parse_wordcount_t.rb

#!/usr/bin/env ruby

require 'date'
require 'pp'
require 'find'
require 'csv'
require 'logger'
require 'stanford-core-nlp'

### classes

class Participant
  attr_accessor :first_name, :last_name, :affil, :title, :type

  def initialize(name_str, affil_str, type)
    @first_name, @last_name = name_str.split(' ', 2)
    @affil, @title = affil_str.split(' - ', 2) unless affil_str.nil?
    @type = type
  end

  ## ex: Thomas A. Moore - Biopure Corporation - President, CEO and Director
  def to_s
    str = @first_name
    str += ' ' + @last_name unless @last_name.nil?
    str += ', ' + @affil unless @affil.nil?
    str += ' - ' + @title unless @title.nil?
    return str
  end
end

class Transcript
  attr_accessor :participant, :transcript, :sentences

  def initialize
    @transcript = ''
  end

  def questions
    qw_regex = "(what|where|when|which|who|whom|would|do|does|doesn't|is|isn't|can|could|to what exten|should|was|has|how|which|if)\W+"
    questions = []
    sentences.each do |s|
      if s =~ /\?/
        questions << s
        next
      end
      questions << s if s.downcase =~ /^#{qw_regex}/
    end
    questions
  end

  def num_of_words(sents=@sentences)
    count = 0
    sents = sentences if sents.nil?
    sents.each do |s|
      s.split(' ').each do |w|
        count += 1 unless w =~ /^\W+$/
      end
    end
    count
  end

  def num_of_questions
    questions.size
  end

  def num_of_words_in_questions
    num_of_words(questions)
  end

  def sentences
    if @sentences.nil?
      #m = TactfulTokenizer::Model.new
      #@sentences = m.tokenize_text(@transcript)

      text = StanfordCoreNLP::Annotation.new(@transcript)
      @@pipeline.annotate(text)

      @sentences = []
      text.get(:sentences).each do |s|
        @sentences << s.to_s
      end
    end
    @sentences
  end
end

### functions

def usage
  puts 'Usage: ' + File.basename(__FILE__) + ' <directory>'
  exit 1
end

def debug(msg)
  return unless DEBUG
  if msg.is_a? String
    puts msg
  else
    pp msg
  end
end

def err(msg)
  @log.error msg
  @stdout.error msg
end

def csv_out(content, path)
  CSV.open(path, 'wb') do |csv|
    content.each do |arr|
      csv << arr
    end
  end
end

def count_word_frequence(sentences, word_freq={})
  sentences.each do |s|
    s.split(' ').each do |w|
      cw = w.downcase.gsub(/\W/, '')
      next unless cw != ''

      if word_freq[cw].nil?
        word_freq[cw] = 1
      else
        word_freq[cw] += 1
      end 
    end
  end
  word_freq
end

def parse_p(entry,type)
  participants = []

  h = Hash[entry.map.with_index.to_a]
  names = entry.select {|l| l =~ /^\*/}

  names.each do |n|
    name = n[1..-1].strip
    next if name.empty?
    affil = entry[h[n]+1]
    next if affil =~ /^\*/
    participants << Participant.new(name, affil, type)
  end
  participants
end

def parse(file)
  txt = ''
  File.open(file, 'r').each do |line|
    l = line.strip
    l.gsub!(/\s+/, ' ')
    l.gsub!(/^=+$/, '===')
    l.gsub!(/^-+$/, '---')
    txt += "|#{l}" unless l == ''
  end
  sections = txt.split('===')
  #pp sections

  sections.collect! {|l| l[1..-2]} # remove the leading and trailing '|'
  header = sections.shift.split('|')
  #pp header

  ticker = header[2].split('-')[0].strip
  reason = header[3]
  datetime_str = header[4]

  datetime = DateTime.parse(datetime_str)
  date_str = datetime.strftime('%Y-%m-%d')
  time_str = datetime.strftime('%H:%M')

  timezone_str = datetime_str[/\W[A-Z]{2,}$/]
  timezone_str = timezone_str.strip unless timezone_str.nil?

  # parse participants
  ops = {}
  h = Hash[sections.map.with_index.to_a]
  if h.has_key?(CP)
    cp = sections[h[CP]+1].split('|')
    parse_p(cp, 'C').each {|p| ops[p.to_s] = p}
  end
  if h.has_key?(CCP)
    ccp = sections[h[CCP]+1].split('|')
    parse_p(ccp, 'A').each {|p| ops[p.to_s] = p}
  end
  ops['Operator'] = 'Operator'
  #pp ops

  search_strings = ops.keys

  # parse presentations
  ps = []
  p_sections = sections.select {|l| l =~ /^#{PRESENTATION}/}
  #pp p_sections.shift
  if ! p_sections.empty?
    current_p = nil
    p_entries = p_sections.shift.split'|---|'
    p_entries.each do |l|
      if [QNA,'Definitions','Disclaimer'].include? l
        ps << current_p.clone unless current_p.nil?
        break
      end
      l.gsub!(/\s+\[\d+\]$/, '')
      if search_strings.include?(l)
        ps << current_p.clone unless current_p.nil?
        current_p = Transcript.new
        current_p.participant = ops[l]
      else
        current_p.transcript += l.gsub('|', ' ') unless current_p.nil?
      end
    end
  end

  # parse questions and answers
  qnas = []
  qna_sections = sections.select {|l| l =~ /^#{QNA}/}
  if ! qna_sections.empty?
    current_qna = nil
    qna_entries = qna_sections.shift.split'|---|'
    qna_entries.each do |l|
      if ['Definitions','Disclaimer'].include? l
        qnas << current_qna.clone unless current_qna.nil?
        break
      end
      # "Fred Ziegel,  Topeka Capital Markets - Analyst   [31]"
      l.gsub!(/\s+\[\d+\]$/, '')
      if search_strings.include?(l)
        qnas << current_qna.clone unless current_qna.nil?
        current_qna = Transcript.new
        current_qna.participant = ops[l]
      else
        current_qna.transcript += l.gsub('|', ' ') unless current_qna.nil?
      end
    end
  end

  p_num_of_words = 0
  ps.each {|p| p_num_of_words += p.num_of_words} unless ps.empty?

  qna_num_of_words = 0
  qnas.each {|q| qna_num_of_words += q.num_of_words} unless qnas.empty?

  ## build the csv array
  @csv << [ticker,date_str,time_str,timezone_str,reason,p_num_of_words,qna_num_of_words]

end

### main

usage unless ARGV.length == 1 and File.directory?(ARGV[0])

StanfordCoreNLP.jar_path = '/opt/stanford-core-nlp-minimal/'
StanfordCoreNLP.model_path = '/opt/stanford-core-nlp-minimal/'
StanfordCoreNLP.set_model('pos.model', 'english-left3words-distsim.tagger')
StanfordCoreNLP.use :english
@@pipeline =  StanfordCoreNLP.load(:tokenize, :ssplit)

DEBUG = false

CP = 'Corporate Participants'
CCP = 'Conference Call Participants'
QNA = 'Questions and Answers'
PRESENTATION = 'Presentation'

log_dt_format = "%Y-%m-%d %H:%M:%S"
@log = Logger.new('parse.log')
@log.datetime_format = log_dt_format
@log.level = Logger::INFO

@stdout = Logger.new(STDOUT)
@stdout.datetime_format = log_dt_format
@stdout.level = Logger::DEBUG

@csv = [['ticker','date','time','timezone','reason','no_presetation_words','no_qna_words']]

input = ARGV[0]
output_dir = File.dirname(input)
output_file = File.basename(input).gsub(/\W+/,'_') + '.csv'
output = File.join(output_dir, output_file)

Find.find(input) do |path|
  if File.directory? (path)
    next
  else
    if File.extname(path) == '.txt' and not File.basename(path) =~ /^\./
      msg = "Parsing [" + path + "]"
      @log.info msg
      @stdout.info msg
      parse(path)
    end
  end
end

## write to csv
csv_out(@csv, output)