def generateGraphForDay(endTime):
beginTime = endTime - 3*24*3600
articles = app.getArticlesBetweenTimes(beginTime, endTime)
art = db.qdoc.find({'$query': {}, '$orderby': {'topic': -1}}).limit(1)
maxTopic = art[0]['topic']
print maxTopic
nodesClean = []
edgesClean = []
g = Graph()
g.add_vertices(len(articles))
for i in range(0, len(articles)-2):
for j in range(i+1, len(articles)-1):
commonKeywords = list(set(articles[i].keywords).intersection(articles[j].keywords))
if len(commonKeywords) > 2:
edgesClean.append({"source": articles[i].guid, "target": articles[j].guid, "value": len(commonKeywords)})
g.add_edges([(i, j)])
coloring = g.community_infomap()
memberships = coloring.membership
memberCounts = Counter(memberships)
bigCommList = [k for k,v in memberCounts.iteritems() if v>=3]
oldTopics = []
for i, membership in zip(range(0,len(articles)-1), memberships):
oldTopics.append(articles[i].topic)
nodesClean.append({"id": articles[i].guid, "name": articles[i].title.encode('utf-8').replace('"', ''), "group": str(membership), "keywords": articles[i].keywords[:5], "img": '', 'source': articles[i].source, 'url': articles[i].url})
for bigComm in bigCommList:
oldTopicList = []
idList = []
for i, membership, oldTopic in zip(range(0,len(articles)-1), memberships, oldTopics):
if membership == bigComm:
idList.append(articles[i].guid)
oldTopicList.append(oldTopic)
newTopic = 0
nonZeroTopic = [v for v in oldTopicList if v != 0]
if len(nonZeroTopic) == 0:
maxTopic += 1
newTopic = maxTopic
else:
counter = Counter(nonZeroTopic)
newTopic = counter.most_common(1)[0][0]
db.qdoc.update({"_id": {'$in': idList}}, {"$set": {"topic": newTopic}}, multi=True)
def generateGraphForDay(daysAgo):
endTime = time.time() - daysAgo*24*3600
beginTime = endTime - 1.5*24*3600
articles = app.getArticlesBetweenTimes(beginTime, endTime)
i = 0
nodesClean = []
edgesClean = []
connectedNodes = []
g = Graph()
g.add_vertices(len(articles))
for i in range(0, len(articles)-2):
for j in range(i+1, len(articles)-1):
commonKeywords = list(set(articles[i].keywords).intersection(articles[j].keywords))
if len(commonKeywords) > 1:
edgesClean.append({"source": articles[i].guid, "target": articles[j].guid, "value": len(commonKeywords)})
connectedNodes.extend([i,j])
g.add_edges([(i, j)])
connectedNodes = list(set(connectedNodes))
coloring = g.community_infomap()
memberships = coloring.membership
for i, membership in zip(range(0,len(articles)-1), memberships):
if i in connectedNodes:
nodesClean.append({"id": articles[i].guid, "name": articles[i].title.encode('utf-8').replace('"', ''), "group": str(membership), "keywords": articles[i].keywords[:5], "img": '', 'source': articles[i].source, 'url': articles[i].url})
#articles[i].img
endDate = datetime.utcfromtimestamp(endTime)
date1 = datetime(endDate.year, endDate.month, endDate.day)
time1 = (date1 - datetime(1970,1,1)).total_seconds()
time2 = time1 + 86399
date2 = datetime.utcfromtimestamp(time2)
print datetime.utcfromtimestamp(endTime)
db.graph_topics.update({'$and': [{'date': {'$gte': datetime.utcfromtimestamp(time1)}}, {'date': {'$lte': datetime.utcfromtimestamp(time2)}}]}, {'$set': {'date': datetime.utcfromtimestamp(endTime), 'graph': {'nodes': nodesClean, 'edges': edgesClean}}}, upsert=True)
