def execute(traingStart,traingEnd,estimationStart,estimationEnd,key_num,clu_num,days_back):
"Clear the database data"
print "Clear Start Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
data_clear()
print "Clear End Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
"Divide the Originial News File into Two Parts:Training part and Test Part"
print "Divide News File Start Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
divide_archived_news(traingStart,traingEnd,estimationStart,estimationEnd)
print "Divide News File End Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
"Clustering the time serial Stock index value"
print "Clustering Start Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
ct.clusterSet(traingStart,traingEnd,clu_num)
print "Clustering End Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
"Computing the trends contribution and probability"
print "Trend Contribution Start Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
ctc.compute_trend_contribution(clu_num)
print "Trend Contribution End Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
"Creating the Vocabulary"
print "Creating the Vocabulary Start Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
cv.create_vocabulary(key_num)
print "Creating the Vocabulary End Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
"Computing the Term Contribution"
print "Computing the Term Contribution Start Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
ctermc.compute_term_contribution(days_back)
print "Computing the Term Contribution End Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
def execute(startDate, endDate):
"Clear the database data"
print "Clear Start Time: ", datetime.strftime(datetime.now(),
"%Y-%m-%d %H:%M:%S")
data_clear()
print "Clear End Time: ", datetime.strftime(datetime.now(),
"%Y-%m-%d %H:%M:%S")
"import archieved news data"
print "import archieved Start Time: ", datetime.strftime(
datetime.now(), "%Y-%m-%d %H:%M:%S")
inp.import_news_to_database()
print "import archieved End Time: ", datetime.strftime(
datetime.now(), "%Y-%m-%d %H:%M:%S")
"import the historical stock index"
print "import stock Index Start Time: ", datetime.strftime(
datetime.now(), "%Y-%m-%d %H:%M:%S")
ihs.execute()
print "import stock Index End Time: ", datetime.strftime(
datetime.now(), "%Y-%m-%d %H:%M:%S")
"Divide the Originial News File into Two Parts:Training part and Test Part"
print "Divide News File Start Time: ", datetime.strftime(
datetime.now(), "%Y-%m-%d %H:%M:%S")
divide_archived_news(endDate)
print "Divide News File End Time: ", datetime.strftime(
datetime.now(), "%Y-%m-%d %H:%M:%S")
"Clustering the time serial Stock index value"
print "Clustering Start Time: ", datetime.strftime(datetime.now(),
"%Y-%m-%d %H:%M:%S")
ct.clusterSet(endDate)
print "Clustering End Time: ", datetime.strftime(datetime.now(),
"%Y-%m-%d %H:%M:%S")
"Computing the trends contribution and probability"
print "Trend Contribution Start Time: ", datetime.strftime(
datetime.now(), "%Y-%m-%d %H:%M:%S")
ctc.compute_trend_contribution()
print "Trend Contribution End Time: ", datetime.strftime(
datetime.now(), "%Y-%m-%d %H:%M:%S")
"Creating the Vocabulary"
print "Creating the Vocabulary Start Time: ", datetime.strftime(
datetime.now(), "%Y-%m-%d %H:%M:%S")
cv.create_vocabulary()
print "Creating the Vocabulary End Time: ", datetime.strftime(
datetime.now(), "%Y-%m-%d %H:%M:%S")
"Computing the Term Contribution"
print "Computing the Term Contribution Start Time: ", datetime.strftime(
datetime.now(), "%Y-%m-%d %H:%M:%S")
ctermc.compute_term_contribution()
print "Computing the Term Contribution End Time: ", datetime.strftime(
datetime.now(), "%Y-%m-%d %H:%M:%S")
def execute(traingStart,traingEnd,estimationStart,estimationEnd):
"Clear the database data"
print "Clear Start Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
data_clear()
print "Clear End Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
"import archieved news data"
print "import archieved Start Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
inp.import_news_to_database()
print "import archieved End Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
"import the historical stock index"
print "import stock Index Start Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
ihs.import_history()
print "import stock Index End Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
"Divide the Originial News File into Two Parts:Training part and Test Part"
print "Divide News File Start Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
divide_archived_news(traingStart,traingEnd,estimationStart,estimationEnd)
print "Divide News File End Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
"Clustering the time serial Stock index value"
print "Clustering Start Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
ct.clusterSet(traingStart,traingEnd)
print "Clustering End Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
"Computing the trends contribution and probability"
print "Trend Contribution Start Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
ctc.compute_trend_contribution()
print "Trend Contribution End Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
"Creating the Vocabulary"
print "Creating the Vocabulary Start Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
cv.create_vocabulary()
print "Creating the Vocabulary End Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
"Computing the Term Contribution"
print "Computing the Term Contribution Start Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
ctermc.compute_term_contribution()
print "Computing the Term Contribution End Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
"RawNewsProcess Start"
print "RawNewsProcess Start Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")
get_uncompleted_mission()
print "RawNewsProcess End Time: ",datetime.strftime(datetime.now(),"%Y-%m-%d %H:%M:%S")