feat(5.18): corpus k-NN exemple etichetate + seed real Haiku (17181 op)

Seed app/data/operatii-etichetate.json regenerat cu subagenti Haiku pe TOATE
cele 17181 operatii distincte (ordine frecventa, 100%), inlocuind seed-ul Groq
(3758). Validare Haiku vs Groq pe 157 op etichetate: la dezacorduri Haiku corect
~22/30, Groq ~0. Haiku prinde gunoiul ratat de Groq (ITP, chirie anvelope, nume
piese fara actiune): NUL 2200 (12.8%) vs ~7.6% Groq; adaptare electronica OE-7
(nu OE-5), placute frana uzura OE-1 (nu OE-F avarie).

US-001..006: prefiltru NUL determinist, etichetator offline, generator seed,
seeder mapping_suggestions (in init_db, gated seed_operatii_enabled), embeddings
indexeaza corpus etichetat, enrich NUL+kNN. Distributie seed: OE-1 80.1%, NUL
12.8%, OE-2 3.5%, restul rar (OE-4/3/7/8/R/I/5, AITLV, R-ODO).

config: seed_operatii_enabled=True + embeddings_enabled=True implicit (SILVER
populat + sugestii semantice; ambele suggestion-only, dezactivabile prin env).

Suita: 1387 passed, 1 deselected (live).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

app/db.py

@@ -37,6 +37,13 @@ def init_db() -> None:
         from .mapping import seed_nomenclator_if_empty
 
         seed_nomenclator_if_empty(conn)
+        # Seed corpus operatii etichetate -> mapping_suggestions (SILVER, PRD 5.18 US-004).
+        # Gated: OFF in teste (conftest), ON in productie. INSERT OR IGNORE -> idempotent.
+        if get_settings().seed_operatii_enabled:
+            from .operatii_seed import seed_operatii_etichetate
+
+            seed_operatii_etichetate(conn)
+        conn.commit()
     finally:
         conn.close()