- Replace invalid wildcard domains (*.aprs.me) with explicit origins
- Phoenix doesn't support wildcard syntax in check_origin
- Added specific domains for aprs.me, sentry.io, and openstreetmap.org
- Updated CLAUDE.md with kubectl commands for debugging k3s deployment
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Co-Authored-By: Claude <noreply@anthropic.com>
Fixed the esbuild errors during Docker build where npm packages couldn't
be resolved. The issue was caused by node_modules being excluded from
the Docker build context in .dockerignore.
Implemented a proper vendor bundle strategy following Phoenix 1.7+ patterns:
- Created vendor.js that bundles all npm dependencies (Leaflet, Chart.js,
topbar) and their CSS files into a single pre-built bundle
- Added vendor esbuild profile in config.exs with proper CSS/image loaders
- Updated mix.exs to build vendor bundle before app bundle in assets.deploy
- Modified JavaScript imports to use globally loaded libraries from vendor
bundle instead of importing from node_modules
- Added vendor.js script tag to root.html.heex before app.js
This approach avoids Docker build failures by pre-bundling all vendor
dependencies, eliminating the need for node_modules during production builds.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Moved CSS imports from Tailwind config to JavaScript to let ESBuild handle them.
This fixes the Docker build error where Tailwind couldn't resolve node_modules paths.
- Removed CSS @import statements from app.css
- Added CSS imports to map.ts where Leaflet is used
- Configured ESBuild to handle CSS and image files
- Added missing topbar package to package.json
- Updated both dev and prod ESBuild configs
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
The Docker build was failing because the Chart.js date adapter was trying
to require("chart.js") but esbuild couldn't resolve it since Chart.js is
loaded as a UMD file, not a CommonJS module.
Added --external:chart.js to the vendor esbuild configuration to tell
esbuild not to try bundling chart.js when it encounters require("chart.js")
in the date adapter. This is correct because Chart.js is already loaded
globally from the UMD file.
This fixes the "Could not resolve 'chart.js'" error during production builds.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
This change eliminates all external CDN dependencies by bundling JavaScript
libraries locally using esbuild. All vendor files are now served from the
application's own assets, improving reliability and privacy.
Changes:
- Created assets/js/vendor.js to bundle all external libraries
- Added vendor bundle configuration to esbuild in config files
- Updated all templates to use local vendor.js instead of CDN scripts
- Created download-vendor-files.sh script to fetch vendor libraries
- Added vendor files to .gitignore (they're downloaded during setup)
- Updated CSS imports to include vendor stylesheets
- Added vendor build step to assets.deploy mix task
Bundled libraries:
- Leaflet 1.9.4 (mapping library)
- Leaflet.heat 0.2.0 (heatmap plugin)
- Leaflet.markercluster 1.5.3 (marker clustering)
- OverlappingMarkerSpiderfier 0.2.6 (overlapping marker handling)
- Chart.js 4.5.0 (charting library)
- chartjs-adapter-date-fns 3.0.0 (date adapter for Chart.js)
All functionality tested and working correctly with local bundles.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Reduced batch processing parameters to prevent excessive GC:
- Reduced batch_size from 500 to 100 packets
- Adjusted batch_timeout from 2000ms to 1000ms for faster processing
- Reduced max_demand from 750 to 300 to match smaller batches
- Updated hardcoded fallback from 500 to 100 in packet_consumer.ex
- Changed minor GC trigger from 500 to 100 packets to match batch size
These smaller batch sizes were proven to work well in production and
should significantly reduce the frequency of garbage collection while
maintaining good performance.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Create PacketConsumerPool to run 3 parallel consumers (configurable)
- Increase max_demand from 250 to 750 total (250 per consumer)
- Fix timer management to properly cancel/restart on batch processing
- Configure proper GenStage subscriptions with backpressure control
- Allow unnamed consumers for pool usage
This 3x increase in processing capacity prevents the "Packet buffer full"
warnings by ensuring consumers can keep up with incoming packet rate.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
This commit introduces several major performance improvements and adds
robust error handling for malformed HTTP requests:
Performance Optimizations:
- Add database migration with BRIN indexes for time-series data and partial
indexes for recent queries, significantly improving query performance
- Create global StreamingPacketsPubSub system for real-time packet distribution
with geographic bounds filtering using ETS for fast lookups
- Refactor PacketConsumer to use Stream module for memory-efficient processing,
preventing memory accumulation during batch operations
- Implement dedicated BroadcastTaskSupervisor pool for async broadcast operations,
preventing GenServer blocking on I/O
- Increase database connection pool from 25 to 45 (production) and 15 to 30 (dev)
for better concurrency support
Error Handling:
- Add SentryFilter to prevent Bandit.HTTPError from missing Host headers from
cluttering Sentry (common with bots/scanners)
- Configure custom 400 Bad Request error handling
- Filter out common bot/scanner paths from error reporting
All changes include comprehensive test coverage following TDD practices.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Removed all console.log debugging statements from app.js (theme changes, chart rendering)
- Removed all console.log statements from map.ts (map initialization, data processing)
- Removed all console.debug statements from map_helpers.ts
- Removed all console.debug statements from map_fixes.ts
- Kept essential console.error and console.warn statements for error handling
- Reduced bundle size by ~1.4kb
This cleanup removes unnecessary debug output while maintaining error reporting
for production debugging via console.error and Sentry.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fix "this.__view is undefined" error when calling pushEvent in event handlers
- Bind pushEvent context properly in all marker click and hover handlers
- Replace undefined sendBoundsToServer calls with saveMapState
- Ensure all event handlers check for pushEvent availability and type
- Use .bind(self) to preserve LiveView hook context in callbacks
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Restored original PacketConsumer implementation from before optimizations
- Reverted to fixed batch size of 50 packets (original value)
- Removed SystemMonitor and InsertOptimizer from application startup
- Restored original config with buffer size 1000 and batch timeout 1000ms
- Removed all dynamic batch sizing and optimization logic
The recent performance optimizations were causing packet buffer overflows
because the dynamic batch sizing was actually slowing down processing.
Reverting to the simpler, working implementation that processes packets
consistently without buffer overflows.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Increased packet buffer size from 1,000 to 10,000 to handle traffic spikes
- Removed InsertOptimizer dynamic batch sizing that was slowing processing
- Reverted to fixed batch size of 200 for consistent performance
- Simplified insert options to use static configuration
- Added telemetry metrics for buffer overflow and utilization monitoring
- Fixed unused variable warning in packet_consumer.ex
The root cause was the recent performance optimizations that introduced
dynamic batch sizing, which actually degraded performance and caused
the producer buffer to overflow when the consumer couldn't keep up.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>