Add new sequence runner

The "sequence" runner will use an input value of the test for every
run from a pre-defined list from the task file.
Example runner section of the task file:
    type: Sequence
    interval: 1
    scenario_option_name: packetsize
    sequence:
    - 100
    - 150
    - 200

JIRA: YARDSTICK-47

Change-Id: I5bde9b78cb356499c338ef3da26ac1783670887d
Signed-off-by: Kristian Hunt <kristian.hunt@gmail.com>

1 files changed, 124 insertions, 0 deletions

diff --git a/yardstick/benchmark/runners/sequence.py b/yardstick/benchmark/runners/sequence.py
new file mode 100644
index 000000000..52bb69abf
--- /dev/null
+++ b/yardstick/benchmark/runners/sequence.py
@@ -0,0 +1,124 @@
+##############################################################################
+# Copyright (c) 2015 Ericsson AB and others.
+#
+# All rights reserved. This program and the accompanying materials
+# are made available under the terms of the Apache License, Version 2.0
+# which accompanies this distribution, and is available at
+# http://www.apache.org/licenses/LICENSE-2.0
+##############################################################################
+
+'''A runner that every run changes a specified input value to the scenario.
+The input value in the sequence is specified in a list in the input file.
+'''
+
+import os
+import multiprocessing
+import logging
+import traceback
+import time
+
+from yardstick.benchmark.runners import base
+
+LOG = logging.getLogger(__name__)
+
+
+def _worker_process(queue, cls, method_name, context, scenario_args):
+
+    sequence = 1
+
+    interval = context.get("interval", 1)
+    arg_name = context.get('scenario_option_name')
+    sequence_values = context.get('sequence')
+
+    if 'options' not in scenario_args:
+        scenario_args['options'] = {}
+
+    options = scenario_args['options']
+
+    context['runner'] = os.getpid()
+
+    LOG.info("worker START, sequence_values(%s, %s), class %s",
+             arg_name, sequence_values, cls)
+
+    benchmark = cls(context)
+    benchmark.setup()
+    method = getattr(benchmark, method_name)
+
+    record_context = {"runner": context["runner"],
+                      "host": context["host"]}
+
+    sla_action = None
+    if "sla" in scenario_args:
+        sla_action = scenario_args["sla"].get("action", "assert")
+
+    for value in sequence_values:
+        options[arg_name] = value
+
+        LOG.debug("runner=%(runner)s seq=%(sequence)s START" %
+                  {"runner": context["runner"], "sequence": sequence})
+
+        data = {}
+        errors = ""
+
+        try:
+            data = method(scenario_args)
+        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
+        except Exception as e:
+            errors = traceback.format_exc()
+            LOG.exception(e)
+
+        time.sleep(interval)
+
+        benchmark_output = {
+            'timestamp': time.time(),
+            'sequence': sequence,
+            'data': data,
+            'errors': errors
+        }
+
+        queue.put({'context': record_context, 'sargs:': scenario_args,
+                   'benchmark': benchmark_output})
+
+        LOG.debug("runner=%(runner)s seq=%(sequence)s END" %
+                  {"runner": context["runner"], "sequence": sequence})
+
+        sequence += 1
+
+        if errors:
+            break
+
+    benchmark.teardown()
+    LOG.info("worker END")
+
+
+class SequenceRunner(base.Runner):
+    '''Run a scenario by changing an input value defined in a list
+
+  Parameters
+    interval - time to wait between each scenario invocation
+        type:    int
+        unit:    seconds
+        default: 1 sec
+    scenario_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 scenarios
+        type:    [int]
+        unit:    na
+        default: none
+    '''
+
+    __execution_type__ = 'Sequence'
+
+    def _run_benchmark(self, cls, method, scenario_args):
+        self.process = multiprocessing.Process(
+            target=_worker_process,
+            args=(self.result_queue, cls, method, self.config, scenario_args))
+        self.process.start()