benchmark-research / scripts /validate.py
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#!/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())