#!python


# Note that in order to run this script the file
# remote_scraping_session.php must be in the same
# directory.

from remote_scraping_session import RemoteScrapingSession

while True:
    search_term = raw_input("Enter a keyword you want to search: ")
    if search_term:
        break


if search_term != "":

	# Instantiate a remote scraping session (also known
	# as screen-scraper's Python driver).
	session = RemoteScrapingSession()

	# Initialize the session. If you're running screen-scraper
	# on a different computer than the one the Python file resides
	# on you'll want to modify and use the top version instead 
	# of the bottom one.
	#session.initialize( "Shopping Site", "192.168.0.5", 8778 )
	session.initialize( "Shopping Site" )

	# Set the variables.
	# Remember that these two top variables correspond to the POST
	# parameters we use for the "Login" scrapeable file.
	session.setVariable( "EMAIL_ADDRESS", "test@test.com" )
	session.setVariable( "PASSWORD", "testing" )
	# This parameter is the search term the user designated.
	session.setVariable( "SEARCH", search_term )
	# We start screen-scraper at page 1 of the search results.
	# Note that we could have also done this in an "initialize" 
	# script within screen-scraper, which is common.
	session.setVariable( "PAGE", "1" )

	# Tell the session to scrape. This method call might take
	# a little while since it will need to wait for screen-scraper
	# to fully extract the data before it returns.
	session.scrape()

	# Check for errors.
	if session.isError():
		print "An error occurred: " + session.getErrorMessage()
		raise SystemExit

	# We increase the size of the buffer in case we get a lot
	# of data back.
	session.setBufferSize( 64000 )

	# Get the data set that was stored by screen-scraper in a
	# session variable. This data set corresponds to the "PRODUCTS"
	# extractor pattern found under the "Details page" scrapeable
	# file.
	data_set = session.getVariable( "PRODUCTS" )

	# We check to see if we got any records back by looking for
	# a title in the first data record in the set.
	if not data_set:
		# Output a message if we didn't find any results.
		print "Sorry, no results were found for '" + search_term + "'."
	else:
		# Output the table headers.
        	print "%20s%8s%15s%18s%18s" % ('Title', 'Price', 'Model', 'Shipping Weight', 'Manufactured By')

		# Iterate through each of the data records screen-scraper
		# extracted, outputting each of them to the browser.
		for i in range(len(data_set)):
			print "%20.20s%8.8s%15.15s%18.18s%18.18s" % (data_set[i]["TITLE"].strip(), data_set[i]["PRICE"], data_set[i]['MODEL'], data_set[i]['SHIPPING_WEIGHT'], data_set[i]['MANUFACTURED_BY'])

	# Be sure to disconnect from the server.
	session.disconnect()