Initial VNFTEST fw

Issue-ID: VNFSDK-195

Change-Id: I5abf0dd033e76e5225bb8271c0afaea325d741d9
Signed-off-by: Moshe <moshehoa@amdocs.com>

docker build

Issue-ID: VNFSDK-195

Change-Id: I25eb933504c0201e6c26477b540626fd515d2887

Signed-off-by: Moshe <moshehoa@amdocs.com>

fix requirements

Issue-ID: VNFSDK-195
Change-Id: I5907fa102bfbf9cb81d42e491c133b4fdbb0d6fd
Signed-off-by: Moshe <moshehoa@amdocs.com>

rm netifaces

Issue-ID: VNFSDK-195
Change-Id: I349d0c738442edfef256c90b06cbaeb446c1db13
Signed-off-by: Moshe <moshehoa@amdocs.com>

fix tox config

IssueID: VNFTEST-195

Change-Id: I5c0b0e0ab96cad1bdc56ab63860d794bfd15b5eb
Signed-off-by: Moshe <moshehoa@amdocs.com>

Add unit test

IssueID: VNFTEST-195
Change-Id: I08c9ba53721306aff4b74720181f8c853c4ccabe
Signed-off-by: Moshe <moshehoa@amdocs.com>

fix setup.py

Issue-ID: VNFSDK-195
Change-Id: I72bd93e4977edf5ef0b46c72fe47165b805aab7b
Signed-off-by: Moshe <moshehoa@amdocs.com>

fix test execution

Issue-ID: VNFSDK-195
Change-Id: I488a6226d2562229f0e7fa6c1d20f0c43882bc3b
Signed-off-by: Moshe <moshehoa@amdocs.com>

7 files changed, 1063 insertions, 0 deletions

diff --git a/vnftest/onap/runners/__init__.py b/vnftest/onap/runners/__init__.py
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/vnftest/onap/runners/__init__.py
diff --git a/vnftest/onap/runners/base.py b/vnftest/onap/runners/base.py
new file mode 100755
index 0000000..5170bbe
--- /dev/null
+++ b/vnftest/onap/runners/base.py
@@ -0,0 +1,250 @@
+##############################################################################
+# Copyright 2018 EuropeanSoftwareMarketingLtd.
+# ===================================================================
+#  Licensed under the ApacheLicense, Version2.0 (the"License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#  http://www.apache.org/licenses/LICENSE-2.0
+#
+# software distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and limitations under
+# the License
+##############################################################################
+# vnftest comment: this is a modified copy of
+# rally/rally/benchmark/runners/base.py
+
+from __future__ import absolute_import
+import logging
+import multiprocessing
+import subprocess
+import time
+import traceback
+import importlib
+from Queue import Empty
+
+import vnftest.common.utils as utils
+from vnftest.onap.steps import base as base_step
+from vnftest.onap.steps.onap_api_call import OnapApiCall
+
+log = logging.getLogger(__name__)
+
+
+def _execute_shell_command(command):
+    """execute shell script with error handling"""
+    exitcode = 0
+    try:
+        output = subprocess.check_output(command, shell=True)
+    except Exception:
+        exitcode = -1
+        output = traceback.format_exc()
+        log.error("exec command '%s' error:\n ", command)
+        log.error(traceback.format_exc())
+
+    return exitcode, output
+
+
+def _single_action(seconds, command, queue):
+    """entrypoint for the single action process"""
+    log.debug("single action, fires after %d seconds (from now)", seconds)
+    time.sleep(seconds)
+    log.debug("single action: executing command: '%s'", command)
+    ret_code, data = _execute_shell_command(command)
+    if ret_code < 0:
+        log.error("single action error! command:%s", command)
+        queue.put({'single-action-data': data})
+        return
+    log.debug("single action data: \n%s", data)
+    queue.put({'single-action-data': data})
+
+
+def _periodic_action(interval, command, queue):
+    """entrypoint for the periodic action process"""
+    log.debug("periodic action, fires every: %d seconds", interval)
+    time_spent = 0
+    while True:
+        time.sleep(interval)
+        time_spent += interval
+        log.debug("periodic action, executing command: '%s'", command)
+        ret_code, data = _execute_shell_command(command)
+        if ret_code < 0:
+            log.error("periodic action error! command:%s", command)
+            queue.put({'periodic-action-data': data})
+            break
+        log.debug("periodic action data: \n%s", data)
+        queue.put({'periodic-action-data': data})
+
+
+class Runner(object):
+    runners = []
+
+    @staticmethod
+    def get_cls(runner_type):
+        """return class of specified type"""
+        for runner in utils.itersubclasses(Runner):
+            if runner_type == runner.__execution_type__:
+                return runner
+        raise RuntimeError("No such runner_type %s" % runner_type)
+
+    @staticmethod
+    def get_types():
+        """return a list of known runner type (class) names"""
+        types = []
+        for runner in utils.itersubclasses(Runner):
+            types.append(runner)
+        return types
+
+    @staticmethod
+    def get(runner_cfg):
+        """Returns instance of a step runner for execution type.
+        """
+        return Runner.get_cls(runner_cfg["type"])(runner_cfg)
+
+    @staticmethod
+    def release(runner):
+        """Release the runner"""
+        if runner in Runner.runners:
+            Runner.runners.remove(runner)
+
+    @staticmethod
+    def terminate(runner):
+        """Terminate the runner"""
+        if runner.process and runner.process.is_alive():
+            runner.process.terminate()
+
+    @staticmethod
+    def terminate_all():
+        """Terminate all runners (subprocesses)"""
+        log.debug("Terminating all runners", exc_info=True)
+
+        # release dumper process as some errors before any runner is created
+        if not Runner.runners:
+            return
+
+        for runner in Runner.runners:
+            log.debug("Terminating runner: %s", runner)
+            if runner.process:
+                runner.process.terminate()
+                runner.process.join()
+            if runner.periodic_action_process:
+                log.debug("Terminating periodic action process")
+                runner.periodic_action_process.terminate()
+                runner.periodic_action_process = None
+            Runner.release(runner)
+
+    def __init__(self, config):
+        self.config = config
+        self.periodic_action_process = None
+        self.output_queue = multiprocessing.Queue()
+        self.result_queue = multiprocessing.Queue()
+        self.process = None
+        self.aborted = multiprocessing.Event()
+        Runner.runners.append(self)
+
+    def run_post_stop_action(self):
+        """run a potentially configured post-stop action"""
+        if "post-stop-action" in self.config:
+            command = self.config["post-stop-action"]["command"]
+            log.debug("post stop action: command: '%s'", command)
+            ret_code, data = _execute_shell_command(command)
+            if ret_code < 0:
+                log.error("post action error! command:%s", command)
+                self.result_queue.put({'post-stop-action-data': data})
+                return
+            log.debug("post-stop data: \n%s", data)
+            self.result_queue.put({'post-stop-action-data': data})
+
+    def _run_step(self, cls, method_name, step_cfg, context_cfg):
+        raise NotImplementedError
+
+    def run(self, step_cfg, context_cfg):
+        step_type = step_cfg["type"]
+        class_name = base_step.Step.get(step_type)
+        path_split = class_name.split(".")
+        module_path = ".".join(path_split[:-1])
+        module = importlib.import_module(module_path)
+        cls = getattr(module, path_split[-1])
+
+        self.config['object'] = class_name
+        self.aborted.clear()
+
+        # run a potentially configured pre-start action
+        if "pre-start-action" in self.config:
+            command = self.config["pre-start-action"]["command"]
+            log.debug("pre start action: command: '%s'", command)
+            ret_code, data = _execute_shell_command(command)
+            if ret_code < 0:
+                log.error("pre-start action error! command:%s", command)
+                self.result_queue.put({'pre-start-action-data': data})
+                return
+            log.debug("pre-start data: \n%s", data)
+            self.result_queue.put({'pre-start-action-data': data})
+
+        if "single-shot-action" in self.config:
+            single_action_process = multiprocessing.Process(
+                target=_single_action,
+                name="single-shot-action",
+                args=(self.config["single-shot-action"]["after"],
+                      self.config["single-shot-action"]["command"],
+                      self.result_queue))
+            single_action_process.start()
+
+        if "periodic-action" in self.config:
+            self.periodic_action_process = multiprocessing.Process(
+                target=_periodic_action,
+                name="periodic-action",
+                args=(self.config["periodic-action"]["interval"],
+                      self.config["periodic-action"]["command"],
+                      self.result_queue))
+            self.periodic_action_process.start()
+
+        self._run_step(cls, "run", step_cfg, context_cfg)
+
+    def abort(self):
+        """Abort the execution of a step"""
+        self.aborted.set()
+
+    QUEUE_JOIN_INTERVAL = 5
+
+    def poll(self, timeout=QUEUE_JOIN_INTERVAL):
+        self.process.join(timeout)
+        return self.process.exitcode
+
+    def join(self, outputs, result, interval=QUEUE_JOIN_INTERVAL):
+        while self.process.exitcode is None:
+            # drain the queue while we are running otherwise we won't terminate
+            outputs.update(self.get_output())
+            result.extend(self.get_result())
+            self.process.join(interval)
+        # drain after the process has exited
+        outputs.update(self.get_output())
+        result.extend(self.get_result())
+
+        self.process.terminate()
+        if self.periodic_action_process:
+            self.periodic_action_process.join(1)
+            self.periodic_action_process.terminate()
+            self.periodic_action_process = None
+
+        self.run_post_stop_action()
+        return self.process.exitcode
+
+    def get_output(self):
+        result = {}
+        while not self.output_queue.empty():
+            log.debug("output_queue size %s", self.output_queue.qsize())
+            try:
+                result.update(self.output_queue.get(True, 1))
+            except Empty:
+                pass
+        return result
+
+    def get_result(self):
+        result = []
+        while not self.result_queue.empty():
+            log.debug("result_queue size %s", self.result_queue.qsize())
+            try:
+                result.append(self.result_queue.get(True, 1))
+            except Empty:
+                pass
+        return result
diff --git a/vnftest/onap/runners/duration.py b/vnftest/onap/runners/duration.py
new file mode 100644
index 0000000..7e539e5
--- /dev/null
+++ b/vnftest/onap/runners/duration.py
@@ -0,0 +1,145 @@
+##############################################################################
+# Copyright 2018 EuropeanSoftwareMarketingLtd.
+# ===================================================================
+#  Licensed under the ApacheLicense, Version2.0 (the"License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#  http://www.apache.org/licenses/LICENSE-2.0
+#
+# software distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and limitations under
+# the License
+##############################################################################
+# vnftest comment: this is a modified copy of
+# rally/rally/benchmark/runners/duration.py
+
+"""A runner that runs a specific time before it returns
+"""
+
+from __future__ import absolute_import
+import os
+import multiprocessing
+import logging
+import traceback
+import time
+
+from vnftest.onap.runners import base
+
+LOG = logging.getLogger(__name__)
+
+
+QUEUE_PUT_TIMEOUT = 10
+
+
+def _worker_process(queue, cls, method_name, step_cfg,
+                    context_cfg, aborted, output_queue):
+
+    sequence = 1
+
+    runner_cfg = step_cfg['runner']
+
+    interval = runner_cfg.get("interval", 1)
+    duration = runner_cfg.get("duration", 60)
+    LOG.info("Worker START, duration is %ds", duration)
+    LOG.debug("class is %s", cls)
+
+    runner_cfg['runner_id'] = os.getpid()
+
+    step = cls(step_cfg, context_cfg)
+    step.setup()
+    method = getattr(step, method_name)
+
+    sla_action = None
+    if "sla" in step_cfg:
+        sla_action = step_cfg["sla"].get("action", "assert")
+
+    start = time.time()
+    timeout = start + duration
+    while True:
+
+        LOG.debug("runner=%(runner)s seq=%(sequence)s START",
+                  {"runner": runner_cfg["runner_id"], "sequence": sequence})
+
+        data = {}
+        errors = ""
+
+        try:
+            result = method(data)
+        except AssertionError as assertion:
+            # SLA validation failed in scenario, determine what to do now
+            if sla_action == "assert":
+                raise
+            elif sla_action == "monitor":
+                LOG.warning("SLA validation failed: %s", assertion.args)
+                errors = assertion.args
+        # catch all exceptions because with multiprocessing we can have un-picklable exception
+        # problems  https://bugs.python.org/issue9400
+        except Exception:
+            errors = traceback.format_exc()
+            LOG.exception("")
+        else:
+            if result:
+                # add timeout for put so we don't block test
+                # if we do timeout we don't care about dropping individual KPIs
+                output_queue.put(result, True, QUEUE_PUT_TIMEOUT)
+
+        time.sleep(interval)
+
+        step_output = {
+            'timestamp': time.time(),
+            'sequence': sequence,
+            'data': data,
+            'errors': errors
+        }
+
+        queue.put(step_output, True, QUEUE_PUT_TIMEOUT)
+
+        LOG.debug("runner=%(runner)s seq=%(sequence)s END",
+                  {"runner": runner_cfg["runner_id"], "sequence": sequence})
+
+        sequence += 1
+
+        if (errors and sla_action is None) or time.time() > timeout or aborted.is_set():
+            LOG.info("Worker END")
+            break
+
+    try:
+        step.teardown()
+    except Exception:
+        # catch any exception in teardown and convert to simple exception
+        # never pass exceptions back to multiprocessing, because some exceptions can
+        # be unpicklable
+        # https://bugs.python.org/issue9400
+        LOG.exception("")
+        raise SystemExit(1)
+
+    LOG.debug("queue.qsize() = %s", queue.qsize())
+    LOG.debug("output_queue.qsize() = %s", output_queue.qsize())
+
+
+class DurationRunner(base.Runner):
+    """Run a scenario for a certain amount of time
+
+If the scenario ends before the time has elapsed, it will be started again.
+
+  Parameters
+    duration - amount of time the scenario will be run for
+        type:    int
+        unit:    seconds
+        default: 1 sec
+    interval - time to wait between each scenario invocation
+        type:    int
+        unit:    seconds
+        default: 1 sec
+    """
+    __execution_type__ = 'Duration'
+
+    def _run_step(self, cls, method, step_cfg, context_cfg):
+        name = "{}-{}-{}".format(self.__execution_type__, step_cfg.get("type"), os.getpid())
+        self.process = multiprocessing.Process(
+            name=name,
+            target=_worker_process,
+            args=(self.result_queue, cls, method, step_cfg,
+                  context_cfg, self.aborted, self.output_queue))
+        self.process.start()
diff --git a/vnftest/onap/runners/dynamictp.py b/vnftest/onap/runners/dynamictp.py
new file mode 100755
index 0000000..5ea0910
--- /dev/null
+++ b/vnftest/onap/runners/dynamictp.py
@@ -0,0 +1,179 @@
+##############################################################################
+# Copyright 2018 EuropeanSoftwareMarketingLtd.
+# ===================================================================
+#  Licensed under the ApacheLicense, Version2.0 (the"License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#  http://www.apache.org/licenses/LICENSE-2.0
+#
+# software distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and limitations under
+# the License
+##############################################################################
+# vnftest comment: this is a modified copy of
+# rally/rally/step/runners/dynamictp.py
+
+"""A runner that searches for the max throughput with binary search
+"""
+
+import logging
+import multiprocessing
+import time
+import traceback
+
+import os
+
+from vnftest.onap.runners import base
+
+LOG = logging.getLogger(__name__)
+
+
+def _worker_process(queue, cls, method_name, step_cfg,
+                    context_cfg, aborted):  # pragma: no cover
+
+    runner_cfg = step_cfg['runner']
+    iterations = runner_cfg.get("iterations", 1)
+    interval = runner_cfg.get("interval", 1)
+    run_step = runner_cfg.get("run_step", "setup,run,teardown")
+    delta = runner_cfg.get("delta", 1000)
+    options_cfg = step_cfg['options']
+    initial_rate = options_cfg.get("pps", 1000000)
+    LOG.info("worker START, class %s", cls)
+
+    runner_cfg['runner_id'] = os.getpid()
+
+    step = cls(step_cfg, context_cfg)
+    if "setup" in run_step:
+        step.setup()
+
+    method = getattr(step, method_name)
+
+    queue.put({'runner_id': runner_cfg['runner_id'],
+               'step_cfg': step_cfg,
+               'context_cfg': context_cfg})
+
+    if "run" in run_step:
+        iterator = 0
+        search_max = initial_rate
+        search_min = 0
+        while iterator < iterations:
+            search_min = int(search_min / 2)
+            step_cfg['options']['pps'] = search_max
+            search_max_found = False
+            max_throuput_found = False
+            sequence = 0
+
+            last_min_data = {'packets_per_second': 0}
+
+            while True:
+                sequence += 1
+
+                data = {}
+                errors = ""
+                too_high = False
+
+                LOG.debug("sequence: %s search_min: %s search_max: %s",
+                          sequence, search_min, search_max)
+
+                try:
+                    method(data)
+                except AssertionError as assertion:
+                    LOG.warning("SLA validation failed: %s" % assertion.args)
+                    too_high = True
+                except Exception as e:
+                    errors = traceback.format_exc()
+                    LOG.exception(e)
+
+                actual_pps = data['packets_per_second']
+
+                if too_high:
+                    search_max = actual_pps
+
+                    if not search_max_found:
+                        search_max_found = True
+                else:
+                    last_min_data = data
+                    search_min = actual_pps
+
+                    # Check if the actual rate is well below the asked rate
+                    if step_cfg['options']['pps'] > actual_pps * 1.5:
+                        search_max = actual_pps
+                        LOG.debug("Sender reached max tput: %s", search_max)
+                    elif not search_max_found:
+                        search_max = int(actual_pps * 1.5)
+
+                if ((search_max - search_min) < delta) or \
+                   (search_max <= search_min) or (10 <= sequence):
+                    if last_min_data['packets_per_second'] > 0:
+                        data = last_min_data
+
+                    step_output = {
+                        'timestamp': time.time(),
+                        'sequence': sequence,
+                        'data': data,
+                        'errors': errors
+                    }
+
+                    record = {
+                        'runner_id': runner_cfg['runner_id'],
+                        'step': step_output
+                    }
+
+                    queue.put(record)
+                    max_throuput_found = True
+
+                if errors or aborted.is_set() or max_throuput_found:
+                    LOG.info("worker END")
+                    break
+
+                if not search_max_found:
+                    step_cfg['options']['pps'] = search_max
+                else:
+                    step_cfg['options']['pps'] = \
+                        (search_max - search_min) / 2 + search_min
+
+                time.sleep(interval)
+
+            iterator += 1
+            LOG.debug("iterator: %s iterations: %s", iterator, iterations)
+
+    if "teardown" in run_step:
+        try:
+            step.teardown()
+        except Exception:
+            # catch any exception in teardown and convert to simple exception
+            # never pass exceptions back to multiprocessing, because some exceptions can
+            # be unpicklable
+            # https://bugs.python.org/issue9400
+            LOG.exception("")
+            raise SystemExit(1)
+
+    LOG.debug("queue.qsize() = %s", queue.qsize())
+
+
+class IterationRunner(base.Runner):
+    """Run a step to find the max throughput
+
+If the step ends before the time has elapsed, it will be started again.
+
+  Parameters
+    interval - time to wait between each step invocation
+        type:    int
+        unit:    seconds
+        default: 1 sec
+    delta - stop condition for the search.
+        type:	 int
+        unit:	 pps
+        default: 1000 pps
+    """
+    __execution_type__ = 'Dynamictp'
+
+    def _run_step(self, cls, method, step_cfg, context_cfg):
+        name = "{}-{}-{}".format(self.__execution_type__, step_cfg.get("type"), os.getpid())
+        self.process = multiprocessing.Process(
+            name=name,
+            target=_worker_process,
+            args=(self.result_queue, cls, method, step_cfg,
+                  context_cfg, self.aborted))
+        self.process.start()
diff --git a/vnftest/onap/runners/iteration.py b/vnftest/onap/runners/iteration.py
new file mode 100644
index 0000000..9bac92e
--- /dev/null
+++ b/vnftest/onap/runners/iteration.py
@@ -0,0 +1,160 @@
+##############################################################################
+# Copyright 2018 EuropeanSoftwareMarketingLtd.
+# ===================================================================
+#  Licensed under the ApacheLicense, Version2.0 (the"License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#  http://www.apache.org/licenses/LICENSE-2.0
+#
+# software distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and limitations under
+# the License
+##############################################################################
+# vnftest comment: this is a modified copy of
+# rally/rally/benchmark/runners/iteration.py
+
+"""A runner that runs a configurable number of times before it returns
+"""
+
+from __future__ import absolute_import
+
+import logging
+import multiprocessing
+import time
+import traceback
+
+import os
+
+from vnftest.onap.runners import base
+
+LOG = logging.getLogger(__name__)
+
+
+QUEUE_PUT_TIMEOUT = 10
+
+
+def _worker_process(queue, cls, method_name, step_cfg,
+                    context_cfg, aborted, output_queue):
+
+    sequence = 1
+
+    runner_cfg = step_cfg['runner']
+
+    interval = runner_cfg.get("interval", 1)
+    iterations = runner_cfg.get("iterations", 1)
+    run_step = runner_cfg.get("run_step", "setup,run,teardown")
+
+    delta = runner_cfg.get("delta", 2)
+    LOG.info("worker START, iterations %d times, class %s", iterations, cls)
+
+    runner_cfg['runner_id'] = os.getpid()
+
+    step = cls(step_cfg, context_cfg)
+    if "setup" in run_step:
+        step.setup()
+
+    method = getattr(step, method_name)
+
+    sla_action = None
+    if "sla" in step_cfg:
+        sla_action = step_cfg["sla"].get("action", "assert")
+    if "run" in run_step:
+        while True:
+
+            LOG.debug("runner=%(runner)s seq=%(sequence)s START",
+                      {"runner": runner_cfg["runner_id"],
+                       "sequence": sequence})
+
+            data = {}
+            errors = ""
+
+            try:
+                result = method(data)
+            except AssertionError as assertion:
+                # SLA validation failed in step, determine what to do now
+                if sla_action == "assert":
+                    raise
+                elif sla_action == "monitor":
+                    LOG.warning("SLA validation failed: %s", assertion.args)
+                    errors = assertion.args
+                elif sla_action == "rate-control":
+                    try:
+                        step_cfg['options']['rate']
+                    except KeyError:
+                        step_cfg.setdefault('options', {})
+                        step_cfg['options']['rate'] = 100
+
+                    step_cfg['options']['rate'] -= delta
+                    sequence = 1
+                    continue
+            except Exception:
+                errors = traceback.format_exc()
+                LOG.exception("")
+            else:
+                if result:
+                    # add timeout for put so we don't block test
+                    # if we do timeout we don't care about dropping individual KPIs
+                    output_queue.put(result, True, QUEUE_PUT_TIMEOUT)
+
+            time.sleep(interval)
+
+            step_output = {
+                'timestamp': time.time(),
+                'sequence': sequence,
+                'data': data,
+                'errors': errors
+            }
+
+            queue.put(step_output, True, QUEUE_PUT_TIMEOUT)
+
+            LOG.debug("runner=%(runner)s seq=%(sequence)s END",
+                      {"runner": runner_cfg["runner_id"],
+                       "sequence": sequence})
+
+            sequence += 1
+
+            if (errors and sla_action is None) or \
+                    (sequence > iterations or aborted.is_set()):
+                LOG.info("worker END")
+                break
+    if "teardown" in run_step:
+        try:
+            step.teardown()
+        except Exception:
+            # catch any exception in teardown and convert to simple exception
+            # never pass exceptions back to multiprocessing, because some exceptions can
+            # be unpicklable
+            # https://bugs.python.org/issue9400
+            LOG.exception("")
+            raise SystemExit(1)
+
+    LOG.debug("queue.qsize() = %s", queue.qsize())
+    LOG.debug("output_queue.qsize() = %s", output_queue.qsize())
+
+
+class IterationRunner(base.Runner):
+    """Run a step for a configurable number of times
+
+If the step ends before the time has elapsed, it will be started again.
+
+  Parameters
+    iterations - amount of times the step will be run for
+        type:    int
+        unit:    na
+        default: 1
+    interval - time to wait between each step invocation
+        type:    int
+        unit:    seconds
+        default: 1 sec
+    """
+    __execution_type__ = 'Iteration'
+
+    def _run_step(self, cls, method, step_cfg, context_cfg):
+        name = "{}-{}-{}".format(self.__execution_type__, step_cfg.get("type"), os.getpid())
+        self.process = multiprocessing.Process(
+            name=name,
+            target=_worker_process,
+            args=(self.result_queue, cls, method, step_cfg,
+                  context_cfg, self.aborted, self.output_queue))
+        self.process.start()
diff --git a/vnftest/onap/runners/search.py b/vnftest/onap/runners/search.py
new file mode 100644
index 0000000..d5bd417
--- /dev/null
+++ b/vnftest/onap/runners/search.py
@@ -0,0 +1,180 @@
+##############################################################################
+# Copyright 2018 EuropeanSoftwareMarketingLtd.
+# ===================================================================
+#  Licensed under the ApacheLicense, Version2.0 (the"License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#  http://www.apache.org/licenses/LICENSE-2.0
+#
+# software distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and limitations under
+# the License
+##############################################################################
+# vnftest comment: this is a modified copy of
+# rally/rally/benchmark/runners/search.py
+
+"""A runner that runs a specific time before it returns
+"""
+
+from __future__ import absolute_import
+
+import logging
+import multiprocessing
+import time
+import traceback
+from contextlib import contextmanager
+from itertools import takewhile
+
+import os
+from collections import Mapping
+from six.moves import zip
+
+from vnftest.onap.runners import base
+
+LOG = logging.getLogger(__name__)
+
+
+class SearchRunnerHelper(object):
+
+    def __init__(self, cls, method_name, step_cfg, context_cfg, aborted):
+        super(SearchRunnerHelper, self).__init__()
+        self.cls = cls
+        self.method_name = method_name
+        self.step_cfg = step_cfg
+        self.context_cfg = context_cfg
+        self.aborted = aborted
+        self.runner_cfg = step_cfg['runner']
+        self.run_step = self.runner_cfg.get("run_step", "setup,run,teardown")
+        self.timeout = self.runner_cfg.get("timeout", 60)
+        self.interval = self.runner_cfg.get("interval", 1)
+        self.step = None
+        self.method = None
+
+    def __call__(self, *args, **kwargs):
+        if self.method is None:
+            raise RuntimeError
+        return self.method(*args, **kwargs)
+
+    @contextmanager
+    def get_step_instance(self):
+        self.step = self.cls(self.step_cfg, self.context_cfg)
+
+        if 'setup' in self.run_step:
+            self.step.setup()
+
+        self.method = getattr(self.step, self.method_name)
+        LOG.info("worker START, timeout %d sec, class %s", self.timeout, self.cls)
+        try:
+            yield self
+        finally:
+            if 'teardown' in self.run_step:
+                self.step.teardown()
+
+    def is_not_done(self):
+        if 'run' not in self.run_step:
+            raise StopIteration
+
+        max_time = time.time() + self.timeout
+
+        abort_iter = iter(self.aborted.is_set, True)
+        time_iter = takewhile(lambda t_now: t_now <= max_time, iter(time.time, -1))
+
+        for seq, _ in enumerate(zip(abort_iter, time_iter), 1):
+            yield seq
+            time.sleep(self.interval)
+
+
+class SearchRunner(base.Runner):
+    """Run a step for a certain amount of time
+
+If the step ends before the time has elapsed, it will be started again.
+
+  Parameters
+    timeout - amount of time the step will be run for
+        type:    int
+        unit:    seconds
+        default: 1 sec
+    interval - time to wait between each step invocation
+        type:    int
+        unit:    seconds
+        default: 1 sec
+    """
+    __execution_type__ = 'Search'
+
+    def __init__(self, config):
+        super(SearchRunner, self).__init__(config)
+        self.runner_cfg = None
+        self.runner_id = None
+        self.sla_action = None
+        self.worker_helper = None
+
+    def _worker_run_once(self, sequence):
+        LOG.debug("runner=%s seq=%s START", self.runner_id, sequence)
+
+        data = {}
+        errors = ""
+
+        try:
+            self.worker_helper(data)
+        except AssertionError as assertion:
+            # SLA validation failed in step, determine what to do now
+            if self.sla_action == "assert":
+                raise
+            elif self.sla_action == "monitor":
+                LOG.warning("SLA validation failed: %s", assertion.args)
+                errors = assertion.args
+        except Exception as e:
+            errors = traceback.format_exc()
+            LOG.exception(e)
+
+        record = {
+            'runner_id': self.runner_id,
+            'step': {
+                'timestamp': time.time(),
+                'sequence': sequence,
+                'data': data,
+                'errors': errors,
+            },
+        }
+
+        self.result_queue.put(record)
+
+        LOG.debug("runner=%s seq=%s END", self.runner_id, sequence)
+
+        # Have to search through all the VNF KPIs
+        kpi_done = any(kpi.get('done') for kpi in data.values() if isinstance(kpi, Mapping))
+
+        return kpi_done or (errors and self.sla_action is None)
+
+    def _worker_run(self, cls, method_name, step_cfg, context_cfg):
+        self.runner_cfg = step_cfg['runner']
+        self.runner_id = self.runner_cfg['runner_id'] = os.getpid()
+
+        self.worker_helper = SearchRunnerHelper(cls, method_name, step_cfg,
+                                                context_cfg, self.aborted)
+
+        try:
+            self.sla_action = step_cfg['sla'].get('action', 'assert')
+        except KeyError:
+            self.sla_action = None
+
+        self.result_queue.put({
+            'runner_id': self.runner_id,
+            'step_cfg': step_cfg,
+            'context_cfg': context_cfg
+        })
+
+        with self.worker_helper.get_step_instance():
+            for sequence in self.worker_helper.is_not_done():
+                if self._worker_run_once(sequence):
+                    LOG.info("worker END")
+                    break
+
+    def _run_step(self, cls, method, step_cfg, context_cfg):
+        name = "{}-{}-{}".format(self.__execution_type__, step_cfg.get("type"), os.getpid())
+        self.process = multiprocessing.Process(
+            name=name,
+            target=self._worker_run,
+            args=(cls, method, step_cfg, context_cfg))
+        self.process.start()
diff --git a/vnftest/onap/runners/sequence.py b/vnftest/onap/runners/sequence.py
new file mode 100644
index 0000000..b341495
--- /dev/null
+++ b/vnftest/onap/runners/sequence.py
@@ -0,0 +1,149 @@
+##############################################################################
+# Copyright 2018 EuropeanSoftwareMarketingLtd.
+# ===================================================================
+#  Licensed under the ApacheLicense, Version2.0 (the"License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#  http://www.apache.org/licenses/LICENSE-2.0
+#
+# software distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and limitations under
+# the License
+##############################################################################
+# vnftest comment: this is a modified copy of
+# rally/rally/benchmark/runners/sequence.py
+
+"""A runner that every run changes a specified input value to the step.
+The input value in the sequence is specified in a list in the input file.
+"""
+
+from __future__ import absolute_import
+
+import logging
+import multiprocessing
+import time
+import traceback
+
+import os
+
+from vnftest.onap.runners import base
+
+LOG = logging.getLogger(__name__)
+
+
+def _worker_process(queue, cls, method_name, step_cfg,
+                    context_cfg, aborted, output_queue):
+
+    sequence = 1
+
+    runner_cfg = step_cfg['runner']
+
+    interval = runner_cfg.get("interval", 1)
+    arg_name = runner_cfg.get('step_option_name')
+    sequence_values = runner_cfg.get('sequence')
+
+    if 'options' not in step_cfg:
+        step_cfg['options'] = {}
+
+    options = step_cfg['options']
+
+    runner_cfg['runner_id'] = os.getpid()
+
+    LOG.info("worker START, sequence_values(%s, %s), class %s",
+             arg_name, sequence_values, cls)
+
+    step = cls(step_cfg, context_cfg)
+    step.setup()
+    method = getattr(step, method_name)
+
+    sla_action = None
+    if "sla" in step_cfg:
+        sla_action = step_cfg["sla"].get("action", "assert")
+
+    for value in sequence_values:
+        options[arg_name] = value
+
+        LOG.debug("runner=%(runner)s seq=%(sequence)s START",
+                  {"runner": runner_cfg["runner_id"], "sequence": sequence})
+
+        data = {}
+        errors = ""
+
+        try:
+            result = method(data)
+        except AssertionError as assertion:
+            # SLA validation failed in step, determine what to do now
+            if sla_action == "assert":
+                raise
+            elif sla_action == "monitor":
+                LOG.warning("SLA validation failed: %s", assertion.args)
+                errors = assertion.args
+        except Exception as e:
+            errors = traceback.format_exc()
+            LOG.exception(e)
+        else:
+            if result:
+                output_queue.put(result)
+
+        time.sleep(interval)
+
+        step_output = {
+            'timestamp': time.time(),
+            'sequence': sequence,
+            'data': data,
+            'errors': errors
+        }
+
+        queue.put(step_output)
+
+        LOG.debug("runner=%(runner)s seq=%(sequence)s END",
+                  {"runner": runner_cfg["runner_id"], "sequence": sequence})
+
+        sequence += 1
+
+        if (errors and sla_action is None) or aborted.is_set():
+            break
+
+    try:
+        step.teardown()
+    except Exception:
+        # catch any exception in teardown and convert to simple exception
+        # never pass exceptions back to multiprocessing, because some exceptions can
+        # be unpicklable
+        # https://bugs.python.org/issue9400
+        LOG.exception("")
+        raise SystemExit(1)
+    LOG.info("worker END")
+    LOG.debug("queue.qsize() = %s", queue.qsize())
+    LOG.debug("output_queue.qsize() = %s", output_queue.qsize())
+
+
+class SequenceRunner(base.Runner):
+    """Run a step by changing an input value defined in a list
+
+  Parameters
+    interval - time to wait between each step invocation
+        type:    int
+        unit:    seconds
+        default: 1 sec
+    step_option_name - name of the option that is increased each invocation
+        type:    string
+        unit:    na
+        default: none
+    sequence - list of values which are executed in their respective steps
+        type:    [int]
+        unit:    na
+        default: none
+    """
+
+    __execution_type__ = 'Sequence'
+
+    def _run_step(self, cls, method, step_cfg, context_cfg):
+        name = "{}-{}-{}".format(self.__execution_type__, step_cfg.get("type"), os.getpid())
+        self.process = multiprocessing.Process(
+            name=name,
+            target=_worker_process,
+            args=(self.result_queue, cls, method, step_cfg,
+                  context_cfg, self.aborted, self.output_queue))
+        self.process.start()