def __init__(
self,
# NW_SPECS,
FRAGMENT_PRODUCERS,
RU_CONFIG=[],
RUN_NUMBER=333,
OUTPUT_PATH=".",
TOKEN_COUNT=0,
SYSTEM_TYPE="TPC",
SOFTWARE_TPG_ENABLED=False,
TPSET_WRITING_ENABLED=False,
PARTITION="UNKNOWN",
OPERATIONAL_ENVIRONMENT="swtest",
TPC_REGION_NAME_PREFIX="APA",
HOST="localhost",
MAX_FILE_SIZE=4 * 1024 * 1024 * 1024):
"""Generate the json configuration for the readout and DF process"""
required_eps = {PARTITION + '.trigdec', PARTITION + '.triginh'}
# if not required_eps.issubset([nw.name for nw in NW_SPECS]):
# raise RuntimeError(f"ERROR: not all the required endpoints ({', '.join(required_eps)}) found in list of endpoints {' '.join([nw.name for nw in NW_SPECS])}")
modules = []
total_link_count = 0
for ru in range(len(RU_CONFIG)):
total_link_count += RU_CONFIG[ru]["channel_count"]
modules += [
DAQModule(
name='trigdec_receiver',
plugin='TriggerDecisionReceiver',
connections={'output': Connection('trb.trigger_decision_q')},
conf=tdrcv.ConfParams(general_queue_timeout=QUEUE_POP_WAIT_MS,
connection_name=PARTITION + ".trigdec")),
DAQModule(
name='fragment_receiver',
plugin='FragmentReceiver',
connections={'output': Connection('trb.data_fragments_q')},
conf=frcv.ConfParams(general_queue_timeout=QUEUE_POP_WAIT_MS,
connection_name=PARTITION + ".frags_0")),
DAQModule(
name='trb',
plugin='TriggerRecordBuilder',
connections={
'trigger_record_output_queue':
Connection('datawriter.trigger_record_q')
},
conf=trb.ConfParams(
general_queue_timeout=QUEUE_POP_WAIT_MS,
reply_connection_name=PARTITION + ".frags_0",
map=trb.mapgeoidconnections([
trb.geoidinst(
region=RU_CONFIG[ru]["region_id"],
element=idx + RU_CONFIG[ru]["start_channel"],
system=SYSTEM_TYPE,
connection_name=f"{PARTITION}.datareq_{ru}")
for ru in range(len(RU_CONFIG))
for idx in range(RU_CONFIG[ru]["channel_count"])
] + ([
trb.geoidinst(
region=RU_CONFIG[ru]["region_id"],
element=idx +
RU_CONFIG[ru]["start_channel"] + total_link_count,
system=SYSTEM_TYPE,
connection_name=f"{PARTITION}.datareq_{ru}")
for ru in range(len(RU_CONFIG))
for idx in range(RU_CONFIG[ru]["channel_count"])
] if SOFTWARE_TPG_ENABLED else []) + ([
trb.geoidinst(
region=RU_CONFIG[ru]["region_id"],
element=idx +
RU_CONFIG[ru]["start_channel"],
system="DataSelection",
connection_name=f"{PARTITION}.ds_tp_datareq_0")
for ru in range(len(RU_CONFIG))
for idx in range(RU_CONFIG[ru]["channel_count"])
] if SOFTWARE_TPG_ENABLED else [])))),
DAQModule(
name='datawriter',
plugin='DataWriter',
connections=
{}, # {'trigger_record_input_queue': Connection('datawriter.trigger_record_q')},
conf=dw.ConfParams(
initial_token_count=TOKEN_COUNT,
token_connection=PARTITION + ".triginh",
data_store_parameters=hdf5ds.ConfParams(
name="data_store",
version=3,
operational_environment=OPERATIONAL_ENVIRONMENT,
directory_path=OUTPUT_PATH,
max_file_size_bytes=MAX_FILE_SIZE,
disable_unique_filename_suffix=False,
filename_parameters=hdf5ds.FileNameParams(
overall_prefix=OPERATIONAL_ENVIRONMENT,
digits_for_run_number=6,
file_index_prefix="",
digits_for_file_index=4),
file_layout_parameters=hdf5ds.FileLayoutParams(
trigger_record_name_prefix="TriggerRecord",
digits_for_trigger_number=5,
path_param_list=hdf5ds.PathParamList([
hdf5ds.PathParams(
detector_group_type="TPC",
detector_group_name="TPC",
region_name_prefix=TPC_REGION_NAME_PREFIX,
element_name_prefix="Link"),
hdf5ds.PathParams(detector_group_type="PDS",
detector_group_name="PDS"),
hdf5ds.PathParams(
detector_group_type="NDLArTPC",
detector_group_name="NDLArTPC"),
hdf5ds.PathParams(
detector_group_type="Trigger",
detector_group_name="Trigger"),
hdf5ds.PathParams(detector_group_type="TPC_TP",
detector_group_name="TPC",
region_name_prefix="TP_APA",
element_name_prefix="Link")
])))))
]
if TPSET_WRITING_ENABLED:
for idx in range(len(RU_CONFIG)):
modules += [
DAQModule(name=f'tpset_subscriber_{idx}',
plugin="NetworkToQueue",
connections={
'output':
Connection(f"tpswriter.tpsets_from_netq")
},
conf=nor.Conf(name=f'{PARTITION}.tpsets_{idx}',
subscriptions=["TPSets"]))
]
modules += [
DAQModule(name='tpswriter',
plugin="TPSetWriter",
connections={
'tpset_source': Connection("tpsets_from_netq")
},
conf=tpsw.ConfParams(max_file_size_bytes=1000000000))
]
if SOFTWARE_TPG_ENABLED:
modules += [
DAQModule(
name='tp_fragment_receiver',
plugin="FragmentReceiver",
connections={'output': Connection("trb.data_fragments_q")},
conf=frcv.ConfParams(
general_queue_timeout=QUEUE_POP_WAIT_MS,
connection_name=PARTITION + ".tp_frags_0")),
DAQModule(
name='ds_tpset_fragment_receiver',
plugin="FragmentReceiver",
connections={"output": Connection("trb.data_fragments_q")},
conf=frcv.ConfParams(
general_queue_timeout=QUEUE_POP_WAIT_MS,
connection_name=PARTITION + ".frags_tpset_ds_0"))
]
mgraph = ModuleGraph(modules)
# PAR 2021-12-10 All of the dataflow app's sending and
# receiving is done via NetworkManager, so there are no
# endpoints for the moment
# mgraph.add_endpoint("fragments", "trb.data_fragment_input_queue", Direction.IN)
# mgraph.add_endpoint("trigger_decisions", "trb.trigger_decision_input_queue", Direction.IN)
# mgraph.add_endpoint("tokens", "datawriter.token_output_queue", Direction.OUT)
# for i, producer in enumerate(FRAGMENT_PRODUCERS):
# queue_name=f"data_request_{i}_output_queue"
# mgraph.add_endpoint(data_request_endpoint_name(producer), f"trb.{queue_name}", Direction.OUT)
super().__init__(modulegraph=mgraph, host=HOST)
self.export("dataflow_app.dot")
def generate(NETWORK_ENDPOINTS,
NUMBER_OF_DATA_PRODUCERS=2,
EMULATOR_MODE=False,
DATA_RATE_SLOWDOWN_FACTOR=1,
RUN_NUMBER=333,
DATA_FILE="./frames.bin",
OUTPUT_PATH=".",
DISABLE_OUTPUT=False,
FLX_INPUT=True,
TOKEN_COUNT=0,
CLOCK_SPEED_HZ=50000000):
"""Generate the json configuration for the readout and DF process"""
cmd_data = {}
required_eps = {'trigdec', 'triginh', 'timesync'}
if not required_eps.issubset(NETWORK_ENDPOINTS):
raise RuntimeError(
f"ERROR: not all the required endpoints ({', '.join(required_eps)}) found in list of endpoints {' '.join(NETWORK_ENDPOINTS.keys())}"
)
LATENCY_BUFFER_SIZE = 3 * CLOCK_SPEED_HZ / (25 * 12 *
DATA_RATE_SLOWDOWN_FACTOR)
RATE_KHZ = CLOCK_SPEED_HZ / (25 * 12 * DATA_RATE_SLOWDOWN_FACTOR * 1000)
# Define modules and queues
queue_bare_specs = [
app.QueueSpec(inst="time_sync_q", kind='FollyMPMCQueue', capacity=100),
app.QueueSpec(inst="token_q", kind='FollySPSCQueue', capacity=100),
app.QueueSpec(
inst="trigger_decision_q", kind='FollySPSCQueue', capacity=100),
app.QueueSpec(inst="trigger_decision_from_netq",
kind='FollySPSCQueue',
capacity=100),
app.QueueSpec(inst="trigger_decision_copy_for_bookkeeping",
kind='FollySPSCQueue',
capacity=100),
app.QueueSpec(
inst="trigger_record_q", kind='FollySPSCQueue', capacity=100),
app.QueueSpec(
inst="data_fragments_q", kind='FollyMPMCQueue', capacity=1000),
] + [
app.QueueSpec(
inst=f"data_requests_{idx}", kind='FollySPSCQueue', capacity=100)
for idx in range(NUMBER_OF_DATA_PRODUCERS)
] + [
app.QueueSpec(
inst=f"wib_link_{idx}", kind='FollySPSCQueue', capacity=100000)
for idx in range(NUMBER_OF_DATA_PRODUCERS)
]
# Only needed to reproduce the same order as when using jsonnet
queue_specs = app.QueueSpecs(sorted(queue_bare_specs,
key=lambda x: x.inst))
mod_specs = [
mspec("ntoq_trigdec", "NetworkToQueue", [
app.QueueInfo(
name="output", inst="trigger_decision_from_netq", dir="output")
]),
mspec("qton_token", "QueueToNetwork",
[app.QueueInfo(name="input", inst="token_q", dir="input")]),
mspec("qton_timesync", "QueueToNetwork",
[app.QueueInfo(name="input", inst="time_sync_q", dir="input")]),
mspec("rqg", "RequestGenerator", [
app.QueueInfo(name="trigger_decision_input_queue",
inst="trigger_decision_from_netq",
dir="input"),
app.QueueInfo(name="trigger_decision_for_event_building",
inst="trigger_decision_copy_for_bookkeeping",
dir="output"),
] + [
app.QueueInfo(name=f"data_request_{idx}_output_queue",
inst=f"data_requests_{idx}",
dir="output")
for idx in range(NUMBER_OF_DATA_PRODUCERS)
]),
mspec("ffr", "FragmentReceiver", [
app.QueueInfo(name="trigger_decision_input_queue",
inst="trigger_decision_copy_for_bookkeeping",
dir="input"),
app.QueueInfo(name="trigger_record_output_queue",
inst="trigger_record_q",
dir="output"),
app.QueueInfo(name="data_fragment_input_queue",
inst="data_fragments_q",
dir="input"),
]),
mspec("datawriter", "DataWriter", [
app.QueueInfo(name="trigger_record_input_queue",
inst="trigger_record_q",
dir="input"),
app.QueueInfo(
name="token_output_queue", inst="token_q", dir="output"),
]),
] + [
mspec(f"datahandler_{idx}", "DataLinkHandler", [
app.QueueInfo(
name="raw_input", inst=f"wib_link_{idx}", dir="input"),
app.QueueInfo(name="timesync", inst="time_sync_q", dir="output"),
app.QueueInfo(
name="requests", inst=f"data_requests_{idx}", dir="input"),
app.QueueInfo(
name="fragments", inst="data_fragments_q", dir="output"),
]) for idx in range(NUMBER_OF_DATA_PRODUCERS)
]
if FLX_INPUT:
mod_specs.append(
mspec("flxcard_0", "FelixCardReader", [
app.QueueInfo(
name=f"output_{idx}", inst=f"wib_link_{idx}", dir="output")
for idx in range(0, min(5, NUMBER_OF_DATA_PRODUCERS))
]))
if NUMBER_OF_DATA_PRODUCERS > 5:
mod_specs.append(
mspec("flxcard_1", "FelixCardReader", [
app.QueueInfo(name=f"output_{idx}",
inst=f"wib_link_{idx}",
dir="output")
for idx in range(5, NUMBER_OF_DATA_PRODUCERS)
]))
else:
mod_specs.append(
mspec("fake_source", "FakeCardReader", [
app.QueueInfo(
name=f"output_{idx}", inst=f"wib_link_{idx}", dir="output")
for idx in range(NUMBER_OF_DATA_PRODUCERS)
]))
cmd_data['init'] = app.Init(queues=queue_specs, modules=mod_specs)
cmd_data['conf'] = acmd([
("ntoq_trigdec",
ntoq.Conf(msg_type="dunedaq::dfmessages::TriggerDecision",
msg_module_name="TriggerDecisionNQ",
receiver_config=nor.Conf(
ipm_plugin_type="ZmqReceiver",
address=NETWORK_ENDPOINTS["trigdec"]))),
("qton_token",
qton.Conf(msg_type="dunedaq::dfmessages::TriggerDecisionToken",
msg_module_name="TriggerDecisionTokenNQ",
sender_config=nos.Conf(ipm_plugin_type="ZmqSender",
address=NETWORK_ENDPOINTS["triginh"],
stype="msgpack"))),
("qton_timesync",
qton.Conf(msg_type="dunedaq::dfmessages::TimeSync",
msg_module_name="TimeSyncNQ",
sender_config=nos.Conf(
ipm_plugin_type="ZmqSender",
address=NETWORK_ENDPOINTS["timesync"],
stype="msgpack"))),
("rqg",
rqg.ConfParams(map=rqg.mapgeoidqueue([
rqg.geoidinst(
apa=0, link=idx, queueinstance=f"data_requests_{idx}")
for idx in range(NUMBER_OF_DATA_PRODUCERS)
]))),
("ffr", ffr.ConfParams(general_queue_timeout=QUEUE_POP_WAIT_MS)),
(
"datawriter",
dw.ConfParams(
initial_token_count=TOKEN_COUNT,
data_store_parameters=hdf5ds.ConfParams(
name="data_store",
# type = "HDF5DataStore", # default
directory_path=OUTPUT_PATH, # default
# mode = "all-per-file", # default
max_file_size_bytes=1073741824,
disable_unique_filename_suffix=False,
filename_parameters=hdf5ds.HDF5DataStoreFileNameParams(
overall_prefix="swtest",
digits_for_run_number=6,
file_index_prefix="",
digits_for_file_index=4,
),
file_layout_parameters=hdf5ds.
HDF5DataStoreFileLayoutParams(
trigger_record_name_prefix="TriggerRecord",
digits_for_trigger_number=5,
digits_for_apa_number=3,
digits_for_link_number=2,
)))),
(
"fake_source",
fakecr.Conf(
link_ids=list(range(NUMBER_OF_DATA_PRODUCERS)),
# input_limit=10485100, # default
rate_khz=RATE_KHZ,
raw_type="wib",
data_filename=DATA_FILE,
queue_timeout_ms=QUEUE_POP_WAIT_MS)),
("flxcard_0",
flxcr.Conf(card_id=0,
logical_unit=0,
dma_id=0,
chunk_trailer_size=32,
dma_block_size_kb=4,
dma_memory_size_gb=4,
numa_id=0,
num_links=min(5, NUMBER_OF_DATA_PRODUCERS))),
("flxcard_1",
flxcr.Conf(card_id=0,
logical_unit=1,
dma_id=0,
chunk_trailer_size=32,
dma_block_size_kb=4,
dma_memory_size_gb=4,
numa_id=0,
num_links=max(0, NUMBER_OF_DATA_PRODUCERS - 5))),
] + [
(
f"datahandler_{idx}",
dlh.Conf(
raw_type="wib",
emulator_mode=EMULATOR_MODE,
# fake_trigger_flag=0, # default
source_queue_timeout_ms=QUEUE_POP_WAIT_MS,
latency_buffer_size=LATENCY_BUFFER_SIZE,
pop_limit_pct=0.8,
pop_size_pct=0.1,
apa_number=0,
link_number=idx)) for idx in range(NUMBER_OF_DATA_PRODUCERS)
])
startpars = rccmd.StartParams(run=RUN_NUMBER,
disable_data_storage=DISABLE_OUTPUT)
cmd_data['start'] = acmd([
("qton_token", startpars),
("datawriter", startpars),
("ffr", startpars),
("qton_timesync", startpars),
("datahandler_.*", startpars),
("fake_source", startpars),
("flxcard.*", startpars),
("rqg", startpars),
("ntoq_trigdec", startpars),
])
cmd_data['stop'] = acmd([
("ntoq_trigdec", None),
("rqg", None),
("flxcard.*", None),
("fake_source", None),
("datahandler_.*", None),
("qton_timesync", None),
("ffr", None),
("datawriter", None),
("qton_token", None),
])
cmd_data['pause'] = acmd([("", None)])
cmd_data['resume'] = acmd([("", None)])
cmd_data['scrap'] = acmd([("", None)])
return cmd_data
def generate_df(
network_endpoints,
NUMBER_OF_DATA_PRODUCERS=2,
EMULATOR_MODE=False,
DATA_RATE_SLOWDOWN_FACTOR = 1,
RUN_NUMBER = 333,
TRIGGER_RATE_HZ = 1.0,
DATA_FILE="./frames.bin",
OUTPUT_PATH=".",
DISABLE_OUTPUT=False,
FLX_INPUT=True,
TOKEN_COUNT=0
):
"""Generate the json configuration for the readout and DF process"""
trg_interval_ticks = math.floor((1/TRIGGER_RATE_HZ) * CLOCK_SPEED_HZ/DATA_RATE_SLOWDOWN_FACTOR)
# Define modules and queues
queue_bare_specs = [
app.QueueSpec(inst="time_sync_q", kind='FollyMPMCQueue', capacity=100),
app.QueueSpec(inst="token_q", kind='FollySPSCQueue', capacity=100),
app.QueueSpec(inst="trigger_decision_q", kind='FollySPSCQueue', capacity=100),
app.QueueSpec(inst="trigger_decision_from_netq", kind='FollySPSCQueue', capacity=100),
app.QueueSpec(inst="trigger_decision_copy_for_bookkeeping", kind='FollySPSCQueue', capacity=100),
app.QueueSpec(inst="trigger_record_q", kind='FollySPSCQueue', capacity=100),
app.QueueSpec(inst="data_fragments_q", kind='FollyMPMCQueue', capacity=1000),
] + [
app.QueueSpec(inst=f"data_requests_{idx}", kind='FollySPSCQueue', capacity=100)
for idx in range(NUMBER_OF_DATA_PRODUCERS)
] + [
app.QueueSpec(inst=f"wib_link_{idx}", kind='FollySPSCQueue', capacity=100000)
for idx in range(NUMBER_OF_DATA_PRODUCERS)
]
# Only needed to reproduce the same order as when using jsonnet
queue_specs = app.QueueSpecs(sorted(queue_bare_specs, key=lambda x: x.inst))
mod_specs = [
mspec("ntoq_trigdec", "NetworkToQueue", [
app.QueueInfo(name="output", inst="trigger_decision_from_netq", dir="output")
]),
mspec("qton_token", "QueueToNetwork", [
app.QueueInfo(name="input", inst="token_q", dir="input")
]),
mspec("qton_timesync", "QueueToNetwork", [
app.QueueInfo(name="input", inst="time_sync_q", dir="input")
]),
mspec("rqg", "RequestGenerator", [
app.QueueInfo(name="trigger_decision_input_queue", inst="trigger_decision_from_netq", dir="input"),
app.QueueInfo(name="trigger_decision_for_event_building", inst="trigger_decision_copy_for_bookkeeping", dir="output"),
] + [
app.QueueInfo(name=f"data_request_{idx}_output_queue", inst=f"data_requests_{idx}", dir="output")
for idx in range(NUMBER_OF_DATA_PRODUCERS)
]),
mspec("ffr", "FragmentReceiver", [
app.QueueInfo(name="trigger_decision_input_queue", inst="trigger_decision_copy_for_bookkeeping", dir="input"),
app.QueueInfo(name="trigger_record_output_queue", inst="trigger_record_q", dir="output"),
app.QueueInfo(name="data_fragment_input_queue", inst="data_fragments_q", dir="input"),
]),
mspec("datawriter", "DataWriter", [
app.QueueInfo(name="trigger_record_input_queue", inst="trigger_record_q", dir="input"),
app.QueueInfo(name="token_output_queue", inst="token_q", dir="output"),
]),
] + [
mspec(f"datahandler_{idx}", "DataLinkHandler", [
app.QueueInfo(name="raw_input", inst=f"wib_link_{idx}", dir="input"),
app.QueueInfo(name="timesync", inst="time_sync_q", dir="output"),
app.QueueInfo(name="requests", inst=f"data_requests_{idx}", dir="input"),
app.QueueInfo(name="fragments", inst="data_fragments_q", dir="output"),
]) for idx in range(NUMBER_OF_DATA_PRODUCERS)
]
if FLX_INPUT:
mod_specs.append(mspec("flxcard_0", "FelixCardReader", [
app.QueueInfo(name=f"output_{idx}", inst=f"wib_link_{idx}", dir="output")
for idx in range(0,min(5, NUMBER_OF_DATA_PRODUCERS))
]))
if NUMBER_OF_DATA_PRODUCERS>5 :
mod_specs.append(mspec("flxcard_1", "FelixCardReader", [
app.QueueInfo(name=f"output_{idx}", inst=f"wib_link_{idx}", dir="output")
for idx in range(5, NUMBER_OF_DATA_PRODUCERS)
]))
else:
mod_specs.append(mspec("fake_source", "FakeCardReader", [
app.QueueInfo(name=f"output_{idx}", inst=f"wib_link_{idx}", dir="output")
for idx in range(NUMBER_OF_DATA_PRODUCERS)
]))
init_specs = app.Init(queues=queue_specs, modules=mod_specs)
initcmd = rccmd.RCCommand(
id=basecmd.CmdId("init"),
entry_state="NONE",
exit_state="INITIAL",
data=init_specs
)
confcmd = mrccmd("conf", "INITIAL", "CONFIGURED",[
("ntoq_trigdec", ntoq.Conf(msg_type="dunedaq::dfmessages::TriggerDecision",
msg_module_name="TriggerDecisionNQ",
receiver_config=nor.Conf(ipm_plugin_type="ZmqReceiver",
address=network_endpoints["trigdec"])
)
),
("qton_token", qton.Conf(msg_type="dunedaq::dfmessages::TriggerDecisionToken",
msg_module_name="TriggerDecisionTokenNQ",
sender_config=nos.Conf(ipm_plugin_type="ZmqSender",
address=network_endpoints["triginh"],
stype="msgpack")
)
),
("qton_timesync", qton.Conf(msg_type="dunedaq::dfmessages::TimeSync",
msg_module_name="TimeSyncNQ",
sender_config=nos.Conf(ipm_plugin_type="ZmqSender",
address=network_endpoints["timesync"],
stype="msgpack")
)
),
("rqg", rqg.ConfParams(
map=rqg.mapgeoidqueue([
rqg.geoidinst(apa=0, link=idx, queueinstance=f"data_requests_{idx}") for idx in range(NUMBER_OF_DATA_PRODUCERS)
])
)),
("ffr", ffr.ConfParams(
general_queue_timeout=QUEUE_POP_WAIT_MS
)),
("datawriter", dw.ConfParams(
initial_token_count=TOKEN_COUNT,
data_store_parameters=hdf5ds.ConfParams(
name="data_store",
# type = "HDF5DataStore", # default
directory_path = OUTPUT_PATH, # default
# mode = "all-per-file", # default
max_file_size_bytes = 1073741824,
disable_unique_filename_suffix = False,
filename_parameters = hdf5ds.HDF5DataStoreFileNameParams(
overall_prefix = "swtest",
digits_for_run_number = 6,
file_index_prefix = "",
digits_for_file_index = 4,
),
file_layout_parameters = hdf5ds.HDF5DataStoreFileLayoutParams(
trigger_record_name_prefix= "TriggerRecord",
digits_for_trigger_number = 5,
digits_for_apa_number = 3,
digits_for_link_number = 2,
)
)
)),
("fake_source",fakecr.Conf(
link_ids=list(range(NUMBER_OF_DATA_PRODUCERS)),
# input_limit=10485100, # default
rate_khz = CLOCK_SPEED_HZ/(25*12*DATA_RATE_SLOWDOWN_FACTOR*1000),
raw_type = "wib",
data_filename = DATA_FILE,
queue_timeout_ms = QUEUE_POP_WAIT_MS
)),
("flxcard_0",flxcr.Conf(
card_id=0,
logical_unit=0,
dma_id=0,
chunk_trailer_size= 32,
dma_block_size_kb= 4,
dma_memory_size_gb= 4,
numa_id=0,
num_links=min(5,NUMBER_OF_DATA_PRODUCERS)
)),
("flxcard_1",flxcr.Conf(
card_id=0,
logical_unit=1,
dma_id=0,
chunk_trailer_size= 32,
dma_block_size_kb= 4,
dma_memory_size_gb= 4,
numa_id=0,
num_links=max(0, NUMBER_OF_DATA_PRODUCERS-5)
)),
] + [
(f"datahandler_{idx}", dlh.Conf(
raw_type = "wib",
emulator_mode = EMULATOR_MODE,
# fake_trigger_flag=0, # default
source_queue_timeout_ms= QUEUE_POP_WAIT_MS,
latency_buffer_size = 3*CLOCK_SPEED_HZ/(25*12*DATA_RATE_SLOWDOWN_FACTOR),
pop_limit_pct = 0.8,
pop_size_pct = 0.1,
apa_number = 0,
link_number = idx
)) for idx in range(NUMBER_OF_DATA_PRODUCERS)
])
startpars = rccmd.StartParams(run=RUN_NUMBER, trigger_interval_ticks=trg_interval_ticks, disable_data_storage=DISABLE_OUTPUT)
startcmd = mrccmd("start", "CONFIGURED", "RUNNING", [
("qton_token", startpars),
("datawriter", startpars),
("ffr", startpars),
("qton_timesync", startpars),
("datahandler_.*", startpars),
("fake_source", startpars),
("flxcard.*", startpars),
("rqg", startpars),
("ntoq_trigdec", startpars),
])
stopcmd = mrccmd("stop", "RUNNING", "CONFIGURED", [
("ntoq_trigdec", None),
("rqg", None),
("flxcard.*", None),
("fake_source", None),
("datahandler_.*", None),
("qton_timesync", None),
("ffr", None),
("datawriter", None),
("qton_token", None),
])
pausecmd = mrccmd("pause", "RUNNING", "RUNNING", [
("", None)
])
resumecmd = mrccmd("resume", "RUNNING", "RUNNING", [
("tde", tde.ResumeParams(
trigger_interval_ticks=trg_interval_ticks
))
])
scrapcmd = mrccmd("scrap", "CONFIGURED", "INITIAL", [
("", None)
])
# Create a list of commands
cmd_seq = [initcmd, confcmd, startcmd, stopcmd, pausecmd, resumecmd, scrapcmd]
# Print them as json (to be improved/moved out)
jstr = json.dumps([c.pod() for c in cmd_seq], indent=4, sort_keys=True)
return jstr
def generate(NW_SPECS,
RU_CONFIG=[],
HOSTIDX=0,
RUN_NUMBER=333,
OUTPUT_PATH=".",
TOKEN_COUNT=0,
SYSTEM_TYPE="TPC",
SOFTWARE_TPG_ENABLED=False,
TPSET_WRITING_ENABLED=False,
PARTITION="UNKNOWN",
OPERATIONAL_ENVIRONMENT="swtest",
TPC_REGION_NAME_PREFIX="APA",
MAX_FILE_SIZE=4 * 1024 * 1024 * 1024):
"""Generate the json configuration for the readout and DF process"""
cmd_data = {}
required_eps = {PARTITION + f'.trigdec_{HOSTIDX}', PARTITION + '.triginh'}
if not required_eps.issubset([nw.name for nw in NW_SPECS]):
raise RuntimeError(
f"ERROR: not all the required endpoints ({', '.join(required_eps)}) found in list of endpoints {' '.join([nw.name for nw in NW_SPECS])}"
)
# Define modules and queues
queue_bare_specs = [
app.QueueSpec(
inst="trigger_decision_q", kind='FollySPSCQueue', capacity=100),
app.QueueSpec(
inst="trigger_record_q", kind='FollySPSCQueue', capacity=100),
app.QueueSpec(
inst="data_fragments_q", kind='FollyMPMCQueue', capacity=1000),
] + ([
app.QueueSpec(
inst="tpsets_from_netq", kind='FollyMPMCQueue', capacity=1000),
] if TPSET_WRITING_ENABLED else [])
# Only needed to reproduce the same order as when using jsonnet
queue_specs = app.QueueSpecs(sorted(queue_bare_specs,
key=lambda x: x.inst))
mod_specs = [
mspec("trigdec_receiver", "TriggerDecisionReceiver", [
app.QueueInfo(
name="output", inst="trigger_decision_q", dir="output")
]),
mspec("fragment_receiver", "FragmentReceiver", [
app.QueueInfo(name="output", inst="data_fragments_q", dir="output")
]),
mspec("trb", "TriggerRecordBuilder", [
app.QueueInfo(name="trigger_decision_input_queue",
inst="trigger_decision_q",
dir="input"),
app.QueueInfo(name="trigger_record_output_queue",
inst="trigger_record_q",
dir="output"),
app.QueueInfo(name="data_fragment_input_queue",
inst="data_fragments_q",
dir="input")
]),
mspec("datawriter", "DataWriter", [
app.QueueInfo(name="trigger_record_input_queue",
inst="trigger_record_q",
dir="input")
]),
] + ([
mspec(f"tpset_subscriber_{idx}", "NetworkToQueue", [
app.QueueInfo(
name="output", inst=f"tpsets_from_netq", dir="output")
]) for idx in range(len(RU_CONFIG))
] if TPSET_WRITING_ENABLED else []) + ([
mspec("tpswriter", "TPSetWriter", [
app.QueueInfo(
name="tpset_source", inst="tpsets_from_netq", dir="input")
])
] if TPSET_WRITING_ENABLED else [])
cmd_data['init'] = app.Init(queues=queue_specs,
modules=mod_specs,
nwconnections=NW_SPECS)
total_link_count = 0
for ru in range(len(RU_CONFIG)):
total_link_count += RU_CONFIG[ru]["channel_count"]
cmd_data['conf'] = acmd([
("trigdec_receiver",
tdrcv.ConfParams(general_queue_timeout=QUEUE_POP_WAIT_MS,
connection_name=f"{PARTITION}.trigdec_{HOSTIDX}")),
("trb",
trb.ConfParams(
general_queue_timeout=QUEUE_POP_WAIT_MS,
reply_connection_name=f"{PARTITION}.frags_{HOSTIDX}",
map=trb.mapgeoidconnections([
trb.geoidinst(region=RU_CONFIG[ru]["region_id"],
element=idx + RU_CONFIG[ru]["start_channel"],
system=SYSTEM_TYPE,
connection_name=f"{PARTITION}.datareq_{ru}")
for ru in range(len(RU_CONFIG))
for idx in range(RU_CONFIG[ru]["channel_count"])
] + ([
trb.geoidinst(region=RU_CONFIG[ru]["region_id"],
element=idx + RU_CONFIG[ru]["start_channel"] +
total_link_count,
system=SYSTEM_TYPE,
connection_name=f"{PARTITION}.datareq_{ru}")
for ru in range(len(RU_CONFIG))
for idx in range(RU_CONFIG[ru]["channel_count"])
] if SOFTWARE_TPG_ENABLED else []) + ([
trb.geoidinst(region=RU_CONFIG[ru]["region_id"],
element=idx + RU_CONFIG[ru]["start_channel"],
system="DataSelection",
connection_name=f"{PARTITION}.ds_tp_datareq_0")
for ru in range(len(RU_CONFIG))
for idx in range(RU_CONFIG[ru]["channel_count"])
] if SOFTWARE_TPG_ENABLED else [])))),
("datawriter",
dw.ConfParams(
decision_connection=f"{PARTITION}.trigdec_{HOSTIDX}",
token_connection=PARTITION + ".triginh",
data_store_parameters=hdf5ds.ConfParams(
name="data_store",
version=3,
operational_environment=OPERATIONAL_ENVIRONMENT,
directory_path=OUTPUT_PATH,
max_file_size_bytes=MAX_FILE_SIZE,
disable_unique_filename_suffix=False,
filename_parameters=hdf5ds.FileNameParams(
overall_prefix=OPERATIONAL_ENVIRONMENT,
digits_for_run_number=6,
file_index_prefix="",
digits_for_file_index=4,
),
file_layout_parameters=hdf5ds.FileLayoutParams(
trigger_record_name_prefix="TriggerRecord",
digits_for_trigger_number=5,
path_param_list=hdf5ds.PathParamList([
hdf5ds.PathParams(
detector_group_type="TPC",
detector_group_name="TPC",
region_name_prefix=TPC_REGION_NAME_PREFIX,
element_name_prefix="Link"),
hdf5ds.PathParams(detector_group_type="PDS",
detector_group_name="PDS"),
hdf5ds.PathParams(detector_group_type="NDLArTPC",
detector_group_name="NDLArTPC"),
hdf5ds.PathParams(detector_group_type="Trigger",
detector_group_name="Trigger"),
hdf5ds.PathParams(detector_group_type="TPC_TP",
detector_group_name="TPC",
region_name_prefix="TP_APA",
element_name_prefix="Link")
]))))),
] + [
("fragment_receiver",
frcv.ConfParams(general_queue_timeout=QUEUE_POP_WAIT_MS,
connection_name=f"{PARTITION}.frags_{HOSTIDX}")),
] + [(f"tpset_subscriber_{idx}",
ntoq.Conf(msg_type="dunedaq::trigger::TPSet",
msg_module_name="TPSetNQ",
receiver_config=nor.Conf(name=f'{PARTITION}.tpsets_{idx}',
subscriptions=["TPSets"])))
for idx in range(len(RU_CONFIG))] + (
[("tpswriter", tpsw.ConfParams(max_file_size_bytes=1000000000, )
)] if TPSET_WRITING_ENABLED else []))
startpars = rccmd.StartParams(run=RUN_NUMBER)
cmd_data['start'] = acmd(
[] + ([("tpswriter",
startpars), ("tpset_subscriber_.*",
startpars)] if TPSET_WRITING_ENABLED else []) +
[("datawriter", startpars), ("fragment_receiver", startpars),
("trb", startpars), ("trigdec_receiver", startpars)])
cmd_data['stop'] = acmd([
("trigdec_receiver", None),
("trb", None),
("fragment_receiver", None),
("datawriter", None),
] + ([("tpset_subscriber_.*",
None), ("tpswriter", None)] if TPSET_WRITING_ENABLED else []))
cmd_data['pause'] = acmd([("", None)])
cmd_data['resume'] = acmd([("", None)])
cmd_data['scrap'] = acmd([("fragment_receiver", None),
("trigdec_receiver", None),
("qton_token", None)])
cmd_data['record'] = acmd([("", None)])
return cmd_data
def generate(NUMBER_OF_DATA_PRODUCERS=2,
EMULATOR_MODE=False,
DATA_RATE_SLOWDOWN_FACTOR=10,
RUN_NUMBER=333,
TRIGGER_RATE_HZ=1.0,
DATA_FILE="./frames.bin",
OUTPUT_PATH=".",
DISABLE_OUTPUT=False,
TOKEN_COUNT=10):
trigger_interval_ticks = math.floor(
(1 / TRIGGER_RATE_HZ) * CLOCK_SPEED_HZ / DATA_RATE_SLOWDOWN_FACTOR)
# Define modules and queues
queue_bare_specs = [
app.QueueSpec(inst="time_sync_q", kind='FollyMPMCQueue', capacity=100),
app.QueueSpec(inst="token_q", kind='FollySPSCQueue', capacity=20),
app.QueueSpec(
inst="trigger_decision_q", kind='FollySPSCQueue', capacity=20),
app.QueueSpec(inst="trigger_decision_copy_for_bookkeeping",
kind='FollySPSCQueue',
capacity=20),
app.QueueSpec(
inst="trigger_record_q", kind='FollySPSCQueue', capacity=20),
app.QueueSpec(
inst="data_fragments_q", kind='FollyMPMCQueue', capacity=100),
] + [
app.QueueSpec(
inst=f"data_requests_{idx}", kind='FollySPSCQueue', capacity=20)
for idx in range(NUMBER_OF_DATA_PRODUCERS)
] + [
app.QueueSpec(inst=f"wib_fake_link_{idx}",
kind='FollySPSCQueue',
capacity=100000)
for idx in range(NUMBER_OF_DATA_PRODUCERS)
]
# Only needed to reproduce the same order as when using jsonnet
queue_specs = app.QueueSpecs(sorted(queue_bare_specs,
key=lambda x: x.inst))
mod_specs = [
mspec("tde", "TriggerDecisionEmulator", [
app.QueueInfo(
name="time_sync_source", inst="time_sync_q", dir="input"),
app.QueueInfo(name="token_source", inst="token_q", dir="input"),
app.QueueInfo(name="trigger_decision_sink",
inst="trigger_decision_q",
dir="output"),
]),
mspec("rqg", "RequestGenerator", [
app.QueueInfo(name="trigger_decision_input_queue",
inst="trigger_decision_q",
dir="input"),
app.QueueInfo(name="trigger_decision_for_event_building",
inst="trigger_decision_copy_for_bookkeeping",
dir="output"),
] + [
app.QueueInfo(name=f"data_request_{idx}_output_queue",
inst=f"data_requests_{idx}",
dir="output")
for idx in range(NUMBER_OF_DATA_PRODUCERS)
]),
mspec("ffr", "FragmentReceiver", [
app.QueueInfo(name="trigger_decision_input_queue",
inst="trigger_decision_copy_for_bookkeeping",
dir="input"),
app.QueueInfo(name="trigger_record_output_queue",
inst="trigger_record_q",
dir="output"),
app.QueueInfo(name="data_fragment_input_queue",
inst="data_fragments_q",
dir="input"),
]),
mspec("datawriter", "DataWriter", [
app.QueueInfo(name="trigger_record_input_queue",
inst="trigger_record_q",
dir="input"),
app.QueueInfo(
name="token_output_queue", inst="token_q", dir="output"),
]),
mspec("fake_source", "FakeCardReader", [
app.QueueInfo(name=f"output_{idx}",
inst=f"wib_fake_link_{idx}",
dir="output")
for idx in range(NUMBER_OF_DATA_PRODUCERS)
]),
] + [
mspec(f"datahandler_{idx}", "DataLinkHandler", [
app.QueueInfo(
name="raw_input", inst=f"wib_fake_link_{idx}", dir="input"),
app.QueueInfo(name="timesync", inst="time_sync_q", dir="output"),
app.QueueInfo(
name="requests", inst=f"data_requests_{idx}", dir="input"),
app.QueueInfo(
name="fragments", inst="data_fragments_q", dir="output"),
]) for idx in range(NUMBER_OF_DATA_PRODUCERS)
]
init_specs = app.Init(queues=queue_specs, modules=mod_specs)
jstr = json.dumps(init_specs.pod(), indent=4, sort_keys=True)
print(jstr)
initcmd = rccmd.RCCommand(id=basecmd.CmdId("init"),
entry_state="NONE",
exit_state="INITIAL",
data=init_specs)
if TOKEN_COUNT > 0:
df_token_count = 0
trigemu_token_count = TOKEN_COUNT
else:
df_token_count = -1 * TOKEN_COUNT
trigemu_token_count = 0
confcmd = mrccmd(
"conf",
"INITIAL",
"CONFIGURED",
[
(
"tde",
tde.ConfParams(
links=[idx for idx in range(NUMBER_OF_DATA_PRODUCERS)],
min_links_in_request=NUMBER_OF_DATA_PRODUCERS,
max_links_in_request=NUMBER_OF_DATA_PRODUCERS,
min_readout_window_ticks=1200,
max_readout_window_ticks=1200,
trigger_window_offset=1000,
# The delay is set to put the trigger well within the latency buff
trigger_delay_ticks=math.floor(
2 * CLOCK_SPEED_HZ / DATA_RATE_SLOWDOWN_FACTOR),
# We divide the trigger interval by
# DATA_RATE_SLOWDOWN_FACTOR so the triggers are still
# emitted per (wall-clock) second, rather than being
# spaced out further
trigger_interval_ticks=trigger_interval_ticks,
clock_frequency_hz=CLOCK_SPEED_HZ /
DATA_RATE_SLOWDOWN_FACTOR,
initial_token_count=trigemu_token_count)),
("rqg",
rqg.ConfParams(map=rqg.mapgeoidqueue([
rqg.geoidinst(
apa=0, link=idx, queueinstance=f"data_requests_{idx}")
for idx in range(NUMBER_OF_DATA_PRODUCERS)
]))),
("ffr", ffr.ConfParams(general_queue_timeout=QUEUE_POP_WAIT_MS)),
(
"datawriter",
dw.ConfParams(
initial_token_count=df_token_count,
data_store_parameters=hdf5ds.ConfParams(
name="data_store",
# type = "HDF5DataStore", # default
directory_path=OUTPUT_PATH, # default
# mode = "all-per-file", # default
max_file_size_bytes=1073741824,
filename_parameters=hdf5ds.HDF5DataStoreFileNameParams(
overall_prefix="swtest",
digits_for_run_number=6,
file_index_prefix="",
digits_for_file_index=4,
),
file_layout_parameters=hdf5ds.
HDF5DataStoreFileLayoutParams(
trigger_record_name_prefix="TriggerRecord",
digits_for_trigger_number=5,
digits_for_apa_number=3,
digits_for_link_number=2,
)))),
(
"fake_source",
fcr.Conf(
link_ids=list(range(NUMBER_OF_DATA_PRODUCERS)),
# input_limit=10485100, # default
rate_khz=CLOCK_SPEED_HZ /
(25 * 12 * DATA_RATE_SLOWDOWN_FACTOR * 1000),
raw_type="wib",
data_filename=DATA_FILE,
queue_timeout_ms=QUEUE_POP_WAIT_MS)),
] + [
(
f"datahandler_{idx}",
dlh.Conf(
raw_type="wib",
emulator_mode=EMULATOR_MODE,
# fake_trigger_flag=0, # default
source_queue_timeout_ms=QUEUE_POP_WAIT_MS,
latency_buffer_size=3 * CLOCK_SPEED_HZ /
(25 * 12 * DATA_RATE_SLOWDOWN_FACTOR),
pop_limit_pct=0.8,
pop_size_pct=0.1,
apa_number=0,
link_number=idx))
for idx in range(NUMBER_OF_DATA_PRODUCERS)
])
jstr = json.dumps(confcmd.pod(), indent=4, sort_keys=True)
print(jstr)
startpars = rccmd.StartParams(
run=RUN_NUMBER,
trigger_interval_ticks=trigger_interval_ticks,
disable_data_storage=DISABLE_OUTPUT)
startcmd = mrccmd("start", "CONFIGURED", "RUNNING", [
("datawriter", startpars),
("ffr", startpars),
("datahandler_.*", startpars),
("fake_source", startpars),
("rqg", startpars),
("tde", startpars),
])
jstr = json.dumps(startcmd.pod(), indent=4, sort_keys=True)
print("=" * 80 + "\nStart\n\n", jstr)
stopcmd = mrccmd("stop", "RUNNING", "CONFIGURED", [
("tde", None),
("rqg", None),
("fake_source", None),
("datahandler_.*", None),
("ffr", None),
("datawriter", None),
])
jstr = json.dumps(stopcmd.pod(), indent=4, sort_keys=True)
print("=" * 80 + "\nStop\n\n", jstr)
pausecmd = mrccmd("pause", "RUNNING", "RUNNING", [("", None)])
jstr = json.dumps(pausecmd.pod(), indent=4, sort_keys=True)
print("=" * 80 + "\nPause\n\n", jstr)
resumecmd = mrccmd(
"resume", "RUNNING", "RUNNING",
[("tde",
tde.ResumeParams(trigger_interval_ticks=trigger_interval_ticks))])
jstr = json.dumps(resumecmd.pod(), indent=4, sort_keys=True)
print("=" * 80 + "\nResume\n\n", jstr)
scrapcmd = mrccmd("scrap", "CONFIGURED", "INITIAL", [("", None)])
jstr = json.dumps(scrapcmd.pod(), indent=4, sort_keys=True)
print("=" * 80 + "\nScrap\n\n", jstr)
# Create a list of commands
cmd_seq = [
initcmd, confcmd, startcmd, stopcmd, pausecmd, resumecmd, scrapcmd
]
# Print them as json (to be improved/moved out)
jstr = json.dumps([c.pod() for c in cmd_seq], indent=4, sort_keys=True)
return jstr