Coding Style Guide#
Revision 6 2024-10-28
This guide provides a small set of code guidelines used in the SDK. This guide reflects the currently accepted style practices for the SDK and is subject to change.
The SDK was seeded from multiple different projects and contains contributions from many different companies and the SDK code therefore uses several different coding styles throughout the code base. Stylistically, code should attempt to conform to the dominant style of the code being modified, while also adhering to the guidelines below.
Language standard#
Code in the SDK conforms to the following standards. Changes to the C++ standard happen relatively infrequently. Changes to the Python version are more frequent.
Language |
Version |
---|---|
C++ |
C++17 |
Python |
3.10 |
Product-specific software may elect to use later standards in their own work.
Coding Guidelines#
Common#
When in Rome#
The most important convention and practice in the Matter SDK repo is “When in Rome…”, per the quote below.
[quote, St. Ambrose]
If you should be in Rome, live in the Roman manner; if you should be elsewhere, live as they do there.
Your extensions or fixes to existing code should match the prevailing style of the original code.
If you find the conventions so foreign or otherwise confusing, it may be best to let whoever owns the file make the necessary changes or seek the counsel of others in the group to find out what the right thing to do is. Never just start changing code wholesale for personal reasons without consulting others first.
Commenting Out or Disabling Code#
Unused code shall not be disabled by commenting it out with C- or C++-style
comments or with preprocessor #if 0 ... #endif
semantics. Unused code should
be removed.
Auto-formatters#
We use the following auto-formatters on code:
Language |
Formatter |
Style File |
---|---|---|
C++ |
clang-format |
|
Objective-C |
clang-format |
|
java |
google-java-format |
N/A |
Python |
pep8, isort, ruff |
.restyled.yaml(command line), isort, ruff |
YAML |
prettier |
None |
JSON |
prettier |
None |
markdown |
prettier |
None |
All pull requests run formatting checks using these tools before merge is allowed. Generated code is not run through restyle.
C++#
Use C++ cstdint for Plain Old Data Types#
Standard, scalar data types defined in cstdint should be used for basic signed and unsigned integer types, especially when size and serialization to non-volatile storage or across a network is concerned.
Examples of these are: uint8_t
, int8_t
, etc.
Avoid top-level using namespace
Statements in Headers#
By doing this, you are effectively forcing every other module that includes the header to also be using the namespace. This causes namespace pollution and generally defeats the purposes of namespaces. Fully-qualified symbols or namespace blocks should be used instead.
Classes / objects not exposed in a header should be in an anonymous namespace#
If a cpp class defines a class or instantiates a static object, it should be enclosed in an anonymous namespace.
namespace {
// CPP internal defines go here
} // namespace
Singleton use#
The decision to use a singleton class should be considered with care. Do not default to using a singleton for ease of writing code.
If the class truly should be a singleton (ex. if it is controlling access to a hardware resource)
The standard function name for accessing an SDK singleton is GetInstance().
Singleton classes should delete copy and move constructors
Avoid Heap-based Resource Allocation and auto-resizing std containers#
Heap-based resource allocation should be avoided in the core SDK for common code that may run on constrained embedded devices. This includes any container element in std that automatically re-sizes itself at runtime (ex. vector, string etc.) as these re-size operations are often large and can lead to memory exhaustion and fragmentation on embedded systems.
Heap-based allocation is allowed for controller code and is at the discretion of platform vendors for platform-specific code.
Alternatives#
In either case, recommended resource allocation alternatives are:
In-place allocation and initialization
Pool-based allocators
Platform-defined and -assigned allocators
CHIPMem.h provides support for platform defined allocators.
Pool.h is the Matter SDK pool allocator implementation.
Prefer CopySpanToMutableSpan over memcpy when using spans#
See Span.h
Prefer std::optional to CHIP implementation in newer code#
The Matter SDK Optional.h was implemented when the Matter SDK was C++14, but newer code can use std::optional, which offers some benefits over the Matter SDK implementation (ex. std::optional is trivially destructible if the underlying type is also trivially destructible)
Python#
Type hints#
Use type hints on function definitions for public APIs.
Docstrings#
Docstrings should be included for all public APIs.
mypy#
The current python code does not yet pass mypy checks, but we are working towards this goal. The more compliant new code is to mypy, the better.