grpcio-status
Status proto mapping for gRPC
This package has a good security score with no known vulnerabilities.
Community Reviews
Solid gRPC error handling with Google's richer status protocol
From a security perspective, the library is minimal and focused, which reduces attack surface. It properly serializes error details without exposing internal state, though you need to be careful not to leak sensitive information in error messages yourself - the library won't prevent you from doing so. The dependency chain is reasonable (grpcio, googleapis-common-protos, protobuf), all from Google's well-maintained ecosystem with decent CVE response history.
The main gotcha is documentation - examples are sparse, so expect to reference the protobuf definitions directly. Error handling patterns require understanding both gRPC's basic status codes and the richer Status proto structure, which adds cognitive overhead initially but pays off when building production services that need proper error categorization.
Best for: Production gRPC services that need to return structured, actionable error information with reasons, metadata, and localized messages beyond basic status codes.
Avoid if: You only need simple gRPC status codes without rich error details, or you're using a non-Google error detail standard.
Essential for rich gRPC errors but steep learning curve with sparse docs
The API itself is straightforward once you understand it: use `rpc_status.to_status()` to extract detailed errors and `rpc_status.from_call()` on the client side. The real challenge is figuring out how to construct error details properly using google.rpc.error_details_pb2 types like ErrorInfo, BadRequest, etc. You'll spend time reading the protobuf specs and hunting through GitHub issues for examples.
Error messages when you mess up serialization are cryptic protobuf errors that don't help much. Debugging often means dumping raw bytes. Community support exists but is fragmented - most solutions come from reading grpc-go examples and translating them to Python. Once you get past the initial confusion, day-to-day usage is fine, but expect a few frustrating hours during onboarding.
Best for: Teams building production gRPC services that need to return structured, actionable error information to clients.
Avoid if: You only need basic error messages and don't require structured error details or metadata.
Essential for rich gRPC error handling, but requires careful exception mapping
The main operational consideration is understanding when to use rpc_status.to_status() versus rpc_status.from_call() - the former converts exceptions to rich status objects, while the latter extracts status from failed calls. Memory overhead is negligible since it's just proto marshaling. One gotcha: if clients don't have grpcio-status installed, they'll only see the basic status code, not your detailed error info. Also, error details must be Any-wrapped protos, which adds boilerplate.
Performance impact is minimal - serialization is fast and doesn't noticeably affect RPC latency. The library has been stable across versions with few breaking changes. Documentation could be better with more real-world examples, but the API surface is small enough that you'll figure it out quickly.
Best for: Production gRPC services that need to communicate structured error information beyond basic status codes to clients.
Avoid if: You only need simple error codes or your clients cannot install grpcio-status for compatibility reasons.
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