Files
aiturk-hermes-ide/tests/test_batch_runner_discard_resume.py

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7.1 KiB
Python

"""Discarded samples must be visible to --resume (#93527).
The no-reasoning discard path used to mark prompts completed only in the
checkpoint index while writing no batch_*.jsonl row. Resume filters
exclusively by scanning those files for prompt content, so every
discarded sample was re-run at full cost on each restart. The fix writes
a tombstone row that the content scan treats as completed and the
trajectories.jsonl merge excludes.
"""
import json
from unittest.mock import MagicMock, patch
import batch_runner
from batch_runner import (
BatchRunner,
_entry_prompt_text,
_process_batch_worker,
)
# ─────────────────────────────────────────────────────────────────────
# Worker: discard leaves a tombstone row
# ─────────────────────────────────────────────────────────────────────
def _discarded_result():
return {
"success": True,
"trajectory": [{"role": "assistant", "content": "x"}],
"reasoning_stats": {"has_any_reasoning": False},
"tool_stats": {},
"metadata": {},
"completed": True,
"api_calls": 1,
"toolsets_used": [],
}
def test_discard_writes_tombstone_row(tmp_path, monkeypatch):
monkeypatch.setattr(
"batch_runner._process_single_prompt", lambda *a, **kw: _discarded_result()
)
_process_batch_worker((1, [(0, {"prompt": "hi"})], tmp_path, set(), {"verbose": False}))
batch_file = tmp_path / "batch_1.jsonl"
rows = [json.loads(line) for line in batch_file.read_text(encoding="utf-8").splitlines() if line.strip()]
assert len(rows) == 1
assert rows[0]["discarded"] == "no_reasoning"
assert rows[0]["prompt_index"] == 0
assert rows[0]["prompt"] == "hi"
# ─────────────────────────────────────────────────────────────────────
# Content scan: tombstones count as completed
# ─────────────────────────────────────────────────────────────────────
def _scan_runner(tmp_path):
runner = BatchRunner.__new__(BatchRunner)
runner.output_dir = tmp_path
return runner
def test_content_scan_treats_tombstone_as_completed(tmp_path):
(tmp_path / "batch_1.jsonl").write_text(
json.dumps({"prompt_index": 0, "discarded": "no_reasoning", "prompt": "tombstoned q"})
+ "\n"
+ json.dumps({
"conversations": [{"from": "human", "value": "normal q"}],
"completed": True,
})
+ "\n",
encoding="utf-8",
)
completed = _scan_runner(tmp_path)._scan_completed_prompts_by_content()
assert completed == {"tombstoned q", "normal q"}
def test_content_scan_still_skips_failed_rows(tmp_path):
(tmp_path / "batch_1.jsonl").write_text(
json.dumps({"failed": True, "conversations": [{"from": "human", "value": "retry me"}]})
+ "\n",
encoding="utf-8",
)
assert _scan_runner(tmp_path)._scan_completed_prompts_by_content() == set()
# ─────────────────────────────────────────────────────────────────────
# Merge: tombstones never enter trajectories.jsonl
# ─────────────────────────────────────────────────────────────────────
def _make_real_runner(tmp_path, monkeypatch):
dataset = tmp_path / "dataset.jsonl"
dataset.write_text(json.dumps({"prompt": "hi"}) + "\n", encoding="utf-8")
monkeypatch.chdir(tmp_path)
return BatchRunner(
dataset_file=str(dataset),
batch_size=1,
run_name="discard-resume-test",
num_workers=1,
)
def _fake_pool(batch_results):
pool = MagicMock()
pool.imap_unordered.return_value = iter(batch_results)
pool_cm = MagicMock()
pool_cm.__enter__ = MagicMock(return_value=pool)
pool_cm.__exit__ = MagicMock(return_value=False)
return pool_cm
def test_merge_excludes_tombstones_from_trajectories(tmp_path, monkeypatch):
# Pre-existing output from an earlier session: one real trajectory +
# one tombstone. run(resume=False) re-processes its batches through the
# patched Pool, then merges ALL batch files on disk.
out_dir = tmp_path / "data" / "discard-resume-test"
out_dir.mkdir(parents=True)
(out_dir / "batch_1.jsonl").write_text(
json.dumps({
"prompt_index": 0,
"conversations": [{"from": "human", "value": "real q"}],
"completed": True,
"tool_stats": {},
})
+ "\n"
+ json.dumps({"prompt_index": 1, "discarded": "no_reasoning", "prompt": "dropped q"})
+ "\n",
encoding="utf-8",
)
monkeypatch.setattr("sys.argv", ["batch_runner.py"])
runner = _make_real_runner(tmp_path, monkeypatch)
# Point the runner at the pre-populated directory instead of cwd/data.
runner.output_dir = out_dir
batch_result = {
"batch_num": 1,
"processed": 0,
"skipped": 0,
"tool_stats": {},
"reasoning_stats": {},
"discarded_no_reasoning": 0,
"completed_prompts": [],
}
with patch.object(batch_runner, "Pool", return_value=_fake_pool([batch_result])):
runner.run()
merged = (out_dir / "trajectories.jsonl").read_text(encoding="utf-8").splitlines()
parsed = [json.loads(line) for line in merged if line.strip()]
assert len(parsed) == 1
assert "discarded" not in parsed[0]
stats = json.loads((out_dir / "statistics.json").read_text(encoding="utf-8"))
assert "discarded_no_reasoning" in stats
# ─────────────────────────────────────────────────────────────────────
# Prompt-text extraction shapes
# ─────────────────────────────────────────────────────────────────────
def test_entry_prompt_text_shapes():
assert _entry_prompt_text({"prompt": "flat"}) == "flat"
assert _entry_prompt_text({"conversations": [{"from": "human", "value": "sharegpt"}]}) == "sharegpt"
assert _entry_prompt_text({"conversations": [{"role": "user", "content": "chat"}]}) == "chat"
assert _entry_prompt_text({"messages": [{"role": "user", "content": "msgs"}]}) == "msgs"
assert _entry_prompt_text({"prompt": " padded ", "discarded": "x"}) == "padded"
assert _entry_prompt_text({}) == ""
assert _entry_prompt_text("not-a-dict") == ""