feat(cefr): dual mistake ingestion, 1-tap options breakdown, and 260 curated questions

tests/test_api.py

@@ -1376,10 +1376,10 @@ def test_cefr_testing_and_gap_ingestion():
     assert len(levels) == 4
     level_map = {l["level"]: l for l in levels}
     assert "A1" in level_map and "A2" in level_map and "B1" in level_map and "B2" in level_map
-    assert level_map["A1"]["total_questions"] == 40
-    assert level_map["A2"]["total_questions"] == 40
-    assert level_map["B1"]["total_questions"] == 40
-    assert level_map["B2"]["total_questions"] == 40
+    assert level_map["A1"]["total_questions"] >= 65
+    assert level_map["A2"]["total_questions"] >= 65
+    assert level_map["B1"]["total_questions"] >= 65
+    assert level_map["B2"]["total_questions"] >= 65
 
     # 4. Fetch quiz batch
     quiz_res = client.get("/api/cefr/quiz?level=A2&count=5")
@@ -1393,8 +1393,12 @@ def test_cefr_testing_and_gap_ingestion():
     assert "clue" in q1
     assert len(q1["options"]) == 4
 
-    # 5. Answer INCORRECTLY -> Automated Gap Ingestion into SRS!
-    wrong_opt = "__completely_wrong_option__"
+    # 5. Answer INCORRECTLY -> Automated Dual Gap Ingestion (target + selected option)
+    # Pick a distractor from the question's actual options
+    # Find option that is not correct (we test with the first distractor)
+    # Let's inspect options and find one that is wrong
+    wrong_opt = [opt for opt in q1["options"] if opt.lower() != q1.get("term", "").lower()][0]
+
     ans_wrong = client.post("/api/cefr/answer", json={
         "question_id": q1["id"],
         "selected_option": wrong_opt
@@ -1402,12 +1406,15 @@ def test_cefr_testing_and_gap_ingestion():
     assert ans_wrong.status_code == 200
     w_data = ans_wrong.json()
     assert w_data["correct"] is False
-    assert w_data["card_created"] is True
+    assert w_data["card_created"] is True or w_data["card_updated"] is True
     assert w_data["card_id"] is not None
     assert w_data["correct_option"] != ""
     assert w_data["explanation"] != ""
+    assert w_data["selected_card_id"] is not None
+    assert w_data["selected_card_term"] == wrong_opt
+    assert len(w_data["options_breakdown"]) == 4
 
-    # Verify the card was actually created in vocabulary_cards with state 'learning' and level tag
+    # Verify target word card in SRS
     card_res = client.get(f"/api/cards/{w_data['card_id']}")
     assert card_res.status_code == 200
     ingested_card = card_res.json()
@@ -1415,6 +1422,27 @@ def test_cefr_testing_and_gap_ingestion():
     assert "level-a2" in ingested_card["tags"]
     assert "cefr-test" in ingested_card["tags"]
 
+    # Verify selected distractor card in SRS
+    sel_card_res = client.get(f"/api/cards/{w_data['selected_card_id']}")
+    assert sel_card_res.status_code == 200
+    sel_card = sel_card_res.json()
+    assert sel_card["srs_state"] == "learning"
+    assert "level-a2" in sel_card["tags"]
+    assert "cefr-test" in sel_card["tags"]
+
+    # Test manual ingestion of remaining option via /api/cefr/add-word
+    other_opt = [opt for opt in q1["options"] if opt != w_data["correct_option"] and opt != wrong_opt][0]
+    add_word_res = client.post("/api/cefr/add-word", json={
+        "level": "A2",
+        "term": other_opt,
+        "context_sentence": q1["sentence"]
+    })
+    assert add_word_res.status_code == 200
+    add_word_data = add_word_res.json()
+    assert add_word_data["status"] == "ok"
+    assert add_word_data["card_id"] is not None
+    assert add_word_data["term"] == other_opt
+
     # 6. Check that mode='mistakes' returns this question
     mistakes_res = client.get("/api/cefr/quiz?level=A2&mode=mistakes")
     assert mistakes_res.status_code == 200