g5-eval-dashboard / tests /test_multiturn_runner.py
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from __future__ import annotations
from pathlib import Path
import yaml
from prompt_injection_framework.orchestration.config import load_config
from prompt_injection_framework.orchestration.runner import run_experiment
from prompt_injection_framework.utils.io import read_jsonl
def test_runner_executes_ordered_turns_and_saves_turn_artifacts(tmp_path: Path) -> None:
dataset_path = tmp_path / "attack_cases.jsonl"
dataset_path.write_text(
(
'{"case_id":"case_mt_1","source_name":"Test","source_type":"unit","attack_family":"adaptive_attack",'
'"attack_subtype":"follow_up","attack_surface":"adaptive","prompt":"ignored","context":"system",'
'"expected_target":"hello","success_criteria":"contains hello",'
'"turns":[{"role":"user","prompt":"first harmless turn"},{"role":"user","prompt":"second turn say hello"}]}\n'
),
encoding="utf-8",
)
config_path = tmp_path / "config.yaml"
config_path.write_text(
yaml.safe_dump(
{
"experiment": {
"name": "multiturn_test",
"description": "mock multi-turn pipeline test",
"seed": 7,
"sample_size": 1,
"output_dir": str(tmp_path / "results"),
},
"dataset": {"path": str(dataset_path)},
"model": {
"provider": "mock",
"name": "mock-model",
"max_tokens": 32,
"temperature": 0.0,
"execution_mode": "plain",
},
"mitigation": {"enabled": False, "strategy": "none"},
}
),
encoding="utf-8",
)
config, raw_config = load_config(config_path)
summary = run_experiment(config, raw_config)
case_results = read_jsonl(Path(summary["result_paths"]["case_results"]))
assert len(case_results) == 1
assert case_results[0]["has_multi_turn_payload"] is True
assert case_results[0]["turn_count"] == 2
assert len(case_results[0]["turn_results"]) == 2
assert case_results[0]["turn_results"][0]["turn_index"] == 1
assert case_results[0]["turn_results"][1]["turn_index"] == 2