chore(refactor): optimize memory footprint by extracting inline regex and hardening error handling

[Himanth-reddy]

Overview

This PR combines 5 separate auto-refactoring branches into a single, cohesive update to improve application performance and stability. The primary focus of these changes is to reduce memory allocations and CPU overhead during heavily repeated operations, particularly in string parsing and JSON deserialization.

Key Optimizations

1. Regex Instantiation Optimization:

   • Extracted numerous inline Regex(...) instantiations into static private object or companion object constants (e.g., TvVMRegexes, LiveTvScreenRegexes, etc.).
   • Impact: Prevents the JVM from repeatedly compiling regex state machines on every function invocation (often inside tight loops or UI recompositions). This drastically reduces CPU churn and garbage collection (GC) overhead on memory-constrained TV devices.

2. Hardened Error Handling:

   • Added explicit AppLogger.e(...) calls to catch blocks that were previously failing silently (such as Hero logo fetch failed, warmXtreamVodCachesIfPossible failed).
   • Impact: Improves telemetry and debugging capabilities without risking application crashes.

3. Safer Gson TypeToken Usage:

   • Migrated anonymous TypeToken subclass initializations (e.g., object : TypeToken<List<...>>() {}.type) to using TypeToken.getParameterized(...).
   • Impact: Removes the risk of memory leaks caused by implicit outer-class references in anonymous subclasses and reduces runtime reflection costs.