Python download file from s3 and process

Viewed 88k times. I am trying to download a file from Amazon S3 bucket to my local using the below code but I get an error saying "Unable to locate credentials" Given below is the code I have written: from boto3. Improve this question. Increasingly Idiotic 4, 2 2 gold badges 25 25 silver badges 61 61 bronze badges. Taukheer Taukheer 2 2 gold badges 10 10 silver badges 18 18 bronze badges. Add a comment. Active Oldest Votes. Improve this answer. Joaquin please add documentation to where you found this for a more complete answer.

Increasingly Idiotic Increasingly Idiotic 4, 2 2 gold badges 25 25 silver badges 61 61 bronze badges. The file is left in an non-deterministic state. This line ensures you start reading it back from the beginning just spent some time figuring this out myself! RobertKing do you mind elaborating on this point? Why add f. Pipe api, 'my-files' pipe. Miguel Conde Miguel Conde 6 6 silver badges 22 22 bronze badges.

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I am pretty sure this must be hypothetical question. You can use Pandas library for reading the CSV file into the memory and then process it in memory and then save it back to the file system. So how it will touch the hard drive? Add a comment.

Active Oldest Votes. You should look into the io module Depending on how you want to read the file, you can create a StringIO or BytesIO object and download your file to this stream. You should check out these answers: How to read image file from S3 bucket directly into memory? How to read a csv file from an s3 bucket using Pandas in Python.

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My experience is not limited to the architecture but also doing a lot of hands on code and understanding the limits of each product AWS offers. 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.