import csv from PIL import Image, ImageDraw, ImageFont import os import concurrent.futures from functools import partial import time def generate_certificate(template_path, font_path, name, output_path, index, font_size=50, text_color="black", y_offset=0): with Image.open(template_path) as image: # Colorspace and Drawable Area image = image.convert("RGB") draw = ImageDraw.Draw(image) # Load the specified font at the desired size font = ImageFont.truetype(font_path, font_size) # Image dimensions image_width, image_height = image.size # bounding box for text bbox = draw.textbbox((0, 0), name, font=font) text_width = bbox[2] - bbox[0] text_height = bbox[3] - bbox[1] # coordinates for centered text x = (image_width - text_width) / 2 y = (image_height - text_height) / 2 + y_offset draw.text((x, y), name, fill=text_color, font=font) output_filename = os.path.join(output_path, f"certificate_{index:03d}.jpg") image.save(output_filename, quality=95) # Set JPG quality print(f"Saved certificate for {name} as {output_filename}") def process_certificate(row, i, template_path, font_path, output_folder, font_size, text_color, y_offset): name = row["name"].upper() generate_certificate(template_path, font_path, name, output_folder, i, font_size, text_color, y_offset) def main(): start_time = time.time() template_path = "cert.jpg" # Certificate template image filename (JPG format) font_path = "CrimsonText-Bold.ttf" # Path to the font file (TTF or OTF) csv_file = "participants.csv" # CSV file containing the name list output_folder = "certificates" # Output folder for generated certificates font_size = 92 text_color = "black" y_offset = -82 # number of workers - for multithreading cpu_count = os.cpu_count() max_workers = min(32, (cpu_count + 4) if cpu_count is not None else 4) if not os.path.exists(output_folder): os.makedirs(output_folder) # concurrent reading from CSV with open(csv_file, newline='', encoding='utf-8') as csvfile: reader = csv.DictReader(csvfile) participants = list(reader) # partial function with all the fixed parameters process_func = partial( process_certificate, template_path=template_path, font_path=font_path, output_folder=output_folder, font_size=font_size, text_color=text_color, y_offset=y_offset ) # Process certificates in parallel with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor: # task submission futures = [executor.submit(process_func, row, i) for i, row in enumerate(participants, start=1)] # completion wait concurrent.futures.wait(futures) elapsed_time = time.time() - start_time print(f"Completed generating {len(participants)} certificates in {elapsed_time:.2f} seconds") if __name__ == "__main__": main()