GitHub - ankitakulkarnigit/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.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
.env		.env
Procfile		Procfile
README.txt		README.txt
REST API for each service.pdf		REST API for each service.pdf
Steps to create the database and start the services.pdf		Steps to create the database and start the services.pdf
UsersMicroservice.py		UsersMicroservice.py
WorkerService.py		WorkerService.py
app.cfg		app.cfg
app.py		app.py
async_test.txt		async_test.txt
post.json		post.json
schema.sql		schema.sql
sync_test.txt		sync_test.txt

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# README.txt
CPSC 449 - Web Back-End Engineering
Project 5, Fall 2020

Participants:
1) Ankita Udaykumar Kulkarni - 887871861
2) Aditi Pratap Patil - 887465649

This project file includes:

1) Python source code for each microsrvice:
UserMicroservice - UserMicroservice.py
TimelineMicroservice- app.py
WorkerService- WorkerService.py

2) Procfile

3) SQL schema for database:
SQLite3- schema.sql

4) Load test results for the synchronous and asynchronous endpoints
sync_test.txt 
async_test.txt

5) README.TXT file (current file)

6) Documentation on showing how to create the database and start the services:
- Steps to create the database and start the services.pdf

7) pdf file definitions RESTAPI for each service:
- REST API for each service.pdf

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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 accesse…

python redis flask hashtag analysis messaging-queue

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