README.md

Python function to upload files to S3

This function does the following steps:

• Read a file from an HTTP request form
• Store the file in S3

Requirements

This example uses the Python API Framework to build and deploy the function.

First you need to:

• Create an API key in the console, with at least the ObjectStorageFullAccess and FunctionsFullAccess permissions, and access to the relevant project for Object Storage access
• Get the access key and secret key for this API key
• Get your project ID
• Create an S3 bucket

You then need to set the following environment variables:

export SCW_ACCESS_KEY=<your access key>
export SCW_SECRET_KEY=<your secret key>
export SCW_DEFAULT_PROJECT_ID=<your project id>
export BUCKET_NAME=<bucket name>

Deploy on Scaleway

Deployment can be done with scw_serverless:

pip install --user -r requirements.txt

scw-serverless deploy app.py

This will then print out your function's URL. You can use this to test your function with:

# Upload the requirements file
curl -F [email protected] <your function URL>

You should then see the requirements.txt file uploaded to your bucket.

Warning when deploying the function, do not create a virtual environment directory in this project root, as this will be included in the deployment zip and make it too large.

Running it locally

You can test your function locally thanks to the Serverless Functions Python Framework. To do this, you can run:

pip install --user -r requirements-dev.txt

python app.py

This starts the function locally, allowing you to upload files to S3 via the file form-data key:

# Upload the requirements file
curl -F [email protected] localhost:8080