Maintenance will be performed on,, and, starting at approximately 10am CDT Tuesday 20 August 2019. The maintenance is expected to take around an hour and here will be two short periods of downtime, one at the beginning of the maintenance and another at the end.

Commit 832a8116 authored by Patrick Godwin's avatar Patrick Godwin

gstlal_ll_dq, gstlal_ll_inspiral_aggregator: update to deal with API changes from ligo-scald

parent 517934ba
Pipeline #53668 passed with stages
in 24 minutes and 44 seconds
......@@ -127,11 +127,11 @@ class PSDHandler(simplehandler.Handler):
self.last_reduce_time = int(round(buftime,-2))"reducing data and writing PSD snapshot for %d @ %d" % (buftime, int(
data = {route: {self.instrument: (list(self.timedeq), list(self.datadeq[route]))} for route in self.routes}
data = {route: {self.instrument: {'time': list(self.timedeq), 'fields': {'data': list(self.datadeq[route])}}} for route in self.routes}
### store and reduce noise / range history
for route in self.routes:
agg_sink.store_and_reduce(route, data[route], 'data', tags='ifo', aggregates=("min", "median", "max"))
agg_sink.store_columns(route, data[route], 'data', tags='ifo', aggregate="max")
### flush buffers
......@@ -124,7 +124,8 @@ if __name__ == '__main__':
start = timeit.default_timer()
for route in routes:"storing and reducing timeseries for measurement: %s" % route)
agg_sink.store_and_reduce(route, datadata[route], 'data', tags='job', aggregates=options.data_type)
for aggregate in options.data_type:
agg_sink.store_columns(route, datadata[route], 'data', tags='job', aggregate=aggregate)
elapsed = timeit.default_timer() - start"time to store/reduce timeseries: %.1f s" % elapsed)
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