A Universal Data Access DSL [part-ii-udsl]

The design and implementation of a jq-like EDSL allowing programmers to abstract away the format in which data is stored (YAML, EXIF metadata etc.) and the file system being used – e.g. open("a/b/[c,d]") could mean "fields c, d in YAML file b of ZIP file a", or it could mean "fields b.c, b.d in JSON file a". My project would statically examine the filesystem to decide which case we're in, giving data scientists an easy way to declare the shape of the data they depend on. Success criteria include projection (correctly reading the data based on the file type), subtyping (e.g. JSON-LD is a child of JSON) and perhaps some compiler optimisations related to parsing (e.g. only loading a JSON library if the file is actually JSON).