Download wildcard files from s3 using boto3

Save my name, email, and website in this browser for the next time I comment. Notify me via e-mail if anyone answers my comment. Yes, add me to your mailing list. Blog Contact Me. Install Boto3 using the command sudo pip3 install boto3 If AWS cli is installed and configured you can use the same credentials to create session using Boto3.

Create a generic session to your AWS service using the below code. Use the below command to access S3 as a resource using the session. AWS Region is a separate geographic area. Explained in previous section s3 — Resource created out of the session s3. You can also give a name that is different from the object name. Before we start writing any code we will talk about how to setup the environment for Boto3 S3.

We are going to begin on setting up our environment in particular installing any dependencies and packages necessary. I assume you already have Python 3 installed and running in your system. If you do not you can sign up for free with Amazon here to get started. Now that we have the basic requirements out of the way we can dive in and start setting up the system. Also I want to note that all of the code you will find in this guide can be found in Github here.

Next we need to go ahead and install the Python dependencies to be able to use the boto3 library. You can do this by running the pip tool as shown below.

Keep in mind make sure your virtual environment is activated before you run this step. If you wish to use it without having a virtual environment which I do not recommend you can go ahead and simply install it globally in your user account. Now that we have setup our system we need to verify the library is installed properly and it works. You can do this by simply checking in a python shell using the following command shown below, if you encounter an error please delete your virtual environment and try again.

If the problem still persists please drop me a line below and I will try to help you. As you can see above the boto3 library got loaded successfully and the version is 1. This is as of Late so this may be different in your system based on when you install it. The first thing we need to do is click on create bucket and just fill in the details as shown below. For now these options are not very important we just want to get started and programmatically interact with our setup.

For now you can leave the rest of the options default for example for me the following settings were default at the time of this writing:. Once you verify that go ahead and create your first bucket. For me this looks something like this:. Now that we have our bucket created we need to proceed further into setting up a way to interact with it programmatically. Those are necessary for the platform to know you are authorized to perform actions in a programmatic way rather than logging in the web interface and accessing the features via the console.

So our next task is to find where and how those keys are configured and what is needed to set them up on our local computer to start talking to Amazon AWS S3. First we need to talk about how to add an AWS user. If you do not have a user setup with AWS S3 full permissions then I will walk you through on how to get this done in a simple step by step guide. In the next steps you can use the defaults except the part that is asking you to set the permissions.

In this tab you want to expand below and type in the search S3. Once you do that a bunch of permissions will be loaded for you to select from, for now you can simply select the Full permissions for S3 as shown in the screenshot below.

You can skip the tags and proceed to add the user, the final screen summary should look like this. The final confirmation screen should show you the access key and the secret key. You want to save those for your reference as we would be using them in our code later. This screen looks something like this:. Find centralized, trusted content and collaborate around the technologies you use most. Connect and share knowledge within a single location that is structured and easy to search.

I'm currently writing a script in where I need to download S3 files to a created directory. I currently create a boto3 session with credentials, create a boto3 resource from that session, then use it to query and download from my s3 location.

It looks something like the example below:. In theory, I thought this would copy the specified file from the s3 location to my mount location while keeping the naming of the file. When executing, I'm getting an. Why isn't this process working and also, why is the process appending these random strings to the end of my file name like the 'F2H1nxR0' shown?

I figured out a way to correct the error I was receiving. The issue was I was passing the s3. To fix this error, I converted all the parts to string as shown below:. F2H1nxR0 and gets rid of the 8 character string appended to the end of the file name. Thank you everyone for your help as it lead me to finding this fix. Stack Overflow for Teams — Collaborate and share knowledge with a private group.