#3. Save the output
# fileUtil.save_file(outputRDD, outputFilename, "text", "json")
#4. Reduce rdds
reducedRDD = workflow.reduce_rdds(numFramerPartitions, outputRDD)
reducedRDD.persist()
types = [
{"name": "E39_Actor", "uri": "http://www.cidoc-crm.org/cidoc-crm/E39_Actor"},
{"name": "E82_Actor_Appellation", "uri": "http://www.cidoc-crm.org/cidoc-crm/E82_Actor_Appellation"},
{"name": "E67_Birth", "uri": "http://www.cidoc-crm.org/cidoc-crm/E67_Birth"},
{"name": "E69_Death", "uri": "http://www.cidoc-crm.org/cidoc-crm/E69_Death"},
{"name": "E52_Time-Span", "uri": "http://www.cidoc-crm.org/cidoc-crm/E52_Time-Span"}
]
frames = [
{"name": "npgConstituents", "url": "https://raw.githubusercontent.com/american-art/aac-alignment/master/frames/npgConsitituents.json-ld"}
]
type_to_rdd_json = workflow.apply_partition_on_types(reducedRDD, types)
#5. Apply framer
framer_output = workflow.apply_framer(reducedRDD, type_to_rdd_json, frames, numFramerPartitions, 10)
for frame_name in framer_output:
#6. Map function
framer_output[frame_name] = framer_output[frame_name].mapValues(mapFunc)
fileUtil.save_file(framer_output[frame_name], outputFilename + "/" + frame_name, 'text', 'json')
print "Save to:", ("---" + frame_name)
