Ifenna is a Computer Science undergraduate. She has a particular interest in backend web development and NLP. Discover Section's community-generated pool of resources from the next generation of engineers. The simple, flexible deployment options your customers expect with the low overhead your team craves. For Infrastructure Providers. Simple, centralized, intelligent management of distributed compute locations on massive scale. What is AWS S3? There are several advantages of using AWS S3.
In this guide, we will upload user-generated files using the Django Rest Framework. Execute the commands below to set up the project. MultiPartParser, parsers. This article was contributed by a student member of Section's Engineering Education Program. When you created your S3 bucket you will have defined a name for the bucket as well as choosing an AWS region for it to be hosted in. Insert these here. We should be ready now to upload files directly to S3 via the Django admin upload we tried earlier.
If we try the uploads again we will see the files no longer appear in the root directory of our app but are stored in the S3 bucket we set up. We have been able to set up file uploads from a very basic Django up quickly and easily. You should now be able to easily set this up on future Django projects to make your handling of file uploads hassle free. Setting up a simple Django App This can be skipped if you already have a project Django has a quick guide to set up a Django project here which I've followed to quickly set up a demo app.
Adding a photo model Once you've done the basic set up in the tutorial, you can create a "Photos" model to start testing your uploads. David Bruton Web Developer at Theodo.
In order to do that we will leverage the library we installed earlier called dotenv. The reason we will use this is to access our secret and access key from the environment file. We use an environment file for security reasons such as avoiding to hardcode any values in our code base.
The environment file basically tells Python that the data will live in the process environment which is in memory and does not touch any source file. In a way this is similar to setting environment variables in your terminal but for convenience we set them in our. The format of this would look something like this:. The data values above have been randomized for obvious reasons. But as you can see we are setting two variables here one for our access and one for our secret key which our code will be reading from in order to use them to initialize our AWS session.
This can be seen in the code below:. Now that we have our keys setup we will talk about how to upload a file using Boto3 S3. We will start by uploading a local file to our S3 bucket. The code we will be writing and executing will leverage the boto3 helper python code we wrote above. The steps to accomplish this are the following:. One thing to note here is that we are uploading 2 files test.
This assumes you have created the files locally if not you can use the ones from the git repo and you need to have created a bucket as it was shown earlier called unbiased-coder-bucket. If you choose a different name just replace the code above accordingly with the bucket name you chose to use.
If we were to execute the code above you would see it in the output:. This shows that we successfully uploaded two files in our S3 bucket in AWS. To verify that everything worked for now we can login to the AWS console and see if the files are there. Later in the article we will demonstrate how to do this programmatically. If you were to login to the AWS console you will see something like this:. In the above scenario basically the file will be uploaded into the prefix-dir from the root of our unbiased-coder-bucket.
In this section we will go over on how to download a file using Boto3 S3, similar to uploading a file to S3 we will implement the download functionality:.
The code above will download from our bucket the previously two files we uploaded to it. Then you create a generic session to s3 and also create a specific s3 session. You can create a session by using the boto3. Session api by passing the access key and the secret access key.
Boto3 looks at various configuration locations until it finds the configuration values such as settings. If you do not want to create a session and access the resource, you can create an s3 client directly by using the following command. Use the below script to download a single file from S3 using Boto3 Resource.
Create necessary sub directories to avoid file replacements if there are one or more files existing in different sub buckets.
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