Boto3 download file forbbiden

You want to save those for your reference as we would be using them in our code later. This screen looks something like this:.

Do note I redacted my access and secret key from the screenshot for obvious reasons but you should have them if everything worked successfully. Now that we have an access and secret key and our environment setup we can start writing some code.

Before we jump into writing code that downloads uploads and lists files from our AWS bucket we need to write a simple wrapper that will be re-used across our applications that does some boiler plate code for the boto3 library. One thing to understand here is that AWS uses sessions. Similar to when you login to the web console a session is initiated with a cookie and everything in a similar way this can be done programmatically. So the first thing we need to do before we start accessing any resource in our AWS environment is to start and setup our session.

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.

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. If your file is existing as a. By default, it will run all of the unit and functional tests, but you can also specify your own pytest options. Note that this requires that you have all supported versions of Python installed, otherwise you must pass -e or run the pytest command directly:.

We use GitHub issues for tracking bugs and feature requests and have limited bandwidth to address them. Please use these community resources for getting help:. We value feedback and contributions from our community. Dec 13, Dec 9, Dec 8, Dec 6, Dec 3, Dec 2, Dec 1, Nov 30, Nov 29, Nov 26, Nov 24, Nov 23, Nov 22, Nov 19, Nov 18, Nov 17, Nov 16, Nov 15, Nov 12, Nov 11, Nov 10, Nov 9, Nov 8, Nov 5, Nov 4, Nov 3, Nov 2, Nov 1, Oct 29, Oct 28, Oct 27, Oct 26, Oct 25, Oct 22, Oct 21, Oct 20, Oct 19, Oct 18, Oct 15, Oct 14, Oct 13, Oct 12, Oct 11, Oct 8, Oct 7, Oct 6, Oct 5, Oct 4, Oct 1, Sep 30, Sep 29, Sep 28, Sep 27, Sep 24, Sep 23, Sep 22, Sep 21, Sep 17, Sep 16, Sep 14, Sep 13, Sep 10, Sep 9, Sep 8, Sep 7, Sep 3, Sep 2, Sep 1, Aug 31, Aug 30, Aug 27, Aug 26, Aug 25, Aug 24, Aug 23, Aug 20, Aug 19, Aug 18, Aug 17, Aug 16, Aug 13, Aug 12, Aug 11, Aug 10, Aug 9, Aug 6, Aug 5, Aug 4, Aug 3, Aug 2, Jul 30, Jul 29, Jul 28, This is a good idea because resources contain shared data when loaded and calling actions, accessing properties, or manually loading or reloading the resource can modify this data.

Based on that explanation, I understood that I had to create a new session and client in each thread. Doing that ends up being quite slow, since creating a session has some overhead.

Actually you can create only one session and one client and pass that client to each thread, see the note. Bonus: Have a progress bar using tqdm that updated on each download.