#find ats score 
from sklearn.feature_extraction.text import TfidfVectorizer 
from sklearn.metrics.pairwise import cosine_similarity 
from sklearn.feature_extraction import _stop_words 
from convert import ExtractPDFText

def calculateATSscore(resume_data, job_description):
    stopwords = list(_stop_words.ENGLISH_STOP_WORDS) 
    vectorizer = TfidfVectorizer(stop_words=stopwords) 
    vectors = vectorizer.fit_transform([job_description, resume_data])
    similarity_value = cosine_similarity(vectors)
    print(similarity_value)
    # return similarity_value[0,1]
    return similarity_value[0,1]