Add optional atomic conditional writes - #369
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WalkthroughThe change adds an optional Merge Risk: 🔵 Low · up to This change adds atomic conditional writes with TTL support for MemoryStore and RedisStore. Redis coverage supports the atomic and TTL behavior, while an open MemoryStore lifecycle-test coverage gap remains a bounded merge-readiness risk. 🚥 Pre-merge checks | ✅ 2✅ Passed checks (2 passed)
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Inline comments:
In `@src/key_value/aio/stores/redis/store.py`:
- Around line 393-399: Update _put_managed_entry_if_absent() to preserve
fractional TTL precision by converting managed_entry.ttl to milliseconds and
using Redis SET with the px expiry option through _redis_set_if_absent. Keep the
Redis expiration aligned with expires_at, while retaining the existing no-expiry
behavior when ttl is None.
In `@tests/stores/base.py`:
- Around line 355-371: Update test_put_if_absent_is_atomic so
async_running_in_event_loop() is evaluated when the async test body runs rather
than during module import; move the skip check into the body or remove the
skipif decorator while preserving the existing atomicity assertions.
In `@tests/stores/memory/test_memory.py`:
- Around line 5-8: Add ContextManagerStoreTestMixin to the TestMemoryStore
inheritance list alongside PutIfAbsentStoreTestMixin and BaseStoreTests,
importing it from tests.stores.base so the suite covers context-manager and
explicit-close lifecycle behavior.
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📒 Files selected for processing (13)
README.mddocs/api/protocols.mddocs/stores.mdsrc/key_value/aio/protocols/__init__.pysrc/key_value/aio/protocols/key_value.pysrc/key_value/aio/stores/base.pysrc/key_value/aio/stores/memory/store.pysrc/key_value/aio/stores/redis/store.pytests/protocols/test_types.pytests/stores/base.pytests/stores/memory/test_memory.pytests/stores/redis/test_redis.pytests/stores/redis/test_redis_put_if_absent.py
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All reported issues were addressed across 13 files
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All reported issues were addressed across 3 files (changes from recent commits).
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2 issues found across 2 files (changes from recent commits).
Prompt for AI agents (unresolved issues)
Check if these issues are valid — if so, understand the root cause of each and fix them. If appropriate, use sub-agents to investigate and fix each issue separately.
<file name="src/key_value/aio/stores/redis/store.py">
<violation number="1" location="src/key_value/aio/stores/redis/store.py:429">
P3: `put_many` sets the Redis expiry from the nominal `ttl_seconds` (relative to pipeline execution), while `put`/`put_if_absent` use the live remaining time from `managed_entry.ttl` so the key expires exactly at its embedded `expires_at`. Because pipeline execution lags `created_at`, a `put_many` key can outlive its `expires_at` by the creation-to-execution overhead — most noticeable now that sub-second TTLs are preserved. Compute the TTL from the live remaining time (or use `pxat` from `expires_at`) so all three write paths expire keys at the same stored `expires_at`.</violation>
</file>
<file name="tests/stores/redis/test_redis.py">
<violation number="1" location="tests/stores/redis/test_redis.py:113">
P2: The ttl=0.5 case asserts PTTL is within 100ms of the intended 500ms, but the value only decays after the SET and is read in a separate await. Any pause longer than 100ms (CI load, docker/testcontainers scheduling) drives remaining_ms below 400 or expires the key (PTTL → -2), making the test flaky. Widen the tolerance for the sub-second case (e.g. delta=200) or assert a lower bound like `remaining_ms >= 300` instead of a tight ±delta band.</violation>
</file>
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| if ttl is None: | ||
| assert remaining_ms == -1 | ||
| else: | ||
| assert remaining_ms == IsInt(approx=int(ttl * 1000), delta=100) |
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P2: The ttl=0.5 case asserts PTTL is within 100ms of the intended 500ms, but the value only decays after the SET and is read in a separate await. Any pause longer than 100ms (CI load, docker/testcontainers scheduling) drives remaining_ms below 400 or expires the key (PTTL → -2), making the test flaky. Widen the tolerance for the sub-second case (e.g. delta=200) or assert a lower bound like remaining_ms >= 300 instead of a tight ±delta band.
Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. At tests/stores/redis/test_redis.py, line 113:
<comment>The ttl=0.5 case asserts PTTL is within 100ms of the intended 500ms, but the value only decays after the SET and is read in a separate await. Any pause longer than 100ms (CI load, docker/testcontainers scheduling) drives remaining_ms below 400 or expires the key (PTTL → -2), making the test flaky. Widen the tolerance for the sub-second case (e.g. delta=200) or assert a lower bound like `remaining_ms >= 300` instead of a tight ±delta band.</comment>
<file context>
@@ -89,6 +89,29 @@ async def store(self, setup_redis: None, redis_host: str, redis_port: int) -> Re
+ if ttl is None:
+ assert remaining_ms == -1
+ else:
+ assert remaining_ms == IsInt(approx=int(ttl * 1000), delta=100)
+
async def test_redis_url_connection(self, setup_redis: None, redis_host: str, redis_port: int):
</file context>
| assert remaining_ms == IsInt(approx=int(ttl * 1000), delta=100) | |
| # remaining_ms decays after the write; only the lower bound is meaningful | |
| assert remaining_ms >= int(ttl * 1000) - 200 |
| json_value = self._adapter.dump_json(entry=managed_entry, key=key, collection=collection) | ||
|
|
||
| pipeline.setex(name=combo_key, time=ttl_seconds, value=json_value) | ||
| pipeline.set(name=combo_key, value=json_value, px=ttl_ms) |
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P3: put_many sets the Redis expiry from the nominal ttl_seconds (relative to pipeline execution), while put/put_if_absent use the live remaining time from managed_entry.ttl so the key expires exactly at its embedded expires_at. Because pipeline execution lags created_at, a put_many key can outlive its expires_at by the creation-to-execution overhead — most noticeable now that sub-second TTLs are preserved. Compute the TTL from the live remaining time (or use pxat from expires_at) so all three write paths expire keys at the same stored expires_at.
Prompt for AI agents
Check if this issue is valid — if so, understand the root cause and fix it. At src/key_value/aio/stores/redis/store.py, line 429:
<comment>`put_many` sets the Redis expiry from the nominal `ttl_seconds` (relative to pipeline execution), while `put`/`put_if_absent` use the live remaining time from `managed_entry.ttl` so the key expires exactly at its embedded `expires_at`. Because pipeline execution lags `created_at`, a `put_many` key can outlive its `expires_at` by the creation-to-execution overhead — most noticeable now that sub-second TTLs are preserved. Compute the TTL from the live remaining time (or use `pxat` from `expires_at`) so all three write paths expire keys at the same stored `expires_at`.</comment>
<file context>
@@ -434,7 +426,7 @@ async def _put_managed_entries(
json_value = self._adapter.dump_json(entry=managed_entry, key=key, collection=collection)
- pipeline.setex(name=combo_key, time=ttl_seconds, value=json_value)
+ pipeline.set(name=combo_key, value=json_value, px=ttl_ms)
await _redis_pipeline_execute(pipeline)
</file context>
1 participant
Frameworks need atomic conditional writes for replay protection, idempotency keys, and distributed leases, but expressing them as
get()followed byput()leaves a race. This adds an optional runtime-checkableAsyncPutIfAbsentProtocolso backends only advertise the capability when they can guarantee it.MemoryStoreimplements the operation under its collection lock, whileRedisStoremaps it to oneSET NXcommand with the normal managed-entry serialization and TTL behavior. Other stores remain unchanged.Closes #368