config/inspiral.py: calculate start padding for filtering using FFT length and...

config/inspiral.py: calculate start padding for filtering using FFT length and template duration. load SVD manifest upon initialization

gstlal-inspiral/bin/gstlal_inspiral_workflow

@@ -31,7 +31,6 @@ parser.add_argument("-w", "--workflow", default="full", help="Sets the type of w
 # load config
 args = parser.parse_args()
 config = Config.load(args.config)
-config.load_svd_manifest(config.svd.manifest)
 
 # create dag
 dag = DAG(config)

gstlal-inspiral/bin/gstlal_ll_inspiral_workflow

@@ -31,7 +31,6 @@ parser.add_argument("-w", "--workflow", default="inspiral", help="Sets the type
 # load config
 args = parser.parse_args()
 config = Config.load(args.config)
-config.load_svd_manifest(config.svd.manifest)
 
 # create dag
 dag = DAG(config)

gstlal-inspiral/python/config/inspiral.py

@@ -17,6 +17,8 @@
 
 import json
 
+from ligo.segments import segment
+
 from gstlal.config import Config as BaseConfig
 from gstlal.config import dotdict, replace_keys
 
@@ -40,6 +42,17 @@ class Config(BaseConfig):
 		if "services" in kwargs:
 			self.services = dotdict(replace_keys(kwargs["services"]))
 
+		# load manifest
+		self.load_svd_manifest(self.svd.manifest)
+
+		# calculate start pad for filtering
+		max_duration = max(svd_bin["max_dur"] for svd_bin in self.svd.stats.bins.values())
+		self.filter.start_pad = 16 * self.psd.fft_length + max_duration
+
+		# create time bins
+		if self.span != segment(0, 0):
+			self.create_time_bins(start_pad=self.filter.start_pad)
+
 	def load_svd_manifest(self, manifest_file):
 		with open(manifest_file, "r") as f:
 			svd_stats = dotdict(replace_keys(json.load(f)))