Feature: Leaderboard difficulty isolation, proposal category select, numeric answer matcher, 25 new questions (65 total)

app/matcher.py

@@ -33,11 +33,47 @@ def levenshtein_distance(s1: str, s2: str) -> int:
         previous_row = current_row
     return previous_row[-1]
 
+WORD_TO_NUM = {
+    "null": "0", "zero": "0",
+    "eins": "1", "ein": "1", "one": "1",
+    "zwei": "2", "two": "2",
+    "drei": "3", "three": "3",
+    "vier": "4", "four": "4",
+    "fuenf": "5", "five": "5",
+    "sechs": "6", "six": "6",
+    "sieben": "7", "seven": "7",
+    "acht": "8", "eight": "8",
+    "neun": "9", "nine": "9",
+    "zehn": "10", "ten": "10",
+    "elf": "11", "eleven": "11",
+    "zwoelf": "12", "twelve": "12",
+    "dreizehn": "13", "thirteen": "13",
+    "vierzehn": "14", "fourteen": "14",
+    "fuenfzehn": "15", "fifteen": "15",
+    "sechzehn": "16", "sixteen": "16",
+    "siebzehn": "17", "seventeen": "17",
+    "achtzehn": "18", "eighteen": "18",
+    "neunzehn": "19", "nineteen": "19",
+    "zwanzig": "20", "twenty": "20",
+    "fuenfzig": "50", "fifty": "50",
+    "hundert": "100", "einhundert": "100", "one hundred": "100",
+    "einhundertfuenfzig": "150", "one hundred fifty": "150", "one hundred and fifty": "150"
+}
+
+NUM_TO_WORDS = {}
+for w, n in WORD_TO_NUM.items():
+    NUM_TO_WORDS.setdefault(n, []).append(w)
+
 def is_answer_correct(user_input: str, canonical: str, accepted_raw: str | None = None, canonical_en: str | None = None) -> bool:
     clean_user = normalize_text(user_input)
     if not clean_user:
         return False
 
+    # Also consider digit conversion of user input if a word was typed
+    user_variants = [clean_user]
+    if clean_user in WORD_TO_NUM:
+        user_variants.append(WORD_TO_NUM[clean_user])
+
     targets = [normalize_text(canonical)]
     if canonical_en:
         clean_en = normalize_text(canonical_en)
@@ -56,18 +92,27 @@ def is_answer_correct(user_input: str, canonical: str, accepted_raw: str | None
                 if part_clean:
                     targets.append(part_clean)
 
-    for target in targets:
+    # Expand any numeric target with corresponding number words and vice-versa
+    expanded_targets = list(targets)
+    for t in targets:
+        if t in NUM_TO_WORDS:
+            expanded_targets.extend(NUM_TO_WORDS[t])
+        if t in WORD_TO_NUM:
+            expanded_targets.append(WORD_TO_NUM[t])
+
+    for target in expanded_targets:
         if not target:
             continue
-        if clean_user == target:
-            return True
-        # For short answers (1-3 chars, e.g. numbers or abbreviations), require exact match
-        if len(target) <= 3:
-            continue
-        # For medium words (4-6 chars), allow max 1 typo
-        max_allowed = 1 if len(target) <= 6 else 2
-        dist = levenshtein_distance(clean_user, target)
-        if dist <= max_allowed:
-            return True
+        for u in user_variants:
+            if u == target:
+                return True
+            # For short answers (1-3 chars, e.g. numbers or abbreviations), require exact match
+            if len(target) <= 3 or len(u) <= 3:
+                continue
+            # For medium words (4-6 chars), allow max 1 typo
+            max_allowed = 1 if len(target) <= 6 else 2
+            dist = levenshtein_distance(u, target)
+            if dist <= max_allowed:
+                return True
 
     return False