "UM"){
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upd.umid<-sqlFetch(dta, "UMID") %>% filter(NHC %in% values[["DF"]]$NHC)
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upd.umid<-sqlFetch(dta, "UMID", as.is=T) %>% filter(NHC %in% values[["DF"]]$NHC)
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## Generar código para las nuevas muestras
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## Generar código para las nuevas muestras
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samples<-sqlFetch(dta, "MUESTRAS")
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samples<-sqlFetch(dta, "MUESTRAS", as.is=T)
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if(sum(grepl(paste0("UM",Sys.time() %>% format("%y")), samples$CODIGO)) > 0){
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if(sum(grepl(paste0("UM",Sys.time() %>% format("%y")), samples$CODIGO)) > 0){
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next.samp<-gsub(paste0("UM",Sys.time() %>% format("%y")),"", samples$CODIGO) %>% as.numeric %>% max(na.rm=T)+1
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next.samp<-gsub(paste0("UM",Sys.time() %>% format("%y")),"", samples$CODIGO) %>% as.numeric %>% max(na.rm=T)+1
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}else{
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}else{
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@@ -323,7 +323,7 @@ server <- function(input, output) {
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}
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}
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last.samp<-next.samp+(length(values[["DF"]]$NHC)-1)
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last.samp<-next.samp+(length(values[["DF"]]$NHC)-1)
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new.samp<-sprintf("UM%s%02d",Sys.time() %>% format("%y"),next.samp:last.samp)
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new.samp<-sprintf("UM%s%02d",Sys.time() %>% format("%y"),next.samp:last.samp)
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new.samp.df<-data.frame("NHC"=values[["DF"]]$NHC, "CODIGO"=new.samp) %>% merge(sqlFetch(dta,"UMID"), all.x=T) %>% arrange(CODIGO)
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new.samp.df<-data.frame("NHC"=values[["DF"]]$NHC, "CODIGO"=new.samp) %>% merge(sqlFetch(dta,"UMID", as.is=T), all.x=T) %>% arrange(CODIGO)
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samples.exp<-merge(samples %>% slice(0), new.samp.df %>% select(-NHC), all=T) %>% select(colnames(samples)) %>% arrange(CODIGO)
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samples.exp<-merge(samples %>% slice(0), new.samp.df %>% select(-NHC), all=T) %>% select(colnames(samples)) %>% arrange(CODIGO)
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if (today==TRUE){
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if (today==TRUE){
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samples.exp$FECHA_RECEPCION<-format(Sys.Date(), "%d/%m/%y")
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samples.exp$FECHA_RECEPCION<-format(Sys.Date(), "%d/%m/%y")
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@@ -333,30 +333,30 @@ server <- function(input, output) {
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if (any(sapply(nhc.table$Samples, function(x) "cnag" %in% strsplit(x,",")[[1]]) == T)){
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if (any(sapply(nhc.table$Samples, function(x) "cnag" %in% strsplit(x,",")[[1]]) == T)){
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nhcs.cnag<-nhc.table[sapply(nhc.table$Samples, function(x) "cnag" %in% strsplit(x,",")[[1]]),"NHC"]
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nhcs.cnag<-nhc.table[sapply(nhc.table$Samples, function(x) "cnag" %in% strsplit(x,",")[[1]]),"NHC"]
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umid.cnag<-sqlFetch(dta, "UMID") %>% filter(NHC %in% nhcs.cnag) %>% pull(UMID)
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umid.cnag<-sqlFetch(dta, "UMID", as.is=T) %>% filter(NHC %in% nhcs.cnag) %>% pull(UMID)
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sample.cnag<-samples.exp %>% filter(UMID %in% umid.cnag) %>% pull(CODIGO)
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sample.cnag<-samples.exp %>% filter(UMID %in% umid.cnag) %>% pull(CODIGO)
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cnag.exp<-merge(data.frame("UMID"=umid.cnag, "CODIGO"=sample.cnag), sqlFetch(dta, "CNAG") %>% slice(0), all=T)
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cnag.exp<-merge(data.frame("UMID"=umid.cnag, "CODIGO"=sample.cnag), sqlFetch(dta, "CNAG", as.is=T) %>% slice(0), all=T)
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if (today==TRUE){
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if (today==TRUE){
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cnag.exp$FECHA_ENVIO<-format(Sys.Date(), "%d/%m/%y")
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cnag.exp$FECHA_ENVIO<-format(Sys.Date(), "%d/%m/%y")
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}
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}
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}else{
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}else{
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cnag.exp<-sqlFetch(dta, "CNAG") %>% slice(0) %>%
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cnag.exp<-sqlFetch(dta, "CNAG", as.is=T) %>% slice(0) %>%
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mutate(across(lubridate::is.POSIXct, as.character))
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mutate(across(lubridate::is.POSIXct, as.character))
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}
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}
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if (any(sapply(nhc.table$Samples, function(x) "rna" %in% strsplit(x,",")[[1]]) == T)){
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if (any(sapply(nhc.table$Samples, function(x) "rna" %in% strsplit(x,",")[[1]]) == T)){
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nhcs.rna<-nhc.table[sapply(nhc.table$Samples, function(x) "rna" %in% strsplit(x,",")[[1]]),"NHC"]
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nhcs.rna<-nhc.table[sapply(nhc.table$Samples, function(x) "rna" %in% strsplit(x,",")[[1]]),"NHC"]
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umid.rna<-sqlFetch(dta, "UMID") %>% filter(NHC %in% nhcs.rna) %>% pull(UMID)
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umid.rna<-sqlFetch(dta, "UMID", as.is=T) %>% filter(NHC %in% nhcs.rna) %>% pull(UMID)
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sample.rna<-samples.exp %>% filter(UMID %in% umid.rna) %>% pull(CODIGO)
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sample.rna<-samples.exp %>% filter(UMID %in% umid.rna) %>% pull(CODIGO)
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rna.exp<-merge(data.frame("UMID"=umid.rna, "CODIGO"=sample.rna), sqlFetch(dta, "RNADNA") %>% slice(0)%>%
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rna.exp<-merge(data.frame("UMID"=umid.rna, "CODIGO"=sample.rna), sqlFetch(dta, "RNADNA", as.is=T) %>% slice(0)%>%
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mutate(across(lubridate::is.POSIXct, as.character)), all=T)
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mutate(across(lubridate::is.POSIXct, as.character)), all=T)
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}else{
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}else{
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rna.exp<-sqlFetch(dta, "RNADNA") %>% slice(0) %>%
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rna.exp<-sqlFetch(dta, "RNADNA", as.is=T) %>% slice(0) %>%
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mutate(across(lubridate::is.POSIXct, as.character))
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mutate(across(lubridate::is.POSIXct, as.character))
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}
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}
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## Importar los datos clínicos de pacientes existentes y generar nueva entrada par los nuevos
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## Importar los datos clínicos de pacientes existentes y generar nueva entrada par los nuevos
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upd.clinics<-sqlFetch(dta, "CLINICOS")
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upd.clinics<-sqlFetch(dta, "CLINICOS", as.is=T)
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umid.new<-sqlFetch(dta, "UMID") %>% filter(NHC %in% values[["DF"]]$NHC)
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umid.new<-sqlFetch(dta, "UMID", as.is=T) %>% filter(NHC %in% values[["DF"]]$NHC)
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upd.clinics<-merge(umid.new,upd.clinics, all.x=T, by="UMID")
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upd.clinics<-merge(umid.new,upd.clinics, all.x=T, by="UMID")
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upd.clinics$NHC<-as.character(upd.clinics$NHC)
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upd.clinics$NHC<-as.character(upd.clinics$NHC)
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for (i in colnames(upd.clinics)[sapply(upd.clinics, lubridate::is.POSIXct)]){upd.clinics[,i]<-as.Date(upd.clinics[,i])}
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for (i in colnames(upd.clinics)[sapply(upd.clinics, lubridate::is.POSIXct)]){upd.clinics[,i]<-as.Date(upd.clinics[,i])}
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@@ -367,9 +367,9 @@ server <- function(input, output) {
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values[["rna"]]<-rna.exp
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values[["rna"]]<-rna.exp
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}
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}
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if (input$dbtype == "OV"){
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if (input$dbtype == "OV"){
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upd.umid<-sqlFetch(dta, "OVID") %>% filter(NHC %in% values[["DF"]]$NHC)
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upd.umid<-sqlFetch(dta, "OVID", as.is=T) %>% filter(NHC %in% values[["DF"]]$NHC)
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## Generar código para las nuevas muestras
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## Generar código para las nuevas muestras
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samples<-sqlFetch(dta, "SAMPLES")
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samples<-sqlFetch(dta, "SAMPLES", as.is=T)
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if(sum(grepl(paste0("OV",Sys.time() %>% format("%y")), samples$samples)) > 0){
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if(sum(grepl(paste0("OV",Sys.time() %>% format("%y")), samples$samples)) > 0){
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next.samp<-gsub(paste0("OV",Sys.time() %>% format("%y")),"", samples$samples) %>% as.numeric %>% max(na.rm=T)+1
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next.samp<-gsub(paste0("OV",Sys.time() %>% format("%y")),"", samples$samples) %>% as.numeric %>% max(na.rm=T)+1
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}else{
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}else{
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@@ -377,7 +377,7 @@ server <- function(input, output) {
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}
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}
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last.samp<-next.samp+(length(values[["DF"]]$NHC)-1)
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last.samp<-next.samp+(length(values[["DF"]]$NHC)-1)
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new.samp<-sprintf("OV%s%02d",Sys.time() %>% format("%y"),next.samp:last.samp)
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new.samp<-sprintf("OV%s%02d",Sys.time() %>% format("%y"),next.samp:last.samp)
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new.samp.df<-data.frame("NHC"=values[["DF"]]$NHC, "samples"=new.samp) %>% merge(sqlFetch(dta,"OVID"), all.x=T) %>% arrange(samples)
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new.samp.df<-data.frame("NHC"=values[["DF"]]$NHC, "samples"=new.samp) %>% merge(sqlFetch(dta,"OVID", as.is=T), all.x=T) %>% arrange(samples)
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samples.exp<-merge(samples %>% slice(0), new.samp.df %>% select(-NHC), all=T) %>% select(colnames(samples)) %>% arrange(samples)
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samples.exp<-merge(samples %>% slice(0), new.samp.df %>% select(-NHC), all=T) %>% select(colnames(samples)) %>% arrange(samples)
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if (today==TRUE){
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if (today==TRUE){
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samples.exp$IQ_date<-format(Sys.Date(), "%d/%m/%y")
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samples.exp$IQ_date<-format(Sys.Date(), "%d/%m/%y")
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@@ -386,8 +386,8 @@ server <- function(input, output) {
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nhc.table<-values[["DF"]]
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nhc.table<-values[["DF"]]
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## Importar los datos clínicos de pacientes existentes y generar nueva entrada par los nuevos
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## Importar los datos clínicos de pacientes existentes y generar nueva entrada par los nuevos
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upd.clinics<-sqlFetch(dta, "CLINICS")
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upd.clinics<-sqlFetch(dta, "CLINICS", as.is=T)
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umid.new<-sqlFetch(dta, "OVID") %>% filter(NHC %in% values[["DF"]]$NHC)
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umid.new<-sqlFetch(dta, "OVID", as.is=T) %>% filter(NHC %in% values[["DF"]]$NHC)
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upd.clinics<-merge(umid.new,upd.clinics, all.x=T, by="OVID")
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upd.clinics<-merge(umid.new,upd.clinics, all.x=T, by="OVID")
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upd.clinics$NHC<-as.character(upd.clinics$NHC)
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upd.clinics$NHC<-as.character(upd.clinics$NHC)
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for (i in colnames(upd.clinics)[sapply(upd.clinics, lubridate::is.POSIXct)]){upd.clinics[,i]<-as.Date(upd.clinics[,i])}
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for (i in colnames(upd.clinics)[sapply(upd.clinics, lubridate::is.POSIXct)]){upd.clinics[,i]<-as.Date(upd.clinics[,i])}
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@@ -397,9 +397,9 @@ server <- function(input, output) {
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}
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}
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if (input$dbtype %in% c("CC")){
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if (input$dbtype %in% c("CC")){
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upd.umid<-sqlFetch(dta, "PATID") %>% filter(NHC %in% values[["DF"]]$NHC)
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upd.umid<-sqlFetch(dta, "PATID", as.is=T) %>% filter(NHC %in% values[["DF"]]$NHC)
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## Generar código para las nuevas muestras
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## Generar código para las nuevas muestras
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samples<-sqlFetch(dta, "MUESTRAS")
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samples<-sqlFetch(dta, "MUESTRAS", as.is=T)
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if(sum(grepl(paste0(input$dbtype,Sys.time() %>% format("%y")), samples$CODIGO)) > 0){
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if(sum(grepl(paste0(input$dbtype,Sys.time() %>% format("%y")), samples$CODIGO)) > 0){
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next.samp<-gsub(paste0(input$dbtype,Sys.time() %>% format("%y")),"", samples$CODIGO) %>% as.numeric %>% max(na.rm=T)+1
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next.samp<-gsub(paste0(input$dbtype,Sys.time() %>% format("%y")),"", samples$CODIGO) %>% as.numeric %>% max(na.rm=T)+1
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}else{
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}else{
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@@ -407,7 +407,7 @@ server <- function(input, output) {
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}
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}
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last.samp<-next.samp+(length(values[["DF"]]$NHC)-1)
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last.samp<-next.samp+(length(values[["DF"]]$NHC)-1)
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new.samp<-sprintf("%s%s%02d",input$dbtype,Sys.time() %>% format("%y"),next.samp:last.samp)
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new.samp<-sprintf("%s%s%02d",input$dbtype,Sys.time() %>% format("%y"),next.samp:last.samp)
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new.samp.df<-data.frame("NHC"=values[["DF"]]$NHC, "CODIGO"=new.samp) %>% merge(sqlFetch(dta,"PATID"), all.x=T) %>% arrange(CODIGO)
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new.samp.df<-data.frame("NHC"=values[["DF"]]$NHC, "CODIGO"=new.samp) %>% merge(sqlFetch(dta,"PATID", as.is=T), all.x=T) %>% arrange(CODIGO)
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samples.exp<-merge(samples %>% slice(0), new.samp.df %>% select(-NHC), all=T) %>% select(colnames(samples)) %>% arrange(CODIGO)
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samples.exp<-merge(samples %>% slice(0), new.samp.df %>% select(-NHC), all=T) %>% select(colnames(samples)) %>% arrange(CODIGO)
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if (today==TRUE){
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if (today==TRUE){
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samples.exp$FECHA_RECEPCION<-format(Sys.Date(), "%d/%m/%y")
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samples.exp$FECHA_RECEPCION<-format(Sys.Date(), "%d/%m/%y")
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@@ -417,30 +417,30 @@ server <- function(input, output) {
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if (any(sapply(nhc.table$Samples, function(x) "cnag" %in% strsplit(x,",")[[1]]) == T)){
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if (any(sapply(nhc.table$Samples, function(x) "cnag" %in% strsplit(x,",")[[1]]) == T)){
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nhcs.cnag<-nhc.table[sapply(nhc.table$Samples, function(x) "cnag" %in% strsplit(x,",")[[1]]),"NHC"]
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nhcs.cnag<-nhc.table[sapply(nhc.table$Samples, function(x) "cnag" %in% strsplit(x,",")[[1]]),"NHC"]
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umid.cnag<-sqlFetch(dta, "PATID") %>% filter(NHC %in% nhcs.cnag) %>% pull(PATID)
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umid.cnag<-sqlFetch(dta, "PATID", as.is=T) %>% filter(NHC %in% nhcs.cnag) %>% pull(PATID)
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sample.cnag<-samples.exp %>% filter(PATID %in% umid.cnag) %>% pull(CODIGO)
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sample.cnag<-samples.exp %>% filter(PATID %in% umid.cnag) %>% pull(CODIGO)
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cnag.exp<-merge(data.frame("PATID"=umid.cnag, "CODIGO"=sample.cnag), sqlFetch(dta, "CNAG") %>% slice(0), all=T)
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cnag.exp<-merge(data.frame("PATID"=umid.cnag, "CODIGO"=sample.cnag), sqlFetch(dta, "CNAG", as.is=T) %>% slice(0), all=T)
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if (today==TRUE){
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if (today==TRUE){
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cnag.exp$FECHA_ENVIO<-format(Sys.Date(), "%d/%m/%y")
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cnag.exp$FECHA_ENVIO<-format(Sys.Date(), "%d/%m/%y")
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}
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}
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}else{
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}else{
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cnag.exp<-sqlFetch(dta, "CNAG") %>% slice(0) %>%
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cnag.exp<-sqlFetch(dta, "CNAG", as.is=T) %>% slice(0) %>%
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mutate(across(lubridate::is.POSIXct, as.character))
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mutate(across(lubridate::is.POSIXct, as.character))
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}
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}
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if (any(sapply(nhc.table$Samples, function(x) "rna" %in% strsplit(x,",")[[1]]) == T)){
|
if (any(sapply(nhc.table$Samples, function(x) "rna" %in% strsplit(x,",")[[1]]) == T)){
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nhcs.rna<-nhc.table[sapply(nhc.table$Samples, function(x) "rna" %in% strsplit(x,",")[[1]]),"NHC"]
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nhcs.rna<-nhc.table[sapply(nhc.table$Samples, function(x) "rna" %in% strsplit(x,",")[[1]]),"NHC"]
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umid.rna<-sqlFetch(dta, "PATID") %>% filter(NHC %in% nhcs.rna) %>% pull(PATID)
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umid.rna<-sqlFetch(dta, "PATID", as.is=T) %>% filter(NHC %in% nhcs.rna) %>% pull(PATID)
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sample.rna<-samples.exp %>% filter(PATID %in% umid.rna) %>% pull(CODIGO)
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sample.rna<-samples.exp %>% filter(PATID %in% umid.rna) %>% pull(CODIGO)
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rna.exp<-merge(data.frame("PATID"=umid.rna, "CODIGO"=sample.rna), sqlFetch(dta, "RNADNA") %>% slice(0)%>%
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rna.exp<-merge(data.frame("PATID"=umid.rna, "CODIGO"=sample.rna), sqlFetch(dta, "RNADNA", as.is=T) %>% slice(0)%>%
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mutate(across(lubridate::is.POSIXct, as.character)), all=T)
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mutate(across(lubridate::is.POSIXct, as.character)), all=T)
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}else{
|
}else{
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rna.exp<-sqlFetch(dta, "RNADNA") %>% slice(0) %>%
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rna.exp<-sqlFetch(dta, "RNADNA", as.is=T) %>% slice(0) %>%
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mutate(across(lubridate::is.POSIXct, as.character))
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mutate(across(lubridate::is.POSIXct, as.character))
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}
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}
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|
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## Importar los datos clínicos de pacientes existentes y generar nueva entrada par los nuevos
|
## Importar los datos clínicos de pacientes existentes y generar nueva entrada par los nuevos
|
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upd.clinics<-sqlFetch(dta, "CLINICOS")
|
upd.clinics<-sqlFetch(dta, "CLINICOS", as.is=T)
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umid.new<-sqlFetch(dta, "PATID") %>% filter(NHC %in% values[["DF"]]$NHC)
|
umid.new<-sqlFetch(dta, "PATID", as.is=T) %>% filter(NHC %in% values[["DF"]]$NHC)
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upd.clinics<-merge(umid.new,upd.clinics, all.x=T, by="PATID")
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upd.clinics<-merge(umid.new,upd.clinics, all.x=T, by="PATID")
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upd.clinics$NHC<-as.character(upd.clinics$NHC)
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upd.clinics$NHC<-as.character(upd.clinics$NHC)
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for (i in colnames(upd.clinics)[sapply(upd.clinics, lubridate::is.POSIXct)]){upd.clinics[,i]<-as.Date(upd.clinics[,i])}
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for (i in colnames(upd.clinics)[sapply(upd.clinics, lubridate::is.POSIXct)]){upd.clinics[,i]<-as.Date(upd.clinics[,i])}
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@@ -473,8 +473,8 @@ server <- function(input, output) {
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|
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## Entradas modificadas en CLINICOS
|
## Entradas modificadas en CLINICOS
|
||||||
upd.clinics<-values[["CLINICS"]]
|
upd.clinics<-values[["CLINICS"]]
|
||||||
umid.mod<-upd.clinics$UMID[upd.clinics$UMID %in% (sqlFetch(dta, "CLINICOS") %>% pull(UMID))]
|
umid.mod<-upd.clinics$UMID[upd.clinics$UMID %in% (sqlFetch(dta, "CLINICOS", as.is=T) %>% pull(UMID))]
|
||||||
rnames<-sqlFetch(dta, "CLINICOS") %>% filter(UMID %in% umid.mod) %>% rownames
|
rnames<-sqlFetch(dta, "CLINICOS", as.is=T) %>% filter(UMID %in% umid.mod) %>% rownames
|
||||||
clinics.mod<-upd.clinics %>% filter(UMID %in% umid.mod) %>% select(-NHC)
|
clinics.mod<-upd.clinics %>% filter(UMID %in% umid.mod) %>% select(-NHC)
|
||||||
rownames(clinics.mod)<-rnames
|
rownames(clinics.mod)<-rnames
|
||||||
|
|
||||||
@@ -487,8 +487,8 @@ server <- function(input, output) {
|
|||||||
print("Tabla CLINICOS modificada.")
|
print("Tabla CLINICOS modificada.")
|
||||||
|
|
||||||
## Nuevas entradas en CLINICOS
|
## Nuevas entradas en CLINICOS
|
||||||
nsamples.clin<-sqlFetch(dta, "CLINICOS") %>% nrow
|
nsamples.clin<-sqlFetch(dta, "CLINICOS", as.is=T) %>% nrow
|
||||||
umid.new<-upd.clinics$UMID[!upd.clinics$UMID %in% (sqlFetch(dta, "CLINICOS") %>% pull(UMID))]
|
umid.new<-upd.clinics$UMID[!upd.clinics$UMID %in% (sqlFetch(dta, "CLINICOS", as.is=T) %>% pull(UMID))]
|
||||||
clinics.new<-upd.clinics %>% filter(UMID %in% umid.new) %>% select(-NHC)
|
clinics.new<-upd.clinics %>% filter(UMID %in% umid.new) %>% select(-NHC)
|
||||||
if (length(umid.new) > 0){rownames(clinics.new)<-(nsamples.clin+1):(nsamples.clin+nrow(clinics.new)) %>% as.character}
|
if (length(umid.new) > 0){rownames(clinics.new)<-(nsamples.clin+1):(nsamples.clin+nrow(clinics.new)) %>% as.character}
|
||||||
|
|
||||||
@@ -505,7 +505,7 @@ server <- function(input, output) {
|
|||||||
## Nuevas entradas en CNAG
|
## Nuevas entradas en CNAG
|
||||||
if (nrow(values[["cnag"]]) > 0){
|
if (nrow(values[["cnag"]]) > 0){
|
||||||
cnag.sync<-values[["cnag"]]
|
cnag.sync<-values[["cnag"]]
|
||||||
fechas<-colnames(cnag.sync)[sqlFetch(dta, "CNAG") %>% sapply(lubridate::is.POSIXct)]
|
fechas<-colnames(cnag.sync)[sqlFetch(dta, "CNAG", as.is=T) %>% sapply(lubridate::is.POSIXct)]
|
||||||
varTypes<-rep("Date",length(fechas))
|
varTypes<-rep("Date",length(fechas))
|
||||||
names(varTypes)<-fechas
|
names(varTypes)<-fechas
|
||||||
print(fechas)
|
print(fechas)
|
||||||
@@ -518,7 +518,7 @@ server <- function(input, output) {
|
|||||||
## Nuevas entradas en RNADNA
|
## Nuevas entradas en RNADNA
|
||||||
if (nrow(values[["rna"]]) > 0){
|
if (nrow(values[["rna"]]) > 0){
|
||||||
rna.sync<-values[["rna"]]
|
rna.sync<-values[["rna"]]
|
||||||
fechas<-colnames(rna.sync)[sqlFetch(dta, "RNADNA") %>% sapply(lubridate::is.POSIXct)]
|
fechas<-colnames(rna.sync)[sqlFetch(dta, "RNADNA", as.is=T) %>% sapply(lubridate::is.POSIXct)]
|
||||||
varTypes<-rep("Date",length(fechas))
|
varTypes<-rep("Date",length(fechas))
|
||||||
names(varTypes)<-fechas
|
names(varTypes)<-fechas
|
||||||
for (i in fechas){
|
for (i in fechas){
|
||||||
@@ -534,7 +534,7 @@ server <- function(input, output) {
|
|||||||
if (nrow(upd.samples) > 0){rownames(upd.samples)<-(nsamples+1):(nsamples+nrow(upd.samples)) %>% as.character}
|
if (nrow(upd.samples) > 0){rownames(upd.samples)<-(nsamples+1):(nsamples+nrow(upd.samples)) %>% as.character}
|
||||||
|
|
||||||
if (nrow(upd.samples) > 0){
|
if (nrow(upd.samples) > 0){
|
||||||
fechas<-colnames(upd.samples)[sqlFetch(dta, "SAMPLES") %>% sapply(lubridate::is.POSIXct)]
|
fechas<-colnames(upd.samples)[sqlFetch(dta, "SAMPLES", as.is=T) %>% sapply(lubridate::is.POSIXct)]
|
||||||
for (i in fechas){
|
for (i in fechas){
|
||||||
upd.samples[,i]<-lubridate::parse_date_time(upd.samples[,i], c("d/m/Y","d/m/y","Y-m-d")) %>% as.Date()
|
upd.samples[,i]<-lubridate::parse_date_time(upd.samples[,i], c("d/m/Y","d/m/y","Y-m-d")) %>% as.Date()
|
||||||
}
|
}
|
||||||
@@ -549,14 +549,14 @@ server <- function(input, output) {
|
|||||||
|
|
||||||
## Entradas modificadas en CLINICOS
|
## Entradas modificadas en CLINICOS
|
||||||
upd.clinics<-values[["CLINICS"]]
|
upd.clinics<-values[["CLINICS"]]
|
||||||
umid.mod<-upd.clinics$OVID[upd.clinics$OVID %in% (sqlFetch(dta, "CLINICS") %>% pull(OVID))]
|
umid.mod<-upd.clinics$OVID[upd.clinics$OVID %in% (sqlFetch(dta, "CLINICS", as.is=T) %>% pull(OVID))]
|
||||||
rnames<-sqlFetch(dta, "CLINICS") %>% filter(OVID %in% umid.mod) %>% rownames
|
rnames<-sqlFetch(dta, "CLINICS", as.is=T) %>% filter(OVID %in% umid.mod) %>% rownames
|
||||||
clinics.mod<-upd.clinics %>% filter(OVID %in% umid.mod) %>% select(-NHC)
|
clinics.mod<-upd.clinics %>% filter(OVID %in% umid.mod) %>% select(-NHC)
|
||||||
rownames(clinics.mod)<-rnames
|
rownames(clinics.mod)<-rnames
|
||||||
|
|
||||||
### !! Atención, esto cambia la base de datos:
|
### !! Atención, esto cambia la base de datos:
|
||||||
print(clinics.mod)
|
print(clinics.mod)
|
||||||
fechas<-colnames(clinics.mod)[sqlFetch(dta, "CLINICS") %>% sapply(lubridate::is.POSIXct)]
|
fechas<-colnames(clinics.mod)[sqlFetch(dta, "CLINICS", as.is=T) %>% sapply(lubridate::is.POSIXct)]
|
||||||
for (i in fechas){
|
for (i in fechas){
|
||||||
clinics.mod[,i]<-lubridate::parse_date_time(clinics.mod[,i], c("d/m/Y","d/m/y","Y-m-d")) %>% as.Date()
|
clinics.mod[,i]<-lubridate::parse_date_time(clinics.mod[,i], c("d/m/Y","d/m/y","Y-m-d")) %>% as.Date()
|
||||||
}
|
}
|
||||||
@@ -567,13 +567,13 @@ server <- function(input, output) {
|
|||||||
print("Tabla CLINICS modificada.")
|
print("Tabla CLINICS modificada.")
|
||||||
|
|
||||||
## Nuevas entradas en CLINICOS
|
## Nuevas entradas en CLINICOS
|
||||||
nsamples.clin<-sqlFetch(dta, "CLINICS") %>% nrow
|
nsamples.clin<-sqlFetch(dta, "CLINICS", as.is=T) %>% nrow
|
||||||
umid.new<-upd.clinics$OVID[!upd.clinics$OVID %in% (sqlFetch(dta, "CLINICS") %>% pull(OVID))]
|
umid.new<-upd.clinics$OVID[!upd.clinics$OVID %in% (sqlFetch(dta, "CLINICS", as.is=T) %>% pull(OVID))]
|
||||||
clinics.new<-upd.clinics %>% filter(OVID %in% umid.new) %>% select(-NHC)
|
clinics.new<-upd.clinics %>% filter(OVID %in% umid.new) %>% select(-NHC)
|
||||||
if (length(umid.new) > 0){rownames(clinics.new)<-(nsamples.clin+1):(nsamples.clin+nrow(clinics.new)) %>% as.character}
|
if (length(umid.new) > 0){rownames(clinics.new)<-(nsamples.clin+1):(nsamples.clin+nrow(clinics.new)) %>% as.character}
|
||||||
|
|
||||||
### !! Atención, esto cambia la base de datos:
|
### !! Atención, esto cambia la base de datos:
|
||||||
fechas<-colnames(clinics.new)[sqlFetch(dta, "CLINICS") %>% sapply(lubridate::is.POSIXct)]
|
fechas<-colnames(clinics.new)[sqlFetch(dta, "CLINICS", as.is=T) %>% sapply(lubridate::is.POSIXct)]
|
||||||
for (i in fechas){
|
for (i in fechas){
|
||||||
clinics.new[,i]<-lubridate::parse_date_time(clinics.new[,i], c("d/m/Y","d/m/y","Y-m-d")) %>% as.Date()
|
clinics.new[,i]<-lubridate::parse_date_time(clinics.new[,i], c("d/m/Y","d/m/y","Y-m-d")) %>% as.Date()
|
||||||
}
|
}
|
||||||
@@ -601,8 +601,8 @@ server <- function(input, output) {
|
|||||||
|
|
||||||
## Entradas modificadas en CLINICOS
|
## Entradas modificadas en CLINICOS
|
||||||
upd.clinics<-values[["CLINICS"]]
|
upd.clinics<-values[["CLINICS"]]
|
||||||
PATID.mod<-upd.clinics$PATID[upd.clinics$PATID %in% (sqlFetch(dta, "CLINICOS") %>% pull(PATID))]
|
PATID.mod<-upd.clinics$PATID[upd.clinics$PATID %in% (sqlFetch(dta, "CLINICOS", as.is=T) %>% pull(PATID))]
|
||||||
rnames<-sqlFetch(dta, "CLINICOS") %>% filter(PATID %in% PATID.mod) %>% rownames
|
rnames<-sqlFetch(dta, "CLINICOS", as.is=T) %>% filter(PATID %in% PATID.mod) %>% rownames
|
||||||
clinics.mod<-upd.clinics %>% filter(PATID %in% PATID.mod) %>% select(-NHC)
|
clinics.mod<-upd.clinics %>% filter(PATID %in% PATID.mod) %>% select(-NHC)
|
||||||
rownames(clinics.mod)<-rnames
|
rownames(clinics.mod)<-rnames
|
||||||
|
|
||||||
@@ -615,8 +615,8 @@ server <- function(input, output) {
|
|||||||
print("Tabla CLINICOS modificada.")
|
print("Tabla CLINICOS modificada.")
|
||||||
|
|
||||||
## Nuevas entradas en CLINICOS
|
## Nuevas entradas en CLINICOS
|
||||||
nsamples.clin<-sqlFetch(dta, "CLINICOS") %>% nrow
|
nsamples.clin<-sqlFetch(dta, "CLINICOS", as.is=T) %>% nrow
|
||||||
PATID.new<-upd.clinics$PATID[!upd.clinics$PATID %in% (sqlFetch(dta, "CLINICOS") %>% pull(PATID))]
|
PATID.new<-upd.clinics$PATID[!upd.clinics$PATID %in% (sqlFetch(dta, "CLINICOS", as.is=T) %>% pull(PATID))]
|
||||||
clinics.new<-upd.clinics %>% filter(PATID %in% PATID.new) %>% select(-NHC)
|
clinics.new<-upd.clinics %>% filter(PATID %in% PATID.new) %>% select(-NHC)
|
||||||
if (length(PATID.new) > 0){rownames(clinics.new)<-(nsamples.clin+1):(nsamples.clin+nrow(clinics.new)) %>% as.character}
|
if (length(PATID.new) > 0){rownames(clinics.new)<-(nsamples.clin+1):(nsamples.clin+nrow(clinics.new)) %>% as.character}
|
||||||
|
|
||||||
@@ -633,7 +633,7 @@ server <- function(input, output) {
|
|||||||
## Nuevas entradas en CNAG
|
## Nuevas entradas en CNAG
|
||||||
if (nrow(values[["cnag"]]) > 0){
|
if (nrow(values[["cnag"]]) > 0){
|
||||||
cnag.sync<-values[["cnag"]]
|
cnag.sync<-values[["cnag"]]
|
||||||
fechas<-colnames(cnag.sync)[sqlFetch(dta, "CNAG") %>% sapply(lubridate::is.POSIXct)]
|
fechas<-colnames(cnag.sync)[sqlFetch(dta, "CNAG", as.is=T) %>% sapply(lubridate::is.POSIXct)]
|
||||||
varTypes<-rep("Date",length(fechas))
|
varTypes<-rep("Date",length(fechas))
|
||||||
names(varTypes)<-fechas
|
names(varTypes)<-fechas
|
||||||
print(fechas)
|
print(fechas)
|
||||||
@@ -646,7 +646,7 @@ server <- function(input, output) {
|
|||||||
## Nuevas entradas en RNADNA
|
## Nuevas entradas en RNADNA
|
||||||
if (nrow(values[["rna"]]) > 0){
|
if (nrow(values[["rna"]]) > 0){
|
||||||
rna.sync<-values[["rna"]]
|
rna.sync<-values[["rna"]]
|
||||||
fechas<-colnames(rna.sync)[sqlFetch(dta, "RNADNA") %>% sapply(lubridate::is.POSIXct)]
|
fechas<-colnames(rna.sync)[sqlFetch(dta, "RNADNA", as.is=T) %>% sapply(lubridate::is.POSIXct)]
|
||||||
varTypes<-rep("Date",length(fechas))
|
varTypes<-rep("Date",length(fechas))
|
||||||
names(varTypes)<-fechas
|
names(varTypes)<-fechas
|
||||||
for (i in fechas){
|
for (i in fechas){
|
||||||
|
|||||||
+6
-4
@@ -15,7 +15,7 @@ sqlLastDrop<-function(conn, tablename, droplast=1,dbtype=NULL){
|
|||||||
|
|
||||||
|
|
||||||
sqlInitialize<-function(ruta="ruta_database.R"){
|
sqlInitialize<-function(ruta="ruta_database.R"){
|
||||||
library(tidyverse)
|
# library(tidyverse)
|
||||||
library(RODBC)
|
library(RODBC)
|
||||||
library(openxlsx)
|
library(openxlsx)
|
||||||
|
|
||||||
@@ -24,10 +24,12 @@ sqlInitialize<-function(ruta="ruta_database.R"){
|
|||||||
}
|
}
|
||||||
|
|
||||||
sqlBackUp<-function(dbfile=file,conn=dta,bu.dir=NULL){
|
sqlBackUp<-function(dbfile=file,conn=dta,bu.dir=NULL){
|
||||||
|
print(dbfile)
|
||||||
if(sqlTables(conn) %>% filter(TABLE_NAME == "UMID") %>% nrow > 0){bu.dir<-"BU_UM"}
|
if(sqlTables(conn) %>% filter(TABLE_NAME == "UMID") %>% nrow > 0){bu.dir<-"BU_UM"}
|
||||||
if(sqlTables(conn) %>% filter(TABLE_NAME == "OVID") %>% nrow > 0){bu.dir<-"BU_OVARIO"}
|
if(sqlTables(conn) %>% filter(TABLE_NAME == "OVID") %>% nrow > 0){bu.dir<-"BU_OVARIO"}
|
||||||
|
|
||||||
db=strsplit(dbfile, "/")[[1]]%>% tail(n=1)
|
db=tail(strsplit(dbfile, "/")[[1]], n=1)
|
||||||
|
print(db)
|
||||||
bu_path<-gsub(db,bu.dir,dbfile)
|
bu_path<-gsub(db,bu.dir,dbfile)
|
||||||
if (!dir.exists(bu_path)){
|
if (!dir.exists(bu_path)){
|
||||||
dir.create(bu_path)
|
dir.create(bu_path)
|
||||||
@@ -75,7 +77,7 @@ sqlGenOVID<-function(conn=dta, nhcs=nhc.test, verb=T, sinc=F, dbtype=NULL){
|
|||||||
db<-c("dbcode"="PATID", "dbpref"="CCID")
|
db<-c("dbcode"="PATID", "dbpref"="CCID")
|
||||||
}
|
}
|
||||||
|
|
||||||
dbid<-sqlFetch(conn,db["dbcode"])
|
dbid<-sqlFetch(conn,db["dbcode"], as.is=T)
|
||||||
new.nhc<-nhcs[!nhcs %in% dbid$NHC] %>% unique()
|
new.nhc<-nhcs[!nhcs %in% dbid$NHC] %>% unique()
|
||||||
|
|
||||||
if(length(new.nhc) > 0){
|
if(length(new.nhc) > 0){
|
||||||
@@ -91,7 +93,7 @@ sqlGenOVID<-function(conn=dta, nhcs=nhc.test, verb=T, sinc=F, dbtype=NULL){
|
|||||||
if(dbtype=="UM"){
|
if(dbtype=="UM"){
|
||||||
dbid<-merge(dbid, newtab, all=T) %>% select(NHC,UMID) %>% arrange(UMID)
|
dbid<-merge(dbid, newtab, all=T) %>% select(NHC,UMID) %>% arrange(UMID)
|
||||||
# dbid$Id<-as.numeric(rownames(dbid))
|
# dbid$Id<-as.numeric(rownames(dbid))
|
||||||
dbid$NHC<-as.numeric(dbid$NHC)
|
# dbid$NHC<-dbid$NHC
|
||||||
}
|
}
|
||||||
if (dbtype=="CC"){
|
if (dbtype=="CC"){
|
||||||
dbid<-merge(dbid, newtab, all=T) %>% select(NHC,PATID) %>% arrange(PATID)
|
dbid<-merge(dbid, newtab, all=T) %>% select(NHC,PATID) %>% arrange(PATID)
|
||||||
|
|||||||
Reference in New Issue
Block a user