keys = ['New cases', 'New deaths']
W = DB('Poland')
last_day_db = W.get_last_record_date()
message = 'Wait for a next scrap...'
while (True):
print(message)
hour_now = datetime.datetime.now().hour
min_now = datetime.datetime.now().minute
time_now = str(hour_now) + ':' + str(min_now)
try:
if time_now >= scrap_time and W.get_last_record_date() != today_:
os.system('cls')
D = DR('Poland')
D.show_raport()
W.insert(D)
Pl = P(W)
Pl.RBF_prediction(keys)
pickle_file = open(Pl.path + '\Process_Object.pickle', 'wb')
pickle.dump(Pl, pickle_file)
pickle_file.close()
Pl.send_mail(Pl.path + '\passwords')
tomorrow_date = datetime.date.today() + (datetime.timedelta(
days=1))
Pl.save_predicion_to_txt(tomorrow_date,
Pl.path + '\predykcje.txt')
message = 'Data was already downloaded.'
else:
message = 'Data is in a database.'
def reason(form):
msymptom = [form.biti.data*1, form.bisai.data*2, form.fashao.data*3 , form.toutong.data*4 ,
form.jirousuantong.data*5 , form.kesou.data*6 ]
mallegy = [form.wmhjgm.data*1 , form.dyxajfgm.data*2 , form.ymsfgm.data*3]
while 0 in msymptom:
msymptom.remove(0)
while 0 in mallegy:
mallegy.remove(0)
print msymptom
print mallegy
DataBase.clear()
CnclsBase.clear()
DataBase.ask(msymptom,mallegy)
DataBase.insert()
# 推理
while DataBase.newdatanum()>0:
print "newdata还有数据条数：" + str(DataBase.newdatanum())
fact = DataBase.pickone(); #取出一个事实，进行推理
for i in range(KnowledgeBase.num()):
rule = KnowledgeBase.pickone(i);
if rule[0]==fact[0]:
print "get conclusion:"+rule[1]
#可信度计算
fea_fact = float(fact[1])
fea_rule = float(rule[2])
fea_concl = fea_rule*max(0,fea_fact)
#结论归纳
if rule[1].encode('UTF-8') in ConclusionBase.param:
# 如果是一个结论
# print "put into conclusion"
CnclsBase.putone((rule[1],fea_concl))#放入结论库
else:
#如果是一个推论
# print "put into newdata"
DataBase.nputone((rule[1],fea_concl))#放入一个推论
#删除已使用的事实
DataBase.ndeleteone(fact)
#把结论总结一下（之前的推理对同一个结论得出不同的可信度）
for j in ConclusionBase.param:
kind = CnclsBase.pickkind(j)
if len(kind)==0:
break;
else:
tmp = float(kind[0][2])
for i in range(len(kind)-1):
nex = float(kind[i+1][2])
if tmp*nex<0:
tmp = (tmp+nex)/(1-min(abs(tmp),abs(nex)))
elif (tmp<0 and nex<0):
tmp = tmp+nex+tmp*nex
else:
tmp = tmp+nex-tmp*nex
CnclsBase.deletekind(kind[0][1])
CnclsBase.putone((kind[0][1],tmp))
# 打印结论，并解释
for i in range(CnclsBase.num()): #对所有结论检查一遍
clu = CnclsBase.pickone(i);
for j in CnclsBase.interpretor: #对每个结论，检查所有解释字段，以找到匹配的字段
if j[0].decode('UTF-8')==clu: #结论匹配
print 'conclusion matched'
print clu
symptoms = []
for symptom in j[1:len(j)]:
if DataBase.checksymptom(symptom):
symptoms.append(symptom)
CnclsBase.update((clu,symptoms))
string = CnclsBase.show()
return string
