add stats

.gitignore

@@ -1 +1,2 @@
 *.db
+__pycache__

justfile

@@ -1,2 +1,5 @@
+stats:
+    python stats.py
+
 fetch:
     python fetch.py

stats.py

@@ -0,0 +1,47 @@
+import json
+import sqlite3
+from collections import Counter
+from datetime import date
+
+db = sqlite3.connect("mensa.db")
+
+rows = db.execute("""
+    SELECT date, title, category, type
+    FROM dishes
+    WHERE title != ''
+""").fetchall()
+
+meals = [title for _, title, _, _ in rows]
+vegan = [title for _, title, category, _ in rows if "vegan" in json.loads(category)]
+nds = [title for _, title, category, _ in rows if "NDS" in json.loads(category)]
+
+counts = Counter(meals)
+vegan_counts = Counter(vegan)
+nds_counts = Counter(nds)
+
+dates = [date.fromisoformat(d) for d, _, _, _ in rows]
+
+print(f"date range:     {min(dates)} → {max(dates)}")
+print(f"meals:          {len(meals)}")
+print(f"vegan meals:    {len(vegan)}")
+print(f"unique meals:   {len(counts)}")
+
+print("\ntop 5 most served:")
+for meal, count in counts.most_common(5):
+    print(f"  {count:3}x  {meal}")
+
+print("\ntop 5 vegan meals:")
+for meal, count in vegan_counts.most_common(5):
+    print(f"  {count:3}x  {meal}")
+
+print("\ntop 5 NDS menus:")
+for meal, count in nds_counts.most_common(5):
+    print(f"  {count:3}x  {meal}")
+
+print("\nmeals served only once:")
+for date_, meal, _, _ in rows:
+    if counts[meal] == 1:
+        days = (date.today() - date.fromisoformat(date_)).days
+        print(f"  {days:3} days ago  {date_}  {meal}")
+
+db.close()