#!/usr/bin/env julia
using CSV
using DataFrames
using Mustache

# Import data
survey_data = DataFrame(CSV.File("data.tsv"; delim='\t', normalizenames=true))
deleteat!(survey_data, 2)

# Set descriptions of each column based on the actual question asked
for (i, col) in enumerate(eachcol(survey_data))
    colmetadata!(survey_data, i, "description", first(col))
end #for

# Remove the messy JSON encoding
# TODO: For later graphs, move this step _before_ the import so that DataFrames can properly
# infer types
# deleteat!(survey_data, [1,2])

# Compile comments from all requested questions
questions = [:Q8, :Q16, :Q29, :Q30]
for q in questions
    open("$q.md", "w") do f
        write(f, "# Antimicrobial usage survey open-ended question: $q\n\n")
        for (i, a) in enumerate(skipmissing(survey_data[!, q]))
            if i == 1
                write(f, "**$a**\n\n")
            else
                write(f, "$a\n\n")
            end #if
        end #for
    end #do

    run(`pandoc $q.md -o $q.docx`)

end #for