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https://img.shields.io/readthedocs/webgeocalc.svg?label=Docs\u0026logo=read-the-docs\u0026logoColor=white\n        :target: https://webgeocalc.readthedocs.io/\n.. |Build| image:: https://github.com/seignovert/python-webgeocalc/workflows/Continuous%20Integration/badge.svg\n        :target: https://github.com/seignovert/python-webgeocalc/actions/workflows/actions.yml\n.. |Coverage| image:: https://img.shields.io/codecov/c/github/seignovert/python-webgeocalc.svg?label=Codecov\u0026logo=codecov\u0026logoColor=white\n              :target: https://codecov.io/gh/seignovert/python-webgeocalc\n.. |CodeFactor| image:: https://www.codefactor.io/repository/github/seignovert/python-webgeocalc/badge/main\n                :target: https://www.codefactor.io/repository/github/seignovert/python-webgeocalc/overview/main\n.. |PyPI| image:: https://img.shields.io/badge/PyPI-webgeocalc-blue.svg?logo=python\u0026logoColor=white\n        :target: https://pypi.org/project/webgeocalc\n.. |Conda-Forge| image:: https://img.shields.io/badge/conda--forge-webgeocalc-blue.svg?logo=condaforge\u0026logoColor=white\n        :target: https://anaconda.org/conda-forge/webgeocalc\n.. |Python| image:: https://img.shields.io/pypi/pyversions/webgeocalc.svg?label=Python\n        :target: https://pypi.org/project/webgeocalc\n.. |Version| image:: https://img.shields.io/pypi/v/webgeocalc.svg?label=Version\n        :target: https://pypi.org/project/webgeocalc\n.. |Status| image:: https://img.shields.io/pypi/status/webgeocalc.svg?label=Status\n        :target: https://pypi.org/project/webgeocalc\n.. |DOI| image:: https://zenodo.org/badge/165558532.svg\n        :target: https://zenodo.org/badge/latestdoi/165558532\n.. |License| image:: https://img.shields.io/github/license/seignovert/python-webgeocalc.svg?label=License\n             :target: https://github.com/seignovert/python-webgeocalc/\n.. |Examples| image:: https://img.shields.io/badge/Jupyter%20Notebook-examples-blue.svg?logo=jupyter\u0026logoColor=orange\n        :target: https://nbviewer.jupyter.org/github/seignovert/python-webgeocalc/blob/main/examples/api.ipynb\n\n\nIn december 2018, `JPL/NAIF`_ announced an **experimental**\n`API RESTful interface`_ for their new `WebGeoCalc server`_\n(which make online SPICE calculations).\nDocumentation_ and `JavaScript examples`_ are already available.\n\nThis package provides a Python interface to make SPICE\ncalculations through this API.\n\n.. _`JPL/NAIF`: https://naif.jpl.nasa.gov/naif/webgeocalc.html\n.. _`API RESTful interface`: https://naif.jpl.nasa.gov/naif/WebGeocalc_announcement.pdf\n.. _`WebGeoCalc server`: https://wgc2.jpl.nasa.gov:8443/webgeocalc\n.. _Documentation: https://wgc2.jpl.nasa.gov:8443/webgeocalc/documents/api-info.html\n.. _`JavaScript examples`: https://wgc2.jpl.nasa.gov:8443/webgeocalc/example/perform-calculation.html\n\n⚠️ Caution\n----------\n\n    `WebGeoCalc`_ is not design to handle heavy calculation.\n    If you need to make intensive queries, use `Spiceypy`_ or `SpiceMiner`_\n    package with locally hosted kernels.\n\n.. _`WebGeoCalc`: https://wgc.jpl.nasa.gov:8443/webgeocalc\n.. _`Spiceypy`: https://github.com/AndrewAnnex/Spiceypy\n.. _`SpiceMiner`: https://github.com/DaRasch/spiceminer\n\n\n📦 Install\n----------\nWith ``pip``:\n\n.. code:: bash\n\n    $ pip install webgeocalc\n\nWith ``mamba/conda`` (on `conda-forge`):\n\n.. code:: bash\n\n    $ mamba install -c conda-forge webgeocalc\n\n\n🚀 Usage\n--------\n\n.. code:: python\n\n    \u003e\u003e\u003e from webgeocalc import API\n\n    \u003e\u003e\u003e API.url\n    'https://wgc2.jpl.nasa.gov:8443/webgeocalc/api'\n\n    \u003e\u003e\u003e API.kernel_sets() # /kernel-sets\n    [\u003cKernelSetDetails\u003e Solar System Kernels (id: 1),\n     ...\n     \u003cKernelSetDetails\u003e Cassini Huygens (id: 5),\n     ...\n     \u003cKernelSetDetails\u003e SPICE Class -- Binary PCK Lesson Kernels (Earth) (id: 39)]\n\n    \u003e\u003e\u003e API.bodies(5) # /kernel-sets/{kernelSetId}/bodies\n    [\u003cBodyData\u003e CASSINI (id: -82),\n     ...\n     \u003cBodyData\u003e SOLAR SYSTEM BARYCENTER (id: 0)]\n\n    \u003e\u003e\u003e API.frames('Cassini Huygens') # /kernel-sets/{kernelSetId}/frames\n    [\u003cFrameData\u003e CASSINI_SATURN_SKR4N_LOCK (id: -82982),\n     ...\n     \u003cFrameData\u003e ITRF93 (id: 13000)]\n\n    \u003e\u003e\u003e API.instruments('Cassini Huygens') # /kernel-set/{kernelSetId}/instruments\n    [\u003cInstrumentData\u003e CASSINI_CIRS_RAD (id: -82898),\n     ...\n     \u003cInstrumentData\u003e CASSINI_SRU-A (id: -82001)]\n\n\nPrepare calculation payload:\n\n.. code:: python\n\n    \u003e\u003e\u003e from webgeocalc import Calculation\n\n    \u003e\u003e\u003e calc = Calculation(\n        kernels = 'Cassini Huygens',\n        times = '2012-10-19T08:24:00.000',\n        calculation_type = 'STATE_VECTOR',\n        target = 'CASSINI',\n        observer = 'SATURN',\n        reference_frame = 'IAU_SATURN',\n        aberration_correction = 'NONE',\n        state_representation = 'PLANETOGRAPHIC',\n    )\n\n    \u003e\u003e\u003e calc.payload\n    {'kernels': [{'type': 'KERNEL_SET', 'id': 5}],\n     'times': ['2012-10-19T08:24:00.000'],\n     'calculationType': 'STATE_VECTOR',\n     'target': 'CASSINI',\n     'observer': 'SATURN',\n     'referenceFrame': 'IAU_SATURN',\n     'aberrationCorrection': 'NONE',\n     'stateRepresentation': 'PLANETOGRAPHIC',\n     'timeSystem': 'UTC',\n     'timeFormat': 'CALENDAR'}\n\nRun calculation:\n\n.. code:: python\n\n    \u003e\u003e\u003e calc.run()\n    [Calculation submitted] Status: LOADING_KERNELS (id: 19fd1c05-3bfe-47c7-bd16-28612249ae89)\n    [Calculation update] Status: COMPLETE (id: 19fd1c05-3bfe-47c7-bd16-28612249ae89)\n    {'DATE': '2012-10-19 08:24:00.000000 UTC',\n     'LONGITUDE': 46.18900522,\n     'LATITUDE': 21.26337134,\n     'ALTITUDE': 694259.8921163,\n     'D_LONGITUDE_DT': 0.00888655,\n     'D_LATITUDE_DT': -0.00031533,\n     'D_ALTITUDE_DT': 4.77080305,\n     'SPEED': 109.34997994,\n     'TIME_AT_TARGET': '2012-10-19 08:24:00.000000 UTC',\n     'LIGHT_TIME': 2.51438831}\n\n    \u003e\u003e\u003e from webgeocalc import AngularSeparation\n\nMore details can be found in the `docs`_ and in the `Jupyter Notebooks`_.\n\n.. _`docs`: https://webgeocalc.readthedocs.io/en/stable/calculation.html\n.. _`Jupyter Notebooks`: https://nbviewer.jupyter.org/github/seignovert/python-webgeocalc/blob/main/examples/calculation.ipynb\n\n\n⚙️ Command Line Interface (cli)\n-------------------------------\n\nThe webgeocalc API can be call directly from the command line interface:\n\n.. code:: bash\n\n    $ wgc-kernels --all\n     - Solar System Kernels: (id: 1)\n    ...\n     - Cassini Huygens: (id: 5)\n    ...\n     - SPICE Class -- Binary PCK Lesson Kernels (Earth): (id: 39)\n\n    $ wgc-instruments 'Cassini Huygens' --name ISS\n     - CASSINI_ISS_WAC_RAD: (id: -82369)\n     - CASSINI_ISS_NAC_RAD: (id: -82368)\n     - CASSINI_ISS_WAC: (id: -82361)\n     - CASSINI_ISS_NAC: (id: -82360)\n\n    $ wgc-state-vector --kernels 5 \\\n                       --times 2012-10-19T09:00:00 \\\n                       --target CASSINI \\\n                       --observer SATURN \\\n                       --reference_frame IAU_SATURN\n    API status:\n    [Calculation submit] Status: COMPLETE (id: 041bf912-178f-4450-b787-12a49c8a3101)\n\n    Results:\n    DATE:\n    \u003e 2012-10-19 09:00:00.000000 UTC\n    DISTANCE:\n    \u003e 764142.63776247\n    SPEED:\n    \u003e 111.54765899\n    X:\n    \u003e 298292.85744169\n    Y:\n    \u003e -651606.58468976\n    Z:\n    \u003e 265224.81187627\n    D_X_DT:\n    \u003e -98.8032491\n    D_Y_DT:\n    \u003e -51.73211296\n    D_Z_DT:\n    \u003e -2.1416539\n    TIME_AT_TARGET:\n    \u003e 2012-10-19 08:59:57.451094 UTC\n    LIGHT_TIME:\n    \u003e 2.54890548\n\nMore examples can be found in here_.\n\n.. _here: https://webgeocalc.readthedocs.io/en/stable/cli.html\n\n\n🧪 Local development and testing\n--------------------------------\n\nSetup:\n\n.. code:: bash\n\n    pip install -e .\n    pip install -r tests/requirements.txt -r docs/requirements.txt\n\nLinter:\n\n.. code:: bash\n\n    flake8 setup.py docs/conf.py tests/ webgeocalc/\n    pylint webgeocalc/ tests/*.py\n\nPytest:\n\n.. code:: bash\n\n    pytest --cov=webgeocalc/ tests/\n    pytest --nbval-lax examples/\n\nDocs:\n\n.. code:: bash\n\n    sphinx-build docs docs/_build --color -W -bhtml\n    sphinx-build docs docs/_build --color -W -bdoctest\n\n\n📣 Disclaimer\n-------------\n\nThis project is not supported or endorsed by either JPL, NAIF or NASA.\nThe code is provided *\"as is\"*, use at your own risk.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fseignovert%2Fpython-webgeocalc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fseignovert%2Fpython-webgeocalc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fseignovert%2Fpython-webgeocalc/lists"}