library(shiny)
library(devtools)
load_all("../bibliographica")
load_all("../estc")
load_all()
library(magrittr)
library(reshape2)
library(gridExtra)
library(knitr)
library(dplyr)
library(tidyr)
library(ggplot2)
library(sorvi)
library(tools)
library(RCurl)
library(jsonlite)
library(stringi)
library(plyr) # this might be a problem
source("query_ids_functions.R")
source("query_summary_functions.R")
source("get_query_set_list.R")
source("plot_functions.R")
source("paragraph_analysis_functions.R")
options(shiny.sanitize.errors = FALSE)
shinyServer(function(input, output) {
# reactives
subcorpus_filter_state <- reactive({
if (input$subcorpus != "") {
return(TRUE)
} else {
return(FALSE)
}
})
dataset <- reactive({
dataroot <- get_dataroot()
base_dataset <- augment_original_data(readRDS(paste0(dataroot, "data/estc_df.Rds")))
if (subcorpus_filter_state()) {
base_dataset <- get_data_subset_ids_csv(base_dataset, input$subcorpus)
}
return(base_dataset)
})
input_comparables <- reactive({
comparables_list <- list(input$comparative_term1,
input$comparative_term2,
input$comparative_term3,
input$comparative_term4,
input$comparative_term5,
input$comparative_term6,
input$comparative_term7,
input$comparative_term8,
input$comparative_term9,
input$comparative_term10)
return_list <- list()
for (comp in comparables_list) {
if (comp != "") {
return_list <- append(return_list, comp)
}
}
return(return_list)
})
api_query_set <- reactive({
# all the terms to be searched for
comparables <- input_comparables()
# paragraph or document level query:
print(input$mode)
# print(typeof(input$mode))
api_query_set <- octavoapi_get_query_set(input$baseline_term, comparables, input$mode)
return(api_query_set)
})
comparable_sets_list <- reactive({
paragraph_query_set <- api_query_set()
dataset <- dataset()
comparable_sets_list <-
get_yearly_paragraph_frequencies_list(input$blank_total, paragraph_query_set, dataset,
subcorpus_filter_state())
return(comparable_sets_list)
})
output$freq_plot <- renderPlot({
query_sets_list <- comparable_sets_list()
title <- paste0(input$baseline_term, " --- timeline for co-terms in ", input$mode)
plot <- plot_titlecount_relative(title = title,
query_sets_list,
style = input$graph_geom,
plot_colour = "Paired")
return(plot)
})
output$subcorpus_explainer <- renderText({
if (subcorpus_filter_state()) {
explainer_text <- "With a subcorpus, when no comparative term is provided, the search results are compared
against the yearly total titlecount of the subcorpus. Therefore on a given year: Frequency = (paragraphs in
subcorpus with search term) / (number of subcorpus titles). i.e. Average yearly number of paragraphs with the
term in books of the subcorpus."
} else {
explainer_text <- ""
}
return(explainer_text)
})
})
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