gstlal_ll_inspiral_pipe: scale up number of aggregator jobs to keep up with real-time, gstlal_ll_inspiral_aggregator: add more specific group_id to not conflict with other aggregator jobs

Enabling rpmbuild in the CI pipeline. Modfied burst's spec.in to remove undefined doxygen dependency and strange environment script. Implemented --disable-massmodel in gstlal-inspiral.spec.in to limit the size of the rpm

remove gstlal_ll_inspiral_state from gstlal-ugly as gstlal_ll_inspiral_aggregator can now handle state aggregation as well

gstlal_ll_inspiral_aggregator: use new aggregation classes from datamon to aggregate data, tidy up imports

gstlal_ll_dq: use new aggregation classes from datamon to aggregate data, tidy up imports and add copyright info

lloidhandler.py: change structure of data stored and pushed to kafka within EyeCandy, change name of state routes, add logic to handle sampling rates of state info here rather than downstream

gstlal_ll_inspiral_pipe: modify number of aggregation jobs, add option to switch between influx and hdf5 agg backends

- bump min ligo-segments to 1.2.0
- also set gstlal-burst's package metadata to depend on ligo-segments instead of glue-segments

- a few things did not get converted to ligo.segments and lal.LIGOTimeGPS, this patch fixes

update Makefile.online_analysis with online web deployment, add inspiral dashboard yaml configuration

aggregator execs + ll_inspiral_pipe: allow more control with number of routes processed per job, increase number of aggregator jobs in online dag for scalability

gstlal_ll_inspiral_pipe: rename output dir for gstlal_ll_dq for consistency, create multiple gstlal_ll_inspiral_state jobs to handle aggregation better

gstlal_compute_strain:  Use lal_matrixsolver to read in multiple channels for power lines subtraction.