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refactor: Fix clang-tidy warnings in utils. #101

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merged 2 commits into from
Dec 4, 2024

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LinZhihao-723
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@LinZhihao-723 LinZhihao-723 commented Dec 4, 2024

Description

This is one of the PRs to implement #96.
This PR fixes all clang-tidy warnings in utils.hpp/cpp.
Note: cppcoreguidelines-pro-type-vararg is disabled since vararg functions are used in many CPython APIs.

Validation performed

  • Ensure the lint workflow passed

Summary by CodeRabbit

  • New Features

    • Enhanced C++ linting capabilities with additional source paths for static analysis.
    • Updated linting configurations to improve compatibility with CPython coding practices.
  • Improvements

    • Standardized initialization syntax in utility functions for better code clarity.
    • Enhanced type safety and clarity in function signatures and template usage.
  • Bug Fixes

    • Addressed potential clang-tidy warnings by including necessary Msgpack declarations.

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coderabbitai bot commented Dec 4, 2024

Walkthrough

The pull request introduces enhancements to the C++ linting tasks by modifying the lint-tasks.yml file to include additional source files for static analysis. It also updates the .clang-tidy configuration to disable checks for vararg functions. Changes are made to utils.cpp and utils.hpp to improve code clarity and type safety. Additionally, several Msgpack headers are included conditionally in msgpack.hpp to address clang-tidy warnings. Overall, the modifications aim to improve the linting process and code quality without altering existing task structures.

Changes

File Path Change Summary
lint-tasks.yml Added utils.cpp and utils.hpp to cpp-static-check task for expanded linting coverage.
src/clp_ffi_py/.clang-tidy Added Checks section to disable vararg function checks.
src/clp_ffi_py/utils.cpp Included <string_view>, standardized initialization of std::string_view, and removed assert(new_type);.
src/clp_ffi_py/utils.hpp Updated header inclusions, added [[nodiscard]] to multiple function signatures, and changed template parameter in parse_py_int.
src/wrapped_facade_headers/msgpack.hpp Added Msgpack internal headers within a conditional compilation block when CLP_FFI_PY_ENABLE_LINTING is defined.

Possibly related issues

Possibly related PRs

Suggested reviewers

  • kirkrodrigues: Suggested for review due to relevance to C++ linting changes.

📜 Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between a07a7cd and 93a767a.

📒 Files selected for processing (5)
  • lint-tasks.yml (1 hunks)
  • src/clp_ffi_py/.clang-tidy (1 hunks)
  • src/clp_ffi_py/utils.cpp (2 hunks)
  • src/clp_ffi_py/utils.hpp (6 hunks)
  • src/wrapped_facade_headers/msgpack.hpp (1 hunks)
✅ Files skipped from review due to trivial changes (1)
  • src/clp_ffi_py/.clang-tidy
🔇 Additional comments (6)
src/wrapped_facade_headers/msgpack.hpp (1)

9-14: LGTM! Verify header availability across msgpack versions.

The addition of explicit msgpack header inclusions for linting purposes is well-structured. The conditional compilation ensures these headers are only included during linting.

Let's verify the header availability:

✅ Verification successful

Let me gather more information about the msgpack headers to ensure they are properly referenced and not just string literals.


Let me check one more thing to verify if these are system-provided headers.


The msgpack headers are properly configured and available

The headers are part of the msgpack-cxx dependency that's properly integrated into the build system. The CMake configuration shows that msgpack is included as a subdirectory and the headers are system-provided through this dependency. The conditional inclusion of these headers for linting purposes is appropriate and well-structured.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify that all required msgpack headers exist
# Test: Check if the headers exist in the include paths

for version in v1 v2 v3; do
  for header in object_decl unpack_decl; do
    rg -g "*.hpp" -l "msgpack/${version}/${header}"
  done
done

Length of output: 803


Script:

#!/bin/bash
# Check for actual msgpack header files in the repository
fd -e hpp -e h "msgpack" --type f

# Also check if these headers are part of system includes or external dependencies
rg -g "*.hpp" -g "*.h" "include.*msgpack" --no-filename

Length of output: 427


Script:

#!/bin/bash
# Look for build configuration files that might reference msgpack
rg -g "CMakeLists.txt" -g "*.cmake" "msgpack"

# Check for any package management or dependency files
fd "package|requirements|deps" --type f --exec rg "msgpack" {} || true

Length of output: 518

src/clp_ffi_py/utils.cpp (1)

7-7: LGTM! Proper header inclusion and modern initialization syntax.

The changes improve code quality by:

  1. Adding the required <string_view> header
  2. Using uniform initialization syntax for std::string_view

Also applies to: 58-58

src/clp_ffi_py/utils.hpp (3)

6-8: LGTM! Improved header organization and dependencies.

The header changes properly declare dependencies on standard types and CLP-specific types.

Also applies to: 14-14, 16-16


29-30: LGTM! Enhanced API safety with [[nodiscard]].

The addition of [[nodiscard]] attributes ensures that callers don't accidentally ignore important return values, which could lead to error conditions being missed.

Also applies to: 40-40, 50-51, 58-58, 69-70


102-103: LGTM! Improved type safety in parse_py_int template.

The changes enhance type safety by:

  1. Constraining the template parameter to clp::IntegerType
  2. Using appropriate PyLong conversion functions based on the target type
  3. Adding proper overflow checking for uint32_t

Let's verify the usage of parse_py_int:

Also applies to: 109-115, 130-130

✅ Verification successful

Let me verify the clp::IntegerType concept to ensure all usage types are supported.


Let me try a different approach to find the concept definition.


Let me check one more location to find the concept definition.


Based on the codebase analysis, I can now verify the usage of parse_py_int. The template is constrained to clp::IntegerType and is used with the following types:

  • size_t
  • clp::ir::epoch_time_ms_t
  • Py_ssize_t
  • uint32_t

The implementation includes appropriate type-specific conversions and overflow checking, particularly for uint32_t. All usages in the codebase are with these supported types, as seen in:

  • PyQuery.cpp: Uses with clp::ir::epoch_time_ms_t
  • PyLogEvent.cpp: Uses with clp::ir::epoch_time_ms_t and size_t
  • PyDeserializerBuffer.cpp: Uses with uint32_t

The type safety improvements in parse_py_int are correctly implemented and all usages in the codebase are with supported types.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify parse_py_int usage patterns
# Test: Look for calls to parse_py_int to ensure they use supported types

# Search for parse_py_int calls
rg "parse_py_int\s*<" -A 2

Length of output: 1505


Script:

#!/bin/bash
# Find the IntegerType concept definition
rg -g '*.{hpp,cpp}' "concept\s+IntegerType" -A 5

Length of output: 50


Script:

#!/bin/bash
# Search for IntegerType in header files
rg -g '*.hpp' "IntegerType" -B 2 -A 5

# Also check if it might be in a type_traits or concepts header
fd -e hpp -e h "type|concept" --exec cat {}

Length of output: 1037


Script:

#!/bin/bash
# Look for IntegerType in clp namespace headers
fd -e hpp -e h . --exec grep -l "namespace clp" {} | xargs cat

# Also check for type traits or concepts in include directory
fd -e hpp -e h . -p "include/" --exec cat {}

Length of output: 69977

lint-tasks.yml (1)

114-115: LGTM! Let's verify the file paths.

The addition of utils.cpp and utils.hpp to the static analysis task aligns with the PR objectives to fix clang-tidy warnings.

Let's verify that these files exist and are accessible:

✅ Verification successful

Files exist and are correctly referenced

The files utils.cpp and utils.hpp exist in the src/clp_ffi_py/ directory, which matches the TaskFile variable CLP_FFI_PY_CPP_SRC_DIR usage pattern. The files are properly added to the static analysis task alongside their companion files Py_utils.cpp and Py_utils.hpp.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify the existence of utils.cpp and utils.hpp

# Check if the files exist
fd --type f "utils\.(cpp|hpp)$" "${CLP_FFI_PY_CPP_SRC_DIR}"

# Check if they are readable
if [ -r "${CLP_FFI_PY_CPP_SRC_DIR}/utils.cpp" ] && [ -r "${CLP_FFI_PY_CPP_SRC_DIR}/utils.hpp" ]; then
    echo "Files are readable"
fi

Length of output: 166


Script:

#!/bin/bash
# Let's first find the actual source directory structure
fd -t d "src|source|cpp"

# Then search for utils files across the repository
fd -t f "utils\.(cpp|hpp)$"

# Also check if there are any TaskFile variables defined
cat lint-tasks.yml | grep "CLP_FFI_PY_CPP_SRC_DIR"

Length of output: 933


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@haiqi96 haiqi96 left a comment

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Approve since

  1. I assume Kirk agrees with Disable vararg function checks
  2. The linter passed in the pipeline

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2 participants