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| from __future__ import annotations | |
| from copy import deepcopy | |
| import json | |
| from pathlib import Path | |
| import unittest | |
| from barbet_bgd.validation import ( | |
| ACTION_TOOLS, | |
| PRIMITIVES, | |
| RecordValidationError, | |
| assert_valid_record, | |
| find_disallowed_terms, | |
| validate_record, | |
| ) | |
| def minimal_valid_record() -> dict: | |
| return { | |
| "record_id": "bgd_verify_000001", | |
| "schema_version": "1.0.0", | |
| "primitive": "VERIFY", | |
| "mixture_category": "VERIFICATION_QE_ERROR_LOCALIZATION", | |
| "task_family": "ASR_QUALITY", | |
| "domain": "meeting", | |
| "language": ["zh-TW", "en"], | |
| "locale": "zh-TW", | |
| "split": "train", | |
| "source_group": "meeting_session_001", | |
| "task_spec": { | |
| "instruction": "比較參考文字與辨識結果,標記有證據支持的錯誤。", | |
| "allowed_labels": ["PASS", "FAIL", "UNCERTAIN"], | |
| "allowed_error_types": ["VALUE_CORRUPTION"], | |
| "allowed_actions": ["EDIT", "ABSTAIN"], | |
| "required_evidence": True, | |
| "abstention_allowed": True, | |
| }, | |
| "inputs": [ | |
| { | |
| "id": "src", | |
| "type": "reference_text", | |
| "role": "reference", | |
| "units": [ | |
| {"id": "src:w01", "text": "模型將於九月十五日上線。"}, | |
| ], | |
| }, | |
| { | |
| "id": "hyp", | |
| "type": "asr_hypothesis", | |
| "units": [ | |
| {"id": "hyp:w01", "text": "模型將於九月五日上線。"}, | |
| ], | |
| }, | |
| ], | |
| "target": { | |
| "decision": "FAIL", | |
| "errors": [ | |
| { | |
| "type": "VALUE_CORRUPTION", | |
| "severity": "major", | |
| "source_evidence": ["src:w01"], | |
| "target_evidence": ["hyp:w01"], | |
| } | |
| ], | |
| "post_edit": "模型將於九月十五日上線。", | |
| "action": { | |
| "tool": "EDIT", | |
| "arguments": { | |
| "target": "hyp:w01", | |
| "replacement": "模型將於九月十五日上線。", | |
| }, | |
| }, | |
| "confidence_target": 0.98, | |
| }, | |
| "component_targets": { | |
| "source_token_span": [0, 1], | |
| "target_token_span": [0, 1], | |
| "audio_interval": None, | |
| "image_region": None, | |
| }, | |
| "presentation": { | |
| "serializer": "json", | |
| "serializer_version": "1", | |
| "context_bucket": "0.5k-4k", | |
| }, | |
| "provenance": { | |
| "source_dataset": "unit_test", | |
| "license": "CC0-1.0", | |
| "source_hash": "sha256:test", | |
| "transformation": "date_substitution_v1", | |
| "teacher_model": None, | |
| "validator_version": "1.0.0", | |
| "human_review": True, | |
| }, | |
| "quality": { | |
| "intentional_negative_simplified_hits": [], | |
| "deterministic_verified": True, | |
| }, | |
| } | |
| class ValidationTests(unittest.TestCase): | |
| def test_minimal_record_is_valid(self) -> None: | |
| record = minimal_valid_record() | |
| self.assertEqual(validate_record(record), []) | |
| self.assertIsNone(assert_valid_record(record)) | |
| def test_all_ten_primitives_are_accepted(self) -> None: | |
| self.assertEqual( | |
| PRIMITIVES, | |
| { | |
| "COPY", | |
| "EDIT", | |
| "CLASSIFY", | |
| "EXTRACT", | |
| "LOCATE", | |
| "ALIGN", | |
| "MATCH", | |
| "RANK", | |
| "VERIFY", | |
| "ROUTE", | |
| }, | |
| ) | |
| for primitive in PRIMITIVES: | |
| with self.subTest(primitive=primitive): | |
| record = minimal_valid_record() | |
| record["primitive"] = primitive | |
| self.assertEqual(validate_record(record), []) | |
| def test_required_root_field_and_invalid_primitive_are_reported(self) -> None: | |
| record = minimal_valid_record() | |
| del record["source_group"] | |
| record["primitive"] = "SUMMARIZE" | |
| errors = validate_record(record) | |
| self.assertIn("missing required field: source_group", errors) | |
| self.assertTrue(any("primitive must be one of" in error for error in errors)) | |
| def test_language_and_locale_must_be_taiwan_first(self) -> None: | |
| record = minimal_valid_record() | |
| record["language"] = ["en", "zh-TW"] | |
| record["locale"] = "zh-Hant" | |
| errors = validate_record(record) | |
| self.assertIn("language[0] must be zh-TW", errors) | |
| self.assertIn("locale must be zh-TW", errors) | |
| def test_duplicate_unit_id_is_rejected(self) -> None: | |
| record = minimal_valid_record() | |
| record["inputs"][1]["units"][0]["id"] = "src:w01" | |
| errors = validate_record(record) | |
| self.assertIn("duplicate input unit ID: src:w01", errors) | |
| def test_all_symbolic_reference_families_must_resolve(self) -> None: | |
| cases = { | |
| "evidence": {"evidence": ["missing:evidence"]}, | |
| "locations": {"locations": ["missing:location"]}, | |
| "copy": {"copy_ids": ["missing:copy"]}, | |
| "alignment": { | |
| "alignments": [{"source": "src:w01", "target": "missing:alignment"}] | |
| }, | |
| } | |
| for name, extra in cases.items(): | |
| with self.subTest(name=name): | |
| record = minimal_valid_record() | |
| record["target"].update(extra) | |
| errors = validate_record(record) | |
| self.assertTrue( | |
| any("references unknown input ID" in error for error in errors), | |
| errors, | |
| ) | |
| def test_required_evidence_and_reasonable_abstention(self) -> None: | |
| record = minimal_valid_record() | |
| record["target"]["errors"] = [] | |
| self.assertIn( | |
| "task_spec.required_evidence is true but target has no evidence", | |
| validate_record(record), | |
| ) | |
| abstain = minimal_valid_record() | |
| abstain["task_spec"]["allowed_error_types"] = ["INSUFFICIENT_EVIDENCE"] | |
| abstain["target"] = { | |
| "decision": "ABSTAIN", | |
| "errors": [{"type": "INSUFFICIENT_EVIDENCE"}], | |
| "action": {"tool": "ABSTAIN", "arguments": {}}, | |
| "confidence_target": 0.25, | |
| } | |
| self.assertEqual(validate_record(abstain), []) | |
| abstain["task_spec"]["abstention_allowed"] = False | |
| self.assertIn( | |
| "target abstains but task_spec.abstention_allowed is false", | |
| validate_record(abstain), | |
| ) | |
| def test_positive_supervision_rejects_simplified_and_mainland_terms(self) -> None: | |
| record = minimal_valid_record() | |
| record["task_spec"]["instruction"] = "请检查这个软件的输出。" | |
| errors = validate_record(record) | |
| self.assertTrue(any("task_spec.instruction" in error for error in errors), errors) | |
| record = minimal_valid_record() | |
| record["target"]["post_edit"] = "請檢查這個軟件的輸出。" | |
| errors = validate_record(record) | |
| self.assertTrue(any("target.post_edit" in error for error in errors), errors) | |
| def test_intentional_negative_may_contain_simplified_text_when_audited(self) -> None: | |
| record = minimal_valid_record() | |
| bad_text = "这个软件会在九月上线。" | |
| record["inputs"][1]["units"][0]["text"] = bad_text | |
| record["task_spec"]["allowed_error_types"] = ["CONSTRAINT_VIOLATION"] | |
| record["target"]["errors"] = [ | |
| { | |
| "type": "CONSTRAINT_VIOLATION", | |
| "severity": "major", | |
| "source_evidence": ["src:w01"], | |
| "target_evidence": ["hyp:w01"], | |
| } | |
| ] | |
| record["quality"]["intentional_negative_simplified_hits"] = [ | |
| { | |
| "unit_id": "hyp:w01", | |
| "hits": find_disallowed_terms(bad_text), | |
| } | |
| ] | |
| self.assertEqual(validate_record(record), []) | |
| def test_intentional_negative_requires_error_evidence_and_quality_log(self) -> None: | |
| record = minimal_valid_record() | |
| record["inputs"][1]["units"][0]["text"] = "这个软件会在九月上线。" | |
| record["target"]["errors"] = [] | |
| errors = validate_record(record) | |
| self.assertTrue(any("not captured by target.errors evidence" in error for error in errors)) | |
| self.assertTrue( | |
| any("intentional_negative_simplified_hits is missing ID" in error for error in errors) | |
| ) | |
| def test_tool_and_confidence_are_closed_and_bounded(self) -> None: | |
| self.assertNotIn("RUN_ARBITRARY_PYTHON", ACTION_TOOLS) | |
| record = minimal_valid_record() | |
| record["target"]["action"]["tool"] = "RUN_ARBITRARY_PYTHON" | |
| record["target"]["confidence_target"] = 1.01 | |
| errors = validate_record(record) | |
| self.assertIn("target.action.tool must be a closed-world action tool", errors) | |
| self.assertIn( | |
| "target.confidence_target must be a finite number in [0, 1]", errors | |
| ) | |
| def test_assert_valid_record_exposes_all_errors(self) -> None: | |
| record = minimal_valid_record() | |
| record["locale"] = "zh-CN" | |
| record["target"]["confidence_target"] = float("nan") | |
| with self.assertRaises(RecordValidationError) as raised: | |
| assert_valid_record(record) | |
| self.assertGreaterEqual(len(raised.exception.errors), 2) | |
| def test_schema_is_json_and_matches_closed_world_constants(self) -> None: | |
| schema_path = Path(__file__).parents[1] / "schema" / "canonical_record.schema.json" | |
| schema = json.loads(schema_path.read_text(encoding="utf-8")) | |
| self.assertEqual(set(schema["required"]), set(minimal_valid_record())) | |
| self.assertEqual(set(schema["$defs"]["primitive"]["enum"]), PRIMITIVES) | |
| self.assertEqual(set(schema["$defs"]["action_tool"]["enum"]), ACTION_TOOLS) | |
| if __name__ == "__main__": | |
| unittest.main() | |