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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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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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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df = pd.DataFrame.from_dict(cards)
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df['image'] = ''
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for ind, row in df.iterrows():
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df.set_value(ind, 'image', row['image_uris']['png'])
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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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'image', 'mana_cost', 'legalities', 'name', 'oracle_text', 'rarity', 'type_line', 'set', 'set_name',
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'power', 'toughness']]
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df.to_csv(csv_name, sep=';')
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return cards
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def get_valid_filename(s):
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"""
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NOTE: Pulled from Django framework (https://github.com/django/django/blob/master/django/utils/text.py)
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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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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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def main():
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fetch_all_cards_text(csv_name='data/all_cards.csv')
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if __name__ == '__main__':
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main()
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