From af0b1dfb52fdce1591494b61541a37751c40500c Mon Sep 17 00:00:00 2001
From: Caleb Fultz <calebfultz@gmail.com>
Date: Tue, 13 Aug 2024 22:10:31 +0200
Subject: [PATCH] Delete mtgimagedl.py

---
 mtgimagedl.py | 72 ---------------------------------------------------
 1 file changed, 72 deletions(-)
 delete mode 100644 mtgimagedl.py

diff --git a/mtgimagedl.py b/mtgimagedl.py
deleted file mode 100644
index 1539fc7..0000000
--- a/mtgimagedl.py
+++ /dev/null
@@ -1,72 +0,0 @@
-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']['normal'], 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']['normal'], 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']
-        
-        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"{card_name.replace('/', '-').replace(':', '')}_{face_name.replace('/', '-').replace(':', '')}.jpg"
-                save_path = os.path.join(output_folder, image_file_name)
-                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 = 'downloaded_images'
-    
-    # Start the download process
-    download_images_from_csv(csv_path, output_folder)
-    print("Download completed.")
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