feat(storage): add object contexts in Python GCS SDK#17039
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Implement object contexts feature parity with Go and Java SDKs. Allows users to attach custom key-value metadata payloads to objects and filter by them during list operations. - Define ObjectCustomContextPayload and ObjectContexts classes in blob.py. - Add 'contexts' property to Blob class and include it in _WRITABLE_FIELDS. - Update list_blobs in Client and Bucket to support 'filter_' parameter. - Implement gRPC conversion logic and update_mask generation in _grpc_conversions.py. - Add comprehensive unit tests. Co-authored-by: nidhiii-27 <224584462+nidhiii-27@users.noreply.github.com>
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Code Review
This pull request introduces support for object contexts in the Google Cloud Storage Python SDK, adding the ObjectContexts and ObjectCustomContextPayload classes and a contexts property to the Blob class. It also implements server-side filtering for list_blobs via a new filter_ parameter. Feedback focuses on improving the robustness of protobuf conversions by checking for field presence rather than truthiness, ensuring FieldMask generation for contexts replaces the entire map for consistency with other SDK fields, and hardening the custom context setter to handle None values.
| value = getattr(proto, proto_field, None) | ||
| if value: | ||
| blob._properties[attr_name] = value |
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Using if value: to check for field presence in a protobuf message is problematic because it will skip falsy but valid values such as 0, False, or an empty string "". For proto-plus messages, it is more accurate to check for presence using the in operator.
| value = getattr(proto, proto_field, None) | |
| if value: | |
| blob._properties[attr_name] = value | |
| if proto_field in proto: | |
| blob._properties[attr_name] = getattr(proto, proto_field) |
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@jules change the if condition as mentioned above
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Changed the condition to if "custom_time" in proto: as suggested.
| if change == "contexts": | ||
| contexts = getattr(blob, "contexts", None) | ||
| if contexts is None or not contexts.custom: | ||
| paths.append("contexts.custom") | ||
| else: | ||
| for key in contexts.custom: | ||
| paths.append(f"contexts.custom.{key}") |
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The current logic for generating the FieldMask for contexts uses individual keys for partial updates if the map is non-empty. However, this behavior is inconsistent with how other map fields (like metadata) are handled in the Python SDK, where the entire map is typically replaced to ensure the local state is synchronized with the server. Using individual keys prevents the deletion of keys that are present on the server but missing from the local blob.contexts.custom dictionary during a patch() operation. It is safer and more consistent to use contexts.custom as the path to replace the entire map.
| if change == "contexts": | |
| contexts = getattr(blob, "contexts", None) | |
| if contexts is None or not contexts.custom: | |
| paths.append("contexts.custom") | |
| else: | |
| for key in contexts.custom: | |
| paths.append(f"contexts.custom.{key}") | |
| if change == "contexts": | |
| paths.append("contexts.custom") |
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@jules apply the suggestion provided here
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Applied the suggestion to improve proto_to_blob and get_update_mask logic, including better property mapping and timestamp conversion.
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| @custom.setter | ||
| def custom(self, value): | ||
| self["custom"] = value |
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The custom setter should ensure that the internal value is always a dictionary, even if None is passed. This prevents potential AttributeError or TypeError in other parts of the code (like blob_to_proto) that expect contexts.custom to be iterable.
| self["custom"] = value | |
| self["custom"] = value if value is not None else {} |
References
- When processing optional parameters with a helper function, prefer placing the null or None check within the function body rather than at the call site to simplify the calling code and improve encapsulation.
- Improve gRPC conversion logic: use 'in' operator for field presence check and improve property mapping. - Refine update_mask generation logic. - Update tests to match new conversion logic. Co-authored-by: nidhiii-27 <224584462+nidhiii-27@users.noreply.github.com>
- Implement ObjectContexts and ObjectCustomContextPayload. - Add 'contexts' property to Blob. - Add 'filter_' parameter to list_blobs. - Add gRPC conversion for contexts and update_mask generation. - Fix unit tests to avoid ADC errors. - Format code with ruff. Co-authored-by: nidhiii-27 <224584462+nidhiii-27@users.noreply.github.com>
This PR implements the "Object Contexts" feature in the
google-cloud-storagePython SDK, ensuring feature parity with the Go and Java SDKs.Key changes:
ObjectCustomContextPayloadandObjectContextsclasses togoogle/cloud/storage/blob.py. These allow users to define custom key-value pairs (contexts) for objects.contextsproperty to theBlobclass with appropriate getters and setters. Addedcontextsto_WRITABLE_FIELDSto enable REST API support for patching and updating these contexts.list_blobsmethod in bothgoogle/cloud/storage/client.pyandgoogle/cloud/storage/bucket.pyto include a keyword-onlyfilter_parameter. This allows server-side filtering of objects based on various attributes, including custom contexts.google/cloud/storage/_grpc_conversions.pywith:blob_to_proto: Support for convertingcontextsto GCS V2 proto.proto_to_blob: Support for populatingBlob.contextsfrom GCS V2 proto.get_update_mask: Logic for generating gRPCFieldMaskfor partial context updates (using shallow masks likecontexts.custom.<key>).google/cloud/storage/tests/unit/test_blob.pyandgoogle/cloud/storage/tests/unit/test__grpc_conversions.pyto verify the new functionality and ensure no regressions (verified withnox -s unit-3.12). Fixed a minor regression in async write tests.This implementation allows for advanced metadata management and powerful server-side filtering as requested.
PR created automatically by Jules for task 13325527155543531515 started by @nidhiii-27