Apache License 2.0

项目介绍

giorgiobasile/prefect-earthdata 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 Apache License 2.0 许可证,目前获得 23 个 Star、0 次 Fork。

仓库全名
giorgiobasile/prefect-earthdata
开源许可证
Apache License 2.0
Star 数
23

README 摘要

prefect-earthdata Visit the full docs here to see additional examples and the API reference. Prefect integrations with NASA Earthdata, taking advantage of the earthaccess library. Getting started prefect-earthdata provides a Prefect credentials block and a few tasks to interact with NASA Earthdata. It does so by leveraging the earthaccess library and its API. Loading the EarthdataCredentials block with your…

完整内容见 GitHub 原始 README 或本页 。

常见问题

prefect-earthdata 用什么语言开发?

主要使用 Python 编写,采用 Apache License 2.0 许可证,目前有 23 个 Star。

prefect-earthdata 可以免费商用吗?

仓库采用 Apache License 2.0 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 prefect-earthdata 的源码?

可以直接克隆仓库:git clone https://github.com/giorgiobasile/prefect-earthdata.git,默认分支为 main;安装与运行步骤见仓库 README。

prefect-earthdata 最近还在维护吗?

仓库最近一次更新为 2025年9月28日,当前没有未关闭的 Issue;Star 数为 23,可作为社区活跃度的参考。

简要分析

热度分
24
价值分
13
活跃状态
归档

语言占比

Python

Release

README

prefect-earthdata

PyPI

Visit the full docs here to see additional examples and the API reference.

Prefect integrations with NASA Earthdata, taking advantage of the earthaccess library.

Getting started

prefect-earthdata provides a Prefect credentials block and a few tasks to interact with NASA Earthdata. It does so by leveraging the earthaccess library and its API.

Loading the EarthdataCredentials block with your credentials, corresponds to calling the earthaccess.login() function.

After that, all other earthaccess functions can be directly used, without having to login again.

Nevertheless, a few tasks are provided to help taking full advantage of Prefect’s observability features.

Search and download on NASA Earthdata

from prefect import flow, get_run_logger

from prefect_earthdata.credentials import EarthdataCredentials
from prefect_earthdata.tasks import download, search_data


@flow(log_prints=True)
def example_earthdata_download_flow():

    logger = get_run_logger()

    earthdata_credentials = EarthdataCredentials.load("earthdata-credentials")

    granules = search_data(
        earthdata_credentials,
        count=1,
        short_name="ATL08",
        bounding_box=(-92.86, 16.26, -91.58, 16.97),
    )

    logger.info(f"File URL: {granules[0].data_links()[0]}")

    download_path = "/tmp"

    logger.info(f"Downloading data to {download_path}")
    files = download(
        credentials=earthdata_credentials,
        granules=granules,
        local_path=download_path,
    )
    logger.info(f"Downloaded files: {files}")

    return granules, files

example_earthdata_download_flow()

Output:

21:07:16.603 | INFO    | prefect.engine - Created flow run 'cheerful-peacock' for flow 'example-earthdata-download-flow'
21:07:18.121 | INFO    | Flow run 'cheerful-peacock' - Created task run 'search_data-0' for task 'search_data'
21:07:18.121 | INFO    | Flow run 'cheerful-peacock' - Executing 'search_data-0' immediately...
21:07:19.642 | INFO    | Task run 'search_data-0' - You're now authenticated with NASA Earthdata Login
21:07:19.644 | INFO    | Task run 'search_data-0' - Using token with expiration date: 09/01/2023
21:07:20.243 | INFO    | Task run 'search_data-0' - Using environment variables for EDL
21:07:21.432 | INFO    | Task run 'search_data-0' - Granules found: 760
21:07:22.211 | INFO    | Task run 'search_data-0' - Finished in state Completed()
21:07:22.225 | INFO    | Flow run 'cheerful-peacock' - File URL: https://data.nsidc.earthdatacloud.nasa.gov/nsidc-cumulus-prod-protected/ATLAS/ATL08/005/2018/11/05/ATL08_20181105083647_05760107_005_01.h5
21:07:22.226 | INFO    | Flow run 'cheerful-peacock' - Downloading data to /tmp
21:07:22.586 | INFO    | Flow run 'cheerful-peacock' - Created task run 'download-0' for task 'download'
21:07:22.587 | INFO    | Flow run 'cheerful-peacock' - Executing 'download-0' immediately...
21:07:24.529 | INFO    | Task run 'download-0' - We are already authenticated with NASA EDL
21:07:28.677 | INFO    | Task run 'download-0' -  Getting 1 granules, approx download size: 0.0 GB
QUEUEING TASKS | : 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 2016.49it/s]
PROCESSING TASKS | : 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:11<00:00, 11.45s/it]
COLLECTING RESULTS | : 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 25115.59it/s]
21:07:40.388 | INFO    | Task run 'download-0' - Finished in state Completed()
21:07:40.392 | INFO    | Flow run 'cheerful-peacock' - Downloaded files: ['ATL08_20181105083647_05760107_005_01.h5']
21:07:41.243 | INFO    | Flow run 'cheerful-peacock' - Finished in state Completed()

Resources

For more tips on how to use tasks and flows in a Collection, check out Using Collections!

Installation

Install prefect-earthdata with pip:

pip install prefect-earthdata

Requires an installation of Python 3.8+.

We recommend using a Python virtual environment manager such as pipenv, conda or virtualenv.

These tasks are designed to work with Prefect 2.0. For more information about how to use Prefect, please refer to the Prefect documentation.

Feedback

If you encounter any bugs while using prefect-earthdata, feel free to open an issue in the prefect-earthdata repository.

If you have any questions or issues while using prefect-earthdata, you can find help in either the Prefect Discourse forum or the Prefect Slack community.

Feel free to star or watch prefect-earthdata for updates too!

Contributing

If you’d like to help contribute to fix an issue or add a feature to prefect-earthdata, please propose changes through a pull request from a fork of the repository.

Here are the steps:

  1. Fork the repository
  2. Clone the forked repository
  3. Install the repository and its dependencies:
pip install -e ".[dev]"
  1. Make desired changes
  2. Add tests
  3. Insert an entry to CHANGELOG.md
  4. Install pre-commit to perform quality checks prior to commit:
pre-commit install
  1. git commit, git push, and create a pull request

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