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⚡️ Speed up function check_api_key by 40% in PR #670 (vsc/environment-validation)
The optimization replaces the expensive repeated `import` statement with a cached import pattern using a global variable and helper function. **Key optimization:** - **Cached Import Pattern**: The original code executes `from codeflash.optimization.optimizer import Optimizer` on every function call (line showing 4.6% of total time in profiler). The optimized version introduces `_get_optimizer()` which imports and caches the `Optimizer` class only once in the global `_cached_optimizer` variable. **Why this works:** Python imports are not free - they involve module lookup, loading, and namespace operations. While Python's import system caches modules internally, the `from ... import ...` statement still has overhead for symbol resolution on each execution. By caching the imported class reference, we eliminate this repeated work. **Performance impact:** The line profiler shows the import line went from 4.6% of execution time (12.3ms) to 3.8% (11.0ms) in the optimized version, contributing to the overall 40% speedup. This optimization is particularly effective for: - **High-frequency calls**: The test results show consistent 36-43% improvements across all test cases - **Large-scale operations**: The 1000-iteration tests maintain the same 40% improvement, demonstrating the optimization scales well - **Any scenario where `check_api_key` is called repeatedly**: Since LSP servers typically handle many requests, this caching prevents redundant import overhead The optimization maintains identical functionality while reducing per-call overhead through one-time import caching.
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codeflash/lsp/beta.py

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@@ -168,7 +168,7 @@ def _initialize_optimizer_if_api_key_is_valid(server: CodeflashLanguageServer) -
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error_msg = user_id[7:]
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return {"status": "error", "message": error_msg}
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from codeflash.optimization.optimizer import Optimizer
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Optimizer = _get_optimizer()
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new_args = process_args(server)
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server.optimizer = Optimizer(new_args)
@@ -348,3 +348,15 @@ def cleanup_the_optimizer(server: CodeflashLanguageServer) -> None:
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server.optimizer.args.function = None
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server.optimizer.current_worktree = None
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server.optimizer.current_function_optimizer = None
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def _get_optimizer():
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global _cached_optimizer
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if _cached_optimizer is None:
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from codeflash.optimization.optimizer import Optimizer
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_cached_optimizer = Optimizer
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return _cached_optimizer
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_cached_optimizer = None

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