"""Profanity check exposed methods"""
import pkg_resources
import numpy as np
import joblib

vectorizer = joblib.load(
    pkg_resources.resource_filename("profanity_check", "data/vectorizer.joblib")
)
model = joblib.load(
    pkg_resources.resource_filename("profanity_check", "data/model.joblib")
)


def _get_profane_prob(prob):
    return prob[1]


def predict(texts):
    """Predict texts array"""
    return model.predict(vectorizer.transform(texts))


def predict_prob(texts):
    """Predict texts array returning probabilities"""
    return np.apply_along_axis(
        _get_profane_prob, 1, model.predict_proba(vectorizer.transform(texts))
    )