import nltk
import nltk.downloader
import spacy
from core.config import settings
from pathlib import Path
import en_core_web_sm

def initialize_nlp():
    print("Initializing NLP resources...")

    # nltk_data_path = Path("/tmp/nltk_data")
    # nltk_data_path.mkdir(parents=True, exist_ok=True)
    # nltk.data.path.append(str(nltk_data_path))
    
    # # Download NLTK resources
    nltk_resources = [
        'maxent_ne_chunker',
        'words',
        'treebank',
        'maxent_treebank_pos_tagger',
        'punkt',
        'averaged_perceptron_tagger'
    ]
    
    # for resource in nltk_resources:
    #     nltk.downloader.download(resource, download_dir=str(nltk_data_path) ,quiet=True)
    
    # Load spaCy model
    # spacy.load(settings.SPACY_MODEL)
    spacy.load("en_core_web_sm")
    en_core_web_sm.load()
    for resource in nltk_resources:
        nltk.download(nltk_resources)
    print("NLP resources initialized successfully.")

# Global variables to store initialized resources
nlp = None
nltk_initialized = False

def get_nlp():
    global nlp
    if nlp is None:
        nlp = spacy.load(settings.SPACY_MODEL)
    return nlp

def get_nltk():
    global nltk_initialized
    if not nltk_initialized:
        nltk.downloader.download('punkt', quiet=True)
        nltk.download('averaged_perceptron_tagger', quiet=True)
        nltk_initialized = True
    return nltk