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

harness/tests/test_mschema_eligibility.py

@@ -4,7 +4,7 @@ Wide text (lettere di dimissione, note, anamnesi) is excluded everywhere; data
 comes only from numerics, enums, temporals, booleans, and short text. Annotation
 override wins over the physical classification.
 """
-from datetime import datetime
+from datetime import UTC, datetime
 
 from tht.config import EligibilityConfig
 from tht.mschema.eligibility import classify_all, classify_column, effective_eligibility
@@ -70,16 +70,16 @@ def test_array_type_is_wide_text():
 
 def _schema_with(**columns) -> PhysicalSchema:
     return PhysicalSchema(
-        database="db", schema="dw", introspected_at=datetime(2025, 1, 1),
+        database="db", schema="dw", introspected_at=datetime(2025, 1, 1, tzinfo=UTC),
         tables={"t": TablePhysical(columns={k: ColumnPhysical(**v) for k, v in columns.items()})},
     )
 
 
 def test_classify_all_marks_wide_text_and_clears_examples():
     schema = _schema_with(
-        note=dict(type="text", examples=["a" * 500, "b" * 400]),
-        cod=dict(type="varchar(10)", examples=["X", "Y"]),
-        etl_last_update=dict(type="timestamp", examples=[]),
+        note={"type": "text", "examples": ["a" * 500, "b" * 400]},
+        cod={"type": "varchar(10)", "examples": ["X", "Y"]},
+        etl_last_update={"type": "timestamp", "examples": []},
     )
     classify_all(schema, CFG)
     cols = schema.tables["t"].columns