def extractFeatureToDB(self, beginWeek, endWeek=datetime.today(), isReload=False, useAlchemyAPI=False):
if beginWeek < datetime(2007, 1, 7) or endWeek > datetime.today():
raise Exception('Invalid input date!')
beginWeek, endWeek = dateToSaturday(beginWeek), dateToSaturday(endWeek)
endWeek = endWeek - timedelta(days=7) if endWeek > datetime.today() else endWeek
iterWeek = beginWeek
db = DBController()
while iterWeek <= endWeek:
lastWeek = iterWeek - timedelta(days=7)
songRankList = db.getSongIdListByWeek(lastWeek)
for songId in songRankList:
if isReload == False and db.isFeatureInDB(iterWeek, songId):
continue
featureDict = {}
featureDict['id'] = songId
featureDict['week'] = iterWeek
featureDict['sales'] = db.getSalesRank(lastWeek, songId)
featureDict['radio'] = db.getRadioRank(lastWeek, songId)
featureDict['streaming'] = db.getStreamingRank(lastWeek, songId)
featureDict['MVView'], featureDict['MVSocialInteraction'] = db.getIMVDBData(iterWeek, songId)
featureDict['MTVReviewCount'], featureDict['MTVReviewScore'] = db.getMTVReviewData(iterWeek, songId, useAlchemyAPI)
featureDict['youtubeCommentCount'], featureDict['youtubeCommentScore'] = db.getYoutubeData(iterWeek, songId, useAlchemyAPI)
featureDict['twitterCount'], featureDict['twitterScore'] = db.getTwitterData(iterWeek, songId, useAlchemyAPI)
featureDict['rank'] = db.getTop50Rank(iterWeek, songId)
db.insertFeatureToDB(featureDict)
iterWeek += timedelta(days=7)
def train(self, beginWeek, endWeek, featureMode=0, regressionModelType=0):
if beginWeek < datetime(2007, 1, 1) or endWeek > datetime.today():
raise Exception("Invalid input date!")
beginWeek, endWeek = dateToSaturday(beginWeek), dateToSaturday(endWeek)
endWeek = endWeek - timedelta(days=7) if endWeek > datetime.today() else endWeek
iterWeek = beginWeek
fg = FeatureGenerator()
regression = self.getRegressionModel(regressionModelType)
while iterWeek <= endWeek:
matrix_train = fg.getFeatureMatrix(iterWeek, iterWeek, featureMode)
X_train, y_train = matrix_train[:, 0:-1], matrix_train[:, -1]
regression.fit(X_train, y_train)
iterWeek += timedelta(weeks=1)
return regression
def extractSalesRankToDB(self, beginDate=datetime.today(), endDate=datetime.today()):
if beginDate < datetime(2007, 1, 1) or endDate > datetime.today():
raise Exception('Invalid input date!')
beginDate = dateToSaturday(beginDate)
endDate = dateToSaturday(endDate)
endDate = endDate - timedelta(days=7) if endDate > datetime.today() else endDate
iterDate = beginDate
db = DBController()
while iterDate <= endDate:
if db.checkSalesRankExistInDB(iterDate):
iterDate = iterDate + timedelta(days = 7)
continue
URL = self.getURL(iterDate)
chart = self.getSalesChartFromURL(URL)
db.insertSalesChartToDB(iterDate, chart)
iterDate = iterDate + timedelta(days = 7)
def filterDataByWeek(self, rawDataList):
#loop item, if equals that week's Saturday, add it to statDataList
statDataList = []
for date, data in rawDataList:
if date == dateToSaturday(date):
statDataList.append({'week' : date, 'count' : data})
return statDataList
def getFeatureMatrix(self, beginWeek, endWeek=datetime.today(), mode=0, withSongId=False):
if beginWeek < datetime(2007, 1, 1) or endWeek > datetime.today():
raise Exception('Invalid input date!')
beginWeek, endWeek = dateToSaturday(beginWeek), dateToSaturday(endWeek)
endWeek = endWeek - timedelta(days=7) if endWeek > datetime.today() else endWeek
iterWeek = beginWeek
db = DBController()
matrix = []
while iterWeek <= endWeek:
featureList = db.getFeatureListByWeek(iterWeek)
for featureDict in featureList:
featureVector = self.featureDictToList(featureDict, mode, withSongId)
if featureVector is None:
continue
else:
matrix.append(featureVector)
iterWeek += timedelta(weeks=1)
matrix = numpy.matrix(matrix)
return matrix
def insertTop50ChartToDB(self, week, chart):
#week is a datetime object, except for date part, other must be zero
week = dateToSaturday(week)
self.db.top50.remove({'week' : week})
songList = []
for _, title, artist in chart:
songId = self.getSongId(title, artist)
if songId is None:
songId = self.insertSong(title, artist)
songList.append(songId)
self.db.top50.insert({'week' : week, 'rank' : songList})
def insertSalesChartToDB(self, week, chart):
week = dateToSaturday(week)
self.db.sales.remove({'week' : week})
songList = []
for title, artist, _, _, _, _ in chart:
songId = self.getSongId(title, artist)
if songId is None:
songId = self.getSongId(title)
if songId is None:
#only insert new song from Billboard chart
songId = None
songList.append(songId)
self.db.sales.insert({'week' : week, 'rank' : songList})
def extractDetailStatData(self, tables, URL):
detailStatDict = {'week' : dateToSaturday(datetime.today()), 'URL' : URL}
for table in tables:
tableText = cleanUnicode(table.text)
if tableText.find('Views') != -1:
detailStatDict['MVViewCount'] = self.getDetailStatTableData(tableText, 'Views')
detailStatDict['MVCommentCount'] = self.getDetailStatTableData(tableText, 'Comments')
else:
detailStatDict['FBLikeCount'] = self.getDetailStatTableData(tableText, 'Facebook Like Count')
detailStatDict['FBShareCount'] = self.getDetailStatTableData(tableText, 'Facebook Share Count')
detailStatDict['FBCommentCount'] = self.getDetailStatTableData(tableText, 'Facebook Comment Count')
detailStatDict['TwitterCount'] = self.getDetailStatTableData(tableText, 'Twitter')
detailStatDict['GooglePlusCount'] = self.getDetailStatTableData(tableText, 'GooglePlusOne')
return detailStatDict
def checkSalesRankExistInDB(self, date):
chart = self.db.sales.find_one({'week' : dateToSaturday(date)})
return False if chart is None or len(chart['rank']) != 40 else True
def checkTop50ExistInDB(self, date):
chart = self.db.top50.find_one({'week' : dateToSaturday(date)})
if chart is None or len(chart['rank']) != 50:
return False
else:
return True