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ML Integration: - Load trained model at app startup, cache compiled predict fn in persistent_term - Grid worker uses batched ML prediction (10K chunks) when model loaded, falls back to algorithm scorer when not - ML score replaces composite, algorithm factor scores preserved for detail view - Fix process explosion: single EXLA call per chunk instead of per-grid-point QSO Features: - Callsign search (ILIKE on station1/station2) with trigram indexes - Reciprocal QSO grouping (same pair, same band, same hour) - Wider layout (max-w-7xl) for data table pages - QSO Training Data link on map page Infrastructure: - Re-enable hourly propagation grid worker in dev - Track ML model weights in git for Docker builds - Add btree indexes on qsos (timestamp, band, distance_km) - Remove nav icons from layout header |
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| lib | ||
| priv | ||
| rel/overlays/bin | ||
| test | ||
| .dockerignore | ||
| .formatter.exs | ||
| .gitignore | ||
| .tool-versions | ||
| AGENTS.md | ||
| algo.md | ||
| CLAUDE.md | ||
| Dockerfile | ||
| elevation.md | ||
| mix.exs | ||
| mix.lock | ||
| prediction.md | ||
| README.md | ||
Microwaveprop
To start your Phoenix server:
- Run
mix setupto install and setup dependencies - Start Phoenix endpoint with
mix phx.serveror inside IEx withiex -S mix phx.server
Now you can visit localhost:4000 from your browser.
Ready to run in production? Please check our deployment guides.
Learn more
- Official website: https://www.phoenixframework.org/
- Guides: https://hexdocs.pm/phoenix/overview.html
- Docs: https://hexdocs.pm/phoenix
- Forum: https://elixirforum.com/c/phoenix-forum
- Source: https://github.com/phoenixframework/phoenix