The memory limit for the application container has been doubled from 512 megabytes to 1 gigabyte to accommodate growing data processing requirements and prevent out-of-memory errors during peak loads.
The profiles table previously lacked an index on the user_id column, causing slow query performance when joining with the users table. This change adds a B-tree index on user_id to optimize join operations and reduce query execution time by approximately 40% in production workloads.
Introduce a comprehensive unit test framework covering the core modules, including new test cases for data validation, error handling, and edge scenarios. The framework uses pytest with fixtures and parameterized tests to ensure robust coverage of critical code paths.
The core data ingestion module has been rewritten to replace synchronous file reads and database writes with asynchronous coroutines using asyncio. This change eliminates thread pool overhead for I/O-bound operations, improving throughput under high concurrency. The `process_batch` function now awaits `aiofiles.open` and `asyncpg.execute`, with error handling updated to propagate exceptions through the event loop.
Implement the `include` directive that allows embedding external template files into the current template at render time. This enables code reuse and separation of concerns by letting templates import shared components like headers, footers, or partials. The feature parses include statements, resolves file paths relative to the template root, and recursively renders the included content within the parent template's variable scope.
Refactor the core data processing module to use asyncio for concurrent task execution, replacing the previous synchronous loop. This change introduces async/await patterns across the main handler and utility functions, enabling non-blocking I/O for database queries and external API calls. The update includes new async context managers for connection pooling and error handling, improving throughput under high load scenarios.
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