732642856
107 lines
3.9 KiB
Python
107 lines
3.9 KiB
Python
from __future__ import annotations
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import json
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import subprocess
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import sys
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from pathlib import Path
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import pytest
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ROOT = Path(__file__).resolve().parents[1]
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PACKET = ROOT / "references/oracle/full_technique_invocation_matrix_2026_07_22.json"
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INDEX = ROOT / "references/oracle/evidence_packet_index_2026_07_19.json"
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@pytest.fixture(scope="module")
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def matrix_packet() -> dict:
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subprocess.run(
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[sys.executable, "scripts/full_technique_invocation_matrix.py"],
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cwd=ROOT,
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check=True,
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text=True,
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capture_output=True,
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)
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return json.loads(PACKET.read_text(encoding="utf-8"))
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def test_full_matrix_scans_all_required_runtime_layers(matrix_packet: dict) -> None:
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data = matrix_packet
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assert data["scope"] == "full_technique_invocation_matrix"
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assert data["production_tuning_allowed"] is False
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assert data["truth_matrix_allowed"] is False
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assert "not numeric oracle closure" in data["boundary"]
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assert set(data["scan_roots"]) == {"skill", "api", "ui", "scripts", "references", "tests"}
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assert data["summary"]["technique_count"] >= 50
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assert data["summary"]["top50_count"] > 0
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def test_first_batch_contains_requested_technique_families(matrix_packet: dict) -> None:
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data = matrix_packet
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first_batch = {row["technique_id"]: row for row in data["first_batch_execution_queue"]}
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required = {
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"ul_arudha_upapada",
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"a7_arudha_relationship",
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"a10_arudha_career",
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"kp_exact_cusp",
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"kp_star_sub_sub",
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"shadbala_chesta",
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"shadbala_sthana",
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"muhurta",
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"tarabala",
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"chandrabala",
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"rahu_kalam",
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"abhijit_muhurta",
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"prashna",
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"sphuta",
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"gulika",
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"saham",
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"tajika",
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}
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assert required <= set(first_batch)
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for key in required:
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assert first_batch[key]["first_batch_requested"] is True
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assert first_batch[key]["priority_batch"] in {"P0", "P1"}
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assert first_batch[key]["claim_boundary"]
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batched = {
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row["technique_id"]
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for bucket in ("P0_first_batch_requested", "P1_first_batch_requested")
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for row in data["migration_batches"][bucket]
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}
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assert required <= batched
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assert data["migration_batches"]["P2_deferred"]
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def test_top50_tracks_material_that_is_not_fully_invoked(matrix_packet: dict) -> None:
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data = matrix_packet
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top50 = data["top50_material_not_invoked"]
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assert 1 <= len(top50) <= 50
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for row in top50:
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assert row["has_material"] is True
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assert row["has_material_but_not_fully_invoked"] is True
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assert row["missing_integration"]
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assert row["priority_score"] > 0
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top_ids = {row["technique_id"] for row in top50}
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assert {"kp_exact_cusp", "shadbala_chesta", "muhurta"} & top_ids
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def test_blocked_claims_do_not_upgrade_truth_or_commercial_policy(matrix_packet: dict) -> None:
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data = matrix_packet
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rows = {row["technique_id"]: row for row in data["rows"]}
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for key in ("kp_exact_cusp", "kp_star_sub_sub", "prashna", "sphuta", "gulika", "saham", "tajika"):
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assert rows[key]["claim_status"] == "blocked_or_observation_only"
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assert rows[key]["commercial_sync_policy"] == "sync_observation_or_boundary_contract_only"
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assert rows["shadbala_chesta"]["claim_status"] == "component_partial"
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assert rows["shadbala_sthana"]["claim_status"] == "component_partial"
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assert "component-level" in rows["shadbala_chesta"]["claim_boundary"]
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def test_full_matrix_packet_is_indexed_without_truth_upgrade() -> None:
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index = json.loads(INDEX.read_text(encoding="utf-8"))
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packets = {row["packet_id"]: row for row in index["packets"]}
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packet = packets["full_technique_invocation_matrix_2026_07_22"]
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assert packet["claim_status"] == "open_queue"
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assert packet["consumer_policy"] == "research_planning_only"
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assert "does not upgrade" in packet["claim_boundary"]
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assert index["summary"]["packet_count"] == len(index["packets"])
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