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https://github.com/atsunatsu/Look4Sat.git
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mckero
9d437a90c9
Background: user's WaveLog server has NO v2 API (all /api/v2/* return
404; /api/qso v1 works - verified with curl). First fix only tried v2
paths, so uploads still failed with 404. Also: Log tab frequencies did
not match the Doppler panel, linear transponders showed a single
frequency instead of the passband range, and errors were toast-only
(no copy).
Changes:
- WaveLogApi: full v1 support with auto fallback
- v2 first (Bearer header + JSON fields), on 404 fall back to v1
(key inside JSON body + ADIF string) - both with and without
index.php prefix
- test connection: v2 GET api/v2/token -> v1 POST
api/get_contacts_adif (validates key + station id)
- station gridsquare is v2-only; on v1 the uploader falls back to
the user's QTH grid (grid check skipped/equal)
- v1 ADIF: call/band=SAT/mode/freq+freq_rx (MHz)/qso_date/time_on
(UTC, compact)/gridsquare(4)/sat_name/prop_mode=SAT, byte-length
field prefixes
- 409 duplicate counts as success in both versions
- Error dialog with copy: test/upload failures now open an AlertDialog
with the full error (incl. actual URL + HTTP code), Copy button
(ClipboardManager) and Cancel; uploader collects the first failure
message
- Log tab frequency sync: LogTab receives txBaseFrequencyHz from the
radar page (the tuned frequency shown in the transceiver panel);
RX is computed through the same Doppler mapping as the Doppler
panel; linear transponders show the full uplink/downlink range
(Doppler-corrected low-high) instead of a single frequency
- Restored uploadWavelogQueue (lost in an earlier patch)
Verified: check_strings.py OK (8 files, 452/4.5.2);
:app:compileDebugKotlin BUILD SUCCESSFUL.
Look4Sat: Satellite tracker
Radio satellite tracker and pass predictor for Android, inspired by Gpredict
Track satellite passes with ease!
Thanks to Celestrak and SatNOGS you have access to over 9000 active satellites.
You can search the entire database by NORAD Catalog Number or the satellite's name.
Orbital positions and passes are calculated relative to your location.
To get reliable data make sure to set the station position via the app Settings.
The application is built using Kotlin, Coroutines, Jetpack Compose and Navigation.
It is now and always will be completely ad-free and open-source.
Main features:
- Predicting satellite positions and passes for up to 10 days
- Showing the list of currently active and upcoming satellite passes
- Showing the active pass progress, polar trajectory and transceivers info
- Showing the satellite positional data, footprint and ground track on the map
- Custom TLE satellite data import is available via Three Line Element .txt files
- Offline first: calculations are made offline. Weekly TLE data update is recommended.