feat: complete catalog-driven preprocessing

harness/tht/cli/search_cmd.py

@@ -9,7 +9,7 @@ from tht.config import workspace_id_for_config
 
 KIND_MAP = {
     "evidence": ["evidence"],
-    "schema": ["schema_table", "schema_column"],
+    "schema": ["schema_table", "schema_column", "schema_relationship"],
     "values": [],  # solo LSH
     "formula": ["evidence"],
 }
@@ -235,15 +235,8 @@ def search_cmd(
         from tht.mschema.render import to_mschema_text
         from tht.search import schema_tables
 
-        phys_file = dwh_snapshot.physical
-        if not phys_file.exists():
-            typer.secho(
-                f"ERRORE: {phys_file} non trovato. Esegui prima `tht schema introspect`.",
-                fg=typer.colors.RED, err=True,
-            )
-            raise typer.Exit(code=1)
         try:
-            schema_context = load_schema_context(cfg, physical_file=phys_file)
+            schema_context = load_schema_context(cfg)
         except SchemaContextError as exc:
             typer.secho(f"ERRORE: {exc}", fg=typer.colors.RED, err=True)
             raise typer.Exit(code=1) from None
@@ -390,7 +383,7 @@ def pack_cmd(
 
     workspace_id = workspace_id_for_config(cfg, config)
     validate_corpus_workspace(cfg, workspace_id)
-    dwh_snapshot = _leased_dwh_snapshot(cfg, ctx)
+    _leased_dwh_snapshot(cfg, ctx)
     require_vector_cfg(cfg)
 
     tables: list[dict] = []
@@ -414,12 +407,13 @@ def pack_cmd(
 
     if vec is not None:
         descriptions: dict[str, str] = {}
-        phys_file = dwh_snapshot.physical
-        if phys_file.exists():
-            from tht.mschema.models import PhysicalSchema
+        from tht.mschema.context import SchemaContextError, load_schema_context
 
-            phys = PhysicalSchema.from_yaml(phys_file)
+        try:
+            phys = load_schema_context(cfg).physical
             descriptions = {t: tab.comment for t, tab in phys.tables.items()}
+        except SchemaContextError:
+            pass
         try:
             cand = combined_search(
                 keyword=question, lsh_hits=None, store=searcher, embedder=embedder,