def generate_refined_intermediate_sonata_queries(self):
qid_2_queries_refined = {}
refined_sonata_queries = {}
filter_mappings = {}
# First update the Sonata queries for different levels
for (qid, sonata_query) in self.qid_2_query.iteritems():
if qid in self.qid_2_query:
refined_sonata_queries[qid] = {}
refinement_key = self.per_query_refinement_key[qid]
ref_levels = self.ref_levels
for ref_level in ref_levels[1:]:
refined_sonata_queries[qid][ref_level] = {}
refined_query_id = get_refined_query_id(sonata_query, ref_level)
refined_sonata_query = apply_refinement_plan(sonata_query, refinement_key, refined_query_id,
ref_level)
qid_2_queries_refined[refined_query_id] = refined_sonata_query
# Create target-specific partition object for this refined query
partition_object = Partition(refined_sonata_query, self.target, ref_level)
# generate intermediate queries for learning
partition_object.generate_partitioned_queries_learning()
# update intermediate queries and filter mappings
sonata_intermediate_queries = partition_object.intermediate_learning_queries
filter_mappings_tmp = partition_object.filter_mappings
filter_mappings.update(filter_mappings_tmp)
# Update refined sonata queries
for part_qid in sonata_intermediate_queries:
refined_sonata_queries[qid][ref_level][part_qid] = sonata_intermediate_queries[part_qid]
self.refined_sonata_queries = refined_sonata_queries
self.filter_mappings = filter_mappings
self.qid_2_refined_queries = qid_2_queries_refined
