gstlal_inspiral_workflow: fix default locations of data products for data discovery

gstlal-inspiral/bin/gstlal_inspiral_workflow

@@ -18,6 +18,7 @@
 
 
 import argparse
+import os
 
 from gstlal.config.inspiral import Config
 from gstlal.dags.inspiral import DAG
@@ -39,7 +40,7 @@ dag.create_log_dir()
 # generate dag layers
 if args.workflow in set(("full", "filter")):
 	# input data products
-	split_bank = DataCache.find(DataType.SPLIT_BANK, root=config.data.rootdir)
+	split_bank = DataCache.find(DataType.SPLIT_BANK)
 
 	# generate filter dag layers
 	ref_psd = dag.reference_psd()
@@ -49,10 +50,11 @@ if args.workflow in set(("full", "filter")):
 	triggers, dist_stats = dag.aggregate(triggers, dist_stats)
 else:
 	# load filter data products
-	triggers = DataCache.find(DataType.TRIGGERS, root=config.data.rootdir)
-	svd_bank = DataCache.find(DataType.SVD_BANK, root=config.data.rootdir)
-	dist_stats = DataCache.find(DataType.DIST_STATS, root=config.data.rootdir)
-	median_psd = DataCache.find(DataType.MEDIAN_PSD, root=config.data.rootdir)
+	filter_dir = os.path.join(config.data.analysis_dir, "filter")
+	triggers = DataCache.find(DataType.TRIGGERS, root=filter_dir)
+	svd_bank = DataCache.find(DataType.SVD_BANK, root=filter_dir)
+	dist_stats = DataCache.find(DataType.DIST_STATS, root=filter_dir)
+	median_psd = DataCache.find(DataType.MEDIAN_PSD, root=config.data.analysis_dir)
 
 if args.workflow in set(("full", "rerank")):
 	# generate rerank dag layers