mckero
de85aa1e8b
Addresses feedback from rt-bishop/Look4Sat#233: 1. Migrate hardcoded colors to MainTheme colorScheme - Extend darkScheme: tertiary (Active 0xFF648FFF), tertiaryContainer (Telemetry 0xFFFFB000) - Extend lightScheme: tertiary (0xFF3C6FE0), tertiaryContainer (0xFFE09800) for contrast - Remove top-level Color() constants from SatStatusScreen.kt - Add statusColorOf() mapper using MaterialTheme.colorScheme 2. Move HTTP implementation from domain to data layer (Clean Architecture) - Delete AmSatApiClient.kt from core:domain (violates AGENTS.md: "Pure Kotlin, NO Android deps") - Migrate to IRemoteSource/RemoteSource in core:data (uses existing OkHttp3) - AmSatRepository now depends on IRemoteSource instead of AmSatApiClient 3. Inline JSON parsing (prepare for java.time migration) - Parse AMSAT API responses (names, reports) in AmSatRepository - Time parsing still uses manual logic (java.time desugaring in follow-up) Before: - Hardcoded Color(0xFFXXXXXX) in UI + Repository (no theme support) - HttpURLConnection in domain layer (architecture violation) - AMSAT colors duplicated across modules After: - MaterialTheme.colorScheme.tertiary/tertiaryContainer (light/dark adaptive) - HTTP via data layer RemoteSource (follows AGENTS.md architecture) - Single source of truth for AMSAT colors Ref: https://github.com/rt-bishop/Look4Sat/pull/233#discussion_r1868599947 Ref: AGENTS.md "core:domain - Pure Kotlin (JVM). NO Android dependencies."
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.