Emulated Collector is added in Telemetry backend to produce multiple metrics at single timestamp.

LOGGER = logging.getLogger(__name__)

class NetworkMetricsEmulator(threading.Thread):

    """

    This collector class will generate a single emulated metric value. 

    """

    def __init__(self, interval=1, duration=10, metric_queue=None, network_state="moderate"):

        LOGGER.info("Initiaitng Emulator")

        super().__init__()

import numpy as np

import random

import threading

import time

import logging

import queue

LOGGER = logging.getLogger(__name__)

class NetworkMetricsEmulator(threading.Thread):

    """

    This collector class will generate the emulated metrics for PKT_IN, PKT_OUT, BYTES_IN, BYTES_OUT and PKT_DROP as a list.

    """

    def __init__(self, interval=1, duration=10, metric_queue=None, network_state="moderate"):

        LOGGER.info("Initiaitng Emulator")

        super().__init__()

        self.interval            = interval

        self.duration            = duration

        self.metric_queue        = metric_queue if metric_queue is not None else queue.Queue()

        self.network_state       = network_state

        self.running             = True

        self.set_inital_parameter_values()

    def set_inital_parameter_values(self):

        self.bytes_per_pkt       = random.uniform(65, 150)

        self.states              = ["good", "moderate", "poor"]

        self.state_probabilities = {

            "good"    : [0.8, 0.2, 0.0],

            "moderate": [0.2, 0.6, 0.2],

            "poor"    : [0.0, 0.4, 0.6]

        }

        if self.network_state   == "good":

            self.packet_in = random.uniform(700, 900)

        elif self.network_state == "moderate":

            self.packet_in = random.uniform(300, 700)

        else:

            self.packet_in = random.uniform(100, 300)

    def generate_synthetic_data_point(self):

        if self.network_state   == "good":

            packet_loss  = random.uniform(0.01, 0.1)  

            random_noise = random.uniform(1,10)

        elif self.network_state == "moderate":

            packet_loss  = random.uniform(0.1, 1)

            random_noise = random.uniform(10, 40)

        elif self.network_state == "poor":

            packet_loss  = random.uniform(1, 3)

            random_noise = random.uniform(40, 100)

        else:

            raise ValueError("Invalid network state. Must be 'good', 'moderate', or 'poor'.")

        # self.packet_in += random_noise

        period        = 60 * 60 * random.uniform(10, 100)

        amplitude     = random.uniform(50, 100) 

        sin_wave      = amplitude  * np.sin(2 * np.pi   * 100 / period) + self.packet_in

        packet_in     = sin_wave   + ((sin_wave/100)    * random_noise)

        packet_out    = packet_in  - ((packet_in / 100) * packet_loss)

        bytes_in      = packet_in  * self.bytes_per_pkt

        bytes_out     = packet_out * self.bytes_per_pkt

        state_prob = self.state_probabilities[self.network_state]

        self.network_state = random.choices(self.states, state_prob)[0]

        print (self.network_state)

        return [float(packet_in), float(packet_out), float(bytes_in), float(bytes_out), float(packet_loss)]

        # return packet_in

    def run(self):

        while self.running and (self.duration == -1 or self.duration > 0):

            packet_in = self.generate_synthetic_data_point()

            self.metric_queue.put(packet_in)

            time.sleep(self.interval)  

            if self.duration > 0:

                self.duration -= self.interval

                if self.duration == -1:

                    self.duration = 0

        LOGGER.debug("Emulator collector is stopped.")

        self.stop()

    def stop(self):

        self.running = False

        if not self.is_alive():

            print("Thread is terminated.")