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@ -22,7 +22,7 @@ actorizer <- function(out, localhost = F, ids, type, prefix, postfix, identifier
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}
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sentencizer <- function(row, out, udmodel, ids, prefix, postfix, identifier) {
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print(row)
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### If no pre or postfixes, match *not nothing* i.e. anything
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if (is.na(prefix) || prefix == '') {
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prefix = '$^'
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@ -32,6 +32,8 @@ actorizer <- function(out, localhost = F, ids, type, prefix, postfix, identifier
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}
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### Also needs fix for empty strings (non-NA)
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doc <- out[row,]
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print(doc$merged)
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print(row)
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ud <- as.data.frame(udpipe_annotate(udmodel, x = doc$merged, parser = "none", doc_id = doc$`_id`)) %>%
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filter(upos != "PUNCT") # Removing punctuation to get accurate word counts
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sentence_count <- length(unique(ud$sentence))
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@ -74,7 +76,7 @@ actorizer <- function(out, localhost = F, ids, type, prefix, postfix, identifier
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str_replace_all("\\s+"," ")
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ids <- fromJSON(ids)
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updates <- bind_rows(mclapply(seq(1,length(out[[1]]),1), sentencizer, out = out, ids = ids, postfix = postfix, prefix=prefix, identifier=identifier, udmodel = udmodel, mc.cores = detectCores()))
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updates <- bind_rows(mclapply(seq(1,length(out[[1]]),1), sentencizer, out = out, ids = ids, postfix = postfix, prefix=prefix, identifier=identifier, udmodel = udmodel, mc.cores = 1))
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bulk <- apply(updates, 1, bulk_writer, varname ='actorsDetail', type = 'add')
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bulk <- c(bulk,apply(updates[c(1,8)], 1, bulk_writer, varname='actors', type = 'add'))
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return(elastic_update(bulk, es_super = es_super, localhost = localhost))
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