self._search_result = None
self._search_result_rate = None
+ @abstractmethod
+ def get_latency(self):
+ """Return min/avg/max latency.
+
+ :return: Latency stats.
+ :rtype: list
+ """
+ pass
+
@abstractmethod
def measure_loss(self, rate, frame_size, loss_acceptance,
loss_acceptance_type, traffic_type):
self._rate_max = float(max_rate)
self._rate_min = float(min_rate)
+ def set_loss_acceptance(self, loss_acceptance):
+ """Set loss acceptance treshold for PDR search.
+
+ :param loss_acceptance: Loss acceptance treshold for PDR search.
+ :type loss_acceptance: str
+ :return: nothing
+ """
+ if float(loss_acceptance) < 0:
+ raise ValueError("Loss acceptance must be higher or equal 0")
+ else:
+ self._loss_acceptance = float(loss_acceptance)
+
+ def get_loss_acceptance(self):
+ """Return configured loss acceptance treshold.
+
+ :return: Loss acceptance treshold.
+ :rtype: float
+ """
+ return self._loss_acceptance
+
+ def set_loss_acceptance_type_percentage(self):
+ """Set loss acceptance treshold type to percentage.
+
+ :return: nothing
+ """
+ self._loss_acceptance_type = LossAcceptanceType.PERCENTAGE
+
+ def set_loss_acceptance_type_frames(self):
+ """Set loss acceptance treshold type to frames.
+
+ :return: nothing
+ """
+ self._loss_acceptance_type = LossAcceptanceType.FRAMES
+
+ def loss_acceptance_type_is_percentage(self):
+ """Return true if loss acceptance treshold type is percentage,
+ false otherwise.
+
+ :return: True if loss acceptance treshold type is percentage.
+ :rtype: boolean
+ """
+ return self._loss_acceptance_type == LossAcceptanceType.PERCENTAGE
+
def set_search_linear_step(self, step_rate):
"""Set step size for linear search.
else:
raise ValueError("Unknown search result type")
-
def linear_search(self, start_rate, traffic_type):
"""Linear search of rate with loss below acceptance criteria.
:param start_rate: Initial rate.
:param traffic_type: Traffic profile.
:type start_rate: float
- :param traffic_type: str
+ :type traffic_type: str
:return: nothing
"""
res = self._get_res_based_on_search_type(res)
if self._search_linear_direction == SearchDirection.BOTTOM_UP:
- # loss occured and it was above acceptance criteria
+ # loss occurred and it was above acceptance criteria
if not res:
# if this is first run then we didn't find drop rate
if prev_rate is None:
raise RuntimeError("Unknown search result")
elif self._search_linear_direction == SearchDirection.TOP_DOWN:
- # loss occured, decrease rate
+ # loss occurred, decrease rate
if not res:
prev_rate = rate
rate -= self._rate_linear_step
def verify_search_result(self):
"""Fail if search was not successful.
- :return: Result rate.
- :rtype: float
+ :return: Result rate and latency stats.
+ :rtype: tuple
"""
if self._search_result == SearchResults.FAILURE:
raise Exception('Search FAILED')
elif self._search_result in [SearchResults.SUCCESS,
SearchResults.SUSPICIOUS]:
- return self._search_result_rate
+ return self._search_result_rate, self.get_latency()
- def binary_search(self, b_min, b_max, traffic_type):
+ def binary_search(self, b_min, b_max, traffic_type, skip_max_rate=False):
"""Binary search of rate with loss below acceptance criteria.
:param b_min: Min range rate.
:param b_max: Max range rate.
:param traffic_type: Traffic profile.
+ :param skip_max_rate: Start with max rate first
:type b_min: float
:type b_max: float
:type traffic_type: str
+ :type skip_max_rate: bool
:return: nothing
"""
if not self._rate_min <= float(b_max) <= self._rate_max:
raise ValueError("Max rate is not in min,max range")
if float(b_max) < float(b_min):
- raise ValueError("Min rate is greater then max rate")
+ raise ValueError("Min rate is greater than max rate")
# binary search
- # rate is half of interval + start of interval
- rate = ((float(b_max) - float(b_min)) / 2) + float(b_min)
+ if skip_max_rate:
+ # rate is half of interval + start of interval
+ rate = ((float(b_max) - float(b_min)) / 2) + float(b_min)
+ else:
+ # rate is max of interval
+ rate = float(b_max)
# rate diff with previous run
rate_diff = abs(self._last_binary_rate - rate)
res = self._get_res_based_on_search_type(res)
- # loss occured and it was above acceptance criteria
+ # loss occurred and it was above acceptance criteria
if not res:
- self.binary_search(b_min, rate, traffic_type)
+ self.binary_search(b_min, rate, traffic_type, True)
# there was no loss / loss below acceptance criteria
else:
self._search_result_rate = rate
- self.binary_search(rate, b_max, traffic_type)
+ self.binary_search(rate, b_max, traffic_type, True)
def combined_search(self, start_rate, traffic_type):
"""Combined search of rate with loss below acceptance criteria.
self._search_result_rate = None
# we will use binary search to refine search in one linear step
- self.binary_search(b_min, b_max, traffic_type)
+ self.binary_search(b_min, b_max, traffic_type, True)
# linear and binary search succeed
if self._search_result == SearchResults.SUCCESS:
Code Review / csit.git / blobdiff