Chiusura fase di ristrutturazione e modularizzazione del workflow per favorire sviluppo modulare

harness/tests/l0/test_db_connection.py

@@ -6,6 +6,7 @@ is not assumed reliable' gains real teeth for the data layer.
 """
 import pytest
 from sqlalchemy import create_engine, text
+from sqlalchemy.exc import SQLAlchemyError
 
 from tht.db.connection import can_create_in_schema, ping, writable_tables
 
@@ -43,10 +44,9 @@ def test_read_only_role_cannot_insert(ro_url):
     by our engine)."""
     engine = create_engine(ro_url)
     try:
-        with pytest.raises(Exception):
-            with engine.begin() as conn:
-                conn.execute(text('INSERT INTO dw.dim_pazienti VALUES (999, %s, %s)'),
-                             ("test", "test"))
+        with pytest.raises(SQLAlchemyError), engine.begin() as conn:
+            conn.execute(text('INSERT INTO dw.dim_pazienti VALUES (999, %s, %s)'),
+                         ("test", "test"))
     finally:
         engine.dispose()
 

harness/tests/l0/test_db_sampling.py

@@ -40,7 +40,7 @@ def test_unique_values_for_lsh_returns_most_frequent(admin_engine):
     schema = introspect(admin_engine, "testdb", "dw")
     # Before classify_all, all text columns are eligible=True by default. Sampling
     # only touches text types regardless.
-    values, skipped, truncated = unique_values_for_lsh(
+    values, _skipped, _truncated = unique_values_for_lsh(
         admin_engine, schema, LshConfig(max_values_per_column=100)
     )
     # dim_pazienti.citta: Milano, Bergamo, Brescia (3 distinct, all eligible text)