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* fix(streaming): signal replay history gaps * fix(streaming): guard initial Redis replay window * fix(frontend): align inactive gap recovery --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
191 lines
7.2 KiB
Python
191 lines
7.2 KiB
Python
"""In-memory stream bridge backed by an in-process event log."""
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from __future__ import annotations
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import asyncio
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import logging
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import re
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import time
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from collections.abc import AsyncIterator
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from dataclasses import dataclass, field
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from typing import Any
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from .base import END_SENTINEL, HEARTBEAT_SENTINEL, StreamBridge, StreamEvent, StreamGap, StreamItem
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logger = logging.getLogger(__name__)
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_MEMORY_STREAM_ID_RE = re.compile(r"\d+-(\d+)")
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@dataclass
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class _RunStream:
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events: list[StreamEvent] = field(default_factory=list)
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condition: asyncio.Condition = field(default_factory=asyncio.Condition)
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ended: bool = False
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start_offset: int = 0
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class MemoryStreamBridge(StreamBridge):
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"""Per-run in-memory event log implementation.
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Events are retained for a bounded time window per run so late subscribers
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and reconnecting clients can replay buffered events from ``Last-Event-ID``.
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"""
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def __init__(self, *, queue_maxsize: int = 256) -> None:
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self._maxsize = queue_maxsize
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self._streams: dict[str, _RunStream] = {}
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self._counters: dict[str, int] = {}
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# -- helpers ---------------------------------------------------------------
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def _get_or_create_stream(self, run_id: str) -> _RunStream:
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if run_id not in self._streams:
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self._streams[run_id] = _RunStream()
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self._counters[run_id] = 0
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return self._streams[run_id]
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def _next_id(self, run_id: str) -> str:
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self._counters[run_id] = self._counters.get(run_id, 0) + 1
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ts = int(time.time() * 1000)
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seq = self._counters[run_id] - 1
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return f"{ts}-{seq}"
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@staticmethod
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def _parse_event_seq(event_id: str) -> int | None:
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"""Extract the per-run sequence number from a ``{ts}-{seq}`` event id.
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``seq`` (assigned by :meth:`_next_id`) increases by one per published
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event, so it equals the event's absolute offset within the run. Returns
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``None`` for ids that do not match the expected format.
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"""
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match = _MEMORY_STREAM_ID_RE.fullmatch(event_id)
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if match is None:
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return None
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return int(match.group(1))
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@staticmethod
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def _make_gap(stream: _RunStream, requested_event_id: str | None) -> StreamGap:
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return StreamGap(
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requested_event_id=requested_event_id,
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earliest_available_event_id=stream.events[0].id,
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latest_available_event_id=stream.events[-1].id,
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)
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def _resolve_start_offset(self, stream: _RunStream, last_event_id: str | None) -> int | StreamGap:
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if last_event_id is None:
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return stream.start_offset
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# Event ids embed a per-run, monotonically increasing ``seq`` that equals
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# the event's absolute offset, so locate the event by arithmetic in O(1)
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# rather than scanning the retained buffer. Retained ids are verified at
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# the computed index. Once an id is below the retained watermark there is
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# nothing left to verify its timestamp against, so even a numeric foreign
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# id takes the conservative gap path; reloading durable state is safer
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# than silently claiming a complete replay. Unknown ids at or above the
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# watermark keep the legacy replay-from-earliest behavior.
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seq = self._parse_event_seq(last_event_id)
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if seq is not None:
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if stream.events and seq < stream.start_offset:
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return self._make_gap(stream, last_event_id)
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local_index = seq - stream.start_offset
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if 0 <= local_index < len(stream.events) and stream.events[local_index].id == last_event_id:
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return stream.start_offset + local_index + 1
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if stream.events:
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logger.warning(
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"last_event_id=%s not found in retained buffer; replaying from earliest retained event",
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last_event_id,
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)
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return stream.start_offset
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async def stream_exists(self, run_id: str) -> bool:
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"""Return whether the in-process event log still has data for *run_id*."""
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return run_id in self._streams
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# -- StreamBridge API ------------------------------------------------------
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async def publish(self, run_id: str, event: str, data: Any) -> None:
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stream = self._get_or_create_stream(run_id)
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entry = StreamEvent(id=self._next_id(run_id), event=event, data=data)
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async with stream.condition:
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stream.events.append(entry)
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if len(stream.events) > self._maxsize:
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overflow = len(stream.events) - self._maxsize
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del stream.events[:overflow]
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stream.start_offset += overflow
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stream.condition.notify_all()
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async def publish_end(self, run_id: str) -> None:
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stream = self._get_or_create_stream(run_id)
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async with stream.condition:
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stream.ended = True
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stream.condition.notify_all()
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async def subscribe(
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self,
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run_id: str,
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*,
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last_event_id: str | None = None,
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heartbeat_interval: float = 15.0,
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) -> AsyncIterator[StreamItem]:
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stream = self._get_or_create_stream(run_id)
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async with stream.condition:
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start = self._resolve_start_offset(stream, last_event_id)
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if isinstance(start, StreamGap):
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gap = start
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next_offset = stream.start_offset
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else:
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gap = None
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next_offset = start
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if gap is not None:
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yield gap
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return
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cursor_event_id = last_event_id
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while True:
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async with stream.condition:
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if next_offset < stream.start_offset:
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logger.warning(
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"subscriber for run %s fell behind retained buffer at offset %s",
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run_id,
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next_offset,
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)
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entry: StreamItem = self._make_gap(stream, cursor_event_id)
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should_stop = True
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else:
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should_stop = False
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local_index = next_offset - stream.start_offset
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if 0 <= local_index < len(stream.events):
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entry = stream.events[local_index]
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next_offset += 1
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cursor_event_id = entry.id
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elif stream.ended:
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entry = END_SENTINEL
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else:
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try:
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await asyncio.wait_for(stream.condition.wait(), timeout=heartbeat_interval)
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except TimeoutError:
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entry = HEARTBEAT_SENTINEL
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else:
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continue
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if entry is END_SENTINEL:
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yield END_SENTINEL
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return
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yield entry
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if should_stop:
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return
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async def cleanup(self, run_id: str, *, delay: float = 0) -> None:
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if delay > 0:
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await asyncio.sleep(delay)
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self._streams.pop(run_id, None)
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self._counters.pop(run_id, None)
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async def close(self) -> None:
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self._streams.clear()
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self._counters.clear()
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