import os.path

from nltk import *
from sklearn.feature_extraction.text import ENGLISH_STOP_WORDS

from Pinpoint.Logger import *

# If NLTK data doesn't exist, downloads it
try:
    tagged = pos_tag(["test"])
except LookupError:
    download()


# nltk.download() #todo how to get this to run once?

class sanitization():
    """
    This class is used to sanitize a given corpus of data. In turn removing stop words, stemming words, removing small
    words, removing no alphabet words, and setting words to lower case. To save on repeat runs a local copy of the
    serialised corpus is saved that is used unless this feature is overwritten.
    """

    def sanitize(self, text, output_folder, force_new_data_and_dont_persisit=False):
        """
        Entry function for sanitizing text
        :param text:
        :param force_new_data_and_dont_persisit:
        :return: sanitized text
        """
        sanitize_file_name = os.path.join(output_folder, "{}-sanitized_text.txt".format(uuid.uuid4()))
        final_text = ""

        # If a file exists don't sanitize given text
        if os.path.isfile(sanitize_file_name) and not force_new_data_and_dont_persisit:
            logger.print_message("Sanitized file exists. Using data")

            with open(sanitize_file_name, 'r', encoding="utf8") as file_to_write:
                final_text = file_to_write.read()

        else:
            total_words = len(text.split(" "))
            number = 0
            logger.print_message("Starting sanitization... {} words to go".format(total_words))
            for word in text.split(" "):
                number = number + 1
                word = self.remove_non_alpha(word)
                word = self.lower(word)
                word = self.stemmer(word)
                word = self.remove_stop_words(word)
                word = self.remove_small_words(word)

                if word is None:
                    continue

                final_text = final_text + word + " "
                logger.print_message("Completed {} of {} sanitized words".format(number, total_words))

            final_text = final_text.replace("  ", " ")

            if not force_new_data_and_dont_persisit:
                with open(sanitize_file_name, 'w', encoding="utf8") as file_to_write:
                    file_to_write.write(final_text)

        final_text = final_text.strip()
        return final_text

    def stemmer(self, word):
        """
        Get stemms of words
        :param word:
        :return: the stemmed word using port stemmer
        """

        porter = PorterStemmer()

        # todo anouther stemmer be assessed?
        # lancaster = LancasterStemmer()
        # stemmed_word = lancaster.stem(word)
        stemmed_word = porter.stem(word)

        return stemmed_word

    def lower(self, word):
        """
        get the lower case representation of words
        :param word:
        :return: the lowercase representation of the word
        """
        return word.lower()

    def remove_stop_words(self, text):
        """
        Remove stop words
        :param text:
        :return: the word without stop words
        """

        text_without_stopwords = [word for word in text.split() if word not in ENGLISH_STOP_WORDS]

        final_string = ""

        for word in text_without_stopwords:
            final_string = final_string + word + " "

        return final_string

    def remove_non_alpha(self, word):
        """
        Removes non alphabet characters (Excluding spaces)
        :param word:
        :return: the word with non-alpha characters removed
        """
        word = word.replace("\n", " ").replace("\t", " ").replace("  ", " ")
        regex = re.compile('[^a-zA-Z ]')

        return regex.sub('', word)

    def remove_small_words(self, word, length_to_remove_if_not_equal=4):
        """
        Removes words that are too small, defaults to words words length 3 characters or below which are removed.
        :param word:
        :param length_to_remove_if_not_equal:
        :return: "" if word below 3 characters or the word if above
        """

        new_word = ""
        if len(word) >= length_to_remove_if_not_equal:
            new_word = word

        return new_word