import re
from decimal import Decimal
from django.conf import settings
from .models import Staff
from nlu_job.nlu_utils import model_inference

nlp = settings.MODEL

nlu_url = settings.NLU_SERVER_URI


def get_all_names(text):
    res = model_inference(text)
    entities = res.get('entities')
    names = {ent.get('value') for ent in entities if ent.get('entity') in ['PERSON', 'ORG']}
    return names


def all_staffs(location):
    names = []
    staffs = Staff.objects.filter(location=location)
    for s in staffs:
        names.extend(s.get_nick_names)
    return set(names)


def clean_text(text):
    # replace some letter in text for getting better performance
    text = re.sub(r':\s*', ' ', text)
    text = re.sub(r'&', ', ', text)
    text = re.sub(r'/', ', ', text)
    text = re.sub(r'\.*\n\.*', '.', text)
    text = re.sub(r'[dD][rR](\.|\s*)*', 'Dr. ', text)
    return text


def extract_names(review):
    text = clean_text(review.comment)
    # doc = nlp(text)
    # names = {ent.text for ent in doc.ents if ent.label_ in ['PERSON', 'ORG']}

    names = get_all_names(text)
    cleaned_names = []
    for name in names:
        for n in name.split():
            cleaned_names.append(n) if n.lower() in all_staffs(review.location) else None
    return cleaned_names


def add_point_to_staff_profile(review):
    staffs = Staff.objects.filter(location=review.location)
    names = extract_names(review)
    point_unit = Decimal(1/len(names)) if not names == [] else 0

    for name in names:
        for staff in staffs:
            if name.lower() in staff.get_nick_names:
                staff.name_mentioned += 1
                staff.total_units += point_unit
                staff.save()


def make_all_staffs_point_zero():
    staffs = Staff.objects.all()
    for s in staffs:
        s.total_units = 0
        s.name_mentioned = 0
        s.save()


def extract_names_from_reviews(reviews):
    for review in reviews:
        add_point_to_staff_profile(review)