Add the temporal-covering projection generator#25
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estebanzimanyi merged 1 commit intoJul 7, 2026
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Project the catalog's temporalCovering block onto the canonical, language-agnostic covering-column contract: per temporal type, the ordered covering columns with the fully-composed MEOS expression that derives each from the value (e.g. tgeompoint xmin = stbox_xmin(tspatial_to_stbox(VALUE)), srid = tspatial_srid(VALUE); tfloat vmin = tbox_xmin(tnumber_to_tbox(VALUE))). Every binding generator renders this same contract in its own idiom — a DuckDB GENERATED column, a Spark UDF projection, a PyMEOS writer — so a temporal table prunes the same way on every platform (Iceberg manifest + Parquet row-group min/max). The VALUE placeholder is the temporal column reference the binding substitutes. generator/covering.py is the pure dict->dict projection; generate_covering.py is the CLI writing output/meos-covering-projection.json. Mirrors the generate_movfeat_openapi.py / generator/movfeat.py projection idiom.
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Projects the catalog's
temporalCoveringblock onto the canonical, language-agnostic covering-column contract — per temporal type, the ordered covering columns with the fully-composed MEOS expression that derives each from the value. This is the reference rendering every binding generator (PyMEOS, JMEOS, MobilityDuck, MobilitySpark, …) reproduces in its own idiom, so a temporal table prunes the same way on every platform (Iceberg manifest + Parquet row-group min/max).generator/covering.pyrenders the projection;tests/test_covering_projection.pyholds the worked examples.