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Cognition-Datasources
Changing deployment from AWS Elasticbeanstalk to Lambda + API Gateway.
Drivers can now be packaged as Lambda Layers, allowing them to be distributed through AWS Lambda by loading the layer into a function's configuration.
Drivers can now be loaded into a Serverless Framework project for cloud deployment. Each datasource is packaged as a lambda function which references the lambda layer of both the cognition-datasources base layer and the appropriate driver layer.
Introduced a simple lambda fan-out pattern to distribute requests across the loaded drivers (see handler.py) with API Gateway integration to create simple STAC endpoint (/stac/search)
Updated CLI and docs to reflect changes in deployment.
Drivers
Updating driver template and documentation to reflect changes in deployment.
Updated how spatial coverages are packaged alongside the driver. Now uses AWS Lambda Spatial Databases (previously rtree).
Drivers now use Docker for dependency management, ensuring that the driver will successfully integrate with cognition-datasources when loaded.