refactor: remove pgvector runtime

harness/tht/cli/memory_cmd.py

@@ -11,7 +11,6 @@ import typer
 from sqlalchemy.exc import OperationalError, ProgrammingError
 
 from tht.cli._guards import (
-    has_vector_write_rest,
     require_server_profile,
     require_vector_write_allowed,
 )
@@ -45,15 +44,8 @@ def _resync_memory(cfg):
 
 def clear_memory_index(cfg):
     from tht.adapters.factory import build_vector_store
-    from tht.cli.vector_cmd import make_embedder, open_store, require_direct_vector_cfg
 
-    if cfg.vectors is not None and cfg.vectors.type == "qdrant":
-        return build_vector_store(cfg, require_write=True).delete_kinds("memory", ["memory"])
-
-    require_direct_vector_cfg(cfg)
-    legacy_store = open_store(cfg, "memory")
-    legacy_store.sync([], make_embedder(cfg.embeddings), kinds={"memory"})
-    return 0
+    return build_vector_store(cfg, require_write=True).delete_kinds("memory", ["memory"])
 
 
 @memory_app.command("promote")
@@ -451,19 +443,13 @@ def search_cmd(
 def index_solved_session(cfg, session_id: str) -> int:
     """Indicizza la coppia domanda->SQL della sessione (kind solved_question).
 
-    Solleva RuntimeError se manca la writer key e SolvedIndexError se mancano gli
-    artefatti: il finalize li degrada a warning, il comando CLI li converte in
-    errori espliciti."""
+    Solleva SolvedIndexError se mancano gli artefatti: il finalize lo degrada a warning,
+    il comando CLI lo converte in errore esplicito."""
     from tht.adapters.factory import build_vector_store
     from tht.cli.sql_cmd import promoted_tables_for
     from tht.cli.vector_cmd import make_embedder
     from tht.solved import build_solved_snapshot, save_solved_question
 
-    if not has_vector_write_rest(cfg):
-        raise RuntimeError(
-            "vector_write_rest assente: la coppia domanda->SQL si indicizza solo con la "
-            "writer key configurata nel workspace yaml"
-        )
     store = build_vector_store(cfg, require_write=True)
     record = build_solved_snapshot(load_snapshot_or_exit(cfg, session_id), promoted_tables_for(cfg, session_id))
     return save_solved_question(
@@ -518,10 +504,9 @@ def solved_search_cmd(
     from rich.table import Table
 
     from tht.cli.vector_cmd import make_embedder, open_searcher
-    from tht.ports.vector import VectorReadUnavailable
+    from tht.ports.vector import VectorReadUnavailable, VectorStoreError
     from tht.solved import SOLVED_KIND
     from tht.vectorstore.embeddings import EmbeddingsError
-    from tht.vectorstore.rest_client import VectorRestError
 
     cfg = _load_config_or_exit(config)
     require_vector_cfg(cfg)
@@ -532,7 +517,7 @@ def solved_search_cmd(
         searcher = open_searcher(cfg)
         embedder = make_embedder(cfg.embeddings)
         hits = searcher.search(embedder.embed_query(question), top_n=top, kinds=[SOLVED_KIND])
-    except (VectorRestError, VectorReadUnavailable, EmbeddingsError, OperationalError) as e:
+    except (VectorStoreError, VectorReadUnavailable, EmbeddingsError, OperationalError) as e:
         typer.secho(
             f"ATTENZIONE: exemplar non disponibili ({e}). Prosegui senza.",
             fg=typer.colors.YELLOW, err=True,