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| | | from urllib import request |
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| | | import json |
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| | | import pandas as pd |
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| | | import re |
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| | | import os |
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| | | |
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| | | |
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| | | def fetch_all_cards_text(url='https://archive.scryfall.com/json/scryfall-all-cards.json', out_file='all_cards.json'): |
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| | | request.urlretrieve(url, out_file) |
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| | | def fetch_all_cards_text(url='https://api.scryfall.com/cards/search?q=layout:normal+format:modern+lang:en+frame:2003', |
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| | | csv_name=''): |
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| | | has_more = True |
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| | | cards = [] |
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| | | # get cards dataset as a json from the query |
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| | | while has_more: |
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| | | res_file_dir, http_message = request.urlretrieve(url) |
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| | | with open(res_file_dir) as res_file: |
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| | | res_json = json.loads(res_file.read()) |
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| | | cards += res_json['data'] |
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| | | has_more = res_json['has_more'] |
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| | | if has_more: |
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| | | url = res_json['next_page'] |
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| | | print(len(cards)) |
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| | | |
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| | | # Convert them into a dataframe, and truncate unnecessary columns |
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| | | df = pd.DataFrame.from_dict(cards) |
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| | | |
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| | | if csv_name != '': |
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| | | df = df[['artist', 'border_color', 'collector_number', 'color_identity', 'colors', 'flavor_text', 'image_uris', |
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| | | 'mana_cost', 'legalities', 'name', 'oracle_text', 'rarity', 'type_line', 'set', 'set_name', 'power', |
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| | | 'toughness']] |
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| | | df.to_csv(csv_name, sep=';') # Comma doesn't work, since some columns are saved as a dict |
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| | | |
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| | | return df |
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| | | |
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| | | |
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| | | # Pulled from Django framework (https://github.com/django/django/blob/master/django/utils/text.py) |
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| | | def get_valid_filename(s): |
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| | | """ |
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| | | Return the given string converted to a string that can be used for a clean |
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| | | filename. Remove leading and trailing spaces; convert other spaces to |
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| | | underscores; and remove anything that is not an alphanumeric, dash, |
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| | | underscore, or dot. |
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| | | >>> get_valid_filename("john's portrait in 2004.jpg") |
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| | | 'johns_portrait_in_2004.jpg' |
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| | | """ |
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| | | s = str(s).strip().replace(' ', '_') |
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| | | return re.sub(r'(?u)[^-\w.]', '', s) |
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| | | |
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| | | |
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| | | def fetch_cards_image(df, out_dir='', size='png'): |
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| | | for ind, row in df.iterrows(): |
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| | | png_url = row['image_uris'][size] |
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| | | if out_dir == '': |
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| | | out_dir = 'data/png/%s' % row['set'] |
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| | | if not os.path.exists(out_dir): |
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| | | os.makedirs(out_dir) |
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| | | img_name = '%s/%s_%s.png' % (out_dir, row['collector_number'], get_valid_filename(row['name'])) |
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| | | request.urlretrieve(png_url, filename=img_name) |
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| | | print(img_name) |
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| | | pass |
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| | | |
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| | | def fetch_cards_image(cards_json, out_dir, size='large'): |
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| | | for card in cards_json: |
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| | | request.urlretrieve(card['image_uris'][size], '%s\%s' % (out_dir, card['name'])) |
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| | | pass |
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| | | |
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| | | def main(): |
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| | | df = fetch_all_cards_text(url='https://api.scryfall.com/cards/search?q=layout:normal+set:rtr+lang:en', |
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| | | csv_name='data/all_cards.csv') |
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| | | fetch_cards_image(df) |
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| | | pass |
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| | | |
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| | | |
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| | | if __name__ == '__main__': |
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| | | main() |
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| | | pass |
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