Retail set word counts tool

Counts average words for retail draft sets using MTGJSON set files.
Several sets excluded since a few bugs need fixing to make them work.

retail_set_word_counts.py

@@ -0,0 +1,94 @@
+import json
+import statistics
+
+
+# Counts words on each card from each set using MTGJSON data.
+# I downloaded "all set files" from https://mtgjson.com/downloads/all-files/
+
+
+def load_set(code):
+    with open(f'mtgjson/sets/{code}.json', encoding='utf8') as f:
+        data = json.load(f)
+        return data
+    baseSetSize = data['baseSetSize']
+    cards = data['cards']
+
+
+def wc_fo(text):
+    # full oracle text word count
+    return len(text.split())
+
+
+def analyze_set(code):
+    d = load_set(code)
+    cards = d['cards']
+    faces = {}
+    #list text for all cards
+    for card in cards:
+        if 'text' in card:
+            faces[card['uuid']] = card['text']
+        else:
+            faces[card['uuid']] = ""
+    #update text for double faced
+    for card in cards:
+        if 'side' in card:
+            if card['side'] == 'a':
+                card['text'] += " " + faces[card['otherFaceIds'][0]]
+        # make card number an int
+        if 'number' in card:
+            try:
+                card['number'] = int(card['number'])
+            except ValueError:
+                numstring = ""
+                for c in card['number']:
+                    if c.isdigit():
+                        numstring += c
+                if len(numstring) == 0:
+                    card['number'] = 999999
+                else:
+                    card['number'] = int(numstring)
+    # Generate a list of cards in the set
+    set_cards = []
+    for card in cards:
+        if card['name'] in ['Plains', 'Island', 'Swamp', 'Mountain', 'Forest']:
+            continue
+        if 'side' in card and card['side'] != 'a':
+            continue
+        if card['number'] > d['baseSetSize']:
+            continue
+        set_cards += [card]
+    # Create a list of word counts by rarity
+    rarities = {'common': [], 'uncommon': [], 'rare': [], 'mythic': []}
+    for card in set_cards:
+        if 'text' not in card:
+            words = 0
+        else:
+            words = len(card['text'].split())
+        rarities[card['rarity']] += [words]
+    line = [d['code']]
+    for r in ['common', 'uncommon', 'rare', 'mythic']:
+        if len(rarities[r]) > 0:
+            mean = round(sum(rarities[r]) / len(rarities[r]), 1)
+            median = statistics.median(rarities[r])
+        else:
+            mean = 0
+            median = 0
+        line += [mean, median]
+        line = [str(x) for x in line]
+        textline = ",".join(line)
+    print(textline)
+    return textline
+
+
+codes = ['LEA','3ED','4ED','5ED','6ED','7ED','8ED','9ED','10E','M10','M11','M12','M13','M14','M15','ORI','M19','M20','M21','ARN','ATQ','LEG','DRK','FEM','ICE','HML','ALL','MIR','VIS','WTH','TMP','STH','EXO','USG','ULG','UDS','MMQ','NEM','PCY','INV','PLS','APC','ODY','TOR','JUD','ONS','LGN','SCG','MRD','DST','5DN','CHK','BOK','SOK','RAV','GPT','DIS','CSP','TSP','PLC','FUT','LRW','MOR','SHM','EVE','ALA','CON','ARB','ZEN','WWK','ROE','SOM','MBS','NPH','ISD','DKA','AVR','RTR','GTC','DGM','THS','BNG','JOU','KTK','FRF','DTK','BFZ','OGW','SOI','EMN','KLD','AER','AKH','HOU','XLN','RIX','DOM','GRN','RNA','WAR','ELD','THB','IKO','ZNR']
+
+
+output = open('retail_set_words.csv', 'w+')
+for code in codes:
+    # These sets trigger errors due to meld, MDFC, and other issues. Fixes needed.
+    if code in ['CON', 'SOI', 'EMN', 'ELD', 'ZNR']:
+        continue
+    line = analyze_set(code)
+    output.write(line + '\n')
+output.close()
+