"""Run the Blueprint through the Misata Studio engine and keep what the engine says about its own output.""" from __future__ import annotations import json import time from dataclasses import dataclass from pathlib import Path from typing import Any import pandas as pd from . import blueprint as B @dataclass class EngineRun: tables: dict[str, pd.DataFrame] design: dict[str, Any] report: dict[str, Any] clickhouse_ddl: str = "" DELIVERED = ("stores", "products", "customers", "orders", "order_lines", "returns") def engine_clickhouse_ddl(bp: Any, tables: dict[str, pd.DataFrame]) -> str: """The DDL the engine's own ClickHouse export writes for these tables, kept to compare with clickhouse/ddl.sql.""" import tempfile from misata_engine.export import ParquetSource, sql_ddl with tempfile.TemporaryDirectory() as tmp: for name in DELIVERED: (Path(tmp) / name).mkdir() tables[name][[c for c in tables[name].columns if not c.startswith("_")]].to_parquet(Path(tmp) / name / "part-0.parquet") return sql_ddl(bp, ParquetSource(tmp), "clickhouse") def _plain(x: Any) -> Any: """A certificate or finding as JSON: numpy numbers, timestamps and sets made ordinary.""" return json.loads(json.dumps(x, default=lambda o: o.item() if hasattr(o, "item") else str(o))) def engine_commit() -> str: """The Misata Studio commit the engine came from (git, or MISATA_ENGINE_COMMIT for a copy of the tree), whether its files had changes, and a digest of its source files, which names the engine exactly either way.""" import hashlib import os import subprocess import misata_engine here = Path(misata_engine.__file__).resolve().parent digest = hashlib.sha256() for f in sorted(here.rglob("*.py")): digest.update(f.relative_to(here).as_posix().encode() + b"\0" + f.read_bytes()) files = f"source digest {digest.hexdigest()[:16]}" try: sha = subprocess.run(["git", "rev-parse", "HEAD"], cwd=here, capture_output=True, text=True, check=True).stdout.strip() dirty = subprocess.run(["git", "status", "--porcelain", "--", "."], cwd=here, capture_output=True, text=True, check=True).stdout.strip() return f"{sha}{' with uncommitted engine changes' if dirty else ''}, {files}" except (OSError, subprocess.CalledProcessError): return f"{os.environ.get('MISATA_ENGINE_COMMIT', 'commit unknown')}, {files}" def run(seed: int, scale: float = 1.0) -> EngineRun: import misata_engine as me from misata_engine.blueprint.guide import lint, parse from misata_engine.oracle import scorecard design = B.build(scale=scale, seed=seed) bp, problems = parse(design) if bp is None: raise SystemExit("the Blueprint does not parse:\n " + "\n ".join(problems)) started = time.time() res = me.run("", blueprint=bp, seed=seed) seconds = round(time.time() - started, 1) cert = res.certificate or {} if not res.passed or not cert.get("passed", True): said = [f.message for f in res.verdict.findings[:20]] + [w["text"] for w in cert.get("withdrawn_claims") or []] raise SystemExit("the engine did not pass the build:\n " + "\n ".join(said)) tables = dict(res.tables) card = scorecard.score({k: v for k, v in tables.items() if k in ("customers", "products", "orders", "order_lines", "returns")}) report = { "engine": "misata_engine (Misata Studio)", "engine_commit": engine_commit(), "seed": seed, "scale": scale, "seconds": seconds, "passed": bool(res.passed and cert.get("passed", True)), "lint": [str(w) for w in lint(bp)], "planned": list(bp.levers.get("_planned") or []), "notes": [str(n) for n in res.notes], "findings": [{"severity": str(f.severity), "message": f.message} for f in res.verdict.findings], "certificate": _plain(res.certificate), "realism_scorecard": scorecard.render(card), "rows": {k: len(v) for k, v in tables.items()}, } return EngineRun(tables=tables, design=design, report=report, clickhouse_ddl=engine_clickhouse_ddl(bp, tables)) def score_delivered(parquet_dir: Path) -> str: """The engine's realism scorecard read on the delivered files, after every step that follows the engine; decimals are read as numbers.""" import pyarrow as pa import pyarrow.parquet as pq from misata_engine.oracle import scorecard tables = {} for name in ("dim_product", "dim_customer", "dim_store", "orders", "order_lines", "returns"): t = pq.read_table(parquet_dir / f"{name}.parquet") cast = pa.schema([pa.field(f.name, pa.float64()) if pa.types.is_decimal(f.type) else f for f in t.schema]) tables[name] = t.cast(cast).to_pandas() return scorecard.render(scorecard.score(tables)) def save_report(er: EngineRun, out: Path) -> None: out.mkdir(parents=True, exist_ok=True) (out / "blueprint.json").write_text(json.dumps(er.design, indent=1, ensure_ascii=False)) (out / "engine_report.json").write_text(json.dumps(er.report, indent=1, ensure_ascii=False)) (out / "realism_scorecard.txt").write_text(er.report["realism_scorecard"]) (out / "engine_clickhouse_ddl.sql").write_text(er.clickhouse_ddl)