File size: 17,945 Bytes
49ad2ef | 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 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 | """Small fabricated inputs only; no model or official-corpus replay in tests."""
import csv
import hashlib
import importlib.util
import json
import unittest
from collections import Counter
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import patch
def _load_replay():
path = Path(__file__).parents[1] / "tools/replay_mind2web_evaluation.py"
spec = importlib.util.spec_from_file_location("vons_mind2web_replay", path)
if spec is None or spec.loader is None:
raise RuntimeError("could not load replay tool")
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
return module
replay = _load_replay()
def _write(path, value):
path.write_text(json.dumps(value), encoding="utf-8")
def _write_rows(path, rows):
path.write_text("".join(json.dumps(row) + "\n" for row in rows), encoding="utf-8")
def _read_rows(path):
return [json.loads(line) for line in path.read_text().splitlines()]
def _fixture(root, cells=(("test_task", 5),)):
rows_path = root / "rows.jsonl"
index_path = root / "run-index.json"
predictions_dir = root / "predictions"
predictions_dir.mkdir()
gold = []
for split in dict.fromkeys(split for split, _ in cells):
for suffix in ("accepted", "abstained", "errored", "missing"):
gold.append(
{
"id": f"{split}-{suffix}",
"task_id": f"{split}-task-{suffix}",
"action_id": suffix,
"split": split,
"candidate_ids": ["x", "y"],
"positive_ids": ["x"],
}
)
_write_rows(rows_path, gold)
runner_hash = replay._hash(replay._source_paths()["tools/predict_mind2web.py"])
index = {"source_sha256": "e" * 64, "runner_sha256": runner_hash, "runs": []}
for split, k in cells:
config = {
"split": split,
"k": k,
"provenance": {"backend": "fixture"},
"adapted": False,
"question": "Fixture question",
}
config_hash = replay._object_hash(config)
predictions = []
for suffix, status, reason in (
("accepted", "ok", None),
("abstained", "abstain", "confidence_below_threshold"),
("errored", "error", "input_overflow"),
):
predictions.append(
{
"id": f"{split}-{suffix}",
"task_id": f"{split}-task-{suffix}",
"split": split,
"k": k,
"generated_candidates": ["x", "y"],
"selection": "x" if status == "ok" else None,
"status": status,
"reason": reason,
"config_sha256": config_hash,
"request_sha256": "a" * 64,
"retrieval_input_sha256": "b" * 64,
}
)
prediction_path = predictions_dir / f"{split}-k{k}.jsonl"
_write_rows(prediction_path, predictions)
counts = dict(Counter(row["status"] for row in predictions))
digest = replay._hash(prediction_path)
manifest = {
"schema": "vons.mind2web-prediction/v1",
"config": config,
"config_sha256": config_hash,
"source_sha256": index["source_sha256"],
"runner_sha256": runner_hash,
"predictions_sha256": digest,
"rows": len(predictions),
"counts": counts,
"selection_reused_across_k": False,
}
_write(prediction_path.with_suffix(".manifest.json"), manifest)
index["runs"].append(
{
"split": split,
"k": k,
"rows": len(predictions),
"counts": counts,
"predictions_sha256": digest,
}
)
_write(index_path, index)
return rows_path, index_path, predictions_dir, root / "output"
def _refresh_prediction_hashes(index_path, prediction_path):
digest = replay._hash(prediction_path)
manifest_path = prediction_path.with_suffix(".manifest.json")
manifest = json.loads(manifest_path.read_text())
manifest["predictions_sha256"] = digest
_write(manifest_path, manifest)
index = json.loads(index_path.read_text())
for run in index["runs"]:
if prediction_path.name == f"{run['split']}-k{run['k']}.jsonl":
run["predictions_sha256"] = digest
_write(index_path, index)
class Mind2WebReplayTests(unittest.TestCase):
def test_observed_outcomes_missing_denominator_and_real_bootstrap(self):
with TemporaryDirectory() as directory:
paths = _fixture(Path(directory))
summary = replay.replay(*paths, allow_subset=True)
run = summary["runs"][0]
self.assertEqual(run["counts"], {"ok": 1, "abstain": 1, "error": 1})
self.assertEqual(
run["execution_outcomes"], {"accepted": 1, "error": 1, "abstain": 1, "missing": 1}
)
self.assertEqual(run["acceptance_coverage"], 0.25)
self.assertEqual(run["prediction_coverage"], 0.75)
self.assertEqual(run["coverage_denominator_rows"], 4)
self.assertEqual(run["missing_prediction_record_count"], 1)
self.assertEqual(
run["execution_failure_counts"],
{"confidence_below_threshold": 1, "input_overflow": 1},
)
self.assertIn({"reason": None, "count": 1}, run["execution_reason_counts"])
self.assertEqual(run["metrics"]["correct_selections"], 1)
self.assertEqual(run["metrics"]["missing_predictions"], 2)
self.assertEqual(run["bootstrap"]["draws"], 1000)
self.assertEqual(run["bootstrap"]["seed"], 7)
self.assertFalse(summary["matrix"]["complete"])
output = paths[-1]
report_path = output / "test_task-k5-metrics.json"
self.assertEqual(run["sha256"], hashlib.sha256(report_path.read_bytes()).hexdigest())
report = json.loads(report_path.read_text())
self.assertEqual(report["input_sha256"]["rows"], replay._hash(paths[0]))
self.assertEqual(report["source_sha256"], summary["source_sha256"])
self.assertEqual(summary["input_sha256"]["run_index"], replay._hash(paths[1]))
table_path = output / "summary.csv"
with table_path.open(newline="") as handle:
table_row = next(csv.DictReader(handle))
self.assertEqual(table_row["coverage"], "0.25")
self.assertEqual(table_row["missing_count"], "1")
self.assertEqual(table_row["error_count"], "1")
self.assertEqual(summary["table"]["sha256"], replay._hash(table_path))
def test_undefined_metric_cells_remain_blank_in_csv_and_null_in_json(self):
with TemporaryDirectory() as directory:
paths = _fixture(Path(directory))
rows = _read_rows(paths[0])
for row in rows:
row["positive_ids"] = []
row["no_positive"] = True
_write_rows(paths[0], rows)
summary = replay.replay(*paths, allow_subset=True)
self.assertIsNone(summary["runs"][0]["metrics"]["candidate_recall_step_micro"])
with (paths[-1] / "summary.csv").open(newline="") as handle:
row = next(csv.DictReader(handle))
for field in (
"recall_micro",
"recall_task_macro",
"taskmacroCIlo",
"taskmacroCIhi",
"conditional_accuracy_micro",
"conditional_accuracy_task_macro",
):
self.assertEqual(row[field], "")
self.assertEqual(row["positive_rows"], "0")
def test_default_requires_complete_matrix_and_tiny_twelve_cells_succeed(self):
with TemporaryDirectory() as directory:
paths = _fixture(Path(directory))
with self.assertRaisesRegex(ValueError, "all 12"):
replay.replay(*paths)
self.assertFalse(paths[-1].exists())
with TemporaryDirectory() as directory:
paths = _fixture(Path(directory), replay.CELLS)
summary = replay.replay(*paths)
self.assertTrue(summary["matrix"]["complete"])
self.assertEqual(len(summary["runs"]), 12)
self.assertEqual(len(list(paths[-1].glob("*-metrics.json"))), 12)
def test_duplicate_unknown_and_bool_cells_fail_closed(self):
for mutation in ("duplicate", "unknown_split", "unknown_k", "bool_k"):
with self.subTest(mutation=mutation), TemporaryDirectory() as directory:
paths = _fixture(Path(directory))
index = json.loads(paths[1].read_text())
if mutation == "duplicate":
index["runs"].append(index["runs"][0])
elif mutation == "unknown_split":
index["runs"][0]["split"] = "train"
else:
index["runs"][0]["k"] = True if mutation == "bool_k" else 8
_write(paths[1], index)
with self.assertRaises(ValueError):
replay.replay(*paths, allow_subset=True)
self.assertFalse(paths[-1].exists())
def test_tampered_predictions_fail_index_hash_check(self):
with TemporaryDirectory() as directory:
paths = _fixture(Path(directory))
prediction_path = paths[2] / "test_task-k5.jsonl"
with prediction_path.open("a") as handle:
handle.write("\n")
with self.assertRaisesRegex(ValueError, "prediction file hash"):
replay.replay(*paths, allow_subset=True)
def test_row_count_and_raw_status_claims_are_checked(self):
for field in ("rows", "counts"):
with self.subTest(field=field), TemporaryDirectory() as directory:
paths = _fixture(Path(directory))
index = json.loads(paths[1].read_text())
index["runs"][0][field] = 4 if field == "rows" else {"ok": 3}
_write(paths[1], index)
with self.assertRaisesRegex(ValueError, "row count|raw status counts"):
replay.replay(*paths, allow_subset=True)
def test_manifest_config_and_source_identity_hashes_are_checked(self):
for field in ("config_split", "config_hash", "source_hash", "runner_hash", "reuse"):
with self.subTest(field=field), TemporaryDirectory() as directory:
paths = _fixture(Path(directory))
manifest_path = paths[2] / "test_task-k5.manifest.json"
manifest = json.loads(manifest_path.read_text())
if field == "config_split":
manifest["config"]["split"] = "test_domain"
elif field == "config_hash":
manifest["config_sha256"] = "0" * 64
elif field == "source_hash":
manifest["source_sha256"] = "0" * 64
elif field == "runner_hash":
manifest["runner_sha256"] = "0" * 64
else:
manifest["selection_reused_across_k"] = True
_write(manifest_path, manifest)
with self.assertRaises(ValueError):
replay.replay(*paths, allow_subset=True)
def test_prediction_row_identity_config_and_status_consistency(self):
mutations = {
"split": "test_domain",
"k": 10,
"task_id": "another-task",
"config_sha256": "0" * 64,
"request_sha256": "bad",
"status": "error",
"selection": "outside",
"generated_candidates": ["outside"],
}
for key, value in mutations.items():
with self.subTest(key=key), TemporaryDirectory() as directory:
paths = _fixture(Path(directory))
prediction_path = paths[2] / "test_task-k5.jsonl"
rows = _read_rows(prediction_path)
rows[0][key] = value
_write_rows(prediction_path, rows)
_refresh_prediction_hashes(paths[1], prediction_path)
with self.assertRaises(ValueError):
replay.replay(*paths, allow_subset=True)
def test_unknown_or_duplicate_prediction_ids_fail_closed(self):
for duplicate in (False, True):
with self.subTest(duplicate=duplicate), TemporaryDirectory() as directory:
paths = _fixture(Path(directory))
prediction_path = paths[2] / "test_task-k5.jsonl"
rows = _read_rows(prediction_path)
rows[1]["id"] = rows[0]["id"] if duplicate else "unknown"
_write_rows(prediction_path, rows)
_refresh_prediction_hashes(paths[1], prediction_path)
with self.assertRaisesRegex(ValueError, "unknown or duplicated"):
replay.replay(*paths, allow_subset=True)
def test_missing_reason_is_counted_without_inventing_a_failure_reason(self):
with TemporaryDirectory() as directory:
paths = _fixture(Path(directory))
prediction_path = paths[2] / "test_task-k5.jsonl"
rows = _read_rows(prediction_path)
del rows[-1]["reason"]
_write_rows(prediction_path, rows)
_refresh_prediction_hashes(paths[1], prediction_path)
run = replay.replay(*paths, allow_subset=True)["runs"][0]
self.assertEqual(run["missing_reason_fields"], 1)
self.assertNotIn("input_overflow", run["execution_failure_counts"])
self.assertIn({"reason": None, "count": 2}, run["execution_reason_counts"])
def test_replay_refuses_existing_evidence(self):
with TemporaryDirectory() as directory:
paths = _fixture(Path(directory))
paths[-1].mkdir()
sentinel = paths[-1] / "keep.txt"
sentinel.write_text("original")
with self.assertRaisesRegex(ValueError, "overwrite"):
replay.replay(*paths, allow_subset=True)
self.assertEqual(sentinel.read_text(), "original")
def test_input_mutation_during_evaluation_discards_all_staged_reports(self):
for which in ("gold", "prediction", "manifest", "index"):
with self.subTest(which=which), TemporaryDirectory() as directory:
paths = _fixture(Path(directory))
evaluator = replay._load_evaluator(
replay._source_paths()["tools/evaluate_mind2web.py"]
)
evaluate = evaluator.evaluate_files
targets = {
"gold": paths[0],
"index": paths[1],
"prediction": paths[2] / "test_task-k5.jsonl",
"manifest": paths[2] / "test_task-k5.manifest.json",
}
def mutate(*args, evaluate=evaluate, target=targets[which], **kwargs):
report = evaluate(*args, **kwargs)
with target.open("a") as handle:
handle.write("\n")
return report
evaluator.evaluate_files = mutate
with (
patch.object(replay, "_load_evaluator", return_value=evaluator),
self.assertRaisesRegex(ValueError, "source mutation"),
):
replay.replay(*paths, allow_subset=True)
self.assertFalse(paths[-1].exists())
def test_code_mutation_during_replay_is_rejected(self):
with TemporaryDirectory() as directory:
root = Path(directory)
paths = _fixture(root)
sources = replay._source_paths()
stand_in = root / "source-snapshot.py"
stand_in.write_text("# Initial source snapshot\n")
sources["tools/replay_mind2web_evaluation.py"] = stand_in
evaluator = replay._load_evaluator(sources["tools/evaluate_mind2web.py"])
evaluate = evaluator.evaluate_files
def mutate(*args, **kwargs):
report = evaluate(*args, **kwargs)
stand_in.write_text("# Changed during replay\n")
return report
evaluator.evaluate_files = mutate
with (
patch.object(replay, "_source_paths", return_value=sources),
patch.object(replay, "_load_evaluator", return_value=evaluator),
self.assertRaisesRegex(ValueError, "source mutation"),
):
replay.replay(*paths, allow_subset=True)
self.assertFalse(paths[-1].exists())
def test_incompatible_cell_configurations_are_rejected(self):
with TemporaryDirectory() as directory:
paths = _fixture(Path(directory), (("test_task", 5), ("test_task", 10)))
prediction_path = paths[2] / "test_task-k10.jsonl"
manifest_path = prediction_path.with_suffix(".manifest.json")
manifest = json.loads(manifest_path.read_text())
manifest["config"]["provenance"]["backend"] = "different-model"
manifest["config_sha256"] = replay._object_hash(manifest["config"])
_write(manifest_path, manifest)
rows = _read_rows(prediction_path)
for row in rows:
row["config_sha256"] = manifest["config_sha256"]
_write_rows(prediction_path, rows)
_refresh_prediction_hashes(paths[1], prediction_path)
with self.assertRaisesRegex(ValueError, "incompatible frozen"):
replay.replay(*paths, allow_subset=True)
if __name__ == "__main__":
unittest.main()
|