Files
giant/tests/test_steps_to_parquet_parallel.py
T
lars d5853d5a75 Unify dataset/tooling scripts into a single dwarf Typer CLI
Replace the five separately-hyphenated uv entry points (steps-to-parquet,
steps-to-parquet-parallel, migrate-geant-steps, bump-dataset-version,
create-root-files) plus the unregistered hparam_scan.py with one `dwarf`
command exposing convert/migrate/bump-gen/bump-schema/status/
update-manifest/create-manifest/make-root/hparam-scan as subcommands.

Each scripts/*.py module now only holds argparse-free business logic;
scripts/dwarf.py wires it up with Typer, matching giant/cli.py's style.
`dwarf convert` merges the old serial/parallel conversion scripts behind
a --jobs flag (default 1: sequential with plain -o; >1: dataset-layout
fan-out via subprocess).

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-02 09:52:37 +02:00

173 lines
5.9 KiB
Python

import json
import sys
from pathlib import Path
from scripts import steps_to_parquet_parallel
run_parallel = steps_to_parquet_parallel.run_parallel
resolve_destination = steps_to_parquet_parallel.resolve_destination
latest_schema_tag = steps_to_parquet_parallel.latest_schema_tag
DestinationError = steps_to_parquet_parallel.DestinationError
def _write_fake_executable(tmp_path: Path, marker_dir: Path) -> Path:
"""A stand-in for steps_to_parquet.py: records its own start/end time per
input file (so tests can check overlap), then exits 1 if "fail" is in the
filename, else 0. Accepts (and ignores) the same flags as the real script.
"""
fake = tmp_path / "fake_steps_to_parquet.py"
fake.write_text(
f"""
import json, sys, time
from pathlib import Path
marker_dir = Path({str(marker_dir)!r})
root_file = sys.argv[1]
name = Path(root_file).stem
start = time.time()
time.sleep(0.2)
end = time.time()
(marker_dir / f"{{name}}.json").write_text(json.dumps({{"start": start, "end": end}}))
print(f"converted {{root_file}}")
sys.exit(1 if "fail" in name else 0)
"""
)
return fake
def test_runs_one_job_per_file_and_reports_success(tmp_path):
marker_dir = tmp_path / "markers"
marker_dir.mkdir()
fake = _write_fake_executable(tmp_path, marker_dir)
files = [str(tmp_path / f"shard-{i:03d}.root") for i in range(3)]
results = run_parallel(files, jobs=4, cmd_prefix=[sys.executable, str(fake)])
assert {r[0] for r in results} == set(files)
assert all(code == 0 for _, code, _, _ in results)
assert all((marker_dir / f"{Path(f).stem}.json").exists() for f in files)
def test_failures_are_reported_with_nonzero_exit_code(tmp_path):
marker_dir = tmp_path / "markers"
marker_dir.mkdir()
fake = _write_fake_executable(tmp_path, marker_dir)
files = [str(tmp_path / "shard-000.root"), str(tmp_path / "shard-fail.root")]
results = run_parallel(files, jobs=4, cmd_prefix=[sys.executable, str(fake)])
codes = {Path(f).stem: code for f, code, _, _ in results}
assert codes["shard-000"] == 0
assert codes["shard-fail"] == 1
def test_jobs_caps_concurrency(tmp_path):
marker_dir = tmp_path / "markers"
marker_dir.mkdir()
fake = _write_fake_executable(tmp_path, marker_dir)
files = [str(tmp_path / f"shard-{i:03d}.root") for i in range(6)]
run_parallel(files, jobs=2, cmd_prefix=[sys.executable, str(fake)])
intervals = []
for f in files:
data = json.loads((marker_dir / f"{Path(f).stem}.json").read_text())
intervals.append((data["start"], data["end"]))
# max number of intervals overlapping any given instant must not exceed jobs
events = sorted([(s, 1) for s, _ in intervals] + [(e, -1) for _, e in intervals])
concurrent = 0
peak = 0
for _, delta in events:
concurrent += delta
peak = max(peak, concurrent)
assert peak <= 2
def test_output_for_is_passed_through_as_output_flag(tmp_path):
marker_dir = tmp_path / "markers"
marker_dir.mkdir()
fake = tmp_path / "fake_steps_to_parquet.py"
fake.write_text(
f"""
import sys
from pathlib import Path
marker_dir = Path({str(marker_dir)!r})
root_file = sys.argv[1]
name = Path(root_file).stem
output = sys.argv[sys.argv.index("--output") + 1] if "--output" in sys.argv else ""
(marker_dir / f"{{name}}.txt").write_text(output)
sys.exit(0)
"""
)
root_file = str(tmp_path / "shard-000.root")
dest = tmp_path / "processed" / "shard-000.parquet"
run_parallel(
[root_file],
jobs=1,
cmd_prefix=[sys.executable, str(fake)],
output_for={root_file: dest},
)
assert (marker_dir / "shard-000.txt").read_text() == str(dest)
def _make_dataset(tmp_path: Path, schemas: list[str] | None = None) -> Path:
root_file = tmp_path / "raw" / "steps" / "gen1" / "pbwo4" / "shard-000.root"
root_file.parent.mkdir(parents=True)
root_file.touch()
for schema in schemas or []:
(tmp_path / "processed" / "steps" / "gen1" / schema).mkdir(parents=True)
return root_file
def test_resolve_destination_uses_latest_schema(tmp_path):
root_file = _make_dataset(tmp_path, schemas=["schema1", "schema3", "schema2"])
dest = resolve_destination(root_file, tmp_path, schema_override=None)
assert dest == tmp_path / "processed" / "steps" / "gen1" / "schema3" / "pbwo4" / "shard-000.parquet"
def test_resolve_destination_schema_override_wins(tmp_path):
root_file = _make_dataset(tmp_path, schemas=["schema1", "schema3"])
dest = resolve_destination(root_file, tmp_path, schema_override="schema9")
assert dest == tmp_path / "processed" / "steps" / "gen1" / "schema9" / "pbwo4" / "shard-000.parquet"
def test_resolve_destination_errors_without_any_schema(tmp_path):
root_file = _make_dataset(tmp_path, schemas=[])
try:
resolve_destination(root_file, tmp_path, schema_override=None)
assert False, "expected DestinationError"
except DestinationError:
pass
def test_resolve_destination_errors_outside_dataset_root(tmp_path):
other_root = tmp_path / "other"
other_root.mkdir()
stray_file = other_root / "shard-000.root"
stray_file.touch()
dataset_root = tmp_path / "dataset"
dataset_root.mkdir()
try:
resolve_destination(stray_file, dataset_root, schema_override=None)
assert False, "expected DestinationError"
except DestinationError:
pass
def test_resolve_destination_errors_on_wrong_shape(tmp_path):
# missing the <gen> segment
bad_file = tmp_path / "raw" / "steps" / "pbwo4" / "shard-000.root"
bad_file.parent.mkdir(parents=True)
bad_file.touch()
try:
resolve_destination(bad_file, tmp_path, schema_override=None)
assert False, "expected DestinationError"
except DestinationError:
pass
def test_latest_schema_tag_returns_none_when_missing(tmp_path):
assert latest_schema_tag(tmp_path / "does" / "not" / "exist") is None