Orbit Predictor is a Python library to propagate orbits of Earth-orbiting objects (satellites, ISS, Santa Claus, etc) using TLE (Two-Line Elements set)
Al the hard work is done by Brandon Rhodes implementation of SGP4.
We can say Orbit predictor is kind of a "wrapper" for the python implementation of SGP4
You can install orbit-predictor from pypi:
pip install orbit-predictor
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)
WSTLESource needs the tle.satellogic.com service to be working. We are doing changes to have it public available.
- Memorytlesource: in memory storage.
- EtcTLESource: a uniq TLE is stored in /etc/latest_tle
- WSTLESource: It source is using the TLE API.
The default 'predictor' code is tunned to low CPU usage. (IE: a Satellite computer). The error estimation is ~20 seconds. If you need more than that you can use the HighAccuracyTLEPredictor passing precise=True to get_predictor().
- 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)