Move .csvs to subdirectory, refactor cube_json.py out of word_count.py

cube_json.py

@@ -0,0 +1,41 @@
+import csv
+import json
+
+from word_count import EXPECTED_HEADER, COLUMNS, TEMP_JSON, is_actual_mtg_card
+
+
+def load_cube_from_csv(filename, tag_filter=None):
+    cards = []
+    with open(filename) as f:
+        reader = csv.reader(f)
+        header_line = next(reader)
+        assert header_line == EXPECTED_HEADER
+        for line in reader:
+            card = line[COLUMNS['Name']]
+            # Export CSV is broken on CubeCobra because Image Back URL is always just one double quotes character.
+            tags = [t.strip() for t in line[COLUMNS['Tags']].split(', ')]
+            if tag_filter is None or any(t in tag_filter for t in tags):
+                cards.append(card)
+    return cards
+
+
+def create_cube_json(cards, output_filename=TEMP_JSON):
+    # Call this once to create a smaller JSON file from the full card list
+    # Visit https://scryfall.com/docs/api/bulk-data and look for "Oracle Cards" file;
+    # Download and rename it to 'oracle_cards.json'
+    with open('oracle_cards.json', encoding='utf8') as f_oracle_cards:
+        d = json.load(f_oracle_cards)
+    f_cube_json = open(output_filename, 'w+', encoding='utf8')
+    cube_data = []
+    for card in d:
+        if card['name'] in cards:
+            for i in range(cards.count(card['name'])):
+                cube_data += [card]
+        elif 'card_faces' in card.keys() and is_actual_mtg_card(card):
+            for face in card['card_faces']:
+                if face['name'] in cards:
+                    cube_data += [card]
+    string_data = json.dumps(cube_data)
+    f_cube_json.write(string_data)
+    f_cube_json.close()
+    return output_filename