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package sandcrawler
import cascading.tuple.Fields
import parallelai.spyglass.hbase.HBaseConstants.SourceMode
import parallelai.spyglass.hbase.HBaseSource
import scala._
object HBaseBuilder {
// map from column families to column names
val schema = Map("f" -> List("c"),
"file" -> List("size", "mime", "cdx"),
"grobid0" -> List("status_code", "quality", "status", "tei_xml", "tei_json", "metadata"),
"match0" -> List("status", "doi", "info"))
// map from colFamily:colName -> colFamily
// Code from https://stackoverflow.com/a/50595189/6310511
val inverseSchema = for ((k, vs) <- schema; v <- vs) yield (k + ":" + v, k)
@throws(classOf[IllegalArgumentException])
def parseColSpec(colSpecs: List[String]) : (List[String], List[Fields]) = {
// Verify that all column specifiers are legal.
for (colSpec <- colSpecs) {
if (!(inverseSchema contains colSpec)) {
throw new IllegalArgumentException("No such column: " + colSpec)
}
val pair = colSpec split(":")
if (colSpec.split(":").length != 2) {
throw new IllegalArgumentException("Bad column specifier " + colSpec +
" (specifiers should be family:name)")
}
}
// Produce and return a tuple containing:
// 1. A list of column families.
// 2. A corresponding list of Fields, each containing column names.
val groupMap: Map[String, List[String]] = colSpecs.groupBy(c => (c split ":")(0))
val families = groupMap.keys.toList
val groupedColNames : List[List[String]] = families map {fam => {
val cols = {groupMap(fam).map(v => v.split(":")(1))}
cols}}
(families, groupedColNames.map({fields => new Fields(fields : _*)}))
}
/*
def build(table: String, server: String, colSpec: List[String], sourceMode: SourceMode, keyList: List[String]) {
val (families: List[String], fields: List[Fields]) = parseColSpec(colSpec)
new HBaseSource(table, server, new Fields("key"), families, fields, sourceMode = sourceMode, keyList = keyList)
}
*/
}
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