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"""Validate the multi-config public data interface (local; CI later).
Checks:
- hardware_re4 parquet columns/dtypes match the expected full schema
- sr_pareto consolidated table has required columns and non-empty coverage
- latent_routing gate: fail if README declares the config without three CSVs
- bundle.json should not be the sole SR interface (warn on absolute paths)
"""
from __future__ import annotations
import argparse
import json
import re
import sys
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
# Full on-disk schema for system_telemetry_v1_batch_*.parquet
HARDWARE_RE4_SCHEMA: dict[str, str] = {
"timestamp_ms": "int64",
"power_usage_mw": "uint32",
"temperature_c": "uint32",
"graphics_clock_mhz": "uint32",
"memory_clock_mhz": "uint32",
"pcie_rx_kbps": "uint32",
"pcie_tx_kbps": "uint32",
"pstate": "uint32",
"throttle_reasons_bitmask": "uint64",
"fan_speed_perc": "uint32",
"memory_used_mb": "uint64",
"memory_total_mb": "uint64",
"encoder_util_perc": "uint32",
"decoder_util_perc": "uint32",
"cpu_tctl_c": "double", # pyarrow float -> double
"cpu_ccd1_c": "double",
"cpu_ccd2_c": "double",
"cpu_package_power_w": "double",
}
SR_REQUIRED = {"model", "condition", "complexity", "loss", "equation"}
LATENT_CSVS = [
ROOT / "first-day-testing-real-weights/second-test/snn_latent_telemetry.csv",
ROOT / "first-day-testing-real-weights/third-test/snn_latent_telemetry.csv",
ROOT / "first-day-testing-real-weights/fourth-test/snn_latent_telemetry.csv",
]
def _normalize_type(t: str) -> str:
t = str(t).lower()
aliases = {
"float": "double",
"float32": "float",
"float64": "double",
"boolean": "bool",
}
return aliases.get(t, t)
def check_hardware_re4(root: Path, errors: list[str], warnings: list[str]) -> None:
try:
import pyarrow.parquet as pq
except ImportError:
errors.append("pyarrow required to validate hardware_re4 parquet")
return
pattern = root / "origin_hardware_baselines/resident_evil_4"
files = sorted(pattern.glob("system_telemetry_v1_batch_*.parquet"))
if len(files) < 1:
errors.append("no system_telemetry_v1_batch_*.parquet files found")
return
if len(files) != 48:
warnings.append(f"expected 48 RE4 parquet batches, found {len(files)}")
table = pq.read_table(files[0])
actual = {f.name: _normalize_type(str(f.type)) for f in table.schema}
expected = {k: _normalize_type(v) for k, v in HARDWARE_RE4_SCHEMA.items()}
missing = sorted(set(expected) - set(actual))
extra = sorted(set(actual) - set(expected))
if missing:
errors.append(f"hardware_re4 missing columns: {missing}")
if extra:
warnings.append(f"hardware_re4 extra columns vs CONTEXT schema: {extra}")
for name, exp_t in expected.items():
if name not in actual:
continue
# allow float/double flexibility for cpu temps
act = actual[name]
if act == exp_t:
continue
if {act, exp_t} <= {"float", "double"}:
continue
if {act, exp_t} <= {"int64", "uint64"} and name == "throttle_reasons_bitmask":
continue
errors.append(f"hardware_re4 dtype mismatch {name}: got {act}, expected {exp_t}")
total_rows = sum(pq.read_table(f).num_rows for f in files)
if total_rows < 1000:
errors.append(f"hardware_re4 too few rows: {total_rows}")
else:
print(f" hardware_re4: {len(files)} files, {total_rows} rows, schema OK")
def check_sr_pareto(root: Path, errors: list[str], warnings: list[str]) -> None:
csv_path = root / "sr_benchmark/sr_pareto_all.csv"
pq_path = root / "sr_benchmark/sr_pareto_all.parquet"
if not csv_path.exists() and not pq_path.exists():
errors.append("sr_pareto_all.csv/.parquet missing — run scripts/build_sr_pareto_all.py")
return
import csv
path = csv_path if csv_path.exists() else pq_path
if path.suffix == ".csv":
with path.open(newline="", encoding="utf-8") as f:
reader = csv.DictReader(f)
fields = set(reader.fieldnames or [])
rows = list(reader)
else:
import pyarrow.parquet as pq
table = pq.read_table(path)
fields = set(table.column_names)
rows = table.to_pylist()
missing = SR_REQUIRED - fields
if missing:
errors.append(f"sr_pareto missing columns: {sorted(missing)}")
return
if not rows:
errors.append("sr_pareto consolidated table is empty")
return
models = {r["model"] for r in rows}
conditions = {r["condition"] for r in rows}
if len(models) < 2:
warnings.append(f"sr_pareto few models: {sorted(models)}")
if not conditions:
errors.append("sr_pareto has no conditions")
print(
f" sr_pareto: {len(rows)} rows, {len(models)} models, "
f"{len(conditions)} conditions"
)
bundle = root / "sr_benchmark/bundle.json"
if bundle.exists():
text = bundle.read_text(encoding="utf-8")
abs_hits = re.findall(r'"/home/[^"]+"', text)
if abs_hits:
warnings.append(
f"bundle.json still has {len(abs_hits)} absolute path strings "
"(consolidated table is the Hub interface; fix paths when convenient)"
)
def check_latent_gate(root: Path, errors: list[str], warnings: list[str]) -> None:
readme = (root / "README.md").read_text(encoding="utf-8")
has_latent_config = bool(
re.search(r"config_name:\s*latent_routing", readme)
or re.search(r'["\']latent_routing["\']', readme.split("---", 2)[1] if readme.startswith("---") else "")
)
present = [p for p in LATENT_CSVS if p.exists()]
missing = [p for p in LATENT_CSVS if not p.exists()]
if has_latent_config and missing:
errors.append(
"latent_routing config declared in README but feature CSVs missing: "
+ ", ".join(str(p.relative_to(root)) for p in missing)
)
elif missing:
warnings.append(
"latent_routing gated (expected): missing "
+ ", ".join(str(p.relative_to(root)) for p in missing)
)
else:
print(" latent_routing gate: all three feature CSVs present")
if present and not has_latent_config and not missing:
warnings.append(
"all latent CSVs present but latent_routing config not in README yet"
)
def check_readme_configs(root: Path, errors: list[str], warnings: list[str]) -> None:
readme = (root / "README.md").read_text(encoding="utf-8")
if not readme.startswith("---"):
errors.append("README.md missing YAML frontmatter")
return
parts = readme.split("---", 2)
if len(parts) < 3:
errors.append("README.md YAML frontmatter malformed")
return
yaml = parts[1]
if re.search(r"config_name:\s*default\b", yaml):
errors.append("README still has config_name: default (must force explicit configs)")
for name in ("hardware_re4", "sr_pareto"):
if f"config_name: {name}" not in yaml and f'config_name: "{name}"' not in yaml:
errors.append(f"README YAML missing config_name: {name}")
if "sr_pareto_all" not in yaml:
warnings.append("README YAML may not point data_files at sr_pareto_all.*")
# duplicate Usage sections
if readme.count("\n## Usage\n") > 1:
errors.append("README has duplicate ## Usage sections")
print(" README configs: checked")
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--root", type=Path, default=ROOT)
args = parser.parse_args()
root: Path = args.root
errors: list[str] = []
warnings: list[str] = []
print("validate_dataset")
check_readme_configs(root, errors, warnings)
check_hardware_re4(root, errors, warnings)
check_sr_pareto(root, errors, warnings)
check_latent_gate(root, errors, warnings)
for w in warnings:
print(f"WARN: {w}")
for e in errors:
print(f"ERROR: {e}")
if errors:
print(f"FAILED ({len(errors)} error(s), {len(warnings)} warning(s))")
return 1
print(f"OK ({len(warnings)} warning(s))")
return 0
if __name__ == "__main__":
raise SystemExit(main())
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