from urllib import request, error
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import ast
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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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import transform_data
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import time
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all_set_list = [# Core & expansion sets with 2003 frame
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'mrd', 'dst', '5dn', 'chk', 'bok', 'sok', 'rav', 'gpt', 'dis', 'csp', 'tsp', 'plc', 'fut', '10e', 'lrw',
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'mor', 'shm', 'eve', 'ala', 'con', 'arb', 'm10', 'zen', 'wwk', 'roe', 'm11', 'som', 'mbs', 'nph', 'm12',
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'isd', 'dka', 'avr', 'm13', 'rtr', 'gtc', 'dgm', 'm14', 'ths', 'bng', 'jou',
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# Core & expansion sets with 2015 frame
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'm15', 'ktk', 'frf', 'dtk', 'bfz', 'ogw', 'soi', 'emn', 'kld', 'aer', 'akh', 'hou', 'xln', 'rix', 'dom',
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# Box sets
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'evg', 'drb', 'dd2', 'ddc', 'td0', 'v09', 'ddd', 'h09', 'dde', 'dpa', 'v10', 'ddf', 'td0', 'pd2', 'ddg',
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'cmd', 'v11', 'ddh', 'pd3', 'ddi', 'v12', 'ddj', 'cm1', 'td2', 'ddk', 'v13', 'ddl', 'c13', 'ddm', 'md1',
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'v14', 'ddn', 'c14', 'ddo', 'v15', 'ddp', 'c15', 'ddq', 'v16', 'ddr', 'c16', 'pca', 'dds', 'cma', 'c17',
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'ddt', 'v17', 'ddu', 'cm2', 'ss1', 'gs1', 'c18',
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# Supplemental sets
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'HOP', 'ARC', 'PC2', 'CNS', 'CN2', 'E01', 'E02', 'BBD'
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]
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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, 'r') 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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# Convert them into a dataframe, and truncate unnecessary columns
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df = pd.DataFrame.from_dict(cards)
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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_json(csv_name)
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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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return df
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def load_all_cards_text(csv_name):
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#with open(csv_name, 'r') as json_file:
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# cards = json.loads(json_file.read())
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#df = pd.DataFrame.from_dict(cards)
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df = pd.read_csv(csv_name, sep=';')
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return df
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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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def fetch_all_cards_image(df, out_dir='', size='png'):
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if isinstance(df, pd.Series):
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fetch_card_image(df, out_dir, size)
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else:
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for ind, row in df.iterrows():
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fetch_card_image(row, out_dir, size)
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def fetch_card_image(row, out_dir='', size='png'):
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if out_dir == '':
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out_dir = '%s/card_img/%s/%s' % (transform_data.data_dir, size, 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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png_urls = []
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card_names = []
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if row['layout'] == 'transform' or row['layout'] == 'double_faced_token':
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if isinstance(row['card_faces'], str): # For some reason, dict isn't being parsed in the previous step
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card_faces = ast.literal_eval(row['card_faces'])
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else:
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card_faces = row['card_faces']
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for i in range(len(card_faces)):
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png_urls.append(card_faces[i]['image_uris'][size])
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card_names.append(get_valid_filename(card_faces[i]['name']))
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else: #if row['layout'] == 'normal':
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if isinstance(row['image_uris'], str): # For some reason, dict isn't being parsed in the previous step
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png_urls.append(ast.literal_eval(row['image_uris'])[size])
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else:
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png_urls.append(row['image_uris'][size])
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card_names.append(get_valid_filename(row['name']))
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for i in range(len(png_urls)):
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img_name = '%s/%s_%s.png' % (out_dir, row['collector_number'], card_names[i])
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if not os.path.isfile(img_name):
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request.urlretrieve(png_urls[i], filename=img_name)
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print(img_name)
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def main():
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for set_name in all_set_list:
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csv_name = '%s/csv/%s.csv' % (transform_data.data_dir, set_name)
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print(csv_name)
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if not os.path.isfile(csv_name):
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df = fetch_all_cards_text(url='https://api.scryfall.com/cards/search?q=set:%s+lang:en'
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% set_name, csv_name=csv_name)
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else:
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df = load_all_cards_text(csv_name)
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df.sort_values('collector_number')
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fetch_all_cards_image(df, out_dir='%s/card_img/png/%s' % (transform_data.data_dir, set_name))
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#df = fetch_all_cards_text(url='https://api.scryfall.com/cards/search?q=layout:normal+lang:en+frame:2003',
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# csv_name='data/csv/all.csv')
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pass
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if __name__ == '__main__':
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main()
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pass
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