barbet-sft / release_tools /test_parallel_release.py
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Release reviewed Taiwan-centric Barbet SFT 1M with fixed-schema messages and full audits
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"""Small compute-only multi-shard equivalence and global leak regressions."""
from itertools import islice
import json
import os
from pathlib import Path
import time
import unittest
from barbet_bgd.io import iter_jsonl_gz, sha256_file, write_json_atomic, write_jsonl_gz_atomic
from barbet_bgd.export_sft_v3 import export_sft
from barbet_bgd.quality_v2 import validate_record_quality_v2
from barbet_bgd.release_v3 import native_streaming_verify
from barbet_bgd.serializers_v3 import canonical_json_v3
from parallel_release import parallel_export_sft, parallel_native_streaming_verify
ROOT = Path("/groups/voidful/barbet-sft") / ("parallel-bench-" + os.environ.get("SLURM_JOB_ID", "NO_JOB"))
def _minimal(index, split, group=None, record_id=None):
record = {
"record_id": record_id or f"row:{index}", "source_group": group or f"group:{index}",
"split": split, "primitive": "COPY", "task_family": "FAITHFUL_OCR", "locale": "zh-TW",
"task_spec": {"query": "請保留來源文字。", "requested_schema": {}},
"inputs": [{"id": "src", "units": [{"id": "src:u01", "text": "臺灣資料。"}]}],
"target": {"decision": "COPIED", "evidence": ["src:u01"], "output_text": "臺灣資料。"},
"presentation": {"serializer": "JSON"},
}
import hashlib
verdict = {"record_id": record["record_id"], "record_sha256": hashlib.sha256(canonical_json_v3(record).encode()).hexdigest(),
"disposition": "KEEP", "training_ready": True, "hard_failures": [], "pipeline_checks": {"test": True}}
return record, verdict
class ParallelReleaseTests(unittest.TestCase):
@classmethod
def setUpClass(cls):
if not os.environ.get("SLURM_JOB_ID"):
raise RuntimeError("Slurm compute allocation required")
ROOT.mkdir(exist_ok=False)
def test_real_three_split_equivalence_and_native_streaming(self):
import pyarrow.parquet as pq
source = ROOT / "real-source"
original = Path("/groups/voidful/barbet-sft/release_v3")
for dest_index, source_index in enumerate((0, 98, 99)):
canonical = list(islice(iter_jsonl_gz(original / "canonical" / f"part-{source_index:05d}.jsonl.gz"), 20))
quality = list(islice(iter_jsonl_gz(original / "quality/verdicts" / f"part-{source_index:05d}.quality.jsonl.gz"), 20))
write_jsonl_gz_atomic(source / "canonical" / f"part-{dest_index:05d}.jsonl.gz", canonical)
write_jsonl_gz_atomic(source / "quality/verdicts" / f"part-{dest_index:05d}.quality.jsonl.gz", quality)
sizes = {"train": 20, "validation": 20, "test": 20}
start = time.perf_counter()
serial = export_sft(source, ROOT / "serial", expected_records=60, expected_split_counts=sizes,
record_validator=validate_record_quality_v2)
serial_seconds = time.perf_counter() - start
start = time.perf_counter()
parallel = parallel_export_sft(source, ROOT / "parallel", expected_records=60,
expected_split_counts=sizes, record_validator=validate_record_quality_v2,
workers=3, shard_size=20, progress=print)
parallel_seconds = time.perf_counter() - start
for name in ("records", "readback_records", "unique_record_ids", "source_groups", "split_counts", "serializer_counts", "task_family_counts", "schema"):
self.assertEqual(serial[name], parallel[name], name)
self.assertTrue(all(parallel["checks"].values()))
for first, second in zip(serial["shards"], parallel["shards"], strict=True):
for name in ("path", "canonical_sha256", "quality_sha256", "rows_sha256", "records", "split", "first_record_id", "last_record_id"):
self.assertEqual(first[name], second[name], name)
self.assertEqual(pq.read_table(ROOT / "serial" / first["path"]).to_pylist(),
pq.read_table(ROOT / "parallel" / second["path"]).to_pylist())
self.assertEqual(json.loads((ROOT / "serial/reports/taiwan-usage.json").read_text()),
json.loads((ROOT / "parallel/reports/taiwan-usage.json").read_text()))
serial_native = native_streaming_verify(ROOT / "serial", serial)
native = parallel_native_streaming_verify(ROOT / "parallel", parallel, workers=3)
self.assertTrue(native["verified"])
for name in ("records", "split_counts", "shards", "datasets_version"):
self.assertEqual(serial_native[name], native[name], name)
self.assertEqual(len(native["parallel_provenance"]["worker_report_pins"]), 3)
write_json_atomic(ROOT / "equivalence.json", {"verified": True, "records": 60,
"serial_seconds": serial_seconds, "parallel_seconds": parallel_seconds,
"native_verified": native["verified"]})
with self.assertRaises(FileExistsError):
parallel_export_sft(source, ROOT / "parallel", expected_records=60, expected_split_counts=sizes,
workers=3, shard_size=20)
def test_global_duplicate_record_ids_across_workers_fail(self):
source = ROOT / "duplicate-source"
for index in range(2):
record, quality = _minimal(index, "train", record_id="same-id")
write_jsonl_gz_atomic(source / "canonical" / f"part-{index:05d}.jsonl.gz", [record])
write_jsonl_gz_atomic(source / "quality/verdicts" / f"part-{index:05d}.quality.jsonl.gz", [quality])
with self.assertRaisesRegex(ValueError, "duplicate global record_id"):
parallel_export_sft(source, ROOT / "duplicate-output", expected_records=2,
expected_split_counts={"train": 2}, workers=2, shard_size=1)
self.assertFalse((ROOT / "duplicate-output/reports/sft-export-verification.json").exists())
def test_global_source_group_leak_across_workers_fails(self):
source = ROOT / "group-source"
for index, split in enumerate(("train", "test")):
record, quality = _minimal(index, split, group="same-group")
write_jsonl_gz_atomic(source / "canonical" / f"part-{index:05d}.jsonl.gz", [record])
write_jsonl_gz_atomic(source / "quality/verdicts" / f"part-{index:05d}.quality.jsonl.gz", [quality])
with self.assertRaisesRegex(ValueError, "global source_group crosses splits"):
parallel_export_sft(source, ROOT / "group-output", expected_records=2,
expected_split_counts={"train": 1, "test": 1}, workers=2, shard_size=1)
self.assertFalse((ROOT / "group-output/reports/sft-export-verification.json").exists())
if __name__ == "__main__":
unittest.main(verbosity=2)