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An application for discovering collections from multiple STAC APIs and/or CMRs

Project description

Federated Collection Discovery

An application for discovering geospatial data collections from multiple STAC APIs and/or CMRs.

Installation

The package can be installed from pypi, optionally with uvicorn for serving the application locally:

for uvicorn:

pip install federated-collection-discovery[uvicorn]

If you are going to run the application in an AWS Lambda function, install the aws_lambda extras in the build context:

pip install federated-collection-discovery[aws_lambda]

Usage

To run the FastAPI application, set the FEDERATED_STAC_API_URLS environment variable and/or the FEDERATED_CMR_URLS environment variable, then launch it with uvicorn:

MAAP_API=https://stac.maap-project.org/
VEDA_API=https://openveda.cloud/api/stac/
ESA_API=https://catalogue.dataspace.copernicus.eu/stac
FEDERATED_STAC_API_URLS=${MAAP_API},${VEDA_API},${ESA_API} \
  uvicorn federated_collection_discovery.main:app --host 0.0.0.0 --port 8000

Development

Clone the repo

git clone git@github.com:developmentseed/federated-collection-discovery.git
cd federated-collection-discovery

Install uv

Ensure you have uv installed. If not, install it:

# install uv

# unix
curl -LsSf https://astral.sh/uv/install.sh | sh

# or on windows
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

Install federated_collection_discovery

Navigate to the src/server directory and install the dependencies (in a virtual environment) using Poetry:

uv sync --all-extras

Project details


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federated_collection_discovery-0.1.7.tar.gz (13.9 kB view hashes)

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