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},${ESA_API} \
uvicorn federated_collection_discovery.main:app --host 0.0.0.0 --port 8000
Development
Clone the repo
git clone git@github.com:developmentseed/federated-collection-discovery.git
cd federated-collection-discovery
Install Poetry
Ensure you have Poetry installed. If not, install it:
curl -sSL https://install.python-poetry.org | python3 -
Add Poetry to your system's PATH:
-
For Unix/MacOS:
export PATH="$HOME/.local/bin:$PATH"
Add the above line to your shell configuration file (
~/.bashrc
,~/.bash_profile
, or~/.zshrc
) to make it permanent. -
For Windows:
Add the path to your
PATH
environment variable through the system environment variable settings.
Install
Navigate to the src/server
directory and install the dependencies (in a virtual
environment) using Poetry:
python3 -m venv env
source env/bin/activate
cd src/server
poetry install
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