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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for federated_collection_discovery-0.1.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 492b635b825f7c59fd98566974eb5b096ca57f25dae65cfd7b404f083ac925e3 |
|
MD5 | 0269ca512a08fb4b77ef817b7cf48fd1 |
|
BLAKE2b-256 | 4bb8c8793b728a9c1bbaf0f81c4d101fb3e677f34a62be7e00452664a5f41425 |
Hashes for federated_collection_discovery-0.1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9ad7c61854aad02e5479065566f3626157b9de656f55f0a5f8b090156331f71c |
|
MD5 | e00fd291f150f5d50fdd806633edf22d |
|
BLAKE2b-256 | f446811bdef6e6b0b0f8ec215a6c4240e1c6ec78735e615f58ea895191f1ae72 |