Sprucing Bandwidth Example

from Moore import options, run_moore
from RecoConf.global_tools import stateProvider_with_simplified_geom
from RecoConf.reconstruction_objects import reconstruction
from RecoConf.calorimeter_reconstruction import make_digits
from Moore.persistence.hlt2_tistos import list_of_full_stream_lines
from Hlt2Conf.sprucing_settings.fixed_line_configs import lines_for_TISTOS_BW_March2024 as lines_for_TISTOS
# from Hlt2Conf.lines.semileptonic.spruce_semileptonic import spruce_xib0toxicplustaunu_xicplustopkpi_tautoenunu_line as line_to_run
from Hlt2Conf.lines.semileptonic import sprucing_lines # use whole module to account for overlap
from Moore.streams import DETECTORS, Stream, Streams

options.set_input_and_conds_from_testfiledb('expected_2024_min_bias_hlt2_full_stream_v2')
options.input_type = "MDF"
options.evt_max = 1000
make_digits.global_bind(calo_raw_bank=False)

options.input_raw_format = 0.5
options.input_process = 'Hlt2'
options.output_file = "my_spruce_output-dummystream.dst"
options.output_type = 'ROOT'
options.output_manifest_file = "my_spruce_output-dummystream.tck.json"

def make_streams():
    streams = [
        Stream(
            "dummystream",
            lines=[builder() for builder in sprucing_lines.values()], # whole module
            # lines=[line_to_run()] # single line
            detectors=[]) # usual case - no detector raw banks
            # detectors=DETECTORS) # if persisting detector raw banks
    ]
    return Streams(streams=streams)

public_tools = [stateProvider_with_simplified_geom()]
with reconstruction.bind(
        from_file=True,
        spruce=True), list_of_full_stream_lines.bind(lines=lines_for_TISTOS):
    config = run_moore(options, make_streams, public_tools, exclude_incompatible=True)