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chore: import upstream snapshot with attribution
2026-07-13 13:24:08 +08:00

87 lines
2.6 KiB
Python

"""Generate Promptfoo test cases from Inspect's OSWorld dataset."""
from __future__ import annotations
from pathlib import Path
CONTAINER_EXAMPLE_PATH = "/tmp/osworld/desktop_env/example.json"
def generate_tests():
"""Return one Promptfoo test case per Inspect-supported small-suite sample."""
dataset = _osworld_small_dataset()
return [_test_case(dataset[index]) for index in range(len(dataset))]
def generate_full_tests():
"""Return one Promptfoo test case per Inspect-supported full-suite sample."""
dataset = _osworld_full_dataset()
return [_test_case(dataset[index]) for index in range(len(dataset))]
def _osworld_small_dataset():
try:
from inspect_evals.osworld import osworld_small
except ImportError as exc:
raise RuntimeError(
"Could not import inspect_evals.osworld. Install prerequisites with "
"`pip install 'inspect-evals[osworld]'` before loading OSWorld tests."
) from exc
return osworld_small().dataset
def _osworld_full_dataset():
try:
from inspect_evals.osworld import osworld
except ImportError as exc:
raise RuntimeError(
"Could not import inspect_evals.osworld. Install prerequisites with "
"`pip install 'inspect-evals[osworld]'` before loading OSWorld tests."
) from exc
return osworld(include_connected=True).dataset
def _test_case(sample):
sample_id = str(sample.id)
instruction = str(sample.input)
app = _normalize_app(_example_path(sample).parent.name)
return {
"description": f"{app} - {_short_label(instruction)}",
"vars": {
"prompt": instruction,
"app": app,
"sample_id": sample_id,
},
"metadata": {
"app": app,
"sample_id": sample_id,
"testCaseId": f"osworld-{app.replace('_', '-')}-{sample_id.split('-', 1)[0]}",
},
}
def _example_path(sample):
try:
return Path(str(sample.files[CONTAINER_EXAMPLE_PATH]))
except (AttributeError, KeyError, TypeError) as exc:
raise RuntimeError(
f"Inspect OSWorld sample {getattr(sample, 'id', '<unknown>')} did not "
f"include {CONTAINER_EXAMPLE_PATH} in sample.files."
) from exc
def _short_label(instruction, max_length=80):
label = " ".join(str(instruction).split())
if len(label) <= max_length:
return label
return f"{label[: max_length - 3].rstrip()}..."
def _normalize_app(app):
normalized = str(app).strip().lower().replace("-", "_").replace(" ", "_")
return "vscode" if normalized == "vs_code" else normalized