#!/usr/bin/env python3 """Lightweight validator for benchmark-research dataset structure.""" from __future__ import annotations import json import sys from pathlib import Path REQUIRED_FIELDS = { "task_id", "category", "variant", "time_band", "status", "seed", "prompt", "expected_output", "ground_truth", "metadata", } REQUIRED_PATHS = [ "README.md", "manifest.json", "docs/schema.md", "docs/task_cards.md", "prompts/a1_valuation.txt", "prompts/a2_ranking_f.txt", "prompts/a2_ranking_t.txt", "prompts/a2_ranking_h.txt", "prompts/b_event.txt", "prompts/c_financial_metric.txt", "prompts/d_counterfactual.txt", "prompts/e_formula.txt", ] READY_FILES = [ "seeds/a1_valuation.jsonl", "seeds/a2_fundamentals.jsonl", "seeds/a2_technical.jsonl", "seeds/a2_hybrid.jsonl", "seeds/b_event.jsonl", "seeds/c_financial_metric.jsonl", "seeds/d_counterfactual.jsonl", "seeds/e_formula.jsonl", ] TEMPLATE_GLOB = "seeds/templates/*.jsonl" def load_jsonl(path: Path) -> list[dict]: """Load JSONL rows from a file.""" rows = [] with path.open(encoding="utf-8") as f: for i, line in enumerate(f, 1): if not line.strip(): continue try: rows.append(json.loads(line)) except json.JSONDecodeError as exc: raise ValueError(f"{path}:{i} invalid JSON: {exc}") from exc return rows def validate() -> list[str]: """Validate repository structure and seed records.""" errors: list[str] = [] root = Path(__file__).resolve().parents[1] task_ids: list[str] = [] for rel in REQUIRED_PATHS: if not (root / rel).exists(): errors.append(f"Missing required file: {rel}") for rel in READY_FILES: if not (root / rel).exists(): errors.append(f"Missing ready seed file: {rel}") for path in sorted(root.glob("seeds/**/*.jsonl")): rel = path.relative_to(root).as_posix() for i, row in enumerate(load_jsonl(path), 1): prefix = f"{rel}:{i}" missing = REQUIRED_FIELDS - row.keys() if missing: errors.append(f"{prefix} missing fields: {sorted(missing)}") metadata = row.get("metadata", {}) if "is_template" not in metadata: errors.append(f"{prefix} metadata.is_template missing") task_ids.append(row["task_id"]) if row["category"] == "D": series = row["seed"].get("historical_price_series", []) if len(series) != 30: errors.append(f"{prefix} D historical_price_series must have 30 values, got {len(series)}") gt = row.get("ground_truth") or {} expected = row["seed"].get("expected_logic_direction") if gt.get("logic_direction") != expected: errors.append(f"{prefix} D logic_direction mismatch with expected_logic_direction") if row["category"] == "A2": n = len(row["seed"].get("stock_list", [])) if n < 6: errors.append(f"{prefix} A2 stock_list N={n} < 6") if len(task_ids) != len(set(task_ids)): dup = {x for x in task_ids if task_ids.count(x) > 1} errors.append(f"Duplicate task_id values: {sorted(dup)}") for rel in READY_FILES: path = root / rel content = path.read_text(encoding="utf-8") if "PLACEHOLDER" in content: errors.append(f"{rel} contains PLACEHOLDER (not allowed in ready seeds)") for i, row in enumerate(load_jsonl(path), 1): prefix = f"{rel}:{i}" if row["status"] != "ready": errors.append(f"{prefix} status must be ready") if row["metadata"].get("is_template") is not False: errors.append(f"{prefix} metadata.is_template must be false") if row["ground_truth"] is None: errors.append(f"{prefix} ground_truth must not be null") if row["category"] == "E" and row["ground_truth"].get("correct_answer") is None: errors.append(f"{prefix} E ground_truth.correct_answer must be float") for path in sorted(root.glob(TEMPLATE_GLOB)): rel = path.relative_to(root).as_posix() for i, row in enumerate(load_jsonl(path), 1): prefix = f"{rel}:{i}" if row["status"] != "template": errors.append(f"{prefix} status must be template") if row["metadata"].get("is_template") is not True: errors.append(f"{prefix} metadata.is_template must be true") return errors def main() -> int: """Run validation and print a summary.""" errors = validate() if errors: print("VALIDATION FAILED") for err in errors: print(f" - {err}") return 1 root = Path(__file__).resolve().parents[1] template_count = sum(len(load_jsonl(p)) for p in root.glob(TEMPLATE_GLOB)) ready_counts: dict[str, int] = {} for rel in READY_FILES: ready_counts[rel] = len(load_jsonl(root / rel)) print("VALIDATION PASSED") print(f" templates: {template_count}") for rel, count in ready_counts.items(): print(f" {rel}: {count}") print(f" total ready: {sum(ready_counts.values())}") return 0 if __name__ == "__main__": sys.exit(main())