import json import subprocess from pathlib import Path ROOT = Path(__file__).resolve().parents[1] PACKET = ROOT / "references/oracle/shadbala_component_joined_closure_packet_2026_07_21.json" INDEX = ROOT / "references/oracle/evidence_packet_index_2026_07_19.json" def test_joined_closure_generator_attaches_pyjhora_rows_to_all_42_tickets(): data = json.loads( subprocess.check_output( ["python3", "scripts/shadbala_component_joined_closure.py"], cwd=ROOT, text=True, ) ) assert data["scope"] == "shadbala_component_joined_closure_packet" assert data["claim_status"] == "partial" assert data["truth_matrix_allowed"] is False assert data["summary"]["joined_ticket_count"] == 42 assert data["summary"]["pyjhora_component_rows_joined"] == 42 assert data["summary"]["absolute_truth_upgrade_count"] == 0 def test_stable_components_are_grouped_before_harder_components(): data = json.loads(PACKET.read_text(encoding="utf-8")) priority = [row["component"] for row in data["component_priority"]] assert priority[:3] == ["naisargika", "dig", "drik"] assert priority[-3:] == ["chesta", "sthana", "kala"] rows = {row["component"]: row for row in data["component_priority"]} assert rows["naisargika"]["recommended_next_action"] == "freeze_observation_tolerance_after_second_case" assert rows["chesta"]["recommended_next_action"] == "preserve_method_variant" def test_joined_rows_keep_formula_unit_method_variant_statuses(): data = json.loads(PACKET.read_text(encoding="utf-8")) statuses = {row["closure_bucket"] for row in data["joined_rows"]} assert {"within_tolerance", "formula_or_unit_mismatch", "method_variant"} <= statuses for row in data["joined_rows"]: assert row["pyjhora_workbuddy_virupa"] is not None assert row["claim_upgrade"] == "none" def test_joined_closure_packet_is_indexed(): packets = { row["packet_id"]: row for row in json.loads(INDEX.read_text(encoding="utf-8"))["packets"] } packet = packets["shadbala_component_joined_closure_packet_2026_07_21"] assert packet["claim_status"] == "partial" assert packet["consumer_policy"] == "research_observation_only"