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November 10, 2015 15:47
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BASE_URL = 'http://access.alchemyapi.com/calls' | |
SENTIMENT_URL = "/text/TextGetTargetedSentiment" | |
API_KEY = "add it here" | |
try: | |
from urllib.request import urlopen | |
from urllib.parse import urlparse | |
from urllib.parse import urlencode | |
except ImportError: | |
from urlparse import urlparse | |
from urllib2 import urlopen | |
from urllib import urlencode | |
try: | |
import json | |
except ImportError: | |
# Older versions of Python (i.e. 2.4) require simplejson instead of json | |
import simplejson as json | |
try: | |
import urlfetch | |
except ImportError: | |
from google.appengine.api import urlfetch | |
class SentimentAnalyzer(object): | |
def __init__(self): | |
self.default_params = { | |
'apikey' : API_KEY, | |
'outputMode' : 'json', | |
'linkedData':'1', | |
'showSourceText':'1' | |
} | |
def get_sentiment(self, text, target): | |
print "got text:", text | |
print "got target:", target | |
data = self.default_params | |
data['text'] = text | |
data['target'] = target | |
post_url = "" | |
service_URI = BASE_URL + SENTIMENT_URL | |
try: | |
post_url = service_URI + \ | |
'?' + urlencode(data).encode('utf-8') | |
except TypeError: | |
post_url = service_URI + '?' + urlencode(data) | |
results = "" | |
try: | |
results = urlfetch.fetch(url=post_url,deadline=8) | |
except Exception as e: | |
print(e) | |
return {'status': 'ERROR', 'statusInfo': 'network-error'} | |
try: | |
return json.load(results) | |
except: | |
try: | |
return json.loads(results.content) | |
except Exception as e: | |
if results != "": | |
print(results) | |
print(e) | |
return {'status': 'ERROR', 'statusInfo': 'parse-error'} |
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you can use this just like you use the original requests-using alchemy.py api by invoking:
SentimentAnalyzer().get_sentiment(text, tsrget)