# For each of a handful of given cities, get the average FK Grade Level score of that city's most recent craigslist resume posts.
import craigslist
import flesch_kincaid

def main():
		cities = {
		'atlanta': 'Atlanta',
		'austin': 'Austin',
		'boston': 'Boston',
		'chicago': 'Chicago',
		'dallas': 'Dallas',
		'denver': 'Denver',
		'detroit': 'Detroit',
		'houston': 'Houston',
		'lasvegas': 'Las Vegas',
		'losangeles': 'Los Angeles',
		'miami': 'Miami',
		'minneapolis': 'Minneapolis',
		'newyork': 'New York',
		'orangecounty': 'Orange County',
		'philadelphia': 'Philadelphia',
		'phoenix': 'Phoenix',
		'portland': 'Portland',
		'raleigh': 'Raleigh',
		'sacramento': 'Sacramento',
		'sandiego': 'San Diego',
		'seattle': 'Seattle',
		'sfbay': 'San Francisco Bay Area',
		'washingtondc': 'Washington, DC'
		}
		#averages = {}
		citygrades = {}
		for city, fullname in cities.items():
			print fullname
			grades = []
			resumes = craigslist.extract_city_resume_urls(city)
			for url in resumes:
				text = craigslist.resume_url_to_text(url)
				if not text:
					continue
				grade = flesch_kincaid.grade_level(text)
				grades.append(grade)
			#average = 0
			citygrades[fullname] = '|'.join(['%3.2f' % x for x in grades])
			#if len(grades) > 0:
			#	average = sum(grades) / float(len(grades))
			#averages[fullname] = average

			with open('results.txt', 'a') as outf:
				#print city, ('[%3.2f]' % averages[city]), citygrades[city]
				#f = "%s [%3.2f] %s\n" % (fullname, average, citygrades[fullname])
				f = "%s|%s\n" % (fullname, citygrades[fullname])
				outf.write(f)

if __name__ == '__main__':
	main()