souravs17031999/aws-s3-python

Repo for connecting and accessing all operations of AWS S3 using Python boto3.

aws-s3-python

Instructions for setting up of AWS S3 for interfacing with REST API's for using it in WebAPPS.

• Log on to https://aws.amazon.com/free/ and create a free tier account which is generally enough for small webapps.
• Go to https://aws.amazon.com/console/ and enter your credentials for logging in (by default you are root user).

• Make sure you are on the similar console as shown above.

Note : bucket creation as follows below can also be done by code but i generally like AWS UI for this purpose and all other work can surely be done using code obviously.

• Now, click on Services drop down menu, select S3 under Storage section.
• click on create bucket as shown below.
  
• Now, follow the instructions as below for creating your first bucket on s3.

Note1 : bucket-name should be unique identifier. Note2 : Regarding Blocking Public permissions : If you just have to read and write on the objects stored in s3 , then you can keep the blocking permissions On but since i am using it for rendering files on the web (like images, videos) so, i am disabling any blocking permissions as if left on, these can override any permissions on individual objects even though they are public.

• Now, you should have your bucket showing up on your S3 console.
• Now, click on bucket-name and then move to Permissions section and then select Bucket Policy.
• You can edit the policy by creating a new policy (at the end, it is given -policy generator).
• Follow the instructions as shown below to create policy - This is make sure that every default object uploaded to the container becomes public so that we can render the files directly on the web.

Note : In the policy generator section, we need ARN which you can get from your bucket-policy section, generally it's something like - aws:s3:::bucket-name and you just need to append "\" at the end of arn while entering the form.

• Now, paste the code generated by clicking on Add statement and copy the code and paste it in bucket-policy editor.

• Now, you have made the policy for making all the uploaded objects public.

• Then, just a last step for getting the credentials to access the S3 API using Python library boto3.

• Create IAM roles for getting full control over the s3 buckets.

• Follow the steps below and get your credentials.

• Now, again select Services drop down menu and select IAM from Security, Identity, & Compliance section (you can also search IAM in the search bar and select it).

• Now, select Users and click on Add user.

• Then follow below instructions for creating your IAM roles and getting your credentials.
  

• Now, select AmazonS3FullAccess as shown below.

• Skip the add tags section and click on Next.

• Now, review your policy and on the screen you have your API access Id and API access secret key , keep them safe by copying it or downloading as csv.

• Now, you can interface S3 with boto3 (python module) for accessing S3 with your obtained credentials.

🎉 Great, you have now got your AWS S3 API credentials with full access over s3.