if subtype == NodeSubTypeTG.TREX:
# Last line from console output
line = stdout.splitlines()[-1]
- results = line.split(",")
- if results[-1] == u" ":
- results.remove(u" ")
+ results = line.split(u",")
+ if results[-1] in (u" ", u""):
+ results.pop(-1)
self._result = dict()
for result in results:
key, value = result.split(u"=", maxsplit=1)
self._result.get(u"client_active_flows")
self._l7_data[u"client"][u"established_flows"] = \
self._result.get(u"client_established_flows")
+ self._l7_data[u"client"][u"err_rx_throttled"] = \
+ self._result.get(u"client_err_rx_throttled")
+ self._l7_data[u"client"][u"err_c_nf_throttled"] = \
+ self._result.get(u"client_err_nf_throttled")
+ self._l7_data[u"client"][u"err_flow_overflow"] = \
+ self._result.get(u"client_err_flow_overflow")
self._l7_data[u"server"] = dict()
self._l7_data[u"server"][u"active_flows"] = \
self._result.get(u"server_active_flows")
self._l7_data[u"server"][u"established_flows"] = \
self._result.get(u"server_established_flows")
+ self._l7_data[u"server"][u"err_rx_throttled"] = \
+ self._result.get(u"client_err_rx_throttled")
if u"udp" in self.traffic_profile:
self._l7_data[u"client"][u"udp"] = dict()
self._l7_data[u"client"][u"udp"][u"established_flows"] = \
self._result.get(u"client_udp_connects")
self._l7_data[u"client"][u"udp"][u"closed_flows"] = \
self._result.get(u"client_udp_closed")
+ self._l7_data[u"client"][u"udp"][u"tx_bytes"] = \
+ self._result.get(u"client_udp_tx_bytes")
+ self._l7_data[u"client"][u"udp"][u"rx_bytes"] = \
+ self._result.get(u"client_udp_rx_bytes")
+ self._l7_data[u"client"][u"udp"][u"tx_packets"] = \
+ self._result.get(u"client_udp_tx_packets")
+ self._l7_data[u"client"][u"udp"][u"rx_packets"] = \
+ self._result.get(u"client_udp_rx_packets")
+ self._l7_data[u"client"][u"udp"][u"keep_drops"] = \
+ self._result.get(u"client_udp_keep_drops")
self._l7_data[u"server"][u"udp"] = dict()
self._l7_data[u"server"][u"udp"][u"accepted_flows"] = \
self._result.get(u"server_udp_accepts")
self._l7_data[u"server"][u"udp"][u"closed_flows"] = \
self._result.get(u"server_udp_closed")
+ self._l7_data[u"server"][u"udp"][u"tx_bytes"] = \
+ self._result.get(u"server_udp_tx_bytes")
+ self._l7_data[u"server"][u"udp"][u"rx_bytes"] = \
+ self._result.get(u"server_udp_rx_bytes")
+ self._l7_data[u"server"][u"udp"][u"tx_packets"] = \
+ self._result.get(u"server_udp_tx_packets")
+ self._l7_data[u"server"][u"udp"][u"rx_packets"] = \
+ self._result.get(u"server_udp_rx_packets")
elif u"tcp" in self.traffic_profile:
self._l7_data[u"client"][u"tcp"] = dict()
self._l7_data[u"client"][u"tcp"][u"initiated_flows"] = \
self._result.get(u"client_tcp_connects")
self._l7_data[u"client"][u"tcp"][u"closed_flows"] = \
self._result.get(u"client_tcp_closed")
+ self._l7_data[u"client"][u"tcp"][u"tx_bytes"] = \
+ self._result.get(u"client_tcp_tx_bytes")
+ self._l7_data[u"client"][u"tcp"][u"rx_bytes"] = \
+ self._result.get(u"client_tcp_rx_bytes")
self._l7_data[u"server"][u"tcp"] = dict()
self._l7_data[u"server"][u"tcp"][u"accepted_flows"] = \
self._result.get(u"server_tcp_accepts")
self._result.get(u"server_tcp_connects")
self._l7_data[u"server"][u"tcp"][u"closed_flows"] = \
self._result.get(u"server_tcp_closed")
+ self._l7_data[u"server"][u"tcp"][u"tx_bytes"] = \
+ self._result.get(u"server_tcp_tx_bytes")
+ self._l7_data[u"server"][u"tcp"][u"rx_bytes"] = \
+ self._result.get(u"server_tcp_rx_bytes")
def trex_astf_stop_remote_exec(self, node):
"""Execute T-Rex ASTF script on remote node over ssh to stop running
self._loss = None
self._latency = None
xstats = [None, None]
+ self._l7_data = dict()
self._l7_data[u"client"] = dict()
self._l7_data[u"client"][u"active_flows"] = None
self._l7_data[u"client"][u"established_flows"] = None
"""
subtype = check_subtype(self._node)
if subtype == NodeSubTypeTG.TREX:
- self.set_rate_provider_defaults(
- frame_size, traffic_profile,
- traffic_directions=traffic_directions)
+ if self.traffic_profile != str(traffic_profile):
+ self.traffic_profile = str(traffic_profile)
if u"trex-astf" in self.traffic_profile:
self.trex_astf_start_remote_exec(
- duration, int(rate), frame_size, traffic_profile,
+ duration, int(rate), frame_size, self.traffic_profile,
async_call, latency, warmup_time, traffic_directions,
tx_port, rx_port
)
elif u"trex-sl" in self.traffic_profile:
unit_rate_str = str(rate) + u"pps"
self.trex_stl_start_remote_exec(
- duration, unit_rate_str, frame_size, traffic_profile,
+ duration, unit_rate_str, frame_size, self.traffic_profile,
async_call, latency, warmup_time, traffic_directions,
tx_port, rx_port
)
# TG needs target Tr per stream, but reports aggregate Tx and Dx.
unit_rate_int = transmit_rate / float(self.traffic_directions)
self.send_traffic_on_tg(
- duration, unit_rate_int, self.frame_size, self.traffic_profile,
- warmup_time=self.warmup_time, latency=self.use_latency,
+ duration,
+ unit_rate_int,
+ self.frame_size,
+ self.traffic_profile,
+ warmup_time=self.warmup_time,
+ latency=self.use_latency,
traffic_directions=self.traffic_directions
)
return self.get_measurement_result(duration, transmit_rate)
maximum_transmit_rate, packet_loss_ratio=0.005,
final_relative_width=0.005, final_trial_duration=30.0,
initial_trial_duration=1.0, number_of_intermediate_phases=2,
- timeout=720.0, doublings=1, traffic_directions=2):
+ timeout=720.0, doublings=1, traffic_directions=2, latency=False):
"""Setup initialized TG, perform optimized search, return intervals.
:param frame_size: Frame size identifier or value [B].
less stable tests might get better overal duration with 2 or more.
:param traffic_directions: Traffic is bi- (2) or uni- (1) directional.
Default: 2
+ :param latency: Whether to measure latency during the trial.
+ Default: False.
:type frame_size: str or int
:type traffic_profile: str
:type minimum_transmit_rate: float
:type timeout: float
:type doublings: int
:type traffic_directions: int
+ :type latency: bool
:returns: Structure containing narrowed down NDR and PDR intervals
and their measurements.
:rtype: NdrPdrResult
u"resources.libraries.python.TrafficGenerator"
)
tg_instance.set_rate_provider_defaults(
- frame_size, traffic_profile, traffic_directions=traffic_directions)
+ frame_size,
+ traffic_profile,
+ traffic_directions=traffic_directions,
+ latency=latency
+ )
algorithm = MultipleLossRatioSearch(
measurer=tg_instance, final_trial_duration=final_trial_duration,
final_relative_width=final_relative_width,
u"resources.libraries.python.TrafficGenerator"
)
tg_instance.set_rate_provider_defaults(
- frame_size, traffic_profile, traffic_directions=traffic_directions,
- negative_loss=False, latency=latency)
+ frame_size,
+ traffic_profile,
+ traffic_directions=traffic_directions,
+ negative_loss=False,
+ latency=latency
+ )
algorithm = PLRsearch(
measurer=tg_instance, trial_duration_per_trial=tdpt,
packet_loss_ratio_target=plr_target,
Code Review / csit.git / blobdiff