Commit graph

6 commits

Author SHA1 Message Date
41cc642d7e
Fix compile warnings and add comprehensive mobile channel tests
- Fix unsubscribe_from_bounds -> unsubscribe (function doesn't exist)
- Fix search_callsign query to use 'lon' instead of 'lng' field
- Add comprehensive test suite for mobile channel:
  - Join and subscription tests
  - Bounds validation tests
  - Callsign search tests
  - Callsign tracking tests
  - Streaming packet tests
  - Packet data format tests
  - 29 tests total, all passing

Created test/support/channel_case.ex for channel testing infrastructure.

Generated with Claude Code https://claude.com/claude-code
2025-10-25 13:18:55 -05:00
ae14b120fa
Remove Redis/Cachex dependency, use pure ETS for caching
- Replace Cachex with native ETS (Erlang Term Storage) in Cache module
- Remove Redis-based caching logic from application.ex
- Always initialize ETS tables for device_cache, query_cache, symbol_cache
- Update StatusLive to use Aprsme.Cache instead of Cachex directly
- Fix crash on startup when REDIS_URL was set but Redis not used

This fixes the no_cache error that was causing pods to crash.
2025-10-24 17:12:38 -05:00
cc4578653f
cleanup and remove redis 2025-10-22 16:19:17 -05:00
5e3f0bc5cf
fix coord bug 2025-10-19 09:06:58 -05:00
1b638cf739
chore: add contributor guide and harden cache/csrf helpers 2025-10-15 11:53:21 -05:00
226a53bf61
Add Redis-based distributed caching and rate limiting
This commit introduces a dual-mode caching and rate limiting system that can use
either Redis (for distributed deployments) or ETS/Cachex (for single-node setups).

Key changes:
- Add Cache abstraction layer that automatically switches between Redis and Cachex
- Implement RedisCache module with full distributed cache functionality
- Implement RedisRateLimiter with sliding window algorithm for accurate rate limiting
- Add RateLimiterWrapper to provide unified API for both implementations
- Update application startup to conditionally use Redis when REDIS_URL is set
- Migrate all cache operations to use the new Cache abstraction
- Support graceful fallback to ETS-based solutions when Redis is unavailable

The system automatically detects Redis availability via REDIS_URL environment
variable and switches between implementations without code changes. This enables
proper distributed caching and rate limiting in Kubernetes deployments while
maintaining backward compatibility for development environments.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-26 15:29:38 -05:00