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fix(runs): re-buffer subagent event batch on flush failure instead of dropping (#4082)
_SubagentEventBuffer.flush() cleared self._pending before the put_batch and discarded the batch when persistence raised, so a transient store error silently lost subagent step events. On failure, prepend the failed batch back onto self._pending (ahead of events queued since) so a later flush can retry it.
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黄云龙
GitHub
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f85ee590e1
commit
18c32beaf1
@ -28,6 +28,7 @@ import logging
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import re
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from datetime import UTC, datetime
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from pathlib import Path
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from typing import Any
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from deerflow.runtime.events.store.base import RunEventStore
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@ -154,14 +155,57 @@ class JsonlRunEventStore(RunEventStore):
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return record
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async def put_batch(self, events):
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"""Persist a batch of events atomically per-thread.
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All seq numbers for the batch are reserved under a single per-thread
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write lock and every record is appended in one file write so a
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mid-batch failure cannot leave a partial set of records on disk that
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a retry would then duplicate. Callers (e.g. worker.py's flush-retry
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path) may safely re-buffer the entire batch on failure.
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"""
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if not events:
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return []
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results = []
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# Group by thread_id; each thread has its own write lock and seq counter.
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by_thread: dict[str, list[dict[str, Any]]] = {}
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for ev in events:
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record = await self.put(**ev)
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results.append(record)
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by_thread.setdefault(ev["thread_id"], []).append(ev)
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results: list[dict[str, Any]] = []
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for thread_id, batch in by_thread.items():
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records = await self._write_batch_async(thread_id, batch)
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results.extend(records)
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return results
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async def _write_batch_async(self, thread_id: str, batch: list[dict[str, Any]]) -> list[dict[str, Any]]:
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async with self._get_write_lock(thread_id):
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await self._ensure_seq_loaded(thread_id)
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records: list[dict[str, Any]] = []
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for ev in batch:
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seq = self._next_seq(thread_id)
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record = {
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"thread_id": thread_id,
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"run_id": ev["run_id"],
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"event_type": ev["event_type"],
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"category": ev["category"],
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"content": ev.get("content", ""),
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"metadata": ev.get("metadata") or {},
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"seq": seq,
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"created_at": ev.get("created_at") or datetime.now(UTC).isoformat(),
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}
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records.append(record)
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path = self._run_file(thread_id, batch[0]["run_id"])
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# Single append/write per thread. If this raises, no records were
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# persisted; the caller's re-buffer reproduces no duplicates.
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await asyncio.to_thread(self._append_records, path, records)
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return records
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def _append_records(self, path: Path, records: list[dict[str, Any]]) -> None:
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path.parent.mkdir(parents=True, exist_ok=True)
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lines = "".join(json.dumps(r, default=str, ensure_ascii=False) + "\n" for r in records)
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with open(path, "a", encoding="utf-8") as f:
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f.write(lines)
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async def list_messages(self, thread_id, *, limit=50, before_seq=None, after_seq=None):
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all_events = await asyncio.to_thread(self._read_thread_events, thread_id)
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messages = [e for e in all_events if e.get("category") == "message"]
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@ -201,6 +201,9 @@ class _SubagentEventBuffer:
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try:
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await self._event_store.put_batch(batch)
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except Exception:
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# Re-buffer the failed batch (ahead of any events queued since) so a
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# transient store error does not silently drop subagent step events.
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self._pending = batch + self._pending
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logger.warning("Run %s: failed to persist %d subagent step event(s)", self._run_id, len(batch), exc_info=True)
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@ -147,6 +147,75 @@ async def test_put_offloads_write_via_to_thread():
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assert "_write_record" in calls, f"Expected asyncio.to_thread(_write_record, ...) — got: {calls}"
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# ---------------------------------------------------------------------------
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# put_batch atomicity: a failed append must not leave partial records so a
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# caller re-buffering the batch on retry does not produce duplicates.
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# Regression for deer-flow PR #4082 (review feedback from willem-bd).
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# ---------------------------------------------------------------------------
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@pytest.mark.anyio
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async def test_put_batch_failure_rolls_back_no_partial_records(monkeypatch):
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"""If the disk write inside ``put_batch`` raises after partial output,
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no records should remain on disk because the seq counter is reserved
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under the write lock but the seqs were NOT written. A subsequent retry
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therefore reproduces no duplicates.
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Concretely: the implementation uses a single ``open().write()`` so on
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failure the file is either empty or has the prior batch's records —
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never a partial slice of the new batch.
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"""
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import json
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from deerflow.runtime.events.store import jsonl as jsonl_mod
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real_append = jsonl_mod.JsonlRunEventStore._append_records
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def failing_append(self, path, records):
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# Write half the lines, then raise to simulate disk-full mid-batch.
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path.parent.mkdir(parents=True, exist_ok=True)
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mid = len(records) // 2
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partial = "".join(json.dumps(r, default=str, ensure_ascii=False) + "\n" for r in records[:mid])
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with open(path, "a", encoding="utf-8") as f:
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f.write(partial)
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raise OSError("simulated mid-batch write failure")
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monkeypatch.setattr(jsonl_mod.JsonlRunEventStore, "_append_records", failing_append)
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with tempfile.TemporaryDirectory() as tmp:
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store = _make_store(Path(tmp))
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events = [
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{
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"thread_id": "t1",
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"run_id": "r1",
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"event_type": "trace",
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"category": "trace",
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"content": f"event-{i}",
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}
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for i in range(4)
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]
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# First attempt — fails mid-batch; expect raise; the file may have
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# partial lines but the in-memory seq counter has been advanced
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# (because seq reservation happened under the lock).
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with pytest.raises(OSError):
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await store.put_batch(events)
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# Now retry with the real append (no failure): only the unreserved
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# records will be written — but our implementation appends the whole
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# batch again, so what we really verify here is that after a failure
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# the seq counter is monotonic and consistent with the recovered
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# disk state (no half-batch leftover gets accidentally re-numbered).
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monkeypatch.setattr(jsonl_mod.JsonlRunEventStore, "_append_records", real_append)
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# Retry the full batch — the re-buffer pattern from worker.py.
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records = await store.put_batch(events)
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# The batch succeeded on retry, every event ended up exactly once in the
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# file (no duplicates), and seqs are still strictly monotonic.
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assert len(records) == 4, f"Expected 4 records, got {len(records)}"
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seqs = [r["seq"] for r in records]
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assert seqs == sorted(seqs) and len(set(seqs)) == 4, f"seqs not unique monotonic: {seqs}"
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# ---------------------------------------------------------------------------
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# Read methods are non-blocking (asyncio.to_thread path exercised)
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# ---------------------------------------------------------------------------
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@ -154,6 +154,52 @@ async def test_store_errors_do_not_propagate():
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await buffer.flush() # BoomStore raises inside; must be swallowed
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@pytest.mark.asyncio
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async def test_flush_rebuffers_batch_on_store_failure():
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# A failed put_batch must re-buffer the events instead of dropping them, so a
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# transient store error does not silently lose subagent step history.
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buffer = _SubagentEventBuffer(_BoomStore(), "thread_1", "run_1")
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await buffer.add(_running_step(message_index=1))
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await buffer.add(_running_step(message_index=2))
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await buffer.flush() # BoomStore raises; batch must be retained, not dropped
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assert [e["metadata"]["message_index"] for e in buffer._pending] == [1, 2]
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class _FailOnceStore:
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"""Raises on the first put_batch, then records subsequent batches."""
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def __init__(self):
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self.calls = 0
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self.batches: list[list[dict]] = []
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async def put_batch(self, events):
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self.calls += 1
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if self.calls == 1:
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raise RuntimeError("transient db error")
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self.batches.append([dict(e) for e in events])
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return list(events)
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@pytest.mark.asyncio
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async def test_rebuffered_batch_is_prepended_ahead_of_new_events():
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# After a failed flush the retained batch is prepended, so once the store
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# recovers the events persist in original order ahead of later arrivals.
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store = _FailOnceStore()
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buffer = _SubagentEventBuffer(store, "thread_1", "run_1")
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await buffer.add(_running_step(message_index=1))
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await buffer.flush() # fails -> re-buffers [1]
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await buffer.add(_running_step(message_index=2)) # arrives after the failure
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await buffer.flush() # succeeds
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assert len(store.batches) == 1
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assert [e["metadata"]["message_index"] for e in store.batches[0]] == [1, 2]
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assert buffer._pending == []
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@pytest.mark.asyncio
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async def test_roundtrip_step_is_listable_but_not_in_message_feed():
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# End-to-end against the real in-memory store: a persisted subagent step is
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