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
)
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))
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
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
)
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)
),
]),
dbc.Row(dbc.Col(width="auto", children=[