/messaging_queue_hashtag_analysis

This is a web back-end project in which three microservices are created. Uses Python Flask, SQLite3 Database and Redis for implementing Messaging Queue. The WorkerService is responsible for implementing a messaging queue when a user accesses the /postTweet endpoint. Along with that, it also includes a hashtag analysis method. When a user accesses the /trending endpoint, he/she will get the top trending hashtags. The User microservice includes creating user, authenticating user, add followers, remove followers. Timeline microservice posts a post on timeline, displays post of the user, displays post of all the follower’s user follows, Displays post of the all the users.

Primary LanguagePython

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