Optimize external API calls#67
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Replaced individual `requests.get` calls with a persistent `requests.Session` in the `Handler` class. In AWS Lambda, using a persistent session enables TCP and TLS connection pooling across warm starts. This significantly reduces latency by avoiding the overhead of repeated handshakes (approx. 50-200ms per call depending on distance and TLS complexity). Also optimized JSON parsing by using `ApiResponse.model_validate_json` on raw bytes (`response.content`), leveraging Pydantic's Rust core. Changes: - Updated `Handler.__init__` to instantiate `requests.Session`. - Refactored `handle` method to use `self._session.get`. - Updated `ApiResponse` validation to use `model_validate_json`. - Updated unit and property-based tests to mock the session object.
Optimized the EventBridge API caller template for high-performance Lambda execution. 1. Connection Pooling: Replaced standalone `requests.get` calls with a persistent `requests.Session` in the `Handler` class. This enables TCP/TLS connection reuse across warm starts, reducing latency by ~50-200ms per call. 2. Fast Parsing: Switched to `ApiResponse.model_validate_json` using `response.content` (raw bytes). This bypasses Python's dictionary creation in `response.json()` and leverages Pydantic's Rust-based parser. 3. Journaling: Added a BOLT performance journal in `.jules/bolt.md` to document these patterns. Tests have been updated to mock the session object correctly.
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Summary
Optimize external API calls in the eventbridge template by using
requests.Session