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feat: Add Python class Deserializer
to deserialize log events from CLP key-value pair IR stream.
#94
Conversation
WalkthroughThe pull request introduces enhancements to the deserialization capabilities within the CLP framework. Key additions include the Changes
Possibly related PRs
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Actionable comments posted: 7
🧹 Outside diff range and nitpick comments (6)
clp_ffi_py/ir/__init__.py (1)
Line range hint
7-25
: Consider adding module-level docstringThe
__all__
list effectively defines the public API, but it would be beneficial to add a module-level docstring explaining the purpose and organization of these components.Add a docstring at the module level:
+""" +CLP IR (Intermediate Representation) module. + +This module provides components for handling CLP's intermediate representation: +- Serialization/Deserialization: Serializer, Deserializer, etc. +- Event types: LogEvent, KeyValuePairLogEvent +- Query building: QueryBuilder +- File operations: ClpIrFileReader, ClpIrStreamReader +""" from clp_ffi_py.ir.native import *🧰 Tools
🪛 Ruff (0.7.0)
9-9:
Decoder
may be undefined, or defined from star imports(F405)
10-10:
DecoderBuffer
may be undefined, or defined from star imports(F405)
11-11:
Deserializer
may be undefined, or defined from star imports(F405)
12-12:
DeserializerBuffer
may be undefined, or defined from star imports(F405)
13-13:
FourByteDeserializer
may be undefined, or defined from star imports(F405)
14-14:
FourByteEncoder
may be undefined, or defined from star imports(F405)
clp_ffi_py/ir/native.pyi (1)
106-114
: Consider adding context manager support and resource managementTo maintain consistency with the Serializer class and ensure proper resource handling, consider adding:
- Context manager methods (enter, exit)
- Resource management methods (close, flush)
Example implementation:
class Deserializer: def __init__( self, input_stream: IO[bytes], buffer_capacity: int = 65536, allow_incomplete_stream: bool = False, ): ... def __enter__(self) -> Deserializer: ... def __exit__( self, exc_type: Optional[Type[BaseException]], exc_value: Optional[BaseException], traceback: Optional[TracebackType], ) -> None: ... def deserialize_log_event(self) -> Optional[KeyValuePairLogEvent]: ... def close(self) -> None: ...src/clp_ffi_py/ir/native/PyKeyValuePairLogEvent.cpp (2)
328-341
: Add documentation for thecreate
method.The method would benefit from documentation explaining its purpose, parameters, return value, and error conditions.
Add documentation above the method:
+/** + * Creates a new PyKeyValuePairLogEvent instance from a KeyValuePairLogEvent. + * @param kv_log_event The KeyValuePairLogEvent to wrap + * @return A pointer to the new PyKeyValuePairLogEvent instance, or nullptr if allocation fails + */ auto PyKeyValuePairLogEvent::create(clp::ffi::KeyValuePairLogEvent kv_log_event ) -> PyKeyValuePairLogEvent* {
330-331
: Make the NOLINT directive more specific.The current NOLINT directive is too broad. It should specifically target the rule being suppressed.
- // NOLINTNEXTLINE(cppcoreguidelines-pro-type-cstyle-cast) + // NOLINTNEXTLINE(cppcoreguidelines-pro-type-cstyle-cast, performance-no-int-to-ptr)tests/test_ir/test_serder.py (2)
71-71
: Correct the grammatical error in the parameter descriptionThe parameter description for
ir_stream_path
should use the singular form 'deserializer' instead of 'deserializers'.Apply this diff to fix the typo:
-:param ir_stream_path: Path to the input file that the deserializers reads from. +:param ir_stream_path: Path to the input file that the deserializer reads from.
85-85
: Fix the comment to correct the grammatical errorThe comment should read 'To silence mypy' instead of 'To silent mypy' for proper grammar.
Apply this diff to correct the comment:
-assert actual is not None # To silent mypy +assert actual is not None # To silence mypy
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (10)
CMakeLists.txt
(1 hunks)clp_ffi_py/ir/__init__.py
(1 hunks)clp_ffi_py/ir/native.pyi
(1 hunks)src/clp_ffi_py/PyObjectCast.hpp
(2 hunks)src/clp_ffi_py/ir/native/PyDeserializer.cpp
(1 hunks)src/clp_ffi_py/ir/native/PyDeserializer.hpp
(1 hunks)src/clp_ffi_py/ir/native/PyKeyValuePairLogEvent.cpp
(1 hunks)src/clp_ffi_py/ir/native/PyKeyValuePairLogEvent.hpp
(1 hunks)src/clp_ffi_py/modules/ir_native.cpp
(2 hunks)tests/test_ir/test_serder.py
(1 hunks)
🧰 Additional context used
📓 Learnings (2)
src/clp_ffi_py/ir/native/PyKeyValuePairLogEvent.cpp (2)
Learnt from: LinZhihao-723
PR: y-scope/clp-ffi-py#81
File: src/clp_ffi_py/ir/native/PyKeyValuePairLogEvent.hpp:0-0
Timestamp: 2024-11-14T06:30:18.577Z
Learning: In `PyKeyValuePairLogEvent`, we assume invalid objects will never be created, so null pointer checks in methods like `get_kv_pair_log_event()` are unnecessary, assuming CPython system runs correctly.
Learnt from: LinZhihao-723
PR: y-scope/clp-ffi-py#81
File: src/clp_ffi_py/ir/native/PyKeyValuePairLogEvent.hpp:42-44
Timestamp: 2024-11-10T16:46:58.543Z
Learning: In the C++ codebase, for consistency with other classes, methods like `get_kv_pair_log_event()` in `src/clp_ffi_py/ir/native/PyKeyValuePairLogEvent.hpp` should return pointers instead of references.
src/clp_ffi_py/ir/native/PyKeyValuePairLogEvent.hpp (2)
Learnt from: LinZhihao-723
PR: y-scope/clp-ffi-py#81
File: src/clp_ffi_py/ir/native/PyKeyValuePairLogEvent.hpp:42-44
Timestamp: 2024-11-10T16:46:58.543Z
Learning: In the C++ codebase, for consistency with other classes, methods like `get_kv_pair_log_event()` in `src/clp_ffi_py/ir/native/PyKeyValuePairLogEvent.hpp` should return pointers instead of references.
Learnt from: LinZhihao-723
PR: y-scope/clp-ffi-py#81
File: src/clp_ffi_py/ir/native/PyKeyValuePairLogEvent.hpp:0-0
Timestamp: 2024-11-14T06:30:18.577Z
Learning: In `PyKeyValuePairLogEvent`, we assume invalid objects will never be created, so null pointer checks in methods like `get_kv_pair_log_event()` are unnecessary, assuming CPython system runs correctly.
🪛 Ruff (0.7.0)
clp_ffi_py/ir/__init__.py
11-11: Deserializer
may be undefined, or defined from star imports
(F405)
🔇 Additional comments (12)
clp_ffi_py/ir/__init__.py (1)
11-11
: Verify the Deserializer class implementation
Let's confirm that the Deserializer class is properly implemented in the native module.
✅ Verification successful
Deserializer class is properly implemented and well-tested
The Deserializer class is correctly defined in native.pyi
with proper initialization parameters and is extensively tested across multiple test cases. The class is part of the native module as indicated by the comment in __init__.py
.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify the Deserializer class exists in the native module
# Expected: Find the class definition in native.pyi or native.py
# Search for Deserializer class definition
echo "Searching for Deserializer class definition..."
fd -e pyi -e py . -x rg -l "class Deserializer"
# Search for Deserializer type hints or imports
echo "Searching for Deserializer type hints or imports..."
fd -e pyi -e py . -x rg -l "Deserializer"
Length of output: 597
Script:
#!/bin/bash
# Let's check the actual implementation in native.pyi
echo "Content of native.pyi:"
rg "class Deserializer" ./clp_ffi_py/ir/native.pyi -A 5
# Check if it's imported and used in test files
echo -e "\nDeserializer usage in tests:"
rg "Deserializer" ./tests/test_ir/test_deserializer.py -A 2
Length of output: 3583
🧰 Tools
🪛 Ruff (0.7.0)
11-11: Deserializer
may be undefined, or defined from star imports
(F405)
src/clp_ffi_py/modules/ir_native.cpp (2)
3-3
: LGTM! Header inclusion is properly placed.
The PyDeserializer header is correctly included after the mandatory Python.hpp header and follows the project's include structure pattern.
85-89
: LGTM! Module initialization follows established patterns.
The PyDeserializer module initialization follows the consistent error-handling pattern used throughout the file. Let's verify the header file exists and contains the required module_level_init function.
✅ Verification successful
Module initialization is properly defined and follows the expected pattern
The header file correctly declares the module_level_init
function with the expected signature, matching its usage in the implementation file. The function is properly documented and follows the established patterns for Python module initialization.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify the PyDeserializer header file structure
# Check if the header file exists and contains module_level_init
rg -U "module_level_init.*PyObject\*.*new_module" "clp_ffi_py/ir/native/PyDeserializer.hpp"
# Verify the class declaration
ast-grep --pattern 'class PyDeserializer {
$$$
static bool module_level_init(PyObject* new_module);
$$$
}'
Length of output: 286
Script:
#!/bin/bash
# Let's try to locate the correct header file path
fd PyDeserializer.h
# Search for module_level_init in all files
rg -U "module_level_init.*PyObject\*.*new_module"
# Try to find the class definition
ast-grep --pattern 'class PyDeserializer'
Length of output: 20685
src/clp_ffi_py/ir/native/PyKeyValuePairLogEvent.hpp (1)
60-68
: Well-structured factory method implementation!
The new create
static method is well-designed with several good practices:
- Clear documentation of parameters, return values, and error handling
- Proper use of
[[nodiscard]]
to prevent ignored return values - Consistent with the class's design pattern of returning pointers
- Appropriate integration with CPython's object lifecycle management
clp_ffi_py/ir/native.pyi (1)
106-114
: Implementation aligns well with existing patterns
The Deserializer class signature is well-structured with appropriate type hints and follows consistent patterns with the existing Serializer class.
src/clp_ffi_py/PyObjectCast.hpp (2)
Line range hint 115-123
: LGTM! Well-organized class declarations.
The forward declarations are properly scoped and follow consistent naming conventions. The alphabetical ordering aids in maintainability.
Line range hint 125-135
: Verify usage of marked Python object types.
While marking these types as Python objects is necessary for the type checking system, let's verify that all marked types are actually used in the codebase to avoid unnecessary specializations.
✅ Verification successful
All marked Python object types are actively used in the codebase
Based on the search results, all Python object types marked with CLP_FFI_PY_MARK_AS_PYOBJECT
are properly used throughout the codebase:
PyDeserializer
,PyDeserializerBuffer
,PyFourByteDeserializer
: Used in deserialization implementationPyKeyValuePairLogEvent
,PyLogEvent
: Used for log event handlingPyMetadata
: Used for metadata managementPyQuery
: Used for query functionalityPySerializer
: Used in serialization implementationPyBytesObject
,PyDictObject
,PyTypeObject
: Used as core Python types in various implementations
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check usage of marked Python object types in the codebase
echo "Checking usage of PyDeserializer..."
rg "PyDeserializer" --type cpp
echo "Checking usage of PyDeserializerBuffer..."
rg "PyDeserializerBuffer" --type cpp
echo "Checking usage of PyFourByteDeserializer..."
rg "PyFourByteDeserializer" --type cpp
echo "Checking usage of PyKeyValuePairLogEvent..."
rg "PyKeyValuePairLogEvent" --type cpp
echo "Checking usage of PyLogEvent..."
rg "PyLogEvent" --type cpp
echo "Checking usage of PyMetadata..."
rg "PyMetadata" --type cpp
echo "Checking usage of PyQuery..."
rg "PyQuery" --type cpp
echo "Checking usage of PySerializer..."
rg "PySerializer" --type cpp
echo "Checking usage of PyBytesObject..."
rg "PyBytesObject" --type cpp
echo "Checking usage of PyDictObject..."
rg "PyDictObject" --type cpp
echo "Checking usage of PyTypeObject..."
rg "PyTypeObject" --type cpp
Length of output: 80102
CMakeLists.txt (1)
102-103
: LGTM! The PyDeserializer source files are properly integrated.
The new PyDeserializer implementation files are correctly added to the CLP_FFI_PY_LIB_IR_SOURCES list and follow the project's directory structure conventions.
Let's verify the integration with existing components:
✅ Verification successful
The PyDeserializer integration is properly implemented and well-structured
The verification shows that:
- PyDeserializer is correctly integrated into the module system via
module_level_init
- The header is properly included in
ir_native.cpp
and other relevant components - It's part of a cohesive deserialization system alongside PyDeserializerBuffer and other related components
- The implementation follows the project's include patterns and module structure
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify the PyDeserializer integration with related components
# Check for required header includes in PyDeserializer
rg -l "PyDeserializer\.hpp" "${CLP_FFI_PY_LIB_SRC_DIR}/modules"
# Verify the class is properly exported in the Python module
rg "PyDeserializer" "${CLP_FFI_PY_LIB_SRC_DIR}/modules/ir_native.cpp"
# Check for potential circular dependencies
ast-grep --pattern 'include "PyDeserializer.hpp"'
Length of output: 245
Script:
#!/bin/bash
# Let's try with fd to find the correct paths first
fd -t f "ir_native.cpp"
# Then search for PyDeserializer references in the entire codebase
rg -l "PyDeserializer"
# Look for include patterns in cpp files
rg -t cpp '#include.*PyDeserializer'
Length of output: 1282
Script:
#!/bin/bash
# Check how PyDeserializer is used in ir_native.cpp
rg -A 5 "PyDeserializer" src/clp_ffi_py/modules/ir_native.cpp
# Look for the class definition and its integration
ast-grep --pattern 'class PyDeserializer {
$$$
}'
# Check for pybind11 module exports
rg "PYBIND11_MODULE" src/clp_ffi_py/modules/ir_native.cpp -A 10
Length of output: 981
src/clp_ffi_py/ir/native/PyKeyValuePairLogEvent.cpp (1)
328-341
: Implementation looks good!
The create
method follows the codebase conventions and properly handles:
- Memory allocation and error conditions
- Python/C API integration
- Factory method pattern implementation
src/clp_ffi_py/ir/native/PyDeserializer.hpp (1)
206-207
: Verify the implementation of handle_log_event
The method handle_log_event
is declared but not implemented in this header file. Ensure that its implementation is provided in the corresponding source file to prevent linker errors.
Run the following script to verify the implementation:
✅ Verification successful
Implementation of handle_log_event
is properly provided
The method handle_log_event
is correctly implemented in src/clp_ffi_py/ir/native/PyDeserializer.cpp
. The implementation handles the log event by managing the deserialized event state and returns a success code.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Search for the implementation of `PyDeserializer::handle_log_event`.
# Test: Expect to find the implementation in a `.cpp` file. The function should be defined outside the header.
rg --cpp -g '*.cpp' -A 5 '^auto PyDeserializer::handle_log_event'
Length of output: 475
Script:
#!/bin/bash
# Description: Search for the implementation of `PyDeserializer::handle_log_event`.
# Test: Expect to find the implementation in a `.cpp` file. The function should be defined outside the header.
rg -g '*.cpp' -A 5 'PyDeserializer::handle_log_event'
# Also search in the header file to ensure it's not implemented inline
rg -g '*.hpp' -A 5 'PyDeserializer::handle_log_event'
Length of output: 703
src/clp_ffi_py/ir/native/PyDeserializer.cpp (2)
121-124
: Initialize member variables to prevent undefined behaviour
Before parsing arguments, the default_init()
method is called to reset pointers. Ensure that default_init()
properly initializes all member variables to safe defaults to prevent undefined behaviour in case of exceptions during initialization.
263-280
: Ensure accurate mapping of error codes to Python exceptions
In the handle_incomplete_ir_error
method, error codes are mapped to Python exceptions. Verify that all possible error codes are correctly handled and that the corresponding Python exceptions provide clear and accurate information to the user.
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First batch of comments
Co-authored-by: haiqi96 <[email protected]>
…p-ffi-py into py-deserializer
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (5)
clp_ffi_py/ir/__init__.py (1)
Line range hint
1-4
: Consider replacing star imports with explicit imports for better maintainability.While star imports work, they make it harder to track symbol origins and can mask naming conflicts. Consider listing explicit imports for better code maintainability and clarity.
Example refactor:
-from clp_ffi_py.ir.native import * +from clp_ffi_py.ir.native import ( + Deserializer, + DeserializerBuffer, + FourByteDeserializer, + FourByteSerializer, + IncompleteStreamError, + KeyValuePairLogEvent, + LogEvent, + Metadata, + Query, + Serializer, +)🧰 Tools
🪛 Ruff (0.8.0)
9-9:
Decoder
may be undefined, or defined from star imports(F405)
10-10:
DecoderBuffer
may be undefined, or defined from star imports(F405)
11-11:
Deserializer
may be undefined, or defined from star imports(F405)
12-12:
DeserializerBuffer
may be undefined, or defined from star imports(F405)
13-13:
FourByteDeserializer
may be undefined, or defined from star imports(F405)
14-14:
FourByteEncoder
may be undefined, or defined from star imports(F405)
src/clp_ffi_py/ir/native/PyDeserializer.cpp (4)
64-64
: Enhance error documentation with specific exception types.The documentation should list the specific exception types that can be raised (e.g.,
RuntimeError
,IncompleteStreamError
) to help users better handle error cases.
122-124
: Add validation for buffer capacity.The buffer capacity is accepted without validation. Consider adding checks to ensure it's within reasonable bounds (e.g., positive and not excessively large).
Py_ssize_t buffer_capacity{PyDeserializer::cDefaultBufferCapacity}; int allow_incomplete_stream{0}; +if (buffer_capacity <= 0) { + PyErr_SetString(PyExc_ValueError, "buffer_capacity must be positive"); + return -1; +}
261-262
: Consider using RAII for log event management.While raw pointers are acceptable for CPython integration, consider using a scope guard or RAII wrapper to ensure cleanup in case of exceptions between allocation and storage.
class LogEventGuard { clp::ffi::KeyValuePairLogEvent* ptr; public: explicit LogEventGuard(clp::ffi::KeyValuePairLogEvent&& event) : ptr(new clp::ffi::KeyValuePairLogEvent{std::move(event)}) {} ~LogEventGuard() { if (ptr) delete ptr; } clp::ffi::KeyValuePairLogEvent* release() { auto* tmp = ptr; ptr = nullptr; return tmp; } };
206-208
: Consider adding debug logging for exceptions.Adding debug-level logging when catching exceptions would help with troubleshooting issues in production environments.
} catch (clp::TraceableException& exception) { + // Log the exception details at debug level + if (PyErr_WarnEx(PyExc_RuntimeWarning, + (std::string("Debug: ") + exception.what()).c_str(), 1) < 0) { + PyErr_Clear(); // Don't propagate warning errors + } handle_traceable_exception(exception); return nullptr; }Also applies to: 233-236
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (3)
clp_ffi_py/ir/__init__.py
(1 hunks)src/clp_ffi_py/ir/native/PyDeserializer.cpp
(1 hunks)src/clp_ffi_py/ir/native/PyDeserializer.hpp
(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- src/clp_ffi_py/ir/native/PyDeserializer.hpp
🧰 Additional context used
📓 Learnings (1)
src/clp_ffi_py/ir/native/PyDeserializer.cpp (3)
Learnt from: LinZhihao-723
PR: y-scope/clp-ffi-py#94
File: src/clp_ffi_py/ir/native/PyDeserializer.cpp:206-208
Timestamp: 2024-11-23T05:55:08.019Z
Learning: In code interfacing with CPython (e.g., `src/clp_ffi_py/ir/native/PyDeserializer.cpp`), using raw pointers for memory management is acceptable due to CPython's memory management requirements.
Learnt from: LinZhihao-723
PR: y-scope/clp-ffi-py#94
File: src/clp_ffi_py/ir/native/PyDeserializer.cpp:218-242
Timestamp: 2024-11-23T05:55:57.106Z
Learning: In `src/clp_ffi_py/ir/native/PyDeserializer.cpp`, the `deserialize_log_event` method in the `PyDeserializer` class ensures proper loop termination and does not risk infinite loops, even when handling incomplete or corrupted streams.
Learnt from: LinZhihao-723
PR: y-scope/clp-ffi-py#94
File: src/clp_ffi_py/ir/native/PyDeserializer.hpp:246-248
Timestamp: 2024-11-23T05:54:37.767Z
Learning: In the `src/clp_ffi_py/ir/native` module, raw pointers with `gsl::owner` are intentionally used instead of `std::unique_ptr` to comply with CPython's memory management requirements.
🪛 Ruff (0.8.0)
clp_ffi_py/ir/__init__.py
11-11: Deserializer
may be undefined, or defined from star imports
(F405)
🔇 Additional comments (2)
clp_ffi_py/ir/__init__.py (1)
11-11
: LGTM! The addition of "Deserializer" to all is properly documented.
The new entry is well-placed and includes a clear comment indicating its origin from the native module.
🧰 Tools
🪛 Ruff (0.8.0)
11-11: Deserializer
may be undefined, or defined from star imports
(F405)
src/clp_ffi_py/ir/native/PyDeserializer.cpp (1)
241-249
: LGTM! Module initialization is well-implemented.
The code properly handles type creation and registration with appropriate error checking and static assertions.
if (IrUnitType::LogEvent != ir_unit_type_result.value() | ||
|| false == has_unreleased_deserialized_log_event()) | ||
{ | ||
continue; | ||
} | ||
return py_reinterpret_cast<PyObject>( | ||
PyKeyValuePairLogEvent::create(release_deserialized_log_event()) | ||
); |
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Actually it might be better if the return IR unit type is checked. Re-write it this way, do u think it's better? @haiqi96
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (3)
src/clp_ffi_py/ir/native/PyDeserializer.cpp (3)
35-37
: Improve class documentation clarity.The class documentation could be more specific about the input/output types and the deserialization process.
- "Deserializer for deserializing CLP key-value pair IR streams.\n" - "This class deserializes a CLP key-value pair IR stream into log events.\n\n" + "Deserializer for CLP key-value pair IR streams.\n" + "This class reads a binary IR stream and produces KeyValuePairLogEvent objects.\n\n"
216-234
: Consider optimizing the deserialization loop.The current implementation processes one IR unit at a time. Consider buffering multiple IR units to improve performance for large streams.
Consider implementing batch processing:
- Buffer multiple IR units before processing
- Use a queue to store deserialized events
- Process multiple events in parallel where possible
273-277
: Enhance incomplete stream error message.The error message could provide more context about why the stream is incomplete and possible remediation steps.
- cDeserializerIncompleteIRError + "Incomplete IR stream detected. This may occur if the stream was truncated " + "during serialization or transmission. Set allow_incomplete_stream=True to " + "process partial streams."
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (1)
src/clp_ffi_py/ir/native/PyDeserializer.cpp
(1 hunks)
🧰 Additional context used
📓 Learnings (1)
src/clp_ffi_py/ir/native/PyDeserializer.cpp (3)
Learnt from: LinZhihao-723
PR: y-scope/clp-ffi-py#94
File: src/clp_ffi_py/ir/native/PyDeserializer.cpp:206-208
Timestamp: 2024-11-23T05:55:08.019Z
Learning: In code interfacing with CPython (e.g., `src/clp_ffi_py/ir/native/PyDeserializer.cpp`), using raw pointers for memory management is acceptable due to CPython's memory management requirements.
Learnt from: LinZhihao-723
PR: y-scope/clp-ffi-py#94
File: src/clp_ffi_py/ir/native/PyDeserializer.cpp:218-242
Timestamp: 2024-11-23T05:55:57.106Z
Learning: In `src/clp_ffi_py/ir/native/PyDeserializer.cpp`, the `deserialize_log_event` method in the `PyDeserializer` class ensures proper loop termination and does not risk infinite loops, even when handling incomplete or corrupted streams.
Learnt from: LinZhihao-723
PR: y-scope/clp-ffi-py#94
File: src/clp_ffi_py/ir/native/PyDeserializer.hpp:246-248
Timestamp: 2024-11-23T05:54:37.767Z
Learning: In the `src/clp_ffi_py/ir/native` module, raw pointers with `gsl::owner` are intentionally used instead of `std::unique_ptr` to comply with CPython's memory management requirements.
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (2)
src/clp_ffi_py/ir/native/PyDeserializer.cpp (2)
35-36
: Improve documentation clarity.Consider rephrasing to avoid redundancy:
- "Deserializer for deserializing CLP key-value pair IR streams.\n" - "This class deserializes a CLP key-value pair IR stream into log events.\n\n" + "Deserializer for CLP key-value pair IR streams.\n" + "Converts IR streams into log events.\n\n"
272-284
: Consider using RAII for log event management.The current implementation manually manages memory for
m_deserialized_log_event
. Consider usingstd::unique_ptr
to prevent memory leaks and ensure proper cleanup:- if (has_unreleased_deserialized_log_event()) { - clear_deserialized_log_event(); - } - m_deserialized_log_event = new clp::ffi::KeyValuePairLogEvent{std::move(log_event)}; + m_deserialized_log_event = std::make_unique<clp::ffi::KeyValuePairLogEvent>(std::move(log_event));
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📒 Files selected for processing (2)
src/clp_ffi_py/ir/native/PyDeserializer.cpp
(1 hunks)src/clp_ffi_py/ir/native/PyDeserializer.hpp
(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- src/clp_ffi_py/ir/native/PyDeserializer.hpp
🧰 Additional context used
📓 Learnings (1)
src/clp_ffi_py/ir/native/PyDeserializer.cpp (3)
Learnt from: LinZhihao-723
PR: y-scope/clp-ffi-py#94
File: src/clp_ffi_py/ir/native/PyDeserializer.cpp:218-242
Timestamp: 2024-11-23T05:55:57.106Z
Learning: In `src/clp_ffi_py/ir/native/PyDeserializer.cpp`, the `deserialize_log_event` method in the `PyDeserializer` class ensures proper loop termination and does not risk infinite loops, even when handling incomplete or corrupted streams.
Learnt from: LinZhihao-723
PR: y-scope/clp-ffi-py#94
File: src/clp_ffi_py/ir/native/PyDeserializer.cpp:206-208
Timestamp: 2024-11-23T05:55:08.019Z
Learning: In code interfacing with CPython (e.g., `src/clp_ffi_py/ir/native/PyDeserializer.cpp`), using raw pointers for memory management is acceptable due to CPython's memory management requirements.
Learnt from: LinZhihao-723
PR: y-scope/clp-ffi-py#94
File: src/clp_ffi_py/ir/native/PyDeserializer.hpp:246-248
Timestamp: 2024-11-23T05:54:37.767Z
Learning: In the `src/clp_ffi_py/ir/native` module, raw pointers with `gsl::owner` are intentionally used instead of `std::unique_ptr` to comply with CPython's memory management requirements.
🔇 Additional comments (2)
src/clp_ffi_py/ir/native/PyDeserializer.cpp (2)
262-270
: LGTM! Well-implemented module initialization.
The implementation includes proper type safety checks and error handling.
122-124
: 🛠️ Refactor suggestion
Add buffer capacity validation.
Consider adding validation for the buffer capacity to ensure it's within reasonable bounds:
Py_ssize_t buffer_capacity{PyDeserializer::cDefaultBufferCapacity};
int allow_incomplete_stream{0};
+ if (buffer_capacity <= 0 || buffer_capacity > PY_SSIZE_T_MAX / 2) {
+ PyErr_SetString(PyExc_ValueError, "buffer_capacity must be positive and within reasonable bounds");
+ return -1;
+ }
Likely invalid or redundant comment.
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For title, how about
feat: Add Python class Deserializer to deserialize CLP key-value pair IR stream into log events.
As discussed offline, we decided to stick to the original PR title since the phrasing is smoother and more readable |
Description
This PR adds a new class
Deserializer
to support deserializing log events from CLP key-value pair IR stream. TheDeserializer
is designed to read from a Python IO[byte] object as the input stream, and emitKeyValueLogEvent
instances as the deserialized output.Validation performed
Summary by CodeRabbit
Release Notes
New Features
PyDeserializer
class for enhanced deserialization of CLP key-value pair IR streams.Deserializer
class to the public API, allowing users to easily access deserialization functionalities.PyKeyValuePairLogEvent
for streamlined object creation from log events.Tests