mckero
77314e824e
自查上一轮修复时发现两处改动根本没生效, 属于我上一轮的误判, 这里改成真修复。
## 1. 过境结束不切换 (上一轮改动无效)
上一轮在 tick 循环里加了"过境结束就重新 findCurrentPass()"。但
findCurrentPass() 的第一级匹配是:
passes.find { it.catNum == catNum && it.aosTime == aosTime }
其中 (catNum, aosTime) 来自 satelliteRepo.selectedPass, 而 selectPass()
只在 MainScreen 用户点击过境时调用 (grep 全仓库确认 3 处调用点全在
MainScreen), 雷达页运行期间该值不变。所以过境结束后重新查询仍然精确命中
同一个已结束的过境, nextPass != pass 恒为 false, 一次都切不过去。
模拟脚本复刻 findCurrentPass 四级回退 + tick 循环验证:
修复前 ISS(10:00-10:10) 结束后, 到 10:19 仍在 tick ISS, 切换 0 次
修复后 10:11 切到 NOAA-18(10:15-10:25), 切换 1 次
边界: 最后一个过境结束后无下一个, 保持当前不崩溃
改为新增 findNextPassAfter(): 取 aosTime > current.losTime 的过境, 优先
同一颗卫星的下一圈 (雷达继续跟这颗星), 没有则退回任意卫星最早的那个。
## 2. 重复提交 QSO (上一轮改动无效)
上一轮加的 submitting 标志位没有任何作用: submit() 全程同步, 进入时置
true, 返回前置 false, 中间没有挂起点。两次 IME onDone 是两个独立事件,
第二次进来时标志早已复位。
改为记录上次入库的呼号与时间戳, 同一呼号在 2 秒内重复提交直接忽略。
这才是实际要防的场景 (误触两次回车存两条同样的 QSO)。
验证: :feature:radar:compileReleaseKotlin 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.
License
The Look4Sat application code is licensed under the GNU General Public License v3.0.
The CW decoder in feature/cw bundles the DeepCW
neural decoding model, licensed under the GNU Affero General Public License v3.0 only
(AGPL-3.0-only). Because the combined work incorporates an AGPL-3.0 component, the
combined work is distributed under the
GNU Affero General Public License v3.0 — GPL-3.0 Section 13 permits the
combination, and AGPL-3.0 Section 13 applies to the combined work as a whole.
Model provenance and attribution are documented in
feature/cw/licenses/NOTICE.md; the original GPL-3.0
text is preserved at feature/cw/licenses/Look4Sat-GPL-3.0.txt. The CW model runs
locally on-device and does not provide services over a network.