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import os
import numpy as np
from keras.models import load_model
from MineSweeperLearner import MineSweeperLearner
#Prompt user to specify the model they want to use
preTrainedModels = os.listdir("trainedModels")
preTrainedModels = [i.replace(".h5","") for i in preTrainedModels if i[0] != '.']
preTrainedModels = np.sort(preTrainedModels)
prompt = "Choose which model to continue training (from 'trainedModels' folder): \n"
for i in range(len(preTrainedModels)):
prompt += str(i+1) + ". " + preTrainedModels[i] + '\n'
modelChoice = int(input(prompt))
modelChoice = preTrainedModels[modelChoice-1]
print("Loading model...")
model = load_model("trainedModels/" + modelChoice + ".h5")
learner = MineSweeperLearner(modelChoice, model)
#get batch info
nGames = int(input("How many games to test on? "))
#go
learner.testMe(nGames)
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