コード例 #1
0
def update_output(environment_group_count, environments_per_group, upgrade_failure_percentage, maintenance_window, recalc_counter):
    return generate_upgrade_steps(
        environment_groups=[
            upgrade_cycle.EnvironmentGroup(f'Group {i + 1}', [
                upgrade_cycle.Environment(f'Cluster {(i) * environments_per_group + (j + 1)}') for j in range(environments_per_group)
            ]) for i in range(environment_group_count)
        ],
        upgrade_failure_percentage=upgrade_failure_percentage / 100,
        maintenance_window=maintenance_window
    )
コード例 #2
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def test_multi_group_and_cluster_should_contain_all_the_steps():

    steps = upgrade_cycle.compute_next_upgrade_cycle(
        start_date=datetime.fromisoformat('2020-01-01'),
        environment_groups=[
            upgrade_cycle.EnvironmentGroup('Group 1', [
                upgrade_cycle.Environment('Cluster 1'),
                upgrade_cycle.Environment('Cluster 2'),
            ]),
            upgrade_cycle.EnvironmentGroup('Group 2', [
                upgrade_cycle.Environment('Cluster 3'),
                upgrade_cycle.Environment('Cluster 4'),
            ]),
        ])
    # print("\n",steps)

    assert_frame_equal(
        steps.reset_index(drop=True),
        parse_steps('''
phase                   step      start_date  finish_date
Global                  ignoring  2020-01-01  2020-01-15
Global                  planning  2020-01-15  2020-01-16
Global                  pre-work  2020-01-16  2020-01-17
"Group 1: Cluster 1"     waiting  2020-01-17  2020-01-18
"Group 1: Cluster 1"   upgrading  2020-01-18  2020-01-19
"Group 1: Cluster 1"  recovering  2020-01-19  2020-01-21
"Group 1: Cluster 2"     waiting  2020-01-17  2020-01-18
"Group 1: Cluster 2"   upgrading  2020-01-18  2020-01-19
"Group 1: Cluster 2"  recovering  2020-01-19  2020-01-21
"Group 2: Cluster 3"     waiting  2020-01-21  2020-01-25
"Group 2: Cluster 3"   upgrading  2020-01-25  2020-01-26
"Group 2: Cluster 3"  recovering  2020-01-26  2020-01-28
"Group 2: Cluster 4"     waiting  2020-01-21  2020-01-25
"Group 2: Cluster 4"   upgrading  2020-01-25  2020-01-26
"Group 2: Cluster 4"  recovering  2020-01-26  2020-01-28
''').reset_index(drop=True))
コード例 #3
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def test_chance_of_upgrade_failure():

    steps = upgrade_cycle.compute_next_upgrade_cycle(
        start_date=datetime.fromisoformat('2020-01-01'),
        environment_groups=[
            upgrade_cycle.EnvironmentGroup('Group 1', [
                upgrade_cycle.Environment(f'Cluster {i+1}') for i in range(10)
            ])
        ],
        upgrade_failure_percentage=0.3)
    steps['step_length'] = steps.finish_date - steps.start_date

    recover_steps = steps[steps.step == 'recovering']
    # print("\n",recover_steps)

    assert len(recover_steps[recover_steps.step_length != '0 days']) == 3
コード例 #4
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def update_output_with_support_escalator(environment_group_count, environments_per_group, upgrade_failure_percentage, maintenance_window,
                                         start_version, target_version, recalc_counter):
    if 'recalc-button-with-support-escalator' not in [p['prop_id'] for p in dash.callback_context.triggered][0]:
        raise PreventUpdate

    return generate_upgrade_steps_with_support_elevator(
        start_date=datetime.fromisoformat('2020-03-01'),
        start_version=start_version,
        target_version=target_version,
        environment_groups=[
            upgrade_cycle.EnvironmentGroup(f'Group {i + 1}', [
                upgrade_cycle.Environment(f'Cluster {(i) * environments_per_group + (j + 1)}') for j in range(environments_per_group)
            ]) for i in range(environment_group_count)
        ],
        upgrade_failure_percentage=upgrade_failure_percentage / 100,
        maintenance_window=maintenance_window
    )
コード例 #5
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        For each group of clusters the following steps are performed:
        * "waiting" for the next available maintenance window.  For organisations where upgrades are only done over the weekend; this would be the the number of days until the next weekend
        * "upgrading" - the time that passes doing the actual upgrade.  Multiple clusters in the same group are often upgraded in parallel
        * "recovering" - the time it takes to recover from (and re-attempt) a failed upgrade.  High performing organisations typically see upgrade failure rates around 5 - 15%.  Many organisations experience upgrade failure rates in excess of 50%

        The chart below visualises each of these steps:
        ''')
    ])),
    dbc.Card(body=True, children=[
        dbc.Row(
            dbc.Col(dcc.Graph(
                id='upgrade-cycle-single',
                figure=generate_upgrade_steps(
                    environment_groups=[
                        upgrade_cycle.EnvironmentGroup('Test', [
                            upgrade_cycle.Environment('TST-EAST'),
                            upgrade_cycle.Environment('TST-WEST')
                        ]),
                        upgrade_cycle.EnvironmentGroup('Production', [
                            upgrade_cycle.Environment('PROD-EAST'),
                            upgrade_cycle.Environment('PROD-WEST')
                        ])
                    ],
                    upgrade_failure_percentage=0.5,
                    maintenance_window='weekends'
                ),
                animate=True,
                animation_options={'frame': {'redraw': True, }},
            ), width=12)
        ),
    ]),