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import hashlib
import json
import os
from fractions import Fraction
from pathlib import Path
from types import SimpleNamespace
import pytest
from bundle import infer
from bundle import verify_model
from bundle.verify_model import (
EXPECTED_FILE_COUNT,
EXPECTED_MANIFEST_SHA256,
EXPECTED_TOTAL_BYTES,
)
ROOT = Path(__file__).resolve().parent
def test_shipped_model_manifest_identity() -> None:
manifest = ROOT / "model.manifest.tsv"
assert hashlib.sha256(manifest.read_bytes()).hexdigest() == EXPECTED_MANIFEST_SHA256
rows = [line.split("\t") for line in manifest.read_text().splitlines()]
assert len(rows) == EXPECTED_FILE_COUNT
assert [row[0] for row in rows] == sorted(row[0] for row in rows)
assert sum(int(row[1]) for row in rows) == EXPECTED_TOTAL_BYTES
@pytest.mark.parametrize(
("value", "expected"),
[
(Fraction(0), 0),
(Fraction(1, 2), 500),
(Fraction(1, 2000), 1),
(Fraction(1, 3000), 0),
],
)
def test_fraction_milliseconds_rounds_half_up(value: Fraction, expected: int) -> None:
assert infer._fraction_milliseconds(value) == expected
def test_preprocess_parser_requires_persistent_work_dir() -> None:
parser = infer.build_parser()
with pytest.raises(SystemExit):
parser.parse_args(
[
"preprocess",
"--video",
"video.mp4",
"--question",
"When?",
"--output",
"out.json",
]
)
def test_llm_input_preserves_video_metadata_tuple() -> None:
video = ("pixels", {"fps": 1000.0, "frames_indices": [100, 300]})
value = infer._llm_input(
{
"input_ids": [1, 2],
"videos": [video],
"mm_processor_kwargs": {"do_sample_frames": False},
}
)
assert value == {
"prompt_token_ids": [1, 2],
"multi_modal_data": {"video": [video]},
"mm_processor_kwargs": {"do_sample_frames": False},
}
def test_generate_uses_frozen_engine_and_sampling(
monkeypatch: pytest.MonkeyPatch,
) -> None:
observed: dict[str, object] = {}
class FakeCompletion:
text = "answer"
token_ids = [7]
finish_reason = "stop"
class FakeRequest:
request_id = "0"
prompt_token_ids = [1, 2, 3]
outputs = [FakeCompletion()]
class FakeLLM:
def __init__(self, **kwargs):
observed["llm"] = kwargs
def generate(self, inputs, sampling, *, use_tqdm):
observed["inputs"] = inputs
observed["sampling"] = sampling.kwargs
observed["use_tqdm"] = use_tqdm
return [FakeRequest()]
class FakeSamplingParams:
def __init__(self, **kwargs):
self.kwargs = kwargs
fake_vllm = SimpleNamespace(LLM=FakeLLM, SamplingParams=FakeSamplingParams)
real_import = infer.importlib.import_module
def fake_import(name: str):
if name == "vllm":
return fake_vllm
return real_import(name)
monkeypatch.setattr(infer.importlib, "import_module", fake_import)
encoded = {
"input_ids": [11, 12],
"videos": ["video"],
"mm_processor_kwargs": {},
}
report = infer._generate(
encoded,
Path("/model"),
)
assert report["answer"] == "answer"
assert observed["llm"] == {
"model": "/model",
"dtype": "bfloat16",
"max_model_len": 32768,
"max_num_seqs": 1,
"limit_mm_per_prompt": {"image": 0, "video": 1},
"enforce_eager": True,
"gpu_memory_utilization": 0.9,
"seed": 43,
"gdn_prefill_backend": "triton",
}
assert observed["sampling"] == {
"max_tokens": 128,
"temperature": 0.0,
"seed": 43,
}
assert observed["use_tqdm"] is False
assert json.loads(json.dumps(report))["finish_reason"] == "stop"
def test_infer_parser_rejects_science_overrides() -> None:
parser = infer.build_parser()
with pytest.raises(SystemExit):
parser.parse_args(
[
"infer",
"--video",
"video.mp4",
"--question",
"When?",
"--output",
"out.json",
"--model",
"model",
"--model-manifest",
"model.manifest.tsv",
"--seed",
"99",
]
)
def test_atomic_json_is_no_clobber(tmp_path: Path) -> None:
output = tmp_path / "nested" / "result.json"
infer._atomic_json(output, {"status": "first"})
assert json.loads(output.read_text()) == {"status": "first"}
assert os.stat(output).st_nlink == 1
with pytest.raises(FileExistsError):
infer._atomic_json(output, {"status": "second"})
assert json.loads(output.read_text()) == {"status": "first"}
def test_model_verifier_accepts_only_exact_inventory(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
model = tmp_path / "model"
model.mkdir()
(model / "a.bin").write_bytes(b"alpha")
manifest = tmp_path / "model.manifest.tsv"
manifest.write_text(
f"a.bin\t5\t{hashlib.sha256(b'alpha').hexdigest()}\n",
encoding="utf-8",
)
monkeypatch.setattr(
verify_model,
"EXPECTED_MANIFEST_SHA256",
hashlib.sha256(manifest.read_bytes()).hexdigest(),
)
monkeypatch.setattr(verify_model, "EXPECTED_FILE_COUNT", 1)
monkeypatch.setattr(verify_model, "EXPECTED_TOTAL_BYTES", 5)
report = verify_model.verify_model(model, manifest)
assert report["status"] == "PASS"
assert report["file_count"] == 1
(model / "extra.bin").write_bytes(b"extra")
with pytest.raises(RuntimeError, match="regular-file set"):
verify_model.verify_model(model, manifest)
def test_model_verifier_rejects_top_level_symlink(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
model = tmp_path / "model"
model.mkdir()
(model / "a.bin").write_bytes(b"alpha")
alias = tmp_path / "alias"
alias.symlink_to(model, target_is_directory=True)
manifest = tmp_path / "model.manifest.tsv"
manifest.write_text(
f"a.bin\t5\t{hashlib.sha256(b'alpha').hexdigest()}\n",
encoding="utf-8",
)
monkeypatch.setattr(
verify_model,
"EXPECTED_MANIFEST_SHA256",
hashlib.sha256(manifest.read_bytes()).hexdigest(),
)
monkeypatch.setattr(verify_model, "EXPECTED_FILE_COUNT", 1)
monkeypatch.setattr(verify_model, "EXPECTED_TOTAL_BYTES", 5)
with pytest.raises(RuntimeError, match="must not be a symlink"):
verify_model.verify_model(alias, manifest)
def test_docker_and_readme_ship_the_full_runtime_contract() -> None:
dockerfile = (ROOT / "Dockerfile").read_text()
readme = (ROOT / "README.md").read_text()
normalized_readme = " ".join(readme.lower().split())
lock = (ROOT / "requirements.lock.txt").read_text()
assert "cuda12-4@sha256:d29902d885459b" in dockerfile
assert "--requirement /opt/procedure/requirements.lock.txt" in dockerfile
assert "--force-reinstall --no-deps opencv-python-headless==5.0.0.93" in dockerfile
assert "python -m bundle.verify_runtime" in dockerfile
assert "torch==2.11.0+cu130" in lock
for required_text in (
"PyAV",
"Decord",
"OpenCV",
"256",
"stride 5",
"fps=1000",
"old/uniform temporal",
"not checkpoint430",
):
assert required_text.lower() in normalized_readme
|