# Copyright 2014: Mirantis Inc.
# All Rights Reserved.
#
#    Licensed under the Apache License, Version 2.0 (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
#
#    Unless required by applicable law or agreed to in writing, 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.

import collections
import json
from unittest import mock

import ddt

from rally.task.processing import plot
from tests.unit import test


PLOT = "rally.task.processing.plot."


@ddt.ddt
class PlotTestCase(test.TestCase):

    @mock.patch(PLOT + "charts")
    def test__process_workload(self, mock_charts):
        for mock_ins, ret in [
                (mock_charts.MainStatsTable, "main_stats"),
                (mock_charts.MainStackedAreaChart, "main_stacked"),
                (mock_charts.AtomicStackedAreaChart, "atomic_stacked"),
                (mock_charts.OutputStackedAreaDeprecatedChart,
                 "output_stacked"),
                (mock_charts.LoadProfileChart, "load_profile"),
                (mock_charts.MainHistogramChart, "main_histogram"),
                (mock_charts.AtomicHistogramChart, "atomic_histogram"),
                (mock_charts.AtomicAvgChart, "atomic_avg")]:
            setattr(mock_ins.return_value.render, "return_value", ret)
        iterations = [
            {"timestamp": i + 2, "error": [],
             "duration": i + 5, "idle_duration": i,
             "output": {"additive": [], "complete": []},
             "atomic_actions": {"foo_action": i + 10}} for i in range(10)]
        workload = {
            "data": iterations,
            "sla_results": {"sla": {}}, "pass_sla": True,
            "position": 0,
            "name": "Foo.bar", "description": "Description!!",
            "runner_type": "constant",
            "runner": {},
            "statistics": {"atomics": {
                "foo_action": {"max_duration": 19, "min_duration": 10}}},
            "full_duration": 40, "load_duration": 32,
            "total_iteration_count": 10,
            "max_duration": 14, "min_duration": 5,
            "start_time": 2,
            "created_at": "xxx_time",
            "hooks": []}

        result = plot._process_workload(
            workload, "!!!CONF!!!", 1)
        self.assertEqual(
            {"cls": "Foo", "met": "bar", "pos": "1",
             "name": "bar [2]", "description": "Description!!",
             "runner": "constant", "config": json.dumps("!!!CONF!!!",
                                                        indent=2),
             "created_at": "xxx_time",
             "full_duration": 40, "load_duration": 32, "hooks": [],
             "atomic": {"histogram": "atomic_histogram",
                        "iter": "atomic_stacked", "pie": "atomic_avg"},
             "iterations": {"histogram": "main_histogram",
                            "iter": "main_stacked",
                            "pie": [("success", 10), ("errors", 0)]},
             "iterations_count": 10, "errors": [],
             "load_profile": "load_profile",
             "additive_output": [],
             "complete_output": [[], [], [], [], [], [], [], [], [], []],
             "has_output": False,
             "output_errors": [],
             "sla": {}, "sla_success": True, "table": "main_stats"},
            result)

    @ddt.data(
        {"hooks": [], "expected": []},
        {"hooks": [
            {
                "config": {
                    "description": "Foo",
                    "action": ("sys_call", "foo cmd"),
                    "trigger": ("event", {"at": [2, 5], "unit": "iteration"})},
                "results": [
                    {
                        "status": "success",
                        "started_at": 1475589987.433399,
                        "finished_at": 1475589987.525735,
                        "triggered_by": {"event_type": "iteration",
                                         "value": 2},
                        "output": {
                            "additive": [
                                {"chart_plugin": "StatsTable",
                                 "title": "Foo table",
                                 "data": [["A", 158], ["B", 177]]}],
                            "complete": []}},
                    {
                        "status": "success",
                        "started_at": 1475589993.432734,
                        "finished_at": 1475589993.457818,
                        "triggered_by": {"event_type": "iteration",
                                         "value": 5},
                        "output": {
                            "additive": [
                                {"chart_plugin": "StatsTable",
                                 "title": "Foo table",
                                 "data": [["A", 243], ["B", 179]]}],
                            "complete": []}}],
                "summary": {"success": 2}},
            {
                "config": {
                    "action": ("sys_call", "bar cmd"),
                    "trigger": ("event", {"at": [1, 2, 4], "unit": "time"})},
                "results": [
                    {
                        "status": "success",
                        "started_at": 1475589988.434244,
                        "finished_at": 1475589988.437791,
                        "triggered_by": {"event_type": "time", "value": 1},
                        "output": {
                            "additive": [],
                            "complete": [
                                {"chart_plugin": "Pie",
                                 "title": "Bar Pie",
                                 "data": [["F", 4], ["G", 2]]}]}},
                    {
                        "status": "success",
                        "started_at": 1475589989.433964,
                        "finished_at": 1475589989.437589,
                        "triggered_by": {"event_type": "time", "value": 2},
                        "output": {
                            "additive": [],
                            "complete": [
                                {"chart_plugin": "Pie",
                                 "title": "Bar Pie",
                                 "data": [["F", 42], ["G", 24]]}]}}],
                "summary": {"success": 2}}],
         "expected": [
             {"additive": [
                 {"data": {"cols": ["Action", "Min (sec)", "Median (sec)",
                                    "90%ile (sec)", "95%ile (sec)",
                                    "Max (sec)", "Avg (sec)", "Count"],
                           "rows": [["A", 158.0, 200.5, 234.5, 238.75, 243.0,
                                     200.5, 2],
                                    ["B", 177.0, 178.0, 178.8, 178.9, 179.0,
                                     178.0, 2]],
                           "styles": {1: "rich"}},
                  "axis_label": "", "description": "", "label": "",
                  "title": "Foo table", "widget": "Table"}],
              "complete": [], "desc": "Foo", "name": "sys_call"},
             {"additive": [],
              "complete": [
                  {"charts": [{"data": [["F", 4], ["G", 2]],
                               "title": "Bar Pie", "widget": "Pie"}],
                   "finished_at": "2016-10-04 14:06:28",
                   "started_at": "2016-10-04 14:06:28",
                   "status": "success",
                   "triggered_by": "time: 1"},
                  {"charts": [{"data": [["F", 42], ["G", 24]],
                               "title": "Bar Pie", "widget": "Pie"}],
                   "finished_at": "2016-10-04 14:06:29",
                   "started_at": "2016-10-04 14:06:29",
                   "status": "success",
                   "triggered_by": "time: 2"}],
              "desc": "",
              "name": "sys_call"}]})
    @ddt.unpack
    def test__process_hooks(self, hooks, expected):
        self.assertEqual(expected, plot._process_hooks(hooks))

    @mock.patch(PLOT + "_process_workload")
    def test__process_workloads(self, mock__process_workload):
        workloads = [{"id": i, "uuid": "uuid-%s" % i, "task_uuid": "task-uuid",
                      "subtask_uuid": "subtask-uuid",
                      "name": "Foo.bar_%s" % i,
                      "description": "Make something useful (or not).",
                      "position": i,
                      "runner_type": "constant",
                      "runner": {"times": 3},
                      "contexts": {"users": {}},
                      "sla": {"failure_rate": {"max": 0}},
                      "args": {"key1": "value1"},
                      "hooks": [{"config": {
                          "action": ("foo", {}),
                          "trigger": ("xxx", {})}}],
                      "sla_results": {"sla": []},
                      "start_time": "2997.23.12",
                      "load_duration": 42,
                      "full_duration": 37,
                      "min_duration": 1, "max_duration": 2,
                      "total_iteration_count": 7, "failed_iteration_count": 2,
                      "pass_sla": True} for i in (1, 2, 3, 1)]
        mock__process_workload.side_effect = lambda a, b, c: (
            {"cls": "%s_cls" % a["name"],
             "name": str(c),
             "met": "dummy",
             "pos": str(c)})
        p_workloads = plot._process_workloads(workloads)
        self.assertEqual([
            {"cls": "Foo.bar_1_cls", "met": "dummy", "name": "0", "pos": "0"},
            {"cls": "Foo.bar_1_cls", "met": "dummy", "name": "1", "pos": "1"},
            {"cls": "Foo.bar_2_cls", "met": "dummy", "name": "0", "pos": "0"},
            {"cls": "Foo.bar_3_cls", "met": "dummy", "name": "0", "pos": "0"}],
            p_workloads)

    def test__make_source(self):
        tasks = [{"title": "task title",
                  "uuid": "task1",
                  "description": "task description",
                  "subtasks": [
                      {"title": "subtask title",
                       "description": "subtask description",
                       "workloads": [
                           {"name": "workload1.1",
                            "uuid": "w1.1",
                            "description": "Be or not to be",
                            "args": {},
                            "contexts": {"key": "context"},
                            "sla": {"key": "sla"},
                            "runner_type": "crunner",
                            "runner": {},
                            "hooks": []}
                       ]}
                  ]}]
        esource = json.dumps(collections.OrderedDict([
            ("version", 2),
            ("title", "task title"),
            ("description", "task description"),
            ("subtasks",
             [collections.OrderedDict([
                 ("title", "subtask title"),
                 ("description", "subtask description"),
                 ("workloads", [
                     collections.OrderedDict(
                         [("scenario", {"workload1.1": {}}),
                          ("description", "Be or not to be"),
                          ("contexts", {"key": "context"}),
                          ("runner", {"crunner": {}}),
                          ("hooks", []),
                          ("sla", {"key": "sla"})])])])])]),
            indent=2)

        self.assertEqual(esource, plot._make_source(tasks))

        tasks.append({"title": "task title",
                      "uuid": "task2",
                      "description": "task description",
                      "subtasks": [
                          {"title": "subtask title2",
                           "description": "subtask description2",
                           "workloads": [
                               {"name": "workload2.1",
                                "uuid": "w2.1",
                                "description": "Be or not to be",
                                "args": {},
                                "contexts": {"key": "context"},
                                "sla": {"key": "sla"},
                                "runner_type": "crunner",
                                "runner": {},
                                "hooks": []}
                           ]},
                          {"title": "subtask title3",
                           "description": "subtask description3",
                           "workloads": [
                               {"name": "workload2.2",
                                "uuid": "w2.2",
                                "description": "Be or not to be3",
                                "args": {},
                                "contexts": {"key": "context"},
                                "sla": {"key": "sla"},
                                "runner_type": "crunner",
                                "runner": {},
                                "hooks": []}
                           ]}
                      ]})
        esource = json.dumps(collections.OrderedDict([
            ("version", 2),
            ("title", "A combined task."),
            ("description",
             "The task contains subtasks from a multiple number of tasks."),
            ("subtasks",
             [
                 collections.OrderedDict([
                     ("title", "subtask title"),
                     ("description",
                      "subtask description\n[Task UUID: task1]"),
                     ("workloads", [
                         collections.OrderedDict(
                             [("scenario", {"workload1.1": {}}),
                              ("description", "Be or not to be"),
                              ("contexts", {"key": "context"}),
                              ("runner", {"crunner": {}}),
                              ("hooks", []),
                              ("sla", {"key": "sla"})])])]),
                 collections.OrderedDict([
                     ("title", "subtask title2"),
                     ("description",
                      "subtask description2\n[Task UUID: task2]"),
                     ("workloads", [
                         collections.OrderedDict([
                             ("scenario", {"workload2.1": {}}),
                             ("description", "Be or not to be"),
                             ("contexts", {"key": "context"}),
                             ("runner", {"crunner": {}}),
                             ("hooks", []),
                             ("sla", {"key": "sla"})])])]),
                 collections.OrderedDict([
                     ("title", "subtask title3"),
                     ("description",
                      "subtask description3\n[Task UUID: task2]"),
                     ("workloads", [
                         collections.OrderedDict([
                             ("scenario", {"workload2.2": {}}),
                             ("description", "Be or not to be3"),
                             ("contexts", {"key": "context"}),
                             ("runner", {"crunner": {}}),
                             ("hooks", []),
                             ("sla", {"key": "sla"})])])])])]),
            indent=2)

        self.assertEqual(esource, plot._make_source(tasks))

    @ddt.data({},
              {"include_libs": True},
              {"include_libs": False})
    @ddt.unpack
    @mock.patch(PLOT + "_make_source")
    @mock.patch(PLOT + "_process_workloads")
    @mock.patch(PLOT + "ui_utils.get_template")
    @mock.patch("rally.common.version.version_string", return_value="42.0")
    def test_plot(self, mock_version_string, mock_get_template,
                  mock__process_workloads, mock__make_source, **ddt_kwargs):
        task_dict = {"title": "", "description": "",
                     "subtasks": [{"title": "", "description": "",
                                   "workloads": ["foo", "bar"]}]}
        mock__make_source.return_value = "source"
        mock__process_workloads.return_value = "scenarios"
        mock_get_template.return_value.render.return_value = "tasks_html"

        html = plot.plot([task_dict], **ddt_kwargs)

        self.assertEqual("tasks_html", html)
        mock_get_template.assert_called_once_with("task/report.html")
        mock__process_workloads.assert_called_once_with(["foo", "bar"])
        if "include_libs" in ddt_kwargs:
            mock_get_template.return_value.render.assert_called_once_with(
                version="42.0", data='"scenarios"',
                source='"source"',
                include_libs=ddt_kwargs["include_libs"])
        else:
            mock_get_template.return_value.render.assert_called_once_with(
                version="42.0", data='"scenarios"',
                source='"source"', include_libs=False)

    @mock.patch(PLOT + "objects.Task")
    @mock.patch(PLOT + "Trends")
    @mock.patch(PLOT + "ui_utils.get_template")
    @mock.patch("rally.common.version.version_string", return_value="42.0")
    def test_trends(self, mock_version_string, mock_get_template, mock_trends,
                    mock_task):
        task_dict = {"uuid": "task--uu--iiii-dd",
                     "subtasks": [{"workloads": ["foo", "bar"]}]}

        trends = mock.Mock()
        trends.get_data.return_value = ["foo", "bar"]
        mock_trends.return_value = trends
        template = mock.Mock()
        template.render.return_value = "trends html"
        mock_get_template.return_value = template

        result = plot.trends([task_dict])

        self.assertEqual("trends html", result)
        self.assertEqual(
            [mock.call("task--uu--iiii-dd", "foo"),
             mock.call("task--uu--iiii-dd", "bar")],
            trends.add_result.mock_calls)
        mock_get_template.assert_called_once_with("task/trends.html")
        template.render.assert_called_once_with(version="42.0",
                                                data='["foo", "bar"]',
                                                include_libs=False)


@ddt.ddt
class TrendsTestCase(test.TestCase):

    def test___init__(self):
        trends = plot.Trends()
        self.assertEqual({}, trends._data)
        self.assertRaises(TypeError, plot.Trends, 42)

    @ddt.data({"args": [None], "result": "None"},
              {"args": [""], "result": ""},
              {"args": [" str value "], "result": "str value"},
              {"args": [" 42 "], "result": "42"},
              {"args": ["42"], "result": "42"},
              {"args": [42], "result": "42"},
              {"args": [42.00], "result": "42.0"},
              {"args": [[3.2, 1, " foo ", None]], "result": "1,3.2,None,foo"},
              {"args": [(" def", "abc", [22, 33])], "result": "22,33,abc,def"},
              {"args": [{}], "result": ""},
              {"args": [{1: 2, "a": " b c "}], "result": "1:2|a:b c"},
              {"args": [{"foo": "bar", (1, 2): [5, 4, 3]}],
               "result": "1,2:3,4,5|foo:bar"},
              {"args": [1, 2], "raises": TypeError},
              {"args": [set()], "raises": TypeError})
    @ddt.unpack
    def test__to_str(self, args, result=None, raises=None):
        trends = plot.Trends()
        if raises:
            self.assertRaises(raises, trends._to_str, *args)
        else:
            self.assertEqual(result, trends._to_str(*args))

    @mock.patch(PLOT + "hashlib")
    def test__make_hash(self, mock_hashlib):
        mock_hashlib.md5.return_value.hexdigest.return_value = "md5_digest"
        trends = plot.Trends()
        trends._to_str = mock.Mock()
        trends._to_str.return_value.encode.return_value = "foo_str"

        self.assertEqual("md5_digest", trends._make_hash("foo_obj"))
        trends._to_str.assert_called_once_with("foo_obj")
        trends._to_str.return_value.encode.assert_called_once_with("utf8")
        mock_hashlib.md5.assert_called_once_with("foo_str")

    def _make_result(self, salt, sla_success=True, with_na=False):
        if with_na:
            atomic = {"a": "n/a", "b": "n/a"}
            stats = {
                "atomics": [
                    {"name": "a", "display_name": "a",
                     "data": {"min": "n/a", "median": "n/a",
                              "90%ile": "n/a", "95%ile": "n/a", "max": "n/a",
                              "avg": "n/a", "success": "n/a", "count": 4}},
                    {"name": "b", "display_name": "b",
                     "data": {"min": "n/a", "median": "n/a",
                              "90%ile": "n/a", "95%ile": "n/a", "max": "n/a",
                              "avg": "n/a", "success": "n/a", "count": 4}}
                ],
                "total": {"name": "total", "display_name": "total",
                          "data": {"min": "n/a", "median": "n/a",
                                   "90%ile": "n/a", "95%ile": "n/a",
                                   "max": "n/a", "avg": "n/a",
                                   "success": "n/a", "count": 4}}
            }
        else:
            stats = {
                "atomics": [
                    {"name": "a", "display_name": "a",
                     "data": {"min": 0.7, "median": 0.85, "90%ile": 0.9,
                              "95%ile": 0.87, "max": 1.25, "avg": 0.67,
                              "success": "100.0%", "count": 4}},
                    {"name": "b", "display_name": "b",
                     "data": {"min": 0.5, "median": 0.75, "90%ile": 0.85,
                              "95%ile": 0.9, "max": 1.1, "avg": 0.58,
                              "success": "100.0%", "count": 4}}],
                "total": {"name": "total", "display_name": "total",
                          "data": {"min": 1.2, "median": 1.55,
                                   "90%ile": 1.7, "95%ile": 1.8, "max": 1.5,
                                   "avg": 0.8, "success": "100.0%", "count": 4
                                   }}}
            atomic = {"a": 123, "b": 456}
        return {
            "name": "Scenario.name_%d" % salt,
            "args": {}, "contexts": {}, "runner_type": "foo", "runner": {},
            "hooks": {},
            "pass_sla": sla_success,
            "sla": [{"success": sla_success}],
            "total_iteration_count": 4,
            "start_time": 123456.789 + salt,
            "statistics": {
                "atomics": atomic,
                "durations": stats},
            "data": ["<iter-0>", "<iter-1>", "<iter-2>", "<iter-3>"]}

    def _sort_trends(self, trends_result):
        for idx in range(len(trends_result)):
            trends_result[idx]["durations"].sort()
            for a_idx in range(len(trends_result[idx]["actions"])):
                trends_result[idx]["actions"][a_idx]["durations"].sort()
        return trends_result

    @mock.patch(PLOT + "json.dumps")
    @mock.patch(PLOT + "objects.Workload.to_task")
    def test_add_result_and_get_data(self, mock_workload_to_task, mock_dumps):
        mock_dumps.side_effect = lambda x, **j: x
        workload_cfg = [
            {
                "description": "foo", "name": "Name1",
                "subtasks": [{"description": "descr"}]},
            {
                "description": "foo", "name": "Name2",
                "subtasks": [{"description": "descr"}]}]
        mock_workload_to_task.side_effect = workload_cfg
        trends = plot.Trends()
        for i in 0, 1:
            trends.add_result(
                "task_uuid_%s" % i, self._make_result(i))

        actual = self._sort_trends(trends.get_data())

        workload_cfg[0]["description"] = (
            "Task(s) with the workload: task_uuid_1")
        workload_cfg[1]["description"] = (
            "Task(s) with the workload: task_uuid_2")
        expected = [
            {"actions": [{"durations": [("90%ile", [(123456789, 0.9)]),
                                        ("95%ile", [(123456789, 0.87)]),
                                        ("avg", [(123456789, 0.67)]),
                                        ("max", [(123456789, 1.25)]),
                                        ("median", [(123456789, 0.85)]),
                                        ("min", [(123456789, 0.7)])],
                          "name": "a",
                          "success": [("success", [(123456789, 100.0)])]},
                         {"durations": [("90%ile", [(123456789, 0.85)]),
                                        ("95%ile", [(123456789, 0.9)]),
                                        ("avg", [(123456789, 0.58)]),
                                        ("max", [(123456789, 1.1)]),
                                        ("median", [(123456789, 0.75)]),
                                        ("min", [(123456789, 0.5)])],
                          "name": "b",
                          "success": [("success", [(123456789, 100.0)])]}],
             "cls": "Scenario",
             "config": workload_cfg[0],
             "durations": [("90%ile", [(123456789, 1.7)]),
                           ("95%ile", [(123456789, 1.8)]),
                           ("avg", [(123456789, 0.8)]),
                           ("max", [(123456789, 1.5)]),
                           ("median", [(123456789, 1.55)]),
                           ("min", [(123456789, 1.2)])],
             "length": 1,
             "met": "name_0",
             "name": "Scenario.name_0",
             "sla_failures": 0,
             "stat": {"avg": 1.425, "max": 1.8, "min": 0.8},
             "success": [("success", [(123456789, 100.0)])]},
            {"actions": [{"durations": [("90%ile", [(123457789, 0.9)]),
                                        ("95%ile", [(123457789, 0.87)]),
                                        ("avg", [(123457789, 0.67)]),
                                        ("max", [(123457789, 1.25)]),
                                        ("median", [(123457789, 0.85)]),
                                        ("min", [(123457789, 0.7)])],
                          "name": "a",
                          "success": [("success", [(123457789, 100.0)])]},
                         {"durations": [("90%ile", [(123457789, 0.85)]),
                                        ("95%ile", [(123457789, 0.9)]),
                                        ("avg", [(123457789, 0.58)]),
                                        ("max", [(123457789, 1.1)]),
                                        ("median", [(123457789, 0.75)]),
                                        ("min", [(123457789, 0.5)])],
                          "name": "b",
                          "success": [("success", [(123457789, 100.0)])]}],
             "cls": "Scenario",
             "config": workload_cfg[1],
             "durations": [("90%ile", [(123457789, 1.7)]),
                           ("95%ile", [(123457789, 1.8)]),
                           ("avg", [(123457789, 0.8)]),
                           ("max", [(123457789, 1.5)]),
                           ("median", [(123457789, 1.55)]),
                           ("min", [(123457789, 1.2)])],
             "length": 1,
             "met": "name_1",
             "name": "Scenario.name_1",
             "sla_failures": 0,
             "stat": {"avg": 1.425, "max": 1.8, "min": 0.8},
             "success": [("success", [(123457789, 100.0)])]}]
        self.assertEqual(expected, actual)

    @mock.patch(PLOT + "json.dumps")
    @mock.patch(PLOT + "objects.Workload.to_task")
    def test_add_result_once_and_get_data(self, mock_workload_to_task,
                                          mock_dumps):
        mock_dumps.side_effect = lambda x, **j: x
        workload_cfg = {"description": "foo",
                        "subtasks": [{"description": "descr"}]}
        mock_workload_to_task.return_value = workload_cfg
        trends = plot.Trends()
        trends.add_result(
            "task_uuid",
            self._make_result(42, sla_success=False))

        actual = self._sort_trends(trends.get_data())

        workload_cfg["description"] = "Task(s) with the workload: task_uuid"
        expected = [
            {"actions": [{"durations": [("90%ile", [(123498789, 0.9)]),
                                        ("95%ile", [(123498789, 0.87)]),
                                        ("avg", [(123498789, 0.67)]),
                                        ("max", [(123498789, 1.25)]),
                                        ("median", [(123498789, 0.85)]),
                                        ("min", [(123498789, 0.7)])],
                          "name": "a",
                          "success": [("success", [(123498789, 100.0)])]},
                         {"durations": [("90%ile", [(123498789, 0.85)]),
                                        ("95%ile", [(123498789, 0.9)]),
                                        ("avg", [(123498789, 0.58)]),
                                        ("max", [(123498789, 1.1)]),
                                        ("median", [(123498789, 0.75)]),
                                        ("min", [(123498789, 0.5)])],
                          "name": "b",
                          "success": [("success", [(123498789, 100.0)])]}],
             "cls": "Scenario",
             "config": workload_cfg,
             "durations": [("90%ile", [(123498789, 1.7)]),
                           ("95%ile", [(123498789, 1.8)]),
                           ("avg", [(123498789, 0.8)]),
                           ("max", [(123498789, 1.5)]),
                           ("median", [(123498789, 1.55)]),
                           ("min", [(123498789, 1.2)])],
             "length": 1,
             "met": "name_42",
             "name": "Scenario.name_42",
             "sla_failures": 1,
             "stat": {"avg": 1.425, "max": 1.8, "min": 0.8},
             "success": [("success", [(123498789, 100.0)])]}]
        self.assertEqual(expected, actual)

    @mock.patch(PLOT + "json.dumps")
    @mock.patch(PLOT + "objects.Workload.to_task")
    def test_add_result_with_na_and_get_data(self, mock_workload_to_task,
                                             mock_dumps):
        mock_dumps.side_effect = lambda x, **j: x
        workload_cfg = {"description": "foo",
                        "subtasks": [{"description": "descr"}]}
        mock_workload_to_task.return_value = workload_cfg
        trends = plot.Trends()
        trends.add_result(
            "task_uuid",
            self._make_result(42, sla_success=False, with_na=True))

        actual = self._sort_trends(trends.get_data())

        workload_cfg["description"] = "Task(s) with the workload: task_uuid"
        expected = [
            {"actions": [{"durations": [("90%ile", [(123498789, "n/a")]),
                                        ("95%ile", [(123498789, "n/a")]),
                                        ("avg", [(123498789, "n/a")]),
                                        ("max", [(123498789, "n/a")]),
                                        ("median", [(123498789, "n/a")]),
                                        ("min", [(123498789, "n/a")])],
                          "name": "a",
                          "success": [("success", [(123498789, 0)])]},
                         {"durations": [("90%ile", [(123498789, "n/a")]),
                                        ("95%ile", [(123498789, "n/a")]),
                                        ("avg", [(123498789, "n/a")]),
                                        ("max", [(123498789, "n/a")]),
                                        ("median", [(123498789, "n/a")]),
                                        ("min", [(123498789, "n/a")])],
                          "name": "b",
                          "success": [("success", [(123498789, 0)])]}],
             "cls": "Scenario",
             "config": workload_cfg,
             "durations": [("90%ile", [(123498789, "n/a")]),
                           ("95%ile", [(123498789, "n/a")]),
                           ("avg", [(123498789, "n/a")]),
                           ("max", [(123498789, "n/a")]),
                           ("median", [(123498789, "n/a")]),
                           ("min", [(123498789, "n/a")])],
             "length": 1,
             "met": "name_42",
             "name": "Scenario.name_42",
             "sla_failures": 1,
             "stat": {"avg": None, "max": None, "min": None},
             "success": [("success", [(123498789, 0)])]}]

        self.assertEqual(expected, actual)

    def test_get_data_no_results_added(self):
        trends = plot.Trends()
        self.assertEqual([], trends.get_data())

    def test_obtaining_workload_description(self):
        trends = plot.Trends()
        workload_1 = self._make_result(42)
        workload_1["name"] = "Dummy.dummy"
        workload_1["description"] = "foo!!!"

        trends.add_result("task_uuid", workload_1)
        data = trends.get_data()

        self.assertEqual(1, len(data))
        cfg = json.loads(data[0]["config"])
        self.assertEqual("foo!!!",
                         cfg["subtasks"][0]["description"])

        workload_2 = self._make_result(42)
        workload_2["name"] = "Dummy.dummy"
        workload_2["description"] = "bar!!!"

        trends.add_result("task_uuid", workload_2)
        data = trends.get_data()

        self.assertEqual(1, len(data))
        cfg = json.loads(data[0]["config"])
        self.assertEqual("Do nothing and sleep for the given number of "
                         "seconds (0 by default).",
                         cfg["subtasks"][0]["description"])
