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6e01ea7ff8
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cad067d5cb
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import requests
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import pandas as pd
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import os
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import time
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# Function to fetch card details from Scryfall using the set code and collector number
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def fetch_card_images_by_set_and_number(set_code, collector_number):
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url = f"https://api.scryfall.com/cards/{set_code}/{collector_number}"
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response = requests.get(url)
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if response.status_code == 200:
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card_data = response.json()
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images = []
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# Handle single-sided or multi-sided cards
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if 'image_uris' in card_data:
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images.append((card_data['image_uris']['art_crop'], card_data['name']))
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if 'card_faces' in card_data:
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for face in card_data['card_faces']:
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if 'image_uris' in face:
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images.append((face['image_uris']['art_crop'], face['name']))
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return images
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else:
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print(f"Error fetching card with set code {set_code} and collector number {collector_number}: {response.status_code}")
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return None
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# Function to download and save an image
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def download_image(image_url, save_path):
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response = requests.get(image_url)
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if response.status_code == 200:
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with open(save_path, 'wb') as file:
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file.write(response.content)
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else:
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print(f"Failed to download image from {image_url}")
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# Function to process the CSV and download images
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def download_images_from_csv(csv_path, output_folder):
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# Create output directory if it doesn't exist
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if not os.path.exists(output_folder):
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os.makedirs(output_folder)
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# Read the CSV file
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df = pd.read_csv(csv_path)
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# Assuming the CSV has columns 'Card Name', 'Set Code', and 'Collector Number'
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for index, row in df.iterrows():
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card_name = row['Card Name']
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set_code = row['Set Code']
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collector_number = row['Collector Number']
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# Naming convention: set_code_card_name_face_name.jpg
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image_base_name = f"{set_code}_{card_name.replace('/', '-').replace(':', '')}"
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print(f"Processing {card_name} from set {set_code} with collector number {collector_number}...")
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images = fetch_card_images_by_set_and_number(set_code, collector_number)
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if images:
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for image_url, face_name in images:
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# Sanitize file name by removing invalid characters
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image_file_name = f"{image_base_name}_{face_name.replace('/', '-').replace(':', '')}_art_crop.jpg"
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save_path = os.path.join(output_folder, image_file_name)
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# Skip downloading if the image already exists
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if os.path.exists(save_path):
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print(f"Image already exists for {card_name} ({face_name}), skipping download.")
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continue
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download_image(image_url, save_path)
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time.sleep(0.1) # Sleep to avoid hitting API rate limits
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else:
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print(f"No images found for {card_name} from set {set_code} with collector number {collector_number}")
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# Main execution
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if __name__ == "__main__":
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# Define the path to the input CSV and output folder
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csv_path = 'cards.csv' # Replace with your CSV file path
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output_folder = 'artcrop_images'
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# Start the download process
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download_images_from_csv(csv_path, output_folder)
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print("Download completed.")
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import os
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import random
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from PIL import Image
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# Function to load, resize, and crop JPG images from a directory
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def load_resize_and_crop_images(directory, target_size):
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images = []
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for filename in os.listdir(directory):
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if filename.lower().endswith((".jpg", ".jpeg")):
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try:
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img = Image.open(os.path.join(directory, filename))
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# Calculate the aspect ratios for scaling
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img_aspect = img.width / img.height
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target_aspect = target_size[0] / target_size[1]
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if img_aspect > target_aspect:
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# Image is wider than the target: scale height and crop width
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img = img.resize((int(img_aspect * target_size[1]), target_size[1]), Image.Resampling.LANCZOS)
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left = (img.width - target_size[0]) / 2
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img = img.crop((left, 0, left + target_size[0], target_size[1]))
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else:
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# Image is taller than the target: scale width and crop height
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img = img.resize((target_size[0], int(target_size[0] / img_aspect)), Image.Resampling.LANCZOS)
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top = (img.height - target_size[1]) / 2
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img = img.crop((0, top, target_size[0], top + target_size[1]))
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images.append(img)
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except IOError:
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print(f"Warning: Unable to open image {filename}. It may be corrupted or not a valid image file.")
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return images
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# Function to create a wallpaper from images
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def create_wallpaper(images, screen_size, output_file):
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wallpaper = Image.new('RGB', screen_size)
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random.shuffle(images) # Randomize the order of images
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x_offset = 0
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y_offset = 0
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for img in images:
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img_width, img_height = img.size
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if x_offset + img_width > screen_size[0]: # Move to next row if needed
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x_offset = 0
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y_offset += img_height
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if y_offset + img_height > screen_size[1]: # Stop if out of vertical space
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break
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wallpaper.paste(img, (x_offset, y_offset))
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x_offset += img_width
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wallpaper.save(output_file, format='JPEG')
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print(f"Wallpaper saved as {output_file}")
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# Function to prompt user for screen size
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def get_screen_size():
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sizes = {
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"1": (1920, 1080),
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"2": (2560, 1440),
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"3": (3840, 2160),
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"4": (1280, 720),
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"5": (1600, 900)
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}
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print("Choose a screen size:")
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print("1: 1920x1080 (Full HD)")
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print("2: 2560x1440 (2K)")
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print("3: 3840x2160 (4K)")
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print("4: 1280x720 (HD)")
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print("5: 1600x900 (HD+)")
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choice = input("Enter the number corresponding to your choice: ")
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return sizes.get(choice, (1920, 1080)) # Default to 1920x1080 if invalid choice
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def main():
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directory = input("Enter the directory containing JPG files: ")
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screen_size = get_screen_size()
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# Determine the target size for each image based on the screen size
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# Here, we assume a grid of 5 images across and as many rows as needed
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target_size = (screen_size[0] // 5, screen_size[1] // 5)
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output_file = input("Enter the name of the output wallpaper file (e.g., wallpaper.jpg): ")
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# Ensure the output file has a .jpg extension
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if not output_file.lower().endswith('.jpg'):
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output_file += '.jpg'
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images = load_resize_and_crop_images(directory, target_size)
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if not images:
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print("No JPG files found in the directory.")
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return
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create_wallpaper(images, screen_size, output_file)
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if __name__ == "__main__":
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main()
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@ -1,96 +0,0 @@
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import csv
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import os
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import requests
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# Function to append a card entry to the CSV file
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def add_card_to_csv(csv_path, card_name, set_code, collector_number, quantity, foil):
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file_exists = os.path.isfile(csv_path)
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with open(csv_path, mode='a', newline='') as file:
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writer = csv.writer(file)
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# Write header if the file doesn't exist
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if not file_exists:
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writer.writerow(['Card Name', 'Set Code', 'Collector Number', 'Quantity', 'Foil'])
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# Append the card data
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writer.writerow([card_name, set_code, collector_number, quantity, foil])
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print(f"Added {quantity}x {card_name} from set {set_code} with collector number {collector_number} (Foil: {foil}) to {csv_path}.")
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# Function to download the full card image
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def download_full_card_image(set_code, collector_number, card_name, foil):
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url = f"https://api.scryfall.com/cards/{set_code}/{collector_number}"
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response = requests.get(url)
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if response.status_code == 200:
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card_data = response.json()
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# Determine the image URL (normal)
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image_url = card_data['image_uris']['normal'] if 'image_uris' in card_data else None
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if not image_url and 'card_faces' in card_data: # Check for double-sided cards
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image_url = card_data['card_faces'][0]['image_uris']['normal']
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if image_url:
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# Create the full_card directory if it doesn't exist
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directory = 'full_card'
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if not os.path.exists(directory):
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os.makedirs(directory)
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# Create a filename for the image
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foil_text = "_foil" if foil else ""
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file_name = f"{card_name.replace('/', '-').replace(':', '').replace(' ', '_')}_{set_code}_{collector_number}{foil_text}.jpg"
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file_path = os.path.join(directory, file_name)
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# Download and save the image
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image_response = requests.get(image_url)
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with open(file_path, 'wb') as file:
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file.write(image_response.content)
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print(f"Downloaded full card image for {card_name} (Set: {set_code}, Collector Number: {collector_number}, Foil: {foil})")
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else:
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print(f"No full card image found for {card_name} (Set: {set_code}, Collector Number: {collector_number})")
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else:
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print(f"Failed to fetch data for {card_name} (Set: {set_code}, Collector Number: {collector_number}) from Scryfall.")
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# Function to sort the CSV file by Set Code and Collector Number
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def sort_csv_file(csv_path):
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with open(csv_path, mode='r') as file:
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reader = csv.reader(file)
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header = next(reader) # Read the header
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sorted_rows = sorted(reader, key=lambda row: (row[1], int(row[2]))) # Sort by Set Code (row[1]) and Collector Number (row[2]))
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# Write the sorted data back to the CSV
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with open(csv_path, mode='w', newline='') as file:
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writer = csv.writer(file)
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writer.writerow(header) # Write the header back
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writer.writerows(sorted_rows) # Write the sorted rows
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print(f"CSV file sorted by Set Code and Collector Number.")
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# Function to get user input and add multiple cards interactively
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def interactive_card_entry(csv_path):
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while True:
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# Get the card details from the user
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card_name = input("Enter the card name (or type 'exit' to quit): ").strip()
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if card_name.lower() == 'exit':
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print("Exiting the program.")
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break
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set_code = input("Enter the set code: ").strip()
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collector_number = input("Enter the collector number: ").strip()
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quantity = int(input("Enter the quantity: ").strip())
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foil = input("Is this card a foil? (yes/no): ").strip().lower() == 'yes'
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# Add the card to the CSV file
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add_card_to_csv(csv_path, card_name, set_code, collector_number, quantity, foil)
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# Download the full card image
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download_full_card_image(set_code, collector_number, card_name, foil)
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# Sort the CSV file after each entry
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sort_csv_file(csv_path)
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if __name__ == "__main__":
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csv_path = input("Enter the path to the CSV file: ").strip()
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interactive_card_entry(csv_path)
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