"""Tests for value normalization (Informix t/f → bool, etc.).""" import pytest from mcp_cucm_axl.normalize import ( BOOLEAN_COLUMNS, normalize_bool, normalize_row, normalize_rows, ) class TestNormalizeBool: def test_t_becomes_true(self): assert normalize_bool("t") is True def test_f_becomes_false(self): assert normalize_bool("f") is False def test_passthrough_other_strings(self): assert normalize_bool("True") == "True" assert normalize_bool("yes") == "yes" def test_passthrough_native_types(self): assert normalize_bool(None) is None assert normalize_bool(0) == 0 assert normalize_bool(True) is True assert normalize_bool([]) == [] class TestNormalizeRow: def test_normalizes_known_boolean_columns(self): row = {"block_enabled": "t", "name": "RP-1", "ismessagewaitingon": "f"} result = normalize_row(row) assert result["block_enabled"] is True assert result["ismessagewaitingon"] is False assert result["name"] == "RP-1" # not a boolean column, untouched def test_unknown_column_with_t_value_unchanged(self): # Conservative: only normalize columns we know are boolean. # Avoids false positives on columns where 't' is meaningful (e.g. # a single-character device class code). row = {"unknown_field": "t"} result = normalize_row(row) assert result["unknown_field"] == "t" def test_empty_row(self): assert normalize_row({}) == {} class TestNormalizeRows: def test_processes_each_row(self): rows = [ {"block_enabled": "t", "name": "RP-1"}, {"block_enabled": "f", "name": "RP-2"}, ] result = normalize_rows(rows) assert result[0]["block_enabled"] is True assert result[1]["block_enabled"] is False def test_empty_list(self): assert normalize_rows([]) == [] class TestBooleanColumnsSet: def test_known_columns_present(self): # Smoke test that the canonical columns are in the set assert "block_enabled" in BOOLEAN_COLUMNS assert "blockenable" in BOOLEAN_COLUMNS assert "isemergencyservicenumber" in BOOLEAN_COLUMNS