#This program works with a dictionary of stock information

import csv

def cmp (value, basis):
	if value > basis:
		return 1
	elif value < basis:
		return -1
	else:
		return 0


#write stocks as comma-separated values (csv)

with open('stocks.csv', 'w') as csvfile:
	#Establish the names of the fields
	fieldnames = ['symbol', 'firm_name', 'price', 'change', 'pct']
	#Establish writer as a csv Dict.writer object that has these field names
	#Note: this does NOT put a header in the csv file
	writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
	#Write the data to the csv file. If you open this file in Excel, it will look like a spreadsheet.
	#If you open it in a text editor, it will look like text separated by commas
	writer.writerow({'symbol': 'GOOG', 'firm_name': 'Google Inc.', 'price': 505.24, 'change': 0.47, 'pct': 0.09})
	writer.writerow({'symbol': 'YHOO', 'firm_name': 'Yahoo! Inc.', 'price': 27.38, 'change': 0.33, 'pct': 1.22})
	writer.writerow({'symbol': 'CNET', 'firm_name': 'CNET Networks, Inc.', 'price': 8.62, 'change': -0.13, 'pct': -1.49})

#read the stock data into an object named stocks, print status messages
stocks = csv.reader(open('stocks.csv'))
#Set up labels to make output more friendly. cmp is -1 if x<y, 0 if x == y, 1 if x>y
status_labels = {-1: 'down', 0: 'unchanged', 1: 'up'}

dictlist = []
for line in stocks:
	dictlist.append(dict(zip(['symbol','firm_name','price','change','pct'],line)))

for d in dictlist:
	test = float(d['change'])
	status = status_labels[cmp(test, 0.0)]
	print ('%s is %s %s%%' % (d['firm_name'], status, d['pct']))