Merge branch 'claude/affectionate-agnesi-411173'

This commit is contained in:
Tim Leikauf
2026-05-06 22:14:33 +02:00

81
app.py
View File

@@ -1145,14 +1145,6 @@ def generate_questions(obj_id: str):
if not levels:
return jsonify({"error": "No levels in AI response"}), 500
# Junction-Collections sicherstellen (einmalig)
for col, f1, f2 in [
("words_objects", "words_id", "objects_id"),
("questions_objects", "questions_id", "objects_id"),
("questions_distractor_words", "questions_id", "words_id"),
]:
_ensure_junction(col, f1, f2, token)
stats = {
"words_created": 0,
"words_linked": 0,
@@ -1173,6 +1165,21 @@ def generate_questions(obj_id: str):
# Mehrwortige Einträge → überspringen (KI-Fehler)
return tokens
# Bestehende Verlinkungen vorab laden (Dedup ohne N×GET)
ew_data, _ = _directus(
"GET",
f"/items/words_objects?filter[objects_id][_eq]={obj_id}&fields[]=words_id&limit=2000",
token,
)
existing_word_ids: set[str] = {e["words_id"] for e in (ew_data.get("data") or [])}
eq_data, _ = _directus(
"GET",
f"/items/questions_objects?filter[objects_id][_eq]={obj_id}&fields[]=questions_id&limit=200",
token,
)
existing_question_ids: set[str] = {e["questions_id"] for e in (eq_data.get("data") or [])}
# Alle eindeutigen Wörter aus allen Leveln vorab sammeln und einmalig laden
all_words_by_level: dict[str, int] = {} # title_de → first level seen
for lvl in levels:
@@ -1185,20 +1192,22 @@ def generate_questions(obj_id: str):
# Wörter einmalig anlegen / finden (globaler Cache über alle Level)
global_word_map: dict[str, str] = {} # title_de → id
new_word_links: list[dict] = []
for w, lvl_num in all_words_by_level.items():
try:
wid, is_new = _find_or_create_word(w, lvl_num, token)
global_word_map[w] = wid
_ensure_link(
"words_objects",
{"words_id": wid, "objects_id": obj_id},
{"words_id": wid, "objects_id": obj_id},
token,
)
if wid not in existing_word_ids:
new_word_links.append({"words_id": wid, "objects_id": obj_id})
existing_word_ids.add(wid)
stats["words_created" if is_new else "words_linked"] += 1
except Exception as e:
print(f"[generate_questions] word error '{w}': {e}")
# Alle neuen Wort-Verlinkungen in einem Batch speichern
if new_word_links:
_directus("POST", "/items/words_objects", token, new_word_links)
for lvl in levels:
level = int(lvl.get("level") or 1)
q_de = (lvl.get("question") or "").strip()
@@ -1221,33 +1230,27 @@ def generate_questions(obj_id: str):
stats["questions_created" if q_is_new else "questions_linked"] += 1
# Frage ↔ Objekt
_ensure_link(
"questions_objects",
{"questions_id": q_id, "objects_id": obj_id},
{"questions_id": q_id, "objects_id": obj_id},
token,
)
# Frage ↔ Objekt (nur wenn noch nicht verknüpft)
if q_id not in existing_question_ids:
_directus("POST", "/items/questions_objects", token,
{"questions_id": q_id, "objects_id": obj_id})
existing_question_ids.add(q_id)
# related_words
for w in words_list:
if w in global_word_map:
_ensure_link(
"questions_words",
{"questions_id": q_id, "words_id": global_word_map[w]},
{"questions_id": q_id, "words_id": global_word_map[w]},
token,
)
# related_words + distractor_words nur für neue Fragen (batch)
if q_is_new:
rw_links = [
{"questions_id": q_id, "words_id": global_word_map[w]}
for w in words_list if w in global_word_map
]
if rw_links:
_directus("POST", "/items/questions_words", token, rw_links)
# distractor_words
for w in distractor_list:
if w in global_word_map:
_ensure_link(
"questions_distractor_words",
{"questions_id": q_id, "words_id": global_word_map[w]},
{"questions_id": q_id, "words_id": global_word_map[w]},
token,
)
dw_links = [
{"questions_id": q_id, "words_id": global_word_map[w]}
for w in distractor_list if w in global_word_map
]
if dw_links:
_directus("POST", "/items/questions_distractor_words", token, dw_links)
print(f"[generate_questions] obj={obj_id} stats={stats}")
return jsonify({"ok": True, "object_id": obj_id, "stats": stats})