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212 lines
10 KiB
212 lines
10 KiB
#' Generate actor search queries based on data in actor db
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#'
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#' Generate actor search queries based on data in actor db
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#' @param actor A row from the output of elasticizer() when run on the 'actor' index
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#' @param country 2-letter string indicating the country for which to generate the queries, is related to inflected nouns, definitive forms and genitive forms of names etc.
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#' @param identifier Identifier used to mark hits in the text, identifiers are prepended before the actual hit
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#' @return A data frame containing the queries, related actor ids and actor function
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#' @export
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#' @examples
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#' query_gen_actors(actor,country)
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#################################################################################################
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#################################### Actor search query generator ###############################
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#################################################################################################
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query_gen_actors <- function(actor, country, identifier) {
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highlight <- paste0('"highlight" : {
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"fields" : {
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"text" : {},
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"teaser" : {},
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"preteaser" : {},
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"title" : {},
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"subtitle" : {}
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},
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"number_of_fragments": 0,
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"order": "none",
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"type":"unified",
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"fragment_size":0,
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"pre_tags":"',identifier,'",
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"post_tags": ""
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}')
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if (country == "no") {
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genitive <- 's'
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definitive <- 'en'
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definitive_genitive <- 'ens'
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} else if (country == 'uk') {
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genitive <- '\'s'
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definitive <- 's'
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definitive_genitive <- ''
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} else {
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genitive <- ''
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definitive <- ''
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definitive_genitive <- ''
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}
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if (actor$`_source.function` == "Min" | actor$`_source.function` == "PM" | actor$`_source.function` == "PartyLeader") {
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lastname <- paste0('(',actor$`_source.lastName`,' OR ',actor$`_source.lastName`,genitive,')')
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## Adding a separate AND clause for inclusion of only last name to highlight all occurences of last name
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## Regardless of whether the last name hit is because of a minister name or a full name proximity hit
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query_string <- paste0('(((\\"',
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actor$`_source.firstName`,
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' ',
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actor$`_source.lastName`,
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'\\"~5 OR \\"',
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actor$`_source.firstName`,
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' ',
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actor$`_source.lastName`,genitive,
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'\\"~5) AND ',lastname)
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}
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if (actor$`_source.function` == "PartyLeader") {
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query_string <- paste0(query_string,'))')
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ids <- toJSON(unlist(lapply(c(actor$`_source.actorId`,actor$`_source.partyId`),str_c, "_pl")))
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}
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if (actor$`_source.function` == "Min" | actor$`_source.function` == "PM") {
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## Modifiers are only applied to minister titles
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capital <- unlist(lapply(actor$`_source.ministerSearch`, str_to_title))
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capital_gen <- unlist(lapply(capital, str_c, genitive))
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capital_def <- unlist(lapply(capital, str_c, definitive))
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capital_defgen <- unlist(lapply(capital, str_c, definitive_genitive))
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gen <- unlist(lapply(actor$`_source.ministerSearch`, str_c, genitive))
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def <- unlist(lapply(actor$`_source.ministerSearch`, str_c, definitive))
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defgen <- unlist(lapply(actor$`_source.ministerSearch`, str_c, definitive_genitive))
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names <- paste(c(capital,capital_gen,gen,capital_def,def,defgen,capital_defgen), collapse = ' ')
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query_string <- paste0(query_string,') OR (',lastname,' AND (',names,')))')
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ids <- toJSON(unlist(lapply(c(actor$`_source.actorId`,actor$`_source.ministryId`,actor$`_source.partyId`),str_c, "_min")))
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}
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if (actor$`_source.function` == "Institution") {
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#uppercasing
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firstup <- function(x) {
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substr(x, 1, 1) <- toupper(substr(x, 1, 1))
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x
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}
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actor$`_source.startDate` <- "2000-01-01"
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actor$`_source.endDate` <- "2099-01-01"
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if (nchar(actor$`_source.institutionNameSearch`[[1]]) > 0) {
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upper <- unlist(lapply(actor$`_source.institutionNameSearch`, firstup))
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upper <- c(upper, unlist(lapply(upper, str_c, genitive)),
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unlist(lapply(upper, str_c, definitive)),
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unlist(lapply(upper, str_c, definitive_genitive)))
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capital <- unlist(lapply(actor$`_source.institutionNameSearch`, str_to_title))
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capital <- c(capital, unlist(lapply(capital, str_c, genitive)),
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unlist(lapply(capital, str_c, definitive)),
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unlist(lapply(capital, str_c, definitive_genitive)))
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base <- actor$`_source.institutionNameSearch`
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base <- c(base, unlist(lapply(base, str_c, genitive)),
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unlist(lapply(base, str_c, definitive)),
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unlist(lapply(base, str_c, definitive_genitive)))
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names <- paste(unique(c(upper,capital,base)), collapse = '\\" \\"')
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query_string <- paste0('(\\"',names,'\\")')
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ids <- toJSON(unlist(lapply(c(actor$`_source.institutionId`),str_c, "_f")))
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query <- paste0('{"query":
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{"bool": {"filter":[{"term":{"country":"',country,'"}},
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{"range":{"publication_date":{"gte":"',actor$`_source.startDate`,'","lte":"',actor$`_source.endDate`,'"}}},
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{"query_string" : {
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"default_operator" : "OR",
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"allow_leading_wildcard" : "false",
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"fields": ["text","teaser","preteaser","title","subtitle"],
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"query" : "', query_string,'"
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}
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}
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]
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} },',highlight,' }')
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df1 <- data.frame(query = query, ids = I(ids), type = actor$`_source.function`, stringsAsFactors = F)
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}
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if (nchar(actor$`_source.institutionNameSearchShort`[[1]]) > 0) {
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upper <- unlist(lapply(actor$`_source.institutionNameSearchShort`, firstup))
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upper <- c(upper, unlist(lapply(upper, str_c, genitive)),
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unlist(lapply(upper, str_c, definitive)),
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unlist(lapply(upper, str_c, definitive_genitive)))
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capital <- unlist(lapply(actor$`_source.institutionNameSearchShort`, str_to_title))
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capital <- c(capital, unlist(lapply(capital, str_c, genitive)),
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unlist(lapply(capital, str_c, definitive)),
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unlist(lapply(capital, str_c, definitive_genitive)))
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base <- actor$`_source.institutionNameSearchShort`
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base <- c(base, unlist(lapply(base, str_c, genitive)),
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unlist(lapply(base, str_c, definitive)),
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unlist(lapply(base, str_c, definitive_genitive)))
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names <- paste(unique(c(upper,capital,base)), collapse = '\\" \\"')
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query_string <- paste0('(\\"',names,'\\")')
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ids <- toJSON(unlist(lapply(c(actor$`_source.institutionId`),str_c, "_s")))
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query <- paste0('{"query":
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{"bool": {"filter":[{"term":{"country":"',country,'"}},
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{"range":{"publication_date":{"gte":"',actor$`_source.startDate`,'","lte":"',actor$`_source.endDate`,'"}}},
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{"query_string" : {
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"default_operator" : "OR",
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"allow_leading_wildcard" : "false",
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"fields": ["text","teaser","preteaser","title","subtitle"],
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"query" : "', query_string,'"
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}
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}
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]
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} },',highlight,' }')
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df2 <- data.frame(query = query, ids = I(ids), type = actor$`_source.function`, stringsAsFactors = F)
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}
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if (exists('df1') == T & exists('df2') == T) {
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return(bind_rows(df1,df2))
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} else if (exists('df1') == T) {
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return(df1)
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} else if (exists('df2') == T) {
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return(df2)
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}
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}
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if (actor$`_source.function` == "Party") {
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actor$`_source.startDate` <- "2000-01-01"
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actor$`_source.endDate` <- "2099-01-01"
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names <- paste(c(unlist(actor$`_source.partyNameSearchShort`)), collapse = '\\" \\"')
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query_string <- paste0('(\\"',names,'\\")')
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query <- paste0('{"query":
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{"bool": {"filter":[{"term":{"country":"',country,'"}},
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{"range":{"publication_date":{"gte":"',actor$`_source.startDate`,'","lte":"',actor$`_source.endDate`,'"}}},
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{"query_string" : {
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"default_operator" : "OR",
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"allow_leading_wildcard" : "false",
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"fields": ["text","teaser","preteaser","title","subtitle"],
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"query" : "', query_string,'"
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}
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}
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]
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} },',highlight,' }')
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ids <- c(toJSON(unlist(lapply(c(actor$`_source.partyId`),str_c, "_p"))))
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if (nchar(actor$`_source.partyNameSearch`[[1]]) > 0) {
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names <- paste(c(unlist(actor$`_source.partyNameSearch`)), collapse = '\\" \\"')
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query_string <- paste0('(\\"',names,'\\")')
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query2 <- paste0('{"query":
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{"bool": {"filter":[{"term":{"country":"',country,'"}},
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{"range":{"publication_date":{"gte":"',actor$`_source.startDate`,'","lte":"',actor$`_source.endDate`,'"}}},
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{"query_string" : {
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"default_operator" : "OR",
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"allow_leading_wildcard" : "false",
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"fields": ["text","teaser","preteaser","title","subtitle"],
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"query" : "', query_string,'"
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}
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}
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]
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} },',highlight,' }')
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ids <- c(ids, toJSON(unlist(lapply(c(actor$`_source.partyId`),str_c, "_p"))))
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query <- c(query, query2)
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fn <- c('PartyAbbreviation','Party')
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} else {
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fn <- c('PartyAbbreviation')
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}
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return(data.frame(query = query, ids = I(ids), type = fn, prefix = actor$`_source.searchAnd`, postfix = actor$`_source.searchAndNot`, stringsAsFactors = F))
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}
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query <- paste0('{"query":
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{"bool": {"filter":[{"term":{"country":"',country,'"}},
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{"range":{"publication_date":{"gte":"',actor$`_source.startDate`,'","lte":"',actor$`_source.endDate`,'"}}},
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{"query_string" : {
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"default_operator" : "OR",
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"allow_leading_wildcard" : "false",
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"fields": ["text","teaser","preteaser","title","subtitle"],
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"query" : "', query_string,'"
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}
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}
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]
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} },',highlight,' }')
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fn <- actor$`_source.function`
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return(data.frame(query = query, ids = I(ids), type = fn, stringsAsFactors = F))
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}
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