File size: 4,166 Bytes
ba71465 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 | from extractor.perl_logic_extractor import extract_rules
from migration.llm_converter import convert_rules
from perl_checks.legacy_checks import LEGACY_RULES, get_perl_rule_snippets
from python_checks.generated_checks import compile_generated_checks
def test_deterministic_conversion_behaves_like_expected_templates() -> None:
structured_rules = extract_rules(get_perl_rule_snippets(LEGACY_RULES))
converted_rules = convert_rules(structured_rules, provider="simulated")
checks, metadata = compile_generated_checks(converted_rules)
energy_tag = checks["energy_kcal_vs_kj"]({"energy_kcal": 200.0, "energy_kj": 100.0})
assert energy_tag == "energy-value-in-kcal-greater-than-in-kj"
assert checks["energy_kcal_vs_kj"]({"energy_kcal": 50.0, "energy_kj": 100.0}) is None
sugars_tag = checks["sugars_over_105g"]({"sugars": 106.0})
assert sugars_tag == "sugars-value-over-105g"
assert checks["sugars_over_105g"]({"sugars": 104.9}) is None
low_energy_tag = checks["energy_kj_mismatch_low"]({"energy_kj": 300.0, "energy_kcal": 100.0})
assert low_energy_tag == "energy-value-in-kcal-does-not-match-value-in-kj-low"
assert checks["energy_kj_mismatch_low"]({"energy_kj": 380.0, "energy_kcal": 100.0}) is None
high_energy_tag = checks["energy_kj_mismatch_high"]({"energy_kj": 500.0, "energy_kcal": 100.0})
assert high_energy_tag == "energy-value-in-kcal-does-not-match-value-in-kj-high"
assert checks["energy_kj_mismatch_high"]({"energy_kj": 450.0, "energy_kcal": 100.0}) is None
computed_low_tag = checks["energy_kj_computed_mismatch_low"]({"energy_kj_computed": 60.0, "energy_kj": 100.0})
assert computed_low_tag == "energy-value-in-kj-does-not-match-value-computed-from-other-nutrients-low"
assert checks["energy_kj_computed_mismatch_low"]({"energy_kj_computed": 80.0, "energy_kj": 100.0}) is None
computed_high_tag = checks["energy_kj_computed_mismatch_high"]({"energy_kj_computed": 150.0, "energy_kj": 100.0})
assert computed_high_tag == "energy-value-in-kj-does-not-match-value-computed-from-other-nutrients-high"
assert checks["energy_kj_computed_mismatch_high"]({"energy_kj_computed": 130.0, "energy_kj": 100.0}) is None
sugar_starch_tag = checks["sugars_plus_starch_vs_carbohydrates"](
{"sugars": 12.0, "starch": 8.2, "carbohydrates": 20.0}
)
assert sugar_starch_tag == "sugars-plus-starch-greater-than-carbohydrates"
assert (
checks["sugars_plus_starch_vs_carbohydrates"]({"sugars": 8.0, "starch": 6.0, "carbohydrates": 20.0}) is None
)
missing_lc_tag = checks["main_language_code_missing"]({"lc": " "})
assert missing_lc_tag == "main-language-code-missing"
assert checks["main_language_code_missing"]({"lc": "en"}) is None
missing_lang_tag = checks["main_language_missing"]({"lang": ""})
assert missing_lang_tag == "main-language-missing"
assert checks["main_language_missing"]({"lang": "en"}) is None
ca_allergen_tag = checks["ca_allergen_evidence_missing_ingredients_text"](
{"allergen_evidence_present": 1, "ingredients_text_present": 0}
)
assert ca_allergen_tag == "ca-allergen-evidence-but-missing-ingredients-text"
assert (
checks["ca_allergen_evidence_missing_ingredients_text"](
{"allergen_evidence_present": 1, "ingredients_text_present": 1}
)
is None
)
ca_fop_missing_tag = checks["ca_fop_required_but_symbol_missing"](
{
"fop_threshold_exceeded": 1,
"fop_symbol_present": 0,
"fop_exempt_proxy": 0,
"product_is_prepackaged_proxy": 1,
}
)
assert ca_fop_missing_tag == "ca-fop-required-but-symbol-missing"
assert (
checks["ca_fop_required_but_symbol_missing"](
{
"fop_threshold_exceeded": 1,
"fop_symbol_present": 1,
"fop_exempt_proxy": 0,
"product_is_prepackaged_proxy": 1,
}
)
is None
)
assert metadata["energy_kcal_vs_kj"]["provider"] == "simulated"
|