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
44 lines
874 B
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44 lines
874 B
Text
# The directory Mix will write compiled artifacts to.
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/_build/
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# If you run "mix test --cover", coverage assets end up here.
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/cover/
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# The directory Mix downloads your dependencies sources to.
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/deps/
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# Where 3rd-party dependencies like PHX://priv/static/
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# temporary files for e.g. tests
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/tmp/
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# Ignore package tarball (built via "mix hex.build").
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microwaveprop-*.tar
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# Ignore assets that are produced by build tools.
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/priv/static/assets/
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# Ignore digested assets cache.
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/priv/static/cache_manifest.json
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# In case you use Node.js/Tailwind standalone binary
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/assets/node_modules/
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# Ignore database dumps
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*.sql
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*.dump
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# Dotenv files
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.env
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.env.*
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# Trained ML model weights — tracked in git for Docker builds
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# GRIB2 test fixtures (large binary files, downloaded on-demand)
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/test/fixtures/grib2/*.grib2
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# Git worktrees
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/.worktrees/
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# OS files
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.DS_Store
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Thumbs.db
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