Processing Images

gen_images.py

from PIL import ImageDraw, ImageFont, Image
import episode_dl

import re

feed = '<Podcast Feed>'
pod = episode_dl.get_episodes(feed)

# Custom Code for splitting the text so that it fits on the image
# Play around with the base_n

for i, episode in enumerate(pod[::-1]):

    index = i + 2
    raw_title = episode.title.replace('/','')
    t = re.split(' with guest', raw_title, maxsplit=1, flags=re.I)
    base_n = 25

    if len(t) == 1 and len(raw_title) > base_n:
        n = base_n

        while (raw_title[n] not in  [' ', '.', '?']):
            n -= 1

        else:
            indices = [0, n + 1, len(raw_title)] # the + 1 ensures a clean word
            t = [raw_title[i:j] for i,j in zip(indices, indices[1:]+[None])]
            title = ('\n').join(t)

    else:
        title = ('\nwith guest').join(t)

    # for twitter image
    with Image.open('<IMAGE>') as im:
        font = ImageFont.truetype('Roboto-Bold.ttf', 45)
        font2 = ImageFont.truetype('Roboto-Regular.ttf', 35)
        d = ImageDraw.Draw(im)

        d.text(
                (im.width/2 - 25, im.height/4),
                f'Episode {index}:',
                font=font,
                fill=(0,0,0),
                )

        d.text(
                (im.width/2, im.height/4 + 65),
                title,
                font=font2,
                fill=(0,0,0),
                )

        clean_text = raw_title.replace('.', '')
        im.save(f'twitter/{index}-{title}.png', 'PNG')


    # for linked-in images
    with Image.open('<linkedin-image>') as im:
        font = ImageFont.truetype('Roboto-Bold.ttf', 55)
        font2 = ImageFont.truetype('Roboto-Regular.ttf', 40)
        d = ImageDraw.Draw(im)

        d.text(
                (im.width/2 - 25, im.height/4),
                f'Episode {index}:',
                font=font,
                fill=(0,0,0),
                )

        d.text(
                (im.width/2, im.height/4 + 65),
                title,
                font=font2,
                fill=(0,0,0),
                )

        clean_text = raw_title.replace('.', '')
        im.save(f'linkedin/{index}-{title}-linkedin.png', 'PNG')