fencekit
Redis-backed idempotency and fenced distributed locks for background jobs.
Celery with acks_late redelivers work after a worker crash. Redis gives you
SET NX and Lua. fencekit wraps those into tested pieces:
| Piece | Problem it solves |
|---|---|
IdempotencyGuard |
Double-start / redelivery of the same logical job |
DistributedLock + fencing token |
Two workers on the same resource at once |
FenceGate / fenced_update |
Stale lock holder overwriting newer state after TTL expiry |
Extracted from ChessMate (Celery + Redis + Postgres). See DESIGN.md for guarantees, non-guarantees, and crash semantics.
Install
pip install fencekit
pip install "fencekit[django]" # optional Django QuerySet helper
pip install "fencekit[celery]" # optional Celery task decorator
pip install "fencekit[otel]" # optional OpenTelemetry hook factory
Requires Redis 6+ (tested with Redis 7) and Python 3.10+.
Quick example
from datetime import timedelta
from redis import Redis
from fencekit import (
BeginOutcome,
DistributedLock,
FenceGate,
IdempotencyGuard,
IdempotencyResultMissing,
fenced_update,
idempotency_key,
)
r = Redis.from_url("redis://localhost:6379/0", decode_responses=True)
guard = IdempotencyGuard(r)
lock = DistributedLock(r)
fence = FenceGate(r)
def analyze_batch(job) -> dict | None:
key = idempotency_key(
{"game_ids": ["abc", "def"], "engine": "sf16"},
namespace="analysis",
)
resource = f"analysis:{job.pk}"
outcome = guard.try_begin_or_reclaim(
key, lock=lock, lock_resource=resource, ttl=timedelta(hours=24)
)
if outcome == BeginOutcome.ALREADY_DONE:
try:
return guard.get_result(key)
except IdempotencyResultMissing:
return None
if outcome == BeginOutcome.IN_PROGRESS:
return None # active worker holds the lock
handle = lock.acquire(resource, ttl=timedelta(minutes=5), owner_id=guard.owner_id)
try:
fence.set_if_fresh(handle.token, f"analysis:{job.pk}:status", "running")
fenced_update(
type(job).objects.filter(pk=job.pk),
handle.token,
updates={"progress": 50, "status": "running"},
)
result = {"report_id": job.pk, "status": "done"}
guard.mark_done(key, result=result, ttl=timedelta(hours=24))
return result
finally:
lock.release(handle)
API overview
idempotency_key(payload, namespace=...): deterministic key from JSON-canonicalized payload.
IdempotencyGuard.try_begin / try_begin_or_reclaim / mark_done / get_result: at-most-once start; reclaim stale pending after crash; optional JSON memo on completion.
DistributedLock.acquire / release / extend: lease plus monotonic fencing token (Lua).
FenceGate.set_if_fresh: atomic fenced Redis string writes.
fenced_update(queryset, token, updates=...): fenced Django/Postgres UPDATE in one statement.
Typed public API (py.typed). Optional Celery helper: fencekit.celery.idempotent_task.
Observability (optional)
Pass :class:~fencekit.hooks.FenceKitHooks to IdempotencyGuard, DistributedLock, and FenceGate, or use the OTel factory:
from fencekit import DistributedLock, FenceKitHooks, IdempotencyGuard
from fencekit.otel import otel_hooks
hooks = otel_hooks() # pip install "fencekit[otel]"
guard = IdempotencyGuard(redis, hooks=hooks)
lock = DistributedLock(redis, hooks=hooks)
Hook callbacks must not raise; fencekit swallows errors so metrics cannot break jobs.
Celery (optional)
from datetime import timedelta
from fencekit.celery import idempotent_task
from fencekit import DistributedLock, IdempotencyGuard, idempotency_key
guard = IdempotencyGuard(redis)
lock = DistributedLock(redis)
@shared_task(bind=True)
@idempotent_task(
guard,
lock,
key=lambda batch_id: idempotency_key({"batch_id": batch_id}, namespace="analysis"),
lock_resource=lambda batch_id: f"analysis:{batch_id}",
idempotency_ttl=timedelta(hours=24),
lock_ttl=timedelta(minutes=5),
retry_on_in_progress=True,
)
def analyze_batch(self, batch_id: str) -> dict:
...
Comparison
Short view. Sources and nuance: docs/COMPARISON.md.
| Dedup start | Celery plugin | Stale-write fencing | Postgres helper | |
|---|---|---|---|---|
| fencekit | Yes | Manual | Yes | fenced_update |
| celery-once / celery-singleton | Yes | Yes | No | No |
redis-py Lock |
No | No | No | No |
| relier | Yes | Yes | Partial (framework) | App-owned |
fencekit complements celery-once. celery-once dedupes scheduling; fencekit rejects writes from a worker whose lock TTL already expired.
Local demo (no cloud)
Redis via Docker on your machine. No hosted services, no monthly bill.
docker compose -f examples/reference/docker-compose.yml up -d
pip install -e .
python examples/reference/demo_stale_fence.py
python examples/reference/demo_idempotency.py
See examples/reference/README.md.
Guarantees
| Claim | Status |
|---|---|
| At-most-once start within idempotency TTL | Yes (SET NX) |
Memoized result after mark_done(..., result=...) |
Yes (within TTL) |
| Mutual exclusion while lock TTL held (single Redis primary) | Best-effort lease |
Stale holder blocked via FenceGate / fenced_update |
Yes (when used) |
| Exactly-once delivery | No |
| Safety under Redis failover / split brain | No |
| Writes that skip the fencing token | No |
fencekit does not implement Redlock. Fencing only works when the storage layer checks the token in the same operation as the write.
Development
REM Windows (CMD)
python -m pip install -e ".[dev]"
python -m ruff check src tests
python -m mypy src
python -m pytest -m "not integration" -q
Full suite (Redis on localhost:6379):
set FENCEKIT_REDIS_URL=redis://localhost:6379/15
python -m pytest -q
# Linux/macOS with uv
uv sync --extra dev
uv run pytest
CI runs lint, type-check, and tests on Python 3.10–3.13 with Redis. Releases publish to PyPI via Trusted Publishing (OIDC, no long-lived token).
License
MIT
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