A1Betting7-13.2 — Copilot Instructions

Context: • Goal: Optimize real-time data ingestion from TheOdds API for improved efficiency and reliability. • Location: backend/app/services/data_ingestion.py (or suggest a new module if more appropriate for a large pipeline). • Current Issue: Occasional hanging during API calls to TheOdds API, leading to data staleness and potential resource exhaustion. • Requirements: • Implement aggressive timeouts (e.g., 30 seconds) for all external API requests to prevent indefinite hanging. • Apply a robust circuit breaker pattern (e.g., using tenacity library or a custom implementation) for retries with exponential backoff on transient errors, and a fallback mechanism. • Add comprehensive logging for successful data fetches, failures, retries, and circuit breaker state changes. • Consider graceful degradation strategies (e.g., serving slightly stale cached data if the API is unresponsive for an extended period). • Ensure proper process monitoring for background data ingestion tasks, including health checks and alerts for prolonged failures. • Optimize data parsing and storage to handle large volumes efficiently, considering the 3000+ file context and overall system load. Task: Refactor the fetch_odds_data function (or create a new data ingestion pipeline) to include robust timeout mechanisms, a circuit breaker pattern, and comprehensive logging. Provide example usage and considerations for deployment in a large-scale, real-time environment.