- Modified get_recent_packets to not filter by has_position when tracking a specific callsign
- Ensures users can see status updates, messages, and other non-position packets
- Fixes issue where callsigns without recent position data wouldn't show any packets
- Updated documentation to reflect this behavior
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Update the PostgreSQL notify_packets_insert trigger to send all necessary
fields when broadcasting new packets. Previously only minimal fields were
sent (id, sender, lat, lon, inserted_at), which prevented the info page
from displaying complete packet information during live updates.
The trigger now includes:
- Position data (lat, lon, altitude, course, speed)
- Symbol data (symbol_table_id, symbol_code)
- Device data (device_identifier, path)
- Metadata (received_at, comment, raw_packet)
- PHG data (phg_power, phg_height, phg_gain, phg_directivity)
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add SKIP_DB_CREATE env var to skip database creation when using PgBouncer
- Fix redis_children() to return proper child specs
- Implement zero-downtime graceful shutdown without user notifications
- Add health check plug for Kubernetes probes
- Remove user-facing shutdown notifications for seamless deployments
Co-Authored-By: Claude <noreply@anthropic.com>
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>
