File size: 1,587 Bytes
e918a5c | 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 | # Copyright (c) Meta Platforms, Inc. and affiliates.
import json
from pathway_analysis_env.server.case_loader import (
CASE_SECRET_KEYS,
load_case_file,
strip_case_secrets,
)
from pathway_analysis_env.server.pathway_environment import DATA_DIR, PathwayEnvironment
from pathway_analysis_env.models import PathwayAction
def test_strip_case_secrets():
raw = {
"case_id": "x",
"true_pathway": "MAPK signaling",
"expected_keywords": ["mapk"],
"counts": {"G1": [1, 2]},
}
pub = strip_case_secrets(raw)
for k in CASE_SECRET_KEYS:
assert k not in pub
assert "counts" in pub
def test_reset_agent_safe_case_has_no_secrets_in_memory():
env = PathwayEnvironment(case_file="toy_case_001.json")
env.reset(eval_mode=True, orchestrator_mode=False)
dumped = json.dumps(env._case)
assert "true_pathway" not in dumped
def test_episode_observation_no_correct_without_orchestrator():
env = PathwayEnvironment(case_file="toy_case_legacy.json")
env.reset()
env.step(PathwayAction(action_type="run_differential_expression"))
env.step(PathwayAction(action_type="run_pathway_enrichment"))
fin = env.step(
PathwayAction(action_type="submit_answer", hypothesis="MAPK signaling")
)
assert fin.metadata.get("correct") is None
assert env.episode_outcome.get("correct") is True
def test_load_case_file_roundtrip():
case, secrets = load_case_file(DATA_DIR, "toy_case_001.json", agent_safe=False)
assert secrets["true_pathway"] == "MAPK signaling"
assert case["case_id"]
|