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docs: annotate DbRunEventStore.put() as low-frequency path

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Add docstring clarifying that put() opens a per-call transaction with
FOR UPDATE and should only be used for infrequent writes (currently
just the initial human_message event). High-throughput callers should
use put_batch() instead.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
rayhpeng
2026-04-06 11:24:29 +08:00
parent 0af0ae7fbb
commit d592a98452
1 changed files with 9 additions and 1 deletions
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backend/packages/harness/deerflow/runtime/events/store/db.py
+9 -1
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@@ -53,7 +53,15 @@ class DbRunEventStore(RunEventStore):
metadata = {**(metadata or {}), "content_truncated": True, "original_byte_length": len(encoded)} metadata = {**(metadata or {}), "content_truncated": True, "original_byte_length": len(encoded)}
return content, metadata or {} return content, metadata or {}
async def put(self, *, thread_id, run_id, event_type, category, content="", metadata=None, created_at=None): async def put(self, *, thread_id, run_id, event_type, category, content="", metadata=None, created_at=None): # noqa: D401
"""Write a single event — low-frequency path only.
This opens a dedicated transaction with a FOR UPDATE lock to
assign a monotonic *seq*. For high-throughput writes use
:meth:`put_batch`, which acquires the lock once for the whole
batch. Currently the only caller is ``worker.run_agent`` for
the initial ``human_message`` event (once per run).
"""
content, metadata = self._truncate_trace(category, content, metadata) content, metadata = self._truncate_trace(category, content, metadata)
if isinstance(content, dict): if isinstance(content, dict):
db_content = json.dumps(content, default=str, ensure_ascii=False) db_content = json.dumps(content, default=str, ensure_ascii=False)