from trex_stl_lib.api import * # Example of STLVmFlowVarRepetableRandom instruction. # in this case it generate repetable random numbers with limit/seed class STLS1(object): def __init__ (self): self.fsize =64; def create_stream (self, direction, cache_size): # Create base packet and pad it to size size = self.fsize - 4; # HW will add 4 bytes ethernet FCS src_ip = '16.0.0.1' dst_ip = '48.0.0.1' if direction: src_ip, dst_ip = dst_ip, src_ip base_pkt = Ether()/IP(src=src_ip,dst=dst_ip)/UDP(dport=12,sport=1025) pad = max(0, size - len(base_pkt)) * 'x' vm = STLScVmRaw( [ STLVmFlowVar ( "ip_src", min_value="10.0.0.1", max_value="10.0.0.255", size=4, step=1,op="inc"), STLVmFlowVarRepetableRandom ( "ip_dst", min_value="48.0.0.1", max_value="48.0.0.255", size=4, limit=16, seed=0x1235), STLVmWrFlowVar (fv_name="ip_src", pkt_offset= "IP.src" ), # write ip to packet IP.src STLVmWrFlowVar (fv_name="ip_dst", pkt_offset= "IP.dst" ), # write ip to packet IP.dst STLVmFixIpv4(offset = "IP") # fix checksum ] ,split_by_field = "ip_src" # split to cores base on the tuple generator ,cache_size = cache_size # the cache size ); pkt = STLPktBuilder(pkt = base_pkt/pad, vm = vm) stream = STLStream(packet = pkt, mode = STLTXCont()) #print(stream.to_code()) return stream def get_streams (self, direction = 0, cache_size = 255, **kwargs): # create 1 stream return [ self.create_stream(direction, cache_size) ] # dynamic load - used for trex console or simulator def register(): return STLS1()