732642856
139 lines
4.9 KiB
Python
139 lines
4.9 KiB
Python
import json
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from pathlib import Path
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from scripts import vedastro_parity_matrix
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def _row(matrix, capability):
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for row in matrix["rows"]:
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if row["vedastro_capability"] == capability:
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return row
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raise AssertionError(f"missing row: {capability}")
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def test_build_matrix_has_p0_public_vedastro_capability_rows():
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matrix = vedastro_parity_matrix.build_matrix()
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assert matrix["scope"] == "vedastro_parity_matrix"
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assert matrix["summary"]["row_count"] >= 10
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assert matrix["summary"]["p0_count"] >= 10
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required = {
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"EventsAtRange / Life Event Graph",
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"Ayanamsa Selection",
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"D1-D60 Divisional Charts",
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"Ashtakavarga",
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"Shadbala",
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"Jaimini / Chara Dasha",
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"Synastry / Ashtakoot",
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"Tajika Annual",
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"Prashna / Horary",
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"Report Rendering",
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"MCP / API Surface",
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}
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assert required.issubset({row["vedastro_capability"] for row in matrix["rows"]})
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def test_range_scan_is_adapter_gap_not_local_complete_claim():
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matrix = vedastro_parity_matrix.build_matrix()
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row = _row(matrix, "EventsAtRange / Life Event Graph")
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assert row["priority"] == "P0"
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assert row["local_status"] in {"partial", "missing"}
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assert row["can_call_vedastro"] is True
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assert row["recommended_path"] == "hybrid_local_plus_vedastro"
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assert row["adjudicator_use"] == "oracle_only"
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assert "range" in " ".join(row["local_assets"]).lower()
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def test_local_assets_still_need_parity_or_bridge_when_not_fully_exploited():
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matrix = vedastro_parity_matrix.build_matrix()
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jaimini = _row(matrix, "Jaimini / Chara Dasha")
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assert jaimini["local_status"] in {"covered", "complete"}
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assert "jaimini" in " ".join(jaimini["local_assets"]).lower()
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assert jaimini["recommended_path"] in {"local_native", "hybrid_local_plus_vedastro"}
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synastry = _row(matrix, "Synastry / Ashtakoot")
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assert synastry["local_status"] in {"covered", "complete"}
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assert any("ashtakoot" in asset.lower() for asset in synastry["local_assets"])
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assert synastry["adjudicator_use"] in {"secondary", "primary"}
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def test_matrix_rows_use_allowed_contract_values():
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matrix = vedastro_parity_matrix.build_matrix()
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allowed_status = {"complete", "covered", "partial", "missing", "external_only"}
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allowed_path = {
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"local_native",
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"vedastro_adapter",
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"new_local_impl",
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"external_evidence_only",
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"hybrid_local_plus_vedastro",
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}
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allowed_fastest_lane = {
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"local_native_preferred",
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"official_mcp",
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"official_python_bridge",
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"rest_adapter",
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"hybrid_router",
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"external_evidence_only",
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}
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allowed_priority = {"P0", "P1", "P2"}
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allowed_use = {"primary", "secondary", "oracle_only", "not_used"}
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for row in matrix["rows"]:
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assert set(row) == {
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"vedastro_capability",
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"category",
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"local_status",
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"local_assets",
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"can_call_vedastro",
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"recommended_path",
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"fastest_path_lane",
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"priority",
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"license_boundary",
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"adjudicator_use",
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"gap_notes",
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"route_notes",
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}
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assert row["local_status"] in allowed_status
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assert row["recommended_path"] in allowed_path
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assert row["fastest_path_lane"] in allowed_fastest_lane
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assert row["priority"] in allowed_priority
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assert row["adjudicator_use"] in allowed_use
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assert isinstance(row["local_assets"], list)
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assert isinstance(row["route_notes"], str)
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def test_render_markdown_contains_summary_and_honesty_boundary():
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matrix = vedastro_parity_matrix.build_matrix()
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markdown = vedastro_parity_matrix.render_markdown(matrix)
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assert "# VedAstro Parity Matrix" in markdown
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assert "## Honesty Boundary" in markdown
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assert "EventsAtRange / Life Event Graph" in markdown
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assert "external adapter evidence" in markdown
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assert "Fastest lane" in markdown
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def test_matrix_declares_fastest_path_lane_for_high_value_rows():
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matrix = vedastro_parity_matrix.build_matrix()
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assert _row(matrix, "EventsAtRange / Life Event Graph")["fastest_path_lane"] == "rest_adapter"
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assert _row(matrix, "Shadbala")["fastest_path_lane"] == "official_python_bridge"
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assert _row(matrix, "MCP / API Surface")["fastest_path_lane"] == "official_mcp"
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assert _row(matrix, "D1-D60 Divisional Charts")["fastest_path_lane"] == "local_native_preferred"
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def test_write_outputs_creates_json_and_markdown(tmp_path):
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matrix = vedastro_parity_matrix.build_matrix()
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json_path = tmp_path / "matrix.json"
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md_path = tmp_path / "matrix.md"
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vedastro_parity_matrix.write_outputs(matrix, json_path=json_path, markdown_path=md_path)
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loaded = json.loads(json_path.read_text())
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assert loaded["scope"] == "vedastro_parity_matrix"
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assert md_path.read_text().startswith("# VedAstro Parity Matrix")
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