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81 lines
3.2 KiB
81 lines
3.2 KiB
#############
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## Script para añadir nuevas muestras a la base de datos de Ovario
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#############
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library(tidyverse)
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library(RODBC)
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library(openxlsx)
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## Llamar funciones sql
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source("sqlFunctions.R")
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## Conexión a la base de datos
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source("ruta_database.R", encoding = "UTF-8")
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dta<-odbcConnectAccess2007(access.file = file,
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pwd = .rs.askForPassword("Enter password:"))
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## Importamos los NHC de las muestras nuevas
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nhc.test<-read.xlsx("queryOV.xlsx", sheet = "NHC") %>% pull(NHC)
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## Mostramos si ya hay muestras del mismo paciente
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sqlQuery(dta, "SELECT O.NHC,S.*
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FROM SAMPLES S
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INNER JOIN OVID O
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ON O.OVID=S.OVID") %>% filter(NHC %in% nhc.test) %>%
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group_by(NHC,OVID) %>% summarise(Samples=length(samples), Names=paste0(samples, collapse = ";")) %>% merge(data.frame(NHC=nhc.test),all=T)
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## Versión más extensa
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sqlQuery(dta, "SELECT O.NHC,S.*
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FROM SAMPLES S
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INNER JOIN OVID O
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ON O.OVID=S.OVID") %>% filter(NHC %in% nhc.test)
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## Generar OVIDs para nuevos NHC
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ovid<-sqlFetch(dta,"OVID")
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new.nhc<-nhc.test[!nhc.test %in% ovid$NHC]
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next.num<-gsub("OVID","",ovid$OVID) %>% as.numeric %>% max(na.rm=T)+1
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last.num<-next.num+(length(new.nhc)-1)
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upd.ovid<-rbind(ovid,data.frame("NHC"=new.nhc, "OVID"=sprintf("OVID%04d",next.num:last.num)))
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rownames(upd.ovid)<-as.character(1:nrow(upd.ovid))
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upd.ovid<-filter(upd.ovid, NHC %in% new.nhc) %>% mutate(NHC=as.character(NHC))
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### !! Atención, esto cambia la base de datos:
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sqlSave(dta, upd.ovid, tablename="OVID", append = T)
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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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last.samp<-next.samp+(length(nhc.test)-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<-merge(sqlFetch(dta,"OVID") %>% merge(data.frame("NHC"=nhc.test)), data.frame("NHC"=nhc.test, "samples"=new.samp))
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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[is.na(samples.exp)]<-""
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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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ovid.new<-sqlFetch(dta, "OVID") %>% filter(NHC %in% nhc.test)
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upd.clinics<-merge(ovid.new,upd.clinics, all.x=T)
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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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## Exportar tablas a la plantilla de entrada para su rellenado
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wb <- loadWorkbook("queryOV.xlsx")
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writeData(wb, "NHC", upd.ovid)
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writeData(wb,"samples",samples.exp)
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writeData(wb,"CLINICS",upd.clinics)
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saveWorkbook(wb,"queryOV.xlsx",overwrite = TRUE)
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## Añadir código de muestra nueva a la base de datos
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nsamples<-sqlFetch(dta, "SAMPLES") %>% nrow
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upd.samples<-read.xlsx("QuerySamplesOV.xlsx")
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rownames(upd.samples)<-(nsamples+1):(nsamples+nrow(upd.samples)) %>% as.character
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### !! Atención, esto cambia la base de datos:
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sqlSave(dta, upd.samples, tablename="SAMPLES", append = T)
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