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udp_functions.py
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udp_functions.py
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import socket
import data_proc_func
import kafka_helper
import matplotlib.pyplot as plt
import ADC_Data_Processor
import Send_Kafka_Event
HEADER_STRING = "ffffffffffffffff0"
END_HEADER = "efffffffffffffff0"
HOST_PORT = 48641, 48642, 48643, 48644, 48868
HOST_IP = "192.168.1.125"
SRC_IP_ADDRESS = "192.168.1.201", "192.168.1.202", "192.168.1.203", "192.168.1.204", "192.168.1.251"
def kafka_single_thread_udp_receiver(HOST_IP, SRC_IP_ADDRESS, HOST_PORT, stop, PACKET_COUNT,
instance): # ,stream_length):
PACKET_COUNT = 0
# HOST_IP = "192.168.1.119"
IP_ADDRESS_0 = SRC_IP_ADDRESS
sock = socket.socket(socket.AF_INET, # Internet
socket.SOCK_DGRAM) # UDP
sock.bind((HOST_IP, HOST_PORT,))
sock.settimeout(2)
print("Thread", instance, "started")
while True:
try:
if socket.gethostbyname(IP_ADDRESS_0):
data, addr = sock.recvfrom(
900400) # set buffer size (did have at 9004 for frame size, not sure if larger helps)
PACKET_COUNT = PACKET_COUNT + 1
# print(data.hex())
kafka_helper.send_data({'packet': data.hex(), 'packet_info': SRC_IP_ADDRESS})
except socket.timeout:
if stop():
# print("thread killed_in")
break
continue
# break
if stop():
print("Total Packets Received:", instance, PACKET_COUNT, "\n", end="\r", flush=True)
# print("thread killed",instance,"\n",end="\r",flush=True)
break
return PACKET_COUNT
def thread_ch_list(ch_list):
thread_list = []
for i in ch_list:
if i <= 5:
thread_list.append(0)
elif 6 <= i <= 11:
thread_list.append(1)
elif 12 <= i <= 17:
thread_list.append(2)
elif 18 <= i <= 23:
thread_list.append(3)
thread_list = set(list(dict.fromkeys(thread_list)))
return thread_list
def kafka_slim_single_thread_udp_receiver(stop, PACKET_COUNT,instance): # ,stream_length):
sock = socket.socket(socket.AF_INET, # Internet
socket.SOCK_DGRAM) # UDP
sock.bind((HOST_IP, HOST_PORT[instance],))
sock.settimeout(2)
print("Thread", instance, "started")
while True:
try:
if socket.gethostbyname(SRC_IP_ADDRESS[instance]):
data, addr = sock.recvfrom(900400)
# ^ set buffer size (did have at 9004 for frame size, not sure if larger helps)
PACKET_COUNT = PACKET_COUNT + 1
print("FPGA" + str(instance) + " Packet Count:" + str(PACKET_COUNT))
# print(data.hex())
kafka_helper.send_data({'packet': data.hex(), 'packet_info': SRC_IP_ADDRESS[instance]})
except socket.timeout:
if stop():
# print("thread killed_in")
break
continue
# break
if stop():
print("Total Packets Received:", instance, PACKET_COUNT, "\n", end="\r", flush=True)
# print("thread killed",instance,"\n",end="\r",flush=True)
break
return PACKET_COUNT
def data_plot_string(kafka_data):
position, PulseHeight, StartSig, Misplace, MaxSlope, AreaData, Time = [], [], [], [], [], [], []
position_combined, PulseHeight_combined, StartSig_combined, Misplace_combined, MaxSlope_combined, AreaData_combined, Time_combined = [], [], [], [], [], [], []
kafka_data = kafka_data.splitlines() # turn carriage return string into a list
kafka_data = [e[128:] for e in kafka_data] # remove the header from the list
for line in kafka_data:
position = [(int(line[i + 29:i + 32], 16) / 8) for i in range(0, len(line), 32)]
PulseHeight = [(int(line[i + 26:i + 29], 16) / 8) for i in range(0, len(line), 32)]
StartSig = [(int(line[i + 23:i + 26], 16) / 8) for i in range(0, len(line), 32)]
Misplace = [(int(line[i + 20:i + 23], 16) / 8) for i in range(0, len(line), 32)]
MaxSlope = [(int(line[i + 17:i + 20], 16) / 8) for i in range(0, len(line), 32)]
AreaData = [(int(line[i + 14:i + 17], 16) / 8) for i in range(0, len(line), 32)]
Time = [(int(line[i + 3:i + 8], 16)) for i in range(0, len(line), 32)]
position_combined = position_combined + position
PulseHeight_combined = PulseHeight_combined + PulseHeight
StartSig_combined = StartSig_combined + StartSig
Misplace_combined = Misplace_combined + Misplace
MaxSlope_combined = MaxSlope_combined + MaxSlope
AreaData_combined = AreaData_combined + AreaData
Time_combined = Time_combined + Time
figure, axes = plt.subplots(nrows=2, ncols=4)
axes[0, 0].hist(position_combined, bins=255)
axes[0, 0].set_title('Position')
axes[0, 1].hist(PulseHeight_combined, bins=255)
axes[0, 1].set_title('Pulse Height')
axes[0, 2].hist(StartSig_combined, bins=255)
axes[0, 2].set_title('Start Sig')
axes[1, 0].hist(Misplace_combined, bins=255)
axes[1, 0].set_title('Misplace')
axes[1, 1].hist(MaxSlope_combined, bins=255)
axes[1, 1].set_title('Max Slope')
axes[1, 2].hist(AreaData_combined, bins=255)
axes[1, 2].set_title('Area Data')
axes[0, 3].hist(Time_combined)
axes[0, 3].set_title('Time')
plt.show()
return
def kafka_slim_single_thread_udp_receiver_MultiMerlin(stop, PACKET_COUNT,instance, Stream_Port, Stream_IP): # ,stream_length):
sock = socket.socket(socket.AF_INET, # Internet
socket.SOCK_DGRAM) # UDP
sock.bind((HOST_IP, Stream_Port,))
sock.settimeout(2)
print("Thread", instance, "started")
while True:
try:
if socket.gethostbyname(Stream_IP):
data, addr = sock.recvfrom(900400)
# ^ set buffer size (did have at 9004 for frame size, not sure if larger helps)
PACKET_COUNT = PACKET_COUNT + 1
print("FPGA" + str(Stream_IP) + " Packet Count:" + str(PACKET_COUNT))
# print(data.hex())
# kafka_helper.send_data({'packet': data.hex(), 'packet_info': Stream_IP})
except socket.timeout:
if stop():
# print("thread killed_in")
break
continue
# break
if stop():
print("Total Packets Received:", instance, PACKET_COUNT, "\n", end="\r", flush=True)
# print("thread killed",instance,"\n",end="\r",flush=True)
break
return PACKET_COUNT
def MultipleStreamToProcessedEV42(stop, PACKET_COUNT,instance, Stream_Port, Stream_IP): # ,stream_length):
sock = socket.socket(socket.AF_INET, # Internet
socket.SOCK_DGRAM) # UDP
sock.bind((HOST_IP, Stream_Port,))
sock.settimeout(2)
print("Thread", instance, "started")
totalnumprocessedevents = 0
totalnumerror = 0
while True:
try:
if socket.gethostbyname(Stream_IP):
data, addr = sock.recvfrom(900400)
# ^ set buffer size (did have at 9004 for frame size, not sure if larger helps)
PACKET_COUNT = int(PACKET_COUNT) + 1
# print("FPGA" + str(Stream_IP) + " Packet Count:" + str(PACKET_COUNT))
PacketFrames = ADC_Data_Processor.PacketFrameSplitter(data.hex())
# for each of the frames in the current packet:
for f in range(0, len(PacketFrames)):
HeaderData = ADC_Data_Processor.HeaderProcessor(PacketFrames[f]) # process header data - returns list
EventData = PacketFrames[f][128:len(PacketFrames[f])] # Define event data (framedata - header)
# process the frame into events
result = ADC_Data_Processor.PacketProcessor_MAPS(EventData, Stream_IP)
# push the data into ESS Flatbuffer format
EV42_FrameData = ADC_Data_Processor.Serialise_EV42(Stream_IP, HeaderData[0], HeaderData[2], result[0],
result[1])
Send_Kafka_Event.send_flatBuffer(EV42_FrameData)
totalnumerror += result[5] # get packet processor number of errors
totalnumprocessedevents += int(result[6]) # get packet processor number of events
print("Thread:", instance, ", SRC IP:", Stream_IP,", Total Event Errors: ",totalnumerror,", Total Events: ", totalnumprocessedevents)
# print(data.hex())
# kafka_helper.send_data({'packet': data.hex(), 'packet_info': Stream_IP})
except socket.timeout:
if stop():
# print("thread killed_in")
break
continue
# break
if stop():
print("Total Packets Received:", instance, PACKET_COUNT, "\n", end="\r", flush=True)
# print("thread killed",instance,"\n",end="\r",flush=True)
break
return PACKET_COUNT
# MultipleStreamToProcessedEV42(False, 0, 1 ,48640,"192.168.1.201")