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Metadata-Version: 2.1
Name: orbit-predictor
Version: 1.15.0
Summary: Python library to propagate satellite orbits.
Home-page: https://github.com/satellogic/orbit-predictor
Author: Satellogic SA
Author-email: oss@satellogic.com
License: MIT
Keywords: orbit,sgp4,TLE,space,satellites
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.4
Provides-Extra: fast
Provides-Extra: dev
License-File: LICENSE
Orbit Predictor
===============
.. image:: https://github.com/satellogic/orbit-predictor/workflows/Python%20package/badge.svg
:target: https://github.com/satellogic/orbit-predictor/actions
.. image:: https://coveralls.io/repos/github/satellogic/orbit-predictor/badge.svg?branch=master
:target: https://coveralls.io/github/satellogic/orbit-predictor?branch=master
Orbit Predictor is a Python library to propagate orbits of Earth-orbiting objects (satellites, ISS,
Santa Claus, etc) using `TLE (Two-Line Elements set) <https://en.wikipedia.org/wiki/Two-line_element_set>`_
All the hard work is done by Brandon Rhodes implementation of
`SGP4 <https://github.com/brandon-rhodes/python-sgp4>`_.
We can say *Orbit predictor* is kind of a "wrapper" for the python implementation of SGP4
To install it
-------------
You can install orbit-predictor from pypi::
pip install orbit-predictor
Use example
-----------
When will be the ISS over Argentina?
::
In [1]: from orbit_predictor.sources import EtcTLESource
In [2]: from orbit_predictor.locations import ARG
In [3]: source = EtcTLESource(filename="examples/iss.tle")
In [4]: predictor = source.get_predictor("ISS")
In [5]: predictor.get_next_pass(ARG)
Out[5]: <PredictedPass ISS over ARG on 2017-11-10 22:48:10.607212>
In [6]: predicted_pass = _
In [7]: position = predictor.get_position(predicted_pass.aos)
In [8]: ARG.is_visible(position) # Can I see the ISS from this location?
Out[8]: True
In [9]: import datetime
In [10]: position_delta = predictor.get_position(predicted_pass.los + datetime.timedelta(minutes=20))
In [11]: ARG.is_visible(position_delta)
Out[11]: False
In [12]: tomorrow = datetime.datetime.utcnow() + datetime.timedelta(days=1)
In [13]: predictor.get_next_pass(ARG, tomorrow, max_elevation_gt=20)
Out[13]: <PredictedPass ISS over ARG on 2017-11-11 23:31:36.878827>
Simplified creation of predictor from TLE lines:
::
In [1]: import datetime
In [2]: from orbit_predictor.sources import get_predictor_from_tle_lines
In [3]: TLE_LINES = (
"1 43204U 18015K 18339.11168986 .00000941 00000-0 42148-4 0 9999",
"2 43204 97.3719 104.7825 0016180 271.1347 174.4597 15.23621941 46156")
In [4]: predictor = get_predictor_from_tle_lines(TLE_LINES)
In [5]: predictor.get_position(datetime.datetime(2019, 1, 1))
Out[5]: Position(when_utc=datetime.datetime(2019, 1, 1, 0, 0),
position_ecef=(-5280.795613274576, -3977.487633239489, -2061.43227648734),
velocity_ecef=(-2.4601788971676903, -0.47182217472755117, 7.167517631852518),
error_estimate=None)
Currently you have available these sources
------------------------------------------
- Memorytlesource: in memory storage.
- EtcTLESource: a uniq TLE is stored in `/etc/latest_tle`
- WSTLESource: It reads a REST API currently used inside Satellogic. We are are working to make it publicly available.
How to contribute
-----------------
- Write pep8 complaint code.
- Wrap the code on 100 collumns.
- Always use a branch for each feature and Merge Proposals.
- Always run the tests before to push. (test implies pep8 validation)
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