import os
from datasets import load_dataset
import json
import uuid
from pathlib import Path
import json
from datasets import load_dataset
from flask import Flask, request, jsonify
from flask_cors import CORS
from flask_apscheduler import APScheduler
import shutil
from PIL import Image
import sqlite3
from huggingface_hub import Repository
import subprocess

app = Flask(__name__, static_url_path='/static')

CORS(app)



Path("static/images").mkdir(parents=True, exist_ok=True)



def update_repository():
   

    print("Updating repository")
   

@ app.route('/operacao')
def index():
    return app.send_static_file('operacao.html')

@ app.route('/operacaoTemplate.html')
def operacao():
    return app.send_static_file('operacaoTemplate.html')

@ app.route('/getresource', methods=['GET'])
def getresource():
    res = request.args.get('r')
    return app.send_static_file(res)

@ app.route('/novo-front/<file>')
def novofront(file):
    newfile = 'novo-front/'+file+'.html'
    print(newfile)
    return app.send_static_file(newfile)
    
if __name__ == '__main__':
    mode = os.environ.get('FLASK_ENV', 'production')
    print(mode)
    dev = mode == 'development'
   
    print("Starting scheduler -- Running Production")
    scheduler = APScheduler()
    scheduler.add_job(id='Update Dataset Repository',
                      func=update_repository, trigger='interval', hours=1)
    scheduler.start()
   
    app.run(host='0.0.0.0',  port=int(
        os.environ.get('PORT', 7860)), debug=True, use_reloader=dev)