| import json |
| from collections import Counter |
|
|
|
|
| def _accepted_v6_row(): |
| from figment.retrieval import load_protocol_cards |
| from scripts.generate_finetune_data import assemble_teacher_navigator_output |
| from scripts.generate_finetune_data import build_sft_row |
| from scripts.generate_finetune_data import case_spec_record |
| from scripts.generate_finetune_data import generate_case_spec |
| from scripts.generate_finetune_data import prepare_case |
| from scripts.generate_finetune_data import score_candidate |
|
|
| cards_by_id = {str(card["card_id"]): card for card in load_protocol_cards()} |
| spec = generate_case_spec(0, cards_by_id, dataset_version="figment_sft_v6_delta") |
| prepared = prepare_case(spec, cards_by_id) |
| candidate = assemble_teacher_navigator_output( |
| prepared, |
| { |
| "facts": ["confirmed field concern"], |
| "missing": ["confirm current mental status", "record available vital signs"], |
| "observe": ["confirm current mental status", "record available vital signs"], |
| "checklist": ["cite deterministic rule cards"], |
| "uncertain": ["some vitals remain incomplete"], |
| "sbar": { |
| "situation": "confirmed handoff concern", |
| "background": "field workflow setting", |
| "assessment_observations_only": "observations only from confirmed intake", |
| "handoff_request": "request protocol review", |
| }, |
| "script": "I am checking protocol observations.", |
| }, |
| ) |
| result = score_candidate(candidate, prepared) |
| assert result.passed is True, result.reward_components |
| row = build_sft_row( |
| prepared=prepared, |
| result=result, |
| teacher_model_id="teacher-test", |
| candidate_total=1, |
| candidate_passed=1, |
| ) |
| return row, case_spec_record(prepared) |
|
|
|
|
| def test_v6_failure_cycle_matches_updated_plan_and_interleaves_smoke_cases(): |
| from scripts.generate_finetune_data import V6_NAVIGATOR_COUNTS |
| from scripts.generate_finetune_data import _failure_class_for_index |
|
|
| categories = Counter( |
| _failure_class_for_index(index, dataset_version="figment_sft_v6_delta") |
| for index in range(sum(V6_NAVIGATOR_COUNTS.values())) |
| ) |
| first_twelve = { |
| _failure_class_for_index(index, dataset_version="figment_sft_v6_delta") |
| for index in range(12) |
| } |
|
|
| assert categories == V6_NAVIGATOR_COUNTS |
| assert {"required_observation_ownership", "observation_correction", "v6_preservation"} <= first_twelve |
|
|
|
|
| def test_v6_full_corpus_wrapper_pins_delta_defaults(): |
| from scripts.generate_v6_full_corpus import DEFAULT_OUTPUT_VERSION |
| from scripts.generate_v6_full_corpus import DEFAULT_REPAIR_COUNT |
| from scripts.generate_v6_full_corpus import DEFAULT_TEACHER_MODEL_ID |
| from scripts.generate_v6_full_corpus import build_corpus_args |
|
|
| assert DEFAULT_OUTPUT_VERSION == "figment_sft_v6_delta" |
| assert DEFAULT_TEACHER_MODEL_ID == "nvidia/nemotron-3-ultra-550b-a55b:free" |
| assert DEFAULT_REPAIR_COUNT == 250 |
| args = build_corpus_args(["--new-delta-count", "10", "--correction-count", "2", "--repair-count", "3", "--dry-run"]) |
| assert args[args.index("--navigator-count") + 1] == "12" |
| assert args[args.index("--repair-count") + 1] == "3" |
| assert args[-1] == "--dry-run" |
|
|
|
|
| def test_v6_sft_row_records_observation_policy_metadata(): |
| row, spec_record = _accepted_v6_row() |
| output = json.loads(row["messages"][1]["content"]) |
| metadata = row["metadata"] |
|
|
| assert row["version"] == "figment_sft_v6_delta" |
| assert row["category"] == "required_observation_ownership" |
| assert metadata["training_focus"] == "required_observation_ownership" |
| assert metadata["v6_training_policy_version"] == 1 |
| assert metadata["required_observation_targets"] |
| assert output["selected_required_observation_ids"] |
| assert set(metadata["must_include_selected_required_observation_ids"]) <= set( |
| output["selected_required_observation_ids"] |
| ) |
| assert output["missing_info_to_collect"] != output["next_observations_to_collect"] |
| observation_text = json.dumps( |
| output["missing_info_to_collect"] + output["next_observations_to_collect"] |
| ).lower() |
| assert "source card ids" not in observation_text |
| assert spec_record["dataset_version"] == "figment_sft_v6_delta" |
| assert spec_record["must_include_selected_required_observation_ids"] |
|
|
|
|
| def test_v6_policy_rejects_duplicate_metadata_and_invisible_selected_ids(): |
| from scripts.generate_finetune_data import v6_policy_issues |
|
|
| output = { |
| "source_cards": ["STROKE-SIGNS-v1"], |
| "selected_required_observation_ids": ["STROKE-SIGNS-v1::required_observation::1"], |
| "missing_info_to_collect": [ |
| "source card IDs", |
| "deterministic rule results", |
| "ask about something else", |
| "monitor closely", |
| ], |
| "next_observations_to_collect": [ |
| "source card IDs", |
| "deterministic rule results", |
| "ask about something else", |
| "monitor closely", |
| ], |
| "handoff_note_sbar": { |
| "situation": "stroke signs", |
| "background": "field setting", |
| "assessment_observations_only": "observations pending", |
| "handoff_request": "request protocol review", |
| }, |
| } |
| retrieved_cards = [ |
| { |
| "card_id": "STROKE-SIGNS-v1", |
| "card": { |
| "card_id": "STROKE-SIGNS-v1", |
| "required_observations": ["face droop observation"], |
| }, |
| } |
| ] |
|
|
| issues = v6_policy_issues( |
| output, |
| failure_class="required_observation_ownership", |
| expected_red_flag_rule_ids=[], |
| expected_candidate_pathway_card_ids=["STROKE-SIGNS-v1"], |
| structured_intake={}, |
| rule_results=[], |
| retrieved_cards=retrieved_cards, |
| target_protocol_card_id="STROKE-SIGNS-v1", |
| ) |
|
|
| assert "duplicate_long_missing_and_next_observations" in issues |
| assert any(issue.startswith("harness_metadata_observation:") for issue in issues) |
| assert "selected_required_observation_id_not_visible:STROKE-SIGNS-v1::required_observation::1" in issues |
|
|
|
|
| def test_v6_repair_scope_schedule_targets_observation_repairs(): |
| from scripts.augment_finetune_repair_rows import _scope_schedule |
|
|
| assert Counter(_scope_schedule(250, dataset_version="figment_sft_v6_delta")) == { |
| "missing_observations": 250 |
| } |
|
|
|
|
| def test_verify_v6_rejects_rows_with_harness_metadata_observations(tmp_path): |
| from scripts.verify_finetune_harness_alignment import verify_rows |
|
|
| row, spec_record = _accepted_v6_row() |
| output = json.loads(row["messages"][1]["content"]) |
| output["missing_info_to_collect"] = [ |
| "source card IDs", |
| "deterministic rule results", |
| "navigator validation result", |
| "confirmed intake status", |
| ] |
| output["next_observations_to_collect"] = list(output["missing_info_to_collect"]) |
| row["messages"][1]["content"] = json.dumps(output, sort_keys=True) |
|
|
| dataset = tmp_path / "rows.jsonl" |
| case_specs = tmp_path / "specs.jsonl" |
| dataset.write_text(json.dumps(row, sort_keys=True) + "\n", encoding="utf-8") |
| case_specs.write_text(json.dumps(spec_record, sort_keys=True) + "\n", encoding="utf-8") |
|
|
| summary = verify_rows(dataset_path=dataset, case_specs_path=case_specs) |
|
|
| assert summary["passed"] is False |
| assert summary["issue_types"]["v6_duplicate_long_missing_and_next_observations"] >= 1 |
| assert any(key.startswith("v6_harness_metadata_observation") for key in summary["issue_types"]) |
|
|
