File size: 1,730 Bytes
ebeed67 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | from __future__ import annotations
import json
import pytest
from camstack_train.errors import EXIT_BAD_SPEC, TrainerError
from camstack_train.spec import load_job, parse_job
def test_valid_job_parses(job_dict):
job = parse_job(job_dict)
assert job.job_key == job_dict["jobKey"]
assert job.int8_gate.max_map50_drop == 0.02
assert job.baseline.onnx_url.startswith("https://")
def test_unknown_schema_exits_64(job_dict):
job_dict["schema"] = "camstack.training/v2"
with pytest.raises(TrainerError) as err:
parse_job(job_dict)
assert err.value.exit_code == EXIT_BAD_SPEC
assert err.value.code == "unknown-schema"
@pytest.mark.parametrize(
"mutate",
[
lambda j: j.pop("hyper"), # every field is required: no defaults
lambda j: j.update(extra=1), # unknown keys refused
lambda j: j["catalog"].update(id="../escape"), # file-name safe id
lambda j: j.update(exports=["openvino-fp16"]), # onnx is required
lambda j: j["baseline"]["floors"].pop("animal"),
lambda j: j["dataset"].update(sha256="nothex"),
],
)
def test_refusals_are_bad_spec(job_dict, mutate):
mutate(job_dict)
with pytest.raises(TrainerError) as err:
parse_job(job_dict)
assert err.value.exit_code == EXIT_BAD_SPEC
def test_load_job_reports_unreadable_json(tmp_path):
path = tmp_path / "job.json"
path.write_text("{nope")
with pytest.raises(TrainerError) as err:
load_job(path)
assert err.value.exit_code == EXIT_BAD_SPEC
def test_load_job_roundtrip(tmp_path, job_dict):
path = tmp_path / "job.json"
path.write_text(json.dumps(job_dict))
assert load_job(path).catalog.id == job_dict["catalog"]["id"]
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