From 986b345e2bcd1bf5b5a0d1b2e60f20690eb723a8 Mon Sep 17 00:00:00 2001
From: Edmond Yoo <hj3yoo@uwaterloo.ca>
Date: Tue, 28 Aug 2018 20:51:01 +0000
Subject: [PATCH] Now can extract mana & set symbol of all non-PW cards in 2003 card layout (8ED - JOU)

---
 fetch_data.py |  101 +++++++++++++++++++++++++++++++++++++++++++++++---
 1 files changed, 95 insertions(+), 6 deletions(-)

diff --git a/fetch_data.py b/fetch_data.py
index 190dd14..0f23a99 100644
--- a/fetch_data.py
+++ b/fetch_data.py
@@ -1,11 +1,100 @@
 from urllib import request
+import ast
+import json
+import pandas as pd
+import re
+import os
 
 
-def fetch_all_cards_text(url='https://archive.scryfall.com/json/scryfall-all-cards.json', out_file='all_cards.json'):
-    request.urlretrieve(url, out_file)
+def fetch_all_cards_text(url='https://api.scryfall.com/cards/search?q=layout:normal+format:modern+lang:en+frame:2003',
+                         csv_name=''):
+    has_more = True
+    cards = []
+    # get cards dataset as a json from the query
+    while has_more:
+        res_file_dir, http_message = request.urlretrieve(url)
+        with open(res_file_dir, 'r') as res_file:
+            res_json = json.loads(res_file.read())
+            cards += res_json['data']
+            has_more = res_json['has_more']
+            if has_more:
+                url = res_json['next_page']
+            print(len(cards))
+
+    # Convert them into a dataframe, and truncate unnecessary columns
+    df = pd.DataFrame.from_dict(cards)
+
+    if csv_name != '':
+        df = df[['artist', 'border_color', 'collector_number', 'color_identity', 'colors', 'flavor_text', 'image_uris',
+                 'mana_cost', 'legalities', 'name', 'oracle_text', 'rarity', 'type_line', 'set', 'set_name', 'power',
+                 'toughness']]
+        #df.to_json(csv_name)
+        df.to_csv(csv_name, sep=';')  # Comma doesn't work, since some columns are saved as a dict
+
+    return df
+
+
+def load_all_cards_text(csv_name):
+    #with open(csv_name, 'r') as json_file:
+    #    cards = json.loads(json_file.read())
+    #df = pd.DataFrame.from_dict(cards)
+    df = pd.read_csv(csv_name, sep=';')
+    return df
+
+
+# Pulled from Django framework (https://github.com/django/django/blob/master/django/utils/text.py)
+def get_valid_filename(s):
+    """
+    Return the given string converted to a string that can be used for a clean
+    filename. Remove leading and trailing spaces; convert other spaces to
+    underscores; and remove anything that is not an alphanumeric, dash,
+    underscore, or dot.
+    >>> get_valid_filename("john's portrait in 2004.jpg")
+    'johns_portrait_in_2004.jpg'
+    """
+    s = str(s).strip().replace(' ', '_')
+    return re.sub(r'(?u)[^-\w.]', '', s)
+
+
+def fetch_all_cards_image(df, out_dir='', size='png'):
+    if isinstance(df, pd.Series):
+        fetch_card_image(df, out_dir, size)
+    else:
+        for ind, row in df.iterrows():
+            fetch_card_image(row, out_dir, size)
+
+
+def fetch_card_image(row, out_dir='', size='png'):
+    if isinstance(row['image_uris'], str):  # For some reason, dict isn't being parsed in the previous step
+        png_url = ast.literal_eval(row['image_uris'])[size]
+    else:
+        png_url = row['image_uris'][size]
+    if out_dir == '':
+        out_dir = 'data/%s/%s' % (size, row['set'])
+    if not os.path.exists(out_dir):
+        os.makedirs(out_dir)
+    img_name = '%s/%s_%s.png' % (out_dir, row['collector_number'], get_valid_filename(row['name']))
+    if not os.path.isfile(img_name):
+        request.urlretrieve(png_url, filename=img_name)
+        print(img_name)
+
+
+def main():
+    for set_name in ['8ed', 'mrd', 'dst', '5dn', 'chk', 'bok', 'sok', '9ed', 'rav', 'gpt', 'dis', 'csp', 'tsp', 'plc',
+                     'fut', '10e', 'lrw', 'mor', 'shm', 'eve', 'ala', 'con', 'arb', 'm10', 'zen', 'wwk', 'roe', 'm11',
+                     'som', 'mbs', 'nph', 'm12', 'isd', 'dka', 'avr', 'm13', 'rtr', 'gtc', 'dgm', 'm14', 'ths', 'bng',
+                     'jou']:
+        csv_name = 'data/csv/%s.csv' % set_name
+        if not os.path.isfile(csv_name):
+            df = fetch_all_cards_text(url='https://api.scryfall.com/cards/search?q=layout:normal+set:%s+lang:en' % set_name,
+                                      csv_name=csv_name)
+        else:
+            df = load_all_cards_text(csv_name)
+        print(csv_name)
+        fetch_all_cards_image(df, out_dir='../usb/data/png/%s' % set_name)
     pass
 
-def fetch_cards_image(cards_json, out_dir, size='large'):
-    for card in cards_json:
-        request.urlretrieve(card['image_uris'][size], '%s\%s' % (out_dir, card['name']))
-    pass
\ No newline at end of file
+
+if __name__ == '__main__':
+    main()
+    pass

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