from machine_learning import model, words, labels, ans_data, nlp
import datetime
import random
import numpy



def bag_of_words(s, words):
    bag = [0 for _ in range(len(words))]
    s_words = nlp(s.lower())
    s_words = [word.lemma_ for word in s_words]

    for se in s_words:
        for i, w in enumerate(words):
            if w == se:
                bag[i] = 1
            
    return numpy.array(bag)

unknown = ["I'm afraid I don't follow; could you perhaps give more detail?", 
           "I'm sorry, but I need you to elaborate a little bit more.", "I don't understand, can you try another question?"]

def chat():
    print("Start talking with the bot (type quit to stop)!")
    print("\n---------------------------------------------\nCellanet: Hello there!")
    while True:
        inp = input("You: ")
        if inp.lower() == "quit":
            break

        results = model.predict([bag_of_words(inp, words)])
#         print(f"Predict: {results}\n")
        results_index = numpy.argmax(results)
        
        max_result = numpy.max(results)
#         print(f"max: {max_result}")
        
        if max_result < 0.65:
            tag = 'unknown'
        else:
            tag = labels[results_index]
        
        responses = []
        print(f"({tag})")
        
        if tag in ans_data:
            if tag == 'what time':
                responses.append(f"Now is {datetime.datetime.now()}.")
            else:
                for x in ans_data[tag]:
                    for z in x:
                        responses.append(z)
        else:
            for x in unknown:
                responses.append(x)
            
            
        print('Cellanet:', random.choice(responses))
        # return f"Cellanet: {random.choice(responses)}."


def onlineChat(inp):
    print("\n---------------------------------------------\n")
    while True:
        # inp = input("You: ")
        if inp.lower() == "quit":
            break

        results = model.predict([bag_of_words(inp, words)])
#         print(f"Predict: {results}\n")
        results_index = numpy.argmax(results)
        
        max_result = numpy.max(results)
#         print(f"max: {max_result}")
        
        if max_result < 0.05:
            tag = 'unknown'
        else:
            tag = labels[results_index]
        
        responses = []
        print(f"({tag})")
        
        if tag in ans_data:
            if tag == 'what time':
                responses.append(f"Now is {datetime.datetime.now()}.")
            else:
                for x in ans_data[tag]:
                    for z in x:
                        responses.append(z)
        else:
            for x in unknown:
                responses.append(f"{x}")

        f = open('question and answer.txt', 'a')
        f.write(f"- - {inp}\n  - {random.choice(responses)}.\n\n\n")
        f.close()

        return f"Cellanet: {random.choice(responses)}"



# chat()