spoof "high accuracy" for whining apps
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- Dominant language
- Java
- Stars
- 1.1k
- Forks
- 221
- PR merge metrics
- No merged PRs in 30d
Description
After one has built a High Precision GNSS local database of mac addresses and mobile towers subsequent selection of "low power" mode should not needlessly inflict notifications urging [or outright requiring] "high power" mode. Glympse, a social gps app, is tedious in this regard.
Especially for those without g.apps provide an option to spoof power mode reported to location apps /while/ retaining an NLP mode not querying GNSS.
Can alternate NLP offer more than 3 power modes?
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing how UnifiedNlp selects low-power modes and reports power accuracy to location apps. The issue proposes both spoofing the reported power mode and adding more than three NLP modes, but names no files or tests. Done would require a decided scope, documented behavior, and verification that affected apps no longer demand high-power mode when low-power mode is selected.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- android, java
- Domain
- mobile
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100