consume multiple corpuses
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28
bin/ebooks
28
bin/ebooks
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@ -62,6 +62,32 @@ STR
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end
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end
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def self.consume_all(name, paths)
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usage = <<STR
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Usage: ebooks consume-all <name> <corpus_path> [corpus_path2] [...]
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Processes some number of text files or json tweet corpuses
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into one usable model. It will be output at model/<name>.model
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STR
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if paths.empty?
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log usage
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exit
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end
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outpath = File.join(APP_PATH, 'model', "#{name}.model")
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#pathes.each do |path|
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# filename = File.basename(path)
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# shortname = filename.split('.')[0..-2].join('.')
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#
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# outpath = File.join(APP_PATH, 'model', "#{shortname}.model")
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# Model.consume(path).save(outpath)
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# log "Corpus consumed to #{outpath}"
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#end
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Model.consume_all(paths).save(outpath)
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log "Corpuses consumed to #{outpath}"
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end
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def self.gen(model_path, input)
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usage = <<STR
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Usage: ebooks gen <model_path> [input]
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@ -187,6 +213,7 @@ STR
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Usage:
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ebooks new <reponame>
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ebooks consume <corpus_path> [corpus_path2] [...]
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ebooks consume-all <corpus_path> [corpus_path2] [...]
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ebooks gen <model_path> [input]
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ebooks score <model_path> <input>
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ebooks archive <@user> <outpath>
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@ -202,6 +229,7 @@ STR
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case args[0]
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when "new" then new(args[1])
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when "consume" then consume(args[1..-1])
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when "consume-all" then consume_all(args[1], args[2..-1])
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when "gen" then gen(args[1], args[2..-1].join(' '))
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when "score" then score(args[1], args[2..-1].join(' '))
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when "archive" then archive(args[1], args[2])
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@ -14,6 +14,10 @@ module Ebooks
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Model.new.consume(txtpath)
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end
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def self.consume_all(paths)
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Model.new.consume_all(paths)
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end
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def self.load(path)
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model = Model.new
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model.instance_eval do
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@ -87,6 +91,10 @@ module Ebooks
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lines = content.split("\n")
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end
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consume_lines(lines)
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end
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def consume_lines(lines)
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log "Removing commented lines and sorting mentions"
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statements = []
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@ -118,6 +126,36 @@ module Ebooks
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self
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end
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def consume_all(paths)
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lines = []
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paths.each do |path|
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content = File.read(path, :encoding => 'utf-8')
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@hash = Digest::MD5.hexdigest(content)
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if path.split('.')[-1] == "json"
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log "Reading json corpus from #{path}"
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l = JSON.parse(content).map do |tweet|
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tweet['text']
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end
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lines.concat(l)
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elsif path.split('.')[-1] == "csv"
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log "Reading CSV corpus from #{path}"
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content = CSV.parse(content)
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header = content.shift
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text_col = header.index('text')
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l = content.map do |tweet|
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tweet[text_col]
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end
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lines.concat(l)
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else
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log "Reading plaintext corpus from #{path}"
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l = content.split("\n")
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lines.concat(l)
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end
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end
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consume_lines(lines)
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end
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def fix(tweet)
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# This seems to require an external api call
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#begin
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