Initial commit: Modernes Harry Potter Escape Quiz Portal (FastAPI & MariaDB)

2026-09-21 11:29:18 +02:00
commit c3a21369ef
50 changed files with 3346 additions and 0 deletions
@@ -0,0 +1,69 @@
+import re
+import unicodedata
+import json
+
+def normalize_text(text: str) -> str:
+    if not text:
+        return ""
+    text = text.lower().strip()
+    # Replace German umlauts
+    text = text.replace("ä", "ae").replace("ö", "oe").replace("ü", "ue").replace("ß", "ss")
+    # Remove accents
+    nfkd = unicodedata.normalize("NFKD", text)
+    text = "".join([c for c in nfkd if not unicodedata.combining(c)])
+    # Remove special punctuation like quotes, dots, dashes, commas
+    text = re.sub(r"[^\w\s]", "", text)
+    # Collapse whitespace
+    text = re.sub(r"\s+", " ", text).strip()
+    return text
+
+def levenshtein_distance(s1: str, s2: str) -> int:
+    if len(s1) < len(s2):
+        return levenshtein_distance(s2, s1)
+    if len(s2) == 0:
+        return len(s1)
+    previous_row = list(range(len(s2) + 1))
+    for i, c1 in enumerate(s1):
+        current_row = [i + 1]
+        for j, c2 in enumerate(s2):
+            insertions = previous_row[j + 1] + 1
+            deletions = current_row[j] + 1
+            substitutions = previous_row[j] + (c1 != c2)
+            current_row.append(min(insertions, deletions, substitutions))
+        previous_row = current_row
+    return previous_row[-1]
+
+def is_answer_correct(user_input: str, canonical: str, accepted_raw: str | None = None) -> bool:
+    clean_user = normalize_text(user_input)
+    if not clean_user:
+        return False
+
+    targets = [normalize_text(canonical)]
+
+    if accepted_raw:
+        try:
+            parsed = json.loads(accepted_raw)
+            if isinstance(parsed, list):
+                targets.extend([normalize_text(str(x)) for x in parsed])
+        except Exception:
+            # Fallback comma-separated
+            for part in accepted_raw.split(","):
+                part_clean = normalize_text(part)
+                if part_clean:
+                    targets.append(part_clean)
+
+    for target in 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
+
+    return False