⚡ Bolt: optimize stream model validation with from_attributes#69
⚡ Bolt: optimize stream model validation with from_attributes#69google-labs-jules[bot] wants to merge 1 commit into
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Enabled `from_attributes=True` in Stream models and refactored the handler to validate models directly from source instances. This eliminates redundant dictionary creation via `model_dump()`, improving efficiency in high-throughput stream processing.
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💡 What: Optimized Pydantic model transformation in the Stream template.
🎯 Why: Previously,
SourceItemwas dumped to a dictionary and then validated intoDestinationItem. This double-processing (serialization followed by parsing) is inefficient for high-volume DynamoDB Streams.📊 Impact: Reduces CPU overhead and memory allocations by bypassing intermediate dictionary creation. Typical Pydantic model-to-model validation with
from_attributes=Trueis significantly faster thanmodel_validate(model_dump()).🔬 Measurement: Verified with existing test suite (
uv run pytest tests/stream/test_handler.py). Logic remains identical but execution path is optimized.PR created automatically by Jules for task 18428852808355383389 started by @amrabed