cleanup
This commit is contained in:
Caleb Fultz
parent
cf7058e8e2
commit
e6312f7933
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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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48
cards.csv
48
cards.csv
@ -1,48 +0,0 @@
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Card Name,Set Code,Collector Number,Quantity,Foil
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"Flubs, The Fool",blc,356,1,True
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"Flubs, The Fool",blc,356,1,False
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Skemfar Shadowsage,sld,759,3,True
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Pollenbright Druid,sld,776,1,True
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Timberwatch Elf,sld,780,2,True
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Frilled Mystic,sld,786,1,True
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Coveted Jewel,sld,799,1,False
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The Scorpion God,sld,904,1,True
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"Linda, Kandarian Queen",sld,1355,1,True
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Felidar Guardian,sld,1487,1,False
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Peregrine Drake,sld,1488,1,False
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Serpent of Yawning Depths,sld,1489,1,False
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Scourage of Valkas,sld,1490,1,False
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Voracious Hydra,sld,1491,1,False
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Wall of Omens,sld,1518,1,False
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Circular Logic,sld,1519,1,False
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Scheming Symmentry,sld,1520,1,False
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Price of Progress,sld,1521,1,False
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Eternal Witness,sld,1522,1,False
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Sakashima of a Thousand Faces,sld,1541,1,False
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"Yargle, Glutton of Urborg",sld,1542,1,False
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"Krark, The Thumbless",sld,1543,1,False
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"Adrix and Nev, Twincasters",sld,1544,1,False
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Arcance Denial,sld,1545,1,False
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Nightscape Familiar,sld,1546,1,False
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Rain of Filth,sld,1547,1,False
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Simian Spirit Guide,sld,1548,1,False
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Prince of Thralls,sld,1549,1,False
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"Gonti, Lord of Luxury",sld,1566,1,False
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"Vilis, Broker of Blood",sld,1567,1,False
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"Anowon, the Ruin Thief",sld,1568,1,False
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"Grenzo, Dungeon Warden",sld,1569,1,False
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Reconnasissance,sld,1575,1,False
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"Jace, Wielder of Mysteries",sld,1576,1,False
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Black Market,sld,1577,1,False
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Dire Undercurrents,sld,1578,1,False
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"Obeka, Brute Chronolgoist",sld,1579,1,False
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Sorin Markov,sld,1698,1,False
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Sorin Markov,sld,1698,1,True
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"Huatli, Radiant Champion",sld,1699,1,False
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"Huatli, Radiant Champion",sld,1699,1,True
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"Kiora, Behemoth Beckoner",sld,1700,1,False
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"Kiora, Behemoth Beckoner",sld,1700,1,True
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"Tezzeret, Master of the Bridge",sld,1701,1,False
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"Tezzeret, Master of the Bridge",sld,1701,1,True
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"Vraska, Golgari Queen",sld,1702,1,False
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"Vraska, Golgari Queen",sld,1702,1,True
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60
cli_cards.py
60
cli_cards.py
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import csv
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import os
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import argparse
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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 parse and add multiple cards
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def add_multiple_cards(csv_path, card_entries):
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for entry in card_entries:
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card_name, set_code, collector_number, quantity, foil = entry
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add_card_to_csv(csv_path, card_name, set_code, collector_number, quantity, foil)
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# Main function to handle command-line arguments
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def main():
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parser = argparse.ArgumentParser(description="Add one or more Magic: The Gathering cards to a CSV file.")
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parser.add_argument('csv_path',
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help="The path to the CSV file where the card data will be stored. If the file does not exist, it will be created.")
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# Allow multiple --card entries
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parser.add_argument('--card',
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action='append',
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nargs=5,
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metavar=('Card_Name', 'Set_Code', 'Collector_Number', 'Quantity', 'Foil'),
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help=("Add a card to the CSV file. "
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"Each card entry should be specified in the following format: "
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"Card_Name Set_Code Collector_Number Quantity Foil. "
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"Foil should be 'True' or 'False' indicating if the card is foil or not. "
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"This option can be used multiple times to add multiple cards in one command. "))
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args = parser.parse_args()
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if args.card:
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card_entries = []
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for card in args.card:
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card_name, set_code, collector_number, quantity, foil = card
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quantity = int(quantity)
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foil = foil.lower() == 'true' # Convert the foil input to a boolean
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card_entries.append((card_name, set_code, collector_number, quantity, foil))
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add_multiple_cards(args.csv_path, card_entries)
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else:
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print("No cards provided. Use the --card option to add cards.")
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if __name__ == "__main__":
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main()
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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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@ -1,80 +0,0 @@
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import requests
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def refactor_commander_name(name):
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# Replace spaces, commas, and apostrophes with dashes, and convert to lowercase
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name = name.replace(" ", "-").replace(",", "").replace("'", "")
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return name.lower()
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def fetch_edhrec_data(commander_name):
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url = f"https://json.edhrec.com/pages/commanders/{commander_name}.json"
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response = requests.get(url)
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if response.status_code == 200:
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return response.json()
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else:
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print(f"Failed to fetch data for {commander_name}")
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return None
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def fetch_card_name_from_scryfall(uuid):
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scryfall_url = f"https://api.scryfall.com/cards/{uuid}"
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response = requests.get(scryfall_url)
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if response.status_code == 200:
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data = response.json()
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return data['name']
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else:
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print(f"Failed to fetch card name from Scryfall for UUID: {uuid}")
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return None
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def extract_uuids_and_quantities_from_archidekt(edhrec_data):
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card_info = []
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if 'archidekt' in edhrec_data:
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for idx, deck_section in enumerate(edhrec_data['archidekt']):
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if isinstance(deck_section, dict) and 'u' in deck_section and 'q' in deck_section:
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uuid = deck_section['u']
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quantity = deck_section['q']
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card_info.append((uuid, quantity))
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else:
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print("No Archidekt section found in the EDHREC data.")
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return card_info
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def fetch_card_names_from_uuids(card_info):
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card_entries = []
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for uuid, quantity in card_info:
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card_name = fetch_card_name_from_scryfall(uuid)
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if card_name:
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card_entries.append(f"{quantity}x {card_name}")
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return card_entries
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def create_moxfield_deck_file(commander_name, card_entries):
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filename = f"{commander_name}_edh.txt"
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with open(filename, 'w') as file:
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for entry in card_entries:
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file.write(f"{entry}\n")
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|
||||||
print(f"Deck list saved to {filename}")
|
|
||||||
|
|
||||||
def main():
|
|
||||||
commander_name = input("Enter the commander card name: ")
|
|
||||||
refactored_name = refactor_commander_name(commander_name)
|
|
||||||
|
|
||||||
print(f"Fetching EDHREC data for {commander_name}...")
|
|
||||||
edhrec_data = fetch_edhrec_data(refactored_name)
|
|
||||||
|
|
||||||
if edhrec_data:
|
|
||||||
print(f"Extracting UUIDs and quantities from Archidekt section...")
|
|
||||||
card_info = extract_uuids_and_quantities_from_archidekt(edhrec_data)
|
|
||||||
|
|
||||||
if card_info:
|
|
||||||
print(f"Fetching card names from Scryfall...")
|
|
||||||
card_entries = fetch_card_names_from_uuids(card_info)
|
|
||||||
if card_entries:
|
|
||||||
create_moxfield_deck_file(refactored_name, card_entries)
|
|
||||||
else:
|
|
||||||
print("No card names found for the given UUIDs.")
|
|
||||||
else:
|
|
||||||
print("No UUIDs found in the Archidekt decks.")
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
|
||||||
main()
|
|
||||||
81
image_dl.py
81
image_dl.py
@ -1,81 +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']
|
|
||||||
|
|
||||||
# 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(':', '')}.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(0.2) # 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 complete.")
|
|
||||||
@ -1,57 +0,0 @@
|
|||||||
import csv
|
|
||||||
import os
|
|
||||||
|
|
||||||
# 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 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)
|
|
||||||
|
|
||||||
# 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)
|
|
||||||
@ -1,96 +0,0 @@
|
|||||||
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 full card image
|
|
||||||
def download_full_card_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 (normal)
|
|
||||||
image_url = card_data['image_uris']['normal'] 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']['normal']
|
|
||||||
|
|
||||||
if image_url:
|
|
||||||
# Create the full_card directory if it doesn't exist
|
|
||||||
directory = 'full_card'
|
|
||||||
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 full card image for {card_name} (Set: {set_code}, Collector Number: {collector_number}, Foil: {foil})")
|
|
||||||
else:
|
|
||||||
print(f"No full card 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 full card image
|
|
||||||
download_full_card_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)
|
|
||||||
Loading…
Reference in New Issue
Block a user