import pandas
import os

from keras.applications.densenet import layers

from sklearn.model_selection import train_test_split
import tensorflow

build_number = int(os.environ['BUILD_NUMBER'])

reloaded = tensorflow.keras.models.load_model('test')

x_to_test = pandas.read_csv('./X_test.csv')
y_to_test = pandas.read_csv('./Y_test.csv')

accu = reloaded.evaluate(x_to_test, y_to_test)


with open('metrics.csv', 'a') as file:
    file.write(f'{build_number},{accu}\n')

pre = reloaded.predict(x_to_test)

pre.tofile('prediction.csv', sep=',', format='%s')