Created new scripts for downloading art_crops

art_image_dl.py

@@ -0,0 +1,81 @@
+import requests
+import pandas as pd
+import os
+import time
+
+# Function to fetch card details from Scryfall using the set code and collector number
+def fetch_card_images_by_set_and_number(set_code, collector_number):
+    url = f"https://api.scryfall.com/cards/{set_code}/{collector_number}"
+    response = requests.get(url)
+    
+    if response.status_code == 200:
+        card_data = response.json()
+        images = []
+        
+        # Handle single-sided or multi-sided cards
+        if 'image_uris' in card_data:
+            images.append((card_data['image_uris']['art_crop'], card_data['name']))
+        if 'card_faces' in card_data:
+            for face in card_data['card_faces']:
+                if 'image_uris' in face:
+                    images.append((face['image_uris']['art_crop'], face['name']))
+        return images
+    else:
+        print(f"Error fetching card with set code {set_code} and collector number {collector_number}: {response.status_code}")
+        return None
+
+# Function to download and save an image
+def download_image(image_url, save_path):
+    response = requests.get(image_url)
+    if response.status_code == 200:
+        with open(save_path, 'wb') as file:
+            file.write(response.content)
+    else:
+        print(f"Failed to download image from {image_url}")
+
+# Function to process the CSV and download images
+def download_images_from_csv(csv_path, output_folder):
+    # Create output directory if it doesn't exist
+    if not os.path.exists(output_folder):
+        os.makedirs(output_folder)
+    
+    # Read the CSV file
+    df = pd.read_csv(csv_path)
+    
+    # Assuming the CSV has columns 'Card Name', 'Set Code', and 'Collector Number'
+    for index, row in df.iterrows():
+        card_name = row['Card Name']
+        set_code = row['Set Code']
+        collector_number = row['Collector Number']
+        
+        # Naming convention: set_code_card_name_face_name.jpg
+        image_base_name = f"{set_code}_{card_name.replace('/', '-').replace(':', '')}"
+        
+        print(f"Processing {card_name} from set {set_code} with collector number {collector_number}...")
+        
+        images = fetch_card_images_by_set_and_number(set_code, collector_number)
+        if images:
+            for image_url, face_name in images:
+                # Sanitize file name by removing invalid characters
+                image_file_name = f"{image_base_name}_{face_name.replace('/', '-').replace(':', '')}_art_crop.jpg"
+                save_path = os.path.join(output_folder, image_file_name)
+                
+                # Skip downloading if the image already exists
+                if os.path.exists(save_path):
+                    print(f"Image already exists for {card_name} ({face_name}), skipping download.")
+                    continue
+                
+                download_image(image_url, save_path)
+                time.sleep(0.1)  # Sleep to avoid hitting API rate limits
+        else:
+            print(f"No images found for {card_name} from set {set_code} with collector number {collector_number}")
+
+# Main execution
+if __name__ == "__main__":
+    # Define the path to the input CSV and output folder
+    csv_path = 'cards.csv'  # Replace with your CSV file path
+    output_folder = 'artcrop_images'
+    
+    # Start the download process
+    download_images_from_csv(csv_path, output_folder)
+    print("Download completed.")

create_wallpaper.py

@@ -0,0 +1,102 @@
+import os
+import random
+from PIL import Image
+
+# Function to load, resize, and crop JPG images from a directory
+def load_resize_and_crop_images(directory, target_size):
+    images = []
+    for filename in os.listdir(directory):
+        if filename.lower().endswith((".jpg", ".jpeg")):
+            try:
+                img = Image.open(os.path.join(directory, filename))
+                
+                # Calculate the aspect ratios for scaling
+                img_aspect = img.width / img.height
+                target_aspect = target_size[0] / target_size[1]
+                
+                if img_aspect > target_aspect:
+                    # Image is wider than the target: scale height and crop width
+                    img = img.resize((int(img_aspect * target_size[1]), target_size[1]), Image.Resampling.LANCZOS)
+                    left = (img.width - target_size[0]) / 2
+                    img = img.crop((left, 0, left + target_size[0], target_size[1]))
+                else:
+                    # Image is taller than the target: scale width and crop height
+                    img = img.resize((target_size[0], int(target_size[0] / img_aspect)), Image.Resampling.LANCZOS)
+                    top = (img.height - target_size[1]) / 2
+                    img = img.crop((0, top, target_size[0], top + target_size[1]))
+                
+                images.append(img)
+            except IOError:
+                print(f"Warning: Unable to open image {filename}. It may be corrupted or not a valid image file.")
+    return images
+
+# Function to create a wallpaper from images
+def create_wallpaper(images, screen_size, output_file):
+    wallpaper = Image.new('RGB', screen_size)
+    
+    random.shuffle(images)  # Randomize the order of images
+    
+    x_offset = 0
+    y_offset = 0
+    
+    for img in images:
+        img_width, img_height = img.size
+        
+        if x_offset + img_width > screen_size[0]:  # Move to next row if needed
+            x_offset = 0
+            y_offset += img_height
+        
+        if y_offset + img_height > screen_size[1]:  # Stop if out of vertical space
+            break
+        
+        wallpaper.paste(img, (x_offset, y_offset))
+        x_offset += img_width
+    
+    wallpaper.save(output_file, format='JPEG')
+    print(f"Wallpaper saved as {output_file}")
+
+# Function to prompt user for screen size
+def get_screen_size():
+    sizes = {
+        "1": (1920, 1080),
+        "2": (2560, 1440),
+        "3": (3840, 2160),
+        "4": (1280, 720),
+        "5": (1600, 900)
+    }
+    
+    print("Choose a screen size:")
+    print("1: 1920x1080 (Full HD)")
+    print("2: 2560x1440 (2K)")
+    print("3: 3840x2160 (4K)")
+    print("4: 1280x720 (HD)")
+    print("5: 1600x900 (HD+)")
+    
+    choice = input("Enter the number corresponding to your choice: ")
+    
+    return sizes.get(choice, (1920, 1080))  # Default to 1920x1080 if invalid choice
+
+def main():
+    directory = input("Enter the directory containing JPG files: ")
+    screen_size = get_screen_size()
+    
+    # Determine the target size for each image based on the screen size
+    # Here, we assume a grid of 5 images across and as many rows as needed
+    target_size = (screen_size[0] // 5, screen_size[1] // 5)
+    
+    output_file = input("Enter the name of the output wallpaper file (e.g., wallpaper.jpg): ")
+    
+    # Ensure the output file has a .jpg extension
+    if not output_file.lower().endswith('.jpg'):
+        output_file += '.jpg'
+    
+    images = load_resize_and_crop_images(directory, target_size)
+    
+    if not images:
+        print("No JPG files found in the directory.")
+        return
+    
+    create_wallpaper(images, screen_size, output_file)
+
+if __name__ == "__main__":
+    main()

interactive_cards_with_dl.py

@@ -0,0 +1,96 @@
+import csv
+import os
+import requests
+
+# Function to append a card entry to the CSV file
+def add_card_to_csv(csv_path, card_name, set_code, collector_number, quantity, foil):
+    file_exists = os.path.isfile(csv_path)
+    
+    with open(csv_path, mode='a', newline='') as file:
+        writer = csv.writer(file)
+        
+        # Write header if the file doesn't exist
+        if not file_exists:
+            writer.writerow(['Card Name', 'Set Code', 'Collector Number', 'Quantity', 'Foil'])
+        
+        # Append the card data
+        writer.writerow([card_name, set_code, collector_number, quantity, foil])
+    
+    print(f"Added {quantity}x {card_name} from set {set_code} with collector number {collector_number} (Foil: {foil}) to {csv_path}.")
+
+# Function to download the art crop image
+def download_art_crop_image(set_code, collector_number, card_name, foil):
+    url = f"https://api.scryfall.com/cards/{set_code}/{collector_number}"
+    response = requests.get(url)
+    
+    if response.status_code == 200:
+        card_data = response.json()
+        
+        # Determine the image URL (art_crop)
+        image_url = card_data['image_uris']['art_crop'] if 'image_uris' in card_data else None
+        if not image_url and 'card_faces' in card_data:  # Check for double-sided cards
+            image_url = card_data['card_faces'][0]['image_uris']['art_crop']
+        
+        if image_url:
+            # Create the art_crop directory if it doesn't exist
+            directory = 'art_crop'
+            if not os.path.exists(directory):
+                os.makedirs(directory)
+
+            # Create a filename for the image
+            foil_text = "_foil" if foil else ""
+            file_name = f"{card_name.replace('/', '-').replace(':', '').replace(' ', '_')}_{set_code}_{collector_number}{foil_text}.jpg"
+            file_path = os.path.join(directory, file_name)
+
+            # Download and save the image
+            image_response = requests.get(image_url)
+            with open(file_path, 'wb') as file:
+                file.write(image_response.content)
+            
+            print(f"Downloaded art crop image for {card_name} (Set: {set_code}, Collector Number: {collector_number}, Foil: {foil})")
+        else:
+            print(f"No art crop image found for {card_name} (Set: {set_code}, Collector Number: {collector_number})")
+    else:
+        print(f"Failed to fetch data for {card_name} (Set: {set_code}, Collector Number: {collector_number}) from Scryfall.")
+
+# Function to sort the CSV file by Set Code and Collector Number
+def sort_csv_file(csv_path):
+    with open(csv_path, mode='r') as file:
+        reader = csv.reader(file)
+        header = next(reader)  # Read the header
+        sorted_rows = sorted(reader, key=lambda row: (row[1], int(row[2])))  # Sort by Set Code (row[1]) and Collector Number (row[2]))
+
+    # Write the sorted data back to the CSV
+    with open(csv_path, mode='w', newline='') as file:
+        writer = csv.writer(file)
+        writer.writerow(header)  # Write the header back
+        writer.writerows(sorted_rows)  # Write the sorted rows
+
+    print(f"CSV file sorted by Set Code and Collector Number.")
+
+# Function to get user input and add multiple cards interactively
+def interactive_card_entry(csv_path):
+    while True:
+        # Get the card details from the user
+        card_name = input("Enter the card name (or type 'exit' to quit): ").strip()
+        if card_name.lower() == 'exit':
+            print("Exiting the program.")
+            break
+
+        set_code = input("Enter the set code: ").strip()
+        collector_number = input("Enter the collector number: ").strip()
+        quantity = int(input("Enter the quantity: ").strip())
+        foil = input("Is this card a foil? (yes/no): ").strip().lower() == 'yes'
+        
+        # Add the card to the CSV file
+        add_card_to_csv(csv_path, card_name, set_code, collector_number, quantity, foil)
+
+        # Download the art crop image
+        download_art_crop_image(set_code, collector_number, card_name, foil)
+
+        # Sort the CSV file after each entry
+        sort_csv_file(csv_path)
+
+if __name__ == "__main__":
+    csv_path = input("Enter the path to the CSV file: ").strip()
+    interactive_card_entry(csv_path)