- packages/domain: zod schemas for the 07-scenario object set with a schemaRegistry driving schema export, fixture generation, and Python module naming; decimal-string/sha256/curve primitives enforce the docs/11 §3.3 representation rules at the type layer - contracts/: 12 JSON Schemas (draft 2020-12), 12 golden fixtures, 3 invalid fixtures crafted to fail on both sides (float money, bad digest, missing concurrency version) - skills-py: generated pydantic models (committed, never hand-edited), regeneration script, mirror pytest using JSON-mode validation — dual-side contract tests agree on all 15 fixtures - packages/services: content-addressed immutable snapshot store (memory + fs, rejects floats), LedgerService v1 with optimistic concurrency and the P7 constraint cascade (monthly position bounds day-ahead bids; no-anchor bids rejected), quality-gate stub - cascade band shape is an OPEN-QUESTION A5 placeholder (pro-rata daily share ±band) — see ledger.ts checkCascade All green: tsc typecheck, 41 TS tests, 15 Python tests. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019u5SLNweVio6ozJX7yfxQr 🔮 View transcript: https://logs.lojong.info/s/e8u90k3t33w590r7b5y7yzqh
38 lines
1.4 KiB
Python
38 lines
1.4 KiB
Python
"""Dual-side contract test (docs/11 §3.2): the same golden fixtures the TS side
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validates must validate against the generated pydantic models, and the same
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invalid fixtures must be rejected. Disagreement between sides fails CI."""
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import importlib
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from pathlib import Path
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import pytest
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from pydantic import BaseModel, ValidationError
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ROOT = Path(__file__).resolve().parents[2] / "contracts"
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def model_for(name: str) -> type[BaseModel]:
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module = importlib.import_module(f"vpp_contracts.{name}")
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class_name = "".join(part.capitalize() for part in name.split("_"))
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return getattr(module, class_name)
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def cases(dirname: str) -> list[tuple[str, Path]]:
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out = []
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for schema_dir in sorted((ROOT / dirname).iterdir()):
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for f in sorted(schema_dir.glob("*.json")):
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out.append((schema_dir.name, f))
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return out
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@pytest.mark.parametrize("name,path", cases("fixtures"), ids=lambda p: str(p))
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def test_golden_fixture_validates(name: str, path: Path) -> None:
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# JSON-mode validation — exactly how a skill service receives these objects.
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model_for(name).model_validate_json(path.read_text())
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@pytest.mark.parametrize("name,path", cases("fixtures-invalid"), ids=lambda p: str(p))
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def test_invalid_fixture_rejected(name: str, path: Path) -> None:
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with pytest.raises(ValidationError):
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model_for(name).model_validate_json(path.read_text())
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