entfernen des Uebung Levels, da es nicht verwendet wird

math-tutor/backend/app/api/tasks.py

@@ -30,7 +30,6 @@ class TopicEntry(BaseModel):
     topic_key: str
     label: str
     refs: List[List[int]]
-    level: str
     summary: str = ""
 
 

math-tutor/backend/app/deterministic_services/task_catalog.py

@@ -454,7 +454,7 @@ def _normalize_yaml_task_entry(task_entry: Any, position: int) -> dict[str, Any]
         return None
 
     statement_parts, statement_images = _extract_text_and_images(task_entry.get("aufgabe", []))
-    hint_parts, hint_images = _extract_text_and_images(task_entry.get("hinweise", []))
+    hint_parts, _ = _extract_text_and_images(task_entry.get("hinweise", []))
     solution_parts, _ = _extract_text_and_images(task_entry.get("loesung", []))
 
     return {
@@ -462,7 +462,7 @@ def _normalize_yaml_task_entry(task_entry: Any, position: int) -> dict[str, Any]
         "statement": "\n".join(statement_parts).strip(),
         "hints": hint_parts,
         "solution": "\n".join(solution_parts).strip(),
-        "images": statement_images + hint_images,
+        "images": statement_images,
     }
 
 
@@ -492,11 +492,10 @@ def _normalize_yaml_task_file(content: Any, path: Path) -> dict[str, Any] | None
     intro = str(content.get("description", "")).strip()
     file_id = str(content.get("id", "")).strip() or path.stem
     slug = str(content.get("slug", "")).strip() or _slugify(title or file_id)
-    level = str(content.get("level", "")).strip()
     subsections = _normalize_exercise_topics(content.get("exercise_topic", []))
     topic_refs_raw = content.get("topic_refs", [])
 
-    if not title or not file_id or not slug or not level:
+    if not title or not file_id or not slug:
         return None
 
     tasks: list[dict[str, Any]] = []
@@ -512,7 +511,6 @@ def _normalize_yaml_task_file(content: Any, path: Path) -> dict[str, Any] | None
         "title": title,
         "intro": intro,
         "slug": slug,
-        "level": level,
         "subsections": subsections,
         "topic_refs": topic_refs_raw if isinstance(topic_refs_raw, list) else [],
         "tasks": tasks,

math-tutor/backend/scripts/convert_tasks_json_to_yaml.py

@@ -103,7 +103,6 @@ def convert_task_payload(payload: dict[str, Any], source_file_id: str, image_pat
     return {
         "id": source_file_id,
         "titel": title,
-        "level": DEFAULT_LEVEL,
         "slug": slug,
         "description": intro,
         "exercise_topic": _build_topic_entries(payload.get("subsections", [])),

math-tutor/backend/test/task_catalog_socratic_test.py

@@ -95,6 +95,26 @@ class TaskCatalogSocraticTest(unittest.TestCase):
         )
         self.assertEqual(catalog[0]["topics"], ["quadratische_gleichungen"])
 
+    def test_normalize_yaml_task_entry_excludes_images_from_hints(self) -> None:
+        task_entry = {
+            "aufgabe": [
+                {"type": "text", "text": "Bestimme f(x)."},
+            ],
+            "hinweise": [
+                {"type": "text", "text": "Nutze den Graphen."},
+                {"type": "image", "src": "analysis/h1.png", "alt": "Hinweisgrafik."},
+            ],
+            "loesung": [
+                {"type": "text", "text": "f(x)=x^2"},
+            ],
+        }
+
+        normalized = task_catalog._normalize_yaml_task_entry(task_entry, 1)
+
+        self.assertIsNotNone(normalized)
+        self.assertEqual(normalized["hints"], ["Nutze den Graphen."])
+        self.assertEqual(normalized["images"], [])
+
     def test_socratic_build_subsection_catalog_returns_response_shape(self) -> None:
         with patch(
             "app.deterministic_services.socratic_oranisator.load_initial_prompt_items",

math-tutor/frontend/src/api/taskApi.ts

@@ -23,7 +23,6 @@ export type TopicOption = {
   topic_key: string;
   label: string;
   refs: [number, number, number, number][];
-  level: string;
   summary: string;
 };