Skip to content

Latest commit

 

History

History
138 lines (88 loc) · 3.3 KB

README.md

File metadata and controls

138 lines (88 loc) · 3.3 KB

Event based service example

Event based services for uploading images to AWS S3 bucket. Resizing uploaded images to thumbnail, uploading them into separate S3 bucket folder and listing down the resized images.

How it works?

Upload service uploads the original image to AWS S3 bucket and returns the message saying that image is uploaded and sent for resizing. At the same time upload service adds a job in Redis queue that new image is ready for resizing. Image resize worker which is listening for the new job from Redis, picks up the job and does the resizing of original image and uploads back to AWS S3 in a separate folder. After the worker is done with resizing and uploading it also sends a message to a web socket server that new image is being resized in the system. On receiving the message from web worker web socket server tell all subscribed client that new resized image is added in the system, update your UI

Architecture Diagram

architecture-diagram

Service components

REST API

Pre-requisites

installed python and pip

Install dependencies

$ pip install virtualenv  #make sure you do this
$ virtualenv .pyenv
$ source .pyenv/bin/activate
$ pip install -r requirements.txt

Run

$ python run.py
* Running on http://localhost:7000/ (Press CTRL+C to quit)

API's

PORT :: 7000

Upload API

http://localhost:7000/api/upload - POST

params:

 name : file
 Form Data: file(binary)

Header:

Content-Type: multipart/form-data

List resized images API

http://localhost:7000/api/images - GET

AWS SE bucket access credentials

Install and configure aws cli

https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-install.html

https://docs.aws.amazon.com/cli/latest/reference/configure/

Enviroment variable

Create a .env file on each enviroment in root of repo

TMP_FILE_PATH = ''; # tmp file storage path on server
S3_BUCKET_NAME = ''; # S3 bucket name
S3_BASE_URL = ''; # S3 bucket base url 
WEB_SOCKET_PATH = ''; # websocket server path

Redis Server

Install dependencies

install redis https://redis.io/topics/quickstart

Run redis server

redis-server

Queue and Worker

RQ (Redis Queue) :: A simple Python library for queueing jobs and processing them in the background with workers.

Install dependencies

Already include in the project requirements.txt file

Worker file is at https://github.com/PradeepJaiswar/event-based-service-example/blob/master/worker.py

Run rq worker

cd event-based-service-example
rq worker

WebSocket

PORT :: 8080

e.g ws://localhost:8080/

Prerequisites

installed node and npm

Install dependencies

cd event-based-service-example
npm install ws

Websocket server file is at https://github.com/PradeepJaiswar/event-based-service-example/blob/master/socket-server.js

Run websocket server

cd event-based-service-example
node socket-server.js or nodejs socket-server.js

Web applicatios

Check https://github.com/PradeepJaiswar/event-based-service-example-frontend

Test

TODO

Code

APi's are written Flaskframewoek http://flask.pocoo.org/ using blueprints http://flask.pocoo.org/docs/1.0/blueprints/ for modular code structure