BDAccess/sqlFunctions.R

require(RODBC)

sqlDropLast<-function(conn, tablename, droplast=1){
  table<-sqlFetch(conn, tablename)
  table<-table[1:(nrow(table)-droplast),]
  sqlSave(conn, table, tablename = tablename, safer = F)
}

sqlInitialize<-function(){
  library(tidyverse)
  library(RODBC)
  library(openxlsx)
  
  ## Conexión a la base de datos
  source("ruta_database.R", encoding = "UTF-8")
}

sqlShowSamples<-function(conn=dta, nhcs=nhc.test, verb=F){
  if (isFALSE(verb)){
    sqlQuery(conn, "SELECT O.NHC,S.* 
         FROM SAMPLES S 
         INNER JOIN OVID O 
         ON O.OVID=S.OVID") %>% filter(NHC %in% nhcs) %>% 
    group_by(NHC,OVID) %>% summarise(Samples=length(samples), Names=paste0(samples, collapse = ";")) %>% merge(data.frame(NHC=nhcs),all=T)
  }else{
    sqlQuery(conn, "SELECT O.NHC,S.* 
         FROM SAMPLES S 
         INNER JOIN OVID O 
         ON O.OVID=S.OVID") %>% filter(NHC %in% nhcs)
  }
}

sqlGenOVID<-function(conn=dta, nhcs=nhc.test, verb=T, sinc=F){
  ovid<-sqlFetch(conn,"OVID")
  
  new.nhc<-nhcs[!nhcs %in% ovid$NHC]
  next.num<-gsub("OVID","",ovid$OVID) %>% as.numeric %>% max(na.rm=T)+1
  last.num<-next.num+(length(new.nhc)-1)
  upd.ovid<-rbind(ovid,data.frame("NHC"=new.nhc, "OVID"=sprintf("OVID%04d",next.num:last.num)))
  rownames(upd.ovid)<-as.character(1:nrow(upd.ovid))
  upd.ovid<-filter(upd.ovid, NHC %in% new.nhc) %>% mutate(NHC=as.character(NHC))
  
  if (sinc){
    ### !! Atención, esto cambia la base de datos:
    sqlSave(conn, upd.ovid, tablename="OVID", append = T)
    print("La base ha sido actualizada.")
  }
  if (verb){
    return(upd.ovid)
  }
}

sqlWriteTemp<-function(conn=dta, nhcs=nhc.test, file="queryOV.xlsx", samples.mod=T, clinics.mod=T){
  upd.ovid<-sqlFetch(conn, "OVID") %>% filter(NHC %in% nhcs)
  if (samples.mod){
    ## Generar código para las nuevas muestras
    samples<-sqlFetch(conn, "SAMPLES")
    if(sum(grepl(paste0("OV",Sys.time() %>% format("%y")), samples$samples)) > 0){
      next.samp<-gsub(paste0("OV",Sys.time() %>% format("%y")),"", samples$samples) %>% as.numeric %>% max(na.rm=T)+1  
    }else{
      next.samp<-1
    }
    last.samp<-next.samp+(length(nhcs)-1)
    new.samp<-sprintf("OV%s%02d",Sys.time() %>% format("%y"),next.samp:last.samp)
    new.samp.df<-merge(sqlFetch(dta,"OVID") %>% merge(data.frame("NHC"=nhcs)), data.frame("NHC"=nhcs, "samples"=new.samp))
    samples.exp<-merge(samples %>% slice(0), new.samp.df %>% select(-NHC), all=T) %>% select(colnames(samples)) %>% arrange(samples)
  }
  
  if (clinics.mod){
    ## Importar los datos clínicos de pacientes existentes y generar nueva entrada par los nuevos
    upd.clinics<-sqlFetch(conn, "CLINICS")
    ovid.new<-sqlFetch(conn, "OVID") %>% filter(NHC %in% nhcs)
    upd.clinics<-merge(ovid.new,upd.clinics, all.x=T, by="OVID")
    upd.clinics$NHC<-as.character(upd.clinics$NHC)
    for (i in colnames(upd.clinics)[sapply(upd.clinics, lubridate::is.POSIXct)]){upd.clinics[,i]<-as.Date(upd.clinics[,i])}
  }

  ## Exportar tablas a la plantilla de entrada para su rellenado
  wb <- loadWorkbook(file)
  writeData(wb, "NHC", upd.ovid)
  if (samples.mod){writeData(wb,"samples",samples.exp)}
  if (clinics.mod){writeData(wb,"CLINICS",upd.clinics)}
  saveWorkbook(wb,file,overwrite = TRUE)
}

sqlSincBD<-function(conn=dta, filetemp="QueryOV.xlsx", sinc.samples=F, sinc.clinics=F){
  ## Añadir código de muestra nueva a la base de datos
  nsamples<-sqlFetch(conn, "SAMPLES") %>% nrow
  upd.samples<-read.xlsx(filetemp, sheet = "samples", detectDates = T)
  if (nrow(upd.samples) > 0){rownames(upd.samples)<-(nsamples+1):(nsamples+nrow(upd.samples)) %>% as.character}
  
  if (sinc.samples & nrow(upd.samples) > 0){
    upd.samples$IQ_date<-as.Date(upd.samples$IQ_date)
    ### !! Atención, esto cambia la base de datos:
    sqlSave(conn, upd.samples, tablename="SAMPLES", append = T, varTypes = c("IQ_date"="date"))
    print("Tabla SAMPLES sincronizada.")
  }
  
  ## Añadir datos clínicos modificados a la base de datos
  upd.clinics<-read.xlsx(filetemp, sheet = "CLINICS",detectDates = T)
  ovid.mod<-upd.clinics$OVID[upd.clinics$OVID %in% (sqlFetch(dta, "CLINICS") %>% pull(OVID))]
  rnames<-sqlFetch(conn, "CLINICS") %>% filter(OVID %in% ovid.mod) %>% rownames
  clinics.mod<-upd.clinics %>% filter(OVID %in% ovid.mod) %>% select(-NHC)
  rownames(clinics.mod)<-rnames
  
  ### !! Atención, esto cambia la base de datos:
  if (sinc.clinics){
    fechas<-colnames(clinics.mod)[grepl("DO|date", colnames(clinics.mod))]
    for (i in fechas){
      clinics.mod[,i]<-as.Date(clinics.mod[,i])
    }
    sqlUpdate(conn, clinics.mod,"CLINICS")
    print("Tabla CLINICS modificada.")
  }
  
  ## Añadir datos clínicos nuevos a la base de datos
  nsamples.clin<-sqlFetch(conn, "CLINICS") %>% nrow
  ovid.new<-upd.clinics$OVID[!upd.clinics$OVID %in% (sqlFetch(conn, "CLINICS") %>% pull(OVID))]
  clinics.new<-upd.clinics %>% filter(OVID %in% ovid.new) %>% select(-NHC)
  if (length(ovid.new) > 0){rownames(clinics.new)<-(nsamples.clin+1):(nsamples.clin+nrow(clinics.new)) %>% as.character}
  
  ### !! Atención, esto cambia la base de datos:
  if (sinc.clinics){
    fechas<-colnames(clinics.new)[grepl("DO|date", colnames(clinics.new))]
    varTypes<-rep("Date",length(fechas))
    names(varTypes)<-fechas
    for (i in fechas){
      clinics.new[,i]<-as.Date(clinics.new[,i])
    }
    sqlSave(conn, clinics.new, tablename="CLINICS", append = T, varTypes = varTypes)
    print("Tabla CLINICS sincronizada.")
  }
}