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Simple STAC pipeline

This repository stores infrastructure as code for a simple STAC metadata creation and ingestion pipeline that works as follows with three main components:

  • an 'inventory' lambda reads a CSV file column and sends each row as a message to an SQS queue
  • the SQS queue messages are received by another, 'ingest' lambda that creates a STAC item for each message and posts it to a STAC catalog.

Key information to be provided by the user is (1) the inventory csv location and (2) the location of the python package containing the module that will be used by the ingest lambda the create the STAC records. An example is shown in .example_env. See below for more details on configuration.

Requirements

  • python
  • docker
  • the AWS cdk CLI and AWS credentials configured in the environment.

Installation

python -m venv .venv 
source .venv/bin/activate
pip install -r requirements.txt

Usage

Configuration and Deployment

First, you need to deploy the two lambdas and the queue. To configure the deployment, populate an .env file at the root of this repository with the parameters defined in settings.py and lambdas/*/env.py. These are defined using pydantic-settings.

Once you configured your deployment, you can deploy the resources from the root of this repo :

cdk deploy --all --app "python deployment.py"

Trigger the pipeline

Simply invoke the inventory lambda passing as a single input the queue-url resulting from the deployment. You can invoke it either through the CLI or on the console with a test run.