Support google's labels

I heavily leveraged google's lables to help find items since reader's search never really worked. I tweaked export2enex to add support if you or anyone is interested.

if notebook:
subject = subject + " @" + notebook
if 'categories' in s.keys():
for i in range(len(s["categories"])):
if s["categories"][i].lower()[0:32] == "user/" + GOOGLE_USER_SID + "/label/":
#user defined labels
tags += "" + s["categories"][i][32:].encode(char_encoding, 'replace') + ""
if s["categories"][i].lower()[0:26] != "user/" + GOOGLE_USER_SID + "/":
#categories which the feeds could autopopulate
tags += "zAuto " + s["categories"][i].encode(char_encoding, 'replace') + ""
.
.
.
if updated_datetime:
msg_body = msg_body + "" + updated_datetime + ""
msg_body = msg_body + tags

Probably to make the code more production ready, a flag for GOOGLE_USER_SID and whether the user wants to include the autopopulated categories would be good.

Thanks for your great work. This was on my back burner and even though Python isn't my daily go to language, this script worked perfectly!

Start by reading export2enex and trace how Google Reader categories are converted into Evernote tags. Determine how GOOGLE_USER_SID and inclusion of auto-populated categories should be configured, then verify that an export preserves the requested user labels and categories.

Written by the indexing model from the issue text.