actorizer: Removed nested parallelization function

query_gen_actors: Integrated startDate and endDate for parties, changed party exception method from abbreviation only to both full names and abbreviations for NL and BE

R/actorizer.R

@@ -14,13 +14,28 @@
 #' @examples
 #' actorizer(out, localhost = F, ids, prefix, postfix, identifier, es_super)
 actorizer <- function(out, localhost = F, ids, prefix, postfix, pre_tags, post_tags, es_super, ver) {
-  sentencizer <- function(row, out, ids, prefix, postfix, pre_tags, post_tags, pre_tags_regex, post_tags_regex) {
+  offsetter <- function(x, pre_tags, post_tags) {
-    doc <- out[row,]
+    return(as.list(as.data.frame(x-((row(x)-1)*(nchar(pre_tags)+nchar(post_tags))))))
-    if (sum(nchar(doc$merged) > 990000)) {
+  }
+
+  out <- mamlr:::out_parser(out, field = 'highlight', clean = F)
+
+  prefix[prefix==''] <- NA
+  postfix[postfix==''] <- NA
+  pre_tags_regex <- gsub("([.|()\\^{}+$*?]|\\[|\\])", "\\\\\\1", pre_tags)
+  post_tags_regex <- gsub("([.|()\\^{}+$*?]|\\[|\\])", "\\\\\\1", post_tags)
+  out$markers <- lapply(str_locate_all(out$merged,coll(pre_tags)), offsetter, pre_tags = pre_tags, post_tags = post_tags)
+  markers <- out %>%
+    select(`_id`,markers) %>%
+    unnest_wider(markers) %>%
+    rename(marker_start = start, marker_end = end) %>%
+    unnest(colnames(.))
+
+  if (sum(nchar(out$merged) > 990000) > 0) {
     stop("One or more documents in this batch exceed 990000 characters")
   }
   # Extracting ud output from document
-    ud <- doc %>%
+  ud <- out %>%
     select(`_id`,`_source.ud`, merged) %>%
     unnest(cols = c("_source.ud")) %>%
     select(`_id`,lemma,start,end, sentence_id,merged) %>%
@@ -96,44 +111,17 @@ actorizer <- function(out, localhost = F, ids, prefix, postfix, pre_tags, post_t
       sentence_count = first(sentence_count)# List of actor ids
     ) %>%
     mutate(
-        prom = occ/sentence_count, # Relative prominence of actor in article (number of occurences/total # sentences)
+      prom = occ/sentence_count, # Relative prominence of actor in article (number of occurrences/total # sentences)
-        rel_first = 1-(first/sentence_count), # Relative position of first occurence at sentence level
+      rel_first = 1-(first/sentence_count), # Relative position of first occurrence at sentence level
     ) %>%
     select(`_id`:occ, prom,rel_first,first,ids)
-    return(hits)
-
-  }
-  out <- mamlr:::out_parser(out, field = 'highlight', clean = F)
-  offsetter <- function(x, pre_tags, post_tags) {
-    return(as.list(as.data.frame(x-((row(x)-1)*(nchar(pre_tags)+nchar(post_tags))))))
-  }
-  prefix[prefix==''] <- NA
-  postfix[postfix==''] <- NA
-  pre_tags_regex <- gsub("([.|()\\^{}+$*?]|\\[|\\])", "\\\\\\1", pre_tags)
-  post_tags_regex <- gsub("([.|()\\^{}+$*?]|\\[|\\])", "\\\\\\1", post_tags)
-  out$markers <- future_lapply(str_locate_all(out$merged,coll(pre_tags)), offsetter, pre_tags = pre_tags, post_tags = post_tags)
-  markers <- out %>%
-    select(`_id`,markers) %>%
-    unnest_wider(markers) %>%
-    rename(marker_start = start, marker_end = end) %>%
-    unnest(colnames(.))
 
-  # ids <- fromJSON(ids)
+  if (nrow(hits) == 0) {
-  updates <- sentencizer(1:1024,
-                                out = out,
-                                ids = ids,
-                                postfix = postfix,
-                                prefix=prefix,
-                                pre_tags_regex = pre_tags_regex,
-                                pre_tags = pre_tags,
-                                post_tags_regex = post_tags_regex,
-                                post_tags = post_tags)
-  if (nrow(updates) == 0) {
     print("Nothing to update for this batch")
     return(NULL)
   } else {
-    bulk <- apply(updates, 1, bulk_writer, varname ='actorsDetail', type = 'add', ver = ver)
+    bulk <- apply(hits, 1, bulk_writer, varname ='actorsDetail', type = 'add', ver = ver)
-    bulk <- c(bulk,apply(updates[c(1,11)], 1, bulk_writer, varname='actors', type = 'add', ver = ver))
+    bulk <- c(bulk,apply(hits[c(1,11)], 1, bulk_writer, varname='actors', type = 'add', ver = ver))
     return(elastic_update(bulk, es_super = es_super, localhost = localhost))
   }
 

R/query_gen_actors.R

@@ -136,8 +136,8 @@ query_gen_actors <- function(actor, country, pre_tags, post_tags) {
 
   ### Query generation for party searches
   if (actor$`_source.function` == "Party") {
-    actor$`_source.startDate` <- "2000-01-01"
+    # actor$`_source.startDate` <- "2000-01-01"
-    actor$`_source.endDate` <- "2099-01-01"
+    # actor$`_source.endDate` <- "2099-01-01"
     if (nchar(actor$`_source.partyNameSearchShort`[[1]]) > 0) {
       # If uk, no or dk, search for both regular abbreviations, and genitive forms
       if (country == "uk" | country == "no" | country == "dk") {
@@ -167,7 +167,7 @@ query_gen_actors <- function(actor, country, pre_tags, post_tags) {
       ids <- str_c(actor$`_source.partyId`,'_f')
       actorid <- str_c(actor$`_source.partyId`,'_f')
       query <- generator(country, actor$`_source.startDate`, actor$`_source.endDate`, query_string, pre_tags, post_tags, actorid)
-      if (country == 'uk') {
+      if (country == 'uk' | country == 'nl' | country == 'be') {
         df2 <- data.frame(query = query, ids = I(ids), prefix = actor$`_source.notPrecededBy`, postfix = actor$`_source.notFollowedBy`, stringsAsFactors = F)
       } else {
         df2 <- data.frame(query = query, ids = I(ids), prefix = NA, postfix = NA, stringsAsFactors = F)