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| | | from urllib import request |
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| | | 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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| | | # Core & expansion sets with 2003 frame |
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| | | set_2003_list = ['mrd', 'dst', '5dn', 'chk', 'bok', 'sok', 'rav', 'gpt', 'dis', 'csp', 'tsp', 'plc', 'fut', '10e', |
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| | | 'lrw', 'mor', 'shm', 'eve', 'ala', 'con', 'arb', 'm10', 'zen', 'wwk', 'roe', 'm11', 'som', 'mbs', |
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| | | 'nph', 'm12', '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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| | | set_2015_list = ['m15', 'ktk', 'frf', 'dtk', 'bfz', 'ogw', 'soi', 'emn', 'kld', 'aer', 'akh', 'hou', 'xln', 'rix', 'dom'] |
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| | | |
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| | | # Box sets |
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| | | set_box_list = ['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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| | | |
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| | | # Supplemental sets |
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| | | set_sup_list = ['hop', 'arc', 'pc2', 'cns', 'cn2', 'e01', 'e02', 'bbd'] |
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| | | |
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| | | all_set_list = set_2003_list |
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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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| | | 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 = 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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| | | def fetch_card_image(row, out_dir='', size='png'): |
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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_url = ast.literal_eval(row['image_uris'])[size] |
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| | | else: |
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| | | png_url = row['image_uris'][size] |
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| | | if out_dir == '': |
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| | | out_dir = 'data/%s/%s' % (size, row['set']) |
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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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| | | img_name = '%s/%s_%s.png' % (out_dir, row['collector_number'], get_valid_filename(row['name'])) |
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| | | if not os.path.isfile(img_name): |
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| | | request.urlretrieve(png_url, filename=img_name) |
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| | | print(img_name) |
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| | | |
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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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| | | |
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| | | |
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| | | def main(): |
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| | | for set_name in ['8ed', 'mrd', 'dst', '5dn', 'chk', 'bok', 'sok', '9ed', 'rav', 'gpt', 'dis', 'csp', 'tsp', 'plc', |
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| | | 'fut', '10e', 'lrw', 'mor', 'shm', 'eve', 'ala', 'con', 'arb', 'm10', 'zen', 'wwk', 'roe', 'm11', |
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| | | 'som', 'mbs', 'nph', 'm12', 'isd', 'dka', 'avr', 'm13', 'rtr', 'gtc', 'dgm', 'm14', 'ths', 'bng', |
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| | | 'jou']: |
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| | | csv_name = 'data/csv/%s.csv' % set_name |
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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=layout:normal+set:%s+lang:en' % set_name, |
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| | | csv_name=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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| | | print(csv_name) |
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| | | fetch_all_cards_image(df, out_dir='../usb/data/png/%s' % set_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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