import json
import os
import re

from datasets import load_dataset
from PIL import Image, ImageDraw, ImageFont

FONT_PATH = "assets/Aurebesh"
FONT_SIZE = 50
IMAGE_SIZE = (784, 784)
OUTPUT_DIR = "images"

font = ImageFont.truetype(FONT_PATH, FONT_SIZE)

##### Get all words from Paul Graham Essays #####
paul_graham_ds = load_dataset("sgoel9/paul_graham_essays", split="train")
all_words = []

for entry in paul_graham_ds:
    text = str(entry["text"])  # pyright: ignore
    words = re.findall(r"\b\w+\b", text.lower())
    all_words.extend(words)


def generate_aurebesh_image(text, output_dir):
    # TODO: Generate images with various background colours
    img = Image.new("RGB", IMAGE_SIZE, color=(255, 255, 255))
    d = ImageDraw.Draw(img)

    # TODO: Experiment with various orientations
    bbox = d.textbbox((0, 0), text, font=font)
    # atm, text is rendered in the center
    text_width, text_height = bbox[2] - bbox[0], bbox[3] - bbox[1]
    position = ((IMAGE_SIZE[0] - text_width) // 2, (IMAGE_SIZE[1] - text_height) // 2)

    # Add the text to the image
    d.text(position, text, font=font, fill=(0, 0, 0))

    # Save the image
    if not os.path.exists(output_dir):
        os.makedirs(output_dir)
    img.save(os.path.join(output_dir, f"{text}.png"))


captions = []
for word in all_words:
    clean_word = re.sub(r"\W+", "", word)

    generate_aurebesh_image(clean_word, OUTPUT_DIR)

    captions.append({"file_name": f"{clean_word}.png", "text": word})

with open(os.path.join(OUTPUT_DIR, "metadata.jsonl"), "w") as f:
    for item in captions:
        f.write(json.dumps(item) + "\n")

dataset = load_dataset("imagefolder", data_dir=OUTPUT_DIR, split="all")
dataset.push_to_hub("SauravMaheshkar/aurebesh")  # pyright: ignore