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⚡️ Speed up method V1SocketClient._handle_json_message by 317%#17

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⚡️ Speed up method V1SocketClient._handle_json_message by 317%#17
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codeflash/optimize-V1SocketClient._handle_json_message-mh4gvoex

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@codeflash-ai codeflash-ai Bot commented Oct 24, 2025

📄 317% (3.17x) speedup for V1SocketClient._handle_json_message in src/deepgram/agent/v1/socket_client.py

⏱️ Runtime : 6.21 milliseconds 1.49 milliseconds (best of 56 runs)

📝 Explanation and details

Optimization Explanation:

  • parse_obj_as.
    • Avoids repeated importing of IS_PYDANTIC_V2 and T. The value of IS_PYDANTIC_V2 is used but not redefined, so it's now imported directly, eliminating ambiguity and ensuring fast access.
    • For Pydantic v2, a persistent TypeAdapter cache is added (using functools.lru_cache) to significantly reduce the overhead of repeatedly instantiating adapters with the same type, which was a major source of runtime cost per your profiling.
    • This reduces time spent per invocation when the same type is parsed frequently.
  • _handle_json_message.
    • Code refactoring for performance is not needed as both lines are necessary; however, the savings from adapter caching have a direct positive impact.
  • No behavioral changes: All signatures, imports, exception types, and outputs are preserved. No unnecessary logic changes or mutation of inputs.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 🔘 None Found
⏪ Replay Tests 5 Passed
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
⏪ Replay Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
test_pytest_testsintegrationstest_integration_scenarios_py_testsunittest_core_utils_py_testsutilstest_htt__replay_test_0.py::test_deepgram_agent_v1_socket_client_V1SocketClient__handle_json_message 6.21ms 1.49ms 317%✅

To edit these changes git checkout codeflash/optimize-V1SocketClient._handle_json_message-mh4gvoex and push.

Codeflash

**Optimization Explanation:**

- **`parse_obj_as`**.
    - Avoids repeated importing of `IS_PYDANTIC_V2` and `T`. The value of `IS_PYDANTIC_V2` is used but not redefined, so it's now imported directly, eliminating ambiguity and ensuring fast access.
    - For Pydantic v2, a persistent `TypeAdapter` cache is added (using `functools.lru_cache`) to significantly reduce the overhead of repeatedly instantiating adapters with the same type, which was a major source of runtime cost per your profiling.
    - This reduces time spent per invocation when the same type is parsed frequently.
- **`_handle_json_message`**.
    - Code refactoring for performance is not needed as both lines are necessary; however, the savings from adapter caching have a direct positive impact.
- **No behavioral changes**: All signatures, imports, exception types, and outputs are preserved. No unnecessary logic changes or mutation of inputs.

---
@codeflash-ai codeflash-ai Bot requested a review from mashraf-222 October 24, 2025 06:25
@codeflash-ai codeflash-ai Bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Oct 24, 2025
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⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash

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