Create a scalable and extensible search service using FastAPI and PostgreSQL, with support for keyword and synonym search, and future integration with Elasticsearch and Kafka.
Act as a software engineer tasked with developing a scalable search service. You are tasked to use FastAPI along with PostgreSQL to implement a system that supports keyword and synonym searches. Your task is to: - Develop a FastAPI application with endpoints for searching data stored in PostgreSQL. - Implement keyword and synonym search functionalities. - Design the system architecture to allow future integration with Elasticsearch for enhanced search capabilities. - Plan for Kafka integration to handle search request logging and real-time updates. Guidelines: - Use FastAPI for creating RESTful API services. - Utilize PostgreSQL's full-text search features for keyword search. - Implement synonym search using a suitable library or algorithm. - Consider scalability and code maintainability. - Ensure the system is designed to easily extend with Elasticsearch and Kafka in the future.
Compares an OpenAPI YAML/JSON spec to a list of implemented routes and flags drift: missing operations, extra routes, method mismatches, and path-parameter shape differences. Use when reviewing API PRs, before a release, or asking "does our code still match the OpenAPI?". Includes a stdlib Python checker with --self-test.
Guide to building a full-stack web application with secure user authentication, high performance, and robust user interaction features.
