def main():
p = Printer()
graph = facebook.GraphAPI(FB_API_KEY)
last_check = datetime.utcnow()
last_check = last_check.replace(tzinfo=pytz.utc)
while True:
time.sleep(5)
print "Polling"
try:
msgs = check_mail(last_check)
last_check = datetime.utcnow()
last_check = last_check.replace(tzinfo=pytz.utc)
fb = check_fb(graph, p)
talks = check_talktome()
except:
print "Issue retrieving data, is there interwebs?"
continue
prnt = False
if len(msgs) > 0:
prnt = True
p.add_line(
p.wide("Email")
)
p.add_line(
p.black(strftime("%a, %d %b %Y %X", localtime()))
)
for frm, subject in msgs:
p.add_line(
p.black("From: ") +\
p.red(frm if frm.strip() != "" else "Unknown")
)
p.add_line(
p.black("Subject: ") +\
p.red(subject if subject.strip() != "" else "None")
)
if len(msgs) > 1:
p.add_line(p.black("\n"))
if len(fb) > 0:
prnt = True
p.add_line(
p.wide("Facebook")
)
p.add_line(
p.black(strftime("%a, %d %b %Y %X", localtime()))
)
for frm, txt in fb:
txt = p.black(txt)
txt = txt.replace(p.black(frm), p.red(frm))
p.add_line(txt)
if len(msgs) > 1:
p.add_line(p.black("\n"))
if len(talks) > 0:
prnt = True
p.add_line(
p.wide("Talk At Me")
)
for t, frm, msg in talks:
p.add_line(
p.black(t)
)
p.add_line(
p.black("From: ") +\
p.red(frm)
)
if len(msg) > 6:
msg = msg[:6]
for m in msg:
p.add_line(
p.black(m)
)
if len(talks) > 1:
p.add_line(p.black("\n"))
if prnt:
p.output()
def Printmain(name=None,
phone=None,
data=None,
fin=None,
keyongThing=None,
Hand_FinList=None):
p = Printer()
p.lines = []
p.add_line("医琦母婴护理")
p.add_line("**************")
p.add_line("下单时间:" + strftime("%d/%m/%Y %X", localtime()))
if name:
p.add_line("顾客姓名：" + name)
if phone:
p.add_line("顾客电话：" + phone)
p.add_line("**************")
if Hand_FinList:
for temp in Hand_FinList:
p.add_line("手法名称：" + str(temp[0]))
p.add_line("使用次数：" + str(temp[2]))
p.add_line("剩余次数：" + str(temp[1]))
p.add_line(" ")
if data:
p.add_line("品名 金额 数量")
for x in data:
name_id = x[0]
price = x[2]
num = x[3]
p.add_line(name_id + ' ' + str(price) + ' ' + str(num))
p.add_line("合计： " + str(fin))
p.add_line("可用于购买商品的金额：" + str(keyongThing))
p.add_line("**************")
p.add_line("欢迎光临，谢谢惠顾！")
p.add_line("医琦母婴护理")
p.add_line("\n")
p.add_line("******自此裁剪******")
p.add_line("医琦母婴护理")
p.add_line("**************")
p.add_line("下单时间:" + strftime("%d/%m/%Y %X", localtime()))
if name:
p.add_line("顾客姓名：" + name)
if phone:
p.add_line("顾客电话：" + phone)
p.add_line("**************")
if Hand_FinList:
for temp in Hand_FinList:
p.add_line("手法名称：" + str(temp[0]))
p.add_line("使用次数：" + str(temp[2]))
p.add_line("剩余次数：" + str(temp[1]))
p.add_line(" ")
if data:
p.add_line("品名 金额 数量")
for x in data:
name_id = x[0]
price = x[2]
num = x[3]
p.add_line(name_id + ' ' + str(price) + ' ' + str(num))
p.add_line("合计： " + str(fin))
p.add_line("可用于购买商品的金额：" + str(keyongThing))
p.add_line("**************")
p.add_line("欢迎光临，谢谢惠顾！")
p.add_line("医琦母婴护理")
p.add_line("\n")
p.output()
print("\nAccuracy: " + str(accuracy))
# ===================== TEST DOCX =====================
docx_test = TextDS("FILES/DOCX_TO_TEXT/146844.txt", cdict, seq_len=100)
docx_test_loader = DataLoader(docx_test)
with torch.no_grad():
seq_num = 0
for x, y in docx_test_loader:
pred = model(x)
loss = criterion(pred, y.long()).squeeze()
soft_max = functional.softmax(pred, 1)
res = torch.argmax(soft_max, dim=1)
print('test loss:', loss.item())
non_zero = count_nonzero(x.numpy() - res.numpy())
original = cdict.decode(x.squeeze())
predicted = cdict.decode(res.squeeze())
if non_zero is not 0:
# tagger.add_error(docx_test.file_name, seq_num, original, predicted)
printer.add_line(original, predicted)
else:
printer.add_line(original, -1)
seq_num += 1
# tagger.print_tree_to_file()
printer.print_to_file()
