import os
import tensorflow as tf
import pandas as pd
from keras import utils

build_number = int(os.environ['BUILD_NUMBER'])
model = tf.keras.models.load_model('model')

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

y_to_test = utils.to_categorical(y_to_test)

metrics = model.evaluate(x_to_test, y_to_test)

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

predictions = model.predict(x_to_test)

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