feat(5.15+5.14): CLOSE — fix-uri code-review + embeddings functional

5.15 (propagare design + dashboard editare) si 5.14 (mapare LLM distilata)
inchise dupa /code-review high. 8 buguri reparate TDD:

- HIGH modal nu se deschidea pe randul slim (base.html: trimitere-slim)
- HIGH /repune trunchia prestatii (declaratie incompleta la RAR) -> iterare
  peste existing, codes pozitional
- HIGH embeddings incarca model ~230MB degeaba pe corpus gol -> poarta has_corpus()
- HIGH picker chips gol pe re-render eroare -> conn/account_id pe toate ramurile
- MED obs re-derivat dupa stergere explicita -> _merge_override pastreaza obs=''
- MED mapare salvata fara denumire poluă GOLD -> _record_gold_validation guard
- MED typo nome_prestatie -> nume_prestatie in select /repune
- MED bucketare timp +3h gresita iarna -> SQLite localtime + TZ=Europe/Bucharest

Embeddings WIRE-uit functional (PRD #15, decizie user): ensure_embeddings_corpus
construieste corpus din nomenclator, gated pe AUTOPASS_EMBEDDINGS_ENABLED (default
off). Marime model corectata ~50MB->~230MB (estimare PRD gresita).

Cleanup: hoist load_* din bucla bulk-fix; import re la top.
Regresie: 1256 passed, 1 deselected (live), 0 failed.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

tests/conftest.py

@@ -14,10 +14,34 @@ variabila exportata explicit in shell. Testele care chiar verifica enforcement-u
 import hashlib
 import os
 
+import pytest
+
 os.environ.setdefault("AUTOPASS_REQUIRE_API_KEY", "false")
 os.environ.setdefault("AUTOPASS_WORKER_USE_TEST_CREDS", "false")
 
 
+@pytest.fixture(autouse=True)
+def _reset_embeddings_singleton():
+    """Reseteaza singleton-ul global de embeddings intre teste (izolare de ordine).
+
+    `enrich_suggestions` foloseste `embeddings.has_corpus()` ca poarta; un test care
+    indexeaza corpusul pe singleton-ul global (ex. test_module_level_index_corpus)
+    altfel l-ar lasa populat -> teste ulterioare care cheama pending_unmapped ar primi
+    sugestii embedding spurioase. Resetam la None inainte si dupa fiecare test.
+    """
+    try:
+        import app.embeddings as _emb
+        _emb._engine = None
+    except Exception:
+        pass
+    yield
+    try:
+        import app.embeddings as _emb
+        _emb._engine = None
+    except Exception:
+        pass
+
+
 def make_test_cui(seed: str = "") -> str:
     """Factory centralizat (D#14, PRD 5.12 US-001): genereaza un CUI de test unic din seed.