Merge pull request #6 from tyrchen/feature/upgrade-tonic-mock-with-ai

Feature/upgrade tonic mock with ai

Author: tyrchen

.clippy.toml

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+# Clippy configuration for tonic-mock
+disallowed-methods = []
+cognitive-complexity-threshold = 100
+too-many-arguments-threshold = 10

.cursor/memory/activeContext.md

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+# Active Context
+
+## Current Project State
+- Version: 0.3.0
+- Stable release with core functionality implemented
+- Small, focused library with clear purpose
+
+## API Stability
+- Public API is stable and documented
+- Core functions:
+  - `streaming_request<T>`
+  - `process_streaming_response<T, F>`
+  - `stream_to_vec<T>`
+- Public types:
+  - `StreamResponseInner<T>`
+  - `StreamResponse<T>`
+  - `MockBody`
+  - `ProstDecoder<U>`
+
+## Documentation Status
+- README.md provides usage examples and overview
+- Doc comments include examples for all public functions
+- API documentation available on docs.rs
+
+## Testing Status
+- Core functionality demonstrated through doc tests
+- No dedicated test files found in the codebase
+
+## Current Focus Areas
+- Maintaining compatibility with tonic 0.13.x
+- Supporting Protocol Buffers through prost 0.13.x
+
+## Potential Improvements
+- Add more comprehensive test coverage
+- Support for additional tonic features
+- Enhanced error handling and diagnostics
+- Performance optimizations for large message volumes
+
+## Integration Points
+- Works with any gRPC service built with tonic
+- Compatible with Protocol Buffer messages defined with prost
+- Designed to be used in test code, not production