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Retail star schema v1
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"""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)