PerfMeasurements: add ability to simulate measurements

The "bottom" measurements - meaning the most core measurement in a list
of measurements that we may run can now be "simulated".

This means that instead of actually running the measurement
tools/commands we instead run the following command:

    echo simulated start

And instead of returning real measurement results we return the same
structure of data with a single 0 value perf interval.

Combining this we can now run all of our ENRT recipes in a "simulation"
that preserves the number of commands per test recipe run and should
return results compatible with all of our tooling with just the basic 0
value.

The cpu measurement simulation does actually call the real measurement,
this is because this isn't a "bottom/core" measurement and is instead
designed to always wrap some other measurement.

Signed-off-by: Ondrej Lichtner <olichtne@redhat.com>

lnst/RecipeCommon/Perf/Measurements/BaseFlowMeasurement.py

@@ -1,3 +1,4 @@
+import time
 from dataclasses import dataclass
 import textwrap
 from typing import Optional, Union
@@ -10,6 +11,8 @@
 from lnst.RecipeCommon.Perf.Measurements.MeasurementError import MeasurementError
 from lnst.RecipeCommon.Perf.Measurements.BaseMeasurement import BaseMeasurement
 from lnst.RecipeCommon.Perf.Measurements.Results import FlowMeasurementResults, AggregatedFlowMeasurementResults
+from lnst.RecipeCommon.Perf.Results import PerfInterval
+from lnst.RecipeCommon.Perf.Results import SequentialPerfResult
 from lnst.RecipeCommon.Perf.Results import ParallelPerfResult
 
 
@@ -185,3 +188,36 @@ def aggregate_multi_flow_results(results):
             aggregated_result.add_results(parallel_result)
 
         return [aggregated_result]
+
+    def collect_simulated_results(self):
+        res = []
+        for test_flow in self.flows:
+            flow_results = FlowMeasurementResults(
+                measurement=self,
+                flow=test_flow,
+                warmup_duration=test_flow.warmup_duration,
+            )
+            flow_results.generator_results = ParallelPerfResult(
+                [
+                    SequentialPerfResult(
+                        [PerfInterval(0, 1, "bits", time.time())]
+                    )
+                ]
+            )
+            flow_results.generator_cpu_stats = PerfInterval(
+                0, 1, "cpu_percent", time.time()
+            )
+
+            flow_results.receiver_results = ParallelPerfResult(
+                [
+                    SequentialPerfResult(
+                        [PerfInterval(0, 1, "bits", time.time())]
+                    )
+                ]
+            )
+            flow_results.receiver_cpu_stats = PerfInterval(
+                0, 1, "cpu_percent", time.time()
+            )
+
+            res.append(flow_results)
+        return res

lnst/RecipeCommon/Perf/Measurements/BaseMeasurement.py

@@ -17,12 +17,21 @@ def recipe_conf(self):
     def start(self):
         raise NotImplementedError()
 
+    def simulate_start(self):
+        return self.start()
+
     def finish(self):
         raise NotImplementedError()
 
+    def simulate_finish(self):
+        return self.finish()
+
     def collect_results(self):
         raise NotImplementedError()
 
+    def collect_simulated_results(self):
+        return self.collect_results()
+
     @classmethod
     def report_results(cls, recipe, results):
         raise NotImplementedError()

lnst/RecipeCommon/Perf/Measurements/IperfFlowMeasurement.py

@@ -1,5 +1,6 @@
 import re
 import time
+import logging
 from typing import List
 
 from lnst.Common.IpAddress import ipaddress
@@ -70,6 +71,21 @@ def start(self):
 
         self._running_measurements = test_flows
 
+    def simulate_start(self):
+        if len(self._running_measurements) > 0:
+            raise MeasurementError("Measurement already running!")
+
+        test_flows = self._prepare_test_flows(self.flows)
+
+        result = None
+        for flow in test_flows:
+            flow.server_job = flow.server_job.netns.run('echo simulated start', bg=True)
+
+        for flow in test_flows:
+            flow.client_job = flow.client_job.netns.run('echo simulated start', bg=True)
+
+        self._running_measurements = test_flows
+
     def finish(self):
         test_flows = self._running_measurements
         try:
@@ -85,6 +101,17 @@ def finish(self):
         self._running_measurements = []
         self._finished_measurements = test_flows
 
+    def simulate_finish(self):
+        logging.info("Simulating minimal 1s measurement duration")
+        time.sleep(2)
+        test_flows = self._running_measurements
+        for flow in test_flows:
+            flow.client_job.wait()
+            flow.server_job.wait()
+
+        self._running_measurements = []
+        self._finished_measurements = test_flows
+
     def collect_results(self):
         test_flows = self._finished_measurements
 

lnst/RecipeCommon/Perf/Measurements/NeperFlowMeasurement.py

@@ -1,4 +1,5 @@
 import time
+import logging
 from typing import List, Dict, Tuple
 from lnst.Common.IpAddress import ipaddress
 from lnst.Controller.Job import Job
@@ -45,6 +46,21 @@ def start(self):
 
         self._running_measurements = test_flows
 
+    def simulate_start(self):
+        if len(self._running_measurements) > 0:
+            raise MeasurementError("Measurement already running!")
+
+        test_flows = self._prepare_test_flows(self.flows)
+
+        result = None
+        for flow in test_flows:
+            flow.server_job = flow.server_job.netns.run('echo simulated start', bg=True)
+
+        for flow in test_flows:
+            flow.client_job = flow.client_job.netns.run('echo simulated start', bg=True)
+
+        self._running_measurements = test_flows
+
     def finish(self):
         test_flows = self._running_measurements
         try:
@@ -60,6 +76,17 @@ def finish(self):
         self._running_measurements = []
         self._finished_measurements = test_flows
 
+    def simulate_finish(self):
+        logging.info("Simulating minimal 1s measurement duration")
+        time.sleep(1)
+        test_flows = self._running_measurements
+        for flow in test_flows:
+            flow.client_job.wait()
+            flow.server_job.wait()
+
+        self._running_measurements = []
+        self._finished_measurements = test_flows
+
     def _prepare_test_flows(self, flows: List[Flow]):
         test_flows = []
         for flow in flows:

lnst/RecipeCommon/Perf/Measurements/RDMABandwidthMeasurement.py

@@ -1,5 +1,6 @@
 from typing import Any, Optional
 import time
+import logging
 
 from lnst.Controller.Job import Job
 from lnst.Controller.Recipe import BaseRecipe
@@ -41,6 +42,16 @@ def start(self) -> None:
         for endpoint_test in self._endpoint_tests:
             endpoint_test.client_job.start(bg=True)
 
+    def simulate_start(self):
+        self._endpoint_tests.extend(self._prepare_endpoint_tests())
+
+        for endpoint_test in self._endpoint_tests:
+            endpoint_test.server_job = endpoint_test.server_job.netns.run("echo simulated start", bg=True)
+
+        self._start_timestamp = time.time()
+        for endpoint_test in self._endpoint_tests:
+            endpoint_test.client_job = endpoint_test.client_job.netns.run("echo simulated start", bg=True)
+
     def finish(self) -> None:
         try:
             for endpoint_test in self._endpoint_tests:
@@ -52,6 +63,11 @@ def finish(self) -> None:
                 endpoint_test.client_job.kill()
                 endpoint_test.server_job.kill()
 
+    def simulate_finish(self):
+        logging.info("Simulating minimal 1s measurement duration")
+        time.sleep(1)
+        self.finish()
+
     def collect_results(self) -> list[RDMABandwidthMeasurementResults]:
         results: list[RDMABandwidthMeasurementResults] = []
         for endpoint_test in self._endpoint_tests:

lnst/RecipeCommon/Perf/Measurements/TRexFlowMeasurement.py

@@ -1,6 +1,7 @@
 import time
 import signal
 import re
+import logging
 from lnst.Controller.RecipeResults import ResultLevel
 
 from lnst.RecipeCommon.Perf.Results import PerfInterval
@@ -67,6 +68,21 @@ def start(self):
 
         self._running_measurements = tests
 
+    def simulate_start(self):
+        if len(self._running_measurements) > 0:
+            raise MeasurementError("Measurement already running!")
+
+        tests = self._prepare_tests(self._flows)
+
+        result = None
+        for test in tests:
+            test.server_job = test.server_job.netns.run("echo simulated start", bg=True)
+
+        for test in tests:
+            test.client_job = test.client_job.netns.run("echo simulated start", bg=True)
+
+        self._running_measurements = tests
+
     def finish(self):
         tests = self._running_measurements
         try:
@@ -84,6 +100,17 @@ def finish(self):
         self._running_measurements = []
         self._finished_measurements = tests
 
+    def simulate_finish(self):
+        logging.info("Simulating minimal 1s measurement duration")
+        time.sleep(1)
+        tests = self._running_measurements
+        for test in tests:
+            test.client_job.wait()
+            test.server_job.wait()
+
+        self._running_measurements = []
+        self._finished_measurements = tests
+
     def _prepare_tests(self, flows):
         tests = []
 

lnst/RecipeCommon/Perf/Measurements/TcRunMeasurement.py

@@ -1,3 +1,4 @@
+import time
 import logging
 from tempfile import NamedTemporaryFile
 from typing import Optional
@@ -151,6 +152,16 @@ def start(self):
             job.start(bg=True)
             self._running_jobs.append(job)
 
+    def simulate_start(self):
+        if len(self._running_jobs) > 0:
+            raise MeasurementError("Measurement already running!")
+
+        jobs = self._prepare_jobs()
+
+        for job in jobs:
+            job = job.netns.run("echo simulated start", bg=True)
+            self._running_jobs.append(job)
+
     def _prepare_jobs(self) -> list[Job]:
         params: dict = {
             "batchfiles": [i.batchfile_path for i in self.instance_configs],
@@ -176,6 +187,11 @@ def finish(self):
         self._running_jobs = []
         self._finished_jobs = jobs
 
+    def simulate_finish(self):
+        logging.info("Simulating minimal 1s measurement duration")
+        time.sleep(1)
+        self.finish()
+
     def _make_instances_cfgs(self) -> list[TcRunInstance]:
         #TODO perhaps make this be something the recipe or a ResultGenerator creates
         configs = []
@@ -205,6 +221,17 @@ def collect_results(self) -> list[TcRunMeasurementResults]:
 
         return [run_result]
 
+    def collect_simulated_results(self):
+        run_result = TcRunMeasurementResults(
+            measurement=self,
+            device=self.device,
+        )
+        run_result.rule_install_rate = ParallelPerfResult(
+            [PerfInterval(0, 1, "rules", time.time())]
+        )
+        run_result.run_success = True
+        return [run_result]
+
     def _get_instance_interval(self, instance_data: dict):
         return PerfInterval(
             value=self._rules_per_instance,

lnst/RecipeCommon/Perf/Measurements/XDPBenchMeasurement.py

@@ -1,3 +1,6 @@
+import time
+import logging
+
 from lnst.RecipeCommon.Perf.Measurements.Results.AggregatedXDPBenchMeasurementResults import (
     AggregatedXDPBenchMeasurementResults,
 )
@@ -47,6 +50,16 @@ def start(self):
 
         self._running_measurements = net_flows
 
+    def simulate_start(self):
+        net_flows = self._prepare_flows()
+        for flow in net_flows:
+            flow.server_job = flow.server_job.netns.run("echo simulated start", bg=True)
+            flow.client_job = flow.client_job.netns.run("echo simulated start", bg=True)
+            # server starts immediately, no need to wait
+            self._running_measurements.append(flow)
+
+        self._running_measurements = net_flows
+
     def _prepare_server(self, flow: Flow):
         params = {
             "command": self.command,
@@ -97,6 +110,15 @@ def finish(self):
         self._finished_measurements = self._running_measurements
         self._running_measurements = []
 
+    def simulate_finish(self):
+        logging.info("Simulating minimal 1s measurement duration")
+        time.sleep(1)
+        for flow in self._running_measurements:
+            flow.server_job.wait()
+            flow.client_job.wait()
+        self._finished_measurements = self._running_measurements
+        self._running_measurements = []
+
     def collect_results(self):
         test_flows = self._finished_measurements
 

lnst/RecipeCommon/Perf/Recipe.py

@@ -24,16 +24,22 @@ def __init__(
         measurements: List[BaseMeasurement],
         iterations: int,
         parent_recipe_config: Any = None,
+        simulate_measurements: bool = False,
     ):
         self._measurements = measurements
         self._evaluators = dict()
         self._iterations = iterations
         self._parent_recipe_config = parent_recipe_config
+        self._simulate_measurements = simulate_measurements
 
     @property
     def measurements(self):
         return self._measurements
 
+    @property
+    def simulate_measurements(self):
+        return self._simulate_measurements
+
     @property
     def evaluators(self):
         return dict(self._evaluators)
@@ -167,11 +173,23 @@ def perf_test_iteration(
 
         try:
             for measurement in recipe_conf.measurements:
-                measurement.start()
+                if recipe_conf.simulate_measurements:
+                    logging.info(f"Simulating start of measurement {measurement}")
+                    measurement.simulate_start()
+                else:
+                    measurement.start()
             for measurement in reversed(recipe_conf.measurements):
-                measurement.finish()
+                if recipe_conf.simulate_measurements:
+                    logging.info(f"Simulating finish of measurement {measurement}")
+                    measurement.simulate_finish()
+                else:
+                    measurement.finish()
             for measurement in recipe_conf.measurements:
-                measurement_results = measurement.collect_results()
+                if recipe_conf.simulate_measurements:
+                    logging.info(f"Simulating result collection of measurement {measurement}")
+                    measurement_results = measurement.collect_simulated_results()
+                else:
+                    measurement_results = measurement.collect_results()
                 results.add_measurement_results(
                     measurement, measurement_results
                 )