Add AWS S3 support for py-key-value #178
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📝 WalkthroughWalkthroughAdds an asynchronous S3-backed store (S3Store) with lifecycle, bucket auto-creation, byte-aware key sanitization and serialization, LocalStack-backed end-to-end tests, docs and dependency updates, byte-length truncation utilities, and related lint/build config changes. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant S3Store
participant aioboto3 as "aioboto3/S3Client"
participant S3
rect rgb(240,248,255)
User->>S3Store: async with S3Store(...)\n(__aenter__)
activate S3Store
S3Store->>S3Store: _connect() - create/attach client
S3Store->>aioboto3: create client/session (if needed)
S3Store->>S3: head_bucket(bucket)
alt bucket exists
S3->>S3Store: 200 OK
else bucket missing
S3Store->>S3: create_bucket(...)
S3->>S3Store: 200 Created
end
S3Store->>User: store ready
end
sequenceDiagram
participant User
participant S3Store
participant S3
User->>S3Store: await store.get(key, collection)
S3Store->>S3Store: _get_s3_key() (byte-aware sanitize)
S3Store->>S3: get_object(Key=formatted_key)
alt object found
S3->>S3Store: JSON body + metadata
S3Store->>S3Store: deserialize -> ManagedEntry
alt expired
S3Store->>S3: delete_object(Key=...)
S3->>S3Store: deleted
S3Store->>User: None
else valid
S3Store->>User: ManagedEntry
end
else not found
S3Store->>User: None
end
Possibly related PRs
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✅ Passed checks (2 passed)
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@claude please get this PR ready to merge |
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Claude finished @strawgate's task —— View job PR Ready to Merge ✅Successfully prepared PR #178 for merge! All code quality checks pass, tests run successfully, and the implementation follows the established patterns in the codebase. What Was DoneCode Quality Fixes:
All Checks Passing:
SonarQube AnalysisCode Duplication (31.6%):
This represents good design using template method and strategy patterns where each store specializes appropriately for its backend. The duplication is unavoidable and appropriate due to different storage semantics. Security Hotspots (4):
Changes CommittedAll fixes have been committed and pushed to the branch:
The PR is ready for review and merge! 🚀 | |
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@claude we refactored docs please fix merge conflicts and make sure this pr is ready to merge |
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README.md(3 hunks)key-value/key-value-aio/pyproject.toml(2 hunks)key-value/key-value-aio/src/key_value/aio/stores/s3/__init__.py(1 hunks)key-value/key-value-aio/src/key_value/aio/stores/s3/store.py(1 hunks)key-value/key-value-aio/tests/stores/dynamodb/test_dynamodb.py(3 hunks)key-value/key-value-aio/tests/stores/s3/__init__.py(1 hunks)key-value/key-value-aio/tests/stores/s3/test_s3.py(1 hunks)key-value/key-value-aio/tests/stores/vault/test_vault.py(1 hunks)key-value/key-value-sync/tests/code_gen/stores/vault/test_vault.py(1 hunks)pyproject.toml(1 hunks)scripts/build_sync_library.py(1 hunks)
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key-value/key-value-aio/tests/stores/s3/test_s3.py (2)
key-value/key-value-shared/src/key_value/shared/stores/wait.py (1)
async_wait_for_true(7-15)key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (1)
S3Store(27-324)
key-value/key-value-aio/src/key_value/aio/stores/s3/__init__.py (2)
key-value/key-value-aio/tests/stores/s3/test_s3.py (1)
store(72-100)key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (1)
S3Store(27-324)
key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (3)
key-value/key-value-shared/src/key_value/shared/utils/managed_entry.py (3)
ManagedEntry(14-123)from_json(120-123)to_json(69-79)key-value/key-value-sync/src/key_value/sync/code_gen/stores/base.py (7)
BaseContextManagerStore(368-384)BaseStore(58-345)_setup(108-109)_get_managed_entry(171-172)_delete_managed_entry(305-307)_put_managed_entry(241-243)_close(382-384)key-value/key-value-shared/src/key_value/shared/utils/time_to_live.py (1)
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🔇 Additional comments (20)
README.md (1)
11-11: LGTM! Documentation properly updated.The README additions appropriately document the new S3 backend:
- Listed among available backends
- Installation instruction provided
- Marked as "Unstable" in the distributed stores table, which is appropriate for a newly introduced backend
Also applies to: 125-125, 232-232
scripts/build_sync_library.py (1)
59-60: LGTM! S3 properly excluded from sync conversion.Excluding S3 store paths from synchronous code generation is appropriate, as the S3 backend is async-only (using aioboto3). This is consistent with the exclusions for DynamoDB and Memcached.
key-value/key-value-aio/src/key_value/aio/stores/s3/__init__.py (1)
1-5: LGTM! Standard package initialization.The S3 store package initialization follows the established pattern used by other store implementations in the project, with a clear public API export via
__all__.key-value/key-value-sync/tests/code_gen/stores/vault/test_vault.py (1)
1-3: Auto-generated file reflects source changes.This file is automatically generated from the async version. The removal of the
noqacomment on Line 17 correctly reflects the changes made to the source async test file.Also applies to: 17-17
key-value/key-value-aio/pyproject.toml (1)
44-44: Dependencies are acceptable with current lower bound specifications.The specified versions (aioboto3>=13.3.0 and types-aiobotocore-s3>=2.16.0) serve as appropriate lower bounds. aioboto3's latest stable version is 15.4.0 (Oct 18, 2025) and types-aiobotocore-s3's latest is 2.25.0 (Oct 11, 2025), but the use of
>=allows newer versions to be installed. This approach is standard for optional dependencies and provides necessary flexibility while maintaining compatibility.key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (8)
1-25: LGTM! Clean imports with proper dependency guards.The TYPE_CHECKING pattern for S3Client types and the import guard for aioboto3 are well-implemented.
27-60: LGTM! Excellent documentation.The class docstring provides clear examples covering all major use cases (default credentials, custom credentials, LocalStack testing).
68-143: LGTM! Well-designed overloaded constructors.The overloaded
__init__provides a clean API with two usage patterns: pre-configured client or credential-based initialization. The unified implementation correctly handles both cases.
145-159: LGTM! Correct context manager lifecycle.The implementation properly handles both initialization paths: it only closes the client if it was created internally (when both
_clientand_raw_clientare set), avoiding premature cleanup of user-provided clients.
160-174: LGTM! Good defensive guard.The
_connected_clientproperty ensures the client is available before operations, providing a clear error message if used incorrectly.
195-205: LGTM! Simple and correct key formatting.The S3 key format matches the documentation and is implemented cleanly.
248-285: LGTM! Clean serialization and metadata handling.The method correctly serializes the ManagedEntry to JSON and stores TTL information in object metadata for potential use by S3 lifecycle policies.
320-324: LGTM! Consistent cleanup logic.The
_closemethod correctly mirrors the__aexit__behavior, only closing the client if it was created internally.key-value/key-value-aio/tests/stores/s3/__init__.py (1)
1-1: LGTM! Standard test package initializer.The minimal docstring is appropriate for a test package
__init__.py.key-value/key-value-aio/tests/stores/s3/test_s3.py (6)
1-27: LGTM! Clean test configuration.The imports and configuration constants are well-organized. The LocalStack version list makes it easy to test against multiple versions in the future.
29-45: LGTM! Appropriate health check implementation.The
ping_s3function provides a simple connectivity check suitable for use with the wait utility. The broad exception handling is acceptable here since this is specifically a health check.
47-49: LGTM! Clear exception for startup failures.The custom exception provides a specific error type for LocalStack startup timeouts.
53-68: LGTM! Robust fixture for LocalStack setup.The session-scoped fixture correctly handles LocalStack container lifecycle with parameterized version testing and a reasonable startup timeout.
70-100: LGTM! Thorough pre-test cleanup.The store fixture ensures a clean testing state by removing any pre-existing bucket and objects. The broad exception suppression on line 90 is appropriate here since this is cleanup code that should not fail the test if the bucket doesn't exist.
106-108: LGTM! Appropriate test skip for distributed storage.Correctly skips the boundedness test since S3 is unbounded distributed storage. The
@overridedecorator properly documents that this overrides a base class test.
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Claude finished @strawgate's task —— View job PR Ready to Merge ✅Successfully resolved merge conflicts and addressed code review feedback! The PR has been rebased onto main and is ready for review and merge. What Was Done
Changes Made1. Merge Conflict Resolution
2. Code Quality Improvements
3. Verification
Commits in This PR
About SonarQube FindingsThe SonarQube quality gate shows:
The PR is ready for review and merge! 🚀 --- | |
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♻️ Duplicate comments (9)
key-value/key-value-aio/tests/stores/vault/test_vault.py (1)
16-16: LGTM! Lint suppression centralized.Removing the inline
noqacomment in favor of the centralized per-file ignore rule in the rootpyproject.tomlis a good refactoring practice.key-value/key-value-aio/tests/stores/dynamodb/test_dynamodb.py (1)
36-36: LGTM! Lint suppression centralized.Removing the inline
noqacomments in favor of the centralized per-file ignore rule in the rootpyproject.tomlimproves consistency across test files.Also applies to: 76-76, 85-85
pyproject.toml (1)
67-68: LGTM! Centralized test credential suppressions.Adding S105 and S106 to per-file ignores for test files is appropriate, as test suites commonly use hardcoded credentials for local/containerized services. This change improves consistency and maintainability.
key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (4)
62-62: Remove unused instance variable.The
_sessionvariable is declared but never assigned or used in the implementation. The session is created inline in__init__at line 133 but not stored.Apply this diff:
- _session: aioboto3.Session # pyright: ignore[reportAny] _bucket_name: str
185-194: Broad exception handling masks authentication and permission errors.The
except Exceptionon line 188 catches all exceptions when checking bucket existence, including authentication failures, permission errors, and network issues. These would be silently converted into bucket creation attempts, making debugging difficult.Consider catching
ClientErrorspecifically and inspecting the error code:+ from botocore.exceptions import ClientError + try: # Check if bucket exists await self._connected_client.head_bucket(Bucket=self._bucket_name) # pyright: ignore[reportUnknownMemberType] - except Exception: + except ClientError as e: + # Only proceed with bucket creation if it's a 404/NoSuchBucket error + error_code = e.response.get('Error', {}).get('Code', '') + if error_code not in ('404', 'NoSuchBucket'): + raise # Re-raise authentication, permission, or other non-404 errors # Bucket doesn't exist, create it import contextlib with contextlib.suppress(self._connected_client.exceptions.BucketAlreadyOwnedByYou): # pyright: ignore[reportUnknownMemberType] await self._connected_client.create_bucket(Bucket=self._bucket_name) # pyright: ignore[reportUnknownMemberType]This ensures authentication failures, permission errors, and other non-404 issues propagate rather than being silently converted to bucket creation attempts.
237-241: Use ManagedEntry.is_expired property for consistency.The ManagedEntry class already provides an
is_expiredproperty that encapsulates the expiration check using the sharednow()helper. Using this property improves consistency and maintainability.Apply this diff:
# Deserialize to ManagedEntry managed_entry = ManagedEntry.from_json(json_str=json_value) # Check for client-side expiration - if managed_entry.expires_at and managed_entry.expires_at <= datetime.now(tz=timezone.utc): + if managed_entry.is_expired: # Entry expired, delete it and return None await self._delete_managed_entry(key=key, collection=collection) return None
299-318: Refactor to catchClientErrorand check error code specifically.The broad
except Exceptionon line 309 is intended to handle cases wherehead_objectreturns a 404 without raisingNoSuchKey, but this could also mask other legitimate errors (network issues, permission problems).Replace lines 299-318 with:
+ from botocore.exceptions import ClientError + s3_key = self._get_s3_key(collection=collection, key=key) try: # Check if object exists before deletion await self._connected_client.head_object( # pyright: ignore[reportUnknownMemberType] Bucket=self._bucket_name, Key=s3_key, ) - except self._connected_client.exceptions.NoSuchKey: # pyright: ignore[reportUnknownMemberType, reportUnknownAttributeType] - # Object doesn't exist - return False - except Exception: - # For 404 errors that don't raise NoSuchKey exception + except ClientError as e: + # Check if it's a 404/not-found error + error_code = e.response.get('Error', {}).get('Code', '') + if error_code in ('404', 'NoSuchKey'): + return False + # Re-raise other errors (auth, network, throttling, etc.) + raise + except self._connected_client.exceptions.NoSuchKey: # pyright: ignore[reportUnknownMemberType, reportUnknownAttributeType] return False else: # Object exists, delete it await self._connected_client.delete_object( # pyright: ignore[reportUnknownMemberType] Bucket=self._bucket_name, Key=s3_key, ) return TrueThis prevents masking unexpected errors while still handling the known 404 case.
key-value/key-value-aio/tests/stores/s3/test_s3.py (2)
102-104: Remove redundant s3_store fixture.
It just returns store and is unused elsewhere.Apply:
- @pytest.fixture - async def s3_store(self, store: S3Store) -> S3Store: - return store +
81-100: Bucket cleanup — consider pagination (and versions) for safety.
For large buckets or versioned buckets, add pagination and optionally delete versions; harmless now but makes tests future-proof.Example tweak:
- response = await client.list_objects_v2(Bucket=S3_TEST_BUCKET) # type: ignore - if "Contents" in response: - for obj in response["Contents"]: # type: ignore - await client.delete_object(Bucket=S3_TEST_BUCKET, Key=obj["Key"]) # type: ignore + token = None + while True: + kw = {"Bucket": S3_TEST_BUCKET, "ContinuationToken": token} if token else {"Bucket": S3_TEST_BUCKET} + resp = await client.list_objects_v2(**kw) # type: ignore + for obj in resp.get("Contents", []): # type: ignore + await client.delete_object(Bucket=S3_TEST_BUCKET, Key=obj["Key"]) # type: ignore + if not resp.get("IsTruncated"): # type: ignore + break + token = resp.get("NextContinuationToken") # type: ignore
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README.md(3 hunks)key-value/key-value-aio/pyproject.toml(2 hunks)key-value/key-value-aio/src/key_value/aio/stores/s3/__init__.py(1 hunks)key-value/key-value-aio/src/key_value/aio/stores/s3/store.py(1 hunks)key-value/key-value-aio/tests/stores/dynamodb/test_dynamodb.py(3 hunks)key-value/key-value-aio/tests/stores/s3/__init__.py(1 hunks)key-value/key-value-aio/tests/stores/s3/test_s3.py(1 hunks)key-value/key-value-aio/tests/stores/vault/test_vault.py(1 hunks)key-value/key-value-sync/tests/code_gen/stores/vault/test_vault.py(1 hunks)pyproject.toml(1 hunks)scripts/build_sync_library.py(1 hunks)
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key-value/key-value-aio/tests/stores/s3/test_s3.py (2)
key-value/key-value-shared/src/key_value/shared/stores/wait.py (1)
async_wait_for_true(7-15)key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (1)
S3Store(27-324)
key-value/key-value-aio/src/key_value/aio/stores/s3/__init__.py (2)
key-value/key-value-aio/tests/stores/s3/test_s3.py (1)
store(72-100)key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (1)
S3Store(27-324)
key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (3)
key-value/key-value-shared/src/key_value/shared/utils/managed_entry.py (3)
ManagedEntry(14-141)from_json(138-141)to_json(69-79)key-value/key-value-sync/src/key_value/sync/code_gen/stores/base.py (7)
BaseContextManagerStore(368-384)BaseStore(58-345)_setup(108-109)_get_managed_entry(171-172)_delete_managed_entry(305-307)_put_managed_entry(241-243)_close(382-384)key-value/key-value-shared/src/key_value/shared/utils/time_to_live.py (1)
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🔇 Additional comments (11)
scripts/build_sync_library.py (1)
59-60: LGTM! S3 paths appropriately excluded from sync conversion.The exclusions align with existing patterns for async-only stores (DynamoDB, Memcached) and correctly prevent the S3 store from being processed by the async-to-sync conversion tooling.
key-value/key-value-sync/tests/code_gen/stores/vault/test_vault.py (1)
17-17: LGTM! Auto-generated file reflects source changes.This auto-generated file correctly mirrors the lint suppression removal from the async source file.
key-value/key-value-aio/tests/stores/s3/__init__.py (1)
1-1: LGTM! Standard test package initialization.The minimal docstring follows the pattern of other test modules in the codebase.
key-value/key-value-aio/src/key_value/aio/stores/s3/__init__.py (1)
1-5: LGTM! Standard package initialization.The module correctly exposes S3Store as the public API, following the pattern of other store packages in the codebase.
README.md (2)
19-21: S3 added to backends list — looks good.
Accurately reflects new backend support.
194-195: Distributed stores list updated with S3 — looks correct.
Matches the new backend.key-value/key-value-aio/pyproject.toml (2)
71-77: Dev extras include s3 — LGTM.
Keeps local dev parity across stores.
44-45: Proposed aioboto3 constraint is outdated; verify version strategy.The original proposal to constrain aioboto3 to
<14excludes the current latest stable version (v15.0.0, June 2025). The general concern about upper bounds is valid to reduce breaking surprises, but the specific constraint needs reconsideration:
- If accepting current releases: use
<16instead of<14- If pinning conservatively to v13.x: use
<14, but you'll miss v14 and v15 updatesFor types-aiobotocore-s3, the proposed
<3is reasonable (latest v2.25.0 stays within v2.x).Consider whether the goal is conservative pinning or gradual updates, then adjust the aioboto3 upper bound accordingly. Recent breaking changes in aioboto3 v15 dropped Python 3.8 support—verify your project's Python version compatibility.
key-value/key-value-aio/tests/stores/s3/test_s3.py (3)
29-45: Service readiness check — solid.
Ping via list_buckets is fine for readiness.
71-80: Store fixture setup — LGTM.
Uses endpoint and test creds; creation deferred to store._setup.Please ensure BaseStoreTests/ContextManagerStoreTestMixin enters the async context for S3Store. If not, convert this fixture to
async with S3Store(...) as store: yield store.
58-64: Review comment is factually incorrect; DynamoDB uses port 8000, not 4566.The S3 test uses LocalStack on port 4566, while the DynamoDB test uses a separate AWS DynamoDB Local service on port 8000. These are different services with no port collision. Since only the S3 test uses LocalStack in the async codebase, there is no actual port contention risk requiring serialization via
@pytest.mark.xdist_group. The stated concern about "e.g., DynamoDB" colliding on the same port is incorrect.Likely an incorrect or invalid review comment.
| pip install py-key-value-aio[s3] | ||
| pip install py-key-value-aio[elasticsearch] | ||
| # or: redis, mongodb, memcached, valkey, vault, registry, rocksdb, see below for all options | ||
| ``` |
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🧹 Nitpick | 🔵 Trivial
Install extra for S3 — suggest adding a minimal usage snippet.
Optional: add a short S3Store example right below to help users confirm setup quickly.
Example snippet to consider:
from key_value.aio.stores.s3 import S3Store
async with S3Store(bucket_name="my-bucket") as store:
await store.put(key="k", value={"v": 1}, collection="c", ttl=60)
assert await store.get(key="k", collection="c")🤖 Prompt for AI Agents
In README.md around lines 133 to 136, add a minimal S3 usage snippet immediately
below the pip install line for py-key-value-aio[s3]; include a short async
example that imports S3Store, opens it with a bucket_name (and mention
credentials are picked up from the environment), uses await store.put(...) to
write a key/value with collection and ttl, and uses await store.get(...) to
confirm the value; keep the snippet compact (show async context manager usage
and simple assertion) so users can quickly verify their S3 setup.
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@claude it looks like we need to take account of the collection/key name limitations can you review the limitations and ensure that we are properly accounting for them like we do for other stores? |
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Claude finished @strawgate's task —— View job S3 Key Length Limitations Fixed ✅Successfully implemented handling for S3's 1024-byte key length limit by hashing long collection and key names. What Was Done
Problem AnalysisS3 Key Length Limit: AWS S3 has a maximum key length of 1024 bytes (UTF-8 encoded). Test Failure: The
Solution ImplementedFollowing the pattern used by MongoDB store, I implemented automatic hashing for long names:
Code Changes# Added imports
from key_value.shared.utils.sanitize import hash_excess_length
# Added constants
MAX_COLLECTION_LENGTH = 500
MAX_KEY_LENGTH = 500
# Updated method
def _get_s3_key(self, *, collection: str, key: str) -> str:
"""Generate the S3 object key for a given collection and key.
S3 has a maximum key length of 1024 bytes. To ensure compliance, we hash
long collection or key names to stay within limits while maintaining uniqueness.
"""
safe_collection = hash_excess_length(collection, MAX_COLLECTION_LENGTH)
safe_key = hash_excess_length(key, MAX_KEY_LENGTH)
return f"{safe_collection}/{safe_key}"Verification
Why This Approach?The
The 500-byte limits provide a comfortable safety margin while allowing for reasonably long, human-readable collection and key names in typical use cases. Commit: |
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key-value/key-value-aio/src/key_value/aio/stores/s3/store.py(1 hunks)key-value/key-value-aio/tests/stores/s3/test_s3.py(1 hunks)
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key-value/key-value-aio/tests/stores/s3/test_s3.py (2)
key-value/key-value-shared/src/key_value/shared/stores/wait.py (1)
async_wait_for_true(7-15)key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (1)
S3Store(36-355)
key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (2)
key-value/key-value-shared/src/key_value/shared/utils/managed_entry.py (4)
ManagedEntry(14-141)from_json(138-141)is_expired(36-39)to_json(69-79)key-value/key-value-sync/src/key_value/sync/code_gen/stores/base.py (8)
BaseContextManagerStore(368-384)BaseStore(58-345)_setup(108-109)get(181-202)_get_managed_entry(171-172)_delete_managed_entry(305-307)_put_managed_entry(241-243)_close(382-384)
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🔇 Additional comments (9)
key-value/key-value-aio/tests/stores/s3/test_s3.py (2)
29-44: LGTM: Health check function is appropriate.The
ping_s3function correctly verifies LocalStack availability usinglist_buckets. The broad exception handling is acceptable for a boolean health check.
51-100: LGTM: Test fixtures are properly configured.The test class correctly inherits from the base test classes and fixtures are well-structured:
- LocalStack container is properly managed with session scope
- Store cleanup ensures a clean state before each test
- Configuration matches between
ping_s3andstorefixtureThe failing
test_long_collection_nametests mentioned in PR objectives are inherited fromBaseStoreTestsand the root cause is in theS3Storeimplementation's key length handling (see comments on store.py).key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (7)
76-151: LGTM: Constructor overloads and initialization logic are well-structured.The dual-path initialization (pre-configured client vs credentials) is properly implemented with clear type signatures. Client instantiation is correctly deferred to context manager entry.
153-181: LGTM: Context manager protocol correctly implemented.Entry and exit order is correct, and
_connected_clientproperty provides a clear guard against usage before connection.
183-211: LGTM: Bucket setup with proper error handling.Based on past review comment resolution, the setup method now correctly distinguishes between bucket-not-found (creates bucket) and other errors (authentication, permissions) which are properly re-raised. The
BucketAlreadyOwnedByYouexception is appropriately suppressed during creation.
232-271: LGTM: Entry retrieval with proper TTL enforcement.The method correctly:
- Fetches and deserializes the ManagedEntry
- Uses the
is_expiredproperty for consistency (as addressed in past review)- Deletes expired entries automatically
- Handles missing keys gracefully
273-309: LGTM: Entry storage with proper metadata.The method correctly serializes ManagedEntry to JSON, sets appropriate ContentType, and includes TTL metadata for potential S3 lifecycle policy integration.
311-349: LGTM: Deletion with proper existence checking.Based on past review comment resolution, the method now correctly catches
ClientErrorand distinguishes 404/not-found (returns False) from other errors (re-raises). The two-step check-then-delete pattern ensures accurate return values.
351-355: LGTM: Cleanup correctly closes managed client.The method properly closes the client only when it was created internally (when
_raw_clientis not None).
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@claude we did some refactoring on main can you update this PR accordingly? |
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Claude finished @strawgate's task —— View job PR Updated for Main Branch Refactoring ✅Successfully updated this PR to account for the serialization refactoring done on main branch. Tasks Completed
AnalysisThe main branch received a significant refactoring in PR #184 "Refactor ManagedEntry serialization with adapter pattern" (commits
Changes MadeUpdated S3Store (
Verification
CommitCommitted and pushed changes:
The PR is now compatible with the latest main branch refactoring and ready for review! 🚀 |
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ManagedEntry(15-63)is_expired(29-32)key-value/key-value-sync/src/key_value/sync/code_gen/stores/base.py (8)
BaseContextManagerStore(378-394)BaseStore(59-355)_setup(120-121)get(193-214)_get_managed_entry(183-184)_delete_managed_entry(315-317)_put_managed_entry(253-255)_close(392-394)key-value/key-value-shared/src/key_value/shared/utils/serialization.py (2)
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@claude should we add new sanitation functions or a new arg for byte-based truncation in the existing sanitizers? |
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Claude finished @strawgate's task —— View job Analysis: Sanitization Approach for Byte-Based TruncationContextThe issue stems from CodeRabbit's review identifying that S3's 1024-byte key limit is being enforced with character-based truncation, which fails for multi-byte UTF-8 characters. Currently:
Current State AnalysisExisting sanitization functions:
How other stores handle length limits:
The ProblemAll existing stores that claim to enforce "byte limits" are actually enforcing character limits. This is a latent bug that affects:
This only manifests as a real issue when:
Recommendation: Add New Byte-Based FunctionsI recommend creating new byte-aware sanitization functions rather than adding parameters to existing ones. Here's why: Why New Functions (Not Parameters)Pros of new functions:
Cons of new functions:
Cons of parameters:
Proposed API# New functions in sanitize.py
def sanitize_string_bytes(
value: str,
max_bytes: int, # Clear: this is a byte limit
allowed_characters: str | None = None,
replacement_character: str = DEFAULT_REPLACEMENT_CHARACTER,
hash_fragment_separator: str = DEFAULT_HASH_FRAGMENT_SEPARATOR,
hash_fragment_mode: HashFragmentMode = HashFragmentMode.ONLY_IF_CHANGED,
hash_fragment_length: int = DEFAULT_HASH_FRAGMENT_SIZE,
encoding: str = "utf-8",
) -> str:
"""Sanitize with byte-length limits (for S3, MongoDB, etc.)."""
# Implementation handles UTF-8 encoding and byte-based truncation
...
def hash_excess_length_bytes(
value: str,
max_bytes: int,
encoding: str = "utf-8"
) -> str:
"""Hash part of value if it exceeds max bytes when encoded."""
# Simpler version for stores that just need byte-aware truncation
...Implementation Strategy
Example Usage in S3Store# Before (broken):
MAX_COLLECTION_LENGTH = 500 # Characters, not bytes!
safe_collection = hash_excess_length(collection, MAX_COLLECTION_LENGTH)
# After (correct):
MAX_COLLECTION_BYTES = 500
safe_collection = hash_excess_length_bytes(collection, MAX_COLLECTION_BYTES)Migration Path
Alternative: S3-Specific SolutionIf you want to minimize changes, you could implement a fallback in def _get_s3_key(self, *, collection: str, key: str) -> str:
safe_collection = hash_excess_length(collection, MAX_COLLECTION_LENGTH)
safe_key = hash_excess_length(key, MAX_KEY_LENGTH)
combined_key = f"{safe_collection}/{safe_key}"
# Fallback: if byte length exceeds limit, hash both components
if len(combined_key.encode('utf-8')) > 1024:
import hashlib
safe_collection = hashlib.sha256(collection.encode()).hexdigest()[:64]
safe_key = hashlib.sha256(key.encode()).hexdigest()[:64]
combined_key = f"{safe_collection}/{safe_key}"
return combined_keyPros: Quick fix, isolated to S3Store
My RecommendationCreate new byte-based sanitization functions (
The code duplication is minimal and worth the clarity and type safety benefits. Let me know which approach you'd like to proceed with, and I can implement it! |
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@claude sanitize_string(length_is_bytes=True) is pretty clear to me actually, let's just do that |
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Claude finished @strawgate's task —— View job Byte-Based Sanitization Implementation Complete ✅Successfully added Tasks Completed
Implementation SummaryThe Problem: The Solution:
Example: # Before: 500 emoji characters = ~2000 bytes (KeyTooLongError!)
# After: Safely truncates to fit within 500 bytes
safe_collection = hash_excess_length("🎉" * 500, 500, length_is_bytes=True)This ensures S3 keys stay within the 1024-byte limit even with multi-byte UTF-8 characters, fixing the failing Changes MadeModified Files:
Commit: --- | Branch |
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⚠️ Outside diff range comments (1)
key-value/key-value-shared/src/key_value/shared/utils/sanitize.py (1)
126-127: Critical: Hash fragment size calculation must account for byte length whenlength_is_bytes=True.Line 127 calculates
hash_fragment_size_requiredusing character length (len()), but whenlength_is_bytes=True, the separator may be multi-byte (e.g., em dash "—" is 3 bytes in UTF-8, not 1). This causes under-reservation of space, and the final concatenated result (sanitized_value + separator + hash) can exceedmax_lengthin bytes, defeating the purpose of byte-aware sanitization.For S3 use cases, this would still trigger
KeyTooLongErroreven after sanitization.Apply this diff:
hash_fragment: str = generate_hash_fragment(value=value, size=hash_fragment_length) - hash_fragment_size_required: int = len(hash_fragment_separator) + len(hash_fragment) + if length_is_bytes: + hash_fragment_size_required: int = len((hash_fragment_separator + hash_fragment).encode("utf-8")) + else: + hash_fragment_size_required: int = len(hash_fragment_separator) + len(hash_fragment) sanitized_value: str = (Also applies to: 137-144, 146-158
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key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (4)
key-value/key-value-shared/src/key_value/shared/utils/managed_entry.py (2)
ManagedEntry(15-63)is_expired(29-32)key-value/key-value-shared/src/key_value/shared/utils/sanitize.py (1)
hash_excess_length(167-195)key-value/key-value-sync/src/key_value/sync/code_gen/stores/base.py (6)
BaseStore(59-355)_setup(120-121)get(193-214)_get_managed_entry(183-184)_delete_managed_entry(315-317)_put_managed_entry(253-255)key-value/key-value-shared/src/key_value/shared/utils/serialization.py (2)
load_json(52-56)dump_json(131-136)
🔇 Additional comments (10)
key-value/key-value-shared/src/key_value/shared/utils/sanitize.py (2)
62-90: Binary search algorithm is correct and handles multi-byte characters safely.The implementation correctly uses binary search to find the longest substring that fits within the byte limit without splitting multi-byte UTF-8 characters. Edge cases (empty string, already-fitting string, zero-byte limit) are handled properly.
167-195: Byte-aware truncation logic is correct.The function properly checks whether truncation is needed using byte or character length, reserves exactly 8 bytes for the hash fragment (since hex digits are ASCII), and uses
_truncate_to_byteswhenlength_is_bytes=True. The final result correctly stays withinmax_length.key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (8)
16-20: LGTM: Byte-based length limits properly configured.The constants are correctly set to 500 bytes each, and when combined with the "/" separator (1 byte), the maximum S3 key length is 1001 bytes—well within the 1024-byte limit. The subsequent usage at lines 228-229 with
length_is_bytes=Trueensures proper byte-aware truncation, addressing the KeyTooLongError test failures mentioned in the PR objectives.
76-151: LGTM: Clean initialization with proper overloads.The constructor properly handles both pre-configured clients and credential-based initialization. The overloads provide clear type hints for different usage patterns, and the implementation correctly defers client entry to the context manager lifecycle.
153-167: LGTM: Proper context manager lifecycle.The implementation correctly handles both externally-provided and internally-created clients. The cleanup order in
__aexit__(base class first, then client) is appropriate.
213-230: LGTM: Byte-aware key generation resolves KeyTooLongError.The implementation correctly uses
length_is_bytes=Truewhen callinghash_excess_length, ensuring proper UTF-8 byte-based truncation instead of character-based truncation. This directly addresses the KeyTooLongError test failures mentioned in the PR objectives fortest_long_collection_name.
232-272: LGTM: Proper TTL checking and exception handling.The method correctly uses
managed_entry.is_expired(line 263) for consistency with the sharednow()helper, and catches the specificNoSuchKeyexception (line 269) rather than using broad exception handling.
273-309: LGTM: Proper serialization and metadata handling.The method correctly serializes the ManagedEntry to JSON and stores TTL information in S3 object metadata using ISO format timestamps, which are safe for S3 metadata constraints.
311-349: LGTM: Specific exception handling prevents error masking.The implementation correctly catches
ClientErrorspecifically and checks error codes to distinguish 404/NoSuchKey from authentication, permission, or network errors, ensuring those errors are properly propagated.
351-355: LGTM: Proper client cleanup.The method correctly closes only internally-created clients, avoiding closing externally-provided clients.
| if not self._client and self._raw_client: | ||
| self._client = await self._raw_client.__aenter__() |
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🧹 Nitpick | 🔵 Trivial
Consider documenting the dual client-entry pattern.
The logic at lines 190-191 duplicates client entry from __aenter__ (line 156) to support non-context-manager usage where _setup() is called before __aenter__(). While necessary, this dual-entry pattern could be confusing.
Consider adding a brief inline comment:
+ # Enter client if not already entered (supports non-context-manager usage)
if not self._client and self._raw_client:
self._client = await self._raw_client.__aenter__()🤖 Prompt for AI Agents
In key-value/key-value-aio/src/key_value/aio/stores/s3/store.py around lines
190-191 (and reference __aenter__ at ~line 156), the dual client-entry pattern
(calling _raw_client.__aenter__ in both _setup() and __aenter__()) is necessary
but confusing; add a concise inline comment above the conditional at lines
190-191 that explains why we guard with "if not self._client and
self._raw_client" (to support non-context-manager usage where _setup() may be
called before __aenter__(), avoiding double-enter) and note that __aexit__ is
still responsible for cleanup so double-enter is prevented by the guard.
| ) -> None: | ||
| await super().__aexit__(exc_type, exc_value, traceback) | ||
| if self._client and self._raw_client: | ||
| await self._client.__aexit__(exc_type, exc_value, traceback) |
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dont we need to delete the client here?
| # Check for client-side expiration | ||
| if managed_entry.is_expired: | ||
| # Entry expired, delete it and return None | ||
| await self._delete_managed_entry(key=key, collection=collection) |
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don't delete expired objects
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@claude let's also fix the other stores that need byte based sanitization and let's resolve the latest merge conflicts |
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Claude finished @strawgate's task —— View job Byte-Based Sanitization and Merge Conflicts Fixed ✅Successfully resolved merge conflicts from main and added byte-based sanitization to stores that need it! What Was Done1. Resolved Merge Conflicts
2. Fixed Stores with Byte-Based Length Limits
3. Code Quality
Technical DetailsThe Problem:
Using character-based truncation ( The Solution:
Commits in This PR
Files Changed
The PR is now fully updated with the latest main branch changes and ready for review! 🚀 |
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@claude should we do s3 or awss3 or aws_s3? |
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Claude finished @strawgate's task —— View job Naming Convention Analysis
Recommendation: Use
|
| Service | Directory Name | PyPI Extra | Import Path |
|---|---|---|---|
| AWS DynamoDB | dynamodb/ |
[dynamodb] |
from key_value.aio.stores.dynamodb |
| AWS S3 | s3/ |
[s3] |
from key_value.aio.stores.s3 |
| MongoDB | mongodb/ |
[mongodb] |
from key_value.aio.stores.mongodb |
| Elasticsearch | elasticsearch/ |
[elasticsearch] |
from key_value.aio.stores.elasticsearch |
| Redis | redis/ |
[redis] |
from key_value.aio.stores.redis |
Current Implementation Already Uses s3
Your PR already correctly uses s3 everywhere:
- ✅ Directory:
key-value/key-value-aio/src/key_value/aio/stores/s3/ - ✅ PyPI extra:
pip install py-key-value-aio[s3](line 134 in README) - ✅ Import:
from key_value.aio.stores.s3 import S3Store - ✅ Optional dependency:
s3 = ["aioboto3>=13.3.0", ...](pyproject.toml:44)
Why Not awss3?
- Breaks existing pattern: DynamoDB is already
dynamodb, notawsdynamodb - Vendor prefix unnecessary: The service name "S3" is uniquely associated with AWS (like DynamoDB)
- Import clarity: Users write
from key_value.aio.stores.s3, which is cleaner thanfrom key_value.aio.stores.awss3 - Documentation consistency: All distributed stores in
docs/stores.mduse service names: DynamoDB, MongoDB, Elasticsearch, etc.
Conclusion
Stick with s3 - it's already the right choice and matches the established naming convention perfectly. No changes needed! 🎉
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@claude can you address my feedback? |
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Claude finished @strawgate's task —— View job Review Feedback Addressed ✅Successfully addressed all review feedback from @strawgate. Tasks Completed
Changes Made1. Client Cleanup (lines 166-167)
2. Expired Objects (line 265)
Verification
Note: There are pre-existing type errors in the Redis store (sync version) that are unrelated to this PR's changes. Commit: |
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key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (4)
key-value/key-value-shared/src/key_value/shared/utils/managed_entry.py (2)
ManagedEntry(15-63)is_expired(29-32)key-value/key-value-shared/src/key_value/shared/utils/sanitize.py (1)
hash_excess_length(171-199)key-value/key-value-sync/src/key_value/sync/code_gen/stores/base.py (8)
BaseContextManagerStore(378-394)BaseStore(59-355)_setup(120-121)get(193-214)_get_managed_entry(183-184)_put_managed_entry(253-255)_delete_managed_entry(315-317)_close(392-394)key-value/key-value-shared/src/key_value/shared/utils/serialization.py (2)
load_json(55-59)dump_json(134-139)
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@claude can you please review this feedback and address if necessary? |
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Claude finished @strawgate's task —— View job Review Feedback Addressed ✅Successfully reviewed and addressed CodeRabbit feedback for the S3 store implementation. Tasks Completed
Changes Made1. Fix Streaming Body Closure (line 257)
2. Fix Regional Bucket Creation (line 209)
3. @strawgate Feedback
Verification
Note: Pre-existing type errors in Redis store (sync version) are unrelated to this PR. Commit: |
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♻️ Duplicate comments (1)
key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (1)
191-192: Optional: Document the dual-entry pattern.These lines support non-context-manager usage where
_setup()is called before__aenter__(). Consider adding a brief comment:+ # Enter client if not already entered (supports non-context-manager usage) if not self._client and self._raw_client: self._client = await self._raw_client.__aenter__()
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key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (4)
key-value/key-value-shared/src/key_value/shared/utils/managed_entry.py (2)
ManagedEntry(15-63)is_expired(29-32)key-value/key-value-shared/src/key_value/shared/utils/sanitize.py (1)
hash_excess_length(171-199)key-value/key-value-sync/src/key_value/sync/code_gen/stores/base.py (8)
BaseContextManagerStore(378-394)BaseStore(59-355)_setup(120-121)get(193-214)_get_managed_entry(183-184)_put_managed_entry(253-255)_delete_managed_entry(315-317)_close(392-394)key-value/key-value-shared/src/key_value/shared/utils/serialization.py (2)
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🔇 Additional comments (7)
key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (7)
16-20: LGTM: Byte-based length limits correctly address KeyTooLongError.The constants are now properly used with
length_is_bytes=Truein_get_s3_key(lines 240-241), which correctly enforces S3's 1024-byte key limit and resolves the test failures mentioned in the PR objectives.
110-151: LGTM: Dual initialization paths correctly handle pre-configured client vs. credentials.The implementation correctly distinguishes between the two initialization modes and properly sets up the internal state for both cases.
184-223: LGTM: Exception handling and region-specific bucket creation correctly implemented.The method properly:
- Catches specific
ClientErrorand inspects error codes (addressing past review feedback)- Handles region-specific
LocationConstraintfor non-us-east-1 regions- Skips
LocationConstraintfor custom endpoints (LocalStack/MinIO compatibility)- Suppresses only the specific
BucketAlreadyOwnedByYouexception
225-242: LGTM: Byte-aware key generation correctly prevents KeyTooLongError.The method correctly uses
length_is_bytes=True(lines 240-241) to enforce byte-length limits, ensuring the combined S3 key stays under the 1024-byte limit. This directly addresses the test failures mentioned in the PR objectives.
244-283: LGTM: Entry retrieval correctly handles expiration and streaming body lifecycle.The method properly:
- Uses
async withto ensure the streaming body is closed (lines 268-270)- Uses
managed_entry.is_expiredproperty for consistency (line 276)- Returns
Nonefor expired entries without deletion (line 278), as requested in the comments
285-321: LGTM: Entry storage correctly serializes and stores TTL metadata.The method properly serializes the
ManagedEntryto JSON, stores TTL information in S3 object metadata, and sets appropriate content type.
323-361: LGTM: Deletion correctly handles missing objects and specific exceptions.The method properly:
- Catches specific
ClientErrorand inspects error codes (lines 345-348)- Returns
Falsefor non-existent objects without raising (line 352)- Re-raises authentication and network errors (line 354)
- Uses try-except-else to only delete when object exists (lines 355-361)
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@claude please fix merge conflicts |
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Claude finished @strawgate's task —— View job Merge Conflicts Fixed ✅
SummarySuccessfully resolved merge conflicts and updated the PR to be based on the new main branch. Problem: The main branch was completely reset with PR #208 (feat: Add SanitizationStrategy), which introduced a new sanitization strategy pattern. The PR branch was based on an old version of main. Solution:
Changes pushed to |
This commit implements a new S3Store that uses AWS S3 as a distributed
key-value storage backend. The implementation follows the established
pattern from other distributed stores (DynamoDB, MongoDB) and provides:
- S3Store class for async operations using aioboto3
- Client-side TTL expiration checking (S3 lifecycle policies don't
support atomic TTL+retrieval)
- Comprehensive test suite with LocalStack integration
- Auto-generated sync library support
- Documentation updates in README
The store uses S3 objects with path format {collection}/{key} and
serializes ManagedEntry objects to JSON. TTL metadata is stored in
S3 object metadata and checked during retrieval operations.
Resolves #161
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: William Easton <strawgate@users.noreply.github.com>
- Add S105 and S106 to ignored linting rules for test files (hardcoded test credentials) - Exclude S3Store from sync library generation (uses aioboto3 which is async-only) - Fix contextlib.suppress usage in S3 test file for proper async context handling - Remove generated sync S3 files S3Store follows the same pattern as DynamoDBStore - it's async-only because aioboto3 doesn't have a direct sync equivalent. The README correctly indicates S3 as async-only. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: William Easton <strawgate@users.noreply.github.com>
- Remove unused _session instance variable - Improve exception handling to use ClientError and check error codes - Use ManagedEntry.is_expired property for consistency - Remove redundant s3_store fixture - Add HTTP_NOT_FOUND constant to avoid magic numbers - Add type ignores for boto response types Co-authored-by: William Easton <strawgate@users.noreply.github.com>
S3 has a maximum key length of 1024 bytes. This fix ensures that long collection or key names are automatically hashed when they exceed safe limits (500 bytes each), keeping the total S3 key under 1024 bytes while maintaining uniqueness through hash suffixes. - Import hash_excess_length utility from key_value.shared.utils.sanitize - Add MAX_COLLECTION_LENGTH and MAX_KEY_LENGTH constants (500 bytes each) - Update _get_s3_key() to hash collection and key names if they exceed limits - Follows the same pattern used by MongoDB store for handling long names Fixes test_long_collection_name test which was failing with KeyTooLongError. Co-authored-by: William Easton <strawgate@users.noreply.github.com>
Adapt S3Store to match the serialization refactoring from PR #184: - Replace ManagedEntry.from_json() with self._serialization_adapter.load_json() - Replace managed_entry.to_json() with self._serialization_adapter.dump_json() - Leverage BasicSerializationAdapter automatically initialized by BaseStore Co-authored-by: William Easton <strawgate@users.noreply.github.com>
…s_length - Add _truncate_to_bytes() helper that uses binary search to safely truncate strings at byte boundaries without splitting multi-byte UTF-8 characters - Add length_is_bytes parameter to sanitize_string() and hash_excess_length() to support byte-based length limits - Update S3Store to use length_is_bytes=True for proper S3 key length handling - Fixes KeyTooLongError when using multi-byte characters (emoji, CJK, etc.) This ensures S3 keys stay within the 1024-byte limit even with multi-byte UTF-8 characters. Co-authored-by: William Easton <strawgate@users.noreply.github.com>
- Add explicit client cleanup (set _client = None after __aexit__) - Remove deletion of expired objects during retrieval - Update both __aexit__ and _close for consistency Co-authored-by: William Easton <strawgate@users.noreply.github.com>
- Close streaming body properly to prevent connection leaks - Add regional bucket creation support for non-us-east-1 regions Co-authored-by: William Easton <strawgate@users.noreply.github.com>
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@claude we've done a big refactor on main including not sanitizing collections and keys by default, please refactor to match and get this PR ready to merge |
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Claude finished @strawgate's task —— View job S3 PR Refactored to Match Main Branch ✅Successfully refactored this PR to align with the big refactor on main (including not sanitizing collections/keys by default). Tasks
Summary of ChangesMain Branch Refactor Context The main branch introduced a SanitizationStrategy pattern (PR #208, #210) where:
S3 Store Refactoring
Quality Checks
Migration Notes for UsersBefore (old automatic sanitization): async with S3Store(bucket_name="my-bucket") as store:
# Keys/collections were automatically hashed if too long
await store.put(key="x" * 1000, value={"data": "test"})After (opt-in sanitization): from key_value.aio.stores.s3 import (
S3Store,
S3KeySanitizationStrategy,
S3CollectionSanitizationStrategy,
)
async with S3Store(
bucket_name="my-bucket",
key_sanitization_strategy=S3KeySanitizationStrategy(),
collection_sanitization_strategy=S3CollectionSanitizationStrategy(),
) as store:
# Now sanitization is explicit and opt-in
await store.put(key="x" * 1000, value={"data": "test"})This breaking change is intentional and aligns with the project's new design philosophy: stores should not modify user input by default. |
- Add S3KeySanitizationStrategy and S3CollectionSanitizationStrategy classes - Remove automatic sanitization from _get_s3_key() - Add collection_sanitization_strategy and key_sanitization_strategy parameters to S3Store - Update S3Store to use BaseStore's _sanitize_collection_and_key() method - By default, collections/keys are not sanitized (matches new main pattern) - Update tests to use sanitization strategies - Update documentation to explain when/why to use strategies This aligns with the main branch refactor where stores no longer sanitize collections and keys by default, making sanitization opt-in via strategy parameters. Co-authored-by: William Easton <strawgate@users.noreply.github.com>
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📒 Files selected for processing (3)
key-value/key-value-aio/src/key_value/aio/stores/s3/__init__.py(1 hunks)key-value/key-value-aio/src/key_value/aio/stores/s3/store.py(1 hunks)key-value/key-value-aio/tests/stores/s3/test_s3.py(1 hunks)
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🧬 Code graph analysis (3)
key-value/key-value-aio/tests/stores/s3/test_s3.py (2)
key-value/key-value-shared/src/key_value/shared/stores/wait.py (1)
async_wait_for_true(7-15)key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (3)
S3Store(86-456)S3CollectionSanitizationStrategy(70-83)S3KeySanitizationStrategy(37-67)
key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (5)
key-value/key-value-shared/src/key_value/shared/utils/managed_entry.py (2)
ManagedEntry(15-63)is_expired(29-32)key-value/key-value-shared/src/key_value/shared/utils/sanitization.py (1)
SanitizationStrategy(33-78)key-value/key-value-shared/src/key_value/shared/utils/sanitize.py (1)
hash_excess_length(171-199)key-value/key-value-sync/src/key_value/sync/code_gen/stores/base.py (9)
BaseContextManagerStore(399-415)BaseStore(60-376)_setup(130-131)get(214-235)_sanitize_collection_and_key(136-137)_get_managed_entry(204-205)_put_managed_entry(274-276)_delete_managed_entry(336-338)_close(413-415)key-value/key-value-shared/src/key_value/shared/utils/serialization.py (2)
load_json(55-59)dump_json(134-139)
key-value/key-value-aio/src/key_value/aio/stores/s3/__init__.py (1)
key-value/key-value-aio/src/key_value/aio/stores/s3/store.py (3)
S3CollectionSanitizationStrategy(70-83)S3KeySanitizationStrategy(37-67)S3Store(86-456)
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| async def _disconnect(self) -> None: | ||
| if self._client is not None: | ||
| await self._client.__aexit__(None, None, None) | ||
| self._client = None |
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Do not close caller-provided S3 clients
_disconnect always calls await self._client.__aexit__(...), so when a caller supplies their own already-entered client (the documented overload), we end up tearing that client down behind their back. This breaks the caller’s lifecycle management and can trigger double-closing in typical async with session.client(...) usage.
Track whether the store owns the client and only call __aexit__ when we created it ourselves. For example:
@@
- if client:
- self._client = client
- self._raw_client = None
- else:
+ if client:
+ self._client = client
+ self._raw_client = None
+ self._owns_client = False
+ else:
session: Session = aioboto3.Session(
region_name=region_name,
aws_access_key_id=aws_access_key_id,
aws_secret_access_key=aws_secret_access_key,
aws_session_token=aws_session_token,
)
@@
self._raw_client = session.client(service_name="s3", endpoint_url=endpoint_url) # pyright: ignore[reportUnknownMemberType]
- self._client = None
+ self._client = None
+ self._owns_client = True
@@
- if self._client is not None:
- await self._client.__aexit__(None, None, None)
- self._client = None
+ if self._client is not None:
+ if getattr(self, "_owns_client", False):
+ await self._client.__aexit__(None, None, None)
+ self._client = NoneCommittable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents
In key-value/key-value-aio/src/key_value/aio/stores/s3/store.py around lines 244
to 247, the _disconnect method always calls await self._client.__aexit__(...),
which will close caller-provided clients; fix by adding and maintaining an
ownership flag (e.g., self._owns_client) set true when the store creates the
client and false when a caller supplies it, then in _disconnect only call await
self._client.__aexit__(...) and clear self._client when self._client is not None
AND self._owns_client is True; ensure ownership is correctly set at client
creation/assignment and reset when disconnecting.
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@claude shouldnt we set the expectation that once you pass us a client we own it? and that the client you pass shouldnt be entered yet? or what do you think? |
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Claude finished @strawgate's task —— View job Client Ownership Analysis
Current State AnalysisLooking at the three AWS-based stores in the codebase, there's inconsistent behavior around client lifecycle management: S3Store (this PR)
DynamoDBStore
MongoDBStore
The Core QuestionYou asked: "shouldn't we set the expectation that once you pass us a client we own it? and that the client you pass shouldn't be entered yet?" My Recommendation: Take Ownership ✅Yes, I believe you should take ownership. Here's why: Arguments FOR Taking Ownership
Arguments AGAINST Taking Ownership
My Proposal: Take Ownership with Clear DocumentationChange the expectation to: "Pass us an unentered client, and we'll manage its entire lifecycle" Update the docstring at line 154 from: """You must have entered the context manager before passing this in."""To: """Pass an unentered client. The store will manage its lifecycle (enter and exit)."""Implementation changes needed:
Updated pattern: # Caller provides UNENTERED client
session = aioboto3.Session(...)
raw_client = session.client("s3") # NOT entered yet
async with S3Store(client=raw_client, bucket_name="my-bucket") as store:
# Store enters and exits the client
await store.put(...)Alternative: Add an Ownership FlagIf you want maximum flexibility, add an def __init__(
self,
*,
client: S3Client | None = None,
owns_client: bool = True, # NEW
bucket_name: str,
...
) -> None:But honestly, this adds complexity for a use case that's rare. I'd stick with simple ownership. Bottom LineYes, take ownership. It's simpler, matches your other stores, and follows common Python patterns. Just document it clearly: "Pass us an unentered client; we'll manage its lifecycle." The CodeRabbit review correctly identified that you're currently taking ownership even though the docs suggest otherwise - the fix is to clarify the docs and adjust the implementation to cleanly take ownership, not to add complex ownership tracking. |
Test Failure AnalysisSummary: S3 store tests are timing out after 60 seconds due to a pytest fixture configuration issue. Root Cause: The Suggested Solution: Change the fixture scope from Required Change:
Detailed AnalysisTest Failure LogsThe test suite shows 5 S3 tests timing out after 60 seconds: All other tests (3228 tests) passed successfully. Pytest Fixture Scope RulesFrom pytest documentation:
Why This HappenedThe fixture appears to have been copied from other store tests (like DynamoDB, MongoDB, Elasticsearch) which define their session-scoped fixtures at module level. When adapting it for the S3 store inside the test class, the scope wasn't updated to Similar Patterns in CodebaseLooking at other stores:
The S3 test should follow the same pattern as other stores OR use Related FilesFiles That Need Modification
Reference Files
Alternative Solution: Move the |
Test Failure AnalysisSummary: S3 store tests are still timing out after 60 seconds despite increasing the wait time to 30 seconds. The root cause is a pytest fixture scope configuration error, not a container startup timing issue. Root Cause: The Why Increasing Wait Time Didn't Fix It: The fixture is hanging during pytest's fixture resolution phase, before it even attempts to start the LocalStack container. The 60-second timeout is coming from pytest-timeout killing the entire test, not from the S3 wait timeout. You can see in the logs that the container actually starts successfully: But then the test hangs at: Suggested Solution: Change line 53 from: @pytest.fixture(autouse=True, scope="session", params=LOCALSTACK_VERSIONS_TO_TEST)To either: @pytest.fixture(autouse=True, scope="class", params=LOCALSTACK_VERSIONS_TO_TEST)Or move the fixture outside the class to module level (like DynamoDB and MongoDB tests do) and keep Why This Will Work: Pytest does not support session-scoped fixtures defined inside test classes. When you try to use one, pytest's fixture resolution mechanism gets stuck trying to resolve the scope conflict, causing an infinite hang. Using Error LogsRelated Files
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Summary
This PR implements AWS S3 support as a distributed key-value storage backend for py-key-value.
Changes
Implementation Details
The S3Store follows the established pattern from DynamoDB and MongoDB stores:
{collection}/{key}Testing
Resolves #161
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New Features
Documentation
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