Soporte para base de datos OVID.
This commit is contained in:
Costa
+222
-124
@@ -2,7 +2,6 @@ library(shiny)
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library(rhandsontable)
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print(getwd())
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print(file)
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source("../sqlFunctions.R", encoding = "UTF-8")
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DF<-data.frame("NHC"="","Samples"="")
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@@ -28,7 +27,7 @@ ui <- fluidPage(
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hr(),
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fileInput(inputId = "file_query", label = "Plantilla", multiple = F),
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actionButton("impNHC", "Importa NHC"),
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actionButton("goButton", "Genera UMID"),
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actionButton("goButton", "Genera CodiID"),
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hr(),
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actionButton("filltemplate", "Plantilla"),
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hr(),
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@@ -59,8 +58,17 @@ server <- function(input, output) {
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values[["Excel"]]<-""
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observeEvent(input$butdbtype, {
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dta<<-odbcConnectAccess2007(access.file = file,
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pwd = .rs.askForPassword("Enter password:"))
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print(UMfile)
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print(OVfile)
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if (input$dbtype == "UM"){
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dta<<-odbcConnectAccess2007(access.file = UMfile,
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pwd = .rs.askForPassword("Enter password:"))
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}
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if (input$dbtype == "OV"){
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dta<<-odbcConnectAccess2007(access.file = OVfile,
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pwd = .rs.askForPassword("Enter password:"))
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}
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print(dta)
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if (input$backup == T){
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sqlBackUp()
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@@ -86,7 +94,7 @@ server <- function(input, output) {
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observeEvent(input$impNHC, {
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values[["DF"]]$NHC<-values[["Excel"]]
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})
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## Handsontable
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observe({
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if (!is.null(input$hot)) {
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@@ -109,7 +117,6 @@ server <- function(input, output) {
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})
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observe({
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print(1)
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if (!is.null(input$samples)) {
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samples = hot_to_r(input$samples)
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} else {
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@@ -190,145 +197,236 @@ server <- function(input, output) {
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})
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observeEvent(input$goButton, {
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print(dta)
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sqlGenOVID(nhcs = values[["DF"]]$NHC, sinc=T)
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values[["DF"]]<-merge(values[["DF"]], sqlFetch(dta, "UMID"))
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sqlGenOVID(dta, nhcs = values[["DF"]]$NHC, sinc=T)
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if (input$dbtype == "UM"){
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values[["DF"]]<-merge(values[["DF"]], sqlFetch(dta, "UMID"))
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}
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if (input$dbtype == "OV"){
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values[["DF"]]<-merge(values[["DF"]], sqlFetch(dta, "OVID"))
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}
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print(values[["DF"]])
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})
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observeEvent(input$filltemplate,{
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today=T
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upd.umid<-sqlFetch(dta, "UMID") %>% filter(NHC %in% values[["DF"]]$NHC)
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## Generar código para las nuevas muestras
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samples<-sqlFetch(dta, "MUESTRAS")
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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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}else{
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next.samp<-1
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}
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last.samp<-next.samp+(length(values[["DF"]]$NHC)-1)
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new.samp<-sprintf("UM%s%02d",Sys.time() %>% format("%y"),next.samp:last.samp)
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new.samp.df<-data.frame("NHC"=values[["DF"]]$NHC, "CODIGO"=new.samp) %>% merge(sqlFetch(dta,"UMID"), 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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if (today==TRUE){
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samples.exp$FECHA_RECEPCION<-format(Sys.Date(), "%d/%m/%y")
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}
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nhc.table<-values[["DF"]]
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if (any(sapply(nhc.table$Samples, function(x) "cnag" %in% strsplit(x,",")[[1]]) == T)){
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nhcs.cnag<-nhc.table[sapply(nhc.table$Samples, function(x) "cnag" %in% strsplit(x,",")[[1]]),"NHC"]
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umid.cnag<-sqlFetch(dta, "UMID") %>% filter(NHC %in% nhcs.cnag) %>% pull(UMID)
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sample.cnag<-samples.exp %>% filter(UMID %in% umid.cnag) %>% pull(CODIGO)
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cnag.exp<-merge(data.frame("UMID"=umid.cnag, "CODIGO"=sample.cnag), sqlFetch(dta, "CNAG") %>% slice(0), all=T)
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if (input$dbtype == "UM"){
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upd.umid<-sqlFetch(dta, "UMID") %>% filter(NHC %in% values[["DF"]]$NHC)
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## Generar código para las nuevas muestras
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samples<-sqlFetch(dta, "MUESTRAS")
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if(sum(grepl(paste0("UM",Sys.time() %>% format("%y")), samples$CODIGO)) > 0){
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next.samp<-gsub(paste0("UM",Sys.time() %>% format("%y")),"", samples$CODIGO) %>% as.numeric %>% max(na.rm=T)+1
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}else{
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next.samp<-1
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}
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last.samp<-next.samp+(length(values[["DF"]]$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.df<-data.frame("NHC"=values[["DF"]]$NHC, "CODIGO"=new.samp) %>% merge(sqlFetch(dta,"UMID"), all.x=T) %>% arrange(CODIGO)
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samples.exp<-merge(samples %>% slice(0), new.samp.df %>% select(-NHC), all=T) %>% select(colnames(samples)) %>% arrange(CODIGO)
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if (today==TRUE){
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cnag.exp$FECHA_ENVIO<-format(Sys.Date(), "%d/%m/%y")
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samples.exp$FECHA_RECEPCION<-format(Sys.Date(), "%d/%m/%y")
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}
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}else{
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cnag.exp<-sqlFetch(dta, "CNAG") %>% slice(0) %>%
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mutate(across(lubridate::is.POSIXct, as.character))
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nhc.table<-values[["DF"]]
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if (any(sapply(nhc.table$Samples, function(x) "cnag" %in% strsplit(x,",")[[1]]) == T)){
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nhcs.cnag<-nhc.table[sapply(nhc.table$Samples, function(x) "cnag" %in% strsplit(x,",")[[1]]),"NHC"]
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umid.cnag<-sqlFetch(dta, "UMID") %>% filter(NHC %in% nhcs.cnag) %>% pull(UMID)
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sample.cnag<-samples.exp %>% filter(UMID %in% umid.cnag) %>% pull(CODIGO)
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cnag.exp<-merge(data.frame("UMID"=umid.cnag, "CODIGO"=sample.cnag), sqlFetch(dta, "CNAG") %>% slice(0), all=T)
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if (today==TRUE){
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cnag.exp$FECHA_ENVIO<-format(Sys.Date(), "%d/%m/%y")
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}
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}else{
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cnag.exp<-sqlFetch(dta, "CNAG") %>% slice(0) %>%
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mutate(across(lubridate::is.POSIXct, as.character))
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}
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if (any(sapply(nhc.table$Samples, function(x) "rna" %in% strsplit(x,",")[[1]]) == T)){
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nhcs.rna<-nhc.table[sapply(nhc.table$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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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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mutate(across(lubridate::is.POSIXct, as.character)), all=T)
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}else{
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rna.exp<-sqlFetch(dta, "RNADNA") %>% slice(0) %>%
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mutate(across(lubridate::is.POSIXct, as.character))
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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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upd.clinics<-sqlFetch(dta, "CLINICOS")
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umid.new<-sqlFetch(dta, "UMID") %>% filter(NHC %in% values[["DF"]]$NHC)
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upd.clinics<-merge(umid.new,upd.clinics, all.x=T, by="UMID")
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upd.clinics$NHC<-as.character(upd.clinics$NHC)
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for (i in colnames(upd.clinics)[sapply(upd.clinics, lubridate::is.POSIXct)]){upd.clinics[,i]<-as.Date(upd.clinics[,i])}
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values[["samples"]]<-samples.exp
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values[["CLINICS"]]<-upd.clinics
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values[["cnag"]]<-cnag.exp
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values[["rna"]]<-rna.exp
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}
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if (input$dbtype == "OV"){
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upd.umid<-sqlFetch(dta, "OVID") %>% filter(NHC %in% values[["DF"]]$NHC)
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## Generar código para las nuevas muestras
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samples<-sqlFetch(dta, "SAMPLES")
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if(sum(grepl(paste0("OV",Sys.time() %>% format("%y")), samples$samples)) > 0){
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next.samp<-gsub(paste0("OV",Sys.time() %>% format("%y")),"", samples$samples) %>% as.numeric %>% max(na.rm=T)+1
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}else{
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next.samp<-1
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}
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if (any(sapply(nhc.table$Samples, function(x) "rna" %in% strsplit(x,",")[[1]]) == T)){
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nhcs.rna<-nhc.table[sapply(nhc.table$Samples, function(x) "rna" %in% strsplit(x,",")[[1]]),"NHC"]
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umid.rna<-sqlFetch(dta, "UMID") %>% filter(NHC %in% nhcs.rna) %>% pull(UMID)
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sample.rna<-samples.exp %>% filter(UMID %in% umid.rna) %>% pull(CODIGO)
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rna.exp<-merge(data.frame("UMID"=umid.rna, "CODIGO"=sample.rna), sqlFetch(dta, "RNADNA") %>% slice(0)%>%
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mutate(across(lubridate::is.POSIXct, as.character)), all=T)
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}else{
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rna.exp<-sqlFetch(dta, "RNADNA") %>% slice(0) %>%
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mutate(across(lubridate::is.POSIXct, as.character))
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last.samp<-next.samp+(length(values[["DF"]]$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.df<-data.frame("NHC"=values[["DF"]]$NHC, "samples"=new.samp) %>% merge(sqlFetch(dta,"OVID"), all.x=T) %>% arrange(samples)
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samples.exp<-merge(samples %>% slice(0), new.samp.df %>% select(-NHC), all=T) %>% select(colnames(samples)) %>% arrange(samples)
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if (today==TRUE){
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samples.exp$IQ_date<-format(Sys.Date(), "%d/%m/%y")
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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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upd.clinics<-sqlFetch(dta, "CLINICOS")
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umid.new<-sqlFetch(dta, "UMID") %>% filter(NHC %in% values[["DF"]]$NHC)
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upd.clinics<-merge(umid.new,upd.clinics, all.x=T, by="UMID")
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upd.clinics$NHC<-as.character(upd.clinics$NHC)
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for (i in colnames(upd.clinics)[sapply(upd.clinics, lubridate::is.POSIXct)]){upd.clinics[,i]<-as.Date(upd.clinics[,i])}
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values[["samples"]]<-samples.exp
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values[["CLINICS"]]<-upd.clinics
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values[["cnag"]]<-cnag.exp
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values[["rna"]]<-rna.exp
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print(values[["rna"]] %>% sapply(class))
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nhc.table<-values[["DF"]]
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## Importar los datos clínicos de pacientes existentes y generar nueva entrada par los nuevos
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upd.clinics<-sqlFetch(dta, "CLINICS")
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umid.new<-sqlFetch(dta, "OVID") %>% filter(NHC %in% values[["DF"]]$NHC)
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upd.clinics<-merge(umid.new,upd.clinics, all.x=T, by="OVID")
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upd.clinics$NHC<-as.character(upd.clinics$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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values[["samples"]]<-samples.exp %>% mutate(across(lubridate::is.POSIXct, as.character))
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values[["CLINICS"]]<-upd.clinics %>% mutate(across(lubridate::is.POSIXct, as.character))
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}
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})
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observeEvent(input$synctemplate,{
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if (input$dbtype == "UM"){
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# conn=dta, filetemp="queryOV.xlsx", sinc.samples=F, sinc.clinics=F, dbtype=NULL
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## Nuevas entradas en MUESTRAS
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nsamples<-values[["samples"]] %>% nrow
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upd.samples<-values[["samples"]]
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if (nrow(upd.samples) > 0){rownames(upd.samples)<-(nsamples+1):(nsamples+nrow(upd.samples)) %>% as.character}
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if (nrow(upd.samples) > 0){
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upd.samples$FECHA_RECEPCION<-lubridate::parse_date_time(upd.samples$FECHA_RECEPCION, c("d/m/Y","d/m/y")) %>% as.Date()
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upd.samples$TIPO<-as.character(upd.samples$TIPO)
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upd.samples$OBS<-as.character(upd.samples$OBS)
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### !! Atención, esto cambia la base de datos:
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sqlSave(dta, upd.samples, tablename="MUESTRAS", append = T, varTypes = c("FECHA_RECEPCION"="Date"), rownames = F)
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print("Tabla MUESTRAS sincronizada.")
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}
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# conn=dta, filetemp="queryOV.xlsx", sinc.samples=F, sinc.clinics=F, dbtype=NULL
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## Nuevas entradas en MUESTRAS
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nsamples<-values[["samples"]] %>% nrow
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upd.samples<-values[["samples"]]
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if (nrow(upd.samples) > 0){rownames(upd.samples)<-(nsamples+1):(nsamples+nrow(upd.samples)) %>% as.character}
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if (nrow(upd.samples) > 0){
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upd.samples$FECHA_RECEPCION<-lubridate::parse_date_time(upd.samples$FECHA_RECEPCION, c("d/m/Y","d/m/y")) %>% as.Date()
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upd.samples$TIPO<-as.character(upd.samples$TIPO)
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upd.samples$OBS<-as.character(upd.samples$OBS)
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## Entradas modificadas en CLINICOS
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upd.clinics<-values[["CLINICS"]]
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umid.mod<-upd.clinics$UMID[upd.clinics$UMID %in% (sqlFetch(dta, "CLINICOS") %>% pull(UMID))]
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rnames<-sqlFetch(dta, "CLINICOS") %>% filter(UMID %in% umid.mod) %>% rownames
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clinics.mod<-upd.clinics %>% filter(UMID %in% umid.mod) %>% select(-NHC)
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rownames(clinics.mod)<-rnames
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### !! Atención, esto cambia la base de datos:
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print(upd.samples)
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sqlSave(dta, upd.samples, tablename="MUESTRAS", append = T, varTypes = c("FECHA_RECEPCION"="Date"), rownames = F)
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print("Tabla MUESTRAS sincronizada.")
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}
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## Entradas modificadas en CLINICOS
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upd.clinics<-values[["CLINICS"]]
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umid.mod<-upd.clinics$UMID[upd.clinics$UMID %in% (sqlFetch(dta, "CLINICOS") %>% pull(UMID))]
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rnames<-sqlFetch(dta, "CLINICOS") %>% filter(UMID %in% umid.mod) %>% rownames
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clinics.mod<-upd.clinics %>% filter(UMID %in% umid.mod) %>% select(-NHC)
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rownames(clinics.mod)<-rnames
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### !! Atención, esto cambia la base de datos:
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fechas<-colnames(clinics.mod)[grepl("date|MET_DX|DoB", colnames(clinics.mod), ignore.case = T)]
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for (i in fechas){
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clinics.mod[,i]<-lubridate::parse_date_time(clinics.mod[,i], c("d/m/Y","d/m/y")) %>% as.Date()
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}
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sqlUpdate(dta, clinics.mod,"CLINICOS", index="UMID")
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print("Tabla CLINICOS modificada.")
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## Nuevas entradas en CLINICOS
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nsamples.clin<-sqlFetch(dta, "CLINICOS") %>% nrow
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umid.new<-upd.clinics$UMID[!upd.clinics$UMID %in% (sqlFetch(dta, "CLINICOS") %>% pull(UMID))]
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clinics.new<-upd.clinics %>% filter(UMID %in% umid.new) %>% select(-NHC)
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if (length(umid.new) > 0){rownames(clinics.new)<-(nsamples.clin+1):(nsamples.clin+nrow(clinics.new)) %>% as.character}
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### !! Atención, esto cambia la base de datos:
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fechas<-colnames(clinics.new)[grepl("date|MET_DX|DoB", colnames(clinics.new), ignore.case = T)]
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varTypes<-rep("Date",length(fechas))
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names(varTypes)<-fechas
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for (i in fechas){
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clinics.new[,i]<-lubridate::parse_date_time(clinics.new[,i], c("d/m/Y","d/m/y")) %>% as.Date()
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}
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sqlSave(dta, clinics.new, tablename="CLINICOS", append = T, varTypes = varTypes, rownames = F)
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print("Tabla CLINICOS sincronizada.")
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## Nuevas entradas en CNAG
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if (nrow(values[["cnag"]]) > 0){
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cnag.sync<-values[["cnag"]]
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fechas<-colnames(cnag.sync)[sqlFetch(dta, "CNAG") %>% sapply(lubridate::is.POSIXct)]
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varTypes<-rep("Date",length(fechas))
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names(varTypes)<-fechas
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print(fechas)
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fechas<-colnames(clinics.mod)[grepl("date|MET_DX|DoB", colnames(clinics.mod), ignore.case = T)]
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for (i in fechas){
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cnag.sync[,i]<-lubridate::parse_date_time(cnag.sync[,i], c("d/m/Y","d/m/y")) %>% as.Date()
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clinics.mod[,i]<-lubridate::parse_date_time(clinics.mod[,i], c("d/m/Y","d/m/y")) %>% as.Date()
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}
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sqlSave(dta, cnag.sync, tablename="CNAG", append = T, varTypes = varTypes, rownames = F)
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}
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## Nuevas entradas en RNADNA
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if (nrow(values[["rna"]]) > 0){
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rna.sync<-values[["rna"]]
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fechas<-colnames(rna.sync)[sqlFetch(dta, "RNADNA") %>% sapply(lubridate::is.POSIXct)]
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sqlUpdate(dta, clinics.mod,"CLINICOS", index="UMID")
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print("Tabla CLINICOS modificada.")
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## Nuevas entradas en CLINICOS
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nsamples.clin<-sqlFetch(dta, "CLINICOS") %>% nrow
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umid.new<-upd.clinics$UMID[!upd.clinics$UMID %in% (sqlFetch(dta, "CLINICOS") %>% pull(UMID))]
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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}
|
||||
|
||||
### !! Atención, esto cambia la base de datos:
|
||||
fechas<-colnames(clinics.new)[grepl("date|MET_DX|DoB", colnames(clinics.new), ignore.case = T)]
|
||||
varTypes<-rep("Date",length(fechas))
|
||||
names(varTypes)<-fechas
|
||||
for (i in fechas){
|
||||
rna.sync[,i]<-lubridate::parse_date_time(rna.sync[,i], c("d/m/Y","d/m/y")) %>% as.Date()
|
||||
clinics.new[,i]<-lubridate::parse_date_time(clinics.new[,i], c("d/m/Y","d/m/y","Y-m-d")) %>% as.Date()
|
||||
}
|
||||
sqlSave(dta, rna.sync, tablename="RNADNA", append = T, varTypes = varTypes, rownames = F)
|
||||
sqlSave(dta, clinics.new, tablename="CLINICOS", append = T, varTypes = varTypes, rownames = F)
|
||||
print("Tabla CLINICOS sincronizada.")
|
||||
|
||||
## Nuevas entradas en CNAG
|
||||
if (nrow(values[["cnag"]]) > 0){
|
||||
cnag.sync<-values[["cnag"]]
|
||||
fechas<-colnames(cnag.sync)[sqlFetch(dta, "CNAG") %>% sapply(lubridate::is.POSIXct)]
|
||||
varTypes<-rep("Date",length(fechas))
|
||||
names(varTypes)<-fechas
|
||||
print(fechas)
|
||||
for (i in fechas){
|
||||
cnag.sync[,i]<-lubridate::parse_date_time(cnag.sync[,i], c("d/m/Y","d/m/y","Y-m-d")) %>% as.Date()
|
||||
}
|
||||
sqlSave(dta, cnag.sync, tablename="CNAG", append = T, varTypes = varTypes, rownames = F)
|
||||
}
|
||||
|
||||
## Nuevas entradas en RNADNA
|
||||
if (nrow(values[["rna"]]) > 0){
|
||||
rna.sync<-values[["rna"]]
|
||||
fechas<-colnames(rna.sync)[sqlFetch(dta, "RNADNA") %>% sapply(lubridate::is.POSIXct)]
|
||||
varTypes<-rep("Date",length(fechas))
|
||||
names(varTypes)<-fechas
|
||||
for (i in fechas){
|
||||
rna.sync[,i]<-lubridate::parse_date_time(rna.sync[,i], c("d/m/Y","d/m/y","Y-m-d")) %>% as.Date()
|
||||
}
|
||||
sqlSave(dta, rna.sync, tablename="RNADNA", append = T, varTypes = varTypes, rownames = F)
|
||||
}
|
||||
}
|
||||
if (input$dbtype == "OV"){
|
||||
## Nuevas entradas en SAMPLES
|
||||
nsamples<-values[["samples"]] %>% nrow
|
||||
upd.samples<-values[["samples"]]
|
||||
if (nrow(upd.samples) > 0){rownames(upd.samples)<-(nsamples+1):(nsamples+nrow(upd.samples)) %>% as.character}
|
||||
|
||||
if (nrow(upd.samples) > 0){
|
||||
fechas<-colnames(upd.samples)[sqlFetch(dta, "SAMPLES") %>% sapply(lubridate::is.POSIXct)]
|
||||
for (i in fechas){
|
||||
upd.samples[,i]<-lubridate::parse_date_time(upd.samples[,i], c("d/m/Y","d/m/y","Y-m-d")) %>% as.Date()
|
||||
}
|
||||
varTypes<-rep("Date",length(fechas))
|
||||
names(varTypes)<-fechas
|
||||
# upd.samples$TIPO<-as.character(upd.samples$TIPO)
|
||||
# upd.samples$OBS<-as.character(upd.samples$OBS)
|
||||
### !! Atención, esto cambia la base de datos:
|
||||
sqlSave(dta, upd.samples, tablename="SAMPLES", append = T, varTypes = varTypes, rownames = F)
|
||||
print("Tabla SAMPLES sincronizada.")
|
||||
}
|
||||
|
||||
## Entradas modificadas en CLINICOS
|
||||
upd.clinics<-values[["CLINICS"]]
|
||||
umid.mod<-upd.clinics$OVID[upd.clinics$OVID %in% (sqlFetch(dta, "CLINICS") %>% pull(OVID))]
|
||||
rnames<-sqlFetch(dta, "CLINICS") %>% filter(OVID %in% umid.mod) %>% rownames
|
||||
clinics.mod<-upd.clinics %>% filter(OVID %in% umid.mod) %>% select(-NHC)
|
||||
rownames(clinics.mod)<-rnames
|
||||
|
||||
### !! Atención, esto cambia la base de datos:
|
||||
print(clinics.mod)
|
||||
fechas<-colnames(clinics.mod)[sqlFetch(dta, "CLINICS") %>% sapply(lubridate::is.POSIXct)]
|
||||
for (i in fechas){
|
||||
clinics.mod[,i]<-lubridate::parse_date_time(clinics.mod[,i], c("d/m/Y","d/m/y","Y-m-d")) %>% as.Date()
|
||||
}
|
||||
varTypes<-rep("Date",length(fechas))
|
||||
names(varTypes)<-fechas
|
||||
print(clinics.mod)
|
||||
sqlUpdate(dta, clinics.mod,"CLINICS", index="OVID")
|
||||
print("Tabla CLINICS modificada.")
|
||||
|
||||
## Nuevas entradas en CLINICOS
|
||||
nsamples.clin<-sqlFetch(dta, "CLINICS") %>% nrow
|
||||
umid.new<-upd.clinics$OVID[!upd.clinics$OVID %in% (sqlFetch(dta, "CLINICS") %>% pull(OVID))]
|
||||
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}
|
||||
|
||||
### !! Atención, esto cambia la base de datos:
|
||||
fechas<-colnames(clinics.new)[sqlFetch(dta, "CLINICS") %>% sapply(lubridate::is.POSIXct)]
|
||||
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()
|
||||
}
|
||||
varTypes<-rep("Date",length(fechas))
|
||||
names(varTypes)<-fechas
|
||||
print(varTypes)
|
||||
print(clinics.new)
|
||||
sqlSave(dta, clinics.new, tablename="CLINICS", append = T, varTypes = varTypes, rownames = F)
|
||||
print("Tabla CLINICS sincronizada.")
|
||||
}
|
||||
})
|
||||
|
||||
|
||||
Reference in New Issue
Block a user