import logging
import constants
import requests
from PIL import Image, ImageDraw, ImageFont

# Enable logging
logging.basicConfig(
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.INFO
)

logger = logging.getLogger(__name__)

httpx_logger = logging.getLogger('httpx')
httpx_logger.setLevel(logging.WARNING)

def create_image(product_id, price):
    width = 1280
    height = 800
    baseheight = int(height * 0.85)
    # límite de ancho para la parte izquierda (producto)
    wlimit = int(((width / 3) * 2) - 80)
    # límite de ancho para los logos (homelabers y amazon)
    wlogo = int(width * 0.2)
    # fuente y tamaño
    font = ImageFont.truetype("/app/data/fonts/Roboto-Bold.ttf", 90)
    # inicializamos canvas
    image = Image.new('RGBA', (width, height), (255, 255, 255))
    # logo homelabers, redimensionamos y ponemos en la parte derecha arriba
    logo_image = Image.open("/app/data/images/homelabs_logo.png").convert("RGBA")
    lpercent = wlogo / float(logo_image.size[0])
    hlogo = int((float(logo_image.size[1]) * float(lpercent)))
    logo_image = logo_image.resize((wlogo, hlogo), Image.Resampling.LANCZOS)
    image.paste(logo_image, (int((width / 6) * 5 - logo_image.size[0] / 2), int(height * 0.1)), logo_image)
    # logo amazon, redimensionamos y ponemos en la parte derecha abajo
    amazon_logo = Image.open("/app/data/images/Amazon_logo.png").convert("RGBA")
    lpercent = wlogo / float(amazon_logo.size[0])
    hlogo = int((float(amazon_logo.size[1]) * float(lpercent)))
    amazon_logo = amazon_logo.resize((wlogo, hlogo), Image.Resampling.LANCZOS)
    image.paste(amazon_logo, (int((width / 6) * 5 - amazon_logo.size[0] / 2), int(height - height * 0.2)), amazon_logo)
    # dibujamos rectángulo verde externo, con un margen externo y ancho determinado
    draw = ImageDraw.Draw(image)
    wtext, htext = draw.textsize(price, font=font)
    draw.text(((width / 6) * 5 - wtext / 2, height / 2 - htext / 2), price, (0, 0, 0), font=font)
    draw.rectangle([15, 15, width - 15, height - 15], width = 15, outline="#20e163")
    # ponemos la imagen del producto en la parte izquierda y se redimensiona dependiendo de lo ancho
    try:
        product_image = Image.open(f"/app/data/images/products/{product_id}.jpg")
    except:
        product_image = Image.open(f"/app/data/images/placeholder.png")
    hpercent = (baseheight / float(product_image.size[1]))
    wsize = int((float(product_image.size[0]) * float(hpercent)))
    if wsize < wlimit:
        product_image = product_image.resize((wsize, baseheight), Image.Resampling.LANCZOS)
    else:
        wpercent = wlimit / float(product_image.size[0])
        hsize = int((float(product_image.size[1]) * float(wpercent)))
        product_image = product_image.resize((wlimit, hsize), Image.Resampling.LANCZOS)
    image.paste(product_image, (int((width/3)-(product_image.size[0]/2)), int((height/2) - (product_image.size[1]/2))))
    # guardamos la imagen con otro nombre
    image.save(f"/app/data/images/products/{product_id}_composed.png", quality=95)

def new_refer_url(pcode, extraparams=None):
    return constants.baseURL+pcode+"?tag="+constants.affiliate_tag+extraparams

def unshort_url(url):
    session = requests.Session()
    #resp = session.head("https://"+url, allow_redirects=True)
    resp = session.get("https://"+url, allow_redirects=True)
    logging.info(f"Unshorted URL: {resp.url}")
    return resp.url