| |
| """Validación del schema y de la spec canónica.""" |
| from __future__ import annotations |
|
|
| import json |
| import unittest |
| from copy import deepcopy |
| from pathlib import Path |
|
|
| from jsonschema import Draft202012Validator |
|
|
| ROOT = Path(__file__).resolve().parents[1] |
| SCHEMA = json.loads((ROOT / "data" / "iom_spec.schema.json").read_text(encoding="utf-8")) |
| SPEC = json.loads((ROOT / "data" / "iom_spec.json").read_text(encoding="utf-8")) |
|
|
|
|
| class SpecificationSchemaTests(unittest.TestCase): |
| @classmethod |
| def setUpClass(cls): |
| cls.validator = Draft202012Validator(SCHEMA) |
|
|
| def test_canonical_spec_conforms_to_schema(self): |
| errors = list(self.validator.iter_errors(SPEC)) |
| self.assertEqual(errors, []) |
|
|
| def test_canonical_position_metadata_and_triad_indexing_are_accepted(self): |
| spec = deepcopy(SPEC) |
| spec["positions"]["indices"] = [0, 1, 2] |
| spec["positions"]["adv_labels"] = ["→", "0", "→"] |
| spec["positions"]["ret_labels"] = ["←", "0", "←"] |
| spec["positions"]["perspectives"] = ["Ind", "D", "Tot"] |
| spec["triads"]["index_base"] = 1 |
| spec["triads"]["note"] = "Los arrays empiezan en cero; triad_index es 1-based." |
| errors = list(self.validator.iter_errors(spec)) |
| self.assertEqual(errors, []) |
|
|
| def test_invalid_position_metadata_is_rejected(self): |
| invalid_spec = deepcopy(SPEC) |
| invalid_spec["positions"]["indices"] = [0, 1] |
| errors = list(self.validator.iter_errors(invalid_spec)) |
| self.assertTrue(any(list(error.absolute_path)[:1] == ["positions"] for error in errors)) |
|
|
| def test_unknown_triad_metadata_is_rejected(self): |
| spec = deepcopy(SPEC) |
| spec["triads"]["unexpected"] = True |
| errors = list(self.validator.iter_errors(spec)) |
| self.assertTrue(any(list(error.absolute_path) == ["triads"] for error in errors)) |
|
|
| def test_missing_spec_version_is_rejected(self): |
| invalid_spec = deepcopy(SPEC) |
| del invalid_spec["spec_version"] |
| errors = list(self.validator.iter_errors(invalid_spec)) |
| self.assertTrue(any("spec_version" in error.message for error in errors)) |
|
|
| def test_malformed_semantic_version_is_rejected(self): |
| invalid_spec = deepcopy(SPEC) |
| invalid_spec["spec_version"] = "1.1" |
| errors = list(self.validator.iter_errors(invalid_spec)) |
| self.assertTrue(any(list(error.absolute_path) == ["spec_version"] for error in errors)) |
|
|
| def test_purpose_is_present_and_matches_schema(self): |
| """La unidad informativa queda registrada en el spec canónico.""" |
| self.assertIn("purpose", SPEC) |
| purpose = SPEC["purpose"] |
| self.assertEqual(purpose["id"], "informational_unit_creation") |
| self.assertIn("mínima estructura autocontenida", purpose["definition"]) |
| self.assertIn("criterion", purpose) |
| errors = list(self.validator.iter_errors(SPEC)) |
| self.assertEqual(errors, []) |
|
|
| def test_generated_from_records_purpose_id(self): |
| stamp = json.loads((ROOT / "datasets" / "GENERATED_FROM.json").read_text(encoding="utf-8")) |
| self.assertEqual(stamp.get("purpose_id"), "informational_unit_creation") |
| self.assertEqual(stamp.get("spec_version"), SPEC["spec_version"]) |
|
|
|
|
| if __name__ == "__main__": |
| unittest.main() |
|
|
