⚡ Bolt: optimize GraphQL list_items with Pydantic TypeAdapter#52
⚡ Bolt: optimize GraphQL list_items with Pydantic TypeAdapter#52google-labs-jules[bot] wants to merge 1 commit into
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Optimized the `list_items` resolver in `templates/graphql/handler.py` by replacing a Python-level list comprehension with Pydantic V2's `TypeAdapter` for batch processing. 💡 What: Used `TypeAdapter(list[Item])` with `validate_python()` and `dump_python()`. 🎯 Why: Leverages Pydantic V2's high-performance Rust engine for collection processing, reducing Python object allocation and iteration overhead. 📊 Impact: Significant performance improvement for large datasets in list resolvers. 🔬 Measurement: Verified with `pytest tests/graphql/` and `pyright`.
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Optimized the
list_itemsresolver intemplates/graphql/handler.pyby replacing a Python-level list comprehension with Pydantic V2'sTypeAdapterfor batch processing.💡 What: Used
TypeAdapter(list[Item])withvalidate_python()anddump_python().🎯 Why: Leverages Pydantic V2's high-performance Rust engine for collection processing, reducing Python object allocation and iteration overhead.
📊 Impact: Significant performance improvement for large datasets in list resolvers.
🔬 Measurement: Verified with
pytest tests/graphql/andpyright.PR created automatically by Jules for task 16702152276711596693 started by @amrabed