book_broker_service's Introduction
Для решения задачи выбрал RabbitMQ, Postgres и FastAPI по условию. Задачи реализовал через BackgroundTasks. @app.on_event("startup") не использовал т.к. устаревшее решение. Формулировка задания немного скомканная, поэтому решил для себя так: 1. При стартапе приложения инициализируются БД, описывается очередь в брокере. Запускается консьюмер + процессинг в бэкграунде. 2. Хэндлер `/api/start_task` принимает файл и запускает бэкграунд таск паблишера с отправкой сообщений раз в 3 секунды {"datetime": "15.11.2023 15:00:25.001", "title": "Very fun book", "text": "...Rofl...lol../n..ololo..."} 3. Хэндлер `/api/list` отдает все записи из БД в виде [ {"datetime": "15.11.2023 15:00:25.001", "title": "Very fun book", "x_avg_count_in_line": 0.012}, {"datetime": "18.01.2023 12:00:25.001", "title": "Other very fun book", "x_avg_count_in_line": 0.032} ]
book_broker_service's People
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