from crawler import Crawler
from preprocess_purchase import PreprocessPurchase
from inference import Inference
from learning_purchase import Learning
from postprocess import Postprocess, Email
from datetime import datetime
data_version = datetime.now().strftime("%Y%m%d")
load_date = data_version
target = 'purchase'
mode = 'inference'
encoder_version = 'original'
model_version = 'original'
#crawling
crawler = Crawler(data_version, target)
#preprocess
prep = PreprocessPurchase(mode, data_version, encoder_version)
#inference
inf = Inference(data_version, model_version)
#postprocess
post = Postprocess(data_version, model_version)
body = post.urls()
em = Email()
msg = em.create_message(body)
em.send(msg)
spec = prep.pre_price(spec)
spec = prep.pre_bid(spec)
spec = prep.pre_transportation(spec)
spec = prep.pre_land(spec)
spec = prep.pre_area(spec)
spec = prep.pre_structure(spec)
spec = prep.pre_age(spec)
spec = prep.pre_floor(spec)
spec = prep.pre_direction(spec)
spec = prep.pre_mcost(spec)
spec = prep.pre_rcost(spec)
spec = prep.encode_cat_to_label(spec)
prep.save_spec(spec)
#inference
inf = Inference(data_version, model_version)
spec = inf.load_prep_spec()
treasure = inf.inference(spec)
inf.save_treasure(treasure)
#postprocess
post = Postprocess(data_version, model_version)
spec = post.load_result()
spec = post.decode(spec)
body = post.urls(spec)
em = Email()
msg = em.create_message(body)
em.send(msg)
else:
print('input "learning" or "inference"')