⚡️ Speed up method AsyncRawRequestsClient.get by 7%#6
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The optimized code achieves a **6% runtime speedup** and **1.3% throughput improvement** through two key optimizations: **1. Fast-path optimization in `jsonable_encoder`:** - Moved the most common type checks (`str`, `int`, `float`, `None`) to the **very beginning** of the function, before any other processing - This eliminates unnecessary work for simple types that comprise the majority of encoding operations - Line profiler shows the fast-path now handles 880 hits in just 0.49ms vs 3.12ms in the original, a **84% reduction** in encoding time **2. Streamlined header and parameter processing in `AsyncHttpClient.request`:** - Replaced nested dictionary merging with flattened sequential updates using `.update()` - Eliminated redundant `isinstance` checks and temporary variable creation - Simplified conditional logic for file processing and parameter filtering - Combined multiple dictionary operations into single passes **Why these optimizations work:** - **Type checking order matters**: In JSON encoding, primitive types (strings, numbers) are far more common than complex objects. Moving these checks first eliminates expensive isinstance calls for Pydantic models and dataclasses on simple data. - **Dictionary operations are costly**: The original code created multiple intermediate dictionaries and performed redundant merging operations. The optimized version uses in-place updates and avoids unnecessary allocations. **Test case performance:** The optimizations are particularly effective for the test cases involving high-volume concurrent requests (`test_get_throughput_high_volume` with 100 concurrent requests), where the reduced per-operation overhead compounds significantly across many calls. The encoding improvements benefit all test cases since every HTTP request involves JSON encoding of headers and parameters.
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📄 7% (0.07x) speedup for
AsyncRawRequestsClient.getinsrc/deepgram/manage/v1/projects/requests/raw_client.py⏱️ Runtime :
15.4 milliseconds→14.5 milliseconds(best of79runs)📝 Explanation and details
The optimized code achieves a 6% runtime speedup and 1.3% throughput improvement through two key optimizations:
1. Fast-path optimization in
jsonable_encoder:str,int,float,None) to the very beginning of the function, before any other processing2. Streamlined header and parameter processing in
AsyncHttpClient.request:.update()isinstancechecks and temporary variable creationWhy these optimizations work:
Test case performance:
The optimizations are particularly effective for the test cases involving high-volume concurrent requests (
test_get_throughput_high_volumewith 100 concurrent requests), where the reduced per-operation overhead compounds significantly across many calls. The encoding improvements benefit all test cases since every HTTP request involves JSON encoding of headers and parameters.✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-AsyncRawRequestsClient.get-mh2sc6x7and push.