732642856
33 lines
1.6 KiB
Python
33 lines
1.6 KiB
Python
import json
|
|
import subprocess
|
|
from pathlib import Path
|
|
|
|
ROOT = Path(__file__).resolve().parents[1]
|
|
ARTIFACT = ROOT / "references/oracle/prashna_sphuta_mismatch_arbitration_2026_07_20.json"
|
|
INDEX = ROOT / "references/oracle/evidence_packet_index_2026_07_19.json"
|
|
|
|
|
|
def test_prashna_sphuta_mismatch_arbitration_records_formula_and_transcription_candidates():
|
|
data = json.loads(subprocess.check_output(["python3", "scripts/prashna_sphuta_mismatch_arbitration.py", "--date", "2026-07-20"], cwd=ROOT, text=True))
|
|
assert data["scope"] == "prashna_sphuta_mismatch_arbitration"
|
|
assert data["claim_status"] == "open_queue"
|
|
assert data["summary"]["mismatch_count"] >= 1
|
|
row = data["rows"][0]
|
|
assert row["trisphuta_status"] == "matches"
|
|
assert row["chatusphuta_status"] == "mismatch"
|
|
assert "formula_variant" in row["candidate_causes"]
|
|
assert "source_transcription" in row["candidate_causes"]
|
|
assert row["next_evidence_owner"] == "worked_example_collection"
|
|
|
|
|
|
def test_prashna_sphuta_mismatch_arbitration_adds_second_public_formula_candidate():
|
|
data = json.loads(ARTIFACT.read_text(encoding="utf-8"))
|
|
sources = {row["source_id"] for row in data["source_candidates"]}
|
|
assert "internet_archive_prasna_marga_bv_raman_sphuta_fragment" in sources
|
|
assert all(row["upgrade_status"] == "candidate_not_oracle" for row in data["source_candidates"])
|
|
|
|
|
|
def test_prashna_sphuta_mismatch_arbitration_is_indexed():
|
|
packets = {row["packet_id"]: row for row in json.loads(INDEX.read_text(encoding="utf-8"))["packets"]}
|
|
assert packets["prashna_sphuta_mismatch_arbitration_2026_07_20"]["claim_status"] == "open_queue"
|