S3 download file flask

AWS S3 Flask. Using Flask to upload the file to S3 — Using this method, we pass the file to our Flask application and then transfer the file to the S3 bucket. Uploading directly to S3 — Here, we use client-side JavaScript to upload the file directly to S3 without our Flask application receiving it.

This saves bandwidth and reduces the load on your server considerably. Now, we specify the required config variables for boto3 app. A dive into Asynchronous JavaScript. Flask Bootstrap will handle loading Bootstrap for us from a CDN, so there will be just minimal configuration for us within our templates. Before we run anything, we need to return to the terminal, setting a couple of environment variables.

Currently, we have Flask running but we have not included any templating or Bootstrap. We need to make a couple adjustments to get Bootstrap. It all depends on how your user is connecting to the server. If it's through a browser, then you should make a new endpoint to download the file, and provide a link to the endpoint in your app.

If you're writing a native app, then you'll need to setup some sort of RPC to get the file from the server. Add a comment. Active Oldest Votes. Improve this answer. Allie Fitter Allie Fitter 1, 8 8 silver badges 18 18 bronze badges. What happens when the client cancels the download? I haven't tried any of this myself, but check out this answer — Allie Fitter. A Python 2 relic, so it should use str instead. I haven't run this code in three years, so I'm not sure what else in it isn't compatible with Python 3.

Show 1 more comment. Rajat Soni Rajat Soni 5 5 silver badges 9 9 bronze badges. Sign up or log in Sign up using Google. You may unsubscribe at any time using the unsubscribe link in the digest email.

See our privacy policy for more information. It can be difficult navigating external platforms and storing data to the cloud. However, this is part of the process when scaling a small application that might rely on in-house databases such as SQLite3.

Amazon Simple Storage Service Amazon S3 offers fast and inexpensive storage solutions for any project that needs scaling. The Python code interacts with the S3 buckets to store and retrieve objects with flexible permission changing settings. Follow along in this tutorial to learn more about how a Python and Flask web application can use Amazon S3's technologies to store media files and display them on a public site.

Inside your favorite terminal, enter:. Since we will be installing some Python packages for this project, we need to create a virtual environment. Since this is a Flask project, it would be helpful to set up a development server. Add a. These incredibly helpful lines will save time when it comes to testing and debugging your project. These lines are convenient because every time the source file is saved, the server will reload and reflect the changes.

The screenshot above displays what your console will look like after running the command flask run. Notice that debugging mode is active: when in this mode, the Flask server will automatically restart to incorporate any further changes you make to the source code. However, since you don't have an app. Feel free to have Flask running in the background as you explore the code. We will be testing the entire project later in the article.

Log in to the AWS console on your browser and click on the Services tab at the top of the webpage. Click on the orange Create Bucket button as shown below to be redirected to the General Configuration page. Give your bucket a unique bucket name that does not contain spaces or uppercase letters. The bucket in this tutorial will be named "lats-image-data" and set to the region "US East Ohio us-east-2". Keep in mind that bucket names have to be creative and unique because Amazon requires unique bucket names across a group of regions.

Since this article uses the name "lats-image-data", it is no longer available for any other customer. It is also important to know that the AWS Region must be set wisely to save costs.

Regions are determined by where AWS data centers are located and thus, it's usually recommended to pick the one closest to you. For example, a US developer would need to make sure their instances are within the United States. California us-west-1 " while another developer in Oregon would prefer to choose "US West Oregeon us-west-2 " instead. Scroll all the way down and click the orange Create Bucket button to see the newly created bucket on the S3 console.

Choose Users on the left side of the console and click on the Add user button as seen in the screenshot below:. Come up with a user name such as "myfirstIAMuser" and check the box to give the user Programmatic access.