def mentions(self):
db = cherrypy.request.db
graph = []
root = {'id': 'root', 'name': '', "data": { "$type": "none" }, 'adjacencies': []}
for user_id in Mention.users(db):
node = {
"nodeTo": "%d" % user_id,
"data": {
'$type': 'none'
}
}
root['adjacencies'].append(node)
graph.append(root)
total = len(root['adjacencies'])
for index, (username, user_id, count) in enumerate(Mention.grouped(db)):
node = {
"id": "%d" % user_id,
"name": username,
"data": {
"$color": "#cf5",
"$height": 120,
"$angularWidth": count * 360 / (total * 1.0)
},
"adjacencies": []
}
graph.append(node)
return graph
def fetch_mentions(self):
url = "http://api.twitter.com/1/statuses/mentions.json?count=50"
session = cherrypy.engine.publish('bind-session').pop()
newest = Mention.newest(session)
if newest:
url += "&since_id=%d" % newest.tweet_id
for user in User.all_(session):
content = self.bus.publish("oauth-request", url, user.oauth_token,
user.oauth_token_secret).pop()
tweets = json.loads(content)
if newest:
cherrypy.log("Retrieved %d tweets since %s" %
(len(tweets), newest.date))
else:
cherrypy.log("Retrieved %d tweets" % (len(tweets), ))
for tweet in tweets:
user = tweet.get('user')
if user:
session.add(
Mention(username=user['name'],
user_id=user['id'],
tweet=tweet['text'],
tweet_id=tweet['id'],
lang=self.guess_language(tweet['text']),
date=parse(tweet['created_at'])))
cherrypy.engine.publish('commit-session')
def mentions(self):
db = cherrypy.request.db
graph = []
root = {
'id': 'root',
'name': '',
"data": {
"$type": "none"
},
'adjacencies': []
}
for user_id in Mention.users(db):
node = {"nodeTo": "%d" % user_id, "data": {'$type': 'none'}}
root['adjacencies'].append(node)
graph.append(root)
total = len(root['adjacencies'])
for index, (username, user_id,
count) in enumerate(Mention.grouped(db)):
node = {
"id": "%d" % user_id,
"name": username,
"data": {
"$color": "#666633",
"$height": 65,
"$angularWidth": count * 360 / (total * 1.0)
},
"adjacencies": []
}
graph.append(node)
return graph
def tweets(self, user_id):
db = cherrypy.request.db
tweets = []
for mention in Mention.tweets(db, int(user_id)):
tweets.append(mention.tweet)
return tweets
def fetch_mentions(self):
url = "http://api.twitter.com/1/statuses/mentions.json?count=50"
session = cherrypy.engine.publish('bind-session').pop()
newest = Mention.newest(session)
if newest:
url += "&since_id=%d" % newest.tweet_id
for user in User.all_(session):
content = self.bus.publish("oauth-request", url,
user.oauth_token,
user.oauth_token_secret).pop()
tweets = json.loads(content)
if newest: cherrypy.log("Retrieved %d tweets since %s" % (len(tweets), newest.date))
else: cherrypy.log("Retrieved %d tweets" % (len(tweets), ))
for tweet in tweets:
user = tweet.get('user')
if user:
session.add(Mention(username=user['name'],
user_id=user['id'],
tweet=tweet['text'],
tweet_id=tweet['id'],
lang=self.guess_language(tweet['text']),
date=parse(tweet['created_at'])))
cherrypy.engine.publish('commit-session')
def tweets(self, user_id):
db = cherrypy.request.db
tweets = {}
for mention in Mention.tweets(db, int(user_id)):
if mention.lang not in tweets:
tweets[mention.lang] = []
tweets[mention.lang].append({'text': mention.tweet})
return tweets
def tweets(self, user_id):
db = cherrypy.request.db
tweets = {}
for mention in Mention.tweets(db, int(user_id)):
if mention.lang not in tweets:
tweets[mention.lang] = []
tweets[mention.lang].append({
'text': mention.tweet
}
)
return tweets
