112 lines
2.7 KiB
R
112 lines
2.7 KiB
R
library("readxl")
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library("writexl")
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library("dplyr")
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library("xlsx")
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library("stringi")
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library("SPARQL")
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library("stringr")
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library("tictoc")
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source("../sparql.R")
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###### Konfiguration #########
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#Arbeitsverzeichnis
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setwd("C:/Users/linchr/ownCloud/GIT/URI_Replacement")
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#Funktionen einbinden
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source("sparql.R")
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#Datei in der ersetzt werden soll
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FILENAME_EXCEL <- "GC3D_Limits_ref.xlsx"
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PFAD_EXCEL <- "data/"
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#Spaltennummer in denen ersetzt werden soll im Excel
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SPALTEN <- c(2, 3, 4, 5, 6)
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#Spaltennummer mit der verglichen wird aus Datenbank (citations)
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INHALTE_DB <- 3
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#Spaltennummer der Inhalte die eingesetzt werden soll (uris)
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ID <- 1
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##############################
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### Einlesen ###
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inDB <- get_current_geoera_lit_db()
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to_replace_original <- read_excel(paste(PFAD_EXCEL, FILENAME_EXCEL, sep=""))
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to_replace_done <- to_replace_original
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###
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#Schleife über den Spaltenvektor aus der Excel
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for (spalte_excel in SPALTEN[1]:SPALTEN[length(SPALTEN)]) {
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#Start der Zeitmessung für aktuelle Spalte
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tic(paste("starte mit Spalte",spalte_excel))
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for (zeile_excel in 1:nrow(to_replace_original[, spalte_excel])) {
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current_excel <- tolower(to_replace_original[zeile_excel, spalte_excel])
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if (is.na(current_excel)) {
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next
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}
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if ((nchar(current_excel) < 20)) {
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to_replace_done[zeile_excel, spalte_excel] <- ""
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next
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}
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excel_search_all <- unlist(strsplit(gsub("[^[:alnum:] ]", "", current_excel), " +"))
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excel_search_numbers <- str_extract_all(current_excel, "\\(?[0-9]+\\)?")
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for (zeile_db in 1:nrow(inDB[, INHALTE_DB])) {
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current_db <- tolower(inDB[zeile_db,INHALTE_DB])
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db_search_all <- unlist(strsplit(gsub("[^[:alnum:] ]", "", current_db), " +"))
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db_search_numbers <- str_extract_all(current_db, "\\(?[0-9]+\\)?")
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count_all <- 0
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count_numbers <- 0
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for (k in 1:length(excel_search_all)) {
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if (excel_search_all[k] %in% db_search_all) {
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count_all <- count_all + 1
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}
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}
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for (l in 1:length(excel_search_numbers)) {
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if (excel_search_numbers[l] %in% db_search_numbers) {
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count_numbers <- count_numbers + 1
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}
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}
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percent_match_all <- count_all / length(excel_search_all)
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percent_match_numbers <- count_numbers / length(excel_search_numbers)
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if ((percent_match_all > 0.80) && (percent_match_numbers > 0.99)) {
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to_replace_done[zeile_excel, spalte_excel] <- str_remove_all(inDB[zeile_db,ID], "[<>]")
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}
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}
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}
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toc()
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}
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toc()
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pfad_output <- paste(PFAD_EXCEL, "replaced_" , FILENAME_EXCEL, sep="")
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write_xlsx(to_replace_done, pfad_output)
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