drawCard.py

import funPIL as df
import io
import base64
import files
from PIL import Image, ImageDraw

# Declaring card template
size = 100
CARDB, CARDD = df.backgroundPNG(int(size*1), int(size*1.3), 'white')
CARDB = df.roundCorners(CARDB, int(size*0.05))
FONTPATH = 'C:\\Windows\\Fonts\\Arial.ttf' # Change needed for detecting os and correct path
# BASE64 files


def main(card):
    
    # Start with blank card
    cardB = CARDB.copy()
    cardD = ImageDraw.Draw(cardB)

    # Choose color for font
    if card.suit in ["♣", "♠"]:
        cardColor = 'black'
    elif card.suit in ["♥", "♦"]:
        cardColor = 'red'
    
    # Replace high cards with symbols
    number = card.number
    if number in [i for i in range(11, 15)]:
        number = ["J", "Q", "K", "A"][number - 11]

    # Links to which base64 image it should be used
    pasteSuit = ["♣", "♠", "♥", "♦"].index(card.suit)
    pasteSuit = [files.club, files.spade, files.heart, files.diamond][pasteSuit]
    
    # Open the base64 image and adapts it
    pasteSuit = Image.open(io.BytesIO(base64.b64decode(pasteSuit))).convert('RGBA')
    pasteSuit, _ = df.resize(pasteSuit, *[int(size*0.25)]*2)

    # Define font
    font = df.fontDefiner(FONTPATH, int(size*0.175))
    # Define coordinates
    x,y = int(size*0.125), int(size*0.075)
    # Define coordinates for pasting suit image
    center = df.getSize(str(number), font)
    w, h = x + center[0] // 2 - pasteSuit.width//2, y+center[1] + int(size*0.025)

    
    # Draw number / symbol, rotate, redo, exit
    for i in range(2):
        cardD = df.drawText(x, y, cardD, str(number), cardColor, font)
        cardB = df.pasteItem(cardB, pasteSuit, w, h)
        if i != 1:
            cardB, cardD = df.rotate(cardB, 180)
            #cardD = ImageDraw.Draw(cardB)
 

    # Define font but bigger
    font = df.fontDefiner(FONTPATH, int(size*0.5))

    # Draw big symbol at center
    center = [each//2 for each in cardB.size]
    cardD = df.drawText(*center, cardD, str(number), cardColor, font, anchor='mm')

    # Deleting for possible memory leak
    del pasteSuit
    del cardD    

    # Return image in data
    return df.image_to_data(cardB)