positivity

#! /usr/bin/env ruby
require "twitter"
require 'csv'
require 'regexp'

# Twitter setup was here...

#Gets the last 10 tweets from a given user from the twitter API
screen_name = String.new ARGV[0]

#for each tweet 
tweet = client.user_timeline(screen_name, count: 10).each do |tweet|

    #Look through each row in the CSV file to see if any words in the tweet match the words in the 2nd element of the csv array(the word)
    csv = CSV.foreach("csvratings.csv", {:headers=>true}).each do |row|)

	#For each line if the word matches words in the tweet then create a new array and put the valence mean value (3rd array element) in it.
	if row[1].match(tweet /b)do
		valence = array.new 
		valance.push(row[2])

		#Find the average of the valence array to be ordered later
		len = valence.length
		total = valence.inject(:+)
        average = total.to_f / len

    #print out the tweet and their average valence number
    puts tweet + average

        #Alternative ending idea...
        #average valence number needs to be ordered, not sure how to get these to correspond with the tweets... 
        all_averages = array.new
        all_averages.push(average + tweet)
        all_averages.sort

        puts tweet + all_averages


#Notes:
#For the tweets each count search through the CSV loop,
#if any words match then assign them with the coresponding number in vmean[2] of the CSV array
#Find the valence avergage for the words in each line 
#Assign them a value from 1 - 10 and print in that order