33 lines
1.5 KiB
Python
33 lines
1.5 KiB
Python
import json
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import subprocess
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[1]
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ARTIFACT = ROOT / "references/oracle/prashna_marga_excerpt_locator_2026_07_20.json"
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INDEX = ROOT / "references/oracle/evidence_packet_index_2026_07_19.json"
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def test_prashna_marga_excerpt_locator_finds_keyword_windows_without_vendoring_text():
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data = json.loads(subprocess.check_output(["python3", "scripts/prashna_marga_excerpt_locator.py", "--date", "2026-07-20"], cwd=ROOT, text=True))
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assert data["scope"] == "prashna_marga_excerpt_locator"
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assert data["claim_status"] == "source_intake_only"
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assert data["summary"]["located_window_count"] >= 1
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assert data["summary"]["oracle_ready_count"] == 0
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row = data["located_windows"][0]
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assert row["window_hash"]
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assert row["line_start"] > 0
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assert row["line_end"] >= row["line_start"]
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assert len(row["short_context"]) < 260
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def test_prashna_marga_excerpt_locator_keeps_mismatch_queue_open():
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data = json.loads(ARTIFACT.read_text(encoding="utf-8"))
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assert data["upgrade_status"] == "candidate_not_oracle"
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assert "raw excerpt capture" in data["next_steps"][0]
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assert "complete_prashna_input" in data["missing_for_oracle"]
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def test_prashna_marga_excerpt_locator_is_indexed():
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packets = {row["packet_id"]: row for row in json.loads(INDEX.read_text(encoding="utf-8"))["packets"]}
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assert packets["prashna_marga_excerpt_locator_2026_07_20"]["claim_status"] == "source_intake_only"
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