⚡️ Speed up method `ResultData.serialize_results` by 22% in PR #6028 (`PlaygroundPage`)
#6205Comparing
codeflash/optimize-pr6028-2025-02-07T20.54.26
(ee49723
) withPlaygroundPage
(ef6af98
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test_successful_run_with_output_type_any
src/backend/tests/unit/test_endpoints.py::test_successful_run_with_output_type_any+1%
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src/backend/tests/unit/test_chat_endpoint.py::test_build_flow_from_request_data+1%
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src/backend/tests/unit/test_chat_endpoint.py::test_build_flow+1%
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test_get_all
src/backend/tests/unit/test_endpoints.py::test_get_all-1%
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test_successful_run_with_output_type_debug
src/backend/tests/unit/test_endpoints.py::test_successful_run_with_output_type_debug-1%
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test_successful_run_with_input_type_text
src/backend/tests/unit/test_endpoints.py::test_successful_run_with_input_type_text-1%
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test_successful_run_with_input_type_any
src/backend/tests/unit/test_endpoints.py::test_successful_run_with_input_type_any-1%
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test_invalid_run_with_input_type_chat
src/backend/tests/unit/test_endpoints.py::test_invalid_run_with_input_type_chat-9%
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PlaygroundPage
ef6af98
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⚡️ Speed up method `ResultData.serialize_results` by 22% in PR #6028 (`PlaygroundPage`)
To optimize the provided Python code for faster execution, we should focus on reducing redundant checks, minimizing the calls to serialization functions, and utilizing efficient data structures and algorithms. The core parts of the code revolve around the `serialize` function and the `ResultData` model serialization.
Here is a revised version of the code with optimizations.
1. **Optimize `serialize` function**.
- Directly return primitive types early to avoid unnecessary function calls.
- Use specific type checks before attempting to dispatch through the `_serialize_dispatcher`.
- Minimize instance checks only for types that need special handling.
2. **Optimize the `serialize_results` method**.
- Use list comprehension where possible for faster iteration.
**Changes made**.
- **Direct Primitive Return**: Directly return primitive types early in the `serialize` function.
- **Simplified Type Handling**: Reduced unnecessary checks and utilized more direct type expressions.
- **List Comprehension Optimization**: Leveraged dictionary comprehension for better performance.
These optimizations will enhance performance by reducing the overhead of redundant operations and leveraging the efficiency of Python's built-in types and comprehensions.
ee49723
6 days ago
by codeflash-ai[bot]