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chore: import upstream snapshot with attribution
2026-07-13 13:28:29 +08:00

538 lines
21 KiB
Python

"""GET /api/events — user-scoped Server-Sent Events endpoint.
Subscribe-then-snapshot pattern: subscribe to ``user:{user_id}``
pub/sub, snapshot the Redis Streams backlog past ``Last-Event-ID``
inside the SUBSCRIBE-ack callback, flush snapshot, then tail live
events (dedup'd by stream id). See ``docs/runbooks/sse-notifications.md``.
"""
from __future__ import annotations
import json
import logging
import re
import time
from typing import Iterator, Optional
from flask import Blueprint, Response, jsonify, make_response, request, stream_with_context
from application.cache import get_redis_instance
from application.core.settings import settings
from application.core.shutdown import is_shutting_down
from application.events.keys import (
connection_counter_key,
replay_budget_key,
stream_id_compare,
stream_key,
topic_name,
)
from application.streaming.broadcast_channel import Topic
logger = logging.getLogger(__name__)
events = Blueprint("event_stream", __name__)
SUBSCRIBE_POLL_INTERVAL_SECONDS = 1.0
# WHATWG SSE treats CRLF, CR, and LF equivalently as line terminators.
_SSE_LINE_SPLIT = re.compile(r"\r\n|\r|\n")
# Redis Streams ids are ``ms`` or ``ms-seq`` where both halves are decimal.
# Anything else is a corrupted client cookie / IndexedDB residue and must
# not be passed to XRANGE — Redis would reject it and our truncation gate
# would silently fail.
_STREAM_ID_RE = re.compile(r"^\d+(-\d+)?$")
# Only emitted at most once per process so a misconfigured deployment
# doesn't drown the logs.
_local_user_warned = False
def _format_sse(data: str, *, event_id: Optional[str] = None) -> str:
"""Encode a payload as one SSE message terminated by a blank line.
Splits on any line-terminator variant (``\\r\\n``, ``\\r``, ``\\n``)
so a stray CR in upstream content can't smuggle a premature line
boundary into the wire format.
"""
lines: list[str] = []
if event_id:
lines.append(f"id: {event_id}")
for line in _SSE_LINE_SPLIT.split(data):
lines.append(f"data: {line}")
return "\n".join(lines) + "\n\n"
def _decode(value) -> Optional[str]:
if value is None:
return None
if isinstance(value, (bytes, bytearray)):
try:
return value.decode("utf-8")
except Exception:
return None
return str(value)
def _oldest_retained_id(redis_client, user_id: str) -> Optional[str]:
"""Return the id of the oldest entry still in the stream, or ``None``.
Used to detect ``Last-Event-ID`` having slid off the back of the
MAXLEN'd window.
"""
try:
info = redis_client.xinfo_stream(stream_key(user_id))
except Exception:
return None
if not isinstance(info, dict):
return None
# redis-py 7.4 returns str-keyed dicts here; the bytes-key probe is
# defence in depth in case ``decode_responses`` is ever flipped.
first_entry = info.get("first-entry") or info.get(b"first-entry")
if not first_entry:
return None
# XINFO STREAM returns first-entry as [id, [field, value, ...]]
try:
return _decode(first_entry[0])
except Exception:
return None
def _allow_replay(
redis_client, user_id: str, last_event_id: Optional[str]
) -> bool:
"""Per-user sliding-window snapshot-replay budget.
Fails open on Redis errors or when the budget is disabled. No-cursor
connects never consume budget: fresh sessions start live and do no
snapshot work, so counting them only starved real reconnects (a burst
of fresh tabs could 429 a user's cursor-bearing reconnect).
"""
budget = int(settings.EVENTS_REPLAY_BUDGET_REQUESTS_PER_WINDOW)
if budget <= 0:
return True
if redis_client is None:
return True
if last_event_id is None:
return True
window = max(1, int(settings.EVENTS_REPLAY_BUDGET_WINDOW_SECONDS))
key = replay_budget_key(user_id)
try:
used = int(redis_client.incr(key))
# Always (re)seed the TTL. Gating on ``used == 1`` would wedge
# the counter forever if INCR succeeds but EXPIRE raises on
# the seeding call. EXPIRE on an existing key resets the TTL
# to ``window`` — within ±1s of the per-window budget semantic.
redis_client.expire(key, window)
except Exception:
logger.debug(
"replay budget probe failed for user=%s; failing open",
user_id,
)
return True
return used <= budget
def _normalize_last_event_id(raw: Optional[str]) -> Optional[str]:
"""Validate the ``Last-Event-ID`` header / query param.
Returns the value unchanged when it parses as a Redis Streams id,
otherwise ``None`` — callers treat ``None`` as "client has nothing"
and start the stream live (no snapshot). Invalid ids would
otherwise pass straight to XRANGE and surface as a quiet replay
failure plus broken truncation detection.
"""
if raw is None:
return None
raw = raw.strip()
if not raw or not _STREAM_ID_RE.match(raw):
return None
return raw
def _replay_floor_id() -> Optional[str]:
"""Oldest stream id the snapshot replay may reach, or ``None``.
Streams ids are millisecond timestamps, so an age ceiling maps
directly to an id floor. MAXLEN caps the stream by count, not time —
for a low-traffic user 1000 entries can span weeks, and shipping
that on reconnect helps no one.
"""
max_age_hours = int(settings.EVENTS_REPLAY_MAX_AGE_HOURS)
if max_age_hours <= 0:
return None
floor_ms = int(time.time() * 1000) - max_age_hours * 3600 * 1000
return f"{floor_ms}-0"
def _replay_backlog(
redis_client, user_id: str, last_event_id: Optional[str], max_count: int
) -> Iterator[tuple[str, str]]:
"""Yield ``(entry_id, sse_line)`` for backlog entries past ``last_event_id``.
Capped at ``max_count`` rows; clients catch up across reconnects.
Parse failures are skipped; the Streams id is injected into the
envelope so replay matches live-tail shape.
"""
floor = _replay_floor_id()
if last_event_id is None:
start = floor or "-"
elif floor and stream_id_compare(last_event_id, floor) < 0:
# Cursor is past the age ceiling: clamp to the floor (inclusive).
# The caller emits ``backlog.truncated`` for this case.
start = floor
else:
# Exclusive start: '(<id>' skips the already-delivered entry.
start = f"({last_event_id}"
try:
entries = redis_client.xrange(
stream_key(user_id), min=start, max="+", count=max_count
)
except Exception as exc:
logger.warning(
"xrange replay failed for user=%s last_id=%s err=%s",
user_id,
last_event_id or "-",
exc,
)
return
for entry_id, fields in entries:
entry_id_str = _decode(entry_id)
if not entry_id_str:
continue
# decode_responses=False on the cache client ⇒ field keys/values
# are bytes. The string-key fallback covers a future flip of that
# default without a forced refactor here.
raw_event = None
if isinstance(fields, dict):
raw_event = fields.get(b"event")
if raw_event is None:
raw_event = fields.get("event")
event_str = _decode(raw_event)
if not event_str:
continue
try:
envelope = json.loads(event_str)
if isinstance(envelope, dict):
envelope["id"] = entry_id_str
event_str = json.dumps(envelope)
except Exception:
logger.debug(
"Replay envelope parse failed for entry %s; passing through raw",
entry_id_str,
)
yield entry_id_str, _format_sse(event_str, event_id=entry_id_str)
def _truncation_notice_line(oldest_id: str) -> str:
"""SSE event the frontend can react to with a full-state refetch."""
return _format_sse(
json.dumps(
{
"type": "backlog.truncated",
"payload": {"oldest_retained_id": oldest_id},
}
)
)
@events.route("/api/events", methods=["GET"])
def stream_events() -> Response:
decoded = getattr(request, "decoded_token", None)
user_id = decoded.get("sub") if isinstance(decoded, dict) else None
if not user_id:
return make_response(
jsonify({"success": False, "message": "Authentication required"}),
401,
)
# In dev deployments without AUTH_TYPE configured, every request
# resolves to user_id="local" and shares one stream. Surface this so
# an accidentally-multi-user dev box doesn't silently cross-stream.
global _local_user_warned
if user_id == "local" and not _local_user_warned:
logger.warning(
"SSE serving user_id='local' (AUTH_TYPE not set). "
"All clients on this deployment will share one event stream."
)
_local_user_warned = True
raw_last_event_id = request.headers.get("Last-Event-ID") or request.args.get(
"last_event_id"
)
last_event_id = _normalize_last_event_id(raw_last_event_id)
last_event_id_invalid = raw_last_event_id is not None and last_event_id is None
keepalive_seconds = float(settings.SSE_KEEPALIVE_SECONDS)
push_enabled = settings.ENABLE_SSE_PUSH
cap = int(settings.SSE_MAX_CONCURRENT_PER_USER)
redis_client = get_redis_instance()
counter_key = connection_counter_key(user_id)
counted = False
if push_enabled and redis_client is not None and cap > 0:
try:
current = int(redis_client.incr(counter_key))
counted = True
except Exception:
current = 0
logger.debug(
"SSE connection counter INCR failed for user=%s", user_id
)
if counted:
# 1h safety TTL — orphaned counts from hard crashes self-heal.
# EXPIRE failure must NOT clobber ``current`` and bypass the cap.
try:
redis_client.expire(counter_key, 3600)
except Exception:
logger.debug(
"SSE connection counter EXPIRE failed for user=%s", user_id
)
if current > cap:
try:
redis_client.decr(counter_key)
except Exception:
logger.debug(
"SSE connection counter DECR failed for user=%s",
user_id,
)
return make_response(
jsonify(
{
"success": False,
"message": "Too many concurrent SSE connections",
}
),
429,
)
# Replay budget is checked here, before the generator opens the
# stream, so a denial can surface as HTTP 429 instead of a silent
# snapshot skip. The earlier in-generator skip lost events between
# the client's cursor and the first live-tailed entry: the live
# tail still carried ``id:`` headers, the frontend advanced
# ``lastEventId`` to one of those ids, and the events in between
# were never reachable on the next reconnect. 429 keeps the
# cursor pinned and lets the frontend back off until the window
# slides (eventStreamClient.ts treats 429 as escalated backoff).
if push_enabled and redis_client is not None and not _allow_replay(
redis_client, user_id, last_event_id
):
if counted:
try:
redis_client.decr(counter_key)
except Exception:
logger.debug(
"SSE connection counter DECR failed for user=%s",
user_id,
)
return make_response(
jsonify(
{
"success": False,
"message": "Replay budget exhausted",
}
),
429,
)
@stream_with_context
def generate() -> Iterator[str]:
connect_ts = time.monotonic()
replayed_count = 0
try:
# First frame primes intermediaries (Cloudflare, nginx) so they
# don't sit on a buffer waiting for body bytes.
yield ": connected\n\n"
if not push_enabled:
yield ": push_disabled\n\n"
return
replay_lines: list[str] = []
max_replayed_id: Optional[str] = None
replay_done = False
# If the client sent a malformed Last-Event-ID, surface the
# truncation notice synchronously *before* the subscribe
# loop. Buffering it into ``replay_lines`` would lose it
# when ``Topic.subscribe`` returns immediately (Redis down)
# — the loop body never runs, and the flush at line ~335
# never fires.
if last_event_id_invalid:
yield _truncation_notice_line("")
replayed_count += 1
def _on_subscribe_callback() -> None:
# Runs synchronously inside Topic.subscribe after the
# SUBSCRIBE is acked. By doing XRANGE here, any publisher
# firing between SUBSCRIBE-send and SUBSCRIBE-ack has its
# XADD captured by XRANGE *and* its PUBLISH buffered at
# the connection layer until we read it — closing the
# replay/subscribe race the design doc warns about.
#
# Truncation contract: ``backlog.truncated`` is emitted
# ONLY when the client's ``Last-Event-ID`` has slid off
# the MAXLEN'd window — that's the case where the
# journal is genuinely gone past the cursor and the
# frontend should clear its slice cursor and refetch
# state. Cap-hit skips the snapshot silently: the
# cursor advances via the per-entry ``id:`` headers
# and the frontend's slice keeps the latest id so the
# next reconnect resumes from there. Budget-exhausted
# never reaches this callback — the route 429s before
# opening the stream, keeping the cursor pinned.
# Conflating these with stale-cursor truncation would
# tell the client to clear its cursor and re-receive
# the same oldest-N entries on every reconnect —
# locking the user out of entries past N.
nonlocal max_replayed_id, replay_done
try:
if redis_client is None:
return
if last_event_id is None:
# Fresh session: start live. A no-cursor connect has
# no state to catch up on — replaying the whole
# retained window shipped weeks-old entries on every
# tab-open (MAXLEN caps by count, not age). Clients
# that had state present a cursor; the malformed-
# cursor case already got its truncation notice
# before the subscribe loop.
return
oldest = _oldest_retained_id(redis_client, user_id)
floor = _replay_floor_id()
# The snapshot can't reach past whichever is newer:
# the MAXLEN'd window edge or the age floor.
effective_oldest = oldest
if floor and (
effective_oldest is None
or stream_id_compare(floor, effective_oldest) > 0
):
effective_oldest = floor
if (
effective_oldest
and stream_id_compare(last_event_id, effective_oldest) < 0
):
# The Last-Event-ID has slid off the replayable
# window. Tell the client so it can fetch full state.
replay_lines.append(
_truncation_notice_line(effective_oldest)
)
replay_cap = int(settings.EVENTS_REPLAY_MAX_PER_REQUEST)
for entry_id, sse_line in _replay_backlog(
redis_client, user_id, last_event_id, replay_cap
):
replay_lines.append(sse_line)
max_replayed_id = entry_id
finally:
# Always flip the flag — even on partial-replay failure
# the outer loop must reach the flush step so we don't
# silently strand whatever entries did land.
replay_done = True
topic = Topic(topic_name(user_id))
last_keepalive = time.monotonic()
for payload in topic.subscribe(
on_subscribe=_on_subscribe_callback,
poll_timeout=SUBSCRIBE_POLL_INTERVAL_SECONDS,
):
# Break promptly on shutdown — this a2wsgi thread can't be
# cancelled by asyncio (see application/core/shutdown.py).
if is_shutting_down():
break
# Flush snapshot on the first iteration after the SUBSCRIBE
# callback ran. This runs at most once per connection.
if replay_done and replay_lines:
for line in replay_lines:
yield line
replayed_count += 1
replay_lines.clear()
now = time.monotonic()
if payload is None:
if now - last_keepalive >= keepalive_seconds:
yield ": keepalive\n\n"
last_keepalive = now
continue
event_str = _decode(payload) or ""
event_id: Optional[str] = None
try:
envelope = json.loads(event_str)
if isinstance(envelope, dict):
candidate = envelope.get("id")
# Only trust ids that look like real Redis Streams
# ids (``ms`` or ``ms-seq``). A malformed or
# adversarial publisher could otherwise pin
# dedupe forever — a lex-greater bogus id would
# make every legitimate later id compare ``<=``
# and get dropped silently.
if isinstance(candidate, str) and _STREAM_ID_RE.match(
candidate
):
event_id = candidate
except Exception:
pass
# Dedupe: if this id was already covered by replay, drop it.
if (
event_id is not None
and max_replayed_id is not None
and stream_id_compare(event_id, max_replayed_id) <= 0
):
continue
yield _format_sse(event_str, event_id=event_id)
last_keepalive = now
# Topic.subscribe exited before the first yield (transient
# Redis hiccup between SUBSCRIBE-ack and the first poll, or
# an immediate Redis-down return). The callback may already
# have populated the snapshot — flush it so the client gets
# the backlog instead of a silent drop. Safe no-op when the
# in-loop flush ran (it clear()'d the buffer) and when the
# callback never fired (replay_done stays False).
if replay_done and replay_lines:
for line in replay_lines:
yield line
replayed_count += 1
replay_lines.clear()
except GeneratorExit:
return
except Exception:
logger.exception(
"SSE event-stream generator crashed for user=%s", user_id
)
finally:
duration_s = time.monotonic() - connect_ts
logger.info(
"event.disconnect user=%s duration_s=%.1f replayed=%d",
user_id,
duration_s,
replayed_count,
)
if counted and redis_client is not None:
try:
redis_client.decr(counter_key)
except Exception:
logger.debug(
"SSE connection counter DECR failed for user=%s on disconnect",
user_id,
)
response = Response(generate(), mimetype="text/event-stream")
response.headers["Cache-Control"] = "no-store"
response.headers["X-Accel-Buffering"] = "no"
response.headers["Connection"] = "keep-alive"
logger.info(
"event.connect user=%s last_event_id=%s%s",
user_id,
last_event_id or "-",
" (rejected_invalid)" if last_event_id_invalid else "",
)
return response