dbparikh / softwarebugpredictor

A web application which uses machine learning techniques to predict the bugs in the source code during early stages of development when the GitHub link of the project is given as the input to the website.

SoftwareBugPredictor

A web application which uses machine learning techniques to predict the bugs in the source code during early stages of development when the GitHub link of the project is given as the input to the website.

The app is available at docker hub here

Uploading to S3 bucket

Before uploading to s3 bucket the following environment variable is required

env variable	description
AWS_BUCKET_NAME	aws bucket name
AWS_BUCKET_REGION	aws bucket region
AWS_ACCESS_KEY	user access key
AWS_SECRET_KEY	user secret key

REST API endpoints to upload file

HTTP	description
POST /s3/upload	upload file with the name bugpredictorfile
GET /s3/download/:keyfile	downloads file from s3 bucket

A user has to be authenticated to save a file in the S3 bucket. Below is a format of the http headers to upload a file in s3 bucket;

POST /s3/upload HTTP/1.1
Content-Length: 223
Content-Type: multipart/form-data;
Content-Disposition: form-data; name="bugpredictorfile";
Content-Type: